Signal interference method and system for multiple communication sites

Abstract

The invention discloses a signal interference method and system for multiple communication sites. The method comprises the following steps: defining interference signals of each communication node based on dynamic interaction of multiple signal combinations, interference checking of the multiple signal combinations and abnormal dimensions of a signal communication space; and forming an interference set based on the interference signal of each communication node, and determining a corresponding interference dimension according to the identification of the interference set. Further, a corresponding interference event is matched based on the signal dimension of each communication node, the actual model of each communication node and each interference dimension, and a corresponding interference optimization model is constructed according to the interference event, the interference level and the cooperative relationship of each communication node; based on the interference optimization model and the real-time interference signal, each communication node is dynamically optimized, and based on the optimization progress of each communication node and the communication progress of each communication node, the corresponding progress balance logic is triggered, so that the dynamic communication effect of a plurality of communication sites is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of communication sites, and in particular to a signal interference method and system for multiple communication sites. Background Art

[0002] With the development of science and technology, multiple communication sites are set up in the external environment and conduct external communication. Wireless signals are transmitted based on multiple communication sites. In the prior art, multiple communication sites will receive some interference signals during operation. The interference signals may be caused by the external environment, human factors or signal conflicts. For interference signals, the existing method is to use multiple communication sites for targeted investigation and artificially trace along the interference signals. At the same time, the operation of some communication sites is suspended. However, multiple communication sites cannot dynamically optimize each interference signal in the working state, and cannot guarantee the dynamic communication effect of multiple communication sites. Summary of the invention

[0003] The purpose of the present invention is to overcome the shortcomings of the prior art. The present invention provides a signal interference method and system for multiple communication sites, which construct a signal communication space based on the spatial positions of the multiple communication sites, the models of the multiple communication sites, and the signal dimensions that the multiple communication sites are responsible for; the communication nodes corresponding to the signal communication space are marked, and the corresponding signal combinations are determined based on the positioning detection of each communication node; the interference signals of each communication node are defined based on the dynamic interaction of multiple signal combinations, the interference troubleshooting of multiple signal combinations, and the abnormal dimensions of the signal communication space; an interference set is formed based on the interference signals of each communication node, and the corresponding interference dimensions are determined according to the identification of the interference set, so as to be compatible with the dynamic interaction of multiple signal combinations, the interference troubleshooting of multiple signal combinations, and the overall consideration of the abnormal dimensions of the signal communication space, thereby ensuring the accuracy of the interference signal and then accurately controlling the interference dimension of the interference signal.

[0004] Furthermore, based on the signal dimension of each communication node, the actual model of each communication node and each interference dimension matching corresponding interference events, a corresponding interference optimization model is constructed according to the interference events, interference levels and the collaborative relationship of each communication node; the interference signal and the interference optimization model are associated, and each communication node is dynamically optimized based on the interference optimization model and the real-time interference signal, and the corresponding progress balance logic is triggered based on the optimization progress of each communication node and the communication progress of each communication node, so as to dynamically manage and control the signal interference of multiple communication sites, ensure the dynamic optimization of each interference signal by multiple communication sites in the working state, reduce the interference effect of the interference signal on multiple communication sites, ensure the optimization progress of each communication node and the dynamic balance of the communication progress of each communication node, and thus ensure the dynamic communication effect of multiple communication sites.

[0005] An embodiment of the present invention provides a signal interference method for multiple communication sites, characterized in that it is applied to an indoor scenario of signal interference of multiple communication sites; The signal interference method of the plurality of communication sites comprises: Constructing a signal communication space based on the spatial locations of multiple communication sites, multiple communication site models, and signal dimensions that the multiple communication sites are responsible for; According to the communication nodes corresponding to the signal communication space marks, the corresponding signal combination is determined based on the positioning detection of each communication node; Define the interference signals of each communication node based on the dynamic interaction of multiple signal combinations, interference troubleshooting of multiple signal combinations, and abnormal dimensions of signal communication space; An interference set is formed based on interference signals of each communication node, and a corresponding interference dimension is determined according to the identification of the interference set; Based on the signal dimension of each communication node, the actual model of each communication node and each interference dimension matching the corresponding interference event, the corresponding interference optimization model is constructed according to the interference event, the interference level and the collaborative relationship of each communication node; Associate interference signals and interference optimization models, dynamically optimize each communication node based on the interference optimization model and real-time interference signals, trigger corresponding progress balancing logic based on the optimization progress of each communication node and the communication progress of each communication node, so as to dynamically control the signal interference of multiple communication sites.

[0006] Optionally, the constructing of the signal communication space based on the spatial locations of the multiple communication sites, the multiple communication site models, and the signal dimensions that the multiple communication sites are responsible for includes: Collect the spatial locations of multiple communication sites; Associating the spatial locations of multiple communication sites, multiple communication site models, and signal dimensions that the multiple communication sites are responsible for; defining a first spatial coefficient according to the spatial locations of the plurality of communication sites and the models of the plurality of communication sites; defining a second spatial coefficient according to the spatial locations of the plurality of communication sites and the signal dimensions that the plurality of communication sites are responsible for; Based on environmental detection of the spatial locations of multiple communication sites, multiple environmental parameters are collected, and corresponding communication scenarios are constructed according to the multiple environmental parameters and the spatial locations of the multiple communication sites; the communication scenario, the second spatial coefficient and the first spatial coefficient are associated to construct a signal communication space.

[0007] Optionally, marking corresponding communication nodes according to the signal communication space and determining corresponding signal combinations based on positioning detection of each communication node includes: Freeze signal communication space; Collecting a plurality of communication nodes based on spatial traversal of the signal communication space; Dynamically marking based on the signal communication space and multiple communication nodes to present each communication node in the signal communication space; Define corresponding detection methods based on the node positions of each communication node, the communication directions between each communication node, and the corresponding communication levels; Triggering positioning detection of each communication node based on the detection method; The corresponding communication signals are collected according to the positioning detection of each communication node, and the corresponding signal combination is determined based on the plurality of communication signals, the corresponding communication nodes and the response information of the communication signals.

[0008] Optionally, the method of defining the interference signal of each communication node based on the dynamic interaction of multiple signal combinations, interference troubleshooting of multiple signal combinations, and abnormal dimensions of the signal communication space includes: Collect multiple signal combinations; Triggering dynamic interaction of multiple signal combinations based on multiple signal combinations, corresponding load amounts, and interaction directions of each communication node; Trigger corresponding interference troubleshooting based on multiple signal combinations, define corresponding troubleshooting levels in the interference troubleshooting, and monitor abnormal dimensions of the signal communication space in real time; Correlate the dynamic interactions of multiple signal combinations, troubleshooting levels, and anomaly dimensions of signal communication space; The interference signal of each communication node is defined according to the dynamic interaction of multiple signal combinations, the troubleshooting level and the abnormal dimension of the signal communication space. At this time, there are multiple interference signals, and the multiple interference signals are distributed in different dimensions of multiple signal combinations and are classified and controlled in the signal communication space.

[0009] Optionally, forming an interference set based on interference signals of each communication node, and determining a corresponding interference dimension according to identification of the interference set, includes: Freeze the interference signals of each communication node; An interference set is formed based on the dynamic interaction of interference signals of each communication node. At this time, each interference signal is ranked in the interference set, and the interference level of each interference signal is compatible; Matching a corresponding interference identification model according to the interference set, associating the interference set and the corresponding interference identification model; The corresponding interference dimension is determined according to the interference set and the identification of the interference identification model.

[0010] Optionally, matching corresponding interference events based on the signal dimensions of each communication node, the actual model of each communication node, and each interference dimension, and constructing a corresponding interference optimization model according to the interference events, interference levels, and the collaborative relationship of each communication node, includes: In this signal communication space, freeze each interference dimension; Each interference dimension is associated with the signal dimension of each communication node and the actual model of each communication node; Multiple event factors are defined according to the multi-dimensional interaction of each interference dimension, the signal dimension of each communication node and the actual model of each communication node, and corresponding interference events are matched according to the signal communication space, each communication node and the multiple event factors.

[0011] Optionally, matching corresponding interference events based on the signal dimensions of each communication node, the actual model of each communication node, and each interference dimension, and constructing a corresponding interference optimization model according to the interference events, interference levels, and the collaborative relationship of each communication node, further includes: Define the corresponding collaborative relationship based on the interaction of each communication node and the construction of the signal channel; Correlate interference events, interference levels, and the coordination relationships of various communication nodes; A corresponding interference optimization model is constructed based on interference events, interference levels and the collaborative relationship between various communication nodes. At this time, the interference optimization model is associated with the communication scenario of the signal communication space, and corresponding change factors are defined as the communication scenario changes, and the dynamic changes of the interference optimization model are triggered according to the change factors.

[0012] Optionally, the associated interference signal and the interference optimization model dynamically optimize each communication node based on the interference optimization model and the real-time interference signal, and trigger the corresponding progress balancing logic based on the optimization progress of each communication node and the communication progress of each communication node to dynamically control the signal interference of multiple communication sites, including: Collect interference signals in real time; Correlate interference signals and interference optimization models, and monitor the communication status of each communication node in real time; Based on the interference optimization model, the communication status of each communication node and the real-time interference signal, each communication node is triggered to perform dynamic optimization, and each real-time interference signal is optimized at multiple levels.

[0013] Optionally, the associating interference signal and the interference optimization model, dynamically optimizing each communication node based on the interference optimization model and the real-time interference signal, triggering the corresponding progress balancing logic based on the optimization progress of each communication node and the communication progress of each communication node, so as to dynamically control the signal interference of multiple communication sites, also includes: Dynamically interact with the optimization progress of each communication node and the communication progress of each communication node; The corresponding progress balancing logic is triggered based on the optimization progress of each communication node and the communication progress of each communication node; Dynamically manage signal interference at multiple communication sites based on progress balancing logic.

[0014] In addition, an embodiment of the present invention further provides a signal interference system for multiple communication sites, wherein the signal interference system for multiple communication sites comprises: A signal communication space module is used to construct a signal communication space based on the spatial locations of multiple communication sites, multiple communication site models, and signal dimensions that the multiple communication sites are responsible for; A signal combination module, used to mark the corresponding communication nodes according to the signal communication space, and determine the corresponding signal combination based on the positioning detection of each communication node; Interference signal module, used to define the interference signal of each communication node based on the dynamic interaction of multiple signal combinations, interference troubleshooting of multiple signal combinations, and abnormal dimensions of signal communication space; An interference dimension module, used to form an interference set based on interference signals of each communication node, and determine a corresponding interference dimension according to the identification of the interference set; The interference optimization model module is used to match the corresponding interference events based on the signal dimensions of each communication node, the actual model of each communication node and each interference dimension, and to build the corresponding interference optimization model according to the interference events, interference levels and the collaborative relationship of each communication node; The dynamic optimization module is used to associate interference signals and interference optimization models, dynamically optimize each communication node based on the interference optimization model and real-time interference signals, and trigger the corresponding progress balance logic based on the optimization progress of each communication node and the communication progress of each communication node, so as to dynamically control the signal interference of multiple communication sites.

[0015] In an embodiment of the present invention, through the method in the embodiment of the present invention, a signal communication space is constructed based on the spatial positions of multiple communication sites, multiple communication site models, and signal dimensions that the multiple communication sites are responsible for; according to the communication nodes corresponding to the signal communication space markers, the corresponding signal combinations are determined based on the positioning detection of each communication node; based on the dynamic interaction of multiple signal combinations, interference troubleshooting of multiple signal combinations, and abnormal dimensions of the signal communication space, the interference signals of each communication node are defined; based on the interference signals of each communication node, an interference set is formed, and according to the identification of the interference set, the corresponding interference dimension is determined, so as to be compatible with the dynamic interaction of multiple signal combinations, interference troubleshooting of multiple signal combinations, and the overall consideration of the abnormal dimensions of the signal communication space, thereby ensuring the accuracy of the interference signal and further accurately controlling the interference dimension of the interference signal.

[0016] Furthermore, based on the signal dimension of each communication node, the actual model of each communication node and each interference dimension matching corresponding interference events, a corresponding interference optimization model is constructed according to the interference events, interference levels and the collaborative relationship of each communication node; the interference signal and the interference optimization model are associated, and each communication node is dynamically optimized based on the interference optimization model and the real-time interference signal, and the corresponding progress balance logic is triggered based on the optimization progress of each communication node and the communication progress of each communication node, so as to dynamically manage and control the signal interference of multiple communication sites, ensure the dynamic optimization of each interference signal by multiple communication sites in the working state, reduce the interference effect of the interference signal on multiple communication sites, ensure the optimization progress of each communication node and the dynamic balance of the communication progress of each communication node, and thus ensure the dynamic communication effect of multiple communication sites. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 is a flow chart of a signal interference method for multiple communication sites in an embodiment of the present invention; Figure 2 is a flow chart of S11 in the signal interference method for multiple communication sites in an embodiment of the present invention; Figure 3 is a flow chart of S12 in the signal interference method for multiple communication sites in an embodiment of the present invention; Figure 4is a flow chart of S13 in the signal interference method for multiple communication sites in an embodiment of the present invention; Figure 5 is a flow chart of S14 in the signal interference method for multiple communication sites in an embodiment of the present invention; Figure 6 is a flow chart of S15 in the signal interference method for multiple communication sites in an embodiment of the present invention; Figure 7 is a flow chart of S16 in the signal interference method for multiple communication sites in an embodiment of the present invention; Figure 8 It is a schematic diagram of the structure of a signal jamming system for multiple communication sites in an embodiment of the present invention; Fig. 9 The figure is a hardware diagram of an electronic device according to an exemplary embodiment. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0020] See also Figures 1 to 9 , a signal interference method for multiple communication sites, applied to the indoor signal interference scene of multiple communication sites; the signal interference method for multiple communication sites includes: Step S11: constructing a signal communication space based on the spatial locations of the multiple communication sites, the multiple communication site models, and the signal dimensions that the multiple communication sites are responsible for; Step S12: Mark the corresponding communication nodes according to the signal communication space, and determine the corresponding signal combination based on the positioning detection of each communication node; Step S13: defining interference signals of each communication node based on dynamic interaction of multiple signal combinations, interference troubleshooting of multiple signal combinations, and abnormal dimensions of signal communication space; Step S14: forming an interference set based on the interference signals of each communication node, and determining a corresponding interference dimension according to the identification of the interference set; Step S15: matching corresponding interference events based on the signal dimensions of each communication node, the actual model of each communication node and each interference dimension, and constructing a corresponding interference optimization model according to the interference events, interference levels and the collaborative relationship of each communication node; Step S16: Associating interference signals and interference optimization models, dynamically optimizing each communication node based on the interference optimization model and real-time interference signals, triggering corresponding progress balancing logic based on the optimization progress of each communication node and the communication progress of each communication node, so as to dynamically control the signal interference of multiple communication sites.

[0021] In an embodiment of the present invention, through the method in the embodiment of the present invention, a signal communication space is constructed based on the spatial positions of multiple communication sites, multiple communication site models, and signal dimensions that the multiple communication sites are responsible for; according to the communication nodes corresponding to the signal communication space markers, the corresponding signal combinations are determined based on the positioning detection of each communication node; based on the dynamic interaction of multiple signal combinations, interference troubleshooting of multiple signal combinations, and abnormal dimensions of the signal communication space, the interference signals of each communication node are defined; based on the interference signals of each communication node, an interference set is formed, and according to the identification of the interference set, the corresponding interference dimension is determined, so as to be compatible with the dynamic interaction of multiple signal combinations, interference troubleshooting of multiple signal combinations, and the overall consideration of the abnormal dimensions of the signal communication space, thereby ensuring the accuracy of the interference signal and further accurately controlling the interference dimension of the interference signal.

[0022] Furthermore, based on the signal dimension of each communication node, the actual model of each communication node and each interference dimension matching corresponding interference events, a corresponding interference optimization model is constructed according to the interference events, interference levels and the collaborative relationship of each communication node; the interference signal and the interference optimization model are associated, and each communication node is dynamically optimized based on the interference optimization model and the real-time interference signal, and the corresponding progress balance logic is triggered based on the optimization progress of each communication node and the communication progress of each communication node, so as to dynamically manage and control the signal interference of multiple communication sites, ensure the dynamic optimization of each interference signal by multiple communication sites in the working state, reduce the interference effect of the interference signal on multiple communication sites, ensure the optimization progress of each communication node and the dynamic balance of the communication progress of each communication node, and thus ensure the dynamic communication effect of multiple communication sites.

[0023] refer to Figure 2 , in step S11, a signal communication space is constructed based on the spatial locations of the multiple communication sites, the multiple communication site models, and the signal dimensions that the multiple communication sites are responsible for; In the specific implementation process of the present invention, the specific steps may be: S111: collecting spatial locations of multiple communication sites; S112: Associating the spatial locations of the multiple communication sites, the multiple communication site models, and the signal dimensions that the multiple communication sites are responsible for; S113: defining a first space coefficient according to the spatial locations of the plurality of communication sites and the models of the plurality of communication sites; S114: defining a second spatial coefficient according to the spatial locations of the plurality of communication sites and the signal dimensions that the plurality of communication sites are responsible for; S115: Collect multiple environmental parameters based on environmental detection of the spatial locations where multiple communication sites are located, and construct corresponding communication scenarios according to the multiple environmental parameters and the spatial locations where the multiple communication sites are located; associate the communication scenario, the second spatial coefficient, and the first spatial coefficient to construct a signal communication space.

[0024] In an embodiment of the present application, the spatial positions of multiple communication sites are collected, and the spatial positions of the multiple communication sites are controlled. The spatial positions of the multiple communication sites, the multiple communication site models, and the signal dimensions that the multiple communication sites are responsible for are introduced to facilitate the association of the spatial positions of the multiple communication sites, the multiple communication site models, and the signal dimensions that the multiple communication sites are responsible for. It is compatible with the overall consideration of the spatial positions of the multiple communication sites, the multiple communication site models, and the signal dimensions that the multiple communication sites are responsible for, and realizes multi-dimensional interaction of the spatial positions of the multiple communication sites, the multiple communication site models, and the signal dimensions that the multiple communication sites are responsible for.

[0025] Therefore, the first spatial coefficient is defined according to the spatial locations of the multiple communication sites and the models of the multiple communication sites, which is compatible with the overall consideration of the spatial locations of the multiple communication sites and the models of the multiple communication sites, realizes the interaction of the spatial locations of the multiple communication sites and the models of the multiple communication sites, and ensures the accuracy of the first spatial coefficient.

[0026] At the same time, the second spatial coefficient is defined according to the spatial positions of the multiple communication sites and the signal dimensions that the multiple communication sites are responsible for, which is compatible with the overall consideration of the spatial positions of the multiple communication sites and the signal dimensions that the multiple communication sites are responsible for, realizes the interaction of the spatial positions of the multiple communication sites and the signal dimensions that the multiple communication sites are responsible for, and ensures the accuracy of the second spatial coefficient.

[0027] Therefore, the spatial positions of multiple communication sites are collected, and the spatial positions of the multiple communication sites are further controlled, so as to collect multiple environmental parameters based on environmental detection of the spatial positions of the multiple communication sites, and construct corresponding communication scenarios according to the multiple environmental parameters and the spatial positions of the multiple communication sites; the communication scenario, the second spatial coefficient and the first spatial coefficient are associated to construct a signal communication space, thereby realizing multi-dimensional control of the communication scenario, the second spatial coefficient and the first spatial coefficient, and ensuring the rationality and accuracy of the signal communication space.

[0028] refer to Figure 3 , in step S12, the corresponding signal combination is determined based on the positioning detection of each communication node according to the communication node corresponding to the signal communication space mark; In the specific implementation process of the present invention, the specific steps may be: S121: Freeze signal communication space; S122: collecting multiple communication nodes based on the spatial traversal of the signal communication space; S123: Dynamically marking based on the signal communication space and the plurality of communication nodes to present each communication node in the signal communication space; S124: defining a corresponding detection method based on the node position of each communication node, the communication direction between each communication node, and the corresponding communication level; S125: triggering positioning detection of each communication node based on the detection method; S126: Collect corresponding communication signals according to the positioning detection of each communication node, and determine a corresponding signal combination based on multiple communication signals, corresponding communication nodes and response information of the communication signals.

[0029] In an embodiment of the present application, the signal communication space is frozen, and the signal communication space is controlled, thereby performing spatial traversal of the signal communication space, and then multiple communication nodes are collected based on the spatial traversal of the signal communication space, multiple communication nodes are introduced, and the control of multiple communication nodes is achieved, thereby ensuring further processing of multiple communication nodes.

[0030] Furthermore, dynamic marking is performed based on the signal communication space and multiple communication nodes to present each communication node in the signal communication space, and each communication node is managed and controlled. Based on the node position of each communication node, the communication direction between each communication node, and the corresponding communication level, a corresponding detection method is defined. This is compatible with the overall consideration of the node position of each communication node, the communication direction between each communication node, and the corresponding communication level, and realizes multi-dimensional consideration of the node position of each communication node, the communication direction between each communication node, and the corresponding communication level, thereby ensuring the accuracy of the detection method.

[0031] Therefore, based on the detection method, the positioning detection of each communication node is triggered, and the positioning detection of each communication node is managed and controlled, so that the corresponding communication signals are collected according to the positioning detection of each communication node, and the corresponding signal combination is determined based on multiple communication signals, corresponding communication nodes and response information of communication signals. Multiple communication signals, corresponding communication nodes and response information of communication signals are introduced, and multi-dimensional control of multiple communication signals, corresponding communication nodes and response information of communication signals is realized, thereby ensuring the rationality and accuracy of each signal combination.

[0032] refer to Figure 4 , in step S13, in the floor cleaning space, the interference signal of each communication node is defined based on the dynamic interaction of multiple signal combinations, interference troubleshooting of multiple signal combinations, and abnormal dimensions of the signal communication space; In the specific implementation process of the present invention, the specific steps may be: S131: Collect multiple signal combinations; S132: triggering dynamic interaction of multiple signal combinations based on the multiple signal combinations, corresponding load amounts, and interaction directions of each communication node; S133: triggering corresponding interference troubleshooting based on multiple signal combinations, and defining corresponding troubleshooting levels in the interference troubleshooting, while monitoring abnormal dimensions of the signal communication space in real time; S134: Dynamic interaction of multiple signal combinations, troubleshooting levels, and abnormal dimensions of signal communication space; S135: Define the interference signal of each communication node according to the dynamic interaction of multiple signal combinations, the troubleshooting level and the abnormal dimension of the signal communication space. At this time, there are multiple interference signals, and the multiple interference signals are distributed in different dimensions of the multiple signal combinations, and are classified and controlled in the signal communication space.

[0033] In an embodiment of the present application, multiple signal combinations are collected and overall control is performed on the multiple signal combinations, so as to trigger dynamic interaction of the multiple signal combinations based on the multiple signal combinations, the corresponding load amounts, and the interaction directions of the various communication nodes. Multiple signal combinations, the corresponding load amounts, and the interaction directions of the various communication nodes are introduced, and multi-dimensional control of the multiple signal combinations, the corresponding load amounts, and the interaction directions of the various communication nodes is achieved, thereby ensuring the dynamic triggering of the dynamic interaction of the multiple signal combinations.

[0034] Furthermore, corresponding interference troubleshooting is triggered based on multiple signal combinations, and corresponding troubleshooting levels are defined in the interference troubleshooting. At the same time, the abnormal dimensions of the signal communication space are monitored in real time, and the dynamic interactions, troubleshooting levels and abnormal dimensions of the signal communication space of multiple signal combinations are introduced, thereby associating the dynamic interactions, troubleshooting levels and abnormal dimensions of the signal communication space of multiple signal combinations, thereby realizing multi-dimensional control of the dynamic interactions, troubleshooting levels and abnormal dimensions of the signal communication space of multiple signal combinations.

[0035] Therefore, the interference signal of each communication node is defined according to the dynamic interaction, troubleshooting level and abnormal dimension of the signal communication space of multiple signal combinations. At this time, there are multiple interference signals, and the multiple interference signals are distributed in different dimensions of multiple signal combinations, and are classified and controlled in the signal communication space. It is compatible with the dynamic interaction, troubleshooting level and abnormal dimension of the signal communication space of multiple signal combinations, and realizes the overall control of the dynamic interaction, troubleshooting level and abnormal dimension of the signal communication space of multiple signal combinations, ensuring the detection accuracy of the interference signal of each communication node.

[0036] refer to Figure 5 , S14: forming an interference set based on the interference signals of each communication node, and determining a corresponding interference dimension according to the identification of the interference set; In the specific implementation process of the present invention, the specific steps may be: S141: freeze the interference signal of each communication node; S142: forming an interference set based on the dynamic interaction of interference signals of each communication node. At this time, ranking each interference signal in the interference set is performed, and the interference level of each interference signal is compatible; S143: Matching the corresponding interference identification model according to the interference set, and associating the interference set and the corresponding interference identification model; S144: Determine a corresponding interference dimension according to the interference set and the interference identification model.

[0037] In an embodiment of the present application, a signal communication space is constructed based on the spatial locations of multiple communication sites, multiple communication site models, and signal dimensions that the multiple communication sites are responsible for; communication nodes corresponding to the signal communication space are marked, and corresponding signal combinations are determined based on positioning detection of each communication node; interference signals of each communication node are defined based on dynamic interaction of multiple signal combinations, interference troubleshooting of multiple signal combinations, and abnormal dimensions of the signal communication space; interference sets are formed based on the interference signals of each communication node, and corresponding interference dimensions are determined based on the identification of the interference sets, so as to be compatible with the dynamic interaction of multiple signal combinations, interference troubleshooting of multiple signal combinations, and overall consideration of abnormal dimensions of the signal communication space, thereby ensuring the accuracy of the interference signal and further accurately controlling the interference dimension of the interference signal.

[0038] At this time, the interference signals of each communication node are frozen and controlled, so as to form an interference set based on the dynamic interaction of the interference signals of each communication node. At this time, each interference signal is ranked in the interference set, and the interference level of each interference signal is compatible.

[0039] Furthermore, according to the interference set matching corresponding interference identification model, the interference set and the corresponding interference identification model are associated, and the interference set and the corresponding interference identification model are managed and controlled as a whole, so as to determine the corresponding interference dimension according to the identification of the interference set and the interference identification model, introduce the interference dimension, and ensure the accuracy of the interference dimension. At the same time, it is compatible with the dynamic interaction of multiple signal combinations, the interference troubleshooting of multiple signal combinations, and the overall consideration of the abnormal dimension of the signal communication space, which ensures the accuracy of the interference signal, and then accurately controls the interference dimension of the interference signal.

[0040] refer to Figure 6 , S15: matching corresponding interference events based on the signal dimensions of each communication node, the actual model of each communication node and each interference dimension, and building a corresponding interference optimization model according to the interference events, interference levels and the collaborative relationship of each communication node; In the specific implementation process of the present invention, the specific steps may be: S151: In the signal communication space, freeze each interference dimension; S152: Each interference dimension is associated with a signal dimension of each communication node and an actual model of each communication node; S153: defining a plurality of event factors according to the multi-dimensional interaction of each interference dimension, the signal dimension of each communication node, and the actual model of each communication node, and matching corresponding interference events according to the signal communication space, each communication node, and the plurality of event factors; S154: defining corresponding collaborative relationships based on the interaction of each communication node and the construction of a signal channel; S155: Correlate interference events, interference levels, and coordination relationships among various communication nodes; S156: Construct a corresponding interference optimization model based on interference events, interference levels and the collaborative relationship between each communication node. At this time, the interference optimization model is associated with the communication scenario of the signal communication space, and defines corresponding change factors as the communication scenario changes, and triggers dynamic changes of the interference optimization model according to the change factors.

[0041] In an embodiment of the present application, each interference dimension is frozen in the signal communication space; each interference dimension is associated with the signal dimension of each communication node and the actual model of each communication node, so as to facilitate multi-dimensional interaction of each interference dimension, the signal dimension of each communication node and the actual model of each communication node.

[0042] Therefore, multiple event factors are defined based on the multi-dimensional interaction of each interference dimension, the signal dimension of each communication node, and the actual model of each communication node. The corresponding interference events are matched according to the signal communication space, each communication node, and multiple event factors. Multi-dimensional matching of the signal communication space, each communication node, and multiple event factors is achieved. The signal communication space, each communication node, and multiple event factors are considered as a whole, which ensures the intelligent matching of interference events and thus ensures the accuracy of interference events.

[0043] Furthermore, a corresponding collaborative relationship is defined based on the interaction of each communication node and the construction of a signal channel, a collaborative relationship between each communication node is introduced, and functional assistance between each communication node is presented for the collaborative relationship.

[0044] Therefore, the interference events, interference levels and the collaborative relationship of each communication node are associated; based on the interference events, interference levels and the collaborative relationship of each communication node, a corresponding interference optimization model is constructed. At this time, the interference optimization model is associated with the communication scenario of the signal communication space, and corresponding changing factors are defined as the communication scenario changes. The dynamic changes of the interference optimization model are triggered according to the changing factors, thereby ensuring the accuracy of the interference optimization model. At the same time, the influence of the communication scenario of the signal communication space on the interference optimization model is introduced, and the application of the interference optimization model in different scenarios is controlled.

[0045] refer to Figure 7 , S16: Associating the interference signal with the interference optimization model, dynamically optimizing each communication node based on the interference optimization model and the real-time interference signal, triggering the corresponding progress balancing logic based on the optimization progress of each communication node and the communication progress of each communication node, so as to dynamically control the signal interference of multiple communication sites; In the specific implementation process of the present invention, the specific steps may be: S161: real-time collection of interference signals; S162: Correlate the interference signal and the interference optimization model, and monitor the communication status of each communication node in real time; S163: triggering each communication node to perform dynamic optimization based on the interference optimization model, the communication status of each communication node, and the real-time interference signal, and performing multi-level optimization on each real-time interference signal; S164: Dynamically interacting the optimization progress of each communication node and the communication progress of each communication node; S165: triggering corresponding progress balancing logic based on the optimization progress of each communication node and the communication progress of each communication node; S166: Dynamically manage signal interference at multiple communication sites based on progress balancing logic.

[0046] In the specific implementation process of the present invention, based on the signal dimension of each communication node, the actual model of each communication node and each interference dimension matching corresponding interference events, a corresponding interference optimization model is constructed according to the interference events, interference levels and the collaborative relationship of each communication node; the interference signal and the interference optimization model are associated, and each communication node is dynamically optimized based on the interference optimization model and the real-time interference signal, and the corresponding progress balance logic is triggered based on the optimization progress of each communication node and the communication progress of each communication node, so as to dynamically manage and control the signal interference of multiple communication sites, ensure the dynamic optimization of each interference signal by multiple communication sites in the working state, reduce the interference effect of the interference signal on multiple communication sites, ensure the optimization progress of each communication node and the dynamic balance of the communication progress of each communication node, and thus ensure the dynamic communication effect of multiple communication sites.

[0047] At this time, interference signals are collected in real time and controlled. Interference signals and interference optimization models are introduced to associate the interference signals and the interference optimization model, and the communication status of each communication node is monitored in real time to facilitate dynamic interaction with the interference optimization model, the communication status of each communication node and the real-time interference signal.

[0048] Therefore, based on the interference optimization model, the communication status of each communication node and the real-time interference signal, each communication node is triggered to perform dynamic optimization, and each real-time interference signal is optimized at a multi-level, and each real-time interference signal is optimized at a multi-level. Multi-level optimization of each real-time interference signal is introduced to achieve further control of each real-time interference signal. At the same time, the optimization progress of each communication node and the communication progress of each communication node are dynamically interacted; based on the optimization progress of each communication node and the communication progress of each communication node, the corresponding progress balance logic is triggered; according to the progress balance logic, the signal interference of multiple communication sites is dynamically controlled, ensuring the dynamic optimization of each interference signal by multiple communication sites in the working state, so as to reduce the interference effect of the interference signal on multiple communication sites, ensuring the optimization progress of each communication node and the dynamic balance of the communication progress of each communication node, and thus ensuring the dynamic communication effect of multiple communication sites.

[0049] In an embodiment of the present invention, through the method in the embodiment of the present invention, a signal communication space is constructed based on the spatial positions of multiple communication sites, multiple communication site models, and signal dimensions that the multiple communication sites are responsible for; according to the communication nodes corresponding to the signal communication space markers, the corresponding signal combinations are determined based on the positioning detection of each communication node; based on the dynamic interaction of multiple signal combinations, interference troubleshooting of multiple signal combinations, and abnormal dimensions of the signal communication space, the interference signals of each communication node are defined; based on the interference signals of each communication node, an interference set is formed, and according to the identification of the interference set, the corresponding interference dimension is determined, so as to be compatible with the dynamic interaction of multiple signal combinations, interference troubleshooting of multiple signal combinations, and the overall consideration of the abnormal dimensions of the signal communication space, thereby ensuring the accuracy of the interference signal and further accurately controlling the interference dimension of the interference signal.

[0050] Furthermore, based on the signal dimension of each communication node, the actual model of each communication node and each interference dimension matching corresponding interference events, a corresponding interference optimization model is constructed according to the interference events, interference levels and the collaborative relationship of each communication node; the interference signal and the interference optimization model are associated, and each communication node is dynamically optimized based on the interference optimization model and the real-time interference signal, and the corresponding progress balance logic is triggered based on the optimization progress of each communication node and the communication progress of each communication node, so as to dynamically manage and control the signal interference of multiple communication sites, ensure the dynamic optimization of each interference signal by multiple communication sites in the working state, reduce the interference effect of the interference signal on multiple communication sites, ensure the optimization progress of each communication node and the dynamic balance of the communication progress of each communication node, and thus ensure the dynamic communication effect of multiple communication sites.

[0051] See also Figure 8 , Figure 8 It is a schematic diagram of the structural composition of a signal interference system for multiple communication sites in an embodiment of the present invention.

[0052] like Figure 8 As shown, a signal jamming system for multiple communication sites, the signal jamming system for multiple communication sites comprises: A signal communication space module 21 is used to construct a signal communication space based on the spatial locations of multiple communication sites, multiple communication site models, and signal dimensions that the multiple communication sites are responsible for; A signal combination module 22, for determining a corresponding signal combination based on the positioning detection of each communication node according to the communication node corresponding to the signal communication space mark; An interference signal module 23, used to define interference signals of each communication node based on dynamic interaction of multiple signal combinations, interference troubleshooting of multiple signal combinations, and abnormal dimensions of signal communication space; An interference dimension module 24, configured to form an interference set based on interference signals of each communication node, and determine a corresponding interference dimension according to the identification of the interference set; The interference optimization model module 25 is used to match the corresponding interference events based on the signal dimension of each communication node, the actual model of each communication node and each interference dimension, and to build a corresponding interference optimization model according to the interference event, the interference level and the cooperative relationship of each communication node; The dynamic optimization module 26 is used to associate interference signals and interference optimization models, dynamically optimize each communication node based on the interference optimization model and real-time interference signals, and trigger corresponding progress balancing logic based on the optimization progress of each communication node and the communication progress of each communication node to dynamically control the signal interference of multiple communication sites.

[0053] See also Fig. 9 , refer to the following Fig. 9 The electronic device 40 according to this embodiment of the present invention will be described. Fig. 9 The electronic device 40 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0054] like Fig. 9 As shown, the electronic device 40 is in the form of a general computing device. The components of the electronic device 40 may include but are not limited to: at least one processing unit 41, at least one storage unit 42, and a bus 43 connecting different system components (including the storage unit 42 and the processing unit 41).

[0055] The storage unit stores program codes, which can be executed by the processing unit 41, so that the processing unit 41 executes the steps according to various exemplary embodiments of the present invention described in the above “Embodiment Method” section of this specification.

[0056] The storage unit 42 may include a readable medium in the form of a volatile storage unit, such as a random access memory unit (RAM) 421 and / or a cache memory unit 422 , and may further include a read-only memory unit (ROM) 423 .

[0057] The storage unit 42 may also include a program / utility 424 having a set (at least one) of program modules 425, such program modules 425 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0058] Bus 43 may represent one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

[0059] The electronic device 40 may also communicate with one or more external devices (e.g., keyboards, pointing devices, Bluetooth devices, etc.), one or more devices that enable a user to interact with the electronic device 40, and / or any device that enables the electronic device 40 to communicate with one or more other computing devices (e.g., routers, modems, etc.). Such communication may be performed via an input / output (I / O) interface 44. Furthermore, the electronic device 40 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 45. Fig. 9 As shown, the network adapter 45 communicates with other modules of the electronic device 40 via the bus 43. It should be understood that although Fig. 9 Not shown, other hardware and / or software modules may be used in conjunction with the electronic device 40, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup planning systems.

[0060] Through the description of the above implementation, it is easy for those skilled in the art to understand that the example implementation described here can be implemented by software, or by software combined with necessary hardware. Therefore, the technical solution according to the implementation of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, including several instructions to enable a computing device (which can be a personal computer, a server, a multi-parameter sensor device, or a network device, etc.) to execute the method according to the implementation of the present disclosure.

[0061] Those skilled in the art can understand that all or some of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium, and the storage medium can include: a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, etc. In addition, it stores computer program instructions, and when the computer program instructions are executed by a computer, the computer executes the above method.

[0062] In addition, the signal interference method and system for multiple communication sites provided in the embodiments of the present invention are introduced in detail above. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. For those skilled in the art, according to the ideas of the present invention, there will be changes in the specific implementation methods and application scopes. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A signal interference method for multiple communication sites, characterized in that: Applicable to indoor scenarios where signals from multiple communication sites interfere with each other; The signal interference method of the plurality of communication sites comprises: Constructing a signal communication space based on the spatial locations of multiple communication sites, multiple communication site models, and signal dimensions that the multiple communication sites are responsible for; According to the communication nodes corresponding to the signal communication space marks, the corresponding signal combination is determined based on the positioning detection of each communication node; Define the interference signals of each communication node based on the dynamic interaction of multiple signal combinations, interference troubleshooting of multiple signal combinations, and abnormal dimensions of signal communication space; An interference set is formed based on interference signals of each communication node, and a corresponding interference dimension is determined according to the identification of the interference set; Based on the signal dimension of each communication node, the actual model of each communication node and each interference dimension matching the corresponding interference event, the corresponding interference optimization model is constructed according to the interference event, the interference level and the collaborative relationship of each communication node; Associate interference signals and interference optimization models, dynamically optimize each communication node based on the interference optimization model and real-time interference signals, trigger corresponding progress balancing logic based on the optimization progress of each communication node and the communication progress of each communication node, so as to dynamically control the signal interference of multiple communication sites.

2. The signal interference method of multiple communication sites according to claim 1, characterized in that: The signal communication space is constructed based on the spatial locations of the multiple communication sites, the multiple communication site models, and the signal dimensions that the multiple communication sites are responsible for, including: Collect the spatial locations of multiple communication sites; Associating the spatial locations of multiple communication sites, multiple communication site models, and signal dimensions that the multiple communication sites are responsible for; defining a first spatial coefficient according to the spatial locations of the plurality of communication sites and the models of the plurality of communication sites; defining a second spatial coefficient according to the spatial locations of the plurality of communication sites and the signal dimensions that the plurality of communication sites are responsible for; Based on environmental detection of the spatial locations of multiple communication sites, multiple environmental parameters are collected, and corresponding communication scenarios are constructed according to the multiple environmental parameters and the spatial locations of the multiple communication sites; the communication scenario, the second spatial coefficient and the first spatial coefficient are associated to construct a signal communication space.

3. The signal interference method of multiple communication sites according to claim 2, characterized in that: The method of marking corresponding communication nodes according to the signal communication space and determining corresponding signal combinations based on the positioning detection of each communication node includes: Freeze signal communication space; Collecting a plurality of communication nodes based on spatial traversal of the signal communication space; Dynamically marking based on the signal communication space and multiple communication nodes to present each communication node in the signal communication space; Define corresponding detection methods based on the node positions of each communication node, the communication directions between each communication node, and the corresponding communication levels; Triggering positioning detection of each communication node based on the detection method; The corresponding communication signals are collected according to the positioning detection of each communication node, and the corresponding signal combination is determined based on the plurality of communication signals, the corresponding communication nodes and the response information of the communication signals.

4. The signal interference method of multiple communication sites according to claim 3, characterized in that: The dynamic interaction of multiple signal combinations, interference troubleshooting of multiple signal combinations, and abnormal dimensions of signal communication space define interference signals of each communication node, including: Collect multiple signal combinations; Triggering dynamic interaction of multiple signal combinations based on multiple signal combinations, corresponding load amounts, and interaction directions of each communication node; Trigger corresponding interference troubleshooting based on multiple signal combinations, define corresponding troubleshooting levels in the interference troubleshooting, and monitor abnormal dimensions of the signal communication space in real time; Correlate the dynamic interactions of multiple signal combinations, troubleshooting levels, and anomaly dimensions of signal communication space; The interference signal of each communication node is defined according to the dynamic interaction of multiple signal combinations, the troubleshooting level and the abnormal dimension of the signal communication space. At this time, there are multiple interference signals, and the multiple interference signals are distributed in different dimensions of multiple signal combinations and are classified and controlled in the signal communication space.

5. The signal interference method of multiple communication sites according to claim 4, characterized in that: The forming of an interference set based on interference signals of each communication node and determining a corresponding interference dimension according to identification of the interference set includes: Freeze the interference signals of each communication node; An interference set is formed based on the dynamic interaction of interference signals of each communication node. At this time, each interference signal is ranked in the interference set, and the interference level of each interference signal is compatible; Matching a corresponding interference identification model according to the interference set, associating the interference set and the corresponding interference identification model; The corresponding interference dimension is determined according to the interference set and the identification of the interference identification model.

6. The signal interference method of multiple communication sites according to claim 5, characterized in that: The method of matching the corresponding interference events based on the signal dimension of each communication node, the actual model of each communication node and each interference dimension, and constructing the corresponding interference optimization model according to the interference events, the interference level and the cooperative relationship of each communication node includes: In this signal communication space, freeze each interference dimension; Each interference dimension is associated with the signal dimension of each communication node and the actual model of each communication node; Multiple event factors are defined according to the multi-dimensional interaction of each interference dimension, the signal dimension of each communication node and the actual model of each communication node, and corresponding interference events are matched according to the signal communication space, each communication node and the multiple event factors.

7. The signal interference method of multiple communication sites according to claim 6, characterized in that: The method of matching corresponding interference events based on the signal dimensions of each communication node, the actual model of each communication node and each interference dimension, and constructing a corresponding interference optimization model according to the interference events, interference levels and the collaborative relationship of each communication node, further includes: Define the corresponding collaborative relationship based on the interaction of each communication node and the construction of the signal channel; Correlate interference events, interference levels, and the coordination relationships of various communication nodes; A corresponding interference optimization model is constructed based on interference events, interference levels and the collaborative relationship between various communication nodes. At this time, the interference optimization model is associated with the communication scenario of the signal communication space, and corresponding change factors are defined as the communication scenario changes, and the dynamic changes of the interference optimization model are triggered according to the change factors.

8. The signal interference method of multiple communication stations according to claim 7, characterized in that: The associated interference signal and the interference optimization model dynamically optimize each communication node based on the interference optimization model and the real-time interference signal, trigger the corresponding progress balance logic based on the optimization progress of each communication node and the communication progress of each communication node, so as to dynamically control the signal interference of multiple communication sites, including: Collect interference signals in real time; Correlate interference signals and interference optimization models, and monitor the communication status of each communication node in real time; Based on the interference optimization model, the communication status of each communication node and the real-time interference signal, each communication node is triggered to perform dynamic optimization, and each real-time interference signal is optimized at multiple levels.

9. The signal interference method of multiple communication sites according to claim 8, characterized in that: The associated interference signal and the interference optimization model, dynamically optimizing each communication node based on the interference optimization model and the real-time interference signal, triggering the corresponding progress balancing logic based on the optimization progress of each communication node and the communication progress of each communication node, so as to dynamically control the signal interference of multiple communication sites, also includes: Dynamically interact with the optimization progress of each communication node and the communication progress of each communication node; The corresponding progress balancing logic is triggered based on the optimization progress of each communication node and the communication progress of each communication node; Dynamically manage signal interference at multiple communication sites based on progress balancing logic.

10. A signal jamming system for multiple communication sites, characterized in that: The signal interference system of multiple communication sites is applied to the signal interference method of multiple communication sites as claimed in any one of claims 1 to 9, and the signal interference system of multiple communication sites includes: A signal communication space module is used to construct a signal communication space based on the spatial locations of multiple communication sites, multiple communication site models, and signal dimensions that the multiple communication sites are responsible for; A signal combination module, used to mark the corresponding communication nodes according to the signal communication space, and determine the corresponding signal combination based on the positioning detection of each communication node; Interference signal module, used to define the interference signal of each communication node based on the dynamic interaction of multiple signal combinations, interference troubleshooting of multiple signal combinations, and abnormal dimensions of signal communication space; An interference dimension module, used to form an interference set based on interference signals of each communication node, and determine a corresponding interference dimension according to the identification of the interference set; The interference optimization model module is used to match the corresponding interference events based on the signal dimensions of each communication node, the actual model of each communication node and each interference dimension, and to build the corresponding interference optimization model according to the interference events, interference levels and the collaborative relationship of each communication node; The dynamic optimization module is used to associate interference signals and interference optimization models, dynamically optimize each communication node based on the interference optimization model and real-time interference signals, and trigger the corresponding progress balance logic based on the optimization progress of each communication node and the communication progress of each communication node, so as to dynamically control the signal interference of multiple communication sites.

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