A method and system for detecting communication status

Abstract

This invention relates to the field of communication optimization technology and provides a method and system for detecting communication status. The method includes: determining the comprehensive factor affecting the current spatial deployment, obtaining the corresponding predicted signal attenuation based on the signal attenuation change trend, and correcting the priority enhancement benchmark value based on the difference between the predicted signal attenuation and the reference signal attenuation. This invention addresses the problem of inaccurate characterization of communication status under transparent medium state switching conditions, leading to unscientific priority adjustment, by proposing a method for detecting communication status. By introducing a comprehensive factor affecting spatial deployment, and comprehensively considering the superimposed influence of the transparent medium switching components and the deployment of designated objects in the target space, a signal attenuation change trend model is established, thereby achieving dynamic correction of the data transmission priority enhancement benchmark value.

Description

Technical Field

[0001] This invention belongs to the field of communication optimization technology, and in particular relates to a method and system for detecting communication status. Background Technology

[0002] In existing technologies, enterprise internal communication systems typically manage link scheduling under multi-task concurrency by setting data transmission priorities. Especially in high-concurrency scenarios (such as video conferencing and real-time collaborative synchronization), communication systems often judge the current communication status based on signal strength, task importance, or bandwidth load, and determine the priority of different communication events accordingly to ensure the stable transmission of critical services. However, in certain specific spatial environments, changes in communication status are not only affected by equipment performance and network structure, but also closely related to spatial structure and material properties. For example, electrochromic glass and light-controlled adjustable window films, which have been widely used in smart buildings in recent years, significantly alter the electromagnetic wave propagation characteristics of the space when changing between transparent and opaque states, causing changes in signal reflection, absorption, and attenuation, thus leading to fluctuations in communication status. Although existing technologies possess certain communication status detection or identification mechanisms, they mostly rely on single signal indicators or static thresholds for judgment, making it difficult to accurately reflect the comprehensive impact of spatial environment changes on communication status.

[0003] Furthermore, with the increasing intelligence of spaces, indoor environments within enterprises commonly contain devices with unique electromagnetic properties, such as metal-framed display cases, water-containing decorative devices, or holographic projection screens. When these designated objects interact with transparent medium switching components, they exert a superimposed attenuation effect on electromagnetic waves, making the communication status exhibit more complex characteristics depending on the spatial layout. However, current technologies for communication status detection often focus only on the switching of the transparent medium itself, neglecting the amplification and attenuation effect of the designated object's placement on the wireless propagation status. This leads to discrepancies between the detection results and the actual communication status, thus affecting the accuracy of subsequent communication management strategies.

[0004] Therefore, the main shortcomings of the existing technology are: its communication status detection method lacks the fusion analysis of multi-source spatial data, making it difficult to fully characterize the comprehensive impact of transparent medium switching and the deployment of designated objects on the communication status; at the same time, the judgment results of the communication status often fail to combine the existing communication priority settings and their reserved margins for dynamic analysis, and lack a status evolution modeling and correction mechanism based on historical data, resulting in limited support capabilities of the detection results for subsequent communication scheduling and management, and the overall level of intelligence needs to be improved. Summary of the Invention

[0005] The purpose of this invention is to provide a method and system for detecting communication status, aiming to solve the problems mentioned in the background art.

[0006] This invention is implemented as follows: a method for detecting communication status, the method comprising:

[0007] When a specified object is deployed within the target space, the decision database is retrieved, and the preset data transmission priority enhancement benchmark value is determined when the enterprise's internal communication gateway undergoes a transparent medium state switch.

[0008] Based on the decision database, several samples with the same transparent medium state switching and specified object placement, but different comprehensive factors affecting spatial placement, were selected.

[0009] Each sample is analyzed sequentially to determine whether the signal attenuation calculated based on wireless propagation shows a gradual increasing trend as the spatial deployment of the comprehensive factor increases, and to determine the trend of signal attenuation change.

[0010] If the trend is gradually increasing, then select the sample that best matches the priority increase benchmark value from several samples as the reference sample, and use its corresponding signal attenuation degree as the reference signal attenuation degree.

[0011] The comprehensive factors affecting the current spatial deployment are determined, and the corresponding predicted signal attenuation is obtained based on the trend of signal attenuation change. Based on the difference between the predicted signal attenuation and the reference signal attenuation, the priority improvement benchmark value is corrected.

[0012] As a further limitation of the technical solution of the present invention, the target space is an indoor area equipped with a transparent medium switching component. The transparent medium switching component is an electrochromic glass material that can switch between a transparent state and an opaque state. When switching between the two states, its dielectric constant and electromagnetic wave transmission characteristics change, thereby causing a change in the attenuation amplitude of the wireless signal.

[0013] As a further limitation of the technical solution of this embodiment of the invention, the transparent medium switching component accounts for more than a preset proportion in the enclosure structure of the target space.

[0014] As a further limitation of the technical solution of this embodiment of the invention, the decision database includes a three-dimensional layout dataset of the target space and historical operation data of the enterprise's internal communication gateway.

[0015] As a further limitation of the technical solution of the present invention, the specified object deployment situation refers to the identification of spatial objects based on the three-dimensional layout dataset of the target space, and the determination that a specified object with an amplification and attenuation effect on wireless propagation is deployed near the enclosure structure of the target space; the specified object includes a transparent display device with a metal frame, a display device containing water, a holographic projection screen, or other indoor placement objects with electromagnetic wave shielding and reflection characteristics.

[0016] As a further limitation of the technical solution of the embodiment of the present invention, the calculation of the spatial layout influence factor includes: based on the recognition result of spatial object recognition, obtaining the spatial distance, occlusion area ratio and relative orientation angle between the specified object and the transparent medium switching component, and taking at least one of them or a weighted combination thereof as the spatial layout influence factor.

[0017] As a further limitation of the technical solution of this embodiment of the invention, if the trend is gradually increasing, the step of selecting the sample that best matches the priority increase benchmark value from a number of samples as a reference sample, and using its corresponding signal attenuation degree as the reference signal attenuation degree includes:

[0018] Given that the signal attenuation increases progressively with the increase of the comprehensive factor affecting the spatial layout, the communication performance evaluation index corresponding to each sample is determined based on the communication performance feedback results when the enterprise internal communication gateway executes the priority increase benchmark value after the transparent medium state switch occurs in each sample.

[0019] The sample whose communication performance evaluation index is closest to the requirements of the target communication scenario is selected from a number of samples as the reference sample, that is, the priority improvement benchmark value achieves the best fit in the reference sample.

[0020] The signal attenuation corresponding to the reference sample is used as the reference signal attenuation.

[0021] As a further limitation of the technical solution of this invention, the steps of determining the comprehensive factor affecting the current spatial deployment, obtaining the corresponding predicted signal attenuation based on the trend of signal attenuation change, and correcting the priority improvement benchmark value based on the difference between the predicted signal attenuation and the reference signal attenuation include:

[0022] Based on the three-dimensional layout dataset, the current spatial layout influence factor of the target space is determined, and the current spatial layout influence factor is substituted into the signal attenuation change trend to obtain the corresponding predicted signal attenuation.

[0023] The preset priority correction formula is invoked, and the preset priority boosting benchmark value is corrected based on the deviation of the predicted signal attenuation from the reference signal attenuation, so as to obtain the corrected priority boosting benchmark value.

[0024] The revised priority boosting baseline value is applied to the communication resource scheduling strategy executed by the enterprise's internal communication gateway when dealing with the state switching of the transparent medium in the target space, so as to achieve optimized data transmission processing in the target space.

[0025] As a further limitation of the technical solution of this embodiment of the invention, the preset priority correction formula is as follows:

[0026] ;

[0027] in, This refers to the revised priority increase baseline value. This refers to the preset priority boosting baseline value. This refers to the predicted signal attenuation. This refers to the attenuation of the reference signal. This refers to the deviation of the predicted signal attenuation from the reference signal attenuation. This refers to a preset correction strength coefficient, and satisfies... , This refers to the maximum allowable priority increase baseline value. This refers to the minimum guaranteed priority increase benchmark value.

[0028] As a further limitation of the technical solution of the present invention, in the process of screening out several samples with the same transparent medium state switching and specified object layout, but different spatial layout influence factors, it should be ensured that different samples are configured with consistent data transmission strategy by the enterprise internal communication gateway after the transparent medium state switching occurs, so as to ensure that the communication performance feedback between different samples is comparable.

[0029] A communication status detection system, the system comprising:

[0030] The state triggering and benchmark determination module is used to obtain the decision database and determine the preset data transmission priority enhancement benchmark value of the enterprise internal communication gateway when a specified object is deployed inside the target space.

[0031] The sample screening module is used to screen out several samples with the same transparent medium state switching and specified object layout, but different comprehensive factors affecting spatial layout, based on the decision database.

[0032] The attenuation trend detection module is used to sequentially analyze each sample, analyze whether the signal attenuation obtained from wireless propagation calculation shows a gradual increasing trend as the comprehensive factor of spatial deployment increases, and determine the trend of signal attenuation change.

[0033] The reference state determination module is used to select the sample that best matches the priority increase benchmark value from a number of samples if the trend is increasing step by step, and use the corresponding signal attenuation degree as the reference signal attenuation degree.

[0034] The state deviation analysis and correction module is used to determine the comprehensive factors affecting the current spatial deployment, obtain the corresponding predicted signal attenuation based on the signal attenuation change trend, and correct the priority improvement benchmark value based on the difference between the predicted signal attenuation and the reference signal attenuation.

[0035] Compared with the prior art, the present invention has the following beneficial effects:

[0036] This invention addresses the problem of inaccurate characterization of communication status under transparent medium state switching conditions, which leads to unscientific priority adjustment. It proposes a method for detecting communication status. By introducing a comprehensive factor influencing spatial deployment, and considering the combined effects of the transparent medium switching components and the deployment of designated objects in the target space, a signal attenuation trend model is established. This model is then used to dynamically correct the baseline value for increasing data transmission priority.

[0037] Furthermore, this invention incorporates a fixed margin into the correction process, meaning that fine-tuning is performed within the original priority setting margin range. This ensures that the priority adjustment range better aligns with the electromagnetic propagation laws in actual space, avoiding resource waste or transmission instability caused by improper margin settings. This method enables adaptive and stable optimization of communication links under dynamically changing spatial environments and object distributions, significantly improving the rationality of resource scheduling and intelligent response level of enterprise internal communication systems in complex spatial scenarios. Attached Figure Description

[0038] Figure 1 A flowchart of the method provided in the embodiments of the present invention;

[0039] Figure 2 A flowchart illustrating the selection of a reference sample in the method provided in this embodiment of the invention;

[0040] Figure 3 This is a flowchart illustrating the correction of a preset priority benchmark value in a method provided by an embodiment of the present invention.

[0041] Figure 4 The application architecture diagram of the system provided in the embodiments of the present invention. Detailed Implementation

[0042] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0043] Figure 1 A flowchart of the method provided by an embodiment of the present invention is shown.

[0044] Specifically, a method for detecting communication status includes the following steps:

[0045] Step S100: When a specified object is deployed inside the target space, the decision database is obtained, and the preset data transmission priority enhancement benchmark value is determined when the enterprise's internal communication gateway undergoes a transparent medium state switch.

[0046] The target space is an indoor area equipped with a transparent dielectric switching component. This component is made of electrochromic glass material capable of switching between transparent and opaque states. When switching between the two states, its dielectric constant and electromagnetic wave transmission characteristics change, thereby altering the attenuation of the wireless signal. The transparent dielectric switching component occupies more than a predetermined proportion of the enclosure structure of the target space.

[0047] The decision database includes a three-dimensional layout dataset of the target space and historical operational data of the enterprise's internal communication gateway.

[0048] The specified object placement refers to identifying spatial objects based on a three-dimensional layout dataset of the target space, and determining that specified objects with amplification and attenuation effects on wireless propagation are placed near the enclosure structure of the target space; the specified objects include transparent display equipment with a metal frame, display devices containing water, holographic projection screens, or other indoor installations with electromagnetic wave shielding and reflection properties.

[0049] In this embodiment of the invention, the target space can be a designated indoor area within an enterprise where the quality of communication services needs to be guaranteed, such as a conference room, management control room, or important visitor reception area. Such areas typically have a transparent dielectric switching component for adjusting visible light transmittance. In practical configurations, the transparent dielectric switching component often uses electrochromic glass, which can switch between a transparent state and an opaque state. In the transparent state, the electromagnetic wave transmission path is relatively smooth; while in the opaque state, due to the increase in its dielectric constant and the change in the electromagnetic wave attenuation coefficient, the wireless signal transmission performance decreases. Since electrochromic glass is often installed as part of the building envelope on the exterior facade, when its proportion in the building envelope exceeds a preset ratio, its state switching has a more significant impact on indoor wireless signals.

[0050] Because this invention focuses on the wireless signal propagation performance between an enterprise's internal communication gateway and a mobile terminal within a target space, the wireless signal attenuation amplitude characterizes the signal strength decrease when a communication terminal in the target space accesses the enterprise's internal communication gateway. To reduce the impact of handover on communication, the enterprise's internal communication gateway typically needs to adjust data transmission to the target space in advance. This invention, by setting a preset proportion of transparent medium handover components, ensures that the corresponding priority scheduling strategy is activated only when the component has a significant impact on the wireless signal and its state change is sufficient to cause a decline in communication service performance, thereby avoiding false triggering and resource waste.

[0051] The attenuation of wireless signals can be obtained by combining existing wireless propagation measurement models (such as path loss models or ray tracing algorithms) with the real-time signal strength acquisition results of the enterprise's internal communication gateway. This is a mature and directly applicable existing technology.

[0052] Enterprise internal communication gateways are used for wireless communication management in enterprise private network environments, including functions such as access control, bandwidth scheduling, link encryption, and priority allocation. When the wireless communication performance of a target area degrades, the communication gateway can allocate more communication resources to that area through priority policies to ensure its service continuity and reliability.

[0053] The decision database is constructed from a 3D layout dataset of the target space and historical operational data from the enterprise's internal communication gateway. The 3D layout dataset provides data on the spatial location, size modeling, and enclosure structure arrangement of specified objects within the target space, which can be acquired through image acquisition devices deployed within the target space. The historical operational data includes wireless signal strength, latency, packet loss rate, link quality, device load data, and communication performance feedback during different state transitions, used to further establish the correspondence between signal attenuation and spatial layout.

[0054] The "designated object deployment scenario" refers to the presence of a designated object near the building envelope that amplifies and attenuates wireless propagation. Designated objects include transparent display equipment with a metal frame, display devices containing water, holographic projection screens, or other indoor installations with electromagnetic wave shielding and reflection properties. These designated objects have limited impact on wireless signals when the transparent medium remains unchanged. However, once the transparent medium switches to an opaque state, the change in its dielectric constant, combined with the shielding / reflection effect of the designated object, results in a greater signal attenuation within the target space, thus amplifying the impact on wireless propagation.

[0055] The core research point of this invention lies in the following: In existing technologies, for important target spaces within an enterprise, in order to ensure normal communication services even when channel quality degrades due to transparent medium state switching, a priority boosting benchmark value is typically configured on the communication gateway side. This is used to pre-schedule more communication resources for the target space during the switching state and to provide a larger configuration margin to cover potential signal attenuation. However, in existing technologies, this priority boosting benchmark value is often fixed after being set or has a long update cycle. It only processes the signal based on the single triggering factor of transparent medium state switching, without considering the superimposed amplification effect on signal propagation caused by the simultaneous occurrence of transparent medium switching and the deployment of designated objects.

[0056] Therefore, when a designated object is identified within the target space, causing signal attenuation to exceed a preset margin, continuing to use a fixed priority boosting benchmark may compromise data transmission stability. Existing technologies do not further adjust the priority boosting benchmark based on this amplification effect, nor do they effectively utilize the intended margin. This invention addresses these technical problems by dynamically correcting the signal attenuation impact after a transparent medium state switch based on the designated object's placement, making priority control more targeted and precise.

[0057] Furthermore, the communication status detection method also includes the following steps:

[0058] Step S200: Based on the decision database, select several samples that have the same transparent medium state switching and specified object placement, but have different comprehensive factors affecting spatial placement.

[0059] In the process of screening several samples with the same transparent medium state switching and specified object placement, but different spatial placement influence factors, it should be ensured that different samples are configured with consistent data transmission strategies by the enterprise's internal communication gateway after the transparent medium state switching occurs, so as to ensure that the communication performance feedback between different samples is comparable.

[0060] The calculation of the spatial layout influence factor includes: based on the recognition results of spatial object recognition, obtaining the spatial distance, occlusion area ratio and relative orientation angle between the specified object and the transparent medium switching component, and taking at least one of them or a weighted combination thereof as the spatial layout influence factor.

[0061] In this embodiment of the invention, the sample "having the same transparent medium state switching and designated object deployment" refers to samples where the same transparent medium switching component is in the same switching state (e.g., switching from a transparent state to an opaque state), and the type, quantity, and deployment area of ​​the designated objects in the target space are basically the same, differing only in the value of the comprehensive factor affecting spatial deployment. In other words, these samples have the same basic environmental factors, differing only in specific characteristics such as spatial geometric relationships and relative object positions, so as to analyze the specific impact of spatial deployment on wireless propagation characteristics.

[0062] The calculation of the comprehensive factor influencing spatial layout is based on the recognition results of spatial object identification. It obtains geometric parameters such as the spatial distance, occlusion area ratio, and relative orientation angle between the specified object and the transparent medium switching component, and uses at least one of these parameters, or a weighted combination thereof, as the comprehensive factor influencing spatial layout. This calculation process can be achieved using mature 3D spatial modeling and parameter extraction technologies, such as point cloud reconstruction, depth image recognition, or spatial distance algorithms based on BIM (Building Information Modeling) data. These methods are all existing mature spatial feature extraction technologies; therefore, this invention does not require additional hardware support in this part and can be directly completed using the enterprise's existing spatial modeling and perception system.

[0063] During sample screening, it is required that all samples, after switching to a transparent medium state, be configured with a consistent data transmission strategy by the enterprise's internal communication gateway. This data transmission strategy configuration refers to the comprehensive strategies employed by the communication gateway in a specific state, including bandwidth allocation, link scheduling, channel selection, and priority control. Maintaining consistency ensures that the communication performance feedback results between different samples reflect only the impact of spatial deployment differences, without being affected by strategy differences, thus guaranteeing the comparability of samples and the reliability of pattern extraction.

[0064] The samples obtained through the above screening process can demonstrate differences in signal attenuation caused by varying comprehensive factors influencing spatial arrangement, under the same conditions of transparent medium switching and specified object placement. This sample set provides data support for subsequent signal attenuation trend modeling, enabling the system to accurately identify the modulation effect of spatial geometric features on the degree of signal attenuation, and providing a basis for dynamically adjusting the priority improvement benchmark value.

[0065] Furthermore, the communication status detection method also includes the following steps:

[0066] Step S300: Analyze each sample in sequence, analyze the increase of the comprehensive factor affecting spatial deployment, determine whether the signal attenuation obtained based on wireless propagation measurement shows a gradual increasing trend, and determine the trend of signal attenuation change.

[0067] In step S400, if the trend is gradually increasing, select the sample that best matches the priority increase benchmark value from several samples as the reference sample, and use its corresponding signal attenuation degree as the reference signal attenuation degree.

[0068] Specifically, Figure 2 A flowchart for selecting a reference sample is shown.

[0069] If the trend is one of gradual increase, then the sample that best matches the priority increase benchmark value is selected from several samples as the reference sample, and its corresponding signal attenuation is used as the reference signal attenuation. Specifically, this includes the following steps:

[0070] Step S401: When the signal attenuation increases progressively with the increase of the comprehensive factor affecting the spatial layout, the communication performance evaluation index corresponding to each sample is determined based on the communication performance feedback result when the enterprise internal communication gateway executes the priority increase benchmark value after the transparent medium state switch occurs in each sample.

[0071] Step S402: Select the sample whose communication performance evaluation index is closest to the target communication scenario requirements from a number of samples as a reference sample, that is, the priority improvement benchmark value achieves the best fit in the reference sample.

[0072] Step S403: Use the signal attenuation degree corresponding to the reference sample as the reference signal attenuation degree.

[0073] In this embodiment of the invention, by statistically analyzing the wireless propagation data of each sample, the correlation between the spatial deployment influence factor and signal attenuation can be used to determine whether the change has a monotonic trend. When the signal attenuation increases progressively with the increase of the spatial deployment influence factor, it indicates that the geometric features of the target space and the object layout have a cumulative impact on the wireless propagation path. At this time, the system can establish a signal attenuation change trend model based on the sample data to characterize the propagation attenuation law under different spatial configurations.

[0074] This pattern recognition is of great significance: it enables the system to learn the correspondence between spatial layout characteristics and signal attenuation in a data-driven manner, thereby providing a quantifiable basis for subsequent priority correction stages and realizing the transformation from experience-based configuration to adaptive optimization.

[0075] In determining communication performance evaluation indicators based on communication performance feedback results, the enterprise's internal communication gateway collects and records key parameters such as signal strength, bandwidth usage, data throughput, latency, and packet loss rate in real time, forming communication performance feedback data. The system can use weighted algorithms or fuzzy comprehensive evaluation methods to convert these multi-dimensional parameters into a single communication performance evaluation indicator to quantify the quality of communication under the current configuration. This performance evaluation method is widely used in wireless communication quality management systems, is a mature existing technology, and can be directly embedded into the enterprise gateway's operation monitoring module.

[0076] When selecting samples whose communication performance evaluation metrics are closest to the requirements of the target communication scenario, the system first determines the corresponding set of communication quality requirement thresholds based on the specific application type of the target space (e.g., remote conferencing, high-definition video transmission, cloud data synchronization, industrial monitoring, etc.). These requirement thresholds include, but are not limited to, key parameters such as data transmission rate, latency tolerance, packet loss rate, bit error rate, and signal stability index, and form a comprehensive performance requirement curve for the target communication scenario.

[0077] Subsequently, the system extracts communication performance evaluation indicators (such as average transmission rate, average instantaneous signal attenuation, and latency jitter) from several samples, and compares these indicators with the aforementioned communication quality requirement thresholds item by item, calculating the relative deviation between the two. When the overall performance indicators of a sample fall within the preset data transmission priority enhancement benchmark value and its corresponding margin range of the enterprise's internal communication gateway, and the difference between the sample and the target communication scenario requirements is minimal (i.e., the deviation is minimal) in multiple key indicators, the system determines this sample as a reference sample. At this time, the reference sample not only reflects the rationality of priority setting under the conditions of transparent medium state switching and designated object deployment, but also ensures the stability of the system's communication performance under the reserved margin conditions.

[0078] By selecting this sample as a reference sample, the signal attenuation level that best matches the preset priority enhancement benchmark value under the current transparent medium state switching and specified object deployment conditions can be determined, and its corresponding signal attenuation degree is set as the reference signal attenuation degree. The reference signal attenuation degree not only reflects the ideal propagation state under the given priority configuration, but also serves as a benchmark reference point for subsequent correction processes, enabling the system to achieve consistent evaluation and dynamic optimization based on physical laws under different spatial deployment conditions.

[0079] Furthermore, the communication status detection method also includes the following steps:

[0080] Step S500: Determine the comprehensive factor affecting the current spatial deployment, obtain the corresponding predicted signal attenuation based on the trend of signal attenuation change, and adjust the priority improvement benchmark value based on the difference between the predicted signal attenuation and the reference signal attenuation.

[0081] Specifically, Figure 3 A flowchart is shown for correcting a preset priority baseline value.

[0082] The process of determining the comprehensive factors influencing the current spatial deployment, obtaining the corresponding predicted signal attenuation based on the trend of signal attenuation change, and adjusting the priority enhancement benchmark value based on the difference between the predicted signal attenuation and the reference signal attenuation includes the following steps:

[0083] Step S501: Determine the comprehensive factor of the current spatial layout influence of the target space based on the three-dimensional layout dataset, and substitute the comprehensive factor of the current spatial layout influence into the signal attenuation change trend to obtain the corresponding predicted signal attenuation.

[0084] Step S502: Call the preset priority correction formula, and based on the deviation of the predicted signal attenuation from the reference signal attenuation, correct the preset priority boosting benchmark value to obtain the corrected priority boosting benchmark value.

[0085] Step S503: The corrected priority enhancement benchmark value is applied to the communication resource scheduling strategy executed by the enterprise internal communication gateway when dealing with the state switching of the transparent medium in the target space, so as to achieve optimized data transmission processing in the target space.

[0086] The preset priority correction formula is:

[0087] ;

[0088] in, This refers to the revised priority increase baseline value. This refers to the preset priority boosting baseline value. This refers to the predicted signal attenuation. This refers to the attenuation of the reference signal. This refers to the deviation of the predicted signal attenuation from the reference signal attenuation. This refers to a preset correction strength coefficient, and satisfies... , This refers to the maximum allowable priority increase baseline value. This refers to the minimum guaranteed priority increase benchmark value. The priority correction formula first truncates the original correction result to the maximum allowable value, and then raises the minimum guaranteed value, so that the corrected priority increase benchmark value is always limited to a preset range.

[0089] In this embodiment of the invention, after determining the comprehensive factor influencing the current spatial deployment, the corresponding predicted signal attenuation can be obtained by substituting it into the established trend of signal attenuation change. This prediction process has significant scientific merit and practicality: since a fitting trend model of the signal attenuation changing with the comprehensive factor influencing the spatial deployment has been established based on a large number of samples in the aforementioned S300 step, this model can be regarded as an approximately linear mapping relationship of signal attenuation under different spatial configuration conditions. Once the real-time layout characteristics of the target space are determined, the system can directly predict its signal attenuation without relying on additional measurements, achieving rapid response. This trend-based prediction method not only reduces the delay of the communication system when switching between transparent media states, but also provides data-driven theoretical support for subsequent dynamic priority correction.

[0090] The formula provided in this step is an intuitive and effective linear correction model that enables bidirectional dynamic adjustment of priority. When the current signal attenuation is greater than the reference signal attenuation, i.e., the predicted attenuation is large, the system will automatically increase the priority; conversely, when the current signal attenuation is less than the reference signal attenuation, the system will automatically decrease the priority, thereby achieving a balance between communication quality and resource utilization.

[0091] The rationale behind this "deviation-based" correction method stems from the fact that the deployment of the specified object corresponding to the reference signal attenuation already meets the preset priority enhancement benchmark value and its included margin range. Therefore, correction based on this ensures that the adjustment value remains within a reasonable range, neither over-enhancing and wasting resources nor failing to maintain stable communication. Simultaneously, this correction process is linked to the attenuation trend model established in step S300. Because the signal attenuation exhibits a linear relationship with the comprehensive factor influencing spatial deployment, the system can employ a linear correction method based on deviation amplitude, thus ensuring a simple calculation process, fast response speed, and stable correction effect.

[0092] It should be noted that after completing the priority correction based on the deviation between the predicted signal attenuation and the reference signal attenuation, the resulting corrected priority boost benchmark value has taken into account the communication margin factor. Therefore, there is no need to add additional margin to avoid excessive resource allocation or response lag.

[0093] The revised priority enhancement benchmark will be applied to the enterprise's internal communication gateway, and communication resource scheduling strategies will be dynamically adjusted accordingly. For example, when transparent medium switching causes increased attenuation of the wireless propagation path, the communication gateway can temporarily increase the priority of relevant channels or increase bandwidth allocation to ensure priority transmission of critical business data. When the signal attenuation recovers to below the reference signal attenuation level, the system will automatically reclaim the over-allocated resources, optimize resource utilization, and ensure efficient system operation.

[0094] In addition to the linear correction formula mentioned above, the system can also employ other correction functions as needed, such as exponentially weighted correction or piecewise saturation correction. Exponentially weighted correction adjusts the deviation according to an exponential relationship, while piecewise saturation correction stops increasing the correction magnitude once the deviation exceeds a set threshold. These alternatives can further enhance adaptability and robustness for different types of signal attenuation characteristics.

[0095] For example, in a conference room scenario, transparent electrochromic glass accounts for 60% of the space. The signal attenuation is approximately 3 dB in the transparent state, but increases to 6 dB in the opaque state. In this case, the initial priority boosting baseline for the enterprise's internal communication gateway is set to 1.00 with a margin of +0.1. Analysis yields a spatial layout impact factor of 0.72, a predicted signal attenuation of 7.5 dB, a reference signal attenuation of 6.0 dB, and a correction strength coefficient of 0.5. According to the formula, the corrected priority boosting baseline is 1.125, meaning the system will increase the priority boosting baseline by 12.5% ​​(without applying any additional margin). When the transparent medium returns to its transparent state, the system will automatically revert to the original baseline level, thus completing the automatic adjustment of the data transmission process.

[0096] This invention achieves intelligent and stable control of communication performance by dynamically correcting the priority enhancement configuration of the enterprise's internal communication gateway under signal fluctuation conditions caused by the switching of transparent media states. This technical solution not only effectively solves the problem of existing technologies being unable to adapt to changes in transparent media, but also achieves multi-dimensional decision optimization through the fusion of spatial layout data and multi-source signal characteristics. It is particularly suitable for high-requirement environments such as office spaces, exhibition halls, and laboratories equipped with smart glass, holographic display devices, or other variable transparent components, and has broad application prospects.

[0097] Furthermore, Figure 4 An application architecture diagram of the system provided in an embodiment of the present invention is shown.

[0098] In another preferred embodiment of the present invention, a communication status detection system is provided, the system comprising:

[0099] The state triggering and benchmark determination module 100 is used to obtain the decision database and determine the preset data transmission priority enhancement benchmark value of the enterprise internal communication gateway when a specified object is deployed inside the target space.

[0100] The sample screening module 200 is used to screen out several samples with the same transparent medium state switching and specified object layout, but different comprehensive factors affecting spatial layout, based on the decision database.

[0101] The attenuation trend detection module 300 is used to sequentially analyze each sample, analyze whether the signal attenuation obtained based on wireless propagation measurement shows a gradual increasing trend as the comprehensive factor of spatial deployment increases, and determine the trend of signal attenuation change.

[0102] The reference state determination module 400 is used to select the sample that best matches the priority increase benchmark value from a number of samples if the trend is increasing step by step, and use the corresponding signal attenuation degree as the reference signal attenuation degree.

[0103] The State Deviation Analysis and Correction Module 500 is used to determine the comprehensive factors affecting the current spatial deployment, obtain the corresponding predicted signal attenuation based on the signal attenuation change trend, and correct the priority improvement benchmark value based on the difference between the predicted signal attenuation and the reference signal attenuation.

[0104] It should be understood that although the steps in the flowcharts of the various embodiments of the present invention are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the various embodiments may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least a portion of the sub-steps or stages of other steps.

[0105] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0106] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0107] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

[0108] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for detecting communication status, characterized in that, The method includes: When a specified object is deployed within the target space, a decision database is acquired, and a preset data transmission priority enhancement benchmark value is determined for the enterprise's internal communication gateway when a transparent medium state switch occurs; the decision database includes a three-dimensional layout dataset of the target space and historical operating data of the enterprise's internal communication gateway; The specified object deployment scenario refers to identifying spatial objects based on the three-dimensional layout dataset of the target space, and determining that specified objects with amplification and attenuation effects on wireless propagation are deployed near the enclosure structure of the target space. The target space is an indoor area equipped with a transparent medium switching component. The transparent medium switching component is an electrochromic glass material that can switch between a transparent state and an opaque state. When switching between the two states, its dielectric constant and electromagnetic wave transmission characteristics change, thereby causing a change in the attenuation amplitude of the wireless signal. Based on the decision database, several samples with the same transparent medium state switching and specified object placement, but different comprehensive factors affecting spatial placement, were selected. The calculation of the spatial layout influence factor includes: based on the recognition results of spatial object recognition, obtaining the spatial distance, occlusion area ratio and relative orientation angle between the specified object and the transparent medium switching component, and taking at least one of them or a weighted combination thereof as the spatial layout influence factor; Each sample is analyzed sequentially to determine whether the signal attenuation calculated based on wireless propagation shows a gradual increasing trend as the spatial deployment of the comprehensive factor increases, and to determine the trend of signal attenuation change. If the trend is gradually increasing, then select the sample that best matches the priority increase benchmark value from several samples as the reference sample, and use its corresponding signal attenuation degree as the reference signal attenuation degree. The comprehensive factors affecting the current spatial deployment are determined, and the corresponding predicted signal attenuation is obtained based on the trend of signal attenuation change. Based on the difference between the predicted signal attenuation and the reference signal attenuation, the priority improvement benchmark value is corrected.

2. The communication status detection method according to claim 1, characterized in that, The transparent medium switching component accounts for more than a preset proportion in the enclosure structure of the target space.

3. The communication status detection method according to claim 1, characterized in that, The specified objects include transparent display equipment with a metal frame, display devices containing water, holographic projection screens, or other indoor installations with electromagnetic wave shielding and reflection properties.

4. The communication status detection method according to claim 1, characterized in that, If the trend is one of gradual increase, the steps of selecting the sample that best matches the priority increase benchmark value from several samples as the reference sample, and using its corresponding signal attenuation as the reference signal attenuation, include: Given that the signal attenuation increases progressively with the increase of the comprehensive factor affecting the spatial layout, the communication performance evaluation index corresponding to each sample is determined based on the communication performance feedback results when the enterprise internal communication gateway executes the priority increase benchmark value after the transparent medium state switch occurs in each sample. The sample whose communication performance evaluation index is closest to the requirements of the target communication scenario is selected from a number of samples as the reference sample, that is, the priority improvement benchmark value achieves the best fit in the reference sample. The signal attenuation corresponding to the reference sample is used as the reference signal attenuation.

5. The communication status detection method according to claim 1, characterized in that, The steps for determining the comprehensive factors influencing the current spatial deployment, obtaining the corresponding predicted signal attenuation based on the trend of signal attenuation change, and adjusting the priority enhancement benchmark value based on the difference between the predicted signal attenuation and the reference signal attenuation include: Based on the three-dimensional layout dataset, the current spatial layout influence factor of the target space is determined, and the current spatial layout influence factor is substituted into the signal attenuation change trend to obtain the corresponding predicted signal attenuation. The preset priority correction formula is invoked, and the preset priority boosting benchmark value is corrected based on the deviation of the predicted signal attenuation from the reference signal attenuation, so as to obtain the corrected priority boosting benchmark value. The revised priority boosting baseline value is applied to the communication resource scheduling strategy executed by the enterprise's internal communication gateway when dealing with the state switching of the transparent medium in the target space, so as to achieve optimized data transmission processing in the target space.

6. The communication status detection method according to claim 5, characterized in that, The preset priority correction formula is: ； in, This refers to the revised priority increase baseline value. This refers to the preset priority boosting baseline value. This refers to the predicted signal attenuation. This refers to the attenuation of the reference signal. This refers to the deviation of the predicted signal attenuation from the reference signal attenuation. This refers to a preset correction strength coefficient, and satisfies... , This refers to the maximum allowable priority increase baseline value. This refers to the minimum guaranteed priority increase benchmark value.

7. A communication status detection system, characterized in that, The system includes: The state triggering and benchmark determination module is used to acquire a decision database and determine the preset data transmission priority enhancement benchmark value of the enterprise internal communication gateway when a specified object is deployed inside the target space. The decision database includes a three-dimensional layout dataset of the target space and historical operation data of the enterprise internal communication gateway. The specified object deployment scenario refers to identifying spatial objects based on the three-dimensional layout dataset of the target space, and determining that specified objects with amplification and attenuation effects on wireless propagation are deployed near the enclosure structure of the target space. The target space is an indoor area equipped with a transparent medium switching component. The transparent medium switching component is an electrochromic glass material that can switch between a transparent state and an opaque state. When switching between the two states, its dielectric constant and electromagnetic wave transmission characteristics change, thereby causing a change in the attenuation amplitude of the wireless signal. The sample screening module is used to screen out several samples with the same transparent medium state switching and specified object layout, but different comprehensive factors affecting spatial layout, based on the decision database. The calculation of the spatial layout influence factor includes: based on the recognition results of spatial object recognition, obtaining the spatial distance, occlusion area ratio and relative orientation angle between the specified object and the transparent medium switching component, and taking at least one of them or a weighted combination thereof as the spatial layout influence factor; The attenuation trend detection module is used to sequentially analyze each sample, analyze whether the signal attenuation obtained from wireless propagation calculation shows a gradual increasing trend as the comprehensive factor of spatial deployment increases, and determine the trend of signal attenuation change. The reference state determination module is used to select the sample that best matches the priority increase benchmark value from a number of samples if the trend is increasing step by step, and use the corresponding signal attenuation degree as the reference signal attenuation degree. The state deviation analysis and correction module is used to determine the comprehensive factors affecting the current spatial deployment, obtain the corresponding predicted signal attenuation based on the signal attenuation change trend, and correct the priority improvement benchmark value based on the difference between the predicted signal attenuation and the reference signal attenuation.

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