Intelligent building-oriented bistable distributed regional cooperative control method and system

Abstract

The invention discloses a bistable distributed regional cooperative control method and system for an intelligent building, and relates to the technical field of intelligent buildings. The system collects electromagnetic environment data in the building in real time through an electromagnetic sensing device and a sensor group, and constructs an electromagnetic characteristic data group; calculating an electromagnetic interference coordination index EMI and an electromagnetic interference area diffusion index EDC to evaluate an electromagnetic interference degree and a propagation risk, further calculating an area interference coordination control index REC, performing electromagnetic interference optimization analysis with a preset area electromagnetic interference optimization threshold value Z, and if interference control does not reach the standard, executing an area optimization strategy; and calculating a regional electromagnetic cooperative control index REM if the regional electromagnetic cooperative control index REM is qualified, performing regional electromagnetic cooperative analysis on the regional electromagnetic cooperative control index REM and a preset regional comprehensive electromagnetic cooperative compatible threshold A, and calculating a regional electromagnetic field fine optimization index EMF based on a perturbation perception control model if the regional electromagnetic cooperative control index REM still does not reach the standard, and performing more accurate optimization adjustment to ensure that the electromagnetic environment is stable.

Description

Technical Field

[0001] The present invention relates to the field of intelligent building technology, and in particular to a bistable distributed regional collaborative control method and system for intelligent buildings. Background Art

[0002] With the rapid development of intelligent buildings, the number of electronic devices and systems within buildings continues to increase, significantly increasing their functional integration and complexity. Electromagnetic interference generated during equipment operation is becoming increasingly serious, affecting the normal operation of electronic equipment within the building and, in severe cases, even causing failure or damage to critical equipment. To address this issue, the concept of bistable distributed regional collaborative control has been proposed. Through intelligent, refined, and regionalized approaches, this concept achieves dynamic perception and interference control of the electromagnetic environment within the building, effectively avoiding and reducing electromagnetic compatibility issues between electronic devices and ensuring the overall stable and reliable operation of intelligent buildings.

[0003] Electromagnetic interference from electronic equipment is a common problem in traditional smart building environmental management, and control methods are often simple and crude, lacking refined regional coordinated control strategies. This traditional control approach struggles to accurately measure the interference propagation path, interference intensity, and potential impact on the performance of adjacent equipment. This results in incomplete interference control, poor interoperability, and the potential for control blind spots. In particular, it is difficult to detect hidden dangers such as electromagnetic spectrum drift, harmonic distortion, and transient interference. Furthermore, due to the lack of dynamic analysis and real-time feedback mechanisms, existing solutions are unable to respond promptly and effectively to abnormal interference events, often leading to gradual degradation of equipment performance and even failure. Summary of the Invention

[0004] In response to the deficiencies in the prior art, the present invention provides a bistable distributed regional collaborative control method and system for intelligent buildings, which solves the problems in the above-mentioned background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a bistable distributed regional collaborative control system for intelligent buildings, including a data perception module, a regional electromagnetic analysis module, an interference control analysis module, a regional collaborative analysis module and an electromagnetic field optimization module; The data sensing module is used to collect electromagnetic environment data of each area in real time based on the electromagnetic sensing equipment and sensor groups installed in the intelligent building, and build an electromagnetic analysis platform for processing, obtain electromagnetic feature data groups, and store them in the data repository; The regional electromagnetic analysis module is used to perform a preliminary analysis of the electromagnetic feature data set based on the electromagnetic analysis platform on the degree of regional electromagnetic interference and the degree of electromagnetic interference propagation and diffusion; The interference control analysis module performs comprehensive calculations based on the preliminary analysis results to obtain the regional interference collaborative control index REC, and then performs electromagnetic interference optimization analysis with the preset regional electromagnetic interference optimization threshold Z; The regional coordination analysis module is used to calculate the regional electromagnetic coordination control index REM when the electromagnetic interference optimization analysis is qualified, and then perform regional electromagnetic coordination analysis with the preset regional comprehensive electromagnetic coordination compatibility threshold A; The electromagnetic field optimization module is used to calculate the regional electromagnetic field fine optimization index EMF when the electromagnetic interference optimization analysis and the regional electromagnetic coordination analysis are unqualified, and then perform electromagnetic coordination optimization evaluation with the regional comprehensive electromagnetic coordination compatibility threshold A.

[0006] Preferably, the data sensing module includes an electromagnetic data acquisition unit, a data processing unit and a data storage unit; The electromagnetic data acquisition unit is used to sense and collect electromagnetic environment data of each area of ​​the building in real time based on the electromagnetic sensing equipment and sensor group installed in the intelligent building; The electromagnetic sensing equipment and sensor group include a high-bandwidth transient interference sensor, a harmonic analyzer, an electromagnetic compatibility analyzer, an electromagnetic radiation meter, an electromagnetic induction current sensor, a space electromagnetic field measurement array sensor, a high-spectrum electromagnetic monitoring analyzer and a wide-band electromagnetic detector.

[0007] Preferably, the data processing unit is used to construct an electromagnetic analysis platform, and establish a communication connection between the electromagnetic analysis platform and the electromagnetic sensing device and sensor group through a wireless network, and transmit the acquired electromagnetic environment data to the electromagnetic analysis platform in real time for data correction, outlier detection, data time synchronization, electromagnetic induction analysis, electromagnetic field analysis and electromagnetic spectrum drift analysis, and then perform dimensionless processing to obtain an electromagnetic feature data group; The electromagnetic induction analysis is used to obtain the electromagnetic induction current density icd by calculation based on the induced current I measured by the electromagnetic induction current sensor and the cross-sectional area mj and depth d of the recorded induction area, specifically: , where mj represents the cross-sectional area of ​​the sensing area, and d represents the depth of the sensing area; The electromagnetic field analysis is used to calculate the gradient using the finite difference method based on the electric field strength E(x, y, z) measured at different positions by the spatial electromagnetic field measurement array sensor to obtain the electromagnetic field spatial gradient ems, specifically: , where 、 and They represent the rate of change of the electric field in the x-axis, y-axis, and z-axis directions respectively; The electromagnetic spectrum drift analysis is used to obtain spectrum data S(f, t) within a time window T based on the environmental electromagnetic signal monitored in real time by a wide-band electromagnetic detector, calculate the main frequency fp(t) and the main frequency drift Δfp at each time point t, and then calculate the electromagnetic spectrum drift index emd based on the RMS statistical method, specifically: , , , where f represents frequency, t represents sampling time, and Δt represents sampling time interval. represents the operator used to find the frequency component with the highest energy at time t; The electromagnetic characteristic data set includes transient electromagnetic pulse amplitude tep, electromagnetic harmonic distortion emh, electromagnetic interference coupling coefficient emc, equipment electromagnetic radiation efficiency emr, electromagnetic induced current density icd, electromagnetic field spatial gradient ems, electromagnetic spectrum drift index emd and regional electromagnetic background noise intensity emb; The data storage unit is used to construct a data repository based on the electromagnetic analysis platform, and store the acquired electromagnetic characteristic data group in the data repository in real time.

[0008] Preferably, the regional electromagnetic analysis module is used to perform summary calculations based on the electromagnetic characteristic data group to obtain the electromagnetic disturbance coordination index EMI and the electromagnetic interference regional diffusion index EDC, and preliminarily analyze the severity of regional electromagnetic interference and the risk level of electromagnetic interference propagation and diffusion between regions; The electromagnetic disturbance synergy index EMI is calculated by the following formula: ; Where, Represents a minimum value that prevents the denominator from being zero; The electromagnetic interference regional diffusion index EDC is calculated by the following formula: ; Where n represents the total number of regions, ∆ems i Represents the differential value of the electromagnetic field spatial gradient in the i-th region.

[0009] Preferably, the interference control analysis module includes an electromagnetic interference control analysis unit and an electromagnetic interference control evaluation unit; The electromagnetic interference control analysis unit is used to perform summary calculation based on the obtained electromagnetic disturbance coordination index EMI and electromagnetic interference regional diffusion index EDC, obtain the regional interference coordination control index REC, and analyze the effectiveness of the regional electromagnetic interference active control; The regional interference cooperative control index REC is calculated by the following formula: ; Where e represents the exponential function.

[0010] Preferably, the electromagnetic interference control evaluation unit is used to count all historical qualified and unqualified electromagnetic interference active control electromagnetic characteristic data groups based on the electromagnetic characteristic data groups in the data storage library, and calculate all historical regional interference collaborative control indexes REC, and then use a statistical method to calculate the mean of the historical regional interference collaborative control indexes REC, and preset the regional electromagnetic interference optimization threshold Z based on the mean, and then perform electromagnetic interference optimization analysis with the obtained regional interference collaborative control index REC, and execute corresponding instructions according to the evaluation results. The specific evaluation scheme is as follows; When the regional interference coordination control index REC is greater than the regional electromagnetic interference optimization threshold Z, the regional electromagnetic interference control capability is qualified and the overall electromagnetic compatibility analysis is performed; When the regional interference collaborative control index REC ≤ the regional electromagnetic interference optimization threshold Z, the regional electromagnetic interference control capability is unqualified, and the regional optimization strategy is executed.

[0011] Preferably, the regional collaborative analysis module includes an electromagnetic collaborative analysis unit and an electromagnetic collaborative compatibility assessment unit; The electromagnetic synergy analysis unit is used to perform an overall electromagnetic compatibility analysis when the electromagnetic interference optimization analysis is qualified; The overall electromagnetic compatibility analysis is performed based on the obtained electromagnetic disturbance coordination index EMI, electromagnetic interference regional diffusion index EDC and regional interference coordination control index REC to obtain the regional electromagnetic coordination control index REM and analyze the ability of the region to actively coordinate and optimize the control of interference; The regional electromagnetic synergistic control index REM is calculated and obtained by the following formula: ; Where N is the number of regions, j is the traversal variable, REC j represents the regional collaborative control index of the jth region, EDC j Represents the electromagnetic interference cooperative response index of the jth region, EMI j represents the electromagnetic disturbance cooperation index of the jth region.

[0012] Preferably, the electromagnetic synergy compatibility evaluation unit calculates the mean of all historical regional electromagnetic synergy control indexes REM by a statistical method based on all historical regional electromagnetic synergy control indexes REM, presets a regional comprehensive electromagnetic synergy compatibility threshold A based on the mean, and performs regional electromagnetic synergy analysis with the obtained regional electromagnetic synergy control index REM. The specific evaluation scheme is as follows; When the regional electromagnetic coordination control index REM>regional comprehensive electromagnetic coordination compatibility threshold A, the overall electromagnetic compatibility control is qualified and normal monitoring is maintained; When the regional electromagnetic coordination control index REM ≤ the regional comprehensive electromagnetic coordination compatibility threshold A, the overall electromagnetic compatibility control fails, and the regional optimization strategy is executed.

[0013] Preferably, the electromagnetic field optimization module includes a regional fine optimization unit and an optimization compatibility evaluation unit; The regional fine optimization unit is used to execute the regional optimization strategy when the electromagnetic interference optimization analysis and the regional electromagnetic coordination analysis are unqualified; The regional optimization strategy constructs a regional electromagnetic field perturbation perception control model based on the electromagnetic analysis platform, and inputs the electromagnetic characteristic data set and the regional electromagnetic synergistic control index REM into the regional electromagnetic field perturbation perception control model to calculate the regional electromagnetic field fine optimization index EMF, evaluate the effect of fine electromagnetic environment control in the region, and control the electromagnetic environment details missed in the preliminary optimization; The regional electromagnetic field fine optimization index EMF is calculated and obtained by the following formula: ; Where ems max Indicates the maximum spatial gradient of the electromagnetic field at all measurement points within the building area, ems min Indicates the minimum value of the electromagnetic field spatial gradient among all measurement points in the building area; The optimization and compatibility evaluation unit is used to perform electromagnetic synergy optimization evaluation based on the obtained regional electromagnetic field fine optimization index EMF and the regional comprehensive electromagnetic synergy compatibility threshold A. The specific evaluation scheme is as follows; When the regional electromagnetic field fine optimization index EMF>regional comprehensive electromagnetic synergy compatibility threshold A, the overall electromagnetic compatibility control is qualified; When the regional electromagnetic field fine optimization index EMF is less than or equal to the regional comprehensive electromagnetic synergistic compatibility threshold A, the overall electromagnetic compatibility control fails. At this time, the optimized data will be iteratively analyzed through the regional electromagnetic analysis module.

[0014] The bistable distributed regional collaborative control method for intelligent buildings includes the following steps: S1. Based on the electromagnetic sensing equipment and sensor groups installed in the smart building, real-time collection of electromagnetic environment data in each area is carried out, and an electromagnetic analysis platform is built to process the electromagnetic feature data group and store it in the data repository; S2. Conduct a preliminary analysis of the electromagnetic feature data set based on the electromagnetic analysis platform on the degree of regional electromagnetic interference and the degree of electromagnetic interference propagation and diffusion; S3. Based on the preliminary analysis results, a comprehensive calculation is performed to obtain the regional interference collaborative control index REC, and then an electromagnetic interference optimization analysis is performed with the preset regional electromagnetic interference optimization threshold Z; S4. When the electromagnetic interference optimization analysis is qualified, calculate the regional electromagnetic coordination control index REM, and then perform regional electromagnetic coordination analysis with the preset regional comprehensive electromagnetic coordination compatibility threshold A; S5. When the electromagnetic interference optimization analysis and regional electromagnetic synergy analysis are unqualified, calculate the regional electromagnetic field fine optimization index EMF, and then conduct electromagnetic synergy optimization evaluation with the regional comprehensive electromagnetic synergy compatibility threshold A.

[0015] The present invention provides a bistable distributed regional collaborative control method and system for intelligent buildings. It has the following beneficial effects: (1) The system relies on the data perception module and uses high-precision equipment such as high-bandwidth transient interference sensors, harmonic analyzers, electromagnetic compatibility analyzers, electromagnetic radiation meters, electromagnetic induction current sensors, space electromagnetic field measurement array sensors, high-spectrum electromagnetic monitoring analyzers and wide-band electromagnetic detectors to collect electromagnetic environment data of various areas in the building in real time and build an electromagnetic analysis platform. The collected electromagnetic environment data is then pre-processed through the electromagnetic analysis platform to form an electromagnetic feature data group, laying a data foundation for subsequent electromagnetic interference analysis and optimization.

[0016] (2) The system's regional electromagnetic analysis module calculates the electromagnetic disturbance coordination index EMI and the electromagnetic interference regional diffusion index EDC based on the electromagnetic characteristic data set, and preliminarily evaluates the severity of regional electromagnetic interference and the level of electromagnetic interference diffusion between adjacent regions. Subsequently, the interference control analysis module comprehensively calculates the regional interference coordination control index REC, and performs electromagnetic interference optimization analysis based on the regional electromagnetic interference optimization threshold Z set based on historical statistical data to evaluate the regional electromagnetic interference control capability. If the regional interference coordination control index REC is lower than the regional electromagnetic interference optimization threshold Z, the system will execute the optimization strategy and adjust the electromagnetic environment parameters. Furthermore, the regional coordination analysis module calculates the regional electromagnetic coordination control index REM and compares it with the preset regional comprehensive electromagnetic coordination compatibility threshold A to evaluate the overall electromagnetic compatibility. When the regional electromagnetic coordination control index REM is qualified, it indicates that the active coordination control capability of electromagnetic interference between regions meets the requirements, otherwise a more in-depth optimization strategy needs to be implemented.

[0017] (3) When the system detects that the electromagnetic interference optimization analysis and regional electromagnetic coordination analysis are not up to standard, the electromagnetic field optimization module of the system starts the regional electromagnetic field perturbation perception control model and calculates the regional electromagnetic field fine optimization index EMF to further identify and correct the equipment performance degradation problems caused by harmonic distortion emh and electromagnetic spectrum drift emd. This index is based on the maximum value of the electromagnetic field spatial gradient ems at all measurement points in the building. max and minimum ems minCalculations are performed to accurately quantify residual electromagnetic interference risks and optimize electromagnetic environment stability. Ultimately, through a data-driven, progressive optimization mechanism, the system achieves precise monitoring, proactive intervention, and efficient optimization of the electromagnetic environment within smart buildings. This reduces the impact of electromagnetic interference on equipment operation and wireless communications, improves the overall electromagnetic compatibility and system reliability of the building, and provides strong technical support for the safe and stable operation of smart buildings. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 This is a flow chart of the bistable distributed regional collaborative control system for intelligent buildings of the present invention; Figure 2 This is a schematic diagram of the steps of the bistable distributed regional collaborative control method for intelligent buildings of the present invention; Figure 3 This is a schematic diagram of the operating principle of the bistable distributed regional collaborative control system for intelligent buildings of the present invention. DETAILED DESCRIPTION

[0019] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0020] Example 1 See also Figure 1 The present invention provides a bistable distributed regional collaborative control system for intelligent buildings. To achieve the above purpose, the present invention is implemented through the following technical solutions: including a data perception module, a regional electromagnetic analysis module, an interference control analysis module, a regional collaborative analysis module and an electromagnetic field optimization module; The data sensing module is used to collect electromagnetic environment data of each area in real time based on the electromagnetic sensing equipment and sensor groups installed in the intelligent building, and build an electromagnetic analysis platform for processing, obtain electromagnetic feature data groups, and store them in the data repository; The regional electromagnetic analysis module is used to perform a preliminary analysis of the electromagnetic feature data set based on the electromagnetic analysis platform on the degree of regional electromagnetic interference and the degree of electromagnetic interference propagation and diffusion; The interference control analysis module performs comprehensive calculations based on the preliminary analysis results to obtain the regional interference collaborative control index REC, and then performs electromagnetic interference optimization analysis with the preset regional electromagnetic interference optimization threshold Z; The regional coordination analysis module is used to calculate the regional electromagnetic coordination control index REM when the electromagnetic interference optimization analysis is qualified, and then perform regional electromagnetic coordination analysis with the preset regional comprehensive electromagnetic coordination compatibility threshold A; The electromagnetic field optimization module is used to calculate the regional electromagnetic field fine optimization index EMF when the electromagnetic interference optimization analysis and the regional electromagnetic coordination analysis are unqualified, and then perform electromagnetic coordination optimization evaluation with the regional comprehensive electromagnetic coordination compatibility threshold A.

[0021] In this embodiment, the data perception module, based on electromagnetic sensing devices and sensors installed within the smart building, collects real-time electromagnetic environment data from each area. This data is processed using an electromagnetic analysis platform to obtain electromagnetic signature data sets, providing fundamental data support for subsequent analysis. The regional electromagnetic analysis module accurately assesses the intensity and propagation of electromagnetic interference within the building by calculating the electromagnetic disturbance coordination index (EMI) and the electromagnetic interference regional diffusion index (EDC), providing a scientific basis for electromagnetic interference control. The interference control analysis module further calculates the regional interference coordination control index (REC) and performs an electromagnetic interference optimization analysis against a preset regional electromagnetic interference optimization threshold (Z) to determine whether the current electromagnetic interference control capability meets the standard. If control is satisfactory, the regional coordination analysis module calculates the regional electromagnetic coordination control index (REM) to assess overall electromagnetic compatibility and performs a regional electromagnetic coordination analysis against a preset regional comprehensive electromagnetic coordination compatibility threshold (A) to ensure that the electromagnetic environment within the building is coordinated and controllable. If the electromagnetic environment remains unstable, the electromagnetic field optimization module calculates the regional electromagnetic field refinement index (EMF) based on the perturbation perception control model and performs in-depth optimization to address potential interference issues such as harmonic distortion and spectral drift, further improving the stability and reliability of the electromagnetic environment. Compared to existing technologies, this system introduces a multi-level collaborative control mechanism during electromagnetic environment analysis and optimization. This not only accurately identifies electromagnetic interference sources and quantifies the impact of electromagnetic disturbances, but also enables adaptive adjustment of the electromagnetic environment through a progressive optimization strategy. This invention significantly improves the efficiency of managing the electromagnetic environment within buildings through a data-driven dynamic adjustment mechanism. This system can effectively enhance the stability of the electromagnetic environment within intelligent buildings, reduce the impact of electromagnetic interference between devices, and improve overall electromagnetic compatibility, providing technical support for the safe and stable operation of intelligent buildings.

[0022] Example 2 This embodiment is explained in Example 1, please refer to Figure 1 and Figure 3 ,Specifically: the data perception module includes an electromagnetic data acquisition unit, a data processing unit and a data storage unit; The electromagnetic data acquisition unit is used to sense and collect electromagnetic environment data of each area of ​​the building in real time based on the electromagnetic sensing equipment and sensor group installed in the intelligent building; The electromagnetic sensing equipment and sensor group include high-bandwidth transient interference sensors, harmonic analyzers, electromagnetic compatibility analyzers, electromagnetic radiation measuring instruments, electromagnetic induction current sensors, space electromagnetic field measurement array sensors, high-frequency spectrum electromagnetic monitoring analyzers and broadband electromagnetic detectors; The high bandwidth transient interference sensor is used to collect the transient electromagnetic pulse amplitude tep; The harmonic analyzer is used to collect electromagnetic harmonic distortion emh; Electromagnetic compatibility analyzer is used to collect electromagnetic interference coupling coefficient emc; The electromagnetic radiation measuring instrument is used to collect the electromagnetic radiation efficiency emr of the equipment; The broadband electromagnetic detector is used to collect the electromagnetic background noise intensity emb.

[0023] The data processing unit is used to build an electromagnetic analysis platform and establish a communication connection between the electromagnetic analysis platform and the electromagnetic sensing device and sensor group through a wireless network, and transmit the acquired electromagnetic environment data to the electromagnetic analysis platform in real time for data correction, outlier detection, data time synchronization, electromagnetic induction analysis, electromagnetic field analysis and electromagnetic spectrum drift analysis, and then perform dimensionless processing to obtain an electromagnetic feature data group; The electromagnetic induction analysis is used to obtain the electromagnetic induction current density icd by calculation based on the induced current I measured by the electromagnetic induction current sensor and the cross-sectional area mj and depth d of the recorded induction area, specifically: , where mj represents the cross-sectional area of ​​the sensing area, and d represents the depth of the sensing area; The electromagnetic field analysis is used to calculate the gradient using the finite difference method based on the electric field strength E(x, y, z) measured at different positions by the spatial electromagnetic field measurement array sensor to obtain the electromagnetic field spatial gradient ems, specifically: , where 、 and They represent the rate of change of the electric field in the x-axis, y-axis, and z-axis directions respectively; The electromagnetic spectrum drift analysis is used to obtain spectrum data S(f, t) within a time window T based on the environmental electromagnetic signal monitored in real time by a wide-band electromagnetic detector, calculate the main frequency fp(t) and the main frequency drift Δfp at each time point t, and then calculate the electromagnetic spectrum drift index emd based on the RMS statistical method, specifically: , , , where f represents frequency, t represents sampling time, and Δt represents sampling time interval. represents the operator used to find the frequency component with the highest energy at time t; The electromagnetic characteristic data set includes transient electromagnetic pulse amplitude tep, electromagnetic harmonic distortion emh, electromagnetic interference coupling coefficient emc, equipment electromagnetic radiation efficiency emr, electromagnetic induced current density icd, electromagnetic field spatial gradient ems, electromagnetic spectrum drift index emd and regional electromagnetic background noise intensity emb; The data storage unit is used to construct a data repository based on the electromagnetic analysis platform, and store the acquired electromagnetic characteristic data group in the data repository in real time.

[0024] In this embodiment, the data perception module achieves precise monitoring and efficient management of the electromagnetic environment within intelligent buildings through the coordinated action of an electromagnetic data acquisition unit, a data processing unit, and a data storage unit. Through the integrated application of multiple types of electromagnetic sensing devices and sensor groups, real-time electromagnetic environment data from all areas of the building is collected, providing more comprehensive electromagnetic environment perception capabilities. The data processing unit constructs an electromagnetic analysis platform and establishes a wireless communication connection between the electromagnetic analysis platform and the electromagnetic sensing devices and sensor groups. This not only enables real-time data transmission but also performs data correction, outlier detection, time synchronization, and dimensionless processing, improving data accuracy and standardization. Compared to traditional single-source electromagnetic data acquisition methods, this system can more comprehensively capture and quantify electromagnetic characteristics within a building. It also establishes a long-term historical data accumulation through a data repository, providing strong support for subsequent electromagnetic environment analysis, optimization, and prediction, thereby enhancing the electromagnetic environment adaptability and autonomous optimization capabilities of intelligent buildings.

[0025] Example 3 This embodiment is explained in Example 2, please refer to Figure 1 and Figure 3 Specifically: the regional electromagnetic analysis module is used to perform summary calculations based on the electromagnetic characteristic data group to obtain the electromagnetic disturbance coordination index EMI and the electromagnetic interference regional diffusion index EDC, and preliminarily analyze the severity of regional electromagnetic interference and the risk level of electromagnetic interference propagation and diffusion between regions; The electromagnetic disturbance synergy index EMI is calculated by the following formula: ; Where, Represents a minimum value that prevents the denominator from being zero; The electromagnetic interference regional diffusion index EDC is calculated by the following formula: ; Where n represents the total number of regions, ∆ems i It represents the difference value of the spatial gradient of the electromagnetic field in the i-th region, that is, the difference in the gradient between adjacent regions.

[0026] In this embodiment, the regional electromagnetic analysis module achieves precise quantitative analysis of the electromagnetic environment within smart buildings by calculating the electromagnetic disturbance synergy index (EMI) and the electromagnetic interference regional diffusion index (EDC). The EMI measures the synergistic effect of electromagnetic interference between different regions, enabling the system to identify high-interference areas and optimize interference suppression strategies. The EDC, on the other hand, assesses the propagation and diffusion of electromagnetic interference, thereby providing comprehensive monitoring and early warning capabilities for cross-regional interference. Compared to traditional static assessment methods, this method introduces differential calculations of electromagnetic field spatial gradients, enabling the system to not only analyze the electromagnetic characteristics of a single region but also dynamically perceive electromagnetic field trends between regions, thereby improving the accuracy of interference location. Furthermore, a minimum value processing strategy that prevents the denominator from reaching zero improves the stability and robustness of the calculation, ensuring the system's effective operation in complex environments. Overall, the application of this module enables more refined electromagnetic interference detection and propagation risk prediction, providing a more intelligent and adaptive electromagnetic environment optimization solution for smart buildings.

[0027] Example 4 This embodiment is explained in Example 3, please refer to Figure 1 and Figure 3 , specifically: the interference control analysis module includes an electromagnetic interference control analysis unit and an electromagnetic interference control evaluation unit; The electromagnetic interference control analysis unit is used to perform summary calculation based on the obtained electromagnetic disturbance coordination index EMI and electromagnetic interference regional diffusion index EDC, obtain the regional interference coordination control index REC, and analyze the effectiveness of the regional electromagnetic interference active control; The regional interference cooperative control index REC is calculated by the following formula: ; Where e represents the exponential function.

[0028] The electromagnetic interference control evaluation unit is used to count all historical qualified and unqualified electromagnetic interference active control electromagnetic characteristic data groups based on the electromagnetic characteristic data groups in the data storage library, and calculate all historical regional interference collaborative control indexes REC, and then use a statistical method to calculate the average of the historical regional interference collaborative control indexes REC, and preset the regional electromagnetic interference optimization threshold Z based on the average value, and then perform electromagnetic interference optimization analysis with the obtained regional interference collaborative control index REC, and execute corresponding instructions based on the evaluation results. The specific evaluation scheme is as follows; When the regional interference coordination control index REC is greater than the regional electromagnetic interference optimization threshold Z, the regional electromagnetic interference control capability is qualified and the overall electromagnetic compatibility analysis is performed; When the regional interference collaborative control index REC ≤ the regional electromagnetic interference optimization threshold Z, the regional electromagnetic interference control capability is unqualified, and the regional optimization strategy is executed.

[0029] In this embodiment, the interference control analysis module realizes the precise identification, active control and dynamic optimization of electromagnetic interference inside the intelligent building through the synergistic effect of the electromagnetic interference control analysis unit and the electromagnetic interference control evaluation unit. By calculating the electromagnetic disturbance coordination index EMI and the electromagnetic interference regional diffusion index EDC, the regional interference coordination control index REC is further calculated to accurately evaluate the effectiveness of the active control of electromagnetic interference. In addition, the module introduces a historical data statistical analysis method. By calculating the mean of the historical regional interference coordination control index REC, the dynamic regional electromagnetic interference optimization threshold Z is set, avoiding the defect of the traditional fixed threshold method that cannot adapt to the changes in the complex electromagnetic environment. This dynamic evaluation mechanism can not only improve the accuracy and adaptability of electromagnetic interference control, but also automatically trigger the optimization strategy when the control does not meet the standards, ensuring the adaptive adjustment capability of electromagnetic interference optimization. Ultimately, the module achieves efficient suppression of electromagnetic interference, improves the stability and reliability of the electromagnetic environment inside the building, and provides an accurate, efficient and adaptive optimization solution for the electromagnetic compatibility management of intelligent buildings.

[0030] Example 5 This embodiment is explained in Example 4. Please refer to Figure 1 and Figure 3 ,Specifically: the regional collaborative analysis module includes an electromagnetic collaborative analysis unit and an electromagnetic collaborative compatibility assessment unit; The electromagnetic synergy analysis unit is used to perform an overall electromagnetic compatibility analysis when the electromagnetic interference optimization analysis is qualified; The overall electromagnetic compatibility analysis is performed based on the obtained electromagnetic disturbance coordination index EMI, electromagnetic interference regional diffusion index EDC and regional interference coordination control index REC to obtain the regional electromagnetic coordination control index REM and analyze the ability of the region to actively coordinate and optimize the control of interference; The regional electromagnetic synergistic control index REM is calculated and obtained by the following formula: ; Where N is the number of regions, j is the traversal variable, REC j represents the regional collaborative control index of the jth region, EDC j Represents the electromagnetic interference cooperative response index of the jth region, EMI j represents the electromagnetic disturbance cooperation index of the jth region.

[0031] The electromagnetic synergy compatibility evaluation unit calculates the mean of all historical regional electromagnetic synergy control indexes REM based on the historical regional electromagnetic synergy control indexes REM by a statistical method, presets the regional comprehensive electromagnetic synergy compatibility threshold A based on the mean, and performs regional electromagnetic synergy analysis with the obtained regional electromagnetic synergy control index REM. The specific evaluation scheme is as follows; When the regional electromagnetic coordination control index REM>regional comprehensive electromagnetic coordination compatibility threshold A, the overall electromagnetic compatibility control is qualified and normal monitoring is maintained; When the regional electromagnetic coordination control index REM ≤ the regional comprehensive electromagnetic coordination compatibility threshold A, the overall electromagnetic compatibility control is unqualified and the overall electromagnetic coordination is unstable. At this time, the regional optimization strategy is executed.

[0032] In this embodiment, the regional collaborative analysis module achieves in-depth optimization and dynamic adaptation of the electromagnetic environment within smart buildings through the collaborative work of the electromagnetic collaborative analysis unit and the electromagnetic collaborative compatibility assessment unit. By calculating the regional electromagnetic collaborative control index REM, the system can comprehensively assess the electromagnetic compatibility between multiple regions, accurately analyze the collaborative control capabilities of electromagnetic interference in each region, and effectively identify potential electromagnetic instability factors. Furthermore, based on historical data statistics, the system sets a regional comprehensive electromagnetic collaborative compatibility threshold A. By comparing the real-time calculated regional electromagnetic collaborative control index REM, it provides a dynamic adjustment strategy to ensure long-term stability of the electromagnetic environment. Compared with traditional static electromagnetic compatibility assessment methods, this system can perceive, analyze, and optimize electromagnetic compatibility between regions in real time, achieving a dynamic balance of the global electromagnetic environment. In particular, when electromagnetic collaborative control fails, the system can immediately trigger a regional optimization strategy, proactively intervene, and precisely adjust to prevent the continued accumulation and spread of electromagnetic interference. This shifts electromagnetic environment management from passive response to active optimization, providing more efficient, accurate, and continuously optimized electromagnetic compatibility assurance for smart buildings.

[0033] Example 6 This embodiment is explained in Example 5, please refer to Figure 1 and Figure 3 ,Specifically: the electromagnetic field optimization module includes a regional fine optimization unit and an optimization compatibility evaluation unit; The regional fine optimization unit is used to execute the regional optimization strategy when the electromagnetic interference optimization analysis and the regional electromagnetic coordination analysis are unqualified; The regional optimization strategy constructs a regional electromagnetic field perturbation perception control model based on the electromagnetic analysis platform, and inputs the electromagnetic characteristic data set and the regional electromagnetic cooperative control index REM into the regional electromagnetic field perturbation perception control model to calculate the regional electromagnetic field fine optimization index EMF. Although the regional interference cooperative control index REC suppresses harmonics and spectrum drift, it does not completely eliminate the potential equipment performance degradation problems caused by harmonic distortion and spectrum drift. The regional electromagnetic field perturbation perception control model is used to accurately quantify and highlight the remaining risks, guide fine control, evaluate the effect of fine electromagnetic environment control in the region, and control the electromagnetic environment details missed in the initial optimization. The regional electromagnetic field fine optimization index EMF is calculated and obtained by the following formula: ; Where ems max Indicates the maximum spatial gradient of the electromagnetic field at all measurement points within the building area, ems min Indicates the minimum value of the electromagnetic field spatial gradient among all measurement points in the building area; The optimization and compatibility evaluation unit is used to perform electromagnetic synergy optimization evaluation based on the obtained regional electromagnetic field fine optimization index EMF and the regional comprehensive electromagnetic synergy compatibility threshold A. The specific evaluation scheme is as follows; When the regional electromagnetic field fine optimization index EMF>regional comprehensive electromagnetic synergy compatibility threshold A, the overall electromagnetic compatibility control is qualified; When the regional electromagnetic field fine optimization index EMF is less than or equal to the regional comprehensive electromagnetic synergistic compatibility threshold A, the overall electromagnetic compatibility control fails. At this time, the optimized data will be iteratively analyzed through the regional electromagnetic analysis module.

[0034] In this embodiment, the electromagnetic field optimization module achieves in-depth optimization and precise control of the electromagnetic environment within a smart building through the synergistic effect of a regional fine-tuning unit and an optimization and compatibility assessment unit. Relying on the electromagnetic analysis platform, the regional fine-tuning unit constructs a regional electromagnetic field perturbation-aware control model. This model quantifies the residual effects of interference factors such as harmonic distortion and spectral drift, and highlights hidden electromagnetic environment risks. This ensures that the optimization strategy not only suppresses known interference sources but also addresses detailed electromagnetic environment issues missed during the initial optimization process. By calculating the regional electromagnetic field fine-tuning index (EMF), the system can more accurately assess the optimization effect of the electromagnetic environment within the region and further guide fine-tuning control, thereby improving the stability and compatibility of the electromagnetic environment within the building. Furthermore, the optimization and compatibility assessment unit compares the EMF index with the regional comprehensive electromagnetic compatibility threshold (A) to ensure that the optimized electromagnetic environment meets stability requirements. If this requirement is still not met, the optimized data is fed back to the regional electromagnetic analysis module for iterative optimization, thus providing the system with adaptive optimization capabilities. This fine optimization mechanism based on dynamic feedback is more intelligent and adaptive than traditional static electromagnetic compatibility optimization methods. It can continuously reduce interference between devices, improve electromagnetic environment compatibility, and achieve efficient electromagnetic field fine control in complex environments, thereby providing stronger guarantees for the long-term safe operation of smart buildings.

[0035] Example 7 Please refer to Figure 2 ,A bistable distributed regional collaborative control method for intelligent buildings, comprising the following steps: S1. Based on the electromagnetic sensing equipment and sensor groups installed in the smart building, real-time collection of electromagnetic environment data in each area is carried out, and an electromagnetic analysis platform is built to process the electromagnetic feature data group and store it in the data repository; S2. Conduct a preliminary analysis of the electromagnetic feature data set based on the electromagnetic analysis platform on the degree of regional electromagnetic interference and the degree of electromagnetic interference propagation and diffusion; S3. Based on the preliminary analysis results, a comprehensive calculation is performed to obtain the regional interference collaborative control index REC, and then an electromagnetic interference optimization analysis is performed with the preset regional electromagnetic interference optimization threshold Z; S4. When the electromagnetic interference optimization analysis is qualified, calculate the regional electromagnetic coordination control index REM, and then perform regional electromagnetic coordination analysis with the preset regional comprehensive electromagnetic coordination compatibility threshold A; S5. When the electromagnetic interference optimization analysis and regional electromagnetic synergy analysis are unqualified, calculate the regional electromagnetic field fine optimization index EMF, and then conduct electromagnetic synergy optimization evaluation with the regional comprehensive electromagnetic synergy compatibility threshold A.

[0036] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A bistable distributed regional collaborative control system for intelligent buildings, characterized by: It includes data perception module, regional electromagnetic analysis module, interference control analysis module, regional collaborative analysis module and electromagnetic field optimization module; The data sensing module is used to collect electromagnetic environment data of each area in real time based on the electromagnetic sensing equipment and sensor groups installed in the intelligent building, and build an electromagnetic analysis platform for processing, obtain electromagnetic feature data groups, and store them in the data repository; The regional electromagnetic analysis module is used to perform a preliminary analysis of the electromagnetic feature data set based on the electromagnetic analysis platform on the degree of regional electromagnetic interference and the degree of electromagnetic interference propagation and diffusion; The interference control analysis module performs comprehensive calculations based on the preliminary analysis results to obtain the regional interference collaborative control index REC, and then performs electromagnetic interference optimization analysis with the preset regional electromagnetic interference optimization threshold Z; The regional coordination analysis module is used to calculate the regional electromagnetic coordination control index REM when the electromagnetic interference optimization analysis is qualified, and then perform regional electromagnetic coordination analysis with the preset regional comprehensive electromagnetic coordination compatibility threshold A; The electromagnetic field optimization module is used to calculate the regional electromagnetic field fine optimization index EMF when the electromagnetic interference optimization analysis and the regional electromagnetic coordination analysis are unqualified, and then perform electromagnetic coordination optimization evaluation with the regional comprehensive electromagnetic coordination compatibility threshold A.

2. The bistable distributed regional collaborative control system for intelligent buildings according to claim 1 is characterized by: The data sensing module includes an electromagnetic data acquisition unit, a data processing unit and a data storage unit; The electromagnetic data acquisition unit is used to sense and collect electromagnetic environment data of each area of ​​the building in real time based on the electromagnetic sensing equipment and sensor group installed in the intelligent building; The electromagnetic sensing equipment and sensor group include a high-bandwidth transient interference sensor, a harmonic analyzer, an electromagnetic compatibility analyzer, an electromagnetic radiation meter, an electromagnetic induction current sensor, a space electromagnetic field measurement array sensor, a high-spectrum electromagnetic monitoring analyzer and a wide-band electromagnetic detector.

3. The bistable distributed regional collaborative control system for intelligent buildings according to claim 2, characterized in that: The data processing unit is used to build an electromagnetic analysis platform and establish a communication connection between the electromagnetic analysis platform and the electromagnetic sensing device and sensor group through a wireless network, and transmit the acquired electromagnetic environment data to the electromagnetic analysis platform in real time for data correction, outlier detection, data time synchronization, electromagnetic induction analysis, electromagnetic field analysis and electromagnetic spectrum drift analysis, and then perform dimensionless processing to obtain an electromagnetic feature data group; The electromagnetic induction analysis is used to obtain the electromagnetic induction current density icd by calculation based on the induced current I measured by the electromagnetic induction current sensor and the cross-sectional area mj and depth d of the recorded induction area, specifically: , where mj represents the cross-sectional area of ​​the sensing area, and d represents the depth of the sensing area; The electromagnetic field analysis is used to calculate the electromagnetic field spatial gradient ems using the finite difference method based on the electric field strength E(x, y, z) measured by the spatial electromagnetic field measurement array sensor at different positions, specifically: , where 、 and They represent the rate of change of the electric field in the x-axis, y-axis, and z-axis directions respectively; The electromagnetic spectrum drift analysis is used to obtain spectrum data S(f, t) within a time window T based on the environmental electromagnetic signal monitored in real time by a wide-band electromagnetic detector, calculate the main frequency fp(t) and the main frequency drift Δfp at each time point t, and then calculate the electromagnetic spectrum drift index emd based on the RMS statistical method, specifically: , , , where f represents frequency, t represents sampling time, and Δt represents sampling time interval. represents the operator used to find the frequency component with the highest energy at time t; The electromagnetic characteristic data set includes transient electromagnetic pulse amplitude tep, electromagnetic harmonic distortion emh, electromagnetic interference coupling coefficient emc, equipment electromagnetic radiation efficiency emr, electromagnetic induced current density icd, electromagnetic field spatial gradient ems, electromagnetic spectrum drift index emd and regional electromagnetic background noise intensity emb; The data storage unit is used to construct a data repository based on the electromagnetic analysis platform, and store the acquired electromagnetic characteristic data group in the data repository in real time.

4. The bistable distributed regional collaborative control system for intelligent buildings according to claim 3 is characterized by: The regional electromagnetic analysis module is used to perform summary calculations based on the electromagnetic characteristic data set to obtain the electromagnetic disturbance coordination index EMI and the electromagnetic interference regional diffusion index EDC, and preliminarily analyze the severity of regional electromagnetic interference and the risk level of electromagnetic interference propagation and diffusion between regions; The electromagnetic disturbance synergy index EMI is calculated by the following formula: ； Where, Represents a minimum value that prevents the denominator from being zero; The electromagnetic interference regional diffusion index EDC is calculated by the following formula: ； Where n represents the total number of regions, ∆ems i Represents the differential value of the electromagnetic field spatial gradient in the i-th region.

5. The bistable distributed regional collaborative control system for intelligent buildings according to claim 4 is characterized in that: The interference control analysis module includes an electromagnetic interference control analysis unit and an electromagnetic interference control evaluation unit; The electromagnetic interference control analysis unit is used to perform summary calculation based on the obtained electromagnetic disturbance coordination index EMI and electromagnetic interference regional diffusion index EDC, obtain the regional interference coordination control index REC, and analyze the effectiveness of the regional electromagnetic interference active control; The regional interference cooperative control index REC is calculated by the following formula: ； Where e represents the exponential function.

6. The bistable distributed regional collaborative control system for intelligent buildings according to claim 5, characterized in that: The electromagnetic interference control evaluation unit is used to count all historical qualified and unqualified electromagnetic interference active control electromagnetic characteristic data groups based on the electromagnetic characteristic data groups in the data storage library, and calculate all historical regional interference collaborative control indexes REC, and then use a statistical method to calculate the average of the historical regional interference collaborative control indexes REC, and preset the regional electromagnetic interference optimization threshold Z based on the average value, and then perform electromagnetic interference optimization analysis with the obtained regional interference collaborative control index REC, and execute corresponding instructions based on the evaluation results. The specific evaluation scheme is as follows; When the regional interference coordination control index REC is greater than the regional electromagnetic interference optimization threshold Z, the regional electromagnetic interference control capability is qualified and the overall electromagnetic compatibility analysis is performed; When the regional interference collaborative control index REC ≤ the regional electromagnetic interference optimization threshold Z, the regional electromagnetic interference control capability is unqualified, and the regional optimization strategy is executed.

7. The bistable distributed regional collaborative control system for intelligent buildings according to claim 6, characterized in that: The regional collaborative analysis module includes an electromagnetic collaborative analysis unit and an electromagnetic collaborative compatibility assessment unit; The electromagnetic synergy analysis unit is used to perform an overall electromagnetic compatibility analysis when the electromagnetic interference optimization analysis is qualified; The overall electromagnetic compatibility analysis is performed based on the obtained electromagnetic disturbance coordination index EMI, electromagnetic interference regional diffusion index EDC and regional interference coordination control index REC to obtain the regional electromagnetic coordination control index REM and analyze the ability of the region to actively coordinate and optimize the control of interference; The regional electromagnetic synergistic control index REM is calculated and obtained by the following formula: ； Where N is the number of regions, j is the traversal variable, REC j represents the regional collaborative control index of the jth region, EDC j Represents the electromagnetic interference cooperative response index of the jth region, EMI j represents the electromagnetic disturbance cooperation index of the jth region.

8. The bistable distributed regional collaborative control system for intelligent buildings according to claim 7, characterized in that: The electromagnetic synergy compatibility evaluation unit calculates the mean of all historical regional electromagnetic synergy control indexes REM based on the historical regional electromagnetic synergy control indexes REM by a statistical method, presets the regional comprehensive electromagnetic synergy compatibility threshold A based on the mean, and performs regional electromagnetic synergy analysis with the obtained regional electromagnetic synergy control index REM. The specific evaluation scheme is as follows; When the regional electromagnetic coordination control index REM>regional comprehensive electromagnetic coordination compatibility threshold A, the overall electromagnetic compatibility control is qualified and normal monitoring is maintained; When the regional electromagnetic coordination control index REM ≤ the regional comprehensive electromagnetic coordination compatibility threshold A, the overall electromagnetic compatibility control fails, and the regional optimization strategy is executed.

9. The bistable distributed regional collaborative control system for intelligent buildings according to claim 6, characterized in that: The electromagnetic field optimization module includes a regional fine optimization unit and an optimization compatibility evaluation unit; The regional fine optimization unit is used to execute the regional optimization strategy when the electromagnetic interference optimization analysis and the regional electromagnetic coordination analysis are unqualified; The regional optimization strategy constructs a regional electromagnetic field perturbation perception control model based on the electromagnetic analysis platform, and inputs the electromagnetic characteristic data set and the regional electromagnetic synergistic control index REM into the regional electromagnetic field perturbation perception control model to calculate the regional electromagnetic field fine optimization index EMF, evaluate the effect of fine electromagnetic environment control in the region, and control the electromagnetic environment details missed in the preliminary optimization; The regional electromagnetic field fine optimization index EMF is calculated and obtained by the following formula: ； Where ems max Indicates the maximum spatial gradient of the electromagnetic field at all measurement points within the building area, ems min Indicates the minimum value of the electromagnetic field spatial gradient among all measurement points in the building area; The optimization and compatibility evaluation unit is used to perform electromagnetic synergy optimization evaluation based on the obtained regional electromagnetic field fine optimization index EMF and the regional comprehensive electromagnetic synergy compatibility threshold A. The specific evaluation scheme is as follows; When the regional electromagnetic field fine optimization index EMF>regional comprehensive electromagnetic synergy compatibility threshold A, the overall electromagnetic compatibility control is qualified; When the regional electromagnetic field fine optimization index EMF is less than or equal to the regional comprehensive electromagnetic synergistic compatibility threshold A, the overall electromagnetic compatibility control fails. At this time, the optimized data will be iteratively analyzed through the regional electromagnetic analysis module.

10. A bistable distributed regional collaborative control method for intelligent buildings, applied to the bistable distributed regional collaborative control system for intelligent buildings according to any one of claims 1 to 9, characterized in that: The following steps are involved: S1. Based on the electromagnetic sensing equipment and sensor groups installed in the smart building, real-time collection of electromagnetic environment data in each area is carried out, and an electromagnetic analysis platform is built to process the electromagnetic feature data group and store it in the data repository; S2. Conduct a preliminary analysis of the electromagnetic feature data set based on the electromagnetic analysis platform on the degree of regional electromagnetic interference and the degree of electromagnetic interference propagation and diffusion; S3. Based on the preliminary analysis results, a comprehensive calculation is performed to obtain the regional interference collaborative control index REC, and then an electromagnetic interference optimization analysis is performed with the preset regional electromagnetic interference optimization threshold Z; S4. When the electromagnetic interference optimization analysis is qualified, calculate the regional electromagnetic coordination control index REM, and then perform regional electromagnetic coordination analysis with the preset regional comprehensive electromagnetic coordination compatibility threshold A; S5. When the electromagnetic interference optimization analysis and regional electromagnetic synergy analysis are unqualified, calculate the regional electromagnetic field fine optimization index EMF, and then conduct electromagnetic synergy optimization evaluation with the regional comprehensive electromagnetic synergy compatibility threshold A.

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