A method for extending the working time of NB smoke alarm

Abstract

The present invention relates to the field of wireless communication technology, and in particular to a method for extending the working time of an NB smoke alarm. The method comprises the following steps: performing hardware optimization design processing on the NB smoke alarm to obtain the NB smoke hardware optimized alarm; performing working mode switching processing on the NB smoke hardware optimized alarm to obtain the NB smoke alarm low power sleep working mode or the NB smoke alarm normal working mode; when the NB smoke alarm is in the low power sleep working mode, timed wake-up is switched to the NB smoke alarm normal working mode; when the NB smoke alarm is in the normal working mode, the NB smoke alarm is subjected to alarm signal monitoring processing and alarm signal transmission power adjustment processing, and an alarm signal transmission power dynamic adjustment strategy is generated to execute the corresponding NB smoke alarm working time extension operation. The present invention can effectively extend the working life of the smoke alarm.

Description

Technical Field

[0001] The present invention relates to the technical field of wireless communications, and in particular to a method for extending the working time of a NB smoke alarm. Background Art

[0002] Smoke alarms are safety devices used to detect smoke concentration in the air and sound an alarm. NB smoke alarms (Narrowband Smoke Alarms) are smoke alarms that use narrowband technology to transmit smoke alarm information. Their specific implementation process can sound an alarm when smoke is detected and send alarm information through a wireless network. However, traditional NB smoke alarms are usually powered by batteries, and the battery capacity is limited, which limits the working time of NB smoke alarms. At the same time, the currently known methods for extending the working time of NB smoke alarms often have problems such as high energy consumption and short battery life. Summary of the invention

[0003] Based on this, it is necessary for the present invention to provide a method for extending the working time of a NB smoke alarm to solve at least one of the above technical problems.

[0004] To achieve the above object, a method for extending the working time of a NB smoke alarm comprises the following steps:

[0005] Step S1: performing network aperture array arrangement optimization processing on the sensor of the NB smoke alarm to obtain the NB smoke alarm sensor optimization array network; performing network communication optimization processing on the communication module of the NB smoke alarm based on the NB smoke alarm sensor optimization array network to obtain the NB smoke alarm network communication optimization module;

[0006] Step S2: performing hardware optimization design processing on the NB smoke alarm according to the NB smoke alarm sensor optimization array network and the NB smoke alarm network communication optimization module to obtain the NB smoke hardware optimized alarm; performing working mode switching processing on the NB smoke hardware optimized alarm based on the NB smoke alarm network communication optimization module to obtain the NB smoke alarm low power sleep working mode or the NB smoke alarm normal working mode;

[0007] Step S3: when it is determined that the working mode of the NB smoke hardware optimized alarm is the NB smoke alarm low power sleep working mode, a timed wake-up control process is performed on the NB smoke hardware optimized alarm based on the NB smoke alarm sensor optimization array network to generate a NB smoke alarm timed wake-up control condition; according to the NB smoke alarm timed wake-up control condition, the NB smoke alarm low power sleep working mode is switched to the NB smoke alarm normal working mode by timed wake-up;

[0008] Step S4: When it is determined that the working mode of the NB smoke hardware optimization alarm is the normal working mode of the NB smoke alarm, the alarm signal of the NB smoke hardware optimization alarm is monitored and processed to obtain the NB smoke alarm alarm signal; based on the NB smoke alarm network communication optimization module, the alarm signal sending power of the NB smoke alarm alarm signal is adjusted, and an alarm signal sending power dynamic adjustment strategy is generated to execute the corresponding NB smoke alarm working time extension operation.

[0009] The present invention first optimizes the arrangement of the network aperture array of the sensors of the NB smoke alarm, and can effectively adjust the spacing and arrangement of the sensors to minimize the blind spots and overlapping areas in the signal monitoring of the NB smoke alarm. This optimization process takes into account the coverage and monitoring efficiency of the sensors to improve the overall performance and stability of the signal monitoring of the NB smoke alarm, thereby ensuring the comprehensive coverage and accurate monitoring of the signal monitoring of the NB smoke alarm, and improving the practicality and reliability of the NB smoke alarm. At the same time, the communication module of the NB smoke alarm is optimized for network communication by combining the NB smoke alarm sensor optimization array network to improve the communication efficiency and stability of the signal monitoring of the NB smoke alarm. This optimization process includes the use of low-power wireless communication protocols and communication path optimization to ensure the timely transmission and accurate reception of monitoring data, which can reduce the energy consumption of the NB smoke alarm hardware and extend the service life of the NB smoke alarm battery, thereby providing strong support for the subsequent extension of the alarm's working time. Secondly, by optimizing the design of the relevant hardware in the NB smoke alarm according to the specific design methods of the NB smoke alarm sensor optimization array network and the NB smoke alarm network communication optimization module, the overall performance of the NB smoke alarm can be improved. The optimized design of the NB smoke alarm sensor optimization array network can improve the accuracy and sensitivity of smoke detection, thereby detecting potential fire hazards more quickly; at the same time, the optimized design of the NB smoke alarm network communication optimization module can enhance the communication stability and efficiency between the smoke alarm and the external system, ensure the timely transmission and accurate reception of monitoring data, thereby improving the overall reliability and response speed of the NB smoke alarm. By using the NB smoke alarm network communication optimization module to monitor the no-signal duration of the NB smoke hardware optimized alarm, and timely monitor the operating time of the NB smoke alarm when there is no alarm signal, it is helpful to monitor when the NB smoke alarm has not detected smoke or no alarm signal for a long time, and can take the corresponding low-power sleep working mode or normal working mode switching process to ensure the energy consumption of the NB smoke alarm, and can also extend the service life of the NB smoke alarm battery, so that the NB smoke alarm can minimize energy consumption without affecting the monitoring effect, so as to extend the battery life and the working time of the NB smoke alarm, thereby improving the battery life of the NB smoke alarm.Then, when it is determined that the working mode of the NB smoke hardware optimization alarm is the NB smoke alarm low-power sleep working mode, the NB smoke hardware optimization alarm is subjected to timed wake-up control processing by using the NB smoke alarm sensor optimization array network to generate a timed wake-up control condition. This processing method can monitor environmental changes and energy consumption through the NB smoke alarm sensor optimization array network, intelligently control the wake-up time of the NB smoke alarm, ensure timely wake-up when needed, and minimize energy consumption, extend the battery life of the NB smoke alarm, and minimize energy consumption without affecting the monitoring effect, thereby extending the working time of the NB smoke alarm. Subsequently, the NB smoke alarm low-power sleep working mode is switched to the NB smoke alarm normal working mode according to the generated NB smoke alarm timed wake-up control condition. This switching method can ensure that the alarm can respond quickly when necessary, and at the same time ensure that energy consumption is minimized when not needed, thereby realizing intelligent management and optimization of the NB smoke alarm working mode. Finally, when it is determined that the working mode of the NB smoke hardware optimization alarm is the normal working mode of the NB smoke alarm, the alarm signal of the NB smoke hardware optimization alarm is monitored and processed to obtain the alarm signal of the NB smoke alarm. By monitoring the alarm signal, emergency situations such as smoke or fire can be discovered in time, thereby providing basic data guarantee for the subsequent processing process. In addition, the power of the NB smoke alarm alarm signal is dynamically adjusted by monitoring the corresponding network signal strength and transmission distance and other factors with the help of the NB smoke alarm network communication optimization module, thereby generating a dynamic adjustment strategy for the alarm signal transmission power to extend the working time of the NB smoke alarm. By adjusting the transmission power, it is possible to provide stable and reliable alarm signal transmission under different network environments, so as to dynamically adjust the transmission power of the NB smoke alarm according to factors such as network signal strength and transmission distance, so as to reduce power consumption as much as possible while ensuring communication quality, and extend the service life of the NB smoke alarm, thereby extending the working time of the NB smoke alarm. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments thereof made with reference to the following drawings:

[0011] Figure 1 A schematic flow chart of the steps of the method for extending the working time of a NB smoke alarm according to the present invention;

[0012] Figure 2 for Figure 1 Detailed step flow diagram of step S1;

[0013] Figure 3 for Figure 2Detailed step flow chart of step S11 in FIG. DETAILED DESCRIPTION

[0014] The following is a clear and complete description of the technical method of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by technicians in this field without creative work are within the scope of protection of the present invention.

[0015] In addition, the accompanying drawings are only schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor methods and / or microcontroller methods.

[0016] It should be understood that, although the terms "first", "second", etc. may be used herein to describe various units, these units should not be limited by these terms. These terms are used only to distinguish one unit from another unit. For example, without departing from the scope of the exemplary embodiments, the first unit may be referred to as the second unit, and similarly the second unit may be referred to as the first unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items.

[0017] To achieve this, please refer to Figures 1 to 3 The present invention provides a method for extending the working time of a NB smoke alarm, the method comprising the following steps:

[0018] Step S1: performing network aperture array arrangement optimization processing on the sensor of the NB smoke alarm to obtain the NB smoke alarm sensor optimization array network; performing network communication optimization processing on the communication module of the NB smoke alarm based on the NB smoke alarm sensor optimization array network to obtain the NB smoke alarm network communication optimization module;

[0019] Step S2: performing hardware optimization design processing on the NB smoke alarm according to the NB smoke alarm sensor optimization array network and the NB smoke alarm network communication optimization module to obtain the NB smoke hardware optimized alarm; performing working mode switching processing on the NB smoke hardware optimized alarm based on the NB smoke alarm network communication optimization module to obtain the NB smoke alarm low power sleep working mode or the NB smoke alarm normal working mode;

[0020] Step S3: when it is determined that the working mode of the NB smoke hardware optimized alarm is the NB smoke alarm low power sleep working mode, a timed wake-up control process is performed on the NB smoke hardware optimized alarm based on the NB smoke alarm sensor optimization array network to generate a NB smoke alarm timed wake-up control condition; according to the NB smoke alarm timed wake-up control condition, the NB smoke alarm low power sleep working mode is switched to the NB smoke alarm normal working mode by timed wake-up;

[0021] Step S4: When it is determined that the working mode of the NB smoke hardware optimization alarm is the normal working mode of the NB smoke alarm, the alarm signal of the NB smoke hardware optimization alarm is monitored and processed to obtain the NB smoke alarm alarm signal; based on the NB smoke alarm network communication optimization module, the alarm signal sending power of the NB smoke alarm alarm signal is adjusted, and an alarm signal sending power dynamic adjustment strategy is generated to execute the corresponding NB smoke alarm working time extension operation.

[0022] In the embodiment of the present invention, please refer to Figure 1 FIG. 1 is a flow chart of the steps of the method for extending the working time of the NB smoke alarm according to the present invention. In this example, the method for extending the working time of the NB smoke alarm includes the following steps:

[0023] Step S1: performing network aperture array arrangement optimization processing on the sensor of the NB smoke alarm to obtain the NB smoke alarm sensor optimization array network; performing network communication optimization processing on the communication module of the NB smoke alarm based on the NB smoke alarm sensor optimization array network to obtain the NB smoke alarm network communication optimization module;

[0024] The embodiment of the present invention monitors the network coverage according to the network technical specifications of each sensor in the NB smoke alarm to fully understand the network coverage and distribution of each sensor in the NB smoke alarm, and analyzes the network coverage distribution of each sensor by using the space simulation analysis technology to simulate the network coverage of each sensor network in the space, and adjusts the position and direction of the corresponding sensor node in the coverage blind area of ​​the alarm sensor network space according to the network coverage obtained by the simulation analysis to minimize the network coverage blind area of ​​the sensor nodes in the area, and comprehensively considers the response performance and energy consumption of the network to analyze the network porosity in the alarm sensor network space, and analyzes the intervals between the corresponding sensor nodes in the alarm sensor network space according to the size of the network porosity obtained by the analysis to determine how to arrange the sensor nodes more reasonably according to the network porosity, such as adjusting the position of the sensor node or increasing the node density, and optimizing the arrangement of the corresponding sensor nodes in the alarm sensor network space to adjust the position and layout of the sensor nodes, and eliminate the blind area in the NB smoke alarm signal monitoring, thereby obtaining the NB smoke alarm sensor optimization array network. Secondly, the communication module of the NB smoke alarm is monitored by using the communication environment monitoring sensor within the NB smoke alarm sensor optimization array network to monitor and evaluate the network communication environment status of the NB smoke alarm signal within the communication module, including communication distance, communication frequency, signal strength, network congestion, signal interference, packet loss rate and other related data, and determine the actual needs of the NB smoke alarm under the current communication environment, including understanding the changing trend of the communication frequency, the impact of network congestion and the adaptability of the communication module in different environments. Then, by combining the network communication environment demand data obtained through analysis, the communication module of the NB smoke alarm is optimized with corresponding software and hardware using a low-power wireless communication protocol suitable for the current communication environment (such as NB-IoT, LoRaWAN, etc.), so as to reduce power consumption while improving its communication efficiency, and enhance stability and reliability under different network conditions, and finally obtain the NB smoke alarm network communication optimization module.

[0025] Step S2: performing hardware optimization design processing on the NB smoke alarm according to the NB smoke alarm sensor optimization array network and the NB smoke alarm network communication optimization module to obtain the NB smoke hardware optimized alarm; performing working mode switching processing on the NB smoke hardware optimized alarm based on the NB smoke alarm network communication optimization module to obtain the NB smoke alarm low power sleep working mode or the NB smoke alarm normal working mode;

[0026] The embodiment of the present invention optimizes the design of the relevant hardware in the NB smoke alarm according to the specific design method of the NB smoke alarm sensor optimization array network and the NB smoke alarm network communication optimization module, so as to optimize the layout and configuration of the sensors in the NB smoke alarm through the NB smoke alarm sensor optimization array network, so as to maximize the accuracy and coverage of environmental monitoring, and ensure that the NB smoke alarm can accurately detect smoke and other environmental changes. At the same time, the communication performance of the NB smoke alarm is optimized with the help of the NB smoke alarm network communication optimization module, including selecting a suitable wireless communication protocol to optimize the data transmission mechanism between the NB smoke alarm and the base station, and ensure that the NB smoke alarm can communicate with other devices or systems stably and efficiently, thereby obtaining a NB smoke hardware optimized alarm. Secondly, the NB smoke alarm network communication optimization module is used to detect the duration of the NB smoke hardware optimized alarm in the state of no alarm signal, so as to timely monitor the operation time of the NB smoke hardware optimized alarm when there is no alarm signal, and make judgments and analyses. If it is judged that the duration of the alarm without an alarm signal is greater than or equal to the preset value, it means that no smoke or fire incidents occurred during this time period, and the working mode of the NB smoke hardware optimized alarm is automatically switched from the NB smoke alarm normal working mode to the NB smoke alarm low power sleep working mode to save the energy consumption of the NB smoke alarm and extend the battery life. Then, if it is judged that the duration of the alarm without an alarm signal is less than the preset value, it means that smoke time or other fire abnormalities may still occur during this time period. At this time, the working mode of the NB smoke hardware optimized alarm needs to be maintained in the normal working mode of the NB smoke alarm, and ensure that it can respond in real time and send out an alarm signal when a dangerous situation may occur during this period.

[0027] Step S3: when it is determined that the working mode of the NB smoke hardware optimized alarm is the NB smoke alarm low power sleep working mode, a timed wake-up control process is performed on the NB smoke hardware optimized alarm based on the NB smoke alarm sensor optimization array network to generate a NB smoke alarm timed wake-up control condition; according to the NB smoke alarm timed wake-up control condition, the NB smoke alarm low power sleep working mode is switched to the NB smoke alarm normal working mode by timed wake-up;

[0028] The embodiment of the present invention firstly judges and determines that the working mode of the NB smoke hardware optimization alarm is the NB smoke alarm low-power sleep working mode. The NB smoke alarm low-power sleep working mode is a working mode that automatically enters a low-power sleep state when the NB smoke alarm does not detect smoke or alarm signal for a long time. The relevant sensors in the NB smoke alarm sensor optimization array network (such as temperature, humidity, air pressure, smoke, energy consumption monitoring and other sensors) are used to monitor the surrounding environment conditions of the NB smoke hardware optimization alarm and the energy consumption of the internal hardware in real time, so as to timely discover the information parameters in the environment around the NB smoke alarm (such as temperature, humidity, air pressure and other environmental parameters) and the energy consumption of the hardware equipment, and analyze the monitored data to obtain the corresponding abnormal environmental changes and energy consumption control demand data. Secondly, by comprehensively considering the environmental abnormalities obtained by analysis, The wake-up frequency and wake-up duration of the NB smoke hardware optimization alarm are dynamically controlled to meet the needs of constant changes and energy consumption control. The wake-up frequency and wake-up duration of the NB smoke alarm are adjusted according to abnormal changes in the surrounding environment and hardware energy consumption requirements, so that the NB smoke alarm can be woken up in time in the low-power sleep working mode of the NB smoke alarm and ensure that the alarm requirements are met while minimizing the energy consumption of the NB smoke alarm, and reasonably control the control conditions such as the wake-up frequency and duration of the NB smoke alarm. Then, the working mode of the NB smoke alarm is woken up in the low-power sleep working mode of the NB smoke alarm at an appropriate time according to the previously determined wake-up control conditions (including the wake-up frequency and the wake-up timing), and switched to the normal working mode of the NB smoke alarm to ensure that the NB smoke alarm can respond quickly to the alarm when necessary, and at the same time ensure that energy consumption is minimized when it is not needed.

[0029] Step S4: When it is determined that the working mode of the NB smoke hardware optimization alarm is the normal working mode of the NB smoke alarm, the alarm signal of the NB smoke hardware optimization alarm is monitored and processed to obtain the NB smoke alarm alarm signal; based on the NB smoke alarm network communication optimization module, the alarm signal sending power of the NB smoke alarm alarm signal is adjusted, and an alarm signal sending power dynamic adjustment strategy is generated to execute the corresponding NB smoke alarm working time extension operation.

[0030] The embodiment of the present invention first judges and determines that the working mode of the NB smoke hardware optimized alarm is the normal working mode of the NB smoke alarm. The normal working mode of the NB smoke alarm is the working state mode of normally monitoring the fire signal information in the surrounding environment anytime and anywhere. Then, the optimized NB smoke hardware optimized alarm is monitored at any time by using an alarm signal monitoring device to monitor and obtain the alarm signal that may be generated by the NB smoke alarm in the current time period, thereby obtaining the NB smoke alarm alarm signal. Secondly, the network signal strength of the generated NB smoke alarm alarm signal and the signal transmission distance between the base station are monitored by using the NB smoke alarm network communication optimization module to monitor the network signal strength and transmission distance of the NB smoke alarm signal during network transmission, and according to the comprehensive evaluation of the network signal strength and transmission distance, the conditions of the NB smoke alarm signal in the network transmission environment are determined, including the attenuation of the signal strength, the influence of the transmission distance, etc. Then, the network transmission power of the generated NB smoke alarm signal is adjusted according to the network transmission environment conditions obtained by the previous analysis to dynamically adjust the transmission power of the NB smoke alarm signal, and the relevant hardware (such as the battery) of the NB smoke alarm is used for adjustment, so as to generate a dynamic adjustment strategy for the alarm signal transmission power, and at the same time, the generated dynamic adjustment strategy is applied to the actual NB smoke alarm working time extension work of the NB smoke alarm to ensure that the alarm signal can be effectively sent under different environmental conditions and the working life of its battery can be extended, thereby extending the working time of the NB smoke alarm.

[0031] The present invention first optimizes the arrangement of the network aperture array of the sensors of the NB smoke alarm, and can effectively adjust the spacing and arrangement of the sensors to minimize the blind spots and overlapping areas in the signal monitoring of the NB smoke alarm. This optimization process takes into account the coverage and monitoring efficiency of the sensors to improve the overall performance and stability of the signal monitoring of the NB smoke alarm, thereby ensuring the comprehensive coverage and accurate monitoring of the signal monitoring of the NB smoke alarm, and improving the practicality and reliability of the NB smoke alarm. At the same time, the communication module of the NB smoke alarm is optimized for network communication by combining the NB smoke alarm sensor optimization array network to improve the communication efficiency and stability of the signal monitoring of the NB smoke alarm. This optimization process includes the use of low-power wireless communication protocols and communication path optimization to ensure the timely transmission and accurate reception of monitoring data, which can reduce the energy consumption of the NB smoke alarm hardware and extend the service life of the NB smoke alarm battery, thereby providing strong support for the subsequent extension of the alarm's working time. Secondly, by optimizing the design of the relevant hardware in the NB smoke alarm according to the specific design methods of the NB smoke alarm sensor optimization array network and the NB smoke alarm network communication optimization module, the overall performance of the NB smoke alarm can be improved. The optimized design of the NB smoke alarm sensor optimization array network can improve the accuracy and sensitivity of smoke detection, thereby detecting potential fire hazards more quickly; at the same time, the optimized design of the NB smoke alarm network communication optimization module can enhance the communication stability and efficiency between the smoke alarm and the external system, ensure the timely transmission and accurate reception of monitoring data, thereby improving the overall reliability and response speed of the NB smoke alarm. By using the NB smoke alarm network communication optimization module to monitor the no-signal duration of the NB smoke hardware optimized alarm, and timely monitor the operating time of the NB smoke alarm when there is no alarm signal, it is helpful to monitor when the NB smoke alarm has not detected smoke or no alarm signal for a long time, and can take the corresponding low-power sleep working mode or normal working mode switching process to ensure the energy consumption of the NB smoke alarm, and can also extend the service life of the NB smoke alarm battery, so that the NB smoke alarm can minimize energy consumption without affecting the monitoring effect, so as to extend the battery life and the working time of the NB smoke alarm, thereby improving the battery life of the NB smoke alarm.Then, when it is determined that the working mode of the NB smoke hardware optimization alarm is the NB smoke alarm low-power sleep working mode, the NB smoke hardware optimization alarm is subjected to timed wake-up control processing by using the NB smoke alarm sensor optimization array network to generate a timed wake-up control condition. This processing method can monitor environmental changes and energy consumption through the NB smoke alarm sensor optimization array network, intelligently control the wake-up time of the NB smoke alarm, ensure timely wake-up when needed, and minimize energy consumption, extend the battery life of the NB smoke alarm, and minimize energy consumption without affecting the monitoring effect, thereby extending the working time of the NB smoke alarm. Subsequently, the NB smoke alarm low-power sleep working mode is switched to the NB smoke alarm normal working mode according to the generated NB smoke alarm timed wake-up control condition. This switching method can ensure that the alarm can respond quickly when necessary, and at the same time ensure that energy consumption is minimized when not needed, thereby realizing intelligent management and optimization of the NB smoke alarm working mode. Finally, when it is determined that the working mode of the NB smoke hardware optimization alarm is the normal working mode of the NB smoke alarm, the alarm signal of the NB smoke hardware optimization alarm is monitored and processed to obtain the alarm signal of the NB smoke alarm. By monitoring the alarm signal, emergency situations such as smoke or fire can be discovered in time, thereby providing basic data guarantee for the subsequent processing process. In addition, the power of the NB smoke alarm alarm signal is dynamically adjusted by monitoring the corresponding network signal strength and transmission distance and other factors with the help of the NB smoke alarm network communication optimization module, thereby generating a dynamic adjustment strategy for the alarm signal transmission power to extend the working time of the NB smoke alarm. By adjusting the transmission power, it is possible to provide stable and reliable alarm signal transmission under different network environments, so as to dynamically adjust the transmission power of the NB smoke alarm according to factors such as network signal strength and transmission distance, so as to reduce power consumption as much as possible while ensuring communication quality, and extend the service life of the NB smoke alarm, thereby extending the working time of the NB smoke alarm.

[0032] Preferably, step S1 comprises the following steps:

[0033] Step S11: performing network coverage layout optimization simulation processing on the sensors of the NB smoke alarm to obtain an alarm sensor network coverage layout optimization simulation space;

[0034] Step S12: performing sensor array response layout processing on the sensors of the NB smoke alarm based on the alarm sensor network coverage layout optimization simulation space to obtain the NB smoke alarm sensor initial array network;

[0035] Step S13: performing network aperture array arrangement optimization processing on the NB smoke alarm sensor initial array network to obtain the NB smoke alarm sensor optimized array network;

[0036] Step S14: performing network communication environment monitoring processing on the communication module of the NB smoke alarm through the NB smoke alarm sensor optimization array network to obtain network communication environment status data of the NB smoke alarm;

[0037] Step S15: Based on the network communication environment status data of the NB smoke alarm, the communication module of the NB smoke alarm is subjected to network communication optimization processing to obtain a NB smoke alarm network communication optimization module.

[0038] As an embodiment of the present invention, refer to Figure 2 As shown, Figure 1 Detailed step flow diagram of step S1 in FIG. 1 , in this embodiment, step S1 includes the following steps:

[0039] Step S11: performing network coverage layout optimization simulation processing on the sensors of the NB smoke alarm to obtain an alarm sensor network coverage layout optimization simulation space;

[0040] The embodiment of the present invention monitors the network coverage according to the network technical specifications of each sensor in the NB smoke alarm to comprehensively understand the monitoring range and distribution of each sensor in the NB smoke alarm, and determines the network coverage distribution range of each sensor of the NB smoke alarm. It also analyzes the network coverage distribution range of each sensor by using spatial simulation analysis technology to simulate the network coverage of each sensor network in space, so as to obtain the corresponding alarm sensor network coverage simulation space. Secondly, by using the network coverage evaluation algorithm to analyze the corresponding sensor nodes in the alarm sensor network coverage simulation space, in order to evaluate the area covered by each sensor node and the quality of the network coverage effect, to quantify the network coverage and efficiency of each sensor in the NB smoke alarm, and to identify the areas of insufficient or excessive coverage in the NB smoke alarm signal monitoring, that is, the coverage blind area distribution area. Then, by combining the identified coverage blind area distribution area, the sensor position layout of the alarm sensor network coverage simulation space is optimized to adjust the position and direction of the corresponding sensor nodes in the coverage blind area distribution area in the alarm sensor network coverage simulation space, so as to minimize the network coverage blind area of ​​the sensor nodes in the area, and optimize the network coverage and performance of the NB smoke alarm signal monitoring, and finally obtain the alarm sensor network coverage layout optimization simulation space.

[0041] Step S12: performing sensor array response layout processing on the sensors of the NB smoke alarm based on the alarm sensor network coverage layout optimization simulation space to obtain the NB smoke alarm sensor initial array network;

[0042] The embodiment of the present invention performs response layout processing on the sensors of the NB smoke alarm based on the arrangement mode and posture between the corresponding sensor nodes in the simulation space of the alarm sensor network coverage layout optimization, so as to fully consider the interaction and response speed between the corresponding sensor nodes in the simulation space of the alarm sensor network coverage layout optimization, and perform array arrangement processing on the corresponding sensors in the NB smoke alarm, so as to maximize the sensitivity and response capability of the NB smoke alarm signal monitoring, and finally obtain the NB smoke alarm sensor initial array network.

[0043] Step S13: performing network aperture array arrangement optimization processing on the NB smoke alarm sensor initial array network to obtain the NB smoke alarm sensor optimized array network;

[0044] The embodiment of the present invention uses a mathematical evaluation and analysis method to evaluate and analyze the corresponding sensor nodes in the NB smoke alarm sensor initial array network, so as to gain an in-depth understanding of the network response capability of the sensor nodes and the energy consumption during operation, and determine the response evaluation index and energy consumption balance evaluation index of the NB smoke alarm sensor array network, and use the corresponding network porosity analysis algorithm to perform statistical analysis on the network porosity between the sensor nodes in the NB smoke alarm sensor initial array network by combining the response evaluation index and the energy consumption balance evaluation index generated by the evaluation, so as to comprehensively consider the response performance and energy consumption of the network, and analyze the network porosity situation existing in the NB smoke alarm sensor initial array network. Secondly, by analyzing the intervals between the corresponding sensor nodes in the NB smoke alarm sensor initial array network according to the size of the network porosity obtained by analysis, the goal of more reasonably arranging the sensor nodes is determined according to the network porosity situation, such as adjusting the position of the sensor nodes or increasing the node density, and optimizing the arrangement of the corresponding sensor nodes in the NB smoke alarm sensor initial array network to adjust the position and layout of the sensor nodes, so that the network porosity in the NB smoke alarm sensor initial array network is minimized and the best monitoring coverage effect is achieved, while eliminating the blind spots in the NB smoke alarm signal monitoring, and finally obtaining the NB smoke alarm sensor optimized array network.

[0045] Step S14: performing network communication environment monitoring processing on the communication module of the NB smoke alarm through the NB smoke alarm sensor optimization array network to obtain network communication environment status data of the NB smoke alarm;

[0046] The embodiment of the present invention monitors the communication module of the NB smoke alarm by using the communication environment monitoring sensor within the NB smoke alarm sensor optimization array network to monitor and evaluate the network communication environment status of the NB smoke alarm signal within the communication module, including communication distance, communication frequency, signal strength, network congestion, signal interference, packet loss rate and other related data, and finally obtains the NB smoke alarm network communication environment status data.

[0047] Step S15: Based on the network communication environment status data of the NB smoke alarm, the communication module of the NB smoke alarm is subjected to network communication optimization processing to obtain a NB smoke alarm network communication optimization module.

[0048] The embodiment of the present invention first extracts corresponding data from the network communication environment status data of the NB smoke alarm, including communication frequency data and network congestion data, wherein the communication frequency data involves the frequency of the alarm signal of the NB smoke alarm communicating within a specific time period, and the network congestion data reflects the degree of congestion of the alarm signal transmitted in the communication network, and performs demand analysis on the communication module of the NB smoke alarm by combining the extracted network communication frequency data and network congestion data, so as to analyze the influence of the communication frequency and network congestion on the communication performance of the NB smoke alarm, and determine the actual demand of the NB smoke alarm in the current communication environment, including understanding the change trend of the communication frequency, the influence degree of the network congestion and the adaptability of the communication module in different environments, and then, by combining the network communication environment demand data obtained by the analysis, the communication module of the NB smoke alarm is optimized with corresponding software and hardware using a low-power wireless communication protocol (such as NB-IoT, LoRaWAN, etc.) suitable for the current communication environment, so as to reduce power consumption while improving its communication efficiency, and enhance stability and reliability under different network conditions, and finally obtain the NB smoke alarm network communication optimization module.

[0049] The present invention firstly performs network coverage layout optimization simulation processing on the sensors of NB smoke alarm, which can effectively determine the coverage and layout of the alarm sensor network. This optimization simulation takes into account factors such as the location of the sensor, the network signal transmission range, and the coverage efficiency, so as to maximize the monitoring range and accuracy. The obtained alarm sensor network coverage layout optimization simulation space can provide important guidance for subsequent sensor layout, ensuring the effectiveness and reliability of sensor monitoring. Secondly, by performing sensor array response layout processing on the sensors of NB smoke alarm based on the alarm sensor network coverage layout optimization simulation space, the sensor array layout of NB smoke alarm can be effectively designed. This processing takes into account the interaction and response speed between the corresponding sensors in the NB smoke alarm, so as to maximize the sensitivity and response capability of NB smoke alarm signal monitoring, thereby providing a basis for subsequent network layout and optimization, and ensuring the efficient operation of NB smoke alarm signal monitoring. Then, by optimizing the network gap array arrangement of the NB smoke alarm sensor initial array network, the spacing and arrangement between sensors can be effectively adjusted to minimize the blind spots and overlapping areas in the NB smoke alarm signal monitoring. This optimization process takes into account the coverage and monitoring efficiency of the sensors to improve the overall performance and stability of the NB smoke alarm signal monitoring, thereby ensuring the comprehensive coverage and accurate monitoring of the NB smoke alarm signal monitoring, and improving the practicality and reliability of the NB smoke alarm. Next, the network communication environment monitoring process of the NB smoke alarm communication module is carried out through the NB smoke alarm sensor optimization array network, which can comprehensively evaluate the network communication environment of the NB smoke alarm signal. This process takes into account the stability and transmission speed of the communication signal, as well as possible interference and network congestion, and provides an important basis for the communication optimization of the communication module, thereby providing a reference for the subsequent optimization and adjustment of the communication module, ensuring the smooth and stable communication of the NB smoke alarm signal monitoring. Finally, the communication module of the NB smoke alarm is optimized based on the network communication environment status data of the NB smoke alarm to improve the communication efficiency and stability of the NB smoke alarm signal monitoring. This optimization process includes the use of low-power wireless communication protocols and communication path optimization to ensure timely transmission and accurate reception of monitoring data, which can reduce the energy consumption of the NB smoke alarm hardware and extend the service life of the NB smoke alarm battery, thereby providing strong support for the subsequent extension of the alarm's working time.

[0050] Preferably, step S11 includes the following steps:

[0051] Step S111: performing network coverage monitoring processing on the sensors of the NB smoke alarm to obtain network coverage distribution information data of each sensor;

[0052] Step S112: performing range distribution topology analysis on the network coverage distribution information data of each sensor to obtain network coverage distribution topology data of each sensor; performing spatial distribution feature analysis on the network coverage distribution topology data of each sensor to obtain network coverage distribution feature data of each sensor;

[0053] Step S113: performing feature point set sampling processing on the network coverage distribution feature data of each sensor to obtain a network coverage distribution feature point set of each sensor;

[0054] Step S114: performing network coverage space simulation analysis on the network coverage distribution topology data of each sensor based on the network coverage distribution feature point set of each sensor to obtain the alarm sensor network coverage simulation space;

[0055] Step S115: performing sensor space layout optimization processing on the alarm sensor network coverage simulation space to obtain the alarm sensor network coverage layout optimization simulation space.

[0056] As an embodiment of the present invention, refer to Figure 3 As shown, Figure 2 Detailed step flow diagram of step S11 in the embodiment, step S11 includes the following steps:

[0057] Step S111: performing network coverage monitoring processing on the sensors of the NB smoke alarm to obtain network coverage distribution information data of each sensor;

[0058] The embodiment of the present invention monitors the network coverage according to the network technical specifications of each sensor in the NB smoke alarm to comprehensively understand the monitoring range and distribution of each sensor in the NB smoke alarm, and determines the network coverage distribution range of each sensor in the NB smoke alarm, and finally obtains the network coverage distribution information data of each sensor.

[0059] Step S112: performing range distribution topology analysis on the network coverage distribution information data of each sensor to obtain network coverage distribution topology data of each sensor; performing spatial distribution feature analysis on the network coverage distribution topology data of each sensor to obtain network coverage distribution feature data of each sensor;

[0060] The embodiment of the present invention uses a spatial distribution topology analysis method to analyze the network coverage distribution information data of each sensor, so as to deeply understand the coverage relationship and topology between each sensor in the NB smoke alarm, thereby obtaining the network coverage distribution topology data of each sensor. Then, the obtained network coverage distribution topology data of each sensor is analyzed by using a spatial feature analysis method (such as a convolutional neural network, etc.) to identify the feature information of the spatial layout of each sensor in the NB smoke alarm, such as the spatial distribution feature information of dense areas and sparse areas, and finally obtain the network coverage distribution feature data of each sensor.

[0061] Step S113: performing feature point set sampling processing on the network coverage distribution feature data of each sensor to obtain a network coverage distribution feature point set of each sensor;

[0062] The embodiment of the present invention performs sampling processing on the distribution feature points of the analyzed network coverage distribution feature data of each sensor to select representative distribution feature points to reduce the amount of data and retain key information of the NB smoke alarm monitoring network coverage, and at the same time aggregates the selected distribution feature points to finally obtain a set of network coverage distribution feature points of each sensor.

[0063] Step S114: performing network coverage space simulation analysis on the network coverage distribution topology data of each sensor based on the network coverage distribution feature point set of each sensor to obtain the alarm sensor network coverage simulation space;

[0064] The embodiment of the present invention uses spatial simulation analysis technology to analyze the network coverage distribution topology data of each sensor by combining the network coverage distribution feature point set of each sensor obtained by sampling, so as to simulate the network coverage of each sensor network in space, and finally obtain the alarm sensor network coverage simulation space.

[0065] Step S115: performing sensor space layout optimization processing on the alarm sensor network coverage simulation space to obtain the alarm sensor network coverage layout optimization simulation space.

[0066] The embodiment of the present invention uses a map or a coordinate system to perform node annotation processing on the corresponding sensors in the alarm sensor network coverage simulation space to accurately determine the position and distribution node of each sensor in the alarm sensor network coverage simulation space, and uses a network coverage evaluation algorithm to analyze the marked sensor nodes of each network coverage simulation space to evaluate the area covered by each network coverage simulation space sensor node and the quality of network coverage effect, so as to quantify the network coverage and efficiency of each sensor in the NB smoke alarm, and identify the areas with insufficient or excessive coverage in the NB smoke alarm signal monitoring, that is, the coverage blind area distribution area, and then, by combining the identified coverage blind area distribution area, the sensor position layout of the alarm sensor network coverage simulation space is optimized to adjust the position and direction of the corresponding sensor node in the coverage blind area distribution area in the alarm sensor network coverage simulation space, so as to minimize the network coverage blind area of ​​the sensor nodes in the area, and optimize the network coverage and performance of the NB smoke alarm signal monitoring, and finally obtain the alarm sensor network coverage layout optimization simulation space.

[0067] The present invention firstly performs network coverage monitoring and processing on the sensors of the NB smoke alarm, so as to fully understand the monitoring range and distribution of each sensor in the NB smoke alarm, which helps to determine the coverage of the NB smoke alarm signal monitoring, and understand the possible blind spots or overlapping areas, thereby providing basic data support for subsequent network optimization and layout. Through this step, it can ensure a clear understanding of the coverage of the entire network of the NB smoke alarm, laying the foundation for subsequent analysis and optimization. Secondly, by performing range distribution topological analysis on the network coverage distribution information data of each sensor, it is helpful to deeply understand the coverage relationship and topological structure between each sensor in the NB smoke alarm. At the same time, by performing spatial distribution feature analysis on the network coverage distribution topological structure data of each sensor, the characteristics of the layout of each sensor in the NB smoke alarm, such as dense areas and sparse areas, can be identified, thereby providing guidance for subsequent optimization. Then, by performing feature point set sampling processing on the network coverage distribution feature data of each sensor, the feature point sets obtained by sampling are effective extraction of network coverage, which can simplify the data volume while retaining the key information of the NB smoke alarm monitoring network coverage, thereby providing a basis for subsequent analysis and simulation. Next, by combining the network coverage distribution feature point set of each sensor to perform network coverage space simulation analysis on the network coverage distribution topology data of each sensor, the coverage of the alarm sensor network can be simulated, which helps to evaluate the overall performance of NB smoke alarm signal monitoring, find potential problems and propose improvement plans, thereby optimizing the layout and performance of NB smoke alarm signal monitoring. Finally, by optimizing the sensor space layout of the alarm sensor network coverage simulation space, the coverage and efficiency of NB smoke alarm signal monitoring can be optimized by adjusting the position and layout of the sensors. This optimization process can improve the sensitivity and accuracy of NB smoke alarm signal monitoring, ensure that the NB smoke alarm signal monitoring process can detect dangerous situations such as smoke in a timely manner, thereby improving safety and reliability.

[0068] Preferably, step S115 includes the following steps:

[0069] Perform sensor node labeling processing on the alarm sensor network coverage simulation space to obtain the sensor nodes of the network coverage simulation space;

[0070] The embodiment of the present invention uses a map or coordinate system to perform node annotation processing on the corresponding sensors in the alarm sensor network coverage simulation space, so as to accurately determine the position and distribution node status of each sensor in the alarm sensor network coverage simulation space, ensure their positions are accurate, and finally obtain the sensor nodes of the network coverage simulation space.

[0071] Preferably, a network coverage evaluation and analysis is performed on each network coverage simulation space sensor node to obtain the network coverage of each network coverage simulation space sensor node;

[0072] The embodiment of the present invention uses a network coverage evaluation algorithm to analyze each network coverage simulation space sensor node to evaluate the area covered by each network coverage simulation space sensor node and the quality of the network coverage effect, so as to quantify the network coverage range and efficiency of each sensor in the NB smoke alarm, and finally obtain the network coverage rate of each network coverage simulation space sensor node.

[0073] Preferably, network coverage interference area monitoring processing is performed on each network coverage simulation space sensor node based on the network coverage rate of each network coverage simulation space sensor node to obtain the alarm sensor network coverage interference area;

[0074] The embodiment of the present invention performs interference area analysis on each network coverage simulation space sensor node by combining the network coverage rate of each network coverage simulation space sensor node obtained by evaluation and analysis, so as to determine the interference area existing in the NB smoke alarm signal monitoring, and identify the area with overlapping or missing coverage in the alarm sensor network coverage simulation space, and finally obtain the alarm sensor network coverage interference area.

[0075] Preferably, according to the alarm sensor network coverage interference area, the network coverage blind area identification and analysis is performed on the alarm sensor network coverage simulation space to obtain the alarm sensor network coverage blind area distribution area;

[0076] The embodiment of the present invention performs blind spot identification and analysis on the corresponding area positions in the alarm sensor network coverage simulation space based on the monitored alarm sensor network coverage interference area to determine the blind spot distribution in the NB smoke alarm signal monitoring, and identify the coverage blind spot distribution area, that is, the distribution area of ​​the network that is not effectively covered by the network coverage simulation space sensor nodes in the alarm sensor network coverage simulation space, and finally obtains the alarm sensor network coverage blind spot distribution area.

[0077] Preferably, the sensor space layout optimization processing is performed on the positions and directions of sensors in the alarm sensor network coverage simulation space based on the distribution area of ​​the alarm sensor network coverage blind area to obtain the alarm sensor network coverage layout optimization simulation space.

[0078] The embodiment of the present invention optimizes the sensor position layout of the alarm sensor network coverage simulation space by combining the identified alarm sensor network coverage blind area distribution area, so as to adjust the position and direction of the corresponding sensor nodes in the alarm sensor network coverage blind area distribution area in the alarm sensor network coverage simulation space, so as to minimize the network coverage blind area of ​​the sensor nodes in the area, and optimize the network coverage range and performance of NB smoke alarm signal monitoring, and finally obtain the alarm sensor network coverage layout optimization simulation space.

[0079] The present invention firstly processes the sensor nodes in the alarm sensor network coverage simulation space by labeling, and can accurately determine the location and distribution of each sensor, which helps to establish a spatial layout model for NB smoke alarm signal monitoring, and provides basic data for subsequent network coverage analysis, so as to more effectively evaluate the performance of NB smoke alarm signal monitoring. Secondly, by evaluating and analyzing the network coverage rate of each network coverage simulation space sensor node, the network coverage and efficiency of each sensor in the NB smoke alarm can be quantified, which helps to identify the areas with insufficient or excessive coverage in the NB smoke alarm signal monitoring, and provides guidance for subsequent optimization to ensure the comprehensiveness and accuracy of the NB smoke alarm signal monitoring. Then, by monitoring the network coverage interference area of ​​the sensor nodes based on the network coverage rate of each network coverage simulation space sensor node, the interference area existing in the NB smoke alarm signal monitoring can be determined, which helps to identify the factors that may affect the NB smoke alarm signal monitoring performance, and take corresponding measures to reduce interference, thereby improving the reliability and stability of the NB smoke alarm signal monitoring process. Next, by analyzing the blind area of ​​network coverage of the alarm sensor network coverage simulation space through the alarm sensor network coverage interference area, the distribution of blind areas in NB smoke alarm signal monitoring can be determined, which helps to identify the blind spots of NB smoke alarm signal monitoring and provide a basis for subsequent layout optimization to maximize the network coverage and efficiency of NB smoke alarm signal monitoring. Finally, by optimizing the sensor space layout based on the distribution area of ​​blind area coverage of the alarm sensor network, the layout and direction of the sensors in the alarm sensor network coverage simulation space can be adjusted to optimize the network coverage and performance of NB smoke alarm signal monitoring, which helps to improve the sensitivity and accuracy of NB smoke alarm signal monitoring, ensure that the NB smoke alarm signal monitoring process can timely detect and respond to various safety risks, and improve the overall safety level, so as to provide important guidance for subsequent sensor layout to ensure the effectiveness and reliability of sensor monitoring.

[0080] Preferably, step S13 comprises the following steps:

[0081] Step S131: performing network response evaluation and analysis on the NB smoke alarm sensor initial array network to obtain an alarm sensor array network response evaluation index;

[0082] The embodiment of the present invention uses a mathematical evaluation and analysis method to evaluate and analyze the network response of the NB smoke alarm sensor initial array network to gain an in-depth understanding of the response capability of the sensor network and determine the response evaluation index of the NB smoke alarm sensor array network, including the evaluation network's performance in terms of response speed, accuracy, and stability after receiving the smoke signal, and ultimately obtains the alarm sensor array network response evaluation index.

[0083] Step S132: performing energy consumption balance evaluation and analysis on the NB smoke alarm sensor initial array network to obtain an alarm sensor array network energy consumption balance evaluation index;

[0084] The embodiment of the present invention uses a mathematical evaluation and analysis method to evaluate and analyze the corresponding sensor nodes in the NB smoke alarm sensor initial array network to evaluate the energy consumption of the NB smoke alarm sensor initial array network during operation, and determines the energy consumption balance evaluation index of the NB smoke alarm sensor array network, including the energy consumption distribution of the sensor nodes, the energy consumption peak, etc., and finally obtains the alarm sensor array network energy consumption balance evaluation index.

[0085] Step S133: performing a network porosity statistical analysis on the NB smoke alarm sensor initial array network based on the alarm sensor array network response evaluation index and the alarm sensor array network energy consumption balance evaluation index to obtain the alarm sensor array network porosity;

[0086] The embodiment of the present invention uses a corresponding network porosity analysis algorithm to perform statistical analysis on the network porosity between sensor nodes in the NB smoke alarm sensor initial array network by combining the alarm sensor array network response evaluation index and the alarm sensor array network energy consumption balance evaluation index generated by evaluation, so as to comprehensively consider the response performance and energy consumption of the network, analyze the network porosity existing in the NB smoke alarm sensor initial array network, that is, the interval between sensor nodes, and finally obtain the alarm sensor array network porosity.

[0087] Step S134: performing an array arrangement optimization target analysis on the NB smoke alarm sensor initial array network according to the alarm sensor array network porosity to obtain the alarm sensor array network arrangement optimization target;

[0088] The embodiment of the present invention analyzes the intervals between corresponding sensor nodes in the NB smoke alarm sensor initial array network according to the size of the alarm sensor array network porosity obtained by analysis, so as to determine how to more reasonably arrange the sensor nodes according to the network porosity situation, such as adjusting the position of the sensor nodes or increasing the node density, so as to fill the network porosity and improve the coverage and efficiency of NB smoke alarm signal monitoring, and finally obtain the alarm sensor array network arrangement optimization target.

[0089] Step S135: Based on the alarm sensor array network arrangement optimization target, the network gap array arrangement optimization processing is performed on the NB smoke alarm sensor initial array network to obtain the NB smoke alarm sensor optimized array network.

[0090] The embodiment of the present invention optimizes the arrangement of corresponding sensor nodes in the NB smoke alarm sensor initial array network by using the alarm sensor array network arrangement optimization target generated by analysis, so as to adjust the position and layout of the sensor nodes, so that the network porosity in the NB smoke alarm sensor initial array network is minimized and the best monitoring coverage effect is achieved, while eliminating the blind spots in the NB smoke alarm signal monitoring, and finally obtaining the NB smoke alarm sensor optimized array network.

[0091] The present invention firstly analyzes the network response of the NB smoke alarm sensor initial array network, and can deeply understand the response capability of the sensor network, including the performance in response speed, accuracy and stability, which is helpful to evaluate the timeliness and reliability of the NB smoke alarm signal monitoring for dangerous situations such as smoke, and provide basic data for the performance improvement of the NB smoke alarm signal monitoring. Secondly, by analyzing the energy consumption balance of the NB smoke alarm sensor initial array network, the energy consumption of the NB smoke alarm sensor network during the working process can be fully understood, which is helpful to find nodes or areas with high energy consumption, provide a basis for optimizing energy-saving strategies, extend the service life of the sensor network and reduce operating costs, thereby providing a basic guarantee for extending the working time of the NB smoke alarm. Then, by statistically analyzing the network gap of the NB smoke alarm sensor initial array network based on the alarm sensor array network response evaluation index and the alarm sensor array network energy consumption balance evaluation index, the idle or sparse areas in the sensor network can be determined, which is helpful to identify the coverage blind areas or areas with poor information transmission in the NB smoke alarm signal monitoring, provide a basis for subsequent optimization, and improve the comprehensiveness and reliability of the NB smoke alarm signal monitoring. Next, by analyzing the array arrangement optimization target according to the alarm sensor array network interstitial, an optimization strategy can be formulated, such as adjusting the position of sensor nodes or increasing node density, to fill the network interstitial and improve the coverage and efficiency of NB smoke alarm signal monitoring, which helps to maximize the use of existing resources and optimize the layout structure of NB smoke alarm signal monitoring, thereby improving the performance level of NB smoke alarm signal monitoring. Finally, by optimizing the network interstitial array arrangement of the NB smoke alarm sensor initial array network based on the alarm sensor array network arrangement optimization target, specific adjustment measures can be implemented, such as rearranging the position of sensor nodes or changing the layout of nodes to optimize the structure and performance of the entire network, which helps to eliminate blind spots in NB smoke alarm signal monitoring, improve the coverage and response capability of NB smoke alarm signal monitoring, and thus improve the overall benefit and application value of NB smoke alarm signal monitoring.

[0092] Preferably, step S15 comprises the following steps:

[0093] Step S151: extracting communication frequency data and network congestion data from the NB smoke alarm network communication environment status data to obtain NB smoke alarm network communication frequency data and NB smoke alarm network congestion data;

[0094] The embodiment of the present invention extracts corresponding data from the NB smoke alarm network communication environment status data, including communication frequency data and network congestion status data, wherein the communication frequency data involves the frequency of the alarm signal communication of the NB smoke alarm within a specific time period, and the network congestion data reflects the congestion level of the alarm signal transmission in the communication network, thereby gaining an in-depth understanding of the communication status of the NB smoke alarm network transmission, and ultimately obtaining the NB smoke alarm network communication frequency data and the NB smoke alarm network congestion data.

[0095] Step S152: performing a network communication environment requirement analysis on the communication module of the NB smoke alarm according to the network communication frequency data of the NB smoke alarm and the network congestion data of the NB smoke alarm, and obtaining the network communication environment requirement data of the NB smoke alarm;

[0096] The embodiment of the present invention performs a demand analysis on the communication module of the NB smoke alarm by combining the extracted NB smoke alarm network communication frequency data and the NB smoke alarm network congestion data, so as to analyze the impact of the communication frequency and network congestion on the communication performance of the NB smoke alarm, and determine the actual demand of the NB smoke alarm in the current communication environment, including understanding the changing trend of the communication frequency, the impact of network congestion and the adaptability of the communication module in different environments, and finally obtains the NB smoke alarm network communication environment demand data.

[0097] Step S153: Based on the network communication environment requirement data of the NB smoke alarm, the communication module of the NB smoke alarm is optimized through the low-power wireless communication protocol to obtain a NB smoke alarm network communication optimization module.

[0098] The embodiment of the present invention combines the NB smoke alarm network communication environment requirement data obtained through analysis and uses a low-power wireless communication protocol suitable for the current communication environment (such as NB-IoT, LoRaWAN, etc.) to perform corresponding software and hardware optimization on the communication module of the NB smoke alarm, so as to reduce power consumption while improving its communication efficiency, and enhance stability and reliability under different network conditions, and finally obtain a NB smoke alarm network communication optimization module.

[0099] The present invention first extracts and processes the communication frequency data and network congestion data of the NB smoke alarm network communication environment status data to extract the communication frequency data and network congestion data, which can deeply understand the communication situation of the alarm network, wherein the communication frequency data can understand the frequency distribution of network communication in different time periods, which is helpful to optimize the communication time period; and the network congestion data reflects the load of network communication, which can help find the areas where the network is busy or congested, and provide a basis for subsequent optimization. Then, by combining the extracted NB smoke alarm network communication frequency data and NB smoke alarm network congestion data to analyze the network communication environment requirements of the NB smoke alarm communication module, the actual requirements of the communication environment can be better understood, including understanding the changing trend of the communication frequency, the impact of network congestion, and the adaptability of the communication module in different environments, thereby providing data support for subsequent optimization and adjustment. Finally, by optimizing the network communication processing of the communication module of the NB smoke alarm through a low-power wireless communication protocol based on the network communication environment demand data of the NB smoke alarm, the communication efficiency and stability can be effectively improved. The low-power wireless communication protocol has the advantages of low energy consumption, long communication distance, and strong anti-interference ability. It can meet the needs of the alarm in different communication environments, improve communication quality and reliability, thereby enhancing the performance and user experience of NB smoke alarm signal monitoring, while ensuring the timely transmission and accurate reception of monitoring data, which can reduce the energy consumption of the NB smoke alarm hardware and extend the service life of the NB smoke alarm battery, thereby providing strong support for the subsequent extension of the alarm's working time.

[0100] Preferably, step S2 comprises the following steps:

[0101] Step S21: performing hardware optimization design processing on the NB smoke alarm according to the NB smoke alarm sensor optimization array network and the NB smoke alarm network communication optimization module to obtain a NB smoke hardware optimized alarm;

[0102] The embodiment of the present invention optimizes the design of the relevant hardware in the NB smoke alarm according to the specific design method of the NB smoke alarm sensor optimization array network and the NB smoke alarm network communication optimization module, so as to optimize the layout and configuration of the sensors in the NB smoke alarm through the NB smoke alarm sensor optimization array network, so as to maximize the accuracy and coverage of environmental monitoring, and ensure that the NB smoke alarm can accurately detect smoke and other environmental changes. At the same time, the communication performance of the NB smoke alarm is optimized with the help of the NB smoke alarm network communication optimization module, including selecting a suitable wireless communication protocol to optimize the data transmission mechanism between the NB smoke alarm and the base station, and ensure that the NB smoke alarm can communicate with other devices or systems stably and efficiently, so as to finally obtain a NB smoke hardware optimized alarm.

[0103] Step S22: monitoring and processing the no-signal duration of the NB smoke hardware optimized alarm through the NB smoke alarm network communication optimization module to obtain the no-alarm signal duration of the alarm;

[0104] The embodiment of the present invention uses the NB smoke alarm network communication optimization module to detect the duration of the NB smoke hardware optimized alarm in the state of no alarm signal, so as to timely monitor the operation time of the NB smoke hardware optimized alarm when there is no alarm signal, and finally obtain the duration of the alarm without an alarm signal.

[0105] Step S23: judging and analyzing the duration of no alarm signal of the alarm according to the preset working mode switching judgment duration, if the duration of no alarm signal of the alarm is greater than or equal to the preset working mode switching judgment duration, the working mode of the NB smoke hardware optimization alarm is switched from the NB smoke alarm normal working mode to the NB smoke alarm low power sleep working mode;

[0106] The embodiment of the present invention first uses a preset working mode switching judgment time to judge and analyze the monitored alarm no alarm signal time. If it is judged that the alarm no alarm signal time is greater than or equal to the preset working mode switching judgment time, it means that no smoke or fire incident occurred during the time period. The working mode of the NB smoke hardware optimization alarm is automatically switched from the NB smoke alarm normal working mode to the NB smoke alarm low power sleep working mode to save the energy power consumption of the NB smoke alarm and extend the battery life.

[0107] Step S24: If the duration of no alarm signal from the alarm is less than the preset working mode switching judgment duration, the working mode of the NB smoke hardware optimized alarm is maintained as the normal working mode of the NB smoke alarm.

[0108] If the embodiment of the present invention determines that the time duration without an alarm signal is less than the preset working mode switching judgment time, it means that smoke or other fire abnormalities may still occur within this time period. At this time, the working mode of the NB smoke hardware optimization alarm needs to be maintained in the normal working mode of the NB smoke alarm, and ensure that it can respond in real time and send out an alarm signal when a dangerous situation may occur during this period.

[0109] The present invention first optimizes the design of the relevant hardware in the NB smoke alarm according to the specific design mode of the NB smoke alarm sensor optimization array network and the NB smoke alarm network communication optimization module, so as to achieve the overall performance improvement of the NB smoke alarm. The optimization design of the NB smoke alarm sensor optimization array network can improve the accuracy and sensitivity of smoke detection, so as to detect potential fire hazards more quickly; at the same time, the optimization design of the NB smoke alarm network communication optimization module can enhance the communication stability and efficiency between the smoke alarm and the external system, ensure the timely transmission and accurate reception of monitoring data, thereby improving the overall reliability and response speed of the NB smoke alarm. Secondly, by using the NB smoke alarm network communication optimization module to monitor the NB smoke hardware optimization alarm without signal duration, the operation duration of the NB smoke alarm when there is no alarm signal can be monitored in time, which helps to monitor that when the NB smoke alarm has not detected smoke or no alarm signal for a long time, the corresponding low-power sleep mode can be adopted to ensure the energy consumption of the NB smoke alarm, and the service life of the NB smoke alarm battery can be extended, so that the NB smoke alarm can extend the working time as much as possible under the premise of ensuring safety. Then, by judging and analyzing the duration of no alarm signal of the alarm according to the preset working mode switching judgment duration, the working mode of the NB smoke alarm can be intelligently adjusted to optimize and save the energy consumption of the NB smoke alarm. When the duration of no alarm signal of the alarm exceeds the preset value, the working mode of the NB smoke alarm will be automatically switched to the low-power sleep working mode, thereby reducing energy consumption and extending battery life, and quickly returning to the normal working mode when needed, ensuring that the NB smoke alarm responds to dangerous events such as fire in a timely manner. Finally, when the duration of no alarm signal of the alarm is less than the preset value, the working mode of the NB smoke alarm will be kept in the normal working mode to ensure that the NB smoke alarm is on standby at any time and can respond to any possible fire risk in a timely manner. Such an intelligent working mode switching strategy effectively balances the relationship between energy consumption and response speed, improves the overall performance and reliability of the smoke alarm system, and enables the NB smoke alarm to minimize energy consumption without affecting the monitoring effect, so as to extend the battery life and the working time of the NB smoke alarm.

[0110] Preferably, step S3 comprises the following steps:

[0111] Step S31: when it is determined that the working mode of the NB smoke hardware optimized alarm is the NB smoke alarm low power sleep working mode, the NB smoke hardware optimized alarm is subjected to environmental monitoring processing through the NB smoke alarm sensor optimization array network to obtain the surrounding environment information data of the NB smoke alarm;

[0112] The embodiment of the present invention first judges and determines that the working mode of the NB smoke hardware optimized alarm is the NB smoke alarm low power sleep working mode. The NB smoke alarm low power sleep working mode is that when the NB smoke alarm does not detect smoke or has no alarm signal for a long time, it automatically enters the low power sleep state working mode. Then, by using the relevant sensors in the NB smoke alarm sensor optimization array network (such as temperature, humidity, air pressure, smoke and other sensors) to monitor the surrounding environment conditions of the NB smoke hardware optimized alarm in real time, so as to timely discover the information parameters in the surrounding environment of the NB smoke alarm, such as temperature, humidity, air pressure and other environmental parameters, and finally obtain the surrounding environment information data of the NB smoke alarm.

[0113] Step S32: performing environmental change recognition and analysis on the environmental information data of the NB smoke alarm to obtain environmental change data of the NB smoke alarm;

[0114] The embodiment of the present invention uses data processing and recognition technology to conduct in-depth analysis of the environmental information data of the NB smoke alarm surroundings collected by the sensor to identify and analyze environmental change trends, such as rapid temperature rise, abnormal increase in humidity, increase in smoke density, etc., and ultimately obtain the environmental change data of the NB smoke alarm surroundings.

[0115] Step S33: monitoring the energy consumption of the NB smoke hardware optimized alarm through the NB smoke alarm sensor optimization array network to obtain the NB smoke alarm hardware energy consumption data;

[0116] The embodiment of the present invention uses energy consumption monitoring sensors within the NB smoke alarm sensor optimization array network to monitor and process relevant hardware devices (including batteries, etc.) within the NB smoke hardware optimization alarm, so as to monitor the energy consumption of the hardware devices in the NB smoke alarm, including power consumption data under various working states, and understand the energy utilization of the hardware devices in different working modes, and finally obtain the NB smoke alarm hardware energy consumption data.

[0117] Step S34: performing timed wake-up control processing on the NB smoke hardware optimization alarm based on the NB smoke alarm surrounding environment change data and the NB smoke alarm hardware energy consumption data to generate the NB smoke alarm timed wake-up control condition;

[0118] The embodiment of the present invention first detects the environmental change data of the NB smoke alarm by using an abnormality detection algorithm to detect and compare the abnormal difference between the current environmental change and the preset normal environmental change, and promptly discovers and identifies the abnormal changes in the environment, such as sudden temperature rise, rapid increase in smoke density, etc., and analyzes the energy consumption data of the NB smoke alarm hardware under different working states obtained by monitoring by using an energy consumption control demand analysis method, so as to gain an in-depth understanding of the energy consumption of the NB smoke alarm under different working states and the demand target of energy consumption control, including how to reduce the energy consumption under different working states. Low or reduce the energy consumption of the NB smoke alarm battery. Secondly, by comprehensively considering the abnormal environmental changes and energy consumption control requirements obtained by analysis, the wake-up frequency and wake-up duration of the NB smoke hardware optimization alarm are dynamically controlled to adjust the wake-up frequency and wake-up duration of the NB smoke alarm according to the abnormal changes in the surrounding environment and the hardware energy consumption requirements, so that the NB smoke alarm can be woken up in time in the low-power sleep mode of the NB smoke alarm and ensure that the alarm requirements are met while minimizing the energy consumption of the NB smoke alarm, and reasonably control the wake-up frequency and duration of the NB smoke alarm and other control conditions, and finally generate the NB smoke alarm timed wake-up control conditions.

[0119] Step S35: according to the NB smoke alarm timed wake-up control condition, the NB smoke alarm low power sleep working mode is switched to the NB smoke alarm normal working mode by timed wake-up.

[0120] The embodiment of the present invention wakes up the working mode of the NB smoke alarm in the low-power sleep working mode of the NB smoke alarm at an appropriate time according to the previously determined NB smoke alarm timed wake-up control conditions (including the wake-up frequency and the wake-up timing length), and switches to the normal working mode of the NB smoke alarm, so as to ensure that the NB smoke alarm can respond quickly and sound an alarm when necessary, and at the same time ensure that energy consumption is minimized when it is not needed.

[0121] The present invention first determines that the working mode of the NB smoke hardware optimization alarm is the NB smoke alarm low-power sleep working mode, and then uses the NB smoke alarm sensor optimization array network to perform environmental monitoring processing on the NB smoke hardware optimization alarm, so as to obtain the surrounding environment information data in real time. These data include environmental parameters such as temperature, humidity, and air pressure. By monitoring the environmental data, abnormal conditions in the environment surrounding the NB smoke alarm can be discovered in time. For example, a sudden rise in temperature may indicate an increased risk of fire, thereby triggering the awakening of the NB smoke alarm. Secondly, by performing environmental change identification and analysis on the environmental information data surrounding the NB smoke alarm, it is helpful to identify and analyze environmental change trends, such as a rapid rise in temperature, an increase in smoke density, etc., which may be precursors to a fire. By accurately identifying environmental changes, the accuracy and timeliness of fire warnings can be improved, providing people with more effective safety protection. Then, by using the NB smoke alarm sensor optimization array network to monitor the energy consumption of the NB smoke hardware optimized alarm, the energy consumption data of the corresponding hardware in the NB smoke alarm can be obtained in real time. These data reflect the energy consumption of the NB smoke alarm in different working states. By monitoring the energy consumption, the working efficiency and battery life of the NB smoke alarm can be evaluated, providing data support for the subsequent wake-up control condition generation process. Next, by performing timed wake-up control processing on the NB smoke hardware optimized alarm based on the environmental change data around the NB smoke alarm and the NB smoke alarm hardware energy consumption data, a timed wake-up control condition is generated. This processing method can intelligently control the wake-up time of the NB smoke alarm according to environmental changes and energy consumption, ensuring timely wake-up when needed, while minimizing energy consumption and extending the battery life of the NB smoke alarm, so as to minimize energy consumption without affecting the monitoring effect, thereby extending the working time of the NB smoke alarm. Finally, by periodically waking up the NB smoke alarm low-power sleep mode and switching it to the normal working mode of the NB smoke alarm according to the generated NB smoke alarm periodic wake-up control conditions, this switching method can ensure that the alarm can respond quickly when necessary, while ensuring that energy consumption is reduced to the greatest extent when it is not needed, thereby realizing intelligent management and optimization of the NB smoke alarm working mode.

[0122] Preferably, step S4 comprises the following steps:

[0123] Step S341: performing environmental abnormal change detection on the environmental change data around the NB smoke alarm to obtain the environmental abnormal change data of the NB smoke alarm;

[0124] The embodiment of the present invention detects the environmental change data around the NB smoke alarm by using an anomaly detection algorithm to detect and compare the abnormal differences between the current environmental changes and the preset normal environmental changes, and promptly discovers and identifies abnormal changes in the environment. These abnormal changes include sudden temperature rise, rapid increase in smoke density, etc., and finally obtains the abnormal change data of the NB smoke alarm environment.

[0125] Step S342: performing energy consumption control demand analysis on the NB smoke alarm hardware energy consumption data to obtain the NB smoke alarm hardware energy consumption control demand data;

[0126] The embodiment of the present invention uses an energy consumption control demand analysis method to analyze the monitored NB smoke alarm hardware energy consumption data under different working conditions, so as to gain an in-depth understanding of the energy consumption of the NB smoke alarm under different working conditions and the energy consumption control demand targets, including how to reduce or reduce the energy consumption of the NB smoke alarm battery under different working conditions, and finally obtain the NB smoke alarm hardware energy consumption control demand data.

[0127] Step S343: Based on the abnormal change data of the NB smoke alarm environment and the energy consumption control demand data of the NB smoke alarm hardware, the wake-up frequency and wake-up duration of the NB smoke alarm hardware optimization alarm are dynamically controlled to obtain the wake-up frequency and wake-up duration of the NB smoke alarm;

[0128] The embodiment of the present invention dynamically controls the wake-up frequency and wake-up duration of the NB smoke hardware optimized alarm by comprehensively considering the abnormal change data of the NB smoke alarm environment and the energy consumption control demand data of the NB smoke alarm hardware, so as to adjust the wake-up frequency and wake-up duration of the NB smoke alarm according to the abnormal changes of the surrounding environment and the hardware energy consumption requirements, so that the NB smoke alarm can be woken up in time in the low-power sleep working mode of the NB smoke alarm and ensure that the energy consumption of the NB smoke alarm is reduced as much as possible while the alarm requirements are met, and finally the wake-up frequency of the NB smoke alarm and the wake-up duration of the NB smoke alarm are obtained.

[0129] Step S344: Perform timed wake-up control processing on the NB smoke hardware optimized alarm according to the NB smoke alarm wake-up frequency and the NB smoke alarm wake-up duration to generate the NB smoke alarm timed wake-up control condition.

[0130] The embodiment of the present invention combines the NB smoke alarm wake-up frequency and NB smoke alarm wake-up duration generated by dynamic control to perform timed wake-up processing on the NB smoke hardware optimization alarm at an appropriate time, so as to ensure a rapid response to emergency situations such as fire in the low-power sleep working mode of the NB smoke alarm, and reasonably control the control conditions such as the wake-up frequency and duration of the NB smoke alarm, so as to reduce the energy consumption of the NB smoke alarm during non-working hours, and finally generate the NB smoke alarm timed wake-up control conditions.

[0131] The present invention first detects abnormal changes in the environment by detecting the environmental changes around the NB smoke alarm, and can timely discover and identify abnormal conditions in the environment. These abnormal changes may include sudden temperature rise, rapid increase in smoke density, etc., which may be precursors to fire or other dangerous events. By accurately detecting abnormal changes in the environment, the accuracy and immediacy of the NB smoke alarm can be improved, thereby helping to better deal with potential dangerous situations. Secondly, by analyzing the energy consumption control demand of the NB smoke alarm hardware energy consumption data, the energy consumption of the NB smoke alarm in different working states and the demand for energy consumption control can be deeply understood. By analyzing the hardware energy consumption data, the energy consumption of the NB smoke alarm in different modes can be understood, thereby providing a basis for formulating effective energy consumption control strategies. Then, based on the abnormal change data of the NB smoke alarm environment and the energy consumption control demand data of the NB smoke alarm hardware, the NB smoke hardware optimization alarm is dynamically controlled to perform wake-up frequency and wake-up duration, which means that the wake-up frequency and wake-up duration of the NB smoke alarm can be flexibly controlled under the premise of ensuring timely response according to the abnormal changes in the actual environment of the NB smoke alarm and the energy consumption demand, thereby achieving a balance between energy consumption and response speed. Finally, by performing timed wake-up control processing on the NB smoke hardware optimized alarm at the appropriate time according to the determined wake-up frequency and wake-up duration, the timed wake-up control can ensure that the NB smoke alarm switches to the working mode in time so as to respond quickly in emergency situations such as fire. At the same time, by dynamically adjusting the wake-up time, energy consumption can be minimized, while minimizing energy consumption and extending the battery life of the NB smoke alarm, so as to minimize energy consumption without affecting the monitoring effect, thereby extending the working time of the NB smoke alarm.

[0132] Preferably, step S4 comprises the following steps:

[0133] Step S41: when it is determined that the working mode of the NB smoke hardware optimization alarm is the normal working mode of the NB smoke alarm, the alarm signal of the NB smoke hardware optimization alarm is monitored and processed to obtain an alarm signal of the NB smoke alarm;

[0134] The embodiment of the present invention first judges and determines that the working mode of the NB smoke hardware optimized alarm is the normal working mode of the NB smoke alarm. The normal working mode of the NB smoke alarm is also the working state mode of normally monitoring the fire signal information in the surrounding environment anytime and anywhere. Then, the optimized NB smoke hardware optimized alarm is monitored at any time by using an alarm signal monitoring device to monitor and obtain the alarm signal that may be generated by the NB smoke alarm in the current time period, and finally obtain the NB smoke alarm alarm signal.

[0135] Step S42: Performing a statistical analysis of the network signal strength of the NB smoke alarm alarm signal through the NB smoke alarm network communication optimization module to obtain the network strength data of the NB smoke alarm alarm signal;

[0136] The embodiment of the present invention uses the NB smoke alarm network communication optimization module to analyze the network signal strength of the generated NB smoke alarm alarm signal, so as to analyze and understand the signal strength of the generated NB smoke alarm alarm signal during the network transmission process, and evaluate and analyze the transmission quality of the NB smoke alarm alarm signal, and finally obtain the NB smoke alarm alarm signal network strength data.

[0137] Step S43: the NB smoke alarm network communication optimization module performs signal transmission distance monitoring processing on the NB smoke alarm alarm signal to obtain the NB smoke alarm alarm signal network transmission distance data;

[0138] The embodiment of the present invention uses the NB smoke alarm network communication optimization module to monitor the signal transmission distance of the NB smoke alarm alarm signal between the NB smoke alarm and the base station, so as to monitor the path and transmission distance of the NB smoke alarm alarm signal during the network transmission process, and understand the transmission range and distance limit of the NB smoke alarm alarm signal, and finally obtain the NB smoke alarm alarm signal network transmission distance data.

[0139] Step S44: analyzing the signal network transmission condition according to the NB smoke alarm signal network strength data and the NB smoke alarm signal network transmission distance data to obtain the NB smoke alarm signal network transmission environment condition;

[0140] The embodiment of the present invention analyzes the NB smoke alarm signal network strength data and the NB smoke alarm signal network transmission distance data obtained through monitoring, so as to determine the conditions of the NB smoke alarm signal in the network transmission environment based on a comprehensive evaluation of the network signal strength and the transmission distance, including the attenuation of the signal strength, the influence of the transmission distance, etc., and finally obtains the network transmission environment conditions of the NB smoke alarm signal.

[0141] Step S45: Based on the NB smoke alarm signal network transmission environment conditions, the NB smoke alarm signal is adjusted for sending power, and a dynamic adjustment strategy for sending power of the alarm signal is generated to execute the corresponding NB smoke alarm working time extension operation.

[0142] The embodiment of the present invention adjusts the network transmission power of the generated NB smoke alarm signal according to the network transmission environment conditions of the NB smoke alarm signal obtained by previous analysis, so as to dynamically adjust the transmission power of the NB smoke alarm signal, and adjusts it by using the relevant hardware of the NB smoke alarm (such as a battery), thereby generating a dynamic adjustment strategy for the alarm signal transmission power, and at the same time applies the generated dynamic adjustment strategy to the actual NB smoke alarm working time extension work of the NB smoke alarm, so as to ensure that the alarm signal can be effectively sent under different environmental conditions and extend the working life of its battery, thereby extending the working time of the NB smoke alarm.

[0143] The present invention first determines that the working mode of the NB smoke hardware optimization alarm is the normal working mode of the NB smoke alarm, and then monitors and processes the alarm signal of the NB smoke hardware optimization alarm to obtain the alarm signal of the NB smoke alarm. By monitoring the alarm signal, emergency situations such as smoke or fire can be discovered in time, thereby providing basic data guarantee for the subsequent processing process. Secondly, by using the NB smoke alarm network communication optimization module, the network signal strength statistical analysis of the NB smoke alarm alarm signal is performed to obtain the network strength data of the NB smoke alarm alarm signal. By analyzing the network signal strength, the transmission quality of the NB smoke alarm alarm signal can be evaluated, and corresponding optimization measures can be taken to ensure the stable transmission of the signal. Then, by using the NB smoke alarm network communication optimization module to monitor the signal transmission distance of the NB smoke alarm alarm signal, the transmission distance of the NB smoke alarm alarm signal can be monitored, so that the transmission range and distance limit of the NB smoke alarm alarm signal can be understood, thereby providing a basis for optimizing signal transmission. Next, by combining the NB smoke alarm alarm signal network strength data and the NB smoke alarm alarm signal network transmission distance data, the signal network transmission condition analysis is performed to obtain the network transmission environment conditions for obtaining the NB smoke alarm alarm signal. By analyzing the transmission conditions, we can understand the reliability and stability of the NB smoke alarm signal, and provide a basis for subsequent adjustment and optimization. Finally, the NB smoke alarm signal is dynamically adjusted based on the network transmission environment conditions of the NB smoke alarm signal, thereby generating a dynamic adjustment strategy for the alarm signal transmission power to extend the working time of the NB smoke alarm. By adjusting the transmission power, stable and reliable alarm signal transmission can be provided under different network environments, so as to dynamically adjust the transmission power of the NB smoke alarm according to factors such as network signal strength and transmission distance, so as to minimize power consumption while ensuring communication quality, and extend the service life of the NB smoke alarm, thereby extending the working time of the NB smoke alarm.

[0144] Therefore, the embodiments should be regarded as illustrative and non-restrictive from all points, and the scope of the present invention is limited by the appended claims rather than the above description, and it is therefore intended that all changes falling within the meaning and range of equivalent elements of the application documents are included in the present invention.

[0145] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. A method for extending the working time of a NB smoke alarm, characterized in that: The following steps are involved: Step S1: Performing network aperture array arrangement optimization processing on the sensors of the NB smoke alarm to obtain the NB smoke alarm sensor optimization array network; Based on the NB smoke alarm sensor optimization array network, the communication module of the NB smoke alarm is subjected to network communication optimization processing to obtain the NB smoke alarm network communication optimization module; wherein step S1 includes the following steps: Step S11: Performing network coverage layout optimization simulation processing on the sensors of the NB smoke alarm to obtain an alarm sensor network coverage layout optimization simulation space; wherein step S11 includes the following steps: Step S111: performing network coverage monitoring processing on the sensors of the NB smoke alarm to obtain network coverage distribution information data of each sensor; Step S112: performing range distribution topology analysis on the network coverage distribution information data of each sensor to obtain network coverage distribution topology data of each sensor; performing spatial distribution feature analysis on the network coverage distribution topology data of each sensor to obtain network coverage distribution feature data of each sensor; Step S113: performing feature point set sampling processing on the network coverage distribution feature data of each sensor to obtain a network coverage distribution feature point set of each sensor; Step S114: performing network coverage space simulation analysis on the network coverage distribution topology data of each sensor based on the network coverage distribution feature point set of each sensor to obtain the alarm sensor network coverage simulation space; Step S115: performing sensor space layout optimization processing on the alarm sensor network coverage simulation space to obtain the alarm sensor network coverage layout optimization simulation space; wherein step S115 includes the following steps: Perform sensor node labeling processing on the alarm sensor network coverage simulation space to obtain the sensor nodes of the network coverage simulation space; Conduct network coverage evaluation and analysis on each network coverage simulation space sensor node to obtain the network coverage of each network coverage simulation space sensor node; Based on the network coverage rate of each network coverage simulation space sensor node, each network coverage simulation space sensor node is monitored and processed for network coverage interference area to obtain the alarm sensor network coverage interference area; According to the interference area of ​​the alarm sensor network coverage, the network coverage blind area identification and analysis is performed on the alarm sensor network coverage simulation space to obtain the distribution area of ​​the alarm sensor network coverage blind area; Based on the blind area distribution area of ​​the alarm sensor network coverage, the sensor space layout optimization processing is performed on the position and direction of the sensor in the alarm sensor network coverage simulation space to obtain the alarm sensor network coverage layout optimization simulation space; Step S12: performing sensor array response layout processing on the sensors of the NB smoke alarm based on the alarm sensor network coverage layout optimization simulation space to obtain the NB smoke alarm sensor initial array network; Step S13: performing network aperture array arrangement optimization processing on the NB smoke alarm sensor initial array network to obtain the NB smoke alarm sensor optimized array network; wherein step S13 includes the following steps: Step S131: performing network response evaluation and analysis on the NB smoke alarm sensor initial array network to obtain an alarm sensor array network response evaluation index; Step S132: performing energy consumption balance evaluation and analysis on the NB smoke alarm sensor initial array network to obtain an alarm sensor array network energy consumption balance evaluation index; Step S133: performing a network porosity statistical analysis on the NB smoke alarm sensor initial array network based on the alarm sensor array network response evaluation index and the alarm sensor array network energy consumption balance evaluation index to obtain the alarm sensor array network porosity; Step S134: performing an array arrangement optimization target analysis on the NB smoke alarm sensor initial array network according to the alarm sensor array network porosity to obtain the alarm sensor array network arrangement optimization target; Step S135: performing network aperture array arrangement optimization processing on the NB smoke alarm sensor initial array network based on the alarm sensor array network arrangement optimization target to obtain the NB smoke alarm sensor optimized array network; Step S14: performing network communication environment monitoring processing on the communication module of the NB smoke alarm through the NB smoke alarm sensor optimization array network to obtain network communication environment status data of the NB smoke alarm; Step S15: performing network communication optimization processing on the communication module of the NB smoke alarm based on the network communication environment status data of the NB smoke alarm to obtain a network communication optimization module of the NB smoke alarm; Step S2: Perform hardware optimization design processing on the NB smoke alarm according to the NB smoke alarm sensor optimization array network and the NB smoke alarm network communication optimization module to obtain the NB smoke hardware optimized alarm; perform working mode switching processing on the NB smoke hardware optimized alarm based on the NB smoke alarm network communication optimization module to obtain the NB smoke alarm low power sleep working mode or the NB smoke alarm normal working mode; wherein, step S2 includes the following steps: Step S21: performing hardware optimization design processing on the NB smoke alarm according to the NB smoke alarm sensor optimization array network and the NB smoke alarm network communication optimization module to obtain a NB smoke hardware optimized alarm; Step S22: monitoring and processing the no-signal duration of the NB smoke hardware optimized alarm through the NB smoke alarm network communication optimization module to obtain the no-alarm signal duration of the alarm; Step S23: judging and analyzing the duration of no alarm signal of the alarm according to the preset working mode switching judgment duration, if the duration of no alarm signal of the alarm is greater than or equal to the preset working mode switching judgment duration, the working mode of the NB smoke hardware optimization alarm is switched from the NB smoke alarm normal working mode to the NB smoke alarm low power sleep working mode; Step S24: If the duration of no alarm signal from the alarm is less than the preset working mode switching judgment duration, the working mode of the NB smoke hardware optimized alarm is maintained as the normal working mode of the NB smoke alarm; Step S3: when it is determined that the working mode of the NB smoke hardware optimized alarm is the NB smoke alarm low power sleep working mode, a timed wake-up control process is performed on the NB smoke hardware optimized alarm based on the NB smoke alarm sensor optimization array network to generate a NB smoke alarm timed wake-up control condition; according to the NB smoke alarm timed wake-up control condition, the NB smoke alarm low power sleep working mode is switched to the NB smoke alarm normal working mode by timed wake-up; Step S4: When it is determined that the working mode of the NB smoke hardware optimization alarm is the normal working mode of the NB smoke alarm, the alarm signal of the NB smoke hardware optimization alarm is monitored and processed to obtain the NB smoke alarm alarm signal; based on the NB smoke alarm network communication optimization module, the alarm signal sending power of the NB smoke alarm alarm signal is adjusted, and an alarm signal sending power dynamic adjustment strategy is generated to execute the corresponding NB smoke alarm working time extension operation.

2. The method for extending the working time of a NB smoke alarm according to claim 1, characterized in that: Step S15 includes the following steps: Step S151: extracting communication frequency data and network congestion data from the NB smoke alarm network communication environment status data to obtain NB smoke alarm network communication frequency data and NB smoke alarm network congestion data; Step S152: performing a network communication environment requirement analysis on the communication module of the NB smoke alarm according to the network communication frequency data of the NB smoke alarm and the network congestion data of the NB smoke alarm, and obtaining the network communication environment requirement data of the NB smoke alarm; Step S153: Based on the network communication environment requirement data of the NB smoke alarm, the communication module of the NB smoke alarm is optimized through the low-power wireless communication protocol to obtain a NB smoke alarm network communication optimization module.

3. The method for extending the working time of a NB smoke alarm according to claim 1, characterized in that: Step S3 includes the following steps: Step S31: when it is determined that the working mode of the NB smoke hardware optimized alarm is the NB smoke alarm low power sleep working mode, the NB smoke hardware optimized alarm is subjected to environmental monitoring processing through the NB smoke alarm sensor optimization array network to obtain the surrounding environment information data of the NB smoke alarm; Step S32: performing environmental change recognition and analysis on the environmental information data of the surroundings of the NB smoke alarm to obtain environmental change data of the surroundings of the NB smoke alarm; Step S33: monitoring the energy consumption of the NB smoke hardware optimized alarm through the NB smoke alarm sensor optimization array network to obtain the NB smoke alarm hardware energy consumption data; Step S34: performing timed wake-up control processing on the NB smoke hardware optimization alarm based on the NB smoke alarm surrounding environment change data and the NB smoke alarm hardware energy consumption data to generate the NB smoke alarm timed wake-up control condition; Step S35: according to the NB smoke alarm timed wake-up control condition, the NB smoke alarm low power sleep working mode is switched to the NB smoke alarm normal working mode by timed wake-up.

4. The method for extending the working time of a NB smoke alarm according to claim 3, characterized in that: Step S34 includes the following steps: Step S341: performing environmental abnormal change detection on the environmental change data around the NB smoke alarm to obtain the environmental abnormal change data of the NB smoke alarm; Step S342: performing energy consumption control demand analysis on the NB smoke alarm hardware energy consumption data to obtain the NB smoke alarm hardware energy consumption control demand data; Step S343: Based on the abnormal change data of the NB smoke alarm environment and the energy consumption control demand data of the NB smoke alarm hardware, the wake-up frequency and wake-up duration of the NB smoke alarm hardware optimization alarm are dynamically controlled to obtain the wake-up frequency and wake-up duration of the NB smoke alarm; Step S344: Perform timed wake-up control processing on the NB smoke hardware optimized alarm according to the NB smoke alarm wake-up frequency and the NB smoke alarm wake-up duration to generate the NB smoke alarm timed wake-up control condition.

5. The method for extending the working time of a NB smoke alarm according to claim 1, characterized in that: Step S4 includes the following steps: Step S41: when it is determined that the working mode of the NB smoke hardware optimization alarm is the normal working mode of the NB smoke alarm, the alarm signal of the NB smoke hardware optimization alarm is monitored and processed to obtain an alarm signal of the NB smoke alarm; Step S42: Performing a statistical analysis of the network signal strength of the NB smoke alarm alarm signal through the NB smoke alarm network communication optimization module to obtain the network strength data of the NB smoke alarm alarm signal; Step S43: the NB smoke alarm network communication optimization module performs signal transmission distance monitoring processing on the NB smoke alarm alarm signal to obtain the NB smoke alarm alarm signal network transmission distance data; Step S44: analyzing the signal network transmission condition according to the NB smoke alarm signal network strength data and the NB smoke alarm signal network transmission distance data to obtain the NB smoke alarm signal network transmission environment condition; Step S45: Based on the NB smoke alarm signal network transmission environment conditions, the NB smoke alarm signal is adjusted for sending power, and a dynamic adjustment strategy for sending power of the alarm signal is generated to execute the corresponding NB smoke alarm working time extension operation.

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