Mechanical overall design method for multifunctional intelligent control LED street lamp

Abstract

The invention discloses a mechanical overall design method for a multifunctional intelligent control LED street lamp, and the method comprises the following steps: S1, dividing an LED street lamp into a plurality of functional modules, and forming a physical structure configuration result of the functional modules; s2, generating a membrane structure mapping model based on a physical structure configuration result of the functional module; s3, forming an intra-membrane control rule configuration set based on the membrane structure mapping model; s4, collecting external environment data, and generating a perception input data set; s5, inputting the sensing input data set into the environment sensing membrane unit to form a state object set; s6, inputting the state object set into the functional membrane unit, and generating a control behavior instruction set; s7, setting membrane structure expansion conditions, and generating an updated membrane structure mapping model; and S8, loading the membrane structure mapping model to an edge control unit, and executing reasoning and control instruction issuing. According to the invention, a membrane calculation structure mapping and rule reasoning mechanism is adopted to realize multifunctional intelligent control of the LED street lamp.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent lighting control, and in particular to a method for designing an integrated mechanical structure of a multifunctional intelligently controlled LED street lamp. Background Art

[0002] As cities continue to advance in intelligent urban development, LED streetlights, as a crucial component of urban infrastructure, have evolved from traditional lighting fixtures into integrated systems for lighting, sensing, communication, monitoring, and emergency response. Multifunctional LED streetlight systems utilize embedded control units to centrally manage various functional modules. While achieving urban energy conservation and consumption reduction goals, they also play a key role in edge sensing and collaborative collaboration in smart cities. With the widespread application of sensor technology, wireless communications, and edge computing, existing intelligent streetlight systems typically utilize centralized control architectures, modular logic judgment, or rule-based policy configuration to collect and respond to data on light intensity, environmental conditions, and pedestrian density.

[0003] In the prior art, control design methods for multifunctional LED streetlights mainly revolve around module function access, control logic setting, and signal transmission path configuration. Each functional module, such as the lighting unit, environmental perception unit, video surveillance unit, and broadcasting unit, is often a relatively independent component, and is scheduled by the central controller through conditional judgment logic or state machine structure. Although the above solution has a certain degree of modularity and functional combinability, with the increase in the number of functions and the complexity of the control logic, its internal control structure faces problems such as high coupling, difficult maintenance, and poor scalability. For example, when a new functional module needs to be added or the existing control logic needs to be adjusted, the entire control framework often needs to be recoded and integrated tested, affecting system stability and deployment efficiency.

[0004] Furthermore, existing control methods often implement linkages between multifunctional modules through static, preset parameter threshold triggering mechanisms, lacking dynamic modeling and dissemination control mechanisms for state information. This makes it difficult for control systems to flexibly determine priorities and behavioral dependencies in multi-module collaborative scenarios, such as complex actions triggered by low light and heavy traffic, such as lighting enhancement and video activation. This can easily lead to response lags or resource allocation conflicts. Furthermore, the control logic and physical structure are typically loosely coupled, making it impossible to establish a unified control model based on structural mapping, hindering the construction of an evolvable control architecture.

[0005] Traditional approaches to expressing control rules primarily rely on event-driven judgment logic or centralized state machine systems, lacking the ability to systematically model control information flows, module behaviors, and inter-module relationships. Control signals often rely on a limited set of rules to trigger preset actions, making it difficult to handle the demands of multi-state combinations, multi-function integration, and control flow path evolution. Faced with the highly integrated and complex deployment environments of new LED streetlight systems, existing approaches still lack the modeling accuracy of system architecture, the propagation mechanism of control information, and the scalability of control behaviors.

[0006] In summary, the existing control design methods for multifunctional LED street lights have obvious limitations in module structure mapping, control rule modeling, system expansion mechanism, and linkage behavior expression, making it difficult to meet the requirements for combinable, scalable, and evolvable control logic in future smart city lighting systems.

[0007] Therefore, how to provide a multifunctional intelligent control LED street lamp mechanical overall design method is a problem that technical personnel in this field urgently need to solve. Summary of the Invention

[0008] One purpose of the present invention is to propose a method for the overall mechanical design of a multifunctional intelligent control LED street lamp. The present invention introduces a membrane computing model to perform structural mapping and parallel control modeling on the lighting module, environmental perception module, video monitoring module, emergency broadcast module and power supply management module in the LED street lamp. The present invention describes in detail the entire process of driving the coordinated response of various functional modules through object generation, state propagation and rule reasoning. The method has the advantages of clear control structure, convenient module expansion and high system linkage efficiency.

[0009] A multifunctional intelligent control LED street lamp mechanical overall design method according to an embodiment of the present invention includes the following steps:

[0010] S1. Divide the LED street light into multiple functional modules, and set corresponding functional areas in the street light body structure according to the functional modules to form a physical structure configuration result of the functional modules;

[0011] S2. Based on the physical structure configuration results of the functional modules, a membrane calculation structure model is constructed, each functional module is mapped to a corresponding membrane unit, the nesting relationship and communication structure between the membrane units are defined, and a membrane structure mapping model is generated;

[0012] S3. Based on the membrane structure mapping model, configuring an object set and a rule set for each membrane unit to form an intra-membrane control rule configuration set;

[0013] S4, collecting external environment data through the environment perception module to generate a perception input data set;

[0014] S5, inputting the perception input data set into the environment perception membrane unit in the membrane structure, generating state objects according to the configuration set of control rules in the membrane, and forming a state object set;

[0015] S6. Input the state object set into the functional membrane unit, perform reasoning based on the control rule configuration set within the membrane, generate a control behavior instruction set, and convert it into instructions executable by the functional module;

[0016] S7. Setting the membrane structure expansion conditions. If the expansion requirements are met, adding membrane units, communication relationships and rules to generate an updated membrane structure mapping model.

[0017] S8. Load the updated membrane structure mapping model and the membrane control rule configuration set into the edge control unit, execute reasoning and control instructions, and realize the multifunctional control execution process of the LED street lamp.

[0018] Optionally, the S1 specifically includes:

[0019] S11. Determine a set of functional requirements based on the street lamp application scenario, where the set of functional requirements includes lighting requirements, environmental monitoring requirements, video surveillance requirements, emergency broadcasting requirements, and energy management requirements;

[0020] S12. Divide the LED street lights into corresponding functional modules according to the functional requirements, wherein the functional modules include a lighting module, an environmental perception module, a video monitoring module, an emergency broadcast module, and a power supply management module;

[0021] S13. Design a corresponding physical installation structure and spatial layout structure for each functional module. The physical installation structure includes a module housing, a support bracket, an electrical interface, and a heat dissipation unit. The spatial layout structure is partitioned according to heat source distribution, power supply path, and signal wiring scheme.

[0022] S14, setting the initial corresponding relationship between each functional module and membrane structure mapping, the corresponding relationship is expressed as Among them, M is the set of functional modules, Π is the set of membrane units, is a mapping function used to transform each functional module m i ∈M uniquely maps to the corresponding membrane unit π i ∈Π, satisfying: Make

[0023] S15. Based on physical installation structure and mapping function Complete the physical structure configuration of the functional modules of the LED street light and form the physical structure configuration result of the functional modules.

[0024] Optionally, the S2 specifically includes:

[0025] S21. According to the physical structure configuration result of the functional module, a top-level unit π0 of the membrane structure is set. The top-level unit corresponds to the main control unit and is used to accommodate all functional membrane units and realize inter-membrane coordination and information scheduling;

[0026] S22, for each functional module m i , according to the mapping function Create the corresponding membrane unit π i All functional membrane units are placed in the nested structure of the top-level main control membrane unit, so that each functional membrane unit except the main control membrane unit exists as a direct sub-membrane unit of the main control membrane unit;

[0027] S23, for each membrane unit π i Assign structural roles, including: lighting control film, environmental perception film, video monitoring film, broadcast response film and power management film, which correspond to the lighting module, environmental perception module, video monitoring module, emergency broadcast module and power management module in the LED street lamp respectively;

[0028] S24, set the inter-membrane communication edge set E, where the communication edge represents the control object transfer path between membrane units, and construct a membrane communication graph G = (Π, E), where the edge (π i ,π j )∈E represents the membrane unit π i Objects can be sent to membrane unit π j ;

[0029] S25, for each membrane unit π i Assign a local port set, the local port set is used to receive and send control objects, wherein the membrane unit π i Each port p in ij Corresponding to a communication connection relationship (π i ,π j );

[0030] S26. Integrate the top membrane structure π0, the membrane unit set Π, the inter-membrane communication graph G=(Π,E), the membrane role definition and the port configuration results to generate a membrane structure mapping model as the output of the membrane calculation structure model.

[0031] Optionally, the S3 specifically includes:

[0032] S31, for each membrane unit π i Configuration object collection The object set includes an environment perception object, a state judgment object, a behavior trigger object and a module response object, which are used to represent the perception input, state conversion and control execution process of the functional module mapped by the membrane unit in the LED street light;

[0033] S32, for each membrane unit π i Defining a rule set The rule set includes object generation rules, object conversion rules and object transfer rules;

[0034] S33, object collection and rule sets Binding to form a membrane unit control rule configuration structure, which is used to represent the control logic of each functional module in the membrane computing structure;

[0035] S34. Based on the communication edge set E between each membrane unit in the membrane structure mapping model, corresponding object transfer rules are set for the communication relationship between each membrane unit to ensure that the control object can be effectively transmitted and functionally linked along the communication path;

[0036] S35. The control rule configuration structures of all membrane units are unified and integrated into an intra-membrane control rule configuration set. The intra-membrane control rule configuration set serves as the basis for behavioral modeling of multifunctional LED street lights under the membrane computing structure, supporting lighting adjustment, video monitoring, emergency broadcasting, and energy switching functions.

[0037] Optionally, the rule set includes object generation rules, object conversion rules and object transfer rules;

[0038] The object generation rule generates a new control object in the membrane unit according to the input of the perception module or the default startup condition, that is, in the absence of a preceding object, an initial object with control meaning is directly introduced; the object conversion rule converts an existing object into another control object inside the membrane unit to represent a change in state or an upgrade of an instruction, that is, the conversion is completed according to the properties of the object itself or the conditional trigger mechanism within the membrane unit; the object transfer rule transfers the object in the current membrane unit to other membrane units, that is, keeps the original state of the object unchanged, but sends it from the source membrane to the target membrane unit to complete the cross-module control signal propagation.

[0039] Optionally, the perception input data set includes light intensity, ambient temperature, relative humidity, noise level, air quality index and human activity density.

[0040] Optionally, the S5 specifically includes:

[0041] S51, input the perception input data set into the environment perception membrane unit π env , the membrane unit is based on the control rule set The object generation rules in the object set generating state objects, wherein the state objects include a low light state object, an abnormal temperature state object, an excessively high noise state object, and a crowded state object;

[0042] S52. Within the membrane unit, the state object is upgraded or semantically refined according to the object conversion rules to be converted into a control state object bound to the functional behavior, including a lighting adjustment state object, a video start state object, a broadcast trigger state object, and a power switching state object;

[0043] S53, according to the communication diagram in the membrane structure mapping model, the control state object is transferred from the source membrane unit π according to the object transfer rule. i Transfer to the target membrane unit π j , forming a complete transmembrane object propagation path;

[0044] S54: All control state objects obtained by the interaction of the object generation rule, the object conversion rule, and the object transfer rule constitute a state object set, and the state object set serves as an input object set of the control execution step.

[0045] Optionally, the S6 specifically includes:

[0046] S61, inputting the state object set into the functional membrane units corresponding to the functional modules one by one, the functional membrane units including the lighting control membrane unit, the video surveillance membrane unit, the emergency broadcast membrane unit and the power supply management membrane unit, each functional membrane unit receiving the state object corresponding to the mapped functional module;

[0047] S62: Each functional membrane unit performs an inference and judgment operation on the received state object according to a control inference rule preset in the control rule set of the membrane unit, and generates a control behavior instruction object set, wherein the control behavior instruction object set includes a brightness adjustment instruction object, a camera start instruction object, a broadcast play instruction object, and a power switching instruction object;

[0048] S63, parsing each control behavior instruction object into an execution control instruction that can be directly recognized by the functional module, and sending the execution control instruction to the execution component of the corresponding functional module through the drive interface between the membrane unit and the functional module;

[0049] S64. All execution control instructions generated and issued by the functional membrane units are unified and collected to form a set of control behavior instructions to drive the LED street light system to perform lighting brightness adjustment, video surveillance activation, broadcast playback triggering and energy output adjustment functions.

[0050] Optionally, the S7 specifically includes:

[0051] S71. Based on the control behavior instruction set, a membrane structure expansion condition set Θ is set. The membrane structure expansion condition set includes a membrane structure update operation triggered when any of the following conditions are met: a new functional module needs to be connected to the control process, the behavior logic of an existing functional module is changed, or the control rule set needs to be modified at the structural level based on the feedback mechanism;

[0052] S72. When any condition in the membrane structure expansion condition set Θ is satisfied, construct an expansion membrane unit set Π. * , each membrane unit in the expanded membrane unit set corresponds to a newly added functional module, and a unique membrane identifier is assigned to each newly added membrane unit to generate an updated total membrane unit set Π′;

[0053] S73, is the extended membrane unit set Π * Each membrane unit configuration object collection and rule sets And based on the control interaction relationship between the new functional modules and the original functional modules, the communication edge set E is defined * , the communication edge set E * With the original communication edge set E * Merge to obtain the updated membrane communication graph structure G′;

[0054] S74. Construct a new membrane structure mapping model based on the updated membrane unit set Π′, the communication graph structure G′, the control rule set, and the port set configuration results.

[0055] Optionally, the S8 specifically includes:

[0056] S81, synchronously loading the membrane unit set Π′, the communication graph structure G′, the control rule set and the port set into the edge control unit, and initializing the control task environment;

[0057] S82. Based on the new membrane structure mapping model, perform object reasoning and cross-membrane propagation operations on the state object set from the environmental perception membrane unit, and calculate the control behavior instruction object set according to the rule set in each functional membrane unit, wherein the control behavior instruction object set includes a lighting adjustment object, a monitoring start object, a broadcast control object, and a power management object.

[0058] S83, converting each object in the control behavior instruction object set into a function module driving instruction according to the function module identification code, and generating an execution control instruction set;

[0059] S84. Distribute the execution control instruction set to the control execution interface of each physical functional module through the edge control unit to complete the control execution process of lighting adjustment, video surveillance startup, emergency broadcast playback and power distribution switching in the LED street light system, and form a control execution result based on the membrane computing structure.

[0060] The beneficial effects of the present invention are:

[0061] This paper introduces a membrane computing modeling mechanism to address the problems of existing multifunctional LED streetlight control systems, such as high control structure coupling, inflexible module linkage response, and difficulty updating control logic. This method proposes a comprehensive mechanical design method for multifunctional intelligent control LED streetlights. This method abstractly maps each functional module in an LED streetlight into membrane units, constructing a nested membrane computing model. By defining object sets and rule sets, independent control logic is formed within the modules. Inter-module information propagation paths are established using inter-membrane communication graphs, enabling a distributed collaborative control process for state perception, behavioral decision-making, and control execution.

[0062] The present invention supports multi-level state evolution and control intention transmission from environmental state perception to response by setting object generation rules, object transformation rules, and object transfer rules. The propagation process of control objects in the membrane structure replaces the traditional event-driven linear scheduling method, realizes the parallel propagation and dynamic linkage of states and instructions between multifunctional modules, and improves the control response efficiency and module collaboration accuracy of the system under complex triggering conditions. In addition, the membrane structure expansion mechanism proposed by the present invention supports the dynamic access of functional modules and the structural update of control rules. It can realize the evolution of system structure and functional expansion while meeting control continuity, and enhance the long-term adaptability of the control system.

[0063] By embedding the control logic into the structured membrane computing model, the present invention establishes a one-to-one mapping relationship between the control structure and the physical function module, so that the control behavior can evolve synchronously with the hardware deployment architecture, effectively solving the existing technical pain point that the module update requires the reconstruction of the overall control logic. Combined with the deployment of the edge control platform, the membrane structure model can efficiently perform control reasoning tasks locally, reducing dependence on the central node and improving the real-time and stability of the system operation. Therefore, the present invention has achieved significant improvements in structural modeling, rule-driven, linkage control and scalability compared to traditional methods. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0065] Figure 1 This is a flow chart of a multifunctional intelligent control LED street lamp mechanical overall design method proposed by the present invention;

[0066] Figure 2This is a schematic diagram of the module mapping of the membrane calculation structure model of the multifunctional intelligent control LED street lamp mechanical overall design method proposed in the present invention;

[0067] Figure 3 This is a data flow diagram of the overall mechanical design method for a multifunctional intelligent control LED street lamp proposed in this invention. DETAILED DESCRIPTION

[0068] The present invention will now be described in further detail with reference to the accompanying drawings, which are simplified schematic diagrams that illustrate the basic structure of the present invention in a schematic manner.

[0069] refer to Figure 1-3 A multifunctional intelligent control LED street lamp mechanical overall design method includes the following steps:

[0070] S1. Divide the LED street light into multiple functional modules, and set corresponding functional areas in the street light body structure according to the functional modules to form a physical structure configuration result of the functional modules;

[0071] S2. Based on the physical structure configuration results of the functional modules, a membrane calculation structure model is constructed, each functional module is mapped to a corresponding membrane unit, the nesting relationship and communication structure between the membrane units are defined, and a membrane structure mapping model is generated;

[0072] S3. Based on the membrane structure mapping model, configuring an object set and a rule set for each membrane unit to form an intra-membrane control rule configuration set;

[0073] S4, collecting external environment data through the environment perception module to generate a perception input data set;

[0074] S5, inputting the perception input data set into the environment perception membrane unit in the membrane structure, generating state objects according to the configuration set of control rules in the membrane, and forming a state object set;

[0075] S6. Input the state object set into the functional membrane unit, perform reasoning based on the control rule configuration set within the membrane, generate a control behavior instruction set, and convert it into instructions executable by the functional module;

[0076] S7. Setting the membrane structure expansion conditions. If the expansion requirements are met, adding membrane units, communication relationships and rules to generate an updated membrane structure mapping model.

[0077] S8. Load the updated membrane structure mapping model and the membrane control rule configuration set into the edge control unit, execute reasoning and control instructions, and realize the multifunctional control execution process of the LED street lamp.

[0078] This paper proposes a method for the integrated mechanical design of multifunctional intelligently controlled LED street lamps. By mapping the functional modules of street lamps into membrane units and setting nested structures and communication paths, a membrane structure mapping model with structural hierarchy and information flow characteristics is formed. By combining object set and rule set configuration, state object generation and control instruction reasoning are implemented, supporting lighting adjustment, monitoring activation, broadcast control, and energy supply management functions. Perceived input data and control rules jointly drive the reasoning process, ensuring the accuracy and timeliness of control responses. By setting extension conditions to support the addition and structural update of membrane units, the system possesses excellent functional adaptability and evolutionary capabilities, effectively improving the intelligent control level and deployment flexibility of LED street lamp systems.

[0079] In this embodiment, S1 specifically includes:

[0080] S11. Determine a set of functional requirements based on the street lamp application scenario, where the set of functional requirements includes lighting requirements, environmental monitoring requirements, video surveillance requirements, emergency broadcasting requirements, and energy management requirements;

[0081] S12. Divide the LED street lights into corresponding functional modules according to the functional requirements, wherein the functional modules include a lighting module, an environmental perception module, a video monitoring module, an emergency broadcast module, and a power supply management module;

[0082] S13. Design a corresponding physical installation structure and spatial layout structure for each functional module. The physical installation structure includes a module housing, a support bracket, an electrical interface, and a heat dissipation unit. The spatial layout structure is partitioned according to heat source distribution, power supply path, and signal wiring scheme.

[0083] S14, setting the initial corresponding relationship between each functional module and membrane structure mapping, the corresponding relationship is expressed as Among them, M is the set of functional modules, Π is the set of membrane units, is a mapping function used to transform each functional module m i ∈M uniquely maps to the corresponding membrane unit π i ∈Π, satisfying: π makes

[0084] S15. Based on physical installation structure and mapping function Complete the physical structure configuration of the functional modules of the LED street light and form the physical structure configuration result of the functional modules.

[0085] The present invention combines the multiple functional requirements in the application scenarios of LED street lamps, and constructs an intelligent control method with clear hierarchy, closed control loop and scalability through functional modular design and structural mapping strategy. The system first divides the five functional modules of lighting, environmental perception, video monitoring, emergency broadcasting and power management according to the application scenarios, and designs their corresponding physical installation structures and spatial layouts respectively. The functional module set is mapped to the membrane structure unit set through the mapping function, and a one-to-one correspondence between the functional module and the membrane unit is constructed, wherein the mapping function is used to ensure that each functional module has one and only one corresponding membrane unit. This mapping mechanism realizes the unification of the structural layer and the control logic, so that in the control reasoning process, the system can respond independently according to the membrane unit, realizing module-level linkage and scheduling.

[0086] In this embodiment, S2 specifically includes:

[0087] S21. According to the physical structure configuration result of the functional module, a top-level unit π0 of the membrane structure is set. The top-level unit corresponds to the main control unit and is used to accommodate all functional membrane units and realize inter-membrane coordination and information scheduling;

[0088] S22, for each functional module m i , according to the mapping function Create the corresponding membrane unit π i All functional membrane units are placed in the nested structure of the top-level main control membrane unit, so that each functional membrane unit except the main control membrane unit exists as a direct sub-membrane unit of the main control membrane unit;

[0089] S23, for each membrane unit π i Assign structural roles, including: lighting control film, environmental perception film, video monitoring film, broadcast response film and power management film, which correspond to the lighting module, environmental perception module, video monitoring module, emergency broadcast module and power management module in the LED street lamp respectively;

[0090] S24, set the inter-membrane communication edge set E, where the communication edge represents the control object transfer path between membrane units, and construct a membrane communication graph G = (Π, E), where the edge (π i ,π j )∈E represents the membrane unit π i Objects can be sent to membrane unit π j ;

[0091] S25, for each membrane unit π i Assign a local port set, the local port set is used to receive and send control objects, wherein the membrane unit π i Each port p in ij Corresponding to a communication connection relationship (π i ,πj );

[0092] S26. Integrate the top membrane structure π0, the membrane unit set Π, the inter-membrane communication graph G=(Π,E), the membrane role definition and the port configuration results to generate a membrane structure mapping model as the output of the membrane calculation structure model.

[0093] The present invention establishes a one-to-one correspondence between various functional modules and membrane units in LED streetlights by constructing a membrane structure mapping model. A mapping function is used to map a set of functional modules to a set of membrane units. A set of communication edges is then set to construct an inter-membrane communication graph, where edges in the communication graph represent the transfer of control objects between membrane units. Each membrane unit is assigned a set of local ports for transmitting and receiving control signals. Ultimately, a membrane structure mapping model is generated, comprising a set of membrane units, a communication structure, and a role configuration. This model serves as the input basis for the system control model, enabling logical coupling and visual representation of control information between multiple modules, enhancing the organization of the system structure and the efficiency of deploying control strategies.

[0094] In this embodiment, S3 specifically includes:

[0095] S31, for each membrane unit π i Configuration object collection The object set includes an environment perception object, a state judgment object, a behavior trigger object and a module response object, which are used to represent the perception input, state conversion and control execution process of the functional module mapped by the membrane unit in the LED street light;

[0096] S32, for each membrane unit π i Defining a rule set The rule set includes object generation rules, object conversion rules and object transfer rules;

[0097] S33, object collection and rule sets Binding to form a membrane unit control rule configuration structure, which is used to represent the control logic of each functional module in the membrane computing structure;

[0098] S34. Based on the communication edge set E between each membrane unit in the membrane structure mapping model, corresponding object transfer rules are set for the communication relationship between each membrane unit to ensure that the control object can be effectively transmitted and functionally linked along the communication path;

[0099] S35. The control rule configuration structures of all membrane units are unified and integrated into an intra-membrane control rule configuration set. The intra-membrane control rule configuration set serves as the basis for behavioral modeling of multifunctional LED street lights under the membrane computing structure, supporting lighting adjustment, video monitoring, emergency broadcasting, and energy switching functions.

[0100] The present invention realizes the modeling of the perception input, state transformation and control execution process of the functional module by configuring an object set and a rule set for each membrane unit. The object set includes environmental perception objects, behavior triggering objects and response objects, and the rule set includes object generation, object transformation and object transfer rules. The objects and rules are bound to form a membrane unit control rule configuration structure. Based on the membrane structure mapping model, the object transfer path is set in combination with the communication edge set to effectively ensure the orderly propagation of the control object in the communication path. Finally, a complete membrane control rule configuration set is formed to support the state judgment and regulation execution of each functional module in the LED street lamp, thereby improving the modularization, response efficiency and rule adaptation capability of the control logic.

[0101] In this embodiment, the rule set includes object generation rules, object conversion rules and object transfer rules;

[0102] The object generation rule generates a new control object in the membrane unit according to the input of the perception module or the default startup condition, that is, in the absence of a preceding object, an initial object with control meaning is directly introduced; the object conversion rule converts an existing object into another control object inside the membrane unit to represent a change in state or an upgrade of an instruction, that is, the conversion is completed according to the properties of the object itself or the conditional trigger mechanism within the membrane unit; the object transfer rule transfers the object in the current membrane unit to other membrane units, that is, keeps the original state of the object unchanged, but sends it from the source membrane to the target membrane unit to complete the cross-module control signal propagation.

[0103] The present invention achieves the generation and evolution of control objects within membrane units by constructing a set of rules encompassing object generation, object transformation, and object transfer. Object generation rules are used to create control objects based on sensory input or initial conditions. Object transformation rules are used to complete object state transitions in state updates or control upgrade scenarios. Object transfer rules support the directional transfer of control objects between membrane units. This rule system enables structured modeling of functional module control logic, improving the processing efficiency of multi-source control information and the collaborative response capabilities between modules.

[0104] In this embodiment, the perception input data set includes light intensity, ambient temperature, relative humidity, noise level, air quality index and human activity density.

[0105] The present invention provides comprehensive environmental state input for the membrane unit by constructing a perception input data set including light intensity, ambient temperature, relative humidity, noise level, air quality index and human activity density, thereby improving the accuracy of control object generation and the responsiveness of control rule triggering, and enhancing the environmental adaptability of the system.

[0106] In this embodiment, the S5 specifically includes:

[0107] S51, input the perception input data set into the environment perception membrane unit π env , the membrane unit is based on the control rule set The object generation rules in the object set generating state objects, wherein the state objects include a low light state object, an abnormal temperature state object, an excessively high noise state object, and a crowded state object;

[0108] S52. Within the membrane unit, the state object is upgraded or semantically refined according to the object conversion rules to be converted into a control state object bound to the functional behavior, including a lighting adjustment state object, a video start state object, a broadcast trigger state object, and a power switching state object;

[0109] S53, according to the communication diagram in the membrane structure mapping model, the control state object is transferred from the source membrane unit π according to the object transfer rule. i Transfer to the target membrane unit π j , forming a complete transmembrane object propagation path;

[0110] S54: All control state objects obtained by the interaction of the object generation rule, the object conversion rule, and the object transfer rule constitute a state object set, and the state object set serves as an input object set of the control execution step.

[0111] The present invention feeds sensory input data into environmental sensing membrane units, generating low-light, abnormal temperature, excessive noise, and crowded conditions based on object generation rules. These are then refined into lighting adjustment, video activation, broadcast triggering, and power switching control state objects using object conversion rules. Combined with the communication graph within the membrane structure mapping model, object transfer rules are used to transfer control state objects across the membrane to the corresponding functional membrane units, constructing a complete object propagation path. Ultimately, a collection of control state objects is formed, resulting from the combined effects of object generation, conversion, and transfer rules. This provides clear and controllable input support for the system's subsequent control reasoning.

[0112] In this embodiment, S6 specifically includes:

[0113] S61, inputting the state object set into the functional membrane units corresponding to the functional modules one by one, the functional membrane units including the lighting control membrane unit, the video surveillance membrane unit, the emergency broadcast membrane unit and the power supply management membrane unit, each functional membrane unit receiving the state object corresponding to the mapped functional module;

[0114] S62: Each functional membrane unit performs an inference and judgment operation on the received state object according to a control inference rule preset in the control rule set of the membrane unit, and generates a control behavior instruction object set, wherein the control behavior instruction object set includes a brightness adjustment instruction object, a camera start instruction object, a broadcast play instruction object, and a power switching instruction object;

[0115] S63, parsing each control behavior instruction object into an execution control instruction that can be directly recognized by the functional module, and sending the execution control instruction to the execution component of the corresponding functional module through the drive interface between the membrane unit and the functional module;

[0116] S64. All execution control instructions generated and issued by the functional membrane units are unified and collected to form a set of control behavior instructions to drive the LED street light system to perform lighting brightness adjustment, video surveillance activation, broadcast playback triggering and energy output adjustment functions.

[0117] This invention inputs a set of state objects into a functional membrane unit and performs inference based on control rules to generate instruction objects corresponding to specific control actions, including brightness adjustment, camera activation, broadcast playback, and power switching instructions. Each instruction object is parsed and converted into an executable control instruction recognizable by the functional module. This is then distributed to the target component via a driver interface, forming a unified set of control action instructions. This mechanism completes a logical closed loop from state perception to control execution, improving the response efficiency and control accuracy of the multifunctional LED streetlight system.

[0118] In this embodiment, the S7 specifically includes:

[0119] S71. Based on the control behavior instruction set, a membrane structure expansion condition set Θ is set. The membrane structure expansion condition set includes a membrane structure update operation triggered when any of the following conditions are met: a new functional module needs to be connected to the control process, the behavior logic of an existing functional module is changed, or the control rule set needs to be modified at the structural level based on the feedback mechanism;

[0120] S72. When any condition in the membrane structure expansion condition set Θ is satisfied, construct an expansion membrane unit set Π. * , each membrane unit in the expanded membrane unit set corresponds to a newly added functional module, and a unique membrane identifier is assigned to each newly added membrane unit to generate an updated total membrane unit set Π′;

[0121] S73, is the extended membrane unit set Π * Each membrane unit configuration object collection and rule sets And based on the control interaction relationship between the new functional modules and the original functional modules, the communication edge set E is defined * , the communication edge set E* With the original communication edge set E * Merge to obtain the updated membrane communication graph structure G′;

[0122] S74. Construct a new membrane structure mapping model based on the updated membrane unit set Π′, the communication graph structure G′, the control rule set, and the port set configuration results.

[0123] The present invention achieves dynamic adjustment of the control system by setting a set of membrane structure expansion conditions. When a new functional module is connected, the behavioral logic of an existing module is changed, or the control rules need to be restructured, a membrane structure update operation is triggered, a corresponding expanded membrane unit set is constructed, and a unique identifier is assigned. The system configures objects and rule sets for the newly added membrane units, defines the communication relationship with the original modules, and updates the communication graph structure. Ultimately, based on the newly added and original membrane unit sets, the communication structure, and the rule configuration results, a new membrane structure mapping model is generated, realizing the scalability and adaptive evolution capabilities of the system control structure.

[0124] In this embodiment, the S8 specifically includes:

[0125] S81, synchronously loading the membrane unit set Π′, the communication graph structure G′, the control rule set and the port set into the edge control unit, and initializing the control task environment;

[0126] S82. Based on the new membrane structure mapping model, perform object reasoning and cross-membrane propagation operations on the state object set from the environmental perception membrane unit, and calculate the control behavior instruction object set according to the rule set in each functional membrane unit, wherein the control behavior instruction object set includes a lighting adjustment object, a monitoring start object, a broadcast control object, and a power management object.

[0127] S83, converting each object in the control behavior instruction object set into a function module driving instruction according to the function module identification code, and generating an execution control instruction set;

[0128] S84. Distribute the execution control instruction set to the control execution interface of each physical functional module through the edge control unit to complete the control execution process of lighting adjustment, video surveillance startup, emergency broadcast playback and power distribution switching in the LED street light system, and form a control execution result based on the membrane computing structure.

[0129] The present invention initializes the control task environment by loading a membrane unit set, a communication graph structure, a control rule set, and a port set into the edge control unit. Based on the membrane structure mapping model, the system performs inference and cross-membrane propagation of state objects, generating control action instruction objects for lighting adjustment, monitoring activation, broadcast control, and power management. Each instruction object is converted into an execution control instruction through functional module recognition and distributed by the edge control unit to the corresponding module interface. This mechanism enables distributed control response for the multifunctional LED streetlight system, improving the real-time performance of the control process, module adaptability, and execution efficiency.

[0130] Example 1:

[0131] To verify the feasibility of this invention, we applied it to a multifunctional intelligently controlled LED streetlight deployment area. We performed membrane computing structural modification and deployed an intelligent control model for the LED streetlight system, which includes five functional modules: lighting, monitoring, environmental perception, broadcasting, and power supply management. This area previously used a central controller-based event-triggered approach to implement module management, resulting in poor system scalability, delayed control response, and high maintenance costs. To address these issues, we constructed a control model centered around membrane computing using this invention. We mapped membrane units and configured object rules for each functional module, enabling dynamic state reasoning and distributed command response on an edge control platform.

[0132] During the deployment process, the light intensity, temperature and humidity, noise level, and human activity density collected by the environmental perception module are input into the perception membrane unit in the membrane computing structure. A state object is generated based on the rule set and automatically propagated to the lighting membrane, video membrane, broadcast membrane, and related functional membrane units. Based on the state object, the system determines whether to perform lighting adjustment, camera activation, or broadcast reminder operations, thereby realizing automatic response based on perception events. In a test scenario of continuous rainy days, the ambient light intensity was lower than 300 lux for a long time, and the human activity density was higher than the set threshold. The system accurately identified and synchronously triggered the lighting module to increase the brightness to 95%, and simultaneously turned on the camera's continuous recording function, and the broadcast module entered standby mode. The entire response process was completed in parallel in the membrane structure, with a control link transmission time of less than 60 milliseconds and no central node involved.

[0133] To further verify the system's adaptability in dynamic expansion scenarios, an ambient air quality monitoring module was introduced into the original membrane structure. The control model was expanded by adding new membrane units. This approach eliminated the need to restructure other functional membrane structures or global rules. Simply by supplementing communication edges and rule configurations, the system enabled broadcast notifications and lighting power restrictions triggered by abnormal air quality. In actual simulation data, when the air quality index (AQI) exceeded 180, the system completed initialization of the new functional module membrane units, rule activation, and broadcast instruction generation within 7 seconds, demonstrating exceptionally high expansion response efficiency.

[0134] The following is a summary of actual comparative test data between the membrane computing structure control model and the traditional centralized control strategy under different weather conditions, human activities, and environmental conditions, verifying the advantages of the present invention in terms of control response timeliness, module linkage integrity, and extended operational efficiency.

[0135] Table 1 Actual comparison test data of membrane computing control model and centralized control system

[0136]

[0137]

[0138] As can be seen from the above table, the present invention significantly improves key performance indicators such as control response speed, module linkage capability, and system expansion efficiency of the multifunctional intelligent control LED street light compared to traditional centralized control methods. First, in terms of control response time, the membrane computing structure control model maintained a response time between 45 and 58 milliseconds under various test conditions, while the average response delay of traditional systems under similar conditions generally exceeded 120 milliseconds. This shows that the parallel reasoning mechanism under the membrane structure can significantly shorten the delay between state perception and control execution, improving the system's response speed to sudden state changes.

[0139] In terms of module linkage response capabilities, the membrane computing structure achieves coordinated triggering of multiple functional modules through a state object propagation mechanism. For example, in test numbers T002 and T004, the system was able to simultaneously drive lighting enhancement, video surveillance activation, and emergency broadcasts based on complex environmental conditions such as insufficient light, deteriorating air quality, and crowded conditions. This resulted in a total of four linked modules. Traditional control systems, however, mostly use segmented triggering mechanisms that can only handle single module responses and lack state integration capabilities. This invention utilizes rule-driven propagation of objects between functional membranes within the membrane structure, ensuring that each module logically does not interfere with each other while maintaining coordinated and unified behavior, effectively improving the system's functional coverage and response consistency.

[0140] Regarding system expansion, tests T005 and T004 simulated the integration of new functional modules. The control model of our invention completed membrane structure updates, communication path additions, and control rule deployment within 6 to 7 seconds. Traditional control systems require rebuilding the master control logic and redeploying the control strategy, often taking over 30 seconds. The membrane structure of our invention can be quickly integrated into the existing control framework by defining new membrane units and rule sets, demonstrating a high degree of structural adaptability and evolution.

[0141] Comprehensive data results show that the multifunctional LED street light control method implemented using membrane computing structure can not only significantly improve the response timeliness and module linkage capability of the control system, but also has good scalability and stability. It is suitable for the comprehensive control needs of multi-source perception, high-frequency control and structural change in smart city lighting systems.

[0142] The above description is only a preferred specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any technician familiar with the technical field, within the technical scope disclosed by the present invention, who makes equivalent replacements or changes based on the technical solution and inventive concept of the present invention, should be covered by the scope of protection of the present invention.

Claims

1. A multifunctional intelligent control LED street lamp mechanical overall design method, characterized in that: The steps include: S1. Divide the LED street light into multiple functional modules, and set corresponding functional areas in the street light body structure according to the functional modules to form a physical structure configuration result of the functional modules; S2. Based on the physical structure configuration results of the functional modules, a membrane calculation structure model is constructed, each functional module is mapped to a corresponding membrane unit, the nesting relationship and communication structure between the membrane units are defined, and a membrane structure mapping model is generated; S3. Based on the membrane structure mapping model, configuring an object set and a rule set for each membrane unit to form an intra-membrane control rule configuration set; S4, collecting external environment data through the environment perception module to generate a perception input data set; S5, inputting the perception input data set into the environment perception membrane unit in the membrane structure, generating state objects according to the configuration set of control rules in the membrane, and forming a state object set; S6. Input the state object set into the functional membrane unit, perform reasoning based on the control rule configuration set within the membrane, generate a control behavior instruction set, and convert it into instructions executable by the functional module; S7. Setting the membrane structure expansion conditions. If the expansion requirements are met, adding membrane units, communication relationships and rules to generate an updated membrane structure mapping model. S8. Load the updated membrane structure mapping model and the membrane control rule configuration set into the edge control unit, execute reasoning and control instructions, and realize the multifunctional control execution process of the LED street lamp.

2. A multifunctional intelligent control LED street lamp mechanical overall design method according to claim 1, characterized in that: Said S1 specifically includes: S11. Determine a set of functional requirements based on the street lamp application scenario, where the set of functional requirements includes lighting requirements, environmental monitoring requirements, video surveillance requirements, emergency broadcasting requirements, and energy management requirements; S12. Divide the LED street lights into corresponding functional modules according to the functional requirements, wherein the functional modules include a lighting module, an environmental perception module, a video monitoring module, an emergency broadcast module, and a power supply management module; S13. Design a corresponding physical installation structure and spatial layout structure for each functional module. The physical installation structure includes a module housing, a support bracket, an electrical interface, and a heat dissipation unit. The spatial layout structure is partitioned according to heat source distribution, power supply path, and signal wiring scheme. S14, setting the initial corresponding relationship between each functional module and membrane structure mapping, the corresponding relationship is expressed as Among them, M is the set of functional modules, Π is the set of membrane units, is the mapping function; S15. Based on physical installation structure and mapping function Form the physical structure configuration result of the functional module.

3. The method for designing a multifunctional intelligent control LED street lamp mechanism according to claim 1, characterized in that: The S2 specifically includes: S21, according to the physical structure configuration result of the functional module, setting the top unit π0 of the membrane structure, wherein the top unit corresponds to the main control unit; S22, for each functional module m i , according to the mapping function Create the corresponding membrane unit π i All functional membrane units are placed in the nested structure of the top-level main control membrane unit, so that each functional membrane unit except the main control membrane unit exists as a direct sub-membrane unit of the main control membrane unit; S23, for each membrane unit π i Assign structural roles, including: lighting control film, environmental perception film, video monitoring film, broadcast response film and power management film, which correspond to the lighting module, environmental perception module, video monitoring module, emergency broadcast module and power management module in the LED street lamp respectively; S24, set the inter-membrane communication edge set E, where the communication edge represents the control object transfer path between membrane units, and construct a membrane communication graph G = (Π, E), where the edge (π i ,π j )∈E represents membrane unit π i Objects can be sent to membrane unit π j ; S25, for each membrane unit π i Assign a local port set where membrane unit π i Each port p in ij Corresponding to a communication connection relationship (π i ,π j ); S26. Integrate the top membrane structure π0, the membrane unit set Π, the inter-membrane communication graph G=(Π,E), the membrane role definition and the port configuration results to generate a membrane structure mapping model.

4. The method for designing a multifunctional intelligent control LED street lamp mechanism according to claim 1, characterized in that: The S3 specifically includes: S31, for each membrane unit π i Configuration object collection The object set includes an environment perception object, a state judgment object, a behavior trigger object and a module response object; S32, for each membrane unit π i Defining a rule set The rule set includes object generation rules, object conversion rules and object transfer rules; S33, object collection and rule sets Binding to form a membrane unit control rule configuration structure; S34, combining the communication edge set E between each membrane unit in the membrane structure mapping model, setting a corresponding object transfer rule for the communication relationship between each membrane unit; S35. Integrate the control rule configuration structures of all membrane units into an intra-membrane control rule configuration set.

5. The method for designing a multifunctional intelligent control LED street lamp mechanism as claimed in claim 4, characterized in that: The rule set includes object generation rules, object conversion rules and object transfer rules; The object generation rule generates a new control object in the membrane unit according to the input of the perception module or the default startup condition, that is, in the absence of a preceding object, an initial object with control meaning is directly introduced; the object conversion rule converts an existing object into another control object inside the membrane unit, that is, the conversion is completed according to the properties of the object itself or the conditional trigger mechanism within the membrane unit; the object transfer rule transfers the object in the current membrane unit to other membrane units, that is, keeps the original state of the object unchanged, but sends it from the source membrane to the target membrane unit.

6. The method for designing a multifunctional intelligent control LED street lamp mechanism as claimed in claim 1, characterized in that: The perception input dataset includes light intensity, ambient temperature, relative humidity, noise level, air quality index and human activity density.

7. The method for designing a multifunctional intelligent control LED street lamp mechanism as claimed in claim 1, characterized in that: The S5 specifically includes: S51, input the perception input data set into the environment perception membrane unit π env , the membrane unit is based on the control rule set The object generation rules in the object set generating state objects, wherein the state objects include a low light state object, an abnormal temperature state object, an excessively high noise state object, and a crowded state object; S52. Within the membrane unit, the state object is upgraded or semantically refined according to the object conversion rules to be converted into a control state object bound to the functional behavior, including a lighting adjustment state object, a video start state object, a broadcast trigger state object, and a power switching state object; S53, according to the communication diagram in the membrane structure mapping model, the control state object is transferred from the source membrane unit π according to the object transfer rule. i Transfer to the target membrane unit π j , forming a complete transmembrane object propagation path; S54. All control state objects obtained by the interaction of the object generation rule, the object conversion rule, and the object transfer rule constitute a state object set.

8. The method for designing a multifunctional intelligent control LED street lamp mechanism as claimed in claim 1, characterized in that: The S6 specifically includes: S61, inputting the state object set into the functional membrane units corresponding to the functional modules one by one, the functional membrane units including the lighting control membrane unit, the video surveillance membrane unit, the emergency broadcast membrane unit and the power supply management membrane unit, each functional membrane unit receiving the state object corresponding to the mapped functional module; S62: Each functional membrane unit performs an inference and judgment operation on the received state object according to a control inference rule preset in the control rule set of the membrane unit, and generates a control behavior instruction object set, wherein the control behavior instruction object set includes a brightness adjustment instruction object, a camera start instruction object, a broadcast play instruction object, and a power switching instruction object; S63, parsing each control behavior instruction object into an execution control instruction that can be directly recognized by the functional module, and sending the execution control instruction to the execution component of the corresponding functional module through the drive interface between the membrane unit and the functional module; S64. All execution control instructions generated and issued by the functional membrane units are unified and collected to form a set of control behavior instructions to drive the LED street light system to perform lighting brightness adjustment, video surveillance activation, broadcast playback triggering and energy output adjustment functions.

9. The method for designing a multifunctional intelligent control LED street lamp mechanism as claimed in claim 1, characterized in that: The S7 specifically includes: S71. Based on the control behavior instruction set, a membrane structure expansion condition set Θ is set. The membrane structure expansion condition set includes a membrane structure update operation triggered when any of the following conditions are met: a new functional module needs to be connected to the control process, the behavior logic of an existing functional module is changed, or the control rule set needs to be modified at the structural level based on the feedback mechanism; S72. When any condition in the membrane structure expansion condition set Θ is satisfied, construct an expansion membrane unit set Π. * Each membrane unit in the expanded membrane unit set corresponds to a newly added functional module, and a unique membrane identifier is assigned to each newly added membrane unit to generate an updated total membrane unit set Π ′ ; S73, is the extended membrane unit set Π * Each membrane unit configuration object collection and rule sets And based on the control interaction relationship between the new functional modules and the original functional modules, the communication edge set E is defined * , the communication edge set E * With the original communication edge set E * Merge to get the updated membrane communication graph structure G ′ ; S74, based on the updated membrane unit set Π ′ , communication graph structure G ′ , control rule set and port set configuration results, and construct a new membrane structure mapping model.

10. The method for designing a multifunctional intelligent control LED street lamp mechanism as claimed in claim 1, characterized in that: The S8 specifically includes: S81, the membrane unit set Π ′ , communication graph structure G ′ , the control rule set and port set are synchronously loaded into the edge control unit to initialize the control task environment; S82. Based on the new membrane structure mapping model, perform object reasoning and cross-membrane propagation operations on the state object set from the environmental perception membrane unit, and calculate the control behavior instruction object set according to the rule set in each functional membrane unit, wherein the control behavior instruction object set includes a lighting adjustment object, a monitoring start object, a broadcast control object, and a power management object. S83, converting each object in the control behavior instruction object set into a function module driving instruction according to the function module identification code, and generating an execution control instruction set; S84. Distribute the execution control instruction set to the control execution interface of each physical functional module through the edge control unit to complete the control execution process of lighting adjustment, video surveillance startup, emergency broadcast playback and power distribution switching in the LED street light system, and form a control execution result based on the membrane computing structure.

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