A smoke control alarm method and system based on smart lock

Abstract

The present invention discloses a smoke control alarm method and system based on a smart lock, the method comprising: collecting environmental data of the current environment through multiple sensors configured inside the smart lock; judging whether to start a local warning based on the environmental data; if the local warning is started, calculating a comprehensive alarm evaluation index to determine the warning level corresponding to the local warning based on the comprehensive alarm evaluation index; sending a local warning corresponding to the warning level, and reporting the warning information and the warning level. By using the embodiments of the present invention, it is possible to accurately judge environmental changes, calculate comprehensive alarm evaluation indicators, and realize intelligent local warnings by integrating multiple sensors, so as to improve the intelligence level and response speed of fire safety management, thereby better protecting the safety of homes and public places.

Description

Technical Field

[0001] The present invention belongs to the technical field of fire monitoring, and in particular to a smoke control alarm method and system based on an intelligent lock. Background Art

[0002] Traditional fire alarm systems usually rely on independent fire detectors and alarm devices, which can sound the alarm when a fire occurs, but often have problems such as insufficient sensitivity, high false alarm rate, and delayed response, which makes them unable to meet modern safety needs.

[0003] With the development of smart home technology, smart locks, as an important part of home security management, have gradually integrated a variety of sensors to enhance the safety of the living environment. These sensors can monitor environmental changes in real time, thereby providing more comprehensive security protection for family members. However, the smart locks currently on the market often only have basic door opening and closing control functions, lack effective fire warning mechanisms, and fail to give full play to their potential safety performance. Summary of the invention

[0004] The purpose of the present invention is to provide a smoke control alarm method and system based on smart locks to address the deficiencies in the prior art. By integrating multiple sensors, the method and system can accurately judge environmental changes, calculate comprehensive alarm evaluation indicators, and realize intelligent local early warning, so as to improve the intelligence level and response speed of fire safety management, thereby better protecting the safety of homes and public places.

[0005] An embodiment of the present application provides a smoke control alarm method based on a smart lock, the method comprising:

[0006] Collect environmental data of the current environment through multiple sensors configured inside the smart lock;

[0007] Determining whether to initiate a local early warning based on the environmental data;

[0008] If the local warning is activated, calculating the comprehensive alarm evaluation index to determine the warning level corresponding to the local warning based on the comprehensive alarm evaluation index;

[0009] Send a local warning corresponding to the warning level, and report the warning information and the warning level.

[0010] Optionally, judging whether to initiate a local warning according to the environmental data includes:

[0011] Determine whether the smoke concentration data in the environmental data is greater than a preset smoke concentration threshold;

[0012] If the smoke concentration data is greater than a preset smoke concentration threshold, determining whether the temperature data in the environmental data is greater than a preset temperature threshold;

[0013] If the temperature data is greater than a preset temperature threshold, a local warning is initiated.

[0014] Optionally, the calculation formula of the comprehensive alarm evaluation index is:

[0015]

[0016] Among them, I is a comprehensive alarm evaluation index, S is the smoke concentration data in the environmental data, S_{threshold} is a preset smoke concentration threshold, T is the temperature data in the environmental data, T_{threshold} is a preset temperature threshold, H is the humidity data in the environmental data, H_{threshold} is a preset humidity threshold, C is the CO concentration data in the environmental data, C_{threshold} is a preset CO concentration threshold, A is the air quality index in the environmental data, w_1, w_2, w_3, w_4, w_5 are weight coefficients corresponding to the parameters S, T, H, C, and A.

[0017] Optionally, the calculation formula of the weight coefficient is:

[0018]

[0019] Among them, w_i is the weight coefficient of the i-th parameter, and i=1, 2, 3, 4, 5, R_i is the historical risk assessment value of the i-th parameter, R_j is the historical risk assessment value of the j-th parameter, alpha is the adjustment coefficient used to control the sensitivity of the weight, and N is the number of parameters, and N=5.

[0020] Optionally, the R_i is:

[0021]

[0022] Optionally, the sending of a local warning corresponding to the warning level, and reporting of warning information and the warning level, includes:

[0023] A local sound and light alarm corresponding to the warning level is issued, and warning information is sent to the emergency management platform and user mobile terminals through various communication networks.

[0024] Optionally, the method further includes:

[0025] After sending a local warning corresponding to the warning level and reporting the warning information and the warning level, the smart lock is controlled to enable the escape unlocking function.

[0026] Another embodiment of the present application provides a smoke control alarm system based on a smart lock, the system comprising:

[0027] The acquisition module is used to collect environmental data of the current environment through multiple sensors configured inside the smart lock;

[0028] A judgment module, used to judge whether to start a local warning according to the environmental data;

[0029] A calculation module, for calculating a comprehensive alarm evaluation index if a local alarm is activated, so as to determine an alarm level corresponding to the local alarm based on the comprehensive alarm evaluation index;

[0030] The warning module is used to send a local warning corresponding to the warning level and report the warning information and the warning level.

[0031] Yet another embodiment of the present application provides a storage medium, wherein the storage medium stores a computer program, wherein the computer program is configured to execute any of the above methods when running.

[0032] Yet another embodiment of the present application provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute any of the methods described above.

[0033] Compared with the prior art, the present invention provides a smoke control alarm method based on a smart lock, which collects environmental data of the current environment through multiple sensors configured inside the smart lock; determines whether to start a local early warning based on the environmental data; if the local early warning is started, calculates a comprehensive alarm evaluation index to determine the early warning level corresponding to the local early warning based on the comprehensive alarm evaluation index; sends a local early warning corresponding to the early warning level, and reports the early warning information and the early warning level, so that by integrating multiple sensors, it can accurately judge environmental changes, calculate comprehensive alarm evaluation indicators, and realize intelligent local early warning, so as to improve the intelligence level and response speed of fire safety management, thereby better protecting the safety of homes and public places. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 A hardware structure block diagram of a computer terminal of a smoke control alarm method based on a smart lock provided by an embodiment of the present invention;

[0035] Figure 2 A flow chart of a smoke control alarm method based on a smart lock provided by an embodiment of the present invention;

[0036] Figure 3 A schematic structural diagram of a smoke control alarm system based on a smart lock provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0037] The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, but should not be construed as limiting the present invention.

[0038] The embodiment of the present invention first provides a smoke control alarm method based on a smart lock, which can be applied to electronic devices such as computer terminals, specifically ordinary computers, etc.

[0039] The following describes it in detail by taking running on a computer terminal as an example. Figure 1 The hardware structure block diagram of a computer terminal of a smoke control alarm method based on a smart lock provided by an embodiment of the present invention. Figure 1 As shown, the computer device includes a processor, a memory, and a network interface connected via a system bus, wherein the memory may include a non-volatile storage medium and an internal memory.

[0040] The non-volatile storage medium can store an operating system and a computer program. The computer program includes program instructions, and when the program instructions are executed, the processor can execute any smoke control alarm method based on the smart lock.

[0041] The processor is used to provide computing and control capabilities and support the operation of the entire computer equipment.

[0042] The internal memory provides an environment for the operation of the computer program in the non-volatile storage medium. When the computer program is executed by the processor, the processor can execute any smoke control alarm method based on the smart lock.

[0043] The network interface is used for network communication, such as sending assigned tasks, etc. Those skilled in the art will understand that Figure 1 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0044] It should be understood that the processor may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0045] See also Figure 2 The embodiment of the present invention provides a smoke control alarm method based on a smart lock, which may include the following steps:

[0046] S201, collecting environmental data of the current environment through multiple sensors configured inside the smart lock;

[0047] The surrounding environment is monitored and data is collected in real time using a variety of sensor devices installed inside the smart lock. These sensors can include smoke sensors, temperature sensors, humidity sensors, carbon monoxide sensors, and air quality sensors. Through this process, the smart lock can obtain key data related to environmental safety, thereby providing the necessary basis for subsequent early warning decisions. These sensors convert changes in the physical environment into electrical signals and transmit them to the control unit of the smart lock to ensure that the state of the environment can be continuously monitored in real time. For example, when phenomena such as increased smoke concentration, temperature rise, or humidity drop suddenly occur, the smart lock can capture these changes in time for further judgment and early warning.

[0048] Specifically, the design of smart locks will support multiple types of sensors. For example, smoke sensors can monitor smoke particles in the air, temperature sensors are used to measure instantaneous temperature changes in the environment, humidity sensors monitor fluctuations in air humidity, and carbon monoxide sensors monitor harmful gas concentrations. These sensors will be arranged around smart locks to ensure that they can cover a variety of environmental changes, especially those close to doors or windows, which are often areas where fire accidents are prone to occur.

[0049] The sensor will collect environmental data periodically or in real time, and the collected data will be transmitted to the cloud or local server through the wireless communication module (such as Wi-Fi or IoT) for more in-depth analysis and recording. This transmission process ensures the real-time and accuracy of the data, allowing the smart lock to respond to changes in the shortest time.

[0050] Through the above methods, smart locks can achieve comprehensive monitoring of the surrounding environment, providing a solid data basis for subsequent risk judgment and early warning. At the same time, smart locks also provide users with a safer and smarter living environment in daily life, ensuring the safety of their families and property.

[0051] S202, judging whether to start a local warning according to the environmental data;

[0052] This step aims to evaluate whether there is a fire risk in the current environment by analyzing the collected environmental data, and decide whether to activate the corresponding local early warning mechanism accordingly. The evaluation process will comprehensively consider multiple environmental indicators, such as smoke concentration, temperature, etc., and compare them through set thresholds to determine whether the environmental status exceeds the safety range, thereby effectively identifying potential fire risks.

[0053] Specifically, it can be determined whether the smoke concentration data in the environmental data is greater than a preset smoke concentration threshold;

[0054] In this step, the smart lock will first check the collected environmental data, specifically analyzing whether the data obtained by the smoke density sensor exceeds the pre-set smoke density threshold. This threshold is determined based on an assessment of fire risk, usually after scientific research and historical data analysis to minimize the risk of false alarms and missed alarms.

[0055] This judgment step is crucial because smoke concentration is one of the typical indicators of early fire. Timely detection of rising smoke concentration can buy valuable time for subsequent fire warning and emergency response. Therefore, accurately judging whether the smoke concentration exceeds the threshold can significantly improve the safety and reliability of smart locks, ensuring that once a fire occurs, the system can respond quickly to protect the lives and property of users.

[0056] In the specific implementation process, the smart lock first receives the real-time measured smoke concentration data from the smoke sensor. These data will be converted into digital signals and transmitted to the internal control unit. The control unit will set a reasonable smoke concentration threshold, such as 200ppm. The system will compare the real-time monitored data with the preset value. If the smoke concentration data is greater than 200ppm, the control unit will record the status and prepare for subsequent judgments. If it does not exceed, the system will continue to monitor the environment and remain in the "standby" state to ensure that changes are captured in time.

[0057] If the smoke concentration data is greater than a preset smoke concentration threshold, determining whether the temperature data in the environmental data is greater than a preset temperature threshold;

[0058] After confirming that the smoke concentration exceeds the preset threshold, the smart lock will continue to evaluate the environmental data, specifically to determine whether the temperature data collected by the temperature sensor exceeds the set temperature threshold. This temperature threshold has also been rigorously studied and verified in practice to provide a more reliable basis for judgment when a fire occurs.

[0059] The significance of this step is to improve the accuracy of fire warning by detecting dual indicators. In the early stage of a fire, smoke and high temperature often coexist, so monitoring these two indicators at the same time can help reduce false positives and ensure the reliability and effectiveness of the alarm system. This can enhance user trust and ensure a quick response in real dangerous situations, reducing possible damage and losses.

[0060] When executing this judgment, the smart lock will first receive the temperature data from the temperature sensor through the control unit and convert it into a processable format. The set temperature threshold is, for example, 70°C, and then the system will perform a comparison operation. If the ambient temperature exceeds 70°C, the smart lock will decide to start the local early warning mechanism. If the temperature does not exceed the threshold, the control unit continues to monitor the environmental status to avoid false alarms. Once the temperature data exceeds the set threshold, the smart lock can start the early warning program and then generate the corresponding alarm information to provide users with timely danger warnings.

[0061] If the temperature data is greater than a preset temperature threshold, a local warning is initiated.

[0062] In this step, once the temperature data is confirmed to exceed the preset temperature threshold, the smart lock will immediately activate the local early warning mechanism. This early warning mechanism not only involves sound and light alarms, but can also include sending real-time alarm information to the user's mobile terminal or emergency management platform. The purpose of this process is to ensure that users can be aware of potential fire risks in the shortest possible time so that they can take necessary emergency measures.

[0063] The significance of activating local early warning is to provide users with fast and effective warnings, helping them to understand the safety status of the surrounding environment in a timely manner. When the temperature exceeds the preset threshold, it usually means that the risk of fire is increasing. By issuing sound and light alarms and other forms of notification, smart locks can promote users' rapid response, reduce losses caused by fire, and improve people's life safety. In homes and public places, timely early warnings can enhance the sense of security and maintain the stability of the ecological environment and society.

[0064] In the specific implementation process, after the control unit of the smart lock confirms that the temperature data exceeds the set threshold (for example, 70°C), it will first trigger the built-in sound and light alarm device. This device usually emits a high-decibel alarm and flashes a bright indicator light to attract the attention of people around. Through this early warning startup step, the smart lock realizes the full chain management from environmental monitoring to emergency response, plays an extremely important role in fire risk detection, and significantly improves the efficiency and reliability of security prevention.

[0065] S203, if the local warning is started, calculating the comprehensive alarm evaluation index to determine the warning level corresponding to the local warning based on the comprehensive alarm evaluation index;

[0066] In this step, once the local warning is judged to be activated, the system will start to calculate the comprehensive alarm evaluation index. This process generates a comprehensive evaluation index (I) through a comprehensive analysis of environmental data (such as smoke concentration, temperature, humidity, CO concentration and air quality index, etc.). The calculation process of this index combines the impact of various environmental factors on fire risk, and quantifies each environmental parameter by assigning different weights to more accurately reflect the degree of danger of the current environment. Finally, based on this evaluation index, the smart lock will determine the corresponding warning level, thereby guiding subsequent warning responses and emergency treatment measures.

[0067] The significance of implementing this step is to evaluate the fire risk in a scientific and quantitative way, so as to provide a more accurate warning level. The calculation of the comprehensive alarm evaluation index integrates different environmental parameters, optimizes the smart lock's ability to perceive fire risks, and avoids the misjudgment that may be caused by relying solely on a certain indicator. In addition, the dynamic adjustment and adaptive evaluation mechanism enables the smart lock to maintain efficient early warning capabilities under different environmental conditions, protect the user's life and property safety, and improve the overall fire prevention level.

[0068] Specifically, a calculation formula for a comprehensive alarm evaluation index can be:

[0069]

[0070] The formula aims to measure the fire risk level of the current environment through a comprehensive evaluation index (I). The formula weights and summarizes multiple environmental parameters (smoke concentration, temperature, humidity, CO concentration and air quality index) so that the evaluation results can better reflect the overall environmental conditions. This multi-parameter structural design can consider the impact of different environmental factors on fire risk, thereby achieving a more comprehensive and accurate risk assessment.

[0071] Among them, I is a comprehensive alarm evaluation index, S is the smoke concentration data in the environmental data, S_{threshold} is a preset smoke concentration threshold, T is the temperature data in the environmental data, T_{threshold} is a preset temperature threshold, H is the humidity data in the environmental data, H_{threshold} is a preset humidity threshold, C is the CO concentration data in the environmental data, C_{threshold} is a preset CO concentration threshold, A is the air quality index in the environmental data, w_1, w_2, w_3, w_4, w_5 are weight coefficients corresponding to the parameters S, T, H, C, and A.

[0072] Specifically, a calculation formula for the weight coefficient may be:

[0073]

[0074] This formula is used to calculate the weight coefficient (w_i), and its purpose is to dynamically adjust the influence weight of each parameter in the comprehensive alarm evaluation index according to the historical risk assessment value. Through this formula, historical data can be combined with the current monitoring situation to ensure that the role of important environmental parameters can be reasonably reflected in different time periods. Such a design enables the smart lock to continuously optimize its response sensitivity during long-term operation and improve the accuracy of fire risk assessment.

[0075] Among them, W_i is the weight coefficient of the i-th parameter, and i=1, 2, 3, 4, 5, R_i is the historical risk assessment value of the i-th parameter, R_j is the historical risk assessment value of the j-th parameter, alpha is the adjustment coefficient used to control the sensitivity of the weight, and N is the number of parameters, and N=5.

[0076] Specifically, a type of R_i may be:

[0077]

[0078] This formula is used to calculate the historical risk assessment value (R_i) of each parameter, and the relative risk level of each parameter is obtained by comparing the number of fire events in a specific time period with the number of events in which the parameter exceeds the threshold in the same time period. This design logic can help smart locks focus on environmental factors that have a high degree of correlation with fire events in history when analyzing environmental risks, and achieve intelligent decision-making based on historical data.

[0079] Through the combination of these parameters, the formula can quantify the importance of parameters in fire risk assessment, thereby affecting the calculation of comprehensive alarm evaluation indicators, making smart locks more intelligent and data-driven.

[0080] S204: Send a local warning corresponding to the warning level, and report warning information and the warning level.

[0081] In this step, the smart lock sends out corresponding local warning signals to convey the fire warning information to the user and the surrounding environment. Specifically, once the comprehensive alarm evaluation index is calculated and the warning level is determined, the smart lock will activate the sound and light alarm device, and will also report the warning information and its corresponding level to the relevant monitoring system or emergency management platform. This process is designed to ensure that users can receive fire warnings in a timely manner so that they can take necessary countermeasures.

[0082] The significance of implementing this step is to protect the lives and property of users through immediate local early warning. By directly attracting the attention of users through means such as sound and light alarms, they can react quickly and take necessary actions such as escape or fire extinguishing. At the same time, the establishment of a reporting mechanism can timely transmit fire risk information to emergency management units, providing necessary data support for the dispatch and response of professional rescue forces. This not only improves the effectiveness of fire prevention, but also enhances the overall safety protection capabilities of society.

[0083] Specifically, a local sound and light alarm corresponding to the warning level may be issued, and warning information may be sent to an emergency management platform and user mobile terminals via a variety of communication networks.

[0084] In this step, the smart lock will send out sound and flash signals through the sound and light alarm device according to the warning level to inform the user of the potential fire risk. At the same time, the smart lock will use a variety of communication networks such as Wi-Fi and the Internet of Things to send warning information and current environmental data to the user's mobile terminal and related emergency management platforms in real time. This operation ensures the rapid transmission of information, allowing users and social emergency resources to be informed of the severity of the fire risk in a timely manner.

[0085] By activating the local sound and light alarm, users can perceive the crisis in the shortest possible time and form a direct behavioral response. At the same time, real-time reporting of early warning information through the communication network not only provides users with a sense of security, but also helps emergency management departments quickly grasp the fire situation, reasonably allocate resources, and improve on-site response efficiency. This effectively reduces losses in fire incidents and ensures social public safety.

[0086] Specifically, the multiple communication networks may include at least: WIFI and Internet of Things.

[0087] In the specific implementation process, the built-in sound and light alarm device of the smart lock will work immediately when the warning signal is issued, emitting a high-decibel alarm and flashing indicator light to attract the user's attention. At the same time, the smart lock collects current environmental data (such as smoke concentration, temperature, etc.) through the preset WiFi and Internet of Things (such as CAT1) modules, and sends the warning information to the user's smartphone App and emergency management platform through these communication networks. The information will include the current environmental detection data, warning level and location information of the smart lock, thereby realizing a full range of fire risk transmission.

[0088] Smart locks use a variety of communication networks (such as WiFi and the Internet of Things) to transmit information to ensure the reliability and timeliness of early warning information. WiFi networks can provide high-speed data transmission, while the Internet of Things technology enables the interconnection of multiple devices, allowing smart locks to seamlessly connect with users' mobile phones, home networks, and emergency management platforms to form an efficient information dissemination system.

[0089] The design of using multiple communication networks greatly increases the flexibility and availability of information transmission of smart locks in different environments and conditions. When a fire occurs, early warning information can be sent to users and relevant emergency agencies quickly and accurately, which helps to improve the speed of emergency response and reduce potential losses caused by fire. This diversified communication strategy enables smart locks to not only have real-time monitoring capabilities, but also intelligent decision-making support capabilities.

[0090] In terms of specific implementation, the smart lock system will have built-in WiFi modules and IoT communication modules. After starting the local warning, the smart lock will automatically select the best transmission method based on the connected network, send data to the user's mobile device via Wi-Fi, and use the remote communication capabilities of the IoT to transmit warning information to the emergency management platform. During this process, the system will ensure data security and transmission efficiency to ensure that the information can reach the target device smoothly. Once the connection is unstable, the system will automatically switch to the backup network to ensure that the warning information is not delayed.

[0091] Furthermore, after sending a local warning corresponding to the warning level and reporting the warning information and the warning level, the smart lock can also be controlled to enable an escape unlocking function.

[0092] After sending the local warning corresponding to the warning level and reporting the warning information and the warning level, the smart lock system will automatically control the escape unlocking function. The realization of this function is based on the real-time monitoring and analysis of environmental data by the early warning system. When it is recognized that the smoke concentration, temperature and other indicators in the environment exceed the safe range, the system will quickly judge the fire risk and issue a warning. At this time, the escape unlocking function of the smart lock is activated, allowing the user to quickly open the door lock and escape smoothly in the event of a crisis. The design of this function not only guarantees the user's escape needs in an emergency, but also takes into account safety to prevent false triggering. Through this mechanism, smart locks play a more active role in crisis management and provide users with immediate and effective means of survival.

[0093] In the specific implementation process, the built-in sensors of the smart lock continuously monitor environmental data. Once the smoke concentration and temperature are detected to exceed the corresponding preset thresholds, the system will immediately activate the early warning mechanism. At this time, the control module of the smart lock will be activated, and the system will first send an audible and visual alarm to alert the user. After completing the local early warning, the smart lock will report the early warning information to the emergency management platform and the user's mobile terminal in real time through communication networks such as WiFi or the Internet of Things. At the same time, the escape unlocking function of the smart lock will be unlocked, and the user only needs to touch the lock body or confirm on the mobile terminal to quickly open the door lock. The whole process is seamlessly connected, ensuring that users can escape efficiently and calmly in emergencies such as fire.

[0094] The significance of activating the escape unlocking function is that it can provide users with safety protection in emergency situations. In emergencies such as fires, time is the key to rescue and escape. By automatically activating the escape unlocking function through the smart lock, users can quickly open the door lock without complicated operations, thereby obtaining a timely safe exit. This design not only improves the practicality of the smart lock, but also enhances the user's sense of security in emergency situations and reduces the risk of injury caused by the blockage of the escape route. In addition, this function also reflects the importance of smart security equipment in crisis management, and provides an effective solution for security management in public places such as hospitals, schools, and shopping malls.

[0095] It can be seen that through the multiple sensors configured inside the smart lock, the environmental data of the current environment is collected; based on the environmental data, it is determined whether to start the local warning; if the local warning is started, the comprehensive alarm evaluation index is calculated to determine the warning level corresponding to the local warning based on the comprehensive alarm evaluation index; the local warning corresponding to the warning level is sent, and the warning information and the warning level are reported, so that by integrating multiple sensors, environmental changes can be accurately judged, comprehensive alarm evaluation indicators can be calculated, and intelligent local warnings can be realized, so as to improve the intelligence level and response speed of fire safety management, thereby better protecting the safety of homes and public places.

[0096] Another embodiment of the present invention provides a smoke control alarm system based on a smart lock, see Figure 3 , the system may include:

[0097] The acquisition module 301 is used to collect environmental data of the current environment through multiple sensors configured inside the smart lock;

[0098] A judgment module 302 is used to judge whether to start a local warning according to the environmental data;

[0099] A calculation module 303 is used to calculate a comprehensive alarm evaluation index if a local alarm is activated, so as to determine an alarm level corresponding to the local alarm based on the comprehensive alarm evaluation index;

[0100] The warning module 304 is used to send a local warning corresponding to the warning level, and report the warning information and the warning level.

[0101] It can be seen that through the multiple sensors configured inside the smart lock, the environmental data of the current environment is collected; based on the environmental data, it is determined whether to start the local warning; if the local warning is started, the comprehensive alarm evaluation index is calculated to determine the warning level corresponding to the local warning based on the comprehensive alarm evaluation index; the local warning corresponding to the warning level is sent, and the warning information and the warning level are reported, so that by integrating multiple sensors, environmental changes can be accurately judged, comprehensive alarm evaluation indicators can be calculated, and intelligent local warnings can be realized, so as to improve the intelligence level and response speed of fire safety management, thereby better protecting the safety of homes and public places.

[0102] An embodiment of the present invention further provides a storage medium, in which a computer program is stored, wherein the computer program is configured to execute the steps of any of the above method embodiments when running.

[0103] Specifically, in this embodiment, the above storage medium may be configured to store a computer program for performing the following steps:

[0104] S201, collecting environmental data of the current environment through multiple sensors configured inside the smart lock;

[0105] S202, judging whether to start a local warning according to the environmental data;

[0106] S203, if the local warning is started, calculating the comprehensive alarm evaluation index to determine the warning level corresponding to the local warning based on the comprehensive alarm evaluation index;

[0107] S204: Send a local warning corresponding to the warning level, and report warning information and the warning level.

[0108] It can be seen that through the multiple sensors configured inside the smart lock, the environmental data of the current environment is collected; based on the environmental data, it is determined whether to start the local warning; if the local warning is started, the comprehensive alarm evaluation index is calculated to determine the warning level corresponding to the local warning based on the comprehensive alarm evaluation index; the local warning corresponding to the warning level is sent, and the warning information and the warning level are reported, so that by integrating multiple sensors, environmental changes can be accurately judged, comprehensive alarm evaluation indicators can be calculated, and intelligent local warnings can be realized, so as to improve the intelligence level and response speed of fire safety management, thereby better protecting the safety of homes and public places.

[0109] An embodiment of the present invention further provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0110] Specifically, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0111] Specifically, in this embodiment, the processor may be configured to perform the following steps through a computer program:

[0112] S201, collecting environmental data of the current environment through multiple sensors configured inside the smart lock;

[0113] S202, judging whether to start a local warning according to the environmental data;

[0114] S203, if the local warning is started, calculating the comprehensive alarm evaluation index to determine the warning level corresponding to the local warning based on the comprehensive alarm evaluation index;

[0115] S204: Send a local warning corresponding to the warning level, and report warning information and the warning level.

[0116] It can be seen that through the multiple sensors configured inside the smart lock, the environmental data of the current environment is collected; based on the environmental data, it is determined whether to start the local warning; if the local warning is started, the comprehensive alarm evaluation index is calculated to determine the warning level corresponding to the local warning based on the comprehensive alarm evaluation index; the local warning corresponding to the warning level is sent, and the warning information and the warning level are reported, so that by integrating multiple sensors, environmental changes can be accurately judged, comprehensive alarm evaluation indicators can be calculated, and intelligent local warnings can be realized, so as to improve the intelligence level and response speed of fire safety management, thereby better protecting the safety of homes and public places.

[0117] The above describes in detail the structure, features and effects of the present invention based on the embodiments shown in the drawings. The above is only a preferred embodiment of the present invention, but the present invention is not limited to the scope of implementation shown in the drawings. Any changes made according to the concept of the present invention, or modifications to equivalent embodiments with equivalent changes, which still do not exceed the spirit covered by the description and drawings, should be within the protection scope of the present invention.

Claims

1. A smoke control alarm method based on smart lock, characterized in that: The method comprises: Collect environmental data of the current environment through multiple sensors configured inside the smart lock; Determining whether to initiate a local early warning based on the environmental data; If the local warning is activated, calculating the comprehensive alarm evaluation index to determine the warning level corresponding to the local warning based on the comprehensive alarm evaluation index; Send a local warning corresponding to the warning level, and report the warning information and the warning level.

2. The method according to claim 1, characterized in that The determining whether to initiate a local warning according to the environmental data includes: Determine whether the smoke concentration data in the environmental data is greater than a preset smoke concentration threshold; If the smoke concentration data is greater than a preset smoke concentration threshold, determining whether the temperature data in the environmental data is greater than a preset temperature threshold; If the temperature data is greater than a preset temperature threshold, a local warning is initiated.

3. The method according to claim 2, characterized in that The calculation formula of the comprehensive alarm evaluation index is: Among them, I is a comprehensive alarm evaluation index, S is the smoke concentration data in the environmental data, S_{threshold} is a preset smoke concentration threshold, T is the temperature data in the environmental data, T_{threshold} is a preset temperature threshold, H is the humidity data in the environmental data, H_{threshold} is a preset humidity threshold, C is the CO concentration data in the environmental data, C_{threshold} is a preset CO concentration threshold, A is the air quality index in the environmental data, w_1, w_2, w_3, w_4, w_5 are weight coefficients corresponding to the parameters S, T, H, C, and A.

4. The method according to claim 3, characterized in that The calculation formula of the weight coefficient is: Among them, w_i is the weight coefficient of the i-th parameter, and i=1, 2, 3, 4, 5, R_i is the historical risk assessment value of the i-th parameter, R_j is the historical risk assessment value of the j-th parameter, alpha is the adjustment coefficient used to control the sensitivity of the weight, and N is the number of parameters, and N=5.

5. The method according to claim 4, characterized in that The R_i is:

6. The method according to claim 5, characterized in that The sending of the local warning corresponding to the warning level and reporting of the warning information and the warning level includes: A local sound and light alarm corresponding to the warning level is issued, and warning information is sent to the emergency management platform and user mobile terminals through various communication networks.

7. The method according to claim 6, characterized in that The method further comprises: After sending a local warning corresponding to the warning level and reporting the warning information and the warning level, the smart lock is controlled to enable the escape unlocking function.

8. A smoke control alarm system based on smart lock, characterized in that: The system comprises: The acquisition module is used to collect environmental data of the current environment through multiple sensors configured inside the smart lock; A judgment module, used to judge whether to start a local warning according to the environmental data; A calculation module, for calculating a comprehensive alarm evaluation index if a local alarm is activated, so as to determine an alarm level corresponding to the local alarm based on the comprehensive alarm evaluation index; The warning module is used to send a local warning corresponding to the warning level and report the warning information and the warning level.

9. A storage medium, characterized in that: The storage medium stores a computer program, wherein the computer program is configured to execute the method according to any one of claims 1 to 7 when executed.

10. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to run the computer program to perform the method according to any one of claims 1 to 7.

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