A fire emergency lighting device with self-organizing network function and its control method

Abstract

This application discloses a fire emergency lighting device with self-organizing network functionality and its control method. The lighting device includes a communication module, a lighting module, a control module, a power supply module, and a rear panel. The rear panel integrates multiple slots, through which the lighting module, communication module, control module, and power supply module are mounted. The control module includes an energy-sensing self-organizing network unit, which comprises a link evaluation subunit, a cluster head election subunit, a path cost optimization subunit, and a transmit power adjustment subunit. This lighting device integrates lighting, network communication, and power management functions. In emergency situations, it can provide emergency lighting while simultaneously creating and maintaining a stable and reliable communication network in environments with extremely weak or no wireless signals. This enhances communication capabilities, personnel evacuation efficiency, and rescue coordination capabilities during emergencies, ensuring overall safety and making it widely applicable in the field of Internet of Things (IoT) communication technology.

Description

Technical Field

[0001] This application relates to the field of Internet of Things (IoT) communication technology, and in particular to a fire emergency lighting device with self-organizing network function and its control method. Background Technology

[0002] Fire emergency lighting is crucial for ensuring safe evacuation and emergency response. It provides necessary emergency lighting in the event of a sudden emergency or power outage to guide people quickly and orderly along evacuation routes and support emergency response activities. Currently, with the widespread use of mobile internet, the demand for wireless network connectivity in emergencies is increasing to enable timely access to information and maintain contact with the outside world.

[0003] However, existing fire emergency lighting devices are mainly limited to providing basic lighting. In environments with poor or no signal coverage, they lack network communication capabilities and have not considered how to enhance on-site wireless network coverage. In emergency situations, they cannot meet the wireless access needs while providing emergency lighting, resulting in poor information transmission and affecting rescue efforts. Summary of the Invention

[0004] The main objective of this application is to propose a fire emergency lighting device and its control method with self-organizing network function, which can realize dual-mode emergency protection of "lighting + communication", improve communication capabilities, personnel evacuation efficiency and rescue coordination capabilities under emergencies, and ensure overall safety.

[0005] To achieve the above objectives, one aspect of this application provides a fire emergency lighting device with self-organizing network functionality. The lighting device includes a communication module, a lighting module, a control module, a power module, and a rear panel. The rear panel integrates multiple slots, and the lighting module, the communication module, the control module, and the power module are installed on the rear panel through corresponding slots. The control module includes an energy-sensing self-organizing network unit, wherein the energy-sensing self-organizing network unit is used to communicate with external communication devices through the communication module; wherein the energy-sensing self-organizing network unit includes multiple nodes; The energy-sensing self-organizing network unit also includes: The link evaluation subunit is used to calculate the comprehensive weight value of each potential communication link between the multiple nodes; The cluster head election subunit is used to construct a cluster topology within a local network based on each of the nodes, and to elect a cluster head node within each cluster, wherein the cluster head node is used to aggregate communication data within the corresponding cluster; The path cost optimization subunit is used to construct the communication path structure and determine the optimal communication path based on the cost of each candidate communication path in the communication path structure. The transmit power adjustment subunit is used to dynamically adjust the transmit power of the communication module according to the optimal communication path and the minimum receive power required by the communication data receiving end.

[0006] In some embodiments, the lighting module includes emergency warning signs and LED lights.

[0007] In some embodiments, the control module further includes an emergency alert control unit and a lighting control unit; The emergency alert control unit is used to receive at least one signal from a photosensitive sensor, a smoke sensor, or a temperature sensor, and trigger the emergency alert sign to switch display modes according to the signal; The lighting control unit is used to dynamically adjust the output of the LED lighting according to the ambient brightness, and in the event of a fault in the LED lighting, it sends a compensation lighting request to nearby lighting devices through the energy-sensing self-organizing network unit.

[0008] In some embodiments, the energy-aware self-organizing network unit further includes a path switching subunit; The path switching subunit is used to reconstruct the communication path structure or switch to an alternative communication path when the overall weight value of the communication link is less than a first preset threshold or the remaining energy of the node is less than a second preset threshold.

[0009] Another aspect of this application provides a self-organizing network communication control method, the method comprising: Calculate the overall weight value of each potential communication link between each node and its neighboring nodes; Based on the remaining energy of each node and the density information of its neighboring nodes, a clustered topology is constructed within the local network, wherein the clustered topology includes multiple clusters; The nodes within each cluster are determined, and a cluster head election is performed to obtain the cluster head node of each cluster. The cluster head node aggregates the communication data within the corresponding cluster. Based on the comprehensive weight value of each potential communication link within each cluster and the remaining energy of each node within the cluster, forwarding paths are constructed between clusters to obtain a communication path structure, wherein the communication path structure includes multiple candidate communication paths. The cost of each of the candidate communication paths is evaluated, and the optimal communication path is determined based on the cost of each of the candidate communication paths. The communication transmission power is adjusted according to the optimal communication path and the minimum receiving power required by the communication data receiving end, and the communication data is sent to the communication data receiving end with the adjusted communication transmission power.

[0010] In some embodiments, calculating the comprehensive weight value of each potential communication link between each node and its neighboring nodes includes: Each node calculates a comprehensive weight value for each potential communication link between itself and its neighbors based on the received signal strength of the communication link, the node's remaining energy, and the density information of its neighboring nodes. The expression for calculating this comprehensive weight value is as follows:

[0011] In the formula, This is the overall weight value of the communication link. For the first The node's current remaining energy The initial energy of the node. This represents the number of neighbors of the node. , and For preset weighting coefficients, The current received signal strength of the node. This represents the strongest signal strength that the node can receive.

[0012] In some embodiments, the process of performing cluster head election to obtain the cluster head nodes of each cluster includes: Calculate the energy stability factor for each node within each cluster, where the expression for the energy stability factor is:

[0013] In the formula, θ is the energy stability factor, and θ∈(0,1) is the energy priority weight; Cluster heads are elected based on the energy stability factors of each node within each cluster, thus obtaining the cluster head nodes for each cluster.

[0014] In some embodiments, evaluating the cost of each of the candidate communication paths includes: Obtain the comprehensive weight value of each communication link corresponding to each candidate communication path and the energy consumption characteristics of the nodes on the candidate communication path; Based on the comprehensive weight values ​​of each communication link corresponding to the candidate communication path and the energy consumption characteristics of the nodes on the candidate communication path, the cost of each candidate communication path is evaluated, wherein the expression for the cost is:

[0015] In the formula, At the cost, For the first The overall weight value of hopping communication links, For adaptive weight parameters, This represents the number of hops along the path.

[0016] In some embodiments, adjusting the communication transmit power according to the optimal communication path and the minimum receive power required by the communication data receiver includes: Obtain the communication distance between adjacent nodes corresponding to the optimal communication path and the remaining energy of the adjacent nodes; The communication transmission power is adjusted based on the communication distance between the adjacent nodes, the remaining energy of the adjacent nodes, and the minimum receiving power required by the communication data receiver.

[0017] In some embodiments, the method further includes: When the overall weight value of the communication link is detected to be less than the first preset threshold or the remaining energy of the node is less than the second preset threshold, the communication path structure is reconstructed or the communication path is switched to an alternative communication path.

[0018] The embodiments of this application include at least the following beneficial effects: This application provides a fire emergency lighting device and its control method with self-organizing network function. The device in this solution includes a communication module, a lighting module, a control module, a power module, and a back panel. The back panel integrates multiple slots, and the lighting module, communication module, control module, and power module are installed on the back panel through corresponding slots. The control module includes an energy-sensing self-organizing network unit, which is used to communicate with external communication devices through the communication module. The energy-sensing self-organizing network unit includes multiple nodes. The energy-sensing self-organizing network unit further includes: a link evaluation subunit, used to calculate the comprehensive weight value of each potential communication link between the multiple nodes; a cluster head election subunit, used to construct a cluster topology structure within a local network based on each node, and elect a cluster head node in each cluster, the cluster head node being used to aggregate communication data within the corresponding cluster; a path cost optimization subunit, used to construct a communication path structure, and determine the optimal communication path according to the cost of each candidate communication path in the communication path structure; and a transmit power adjustment subunit, used to dynamically adjust the transmit power of the communication module according to the optimal communication path and the minimum receive power required by the communication data receiver. Through the energy-sensing self-organizing network unit in the lighting module, communication module, and control module, the lighting device of this application can provide emergency lighting in emergency situations, and can also create and maintain a stable and reliable communication network in environments with extremely weak or no wireless signals. At the same time, it supports forming a network cluster with other communication devices to expand the coverage area, improves the communication capability in emergency situations, and thus improves the efficiency of personnel evacuation and rescue coordination capabilities, and ensures overall safety. Attached Figure Description

[0019] Figure 1 This is a schematic diagram of the structure of a fire emergency lighting device with self-organizing network function provided in an embodiment of this application; Figure 2 This is a flowchart of a self-organizing network communication control method provided in an embodiment of this application; Figure 3 This is a flowchart illustrating the cost of each candidate communication path as provided in an embodiment of this application; Figure 4 This is a flowchart of adjusting communication transmission power provided in an embodiment of this application; Figure 5 A schematic diagram of fire emergency evacuation sign lighting fixtures (safety exit signs only) provided in an embodiment of this application; Figure 6 A schematic diagram of a fire emergency lighting fixture (lighting lamp only) provided in an embodiment of this application.

[0020] Attached reference numerals: ① Emergency warning sign, ② LED lighting, ③ Emergency warning control unit, ④ Power module, ⑤ Rear panel, ⑥ Antenna module, ⑦ Network module, ⑧ Lighting control unit. Detailed Implementation

[0021] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of this application and are not intended to limit it. In the following description, when referring to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with those of this application; they are merely examples of apparatuses and methods consistent with some aspects of the embodiments of this application as detailed in the appended claims.

[0022] It is understood that the terms "first," "second," "third," "fourth," etc. (if present) in the specification and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0023] It should be understood that in this application, "at least one (item)" means one or more, and "more than" means two or more. "And / or" is used to describe the relationship between related objects, indicating that three relationships can exist. For example, "A and / or B" can represent three cases: only A exists, only B exists, and both A and B exist simultaneously, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one (item) of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one (item) of a, b, or c can represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0024] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only and is not intended to limit this application.

[0025] Existing fire emergency lighting devices are mainly limited to providing basic lighting. In environments with poor or no signal coverage, they lack network communication capabilities and have not considered how to enhance on-site wireless network coverage. In emergency situations, they cannot meet wireless access needs while providing emergency lighting, resulting in poor information transmission and affecting rescue efforts.

[0026] In view of this, this application provides a fire emergency lighting device and its control method with self-organizing network function. The device includes a communication module, a lighting module, a control module, a power module, and a back panel. The back panel integrates multiple slots, and the lighting module, communication module, control module, and power module are installed on the back panel through corresponding slots. The control module includes an energy-sensing self-organizing network unit, which is used to communicate with external communication devices through the communication module. The energy-sensing self-organizing network unit includes multiple nodes. The energy-sensing self-organizing network unit further includes: a link evaluation subunit, used to calculate the comprehensive weight value of each potential communication link between the multiple nodes; a cluster head election subunit, used to construct a cluster topology structure within a local network based on each node, and elect a cluster head node in each cluster, the cluster head node being used to aggregate communication data within the corresponding cluster; a path cost optimization subunit, used to construct a communication path structure, and determine the optimal communication path based on the cost of each candidate communication path in the communication path structure; and a transmit power adjustment subunit, used to dynamically adjust the transmit power of the communication module according to the optimal communication path and the minimum receiving power required by the communication data receiving end. Through the energy-sensing self-organizing network unit in the lighting module, communication module, and control module, the lighting device of this application can provide emergency lighting in emergency situations, and can also create and maintain a stable and reliable communication network in environments with extremely weak or no wireless signals. At the same time, it supports forming a network cluster with other communication devices to expand the coverage area, improves the communication capability in emergency situations, and thus improves the efficiency of personnel evacuation and rescue coordination capabilities, and ensures overall safety.

[0027] The fire emergency lighting device and its control method with self-organizing network function provided in this application embodiment relate to the field of Internet of Things (IoT) communication technology. The self-organizing network communication control method provided in this application embodiment can be applied to a terminal, a server, or software running on a terminal or server. In some embodiments, the terminal can be a smartphone, tablet, laptop, desktop computer, smart speaker, smartwatch, or vehicle terminal, but is not limited to these; the server can be configured as an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms. The server can also be a node server in a blockchain network; the software can be an application implementing the self-organizing network communication control method, but is not limited to the above forms.

[0028] This application can be used in a wide variety of general-purpose or special-purpose computer system environments or configurations. Examples include: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics devices, network PCs, minicomputers, mainframe computers, and distributed computing environments including any of the above systems or devices. This application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc., that perform specific tasks or implement specific abstract data types. This application can also be practiced in distributed computing environments where tasks are performed by remote processing devices connected via a communication network. In distributed computing environments, program modules can reside in local and remote computer storage media, including storage devices.

[0029] like Figure 1 The diagram shown is a structural schematic of a fire emergency lighting device with self-organizing network function provided in an embodiment of this application. (Refer to...) Figure 1 The lighting device includes a communication module, a lighting module, a control module, a power module ④, and a rear panel ⑤. The rear panel ⑤ integrates multiple slots, and the lighting module, the communication module, the control module, and the power module ④ are installed on the rear panel ⑤ through the corresponding slots. The control module includes an energy-aware ad hoc network unit, wherein the energy-aware ad hoc network unit is used to perform low-overhead, highly robust communication with external communication devices through the communication module; wherein the energy-aware ad hoc network unit includes multiple nodes; The energy-sensing self-organizing network unit also includes: The link evaluation subunit is used to calculate the comprehensive weight value of each potential communication link between the multiple nodes; The cluster head election subunit is used to construct a cluster topology within a local network based on each of the nodes, and to elect a cluster head node within each cluster, wherein the cluster head node is used to aggregate communication data within the corresponding cluster; The path cost optimization subunit is used to construct the communication path structure and determine the optimal communication path based on the cost of each candidate communication path in the communication path structure. The transmit power adjustment subunit is used to dynamically adjust the transmit power of the communication module according to the optimal communication path and the minimum receive power required by the communication data receiving end.

[0030] For example, in some embodiments, the lighting module includes an emergency warning sign ① and an LED light ②.

[0031] For example, in some embodiments, the control module further includes an emergency alert control unit ③ and a lighting control unit ⑧.

[0032] Among them, the emergency prompt control unit ③ is used to receive at least one signal from a photosensitive sensor, a smoke sensor or a temperature sensor. It has a built-in microcontroller, which is used to trigger the emergency prompt sign ① to switch display modes according to the received signal.

[0033] The lighting control unit ⑧ integrates a PWM dimming circuit and a photosensor. The photosensor is used to dynamically collect ambient brightness, and the lighting control unit ⑧ is used to control the PWM dimming circuit to adjust the output brightness of the lighting lamp according to the ambient brightness. When the LED lighting lamp ② fails, the lighting control unit ⑧ sends a compensation lighting request to the nearby lighting device through the energy-sensing self-organizing network unit. The nearby lighting device decides whether to respond based on its energy stability factor value to maintain the preset minimum safe lighting range and ensure minimum safe illuminance coverage.

[0034] For example, in some embodiments, the energy-aware self-organizing network unit further includes a path switching subunit; the path switching subunit is used to trigger the reconstruction of the communication path structure or switch to an alternative communication path in advance when the comprehensive weight value of the communication link is detected to be less than a first preset threshold or the remaining energy of the node is less than a second preset threshold, so as to ensure the continuity and reliability of the communication process and realize uninterrupted communication.

[0035] For example, the lighting control unit ⑧ adopts the following brightness control model:

[0036] In the formula, To maintain the minimum safe brightness power, To meet the brightness requirements of the scene, Given the current ambient brightness, This represents the average remaining energy of all nodes in the network. It is a dynamic scaling factor that satisfies , As the benchmark coefficient, when When it decreases, Automatically reduce to extend overall emergency response time.

[0037] Exemplarily, in some embodiments, the communication module includes an antenna module ⑥ and a network module ⑦. The antenna module ⑥ includes an omnidirectional gain antenna. The network module ⑦ includes a wired antenna and a Wi-Fi module.

[0038] For example, in some embodiments, the power module ④ includes a main power supply and a backup power supply, wherein the main power supply includes an AC220V input circuit, a DC36V input circuit and an overvoltage and overcurrent protection circuit; the backup power supply includes a replaceable battery.

[0039] For example, in some embodiments, the rear panel ⑤ may be made of an aluminum alloy frame and a fire-resistant engineering plastic composite material; the rear panel ⑤ is also provided with a wiring channel; a heat sink is provided on the back of the rear panel ⑤, and the heat sink is combined with the independent air ducts of the lighting module and the control module for heat dissipation.

[0040] For example, Figure 2 This is a flowchart of a self-organizing network communication control method provided in an embodiment of this application, such as... Figure 2 As shown, the ad hoc network communication control method includes the following steps: S100. Calculate the comprehensive weight value of each potential communication link between each node and its neighboring nodes.

[0041] In some embodiments, the step of calculating the combined weight value of each potential communication link between each node and its neighboring nodes includes: Each node calculates a comprehensive weight value for each potential communication link between itself and its neighbors based on the received signal strength of the communication link, the node's remaining energy, and the density information of its neighboring nodes. The expression for calculating this comprehensive weight value is as follows:

[0042] In the formula, This is the overall weight value of the communication link. For the first The node's current remaining energy The initial energy of the node. This represents the number of neighbors of the node. , and The preset weighting coefficients satisfy the following conditions: , The current received signal strength of the node. This represents the strongest signal strength that the node can receive.

[0043] The Received Signal Strength (RSSI) is represented as:

[0044] In the formula, For transmission power, This is the path loss index. For distance, This is shadow fading noise.

[0045] S200. Based on the remaining energy of each node and the density information of neighboring nodes, a clustered topology is constructed within the local network, wherein the clustered topology includes multiple clusters.

[0046] S300. Determine the nodes within each cluster and perform cluster head election to obtain the cluster head nodes of each cluster. The cluster head nodes aggregate the communication data within the corresponding cluster.

[0047] In some embodiments, the step of performing cluster head election to obtain the cluster head nodes of each cluster includes S310-S320: S310. Calculate the energy stability factor of each node within each cluster, wherein the expression for the energy stability factor is:

[0048] In the formula, Here, θ is the normalized energy stability factor, and θ∈(0,1) is the energy priority weight. This represents the number of a node's neighbors, or the neighbor node density information.

[0049] S320. Elect a cluster head based on the energy stability factor of each node in each cluster to obtain the cluster head node of each cluster.

[0050] Specifically, in this embodiment, the node with the highest energy stability factor is selected as the cluster head node, which is responsible for aggregating data and reducing broadcast storms.

[0051] S400. Based on the comprehensive weight value of each potential communication link within each cluster and the remaining energy of each node within the cluster, a forwarding path is constructed between the clusters to obtain a communication path structure, wherein the communication path structure includes multiple candidate communication paths.

[0052] For example, with the cluster head node as the backbone forwarding node, communication data is aggregated within the cluster using single-hop or few-hop communication methods. Based on the comprehensive weight value of each potential communication link within each cluster and the remaining energy of each node within the cluster, forwarding paths are constructed between clusters, thereby forming a hierarchical communication path structure.

[0053] S500: Evaluate the cost of each of the candidate communication paths, and determine the optimal communication path based on the cost of each of the candidate communication paths.

[0054] For example, Figure 3 This is a flowchart illustrating the evaluation of the cost of each candidate communication path provided in an embodiment of this application, such as... Figure 3 As shown, the steps for evaluating the cost of each candidate communication path include S510-S520: S510. Obtain the comprehensive weight value of each communication link corresponding to each candidate communication path and the energy consumption characteristics of the nodes on the candidate communication path; S520. Evaluate the cost of each candidate communication path based on the comprehensive weight value of each communication link corresponding to the candidate communication path and the energy consumption characteristics of the nodes on the candidate communication path. The expression for the cost is:

[0055] In the formula, At the cost, For the first The overall weight value of hopping communication links, For adaptive weight parameters, and , This represents the number of hops along the path.

[0056] Specifically, adaptive weight parameters used to balance link quality and node energy consumption. Dynamically adjusted according to network uptime, including: Adaptive first weight parameter This indicates the degree of attention paid to link quality factors during the communication path selection process; the second adaptive weight parameter. This indicates the degree of attention paid to the remaining energy of nodes during the communication path selection process, and satisfies... .

[0057] The adaptive weight parameters are adjusted as follows: In the early stages of network operation, the weight ratio for link quality is increased to ensure communication connectivity; as the network operating time increases, the weight ratio for the remaining energy of nodes is gradually increased to delay premature node failure and extend the overall network operating time; among these, and This can be achieved using an exponential decay function, specifically in the form of:

[0058] in, For network uptime, This is the weight adjustment rate parameter, used to control the transition speed from the link quality priority phase to the energy balance priority phase.

[0059] For example, in this embodiment of the application, after evaluating the cost of candidate communication paths, the optimal communication path with the lowest cost and taking into account both communication stability and energy balance is selected.

[0060] S600. Adjust the communication transmission power according to the optimal communication path and the minimum receiving power required by the communication data receiving end, and send the communication data to the communication data receiving end with the adjusted communication transmission power.

[0061] For example, Figure 4 This is a flowchart of adjusting communication transmission power provided in an embodiment of this application, such as... Figure 4 As shown, the steps for adjusting the communication transmission power include S610-S620: S610. Obtain the communication distance between adjacent nodes corresponding to the optimal communication path and the remaining energy of the adjacent nodes; S620. Adjust the communication transmission power according to the communication distance between the adjacent nodes, the remaining energy of the adjacent nodes, and the minimum receiving power required by the communication data receiving end; Specifically, communication transmission power ,satisfy:

[0062] In the formula, For the maximum permissible transmission power, It is an energy efficiency adjustment factor that decreases as the average surplus energy of the entire network decreases. This is the minimum demodulation power of the receiver. The system loss factor. The carrier wavelength; This represents the communication distance between adjacent nodes.

[0063] In this embodiment of the application, when the comprehensive weight value of the communication link is detected... Less than the first preset threshold (i.e., communication quality deteriorates) or the node's remaining energy is less than the second preset threshold. In the event of an interruption, the communication path structure can be reconstructed or a backup communication path can be switched to ensure the continuity and reliability of the communication process and achieve uninterrupted communication.

[0064] This application embodiment achieves the following technological advancements by deeply embedding the energy-sensing self-organizing network algorithm into the control logic of the fire emergency lighting device: Energy saving through coordinated communication and lighting: While ensuring minimum safe illuminance, the power consumption of communication and lighting is dynamically adjusted according to the energy status of the entire network; Highly robust emergency network: Even if some nodes fail, communication can still be maintained through multi-hop self-healing, supporting the issuance of fire commands and personnel location; Modular and rapid deployment: The rear panel slot design supports quick on-site replacement or upgrade of functional modules; Intelligent evacuation guidance: The prompt sign mode is dynamically adjusted based on sensor data to improve evacuation efficiency.

[0065] To explain the principles of the technical solution of this application in detail, the solution of this application will be described below with reference to some specific embodiments. It is easy to understand that the following is an explanation of the technical principles of this application and should not be regarded as a limitation of this application.

[0066] In one specific embodiment, the fire emergency lighting device with self-organizing network function of this application still refers to... Figure 1 The overall structure of the lighting device is as follows: The lighting device may include a housing, with a safety exit sign installed on the front panel of the housing, a light fixture installed on the top of the housing, and a power module ④, a lighting control unit ⑧, and a network module ⑦ installed on the rear panel. The other end of the extension wire of the power module ④ can be connected to external mains power. The network module ⑦ is connected to an antenna module ⑥. A safety exit sign control unit is installed on the lower edge of the housing. The lighting module (safety exit sign ①, i.e., emergency warning sign, light fixture ②) in this lighting device provides emergency lighting and dynamic safety exit guidance; the control module (lighting control unit ⑧, safety exit sign control unit, i.e., emergency warning sign control unit) supports environmental parameter response and remote command execution; the communication module (antenna module ⑥, network module ⑦) enables wired and wireless multi-mode communication and data interaction; the main power supply in the power module ④ works in conjunction with a backup lithium battery. The rear panel ⑤ integrates module slots and a heat dissipation structure, supporting rapid installation.

[0067] Furthermore, the structural design of each module is as follows: (1) Back panel ⑤: Materials and Structure: The frame is made of aluminum alloy and fire-resistant engineering plastic composite material. The internal design includes module slots and wiring channels, supporting "plug and play" for each module.

[0068] Heat dissipation design: Heat dissipation fins are set on the back of the rear panel, combined with independent air ducts for the lighting module and control module, to ensure stability in high-temperature environments.

[0069] (2) Lighting module: Safety Exit Sign (also known as Emergency Warning Sign) ①: Uses a high-brightness LED array, supports red and green dual-color switching, and realizes three modes of flashing, breathing and constant light through the control module.

[0070] Lighting ②: Built-in COB integrated light source, supports brightness adjustment based on ambient light sensor or remote command.

[0071] (3) Control module: Lighting control unit ⑧: Integrates PWM dimming circuit and photosensor to collect ambient brightness in real time and automatically adjust lighting output. In case of lamp failure, it activates neighborhood compensation lighting to maintain a minimum safe lighting range.

[0072] Safety Exit Sign Control Unit: Built-in microcontroller (MCU) supports receiving signals from light sensors, smoke sensors, and temperature sensors to trigger safety exit sign mode switching (such as high-frequency red flashing during a fire).

[0073] The control module as a whole mainly adopts an adaptive brightness adjustment control method based on dynamic environment perception, including the following steps: The brightness control model for the lighting device is constructed as follows:

[0074] in, To maintain the minimum safe brightness power, To meet the brightness requirements of the scene, Given the current ambient brightness, This represents the average remaining energy of all nodes in the network. It is a dynamic scaling factor that satisfies , As the benchmark coefficient, when When it decreases, Automatically reduce to extend overall emergency response time.

[0075] (4) Communication module: Network Module 7: Equipped with wired and wireless access and Wi-Fi modules, it supports multi-terminal self-organizing networks, supports communication with cloud platforms, and also reserves an RJ45 Ethernet interface for wired backhaul; Antenna Module 6: Employs an omnidirectional high-gain antenna, mounted on the top of the rear panel to ensure minimal signal coverage radius.

[0076] The network module is based on dynamic topology awareness, link quality assessment, energy optimization, and distributed control. The communication module operates an energy-aware adaptive self-organizing network unit, whose core algorithms include: 1) Multidimensional link evaluation: Calculate the overall weight value of each potential communication link between each node and its neighboring nodes:

[0077] in, For the first The node's current remaining energy The initial energy of the node. This represents the number of neighbors of this node. , , This is the default configuration and can be updated remotely via the cloud.

[0078] Received signal strength RSSI is expressed as: ; in, For transmission power, This is the path loss index. For distance, This is shadow fading noise.

[0079] 2) Dynamic cluster head election.

[0080] Within a local region, calculate the energy stability factor for each node:

[0081] in, Energy priority weights; selected The highest node acts as the cluster head, responsible for aggregating data and reducing broadcast storms.

[0082] 3) Path cost optimization: During route discovery, the end-to-end path cost is calculated:

[0083] in, This represents the number of hops in the path. For the first The overall weight of hopping communication links, For adaptive weight parameters and ;choose Forward communication data packets using the shortest path.

[0084] 4) Adaptive adjustment of transmit power: Based on the communication distance between adjacent nodes in the selected communication path The remaining energy of adjacent nodes and the minimum receiving power required by the receiver are used to dynamically adjust the communication transmission power. :

[0085] in For the maximum permissible transmission power, It is an energy efficiency adjustment factor that decreases as the average surplus energy of the entire network decreases. This is the minimum demodulation power of the receiver. The system loss factor. The carrier wavelength.

[0086] 5) Link failure early warning and seamless handover: Used as the comprehensive weight value of the communication link Below the weight threshold Or the remaining energy of the node ( When the energy threshold is preset, the pre-established path is activated in advance to achieve uninterrupted communication. It can be set to 0.3. Can be set to .

[0087] (5) Power module ④: Main power input: Supports dual input of AC220V and DC36V, with built-in overvoltage and overcurrent protection circuits.

[0088] Backup power: Built-in replaceable battery pack. Lead-acid batteries are not allowed; cobalt-free lithium batteries should be used. Automatic switching occurs when the main power supply fails, with a runtime of ≥1.5 hours.

[0089] The working principle of the various modules of this fire emergency lighting device is as follows: 1. Daily monitoring mode: The communication module periodically uploads device status (such as power supply voltage, LED lifespan, and network signal strength) to the management platform, ensuring the wireless network signal strength remains normal. The lights maintain a basic brightness (e.g., 50 lumens) based on ambient light sensor data, and the self-organizing network maintains a low-power monitoring state, exchanging only beacon frames.

[0090] 2. Emergency Response Mode: Fire scene: Upon receiving a fire alarm signal from the fire protection system or if local smoke / temperature exceeds limits, the lighting immediately switches to maximum brightness, and the safety exit signs flash red at a high frequency. The self-organizing network switches to high-reliability mode. , If the module battery level is less than 30%, the Wi-Fi transmission power will be gradually reduced to prioritize lighting.

[0091] Power outage scenario: After the main power is interrupted, it automatically switches to battery power and maintains the current working mode.

[0092] 3. Power redundancy switching logic: When the main power supply is normal, the lithium battery is in a float charging state; when the main power supply voltage is lower than the threshold, the switching circuit is activated and the backup battery takes over the load.

[0093] In addition, such as Figure 5 and Figure 6 As shown, depending on the application scenario, devices for fire emergency evacuation sign lights (safety exit signs only) or fire emergency lighting lights (lighting only) can also be provided.

[0094] 4. Neighborhood compensation lighting mechanism: When a node light malfunctions: Its control unit broadcasts a compensation request via an ad hoc network, including the fault location and required illumination; neighboring nodes calculate their own... Value, if If the remaining power is greater than 40%, the brightness will be increased to cover the fault area. The system ensures that the illuminance at any point on the ground is at least 1 lux to meet the evacuation safety requirements.

[0095] For example, the fire emergency lighting device in this embodiment can also be applied to an underground parking lot. The fire emergency lighting device should be installed on the wall of the underground parking lot and is mainly used for daily monitoring and fire response, as detailed below: Routine monitoring: The device status is reported to the building management platform at regular intervals to provide users with additional access to wireless network signals.

[0096] Fire Response: Upon receiving a fire alarm, safety exit signs flash red, all lights illuminate, and the emergency broadcast system is triggered via the network module to broadcast evacuation instructions. An adaptive energy-sensing communication network is formed through a self-organizing network, increasing the communication radius of a single node and supporting real-time data interaction with the fire control center and building management platform. In case of lighting failure, neighborhood compensation lighting is activated to maintain a minimum safe lighting range. The network modules of multiple fire emergency lighting devices utilize dynamic topology sensing, link quality assessment, energy optimization, and distributed control to form a highly efficient, persistent, and stable wireless network.

[0097] The steps of the energy-sensing ad hoc network communication control method in this application embodiment may include: S1. Each emergency lighting node periodically exchanges operational information to obtain the communication signal quality, power supply status, and number of neighbors of surrounding nodes, which is used to characterize the current network environment. S2. Based on the collected neighborhood information, a comprehensive evaluation of potential communication links between nodes is conducted to form link quality indicators that reflect link stability, energy sustainability, and network load. S3. Within the local network, a virtual clustering structure is constructed based on the energy status and neighbor density of each node, and nodes with high stability and energy margin are selected as cluster head nodes to coordinate data forwarding within the region. S4. When a data transmission requirement arises, select a multi-hop communication path with better overall performance for transmission based on the link evaluation results and path energy consumption. S5. During communication, continuously monitor link quality and node operating status, and automatically switch to backup communication path when a performance degradation trend occurs; S6. Based on the overall network energy status, dynamically adjust the communication intensity and lighting output level to reduce system energy consumption while ensuring safety requirements, thereby optimizing the overall system energy consumption and extending emergency working time.

[0098] In summary, this application provides a fire emergency lighting device and its control method with self-organizing network functionality. The device includes a communication module, a lighting module, a control module, a power module, and a rear panel. The rear panel integrates multiple slots, and the lighting module, communication module, control module, and power module are installed on the rear panel through corresponding slots. The control module includes an energy-sensing self-organizing network unit, which communicates with external communication devices through the communication module. The energy-sensing self-organizing network unit includes multiple nodes. The energy-sensing self-organizing network unit further includes: a link evaluation subunit, used to calculate the comprehensive weight value of each potential communication link between the multiple nodes; a cluster head election subunit, used to construct a cluster topology structure within a local network based on each node, and elect a cluster head node within each cluster, the cluster head node being used to aggregate communication data within the corresponding cluster; a path cost optimization subunit, used to construct a communication path structure and determine the optimal communication path based on the cost of each candidate communication path in the communication path structure; and a transmit power adjustment subunit, used to dynamically adjust the transmit power of the communication module according to the optimal communication path and the minimum receive power required by the communication data receiver. Through the energy-sensing self-organizing network unit in the lighting module, communication module, and control module, the lighting device of this application can provide emergency lighting in emergency situations, and can also create and maintain a stable and reliable communication network in environments with extremely weak or no wireless signals. At the same time, it supports forming a network cluster with other communication devices to expand the coverage area, improves the communication capability in emergency situations, and thus improves the efficiency of personnel evacuation and rescue coordination capabilities, and ensures overall safety.

[0099] The embodiments described in this application are for the purpose of more clearly illustrating the technical solutions of the embodiments of this application, and do not constitute a limitation on the technical solutions provided by the embodiments of this application. As those skilled in the art will know, with the evolution of technology and the emergence of new application scenarios, the technical solutions provided by the embodiments of this application are also applicable to similar technical problems.

[0100] Those skilled in the art will understand that the technical solutions shown in the figures do not constitute a limitation on the embodiments of this application, and may include more or fewer steps than shown, or combine certain steps, or different steps.

[0101] Those skilled in the art will understand that all or some of the functional modules / units in the steps or apparatus disclosed above can be implemented as software, firmware, hardware, or suitable combinations thereof.

[0102] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of the units described above is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0103] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0104] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes multiple instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing programs, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0105] The preferred embodiments of the present application have been described above with reference to the accompanying drawings, but this does not limit the scope of the claims of the present application. Any modifications, equivalent substitutions, and improvements made by those skilled in the art without departing from the scope and substance of the embodiments of the present application shall be within the scope of the claims of the present application.

Claims

1. A fire emergency lighting device with self-organizing network function, characterized in that, The lighting device includes a communication module, a lighting module, a control module, a power module, and a rear panel. The rear panel integrates multiple slots, and the lighting module, the communication module, the control module, and the power module are installed on the rear panel through corresponding slots. The control module includes an energy-sensing self-organizing network unit, wherein the energy-sensing self-organizing network unit is used to communicate with external communication devices through the communication module; wherein the energy-sensing self-organizing network unit includes multiple nodes: The link evaluation subunit is used to calculate the comprehensive weight value of each potential communication link between the multiple nodes; The cluster head election subunit is used to construct a cluster topology within a local network based on each of the nodes, and to elect a cluster head node within each cluster, wherein the cluster head node is used to aggregate communication data within the corresponding cluster; The path cost optimization subunit is used to construct the communication path structure and determine the optimal communication path based on the cost of each candidate communication path in the communication path structure. The transmit power adjustment subunit is used to dynamically adjust the transmit power of the communication module according to the optimal communication path and the minimum receive power required by the communication data receiving end.

2. The fire emergency lighting device with self-organizing network function according to claim 1, characterized in that, The lighting module includes emergency warning signs and LED lights.

3. The fire emergency lighting device with self-organizing network function according to claim 2, characterized in that, The control module also includes an emergency alert control unit and a lighting control unit; The emergency alert control unit is used to receive at least one signal from a photosensitive sensor, a smoke sensor, or a temperature sensor, and trigger the emergency alert sign to switch display modes according to the signal; The lighting control unit is used to dynamically adjust the output of the LED lighting according to the ambient brightness, and in the event of a fault in the LED lighting, it sends a compensation lighting request to nearby lighting devices through the energy-sensing self-organizing network unit.

4. The fire emergency lighting device with self-organizing network function according to claim 1, characterized in that, The energy-sensing self-organizing network unit also includes a path switching subunit; The path switching subunit is used to reconstruct the communication path structure or switch to an alternative communication path when the overall weight value of the communication link is less than a first preset threshold or the remaining energy of the node is less than a second preset threshold.

5. A self-organizing network communication control method, characterized in that, include: Calculate the overall weight value of each potential communication link between each node and its neighboring nodes; Based on the remaining energy of each node and the density information of its neighboring nodes, a clustered topology is constructed within the local network, wherein the clustered topology includes multiple clusters; The nodes within each cluster are determined, and a cluster head election is performed to obtain the cluster head node of each cluster. The cluster head node aggregates the communication data within the corresponding cluster. Based on the comprehensive weight value of each potential communication link within each cluster and the remaining energy of each node within the cluster, forwarding paths are constructed between clusters to obtain a communication path structure, wherein the communication path structure includes multiple candidate communication paths. The cost of each of the candidate communication paths is evaluated, and the optimal communication path is determined based on the cost of each of the candidate communication paths. The communication transmission power is adjusted according to the optimal communication path and the minimum receiving power required by the communication data receiving end, and the communication data is sent to the communication data receiving end with the adjusted communication transmission power.

6. The self-organizing network communication control method according to claim 5, characterized in that, The calculation of the comprehensive weight value of each potential communication link between each node and its neighboring nodes includes: Each node calculates a comprehensive weight value for each potential communication link between itself and its neighbors based on the received signal strength of the communication link, the node's remaining energy, and the density information of its neighboring nodes. The expression for calculating the comprehensive weight value is as follows: In the formula, This is the overall weight value of the communication link. For the first The node's current remaining energy The initial energy of the node. This represents the number of neighbors of the node. , and For preset weighting coefficients, The current received signal strength of the node. This represents the strongest signal strength that the node can receive.

7. The self-organizing network communication control method according to claim 5, characterized in that, The process of electing cluster heads to obtain the cluster head nodes for each cluster includes: Calculate the energy stability factor for each node within each cluster, where the expression for the energy stability factor is: In the formula, θ is the energy stability factor, and θ∈(0,1) is the energy priority weight; Cluster heads are elected based on the energy stability factors of each node within each cluster, thus obtaining the cluster head nodes for each cluster.

8. The self-organizing network communication control method according to claim 5, characterized in that, The cost of evaluating each of the candidate communication paths includes: Obtain the comprehensive weight value of each communication link corresponding to each candidate communication path and the energy consumption characteristics of the nodes on the candidate communication path; Based on the comprehensive weight values ​​of each communication link corresponding to the candidate communication path and the energy consumption characteristics of the nodes on the candidate communication path, the cost of each candidate communication path is evaluated, wherein the expression for the cost is: In the formula, At the cost, For the first The overall weight value of hopping communication links, For adaptive weight parameters, This represents the number of hops along the path.

9. The self-organizing network communication control method according to claim 5, characterized in that, The step of adjusting the communication transmission power according to the optimal communication path and the minimum receiving power required by the communication data receiver includes: Obtain the communication distance between adjacent nodes corresponding to the optimal communication path and the remaining energy of the adjacent nodes; The communication transmission power is adjusted based on the communication distance between the adjacent nodes, the remaining energy of the adjacent nodes, and the minimum receiving power required by the communication data receiver.

10. The self-organizing network communication control method according to claim 5, characterized in that, The method further includes: When the overall weight value of the communication link is detected to be less than the first preset threshold or the remaining energy of the node is less than the second preset threshold, the communication path structure is reconstructed or the communication path is switched to an alternative communication path.

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