Old community environment sensor data processing method and system based on ultraviolet light communication

Abstract

The invention provides an old cell environment sensor data processing method and system based on ultraviolet light communication. The method comprises the following steps: acquiring an environment feature set of an external facade of an old community building through a distributed environment sensor array, and constructing an ultraviolet channel reflection skeleton in combination with an obstacle coordinate; fusing the aging factor attenuation model and the physical space topological structure through a dynamic space-time grid division engine, and generating a multi-dimensional feature segment set carrying space-time attenuation weights; analyzing channel interference in real time based on the interference intensity probability matrix of the ultraviolet channel reflection skeleton, and generating a multi-band transmission configuration result; and calibrating multipath transmission time delay through a phase compensation factor to construct an ultraviolet light pulse sequence carrying a path feature code, and when the difference degree of adjacent units exceeds a critical condition, triggering a closed loop feedback mechanism and updating a link weight. According to the technical scheme provided by the embodiment of the invention, the efficiency and precision of old cell environment sensor data processing can be improved.

Description

Technical Field

[0001] The embodiments of the present application relate to the technical field of environmental sensor data processing in old residential areas, and in particular, to a method and system for processing environmental sensor data in old residential areas based on ultraviolet light communication. Background Art

[0002] With the acceleration of urbanization, environmental monitoring and management of old residential areas have become particularly important. Due to the complex building structures and compact layouts of old residential areas, traditional wireless communication methods are easily interfered with during data transmission, resulting in information loss or delay, and cannot meet the needs of real-time monitoring. Therefore, an efficient and reliable communication method is needed to achieve real-time monitoring and analysis of various environmental parameters (such as temperature, humidity, air quality, etc.) in the community. In addition, in order to ensure the stability of the system and the accuracy of the data, it is also necessary to consider how to effectively deal with the multipath effects caused by complex physical obstacles and dynamically changing environmental conditions.

[0003] At present, most old communities use traditional wireless communication technologies such as wireless LAN or ZigBee protocol to collect and transmit environmental data. Although these technologies can meet basic data transmission needs, they face many challenges in complex urban environments. For example, wireless LAN signals have weak penetration and are prone to signal attenuation in densely built areas; and although the ZigBee protocol has low power consumption and good anti-interference ability, its transmission distance is limited and it is difficult to cover the entire community. In addition, traditional ultraviolet communication systems use line-of-sight transmission or fixed scattering paths, divide carrier frequency bands through frequency division multiplexing technology, and rely on static interference suppression algorithms to reduce multi-user interference. For example, the U.S. military's covert ultraviolet communication system uses a fixed modulation wavelength and scattering angle combination to achieve short-distance non-line-of-sight transmission through basic phase compensation.

[0004] The existing solutions have the following shortcomings: traditional wireless communication technology is easily interfered in complex physical environments, especially in old residential areas with tall buildings, where signal attenuation and multipath effects seriously affect the quality and reliability of data transmission; the existing system lacks an intelligent adjustment mechanism for different environmental conditions, and cannot optimize transmission parameters according to real-time conditions, resulting in a significant drop in performance under certain specific conditions; for large-scale network deployment, current technical solutions often lack sufficient robustness and scalability, making it difficult to support the simultaneous operation of a large number of sensor nodes, and have weak self-repair capabilities when encountering faults, affecting the stability and maintenance cost of the overall system; the existing collaborative communication technology lacks a spatiotemporal feature fusion mechanism, and cannot achieve accurate mapping of multidimensional environmental data with physical topology. These problems limit the actual application effect and development potential of environmental monitoring systems in old residential areas. Therefore, it is particularly necessary to develop a new environmental sensor data processing method based on ultraviolet light communication to solve the above problems and improve the overall performance of the system. Summary of the invention

[0005] The embodiments of the present application provide a method and system for processing environmental sensor data in old residential areas based on ultraviolet light communication, so as to solve the problems of low efficiency and poor accuracy in processing environmental sensor data in old residential areas in the prior art.

[0006] In a first aspect, an embodiment of the present application provides a method for processing environmental sensor data in an old residential area based on ultraviolet light communication, comprising: The distributed environmental sensor array on the facades of old residential buildings collects a set of environmental features, and constructs a UV channel reflection skeleton based on reflectivity and obstacle coordinates. The reflectivity is dynamically corrected through UV band penetration testing; Divide the environmental feature set into a multidimensional feature segment set according to the timeliness factor and the physical space association degree, and assign a discrete identifier to the multidimensional feature segment set and embed a carrier frequency band index; According to the interference intensity probability matrix of the ultraviolet channel reflection skeleton, the channel interference estimation information is analyzed in real time, and in combination with the iterative optimization mechanism of the pulse duty cycle, the combination of ultraviolet light modulation wavelength and scattering angle is dynamically adjusted to generate a multi-band transmission configuration result; According to the multi-band transmission configuration result, a multi-reflection link is established between adjacent environmental sensor nodes, the discrete identifier is mapped to a reflection path, the multipath transmission delay is calibrated by a phase compensation factor, and an ultraviolet light pulse sequence carrying a path feature code is generated; The timestamp of the ultraviolet light pulse sequence is parsed, path inversion is performed in combination with the phase compensation factor, the discrete identifier is extracted and path coding is generated, and when the difference between adjacent units exceeds a critical condition, an alarm signal is triggered and fed back to the ultraviolet channel reflection skeleton to update the link weight.

[0007] Optionally, the channel interference estimation information is analyzed in real time according to the interference intensity probability matrix of the ultraviolet channel reflection skeleton, and combined with the iterative optimization mechanism of the pulse duty cycle, the ultraviolet light modulation wavelength and the scattering angle combination are dynamically adjusted to generate a multi-band transmission configuration result, including: Based on the obstacle coordinate distribution and dynamically corrected reflectivity of the ultraviolet channel reflection skeleton, a probability distribution model of interference intensity is established through the spatial correlation of historical interference events to generate a multi-channel interference pattern set; According to the time-accumulated interference amount of each sub-area in the multi-channel interference pattern set, an interference intensity probability matrix with time-space attenuation coefficients is constructed, and a dominant interference source is screened based on the pulse response synchronization of adjacent sensor nodes; In combination with the azimuth angle of the dominant interference source and the convergence constraint condition of the pulse duty cycle, a mapping relationship table of the pulse duty cycle adjustment gradient and the wavelength-angle combination is established, and the pulse duty cycle of the ultraviolet light is iterated successively by a feedback interference suppression algorithm, and the priority weight of the mapping relationship table is synchronously updated; The ultraviolet light modulation wavelength and scattering angle combinations are dynamically screened according to the priority weights, and the combination options that conflict with the obstacle coordinates in the current channel reflection skeleton are eliminated to generate a multi-band transmission configuration result carrying a wavelength switching sequence and an angle offset compensation value. Optionally, in combination with the azimuth angle of the dominant interference source and the convergence constraint condition of the pulse duty cycle, a mapping relationship table of the pulse duty cycle adjustment gradient and the wavelength-angle combination is established, and the pulse duty cycle of the ultraviolet light is iterated successively by a feedback interference suppression algorithm, and the priority weight of the mapping relationship table is synchronously updated, including: Based on the azimuth discretization interval division result of the dominant interference source, an azimuth-duty cycle gradient correlation matrix is ​​constructed in combination with the convergence restriction condition range of the pulse duty cycle, and a mapping relationship table of the initial wavelength-angle combination is generated through coupling analysis of the interference source azimuth and the wavelength sensitivity coefficient; Extracting a time domain interference suppression window according to the pulse response synchronization characteristics of the dominant interference source, establishing a duty cycle adjustment step constraint condition based on the attenuation gradient of the interference intensity probability matrix within the window, and generating a dynamic adjustment information set; The duty cycle adjustment step constraint condition is iterated by using a feedback interference suppression algorithm, and the weight allocation factor of the dynamic adjustment information set is updated according to the deviation between the real-time interference suppression rate of the wavelength-angle combination and the target suppression constraint condition during the iteration process; The mapping relationship table is prioritized and reordered based on the weight allocation factor, and an optimized mapping relationship table is generated in combination with the elimination result of the dynamic adjustment information set to obtain an updated priority weight.

[0008] Optionally, parsing the timestamp of the ultraviolet light pulse sequence, performing path inversion in combination with the phase compensation factor, extracting the discrete identifier and generating a path code, and when the difference between adjacent units exceeds a critical condition, triggering an alarm signal and feeding it back to the ultraviolet channel reflection skeleton to update the link weight, including: The timestamp of the ultraviolet light pulse sequence is decomposed by multi-scale wavelet transform, a multipath signal reconstruction model is constructed by combining the reverse path tracing algorithm and the phase compensation factor, and the hop weight and azimuth correlation characteristics of the discrete identifier are extracted by convolutional neural network to generate a path coding matrix; Analyzing the vector of the difference between adjacent units of the path coding matrix based on a dynamic sliding window mechanism, when the modulus of the vector exceeds a dynamic threshold jointly determined by a sliding mean of a time factor and an entropy value of a physical space, triggering an alarm signal instruction and feeding it back to the ultraviolet channel reflection skeleton; The link stability weight and path loss gradient distribution in the path coding matrix are integrated to construct a path inversion confidence assessment model, and the path loss gradient matrix of the ultraviolet channel reflection skeleton is corrected by an adaptive particle filtering algorithm; Orthogonal frequency division multiplexing technology is used to embed the hop count weight of the path coding matrix into the pulse position modulation gap of the ultraviolet light carrier, and the anti-interference weight is generated by combining the cyclic redundancy check code and the path fingerprint feature, and the link weight is updated through the physical space entropy value weighting mechanism.

[0009] Optionally, the link stability weight and path loss gradient distribution in the path coding matrix are integrated to construct a path inversion confidence assessment model, and the path loss gradient matrix of the ultraviolet channel reflection skeleton is corrected by an adaptive particle filtering algorithm, including: Using a multi-dimensional feature space fusion engine to spatially align the link stability weights in the path coding matrix with the path loss gradient distribution, constructing a path inversion confidence assessment model including a dynamic weight factor, and reconstructing the path inversion confidence assessment model in a multi-dimensional feature space through a probability distribution fitting engine; A dynamic noise suppression model is used to fuse the reconstruction result of the path inversion confidence assessment model with the hop weight of the path coding matrix, a path loss gradient correction model is constructed, and the non-steady-state interference component in the path loss gradient matrix of the ultraviolet channel reflection skeleton is eliminated through an abnormal fluctuation detection mechanism; A nonlinear superposition engine is introduced to couple the output characteristics of the path inversion confidence assessment model with the link stability weight, generate a path loss gradient matrix carrying a feedback compensation coefficient and feed it back to the ultraviolet channel reflection skeleton; The path loss gradient matrix is ​​subjected to path fingerprint feature embedding processing based on an anti-interference coding protocol, and the path loss gradient matrix of the ultraviolet channel reflection skeleton is corrected by an adaptive particle filtering algorithm.

[0010] Optionally, according to the multi-band transmission configuration result, a multi-reflection link is established between adjacent environmental sensor nodes, the discrete identifier is mapped to a reflection path, the multipath transmission delay is calibrated by a phase compensation factor, and an ultraviolet light pulse sequence carrying a path feature code is generated, including: According to the multi-band transmission configuration result, an improved dynamic pheromone ant colony path optimization algorithm is used to fuse the path loss gradient and the link stability evaluation model, and candidate reflection links that meet the path loss threshold, hop count constraint and link stability threshold are screened in the reflection path topology diagram to generate a set of multiple reflection links; The discrete identifier is converted into a binary sequence through a deep convolutional encoder of an attention mechanism, the binary sequence is embedded into the pulse position modulation interval of the ultraviolet light carrier by using orthogonal frequency division multiplexing technology, and a cyclic redundancy check code is introduced to enhance the anti-interference ability of the ultraviolet light carrier; Based on the ultraviolet light carrier, the phase compensation factor is dynamically analyzed using the multiple reflection link set, and an adaptive time slot segmentation algorithm is used for windowed compensation. Ultraviolet light pulses carrying path feature codes are superimposed according to the reflection level in the compensated time slot window to generate an ultraviolet light pulse sequence.

[0011] Optionally, dividing the environmental feature set into a multidimensional feature segment set according to the timeliness factor and the physical space association degree, and allocating a discrete identifier to the multidimensional feature segment set and embedding a carrier frequency band index, including: A dynamic spatiotemporal grid partitioning engine is used to perform spatiotemporal correlation analysis on the environmental feature set, and a spatiotemporal correlation matrix including spatiotemporal attenuation weights is generated by combining the time factor attenuation model with the topological structure of the physical space correlation degree; The spatiotemporal association matrix is ​​divided into feature segments based on a multi-level clustering strategy, and the multi-dimensional feature segment set with spatiotemporal constraints is generated by dynamically fusing the spatiotemporal attenuation weight with the threshold of the physical space association degree; A dynamic hash tree structure is constructed to assign discrete identifiers to the multidimensional feature segment set, a frequency band feature matching module is used to couple the discrete identifiers with the output of the ultraviolet carrier frequency band generator for feature coding, and a frequency band dynamic allocation technology is introduced to embed the feature coding vector into the frequency band index sequence of the ultraviolet light carrier.

[0012] In a second aspect, an embodiment of the present application provides an old community environment sensor data processing system based on ultraviolet light communication, comprising: The acquisition module collects a set of environmental features through a distributed environmental sensor array on the facades of old residential buildings, and constructs a UV channel reflection skeleton based on reflectivity and obstacle coordinates. The reflectivity is dynamically corrected through UV band penetration testing; An allocation module, which divides the environmental feature set into a multidimensional feature segment set according to the timeliness factor and the physical space association degree, and allocates a discrete identifier to the multidimensional feature segment set and embeds a carrier frequency band index; An analysis module analyzes the channel interference estimation information in real time according to the interference intensity probability matrix of the ultraviolet channel reflection skeleton, and dynamically adjusts the combination of ultraviolet light modulation wavelength and scattering angle in combination with the iterative optimization mechanism of pulse duty cycle to generate a multi-band transmission configuration result; A mapping module, which establishes a multi-reflection link between adjacent environmental sensor nodes according to the multi-band transmission configuration result, maps the discrete identifier to a reflection path, calibrates the multipath transmission delay through a phase compensation factor, and generates an ultraviolet light pulse sequence carrying a path feature code; The update module parses the timestamp of the ultraviolet light pulse sequence, performs path inversion in combination with the phase compensation factor, extracts the discrete identifier and generates a path code, and triggers an alarm signal and feeds back to the ultraviolet channel reflection skeleton when the difference between adjacent units exceeds a critical condition to update the link weight.

[0013] In a third aspect, an embodiment of the present application provides a computing device, including a processing component and a storage component; the storage component stores one or more computer instructions; the one or more computer instructions are used to be called and executed by the processing component to implement a method for processing environmental sensor data in an old community based on ultraviolet light communication as described in the first aspect above.

[0014] In a fourth aspect, an embodiment of the present application provides a computer storage medium storing a computer program. When the computer program is executed by a computer, it implements a method for processing environmental sensor data in an old community based on ultraviolet light communication as described in the first aspect.

[0015] In the embodiment of the present application, a distributed environmental sensor array on the facade of the old community building is used to collect an environmental feature set, and an ultraviolet channel reflection skeleton is constructed based on the reflectivity and obstacle coordinates. The reflectivity is dynamically corrected through the ultraviolet band penetration test; the environmental feature set is divided into a multidimensional feature segment set according to the timeliness factor and the physical space correlation, and a discrete identifier is assigned to the multidimensional feature segment set and embedded in the carrier frequency band index; the channel interference estimation information is analyzed in real time according to the interference intensity probability matrix of the ultraviolet channel reflection skeleton, and the ultraviolet light modulation wave is dynamically adjusted in combination with the iterative optimization mechanism of the pulse duty cycle. The method comprises the following steps: combining the length of the ultraviolet light pulse sequence and the scattering angle to generate a multi-band transmission configuration result; establishing a multiple reflection link between adjacent environmental sensor nodes according to the multi-band transmission configuration result, mapping the discrete identifier to the reflection path, calibrating the multipath transmission delay through the phase compensation factor and generating an ultraviolet light pulse sequence carrying the path feature code; parsing the timestamp of the ultraviolet light pulse sequence, performing path inversion in combination with the phase compensation factor, extracting the discrete identifier and generating the path code, and triggering an alarm signal and feeding it back to the ultraviolet channel reflection skeleton when the difference between adjacent units exceeds a critical condition to update the link weight.

[0016] The technical solution of this application has the following beneficial effects: This application collects environmental data by deploying distributed environmental sensor arrays on the facades of old residential buildings, and uses ultraviolet light communication technology for data transmission. This method not only overcomes the problem that traditional wireless communications are susceptible to interference in complex environments, but also dynamically adjusts the modulation wavelength and scattering angle by constructing an ultraviolet channel reflection skeleton based on reflectivity and obstacle coordinates to ensure the stability and reliability of data transmission. At the same time, the method of embedding discrete identifiers into carrier frequency band indexes is used to effectively distinguish data streams of different characteristic segments, thereby enhancing data processing efficiency. Combining the multi-band transmission configuration results and phase compensation factor calibration technology, the transmission error caused by the multipath effect can be significantly reduced, and the accuracy of data transmission can be improved. In addition, by real-time analysis of channel interference estimation information and feeding it back to the system to update the link weight, the system's adaptability and anti-interference capabilities are further improved.

[0017] Furthermore, an effective solution is proposed for the interference problems that may be encountered in ultraviolet light communications. A probability distribution model of interference intensity is established by analyzing the spatial correlation of historical interference events, and a set of multi-channel interference patterns is generated accordingly to ensure that the system can more accurately identify potential interference sources and their impact ranges. The interference intensity probability matrix constructed based on the spatiotemporal attenuation coefficient helps to screen out the dominant interference sources, thereby providing a basis for subsequent optimization. The mapping relationship table of the pulse duty cycle adjustment gradient and the wavelength-angle combination and the application of the feedback interference suppression algorithm ensure the fine regulation of ultraviolet light pulse parameters, greatly reducing the impact of interference on communication quality. The multi-band transmission configuration result finally generated with the wavelength switching sequence and angle offset compensation value ensures that an efficient and stable communication connection can be maintained even in the presence of obstacles, greatly improving the success rate and stability of data transmission.

[0018] Furthermore, through detailed interference source azimuth analysis and pulse response synchronization feature extraction, accurate locking and interference suppression of the interference source can be achieved. First, by constructing the azimuth-duty cycle gradient association matrix and combining the wavelength sensitivity coefficient analysis of the interference source, the mapping relationship table of the wavelength-angle combination is preliminarily determined, laying the foundation for subsequent optimization. Then, the attenuation gradient in the time domain interference suppression window is used to set the duty cycle adjustment step constraint to ensure that each iteration can move in the direction of reducing interference. The application of the feedback interference suppression algorithm enables the entire process to be flexibly adjusted according to the actual interference situation and continuously approach the optimal solution. Finally, by reordering the weight allocation factors of the dynamically adjusted information set, the optimized mapping relationship table is obtained, which not only improves the interference suppression efficiency, but also enhances the robustness and flexibility of the system, enabling the ultraviolet light communication system to maintain high-quality data transmission services in complex and changing environments.

[0019] These and other aspects of the present application will become more clearly understood in the description of the following embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0021] Figure 1 A flow chart of a method for processing environmental sensor data in an old residential area based on ultraviolet light communication provided by the present application is shown; Figure 2A schematic diagram of the structure of an old residential area environmental sensor data processing system based on ultraviolet light communication provided by the present application is shown; Figure 3 A schematic diagram of the structure of a computing device provided by the present application is shown. DETAILED DESCRIPTION

[0022] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0023] In some of the processes described in the specification and claims of this application and the above-mentioned figures, multiple operations that appear in a specific order are included, but it should be clearly understood that these operations may not be executed in the order in which they appear in this article or executed in parallel. The serial numbers of the operations, such as 101, 102, etc., are only used to distinguish between different operations, and the serial numbers themselves do not represent any execution order. In addition, these processes may include more or fewer operations, and these operations may be executed in sequence or in parallel. It should be noted that the descriptions of "first", "second", etc. in this article are used to distinguish different messages, devices, modules, etc., do not represent the order of precedence, and do not limit the "first" and "second" to be different types.

[0024] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of this application.

[0025] Figure 1 A flowchart of a method for processing environmental sensor data in an old residential area based on ultraviolet light communication is provided for an embodiment of the present application, such as Figure 1 As shown, the method includes: 101. Collect environmental feature sets through distributed environmental sensor arrays on the facades of old residential buildings, and construct an ultraviolet channel reflection skeleton based on reflectivity and obstacle coordinates. The reflectivity is dynamically corrected through ultraviolet band penetration testing; In this step, distributed environmental sensor arrays are installed on the facades of old residential buildings. Through the distributed environmental sensor arrays, various environmental characteristic data including temperature, humidity, and air quality can be collected. These data are essential for monitoring and improving the residential environment. Based on the collected data and the building surface reflectivity and obstacle coordinate information, a UV channel reflection skeleton model is constructed. The model dynamically corrects the reflectivity parameters by regularly conducting UV band penetration tests to adapt to the optimal transmission efficiency under different weather conditions.

[0026] In the application example, in a renovation project of an old residential area, technicians first deployed multiple environmental sensor nodes on the facade to monitor environmental conditions in real time. Subsequently, technicians used specially designed equipment to test the reflection performance of ultraviolet rays on different surfaces and adjusted the reflectivity parameters based on the results. This step laid a solid foundation for subsequent data processing and communication, and also improved the adaptability and stability of the entire system.

[0027] 102. Divide the environmental feature set into a multidimensional feature segment set according to the timeliness factor and the physical space correlation, and assign a discrete identifier to the multidimensional feature segment set and embed a carrier frequency band index into it; In this step, the environmental feature set is divided into a multidimensional feature segment set according to the timeliness factor (i.e., the freshness of the data) and the physical space correlation. Each feature segment is assigned a discrete identifier and embedded with a carrier frequency band index to facilitate the identification and processing of different types of data streams and improve data processing efficiency. This approach enables the system to more effectively manage and analyze data from different sensors.

[0028] In the application embodiment, continuing with the previous case, the system begins to classify the data collected from each sensor node according to its timeliness and location. For example, alarm information related to emergency situations is set with a high priority identifier to ensure that such information can be processed quickly. At the same time, by classifying and encoding the data, the system can manage the information flow more efficiently, thereby improving the overall service quality and response speed.

[0029] 103. According to the interference intensity probability matrix of the ultraviolet channel reflection skeleton, the channel interference estimation information is analyzed in real time, and in combination with the iterative optimization mechanism of the pulse duty cycle, the combination of ultraviolet light modulation wavelength and scattering angle is dynamically adjusted to generate a multi-band transmission configuration result; In this step, based on the interference intensity probability matrix of the UV channel reflection skeleton, the system can evaluate the interference of the channel in real time. Combined with the pulse duty cycle iterative optimization mechanism, the UV light modulation wavelength and scattering angle combination are dynamically adjusted to generate a multi-band transmission configuration result suitable for the current environmental conditions to ensure communication quality. This method can effectively reduce the impact of external factors on data transmission and improve the stability and reliability of communication.

[0030] In the embodiment of the application, the data collected by each sensor node is classified in the embodiment of step 102. When strong electromagnetic interference is detected in a certain area, the system will automatically adjust the transmission parameters of the sensor nodes in the area. For example, the effect of interference on data transmission can be reduced by changing the wavelength and scattering angle of ultraviolet light. This step ensures that high-quality data transmission can be maintained even in complex environments, further enhancing the reliability and stability of the system.

[0031] 104. According to the multi-band transmission configuration result, a multi-reflection link is established between adjacent environmental sensor nodes, the discrete identifier is mapped to a reflection path, the multipath transmission delay is calibrated by a phase compensation factor, and an ultraviolet light pulse sequence carrying a path feature code is generated; In this step, multiple reflection links are established between adjacent sensor nodes based on the multi-band transmission configuration results. Discrete identifiers are mapped to reflection paths, and phase compensation factors are used to calibrate multipath transmission delays to generate ultraviolet light pulse sequences carrying path feature codes to ensure the accuracy and reliability of data transmission. This method not only improves the success rate of data transmission, but also increases the robustness of the network.

[0032] In the application embodiment, in the above case, in order to enhance the robustness of the network, the system establishes multiple reflection paths to connect the sensor nodes. When the main path is blocked, the backup path immediately takes over the communication task to ensure the continuity and integrity of the data. In addition, the transmission delay caused by the multipath effect is reduced through phase compensation technology, further improving the accuracy and efficiency of data transmission.

[0033] 105. Analyze the timestamp of the ultraviolet light pulse sequence, perform path inversion in combination with the phase compensation factor, extract the discrete identifier and generate path coding, and when the difference between adjacent units exceeds a critical condition, trigger an alarm signal and feed it back to the ultraviolet channel reflection skeleton to update the link weight.

[0034] In this step, the timestamp of the UV pulse sequence is parsed, the path is inverted in combination with the phase compensation factor, the discrete identifier is extracted and the path code is generated. Once the difference between adjacent units exceeds the preset threshold, an alarm signal is triggered and feedback is sent to the UV channel reflection skeleton to update the link weight to ensure the system's adaptability and anti-interference ability. This method can not only improve the system's self-healing ability, but also enhance the security of the entire network.

[0035] In the application embodiment, in the last stage, the system continuously monitors the status of all links. Once it is found that the data of a node is significantly different from that of other nodes, the system will immediately issue a warning and recalculate the optimal path to ensure that information transmission is not affected. This not only ensures the reliable transmission of data, but also improves the self-protection ability of the system and ensures the safe operation of the entire network.

[0036] In summary, through the above steps 101 to 105, from data collection, classification coding, interference suppression, path planning to the final error detection and link optimization, the transmission efficiency and accuracy of sensor data in the old community environment are effectively improved. This method solves the problem that traditional wireless communications are susceptible to interference in complex environments, and greatly improves the reliability and security of data transmission through intelligent adaptive mechanisms and multiple redundant designs. In addition, by dynamically adjusting and optimizing transmission parameters, the special needs of different application scenarios are further met, showing broad application prospects and technical potential. The entire process not only improves the system's response speed and service quality, but also enhances the system's robustness and self-healing capabilities.

[0037] Optionally, in step 103, the channel interference estimation information is analyzed in real time according to the interference intensity probability matrix of the ultraviolet channel reflection skeleton, and the combination of ultraviolet light modulation wavelength and scattering angle is dynamically adjusted in combination with the iterative optimization mechanism of the pulse duty cycle to generate a multi-band transmission configuration result, including: Based on the obstacle coordinate distribution and dynamically corrected reflectivity of the ultraviolet channel reflection skeleton, a probability distribution model of interference intensity is established through the spatial correlation of historical interference events, and a multi-channel interference pattern set is generated; according to the time-accumulated interference amount of each sub-area in the multi-channel interference pattern set, an interference intensity probability matrix with a time-space attenuation coefficient is constructed, and the dominant interference source is screened based on the pulse response synchronization of adjacent sensor nodes; in combination with the azimuth angle of the dominant interference source and the convergence constraint conditions of the pulse duty cycle, a mapping relationship table of the pulse duty cycle adjustment gradient and the wavelength-angle combination is established, and the pulse duty cycle of the ultraviolet light is successively approximated and iterated through a feedback interference suppression algorithm, and the priority weight of the mapping relationship table is synchronously updated; according to the priority weight, the combination of ultraviolet light modulation wavelength and scattering angle is dynamically screened, and the combination options that conflict with the obstacle coordinates in the current channel reflection skeleton are eliminated, and a multi-band transmission configuration result carrying a wavelength switching sequence and an angle offset compensation value is generated. Optionally, in combination with the azimuth angle of the dominant interference source and the convergence constraint condition of the pulse duty cycle, a mapping relationship table of the pulse duty cycle adjustment gradient and the wavelength-angle combination is established, and the pulse duty cycle of the ultraviolet light is iterated successively by a feedback interference suppression algorithm, and the priority weight of the mapping relationship table is synchronously updated, including: Based on the discretization interval division result of the azimuth angle of the dominant interference source, an azimuth angle-duty cycle gradient association matrix is ​​constructed in combination with the convergence constraint range of the pulse duty cycle, and a mapping relationship table of the initial wavelength-angle combination is generated through the coupling analysis of the interference source azimuth angle and the wavelength sensitivity coefficient; the time domain interference suppression window is extracted according to the pulse response synchronization characteristics of the dominant interference source, and the duty cycle adjustment step constraint condition is established based on the attenuation gradient of the interference intensity probability matrix in the window to generate a dynamic adjustment information set; the duty cycle adjustment step constraint condition is successively approximated and iterated using a feedback interference suppression algorithm, and the weight allocation factor of the dynamic adjustment information set is updated according to the deviation between the real-time interference suppression rate of the wavelength-angle combination and the target suppression constraint condition during the iteration process; the mapping relationship table is prioritized based on the weight allocation factor, and the optimized mapping relationship table is generated in combination with the elimination result of the dynamic adjustment information set to obtain an updated priority weight.

[0038] In this embodiment, based on the obstacle coordinate distribution and dynamically corrected reflectivity of the ultraviolet channel reflection skeleton, a probability distribution model of interference intensity is established by analyzing the spatial correlation of historical interference events, thereby generating a multi-channel interference pattern set. This process not only takes into account the impact of static physical obstacles on signal transmission, but also combines the accumulated interference in the time dimension to construct an interference intensity probability matrix with a spatiotemporal attenuation coefficient. The matrix is ​​used to screen out the dominant interference source, and further analyze the relationship between its azimuth angle and pulse duty cycle to establish a mapping relationship table between the pulse duty cycle adjustment gradient and the wavelength-angle combination. The ultimate goal is to optimize the ultraviolet light modulation parameters and improve the quality of data transmission.

[0039] In the embodiment of the present application, first, the interference pattern is determined according to the obstacle position and reflectivity information, and the time-accumulated interference amount of each sub-area is calculated to form an interference intensity probability matrix. Then, the main interference source is screened out by using the pulse response synchronization of adjacent sensor nodes, and an initial wavelength-angle combination mapping table is created in combination with the constraints of its azimuth angle and pulse duty cycle. Then, the pulse duty cycle is iteratively optimized using a feedback interference suppression algorithm, gradually approaching the optimal solution, and the priority weights in the mapping table are updated in real time. Finally, according to these weights, the wavelength and scattering angle combination that best suits the current environmental conditions is screened out to ensure that the data transmission path is not affected by obstacles and to improve communication efficiency and stability.

[0040] In a renovation project for an old residential area, technicians first used a distributed sensor network to collect environmental data and dynamically adjusted the reflectivity parameters through ultraviolet penetration tests. Subsequently, a probability distribution model of interference intensity was established using historical data, and several major interference sources in the community were identified. For example, on the side close to the road, due to the strong air pollution and electromagnetic interference caused by vehicle exhaust, the system automatically adjusted the transmission parameters of the sensor nodes in this area. By fine-tuning the wavelength and scattering angle of ultraviolet light, the impact of interference on data transmission was reduced. In addition, the system continuously optimizes the pulse duty cycle based on real-time monitoring results to ensure efficient and stable data transmission performance even in complex environments. This series of measures significantly improves the reliability and adaptability of the entire system, providing residents with a more comfortable and safe living environment.

[0041] Optionally, in step 105, the timestamp of the ultraviolet light pulse sequence is parsed, path inversion is performed in combination with the phase compensation factor, the discrete identifier is extracted and path coding is generated, and when the difference between adjacent units exceeds a critical condition, an alarm signal is triggered and fed back to the ultraviolet channel reflection skeleton to update the link weight, including: The timestamp of the ultraviolet light pulse sequence is decomposed by multi-scale wavelet transform, and a multipath signal reconstruction model is constructed by combining the reverse path tracing algorithm and the phase compensation factor. The hop weight and azimuth correlation characteristics of the discrete identifier are extracted by convolutional neural network to generate a path coding matrix. The vector of the difference between adjacent units of the path coding matrix is ​​analyzed based on a dynamic sliding window mechanism. When the module value of the vector exceeds the dynamic threshold jointly determined by the sliding mean of the time factor and the physical space entropy value, an alarm signal instruction is triggered and fed back to the ultraviolet channel reflection skeleton. The link stability weight and path loss gradient distribution in the path coding matrix are integrated to construct a path inversion confidence assessment model, and the path loss gradient matrix of the ultraviolet channel reflection skeleton is corrected by an adaptive particle filtering algorithm. The hop weight of the path coding matrix is ​​embedded in the pulse position modulation gap of the ultraviolet light carrier by orthogonal frequency division multiplexing technology, and the anti-interference weight is generated by combining the cyclic redundancy check code and the path fingerprint feature, and the link weight is updated by the physical space entropy value weighting mechanism.

[0042] Optionally, the link stability weight and path loss gradient distribution in the path coding matrix are integrated to construct a path inversion confidence assessment model, and the path loss gradient matrix of the ultraviolet channel reflection skeleton is corrected by an adaptive particle filtering algorithm, including: A multi-dimensional feature space fusion engine is used to spatially align the link stability weights in the path coding matrix with the path loss gradient distribution, and a path inversion confidence assessment model including a dynamic weight factor is constructed. The path inversion confidence assessment model is reconstructed in a multi-dimensional feature space through a probability distribution fitting engine. A dynamic noise suppression model is used to fuse the reconstruction result of the path inversion confidence assessment model with the hop weight of the path coding matrix, and a path loss gradient correction model is constructed. The non-steady-state interference component in the path loss gradient matrix of the ultraviolet channel reflection skeleton is eliminated through an abnormal fluctuation detection mechanism. A nonlinear superposition engine is introduced to couple the output characteristics of the path inversion confidence assessment model with the link stability weight, and a path loss gradient matrix carrying a feedback compensation coefficient is generated and fed back to the ultraviolet channel reflection skeleton. The path fingerprint feature is embedded in the path loss gradient matrix based on an anti-interference coding protocol, and the path loss gradient matrix of the ultraviolet channel reflection skeleton is corrected through an adaptive particle filtering algorithm.

[0043] In this embodiment, in order to improve the accuracy and reliability of data transmission, the timestamp of the ultraviolet pulse sequence is decomposed by multi-scale wavelet transform, and a multipath signal reconstruction model is constructed by combining the reverse path tracing algorithm and the phase compensation factor. The hop weight and azimuth correlation characteristics are analyzed by convolutional neural network to generate a path coding matrix. The difference between adjacent units of the path coding matrix is ​​evaluated based on the dynamic sliding window mechanism, and an alarm signal is triggered when it exceeds the threshold determined by the sliding mean of the time factor and the entropy value of the physical space. In addition, the link stability weight and the path loss gradient distribution are integrated, and the path loss gradient matrix is ​​corrected using an adaptive particle filter algorithm to enhance the anti-interference ability of the system.

[0044] In the embodiment of the present application, first, a multi-scale wavelet transform is used to process the timestamp of the ultraviolet pulse sequence, and a multipath signal reconstruction model is generated by reverse path tracing and phase compensation factors. Next, a convolutional neural network is applied to extract the key features of discrete identifiers to form a path coding matrix. Then, a dynamic sliding window mechanism is used to monitor the changes in the path coding matrix, and once an abnormality is found, an alarm is triggered and fed back to the system. For further optimization, the link stability weight is fused with the path loss gradient distribution, a path inversion confidence assessment model is constructed, and it is corrected by an adaptive particle filter algorithm. Finally, orthogonal frequency division multiplexing technology is used to embed the hop weight of the path coding matrix, and the link weight is updated in combination with the cyclic redundancy check code to ensure the stability of data transmission.

[0045] In order to further improve the efficiency of the renovation of old residential areas, in the actual case of the renovation of old residential areas, based on the ultraviolet light pulse sequence generated in step 104, in step 105, the technicians first used a distributed sensor network to collect environmental data, and dynamically adjusted the reflectivity parameters through ultraviolet penetration tests. Subsequently, a multi-scale wavelet transform was used to parse the timestamps of the ultraviolet light pulse sequence, and combined with the inverse path tracing algorithm and the phase compensation factor, multiple data transmission paths were successfully reconstructed. The data features extracted by the convolutional neural network are used to generate a path encoding matrix to monitor the stability of these paths in real time. When the performance of a certain path is detected to be significantly reduced, the system automatically triggers an alarm and recalculates the optimal path based on the new data. In addition, the path loss gradient matrix is ​​continuously optimized through the adaptive particle filter algorithm to ensure efficient data transmission even when network conditions change. This series of measures significantly improves the reliability and anti-interference ability of the entire system, providing residents with a more comfortable and safe living environment.

[0046] Optionally, in step 104, according to the multi-band transmission configuration result, a multi-reflection link is established between adjacent environmental sensor nodes, the discrete identifier is mapped to a reflection path, the multipath transmission delay is calibrated by a phase compensation factor, and an ultraviolet light pulse sequence carrying a path feature code is generated, including: According to the multi-band transmission configuration result, an improved dynamic pheromone ant colony path optimization algorithm is used to fuse the path loss gradient and the link stability evaluation model, and candidate reflection links that meet the path loss threshold, hop count constraint and link stability threshold are screened in the reflection path topology diagram to generate a set of multiple reflection links; the discrete identifier is converted into a binary sequence through a deep convolutional encoder with an attention mechanism, and the binary sequence is embedded in the pulse position modulation gap of the ultraviolet light carrier using orthogonal frequency division multiplexing technology, and a cyclic redundancy check code is introduced to enhance the anti-interference ability of the ultraviolet light carrier; based on the ultraviolet light carrier, the phase compensation factor is dynamically analyzed using the multiple reflection link set, and an adaptive time slot segmentation algorithm is used for windowed compensation. In the compensated time slot window, ultraviolet light pulses carrying path feature encoding are superimposed according to the reflection level to generate an ultraviolet light pulse sequence.

[0047] In this embodiment, in the old community renovation project, in order to optimize the communication path between adjacent environmental sensor nodes, an improved dynamic pheromone ant colony path optimization algorithm combined with a path loss gradient and a link stability evaluation model is used. This method first screens out candidate reflection links that meet specific conditions, including path loss thresholds, hop count constraints, and link stability thresholds, to form a set of multiple reflection links. Then, the discrete identifier is converted into a binary sequence through a deep convolutional encoder with an attention mechanism, and the ultraviolet carrier pulse position modulation gap is embedded using orthogonal frequency division multiplexing technology, while a cyclic redundancy check code is introduced to enhance the anti-interference ability of data transmission. Finally, phase compensation is performed based on an adaptive time slot segmentation algorithm to ensure that the multipath transmission delay is effectively calibrated.

[0048] In the embodiment of the present application, first, based on the multi-band transmission configuration results, an improved dynamic pheromone ant colony path optimization algorithm is used to select the optimal reflection links, which must meet the path loss and link stability requirements. Then, the discrete identifier of each node is converted into a binary format suitable for transmission through a deep convolutional encoder, and embedded into the ultraviolet light carrier using orthogonal frequency division multiplexing technology, while adding a cyclic redundancy check code to improve transmission reliability. Next, based on the selected set of multiple reflection links, the phase compensation factor is calculated and the transmission window is adjusted using an adaptive time slot segmentation algorithm to ensure that the ultraviolet light pulse sequences on the reflection paths of each level can be accurately superimposed to generate the final ultraviolet light pulse sequence, thereby achieving efficient data transmission.

[0049] In order to further improve the efficiency of the renovation of old residential areas, based on the probability distribution model of interference intensity established by the technicians using historical data in step 103, in step 104, the technicians first deployed a distributed sensor network to collect environmental data, and dynamically adjusted the reflectivity parameters through ultraviolet penetration tests. Subsequently, in step 104, the improved dynamic pheromone ant colony path optimization algorithm was applied to select the best reflection link combination to ensure the stability and efficiency of the data transmission path. For each sensor node, its discrete identifier is converted into a binary sequence and embedded into the ultraviolet light carrier through orthogonal frequency division multiplexing technology. In addition, the system also adds a cyclic redundancy check code to enhance the robustness of data transmission. Finally, based on the calculated phase compensation factor and the adaptive time slot segmentation algorithm, the ultraviolet light pulses of different reflection levels are precisely synchronized and superimposed to ensure high-quality data transmission even in complex environments. This method significantly improves the reliability of the system and the accuracy of data transmission, providing residents with a better living environment.

[0050] Optionally, in step 102, the environmental feature set is divided into a multidimensional feature segment set according to the timeliness factor and the physical space association degree, and a discrete identifier is assigned to the multidimensional feature segment set and embedded into a carrier frequency band index, including: A dynamic spatiotemporal grid partitioning engine is used to perform spatiotemporal correlation analysis on the environmental feature set, and a spatiotemporal correlation matrix containing spatiotemporal attenuation weights is generated by combining the time factor attenuation model with the topological structure of the physical space correlation. The spatiotemporal correlation matrix is ​​divided into feature segments based on a multi-level clustering strategy, and the multidimensional feature segment set with spatiotemporal constraints is generated by dynamically fusing the spatiotemporal attenuation weights with the threshold of the physical space correlation. A dynamic hash tree structure is constructed to allocate discrete identifiers to the multidimensional feature segment set, and a frequency band feature matching module is used to couple the discrete identifiers with the output of the ultraviolet carrier frequency band generator for feature coding, and a frequency band dynamic allocation technology is introduced to embed the feature coding vector into the frequency band index sequence of the ultraviolet light carrier.

[0051] In this embodiment, in the old community renovation project, a dynamic spatiotemporal grid partitioning engine is used to analyze the environmental feature set, and a spatiotemporal association matrix containing spatiotemporal attenuation weights is generated by combining the time factor attenuation model and the topological structure of the physical space correlation. This matrix not only takes into account the temporal freshness of the data, but also the relevance of its geographical location. Based on this, the spatiotemporal association matrix is ​​divided into a multidimensional feature segment set with spatiotemporal constraints through a multi-level clustering strategy. Subsequently, a dynamic hash tree structure is used to assign discrete identifiers to these feature segments, and the frequency band feature matching module is used to couple it with the output of the ultraviolet carrier frequency band generator, and finally the frequency band dynamic allocation technology is used to embed the encoded feature vector into the frequency band index sequence of the ultraviolet light carrier to achieve efficient data management and transmission.

[0052] In an embodiment of the present application, first, a dynamic spatiotemporal grid partitioning engine is used to perform spatiotemporal correlation analysis on the collected environmental feature data to generate a spatiotemporal correlation matrix. Then, according to the time factor attenuation model and the threshold of the physical space correlation, these data are divided into multiple feature segment sets through a multi-level clustering strategy. Each set contains environmental data within a specific time and space range. Next, a dynamic hash tree structure is constructed to assign unique discrete identifiers to these feature segments, and a frequency band feature matching module is used to couple these identifiers with the ultraviolet carrier frequency band to form a feature coding vector. Finally, these coding vectors are embedded in the frequency band index sequence of the ultraviolet light carrier through the frequency band dynamic allocation technology to ensure that data can be accurately and quickly transmitted between different sensor nodes.

[0053] In an actual case of renovation of an old residential area, technicians first installed a series of distributed sensors to monitor environmental parameters such as temperature and humidity. In order to effectively manage this data, a dynamic spatiotemporal grid partitioning engine was used to perform spatiotemporal correlation analysis on the environmental feature set and generate a spatiotemporal correlation matrix. Based on this matrix, the data was divided into multiple feature segment sets through a multi-level clustering strategy, and each set of data had its specific time and space attributes. Then, discrete identifiers were assigned to each feature segment, and these identifiers were coupled to the ultraviolet carrier frequency band through the frequency band feature matching module. For example, when monitoring changes in air quality, the system can quickly identify and process data from different areas to ensure the timeliness and accuracy of information. In addition, the dynamic frequency band allocation technology ensures stable data transmission performance even when the network load is high, greatly improving the overall efficiency and service quality of the system. This series of measures makes the environmental monitoring of old residential areas more intelligent and efficient, providing residents with a better living experience.

[0054] Figure 2 A structural diagram of an old residential area environmental sensor data processing system based on ultraviolet light communication is provided for an embodiment of the present application, such as Figure 2 As shown, the device comprises: The acquisition module 21 collects the environmental feature set through the distributed environmental sensor array on the facades of the old residential buildings, and constructs the ultraviolet channel reflection skeleton based on the reflectivity and obstacle coordinates. The reflectivity is dynamically corrected through the ultraviolet band penetration test; An allocation module 22 divides the environmental feature set into a multidimensional feature segment set according to the timeliness factor and the physical space association degree, and allocates a discrete identifier to the multidimensional feature segment set and embeds a carrier frequency band index; The analysis module 23 analyzes the channel interference estimation information in real time according to the interference intensity probability matrix of the ultraviolet channel reflection skeleton, and dynamically adjusts the combination of ultraviolet light modulation wavelength and scattering angle in combination with the iterative optimization mechanism of the pulse duty cycle to generate a multi-band transmission configuration result; A mapping module 24, which establishes a multi-reflection link between adjacent environmental sensor nodes according to the multi-band transmission configuration result, maps the discrete identifier to a reflection path, calibrates the multipath transmission delay through a phase compensation factor, and generates an ultraviolet light pulse sequence carrying a path feature code; The updating module 25 parses the timestamp of the ultraviolet light pulse sequence, performs path inversion in combination with the phase compensation factor, extracts the discrete identifier and generates a path code, and triggers an alarm signal and feeds back to the ultraviolet channel reflection skeleton when the difference between adjacent units exceeds a critical condition to update the link weight.

[0055] Figure 2The old residential area environmental sensor data processing system based on ultraviolet light communication can be executed Figure 1 The implementation principle and technical effect of the method for processing environmental sensor data in old residential areas based on ultraviolet light communication described in the embodiment shown will not be described in detail. The specific way in which each module and unit performs operations in the above embodiment of the environmental sensor data processing system for old residential areas based on ultraviolet light communication has been described in detail in the embodiment of the method, and will not be elaborated here.

[0056] In one possible design, Figure 2 The old residential area environment sensor data processing system based on ultraviolet light communication of the embodiment shown can be implemented as a computing device, such as Figure 3 As shown, the computing device may include a storage component 31 and a processing component 32; The storage component 31 stores one or more computer instructions, wherein the one or more computer instructions are called and executed by the processing component 32 .

[0057] The processing component 32 is used for the above Figure 1 The embodiment provides a method for processing environmental sensor data in an old residential area based on ultraviolet light communication.

[0058] The processing component 32 may include one or more processors to execute computer instructions to complete all or part of the steps in the above method. Of course, the processing component may also be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components to perform the above method.

[0059] The storage component 31 is configured to store various types of data to support operations at the terminal. The storage component can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0060] Of course, the computing device may also include other components, such as input / output interfaces, display components, communication components, etc.

[0061] The input / output interface provides an interface between the processing component and the peripheral interface module, which may be an output device, an input device, etc.

[0062] The communication component is configured to facilitate, among other things, wired or wireless communications between the computing device and other devices.

[0063] Among them, the computing device can be a physical device or an elastic computing host provided by a cloud computing platform, etc. In this case, the computing device can refer to a cloud server, and the above-mentioned processing components, storage components, etc. can be basic server resources rented or purchased from the cloud computing platform.

[0064] The present application also provides a computer storage medium storing a computer program, wherein the computer program can achieve the above-mentioned Figure 1 The illustrated embodiment is a method for processing data of an old residential area environment sensor based on ultraviolet light communication.

[0065] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0066] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0067] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0068] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for processing environmental sensor data in old residential areas based on ultraviolet light communication, characterized in that: include: The distributed environmental sensor array on the facades of old residential buildings collects a set of environmental features, and constructs a UV channel reflection skeleton based on reflectivity and obstacle coordinates. The reflectivity is dynamically corrected through UV band penetration testing; Divide the environmental feature set into a multidimensional feature segment set according to the timeliness factor and the physical space association degree, and assign a discrete identifier to the multidimensional feature segment set and embed a carrier frequency band index; According to the interference intensity probability matrix of the ultraviolet channel reflection skeleton, the channel interference estimation information is analyzed in real time, and in combination with the iterative optimization mechanism of the pulse duty cycle, the combination of ultraviolet light modulation wavelength and scattering angle is dynamically adjusted to generate a multi-band transmission configuration result; According to the multi-band transmission configuration result, a multi-reflection link is established between adjacent environmental sensor nodes, the discrete identifier is mapped to a reflection path, the multipath transmission delay is calibrated by a phase compensation factor, and an ultraviolet light pulse sequence carrying a path feature code is generated; The timestamp of the ultraviolet light pulse sequence is parsed, path inversion is performed in combination with the phase compensation factor, the discrete identifier is extracted and path coding is generated, and when the difference between adjacent units exceeds a critical condition, an alarm signal is triggered and fed back to the ultraviolet channel reflection skeleton to update the link weight.

2. The method according to claim 1, characterized in that According to the interference intensity probability matrix of the ultraviolet channel reflection skeleton, the channel interference estimation information is analyzed in real time, and combined with the iterative optimization mechanism of the pulse duty cycle, the ultraviolet light modulation wavelength and scattering angle combination are dynamically adjusted to generate a multi-band transmission configuration result, including: Based on the obstacle coordinate distribution and dynamically corrected reflectivity of the ultraviolet channel reflection skeleton, a probability distribution model of interference intensity is established through the spatial correlation of historical interference events to generate a multi-channel interference pattern set; According to the time-accumulated interference amount of each sub-area in the multi-channel interference pattern set, an interference intensity probability matrix with time-space attenuation coefficients is constructed, and a dominant interference source is screened based on the pulse response synchronization of adjacent sensor nodes; In combination with the azimuth angle of the dominant interference source and the convergence constraint condition of the pulse duty cycle, a mapping relationship table of the pulse duty cycle adjustment gradient and the wavelength-angle combination is established, and the pulse duty cycle of the ultraviolet light is iterated successively by a feedback interference suppression algorithm, and the priority weight of the mapping relationship table is synchronously updated; The ultraviolet light modulation wavelength and scattering angle combinations are dynamically screened according to the priority weights, and the combination options that conflict with the obstacle coordinates in the current channel reflection skeleton are eliminated to generate a multi-band transmission configuration result carrying a wavelength switching sequence and an angle offset compensation value.

3. The method according to claim 2, characterized in that Combined with the convergence restriction condition of the azimuth angle of the dominant interference source and the pulse duty cycle, a mapping relationship table of the pulse duty cycle adjustment gradient and the wavelength-angle combination is established, and the pulse duty cycle of the ultraviolet light is iterated successively by a feedback interference suppression algorithm, and the priority weight of the mapping relationship table is synchronously updated, including: Based on the azimuth discretization interval division result of the dominant interference source, an azimuth-duty cycle gradient correlation matrix is ​​constructed in combination with the convergence restriction condition range of the pulse duty cycle, and a mapping relationship table of the initial wavelength-angle combination is generated through coupling analysis of the interference source azimuth and the wavelength sensitivity coefficient; Extracting a time domain interference suppression window according to the pulse response synchronization characteristics of the dominant interference source, establishing a duty cycle adjustment step constraint condition based on the attenuation gradient of the interference intensity probability matrix within the window, and generating a dynamic adjustment information set; The duty cycle adjustment step constraint condition is iterated by using a feedback interference suppression algorithm, and the weight allocation factor of the dynamic adjustment information set is updated according to the deviation between the real-time interference suppression rate of the wavelength-angle combination and the target suppression constraint condition during the iteration process; The mapping relationship table is prioritized and reordered based on the weight allocation factor, and an optimized mapping relationship table is generated in combination with the elimination result of the dynamic adjustment information set to obtain an updated priority weight.

4. The method according to claim 1, characterized in that Parsing the timestamp of the ultraviolet light pulse sequence, performing path inversion in combination with the phase compensation factor, extracting the discrete identifier and generating a path code, and triggering an alarm signal and feeding it back to the ultraviolet channel reflection skeleton when the difference between adjacent units exceeds a critical condition to update the link weight, including: The timestamp of the ultraviolet light pulse sequence is decomposed by multi-scale wavelet transform, a multipath signal reconstruction model is constructed by combining the reverse path tracing algorithm and the phase compensation factor, and the hop weight and azimuth correlation characteristics of the discrete identifier are extracted by convolutional neural network to generate a path coding matrix; Analyzing the vector of the difference between adjacent units of the path coding matrix based on a dynamic sliding window mechanism, when the modulus of the vector exceeds a dynamic threshold jointly determined by a sliding mean of a time factor and an entropy value of a physical space, triggering an alarm signal instruction and feeding it back to the ultraviolet channel reflection skeleton; The link stability weight and path loss gradient distribution in the path coding matrix are integrated to construct a path inversion confidence assessment model, and the path loss gradient matrix of the ultraviolet channel reflection skeleton is corrected by an adaptive particle filtering algorithm; Orthogonal frequency division multiplexing technology is used to embed the hop count weight of the path coding matrix into the pulse position modulation gap of the ultraviolet light carrier, and the anti-interference weight is generated by combining the cyclic redundancy check code and the path fingerprint feature, and the link weight is updated through the physical space entropy value weighting mechanism.

5. The method according to claim 4, characterized in that The link stability weight and path loss gradient distribution in the path coding matrix are integrated to construct a path inversion confidence assessment model, and the path loss gradient matrix of the ultraviolet channel reflection skeleton is corrected by an adaptive particle filtering algorithm, including: Using a multi-dimensional feature space fusion engine to spatially align the link stability weights in the path coding matrix with the path loss gradient distribution, constructing a path inversion confidence assessment model including a dynamic weight factor, and reconstructing the path inversion confidence assessment model in a multi-dimensional feature space through a probability distribution fitting engine; A dynamic noise suppression model is used to fuse the reconstruction result of the path inversion confidence assessment model with the hop weight of the path coding matrix, a path loss gradient correction model is constructed, and the non-steady-state interference component in the path loss gradient matrix of the ultraviolet channel reflection skeleton is eliminated through an abnormal fluctuation detection mechanism; A nonlinear superposition engine is introduced to couple the output characteristics of the path inversion confidence assessment model with the link stability weight, generate a path loss gradient matrix carrying a feedback compensation coefficient and feed it back to the ultraviolet channel reflection skeleton; The path loss gradient matrix is ​​subjected to path fingerprint feature embedding processing based on an anti-interference coding protocol, and the path loss gradient matrix of the ultraviolet channel reflection skeleton is corrected by an adaptive particle filtering algorithm.

6. The method according to claim 1, characterized in that According to the multi-band transmission configuration result, a multi-reflection link is established between adjacent environmental sensor nodes, the discrete identifier is mapped to a reflection path, the multipath transmission delay is calibrated by a phase compensation factor, and an ultraviolet light pulse sequence carrying a path feature code is generated, including: According to the multi-band transmission configuration result, an improved dynamic pheromone ant colony path optimization algorithm is used to fuse the path loss gradient and the link stability evaluation model, and candidate reflection links that meet the path loss threshold, hop count constraint and link stability threshold are screened in the reflection path topology diagram to generate a set of multiple reflection links; The discrete identifier is converted into a binary sequence through a deep convolutional encoder of an attention mechanism, the binary sequence is embedded into the pulse position modulation interval of the ultraviolet light carrier by using orthogonal frequency division multiplexing technology, and a cyclic redundancy check code is introduced to enhance the anti-interference ability of the ultraviolet light carrier; Based on the ultraviolet light carrier, the phase compensation factor is dynamically analyzed using the multiple reflection link set, and an adaptive time slot segmentation algorithm is used for windowed compensation. Ultraviolet light pulses carrying path feature codes are superimposed according to the reflection level in the compensated time slot window to generate an ultraviolet light pulse sequence.

7. The method according to claim 1, characterized in that The environmental feature set is divided into a multidimensional feature segment set according to the timeliness factor and the physical space correlation, and a discrete identifier is assigned to the multidimensional feature segment set and embedded into a carrier frequency band index, including: A dynamic spatiotemporal grid partitioning engine is used to perform spatiotemporal correlation analysis on the environmental feature set, and a spatiotemporal correlation matrix including spatiotemporal attenuation weights is generated by combining the time factor attenuation model with the topological structure of the physical space correlation degree; The spatiotemporal association matrix is ​​divided into feature segments based on a multi-level clustering strategy, and the multi-dimensional feature segment set with spatiotemporal constraints is generated by dynamically fusing the spatiotemporal attenuation weight with the threshold of the physical space association degree; A dynamic hash tree structure is constructed to assign discrete identifiers to the multidimensional feature segment set, a frequency band feature matching module is used to couple the discrete identifiers with the output of the ultraviolet carrier frequency band generator for feature coding, and a frequency band dynamic allocation technology is introduced to embed the feature coding vector into the frequency band index sequence of the ultraviolet light carrier.

8. A method for processing environmental sensor data in old residential areas based on ultraviolet light communication, characterized in that: include: The acquisition module collects a set of environmental features through a distributed environmental sensor array on the facades of old residential buildings, and constructs a UV channel reflection skeleton based on reflectivity and obstacle coordinates. The reflectivity is dynamically corrected through UV band penetration testing; An allocation module, which divides the environmental feature set into a multidimensional feature segment set according to the timeliness factor and the physical space association degree, and allocates a discrete identifier to the multidimensional feature segment set and embeds a carrier frequency band index; An analysis module analyzes the channel interference estimation information in real time according to the interference intensity probability matrix of the ultraviolet channel reflection skeleton, and dynamically adjusts the combination of ultraviolet light modulation wavelength and scattering angle in combination with the iterative optimization mechanism of pulse duty cycle to generate a multi-band transmission configuration result; A mapping module, which establishes a multi-reflection link between adjacent environmental sensor nodes according to the multi-band transmission configuration result, maps the discrete identifier to a reflection path, calibrates the multipath transmission delay through a phase compensation factor, and generates an ultraviolet light pulse sequence carrying a path feature code; The update module parses the timestamp of the ultraviolet light pulse sequence, performs path inversion in combination with the phase compensation factor, extracts the discrete identifier and generates a path code, and triggers an alarm signal and feeds back to the ultraviolet channel reflection skeleton when the difference between adjacent units exceeds a critical condition to update the link weight.

9. A computing device, characterized in that It comprises a processing component and a storage component; the storage component stores one or more computer instructions; the one or more computer instructions are used to be called and executed by the processing component to implement an old community environmental sensor data processing method based on ultraviolet light communication as described in any one of claims 1 to 7.

10. A computer storage medium, characterized in that: A computer program is stored, and when the computer program is executed by a computer, an old community environmental sensor data processing method based on ultraviolet light communication as described in any one of claims 1 to 7 is implemented.

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