Fire real-time monitoring and alarming system and method

Abstract

The invention provides a real-time fire monitoring and alarming system and method. The system comprises a multi-parameter sensing subsystem, an intelligent monitoring subsystem and a data transmission subsystem. The sensing subsystem is responsible for collecting environment temperature, smoke concentration and combustible gas concentration. And the intelligent monitoring subsystem comprises a central processing unit and an alarm decision module, dynamically adjusts an acquisition interval according to a data triggering monitoring mode, and gives an alarm in case of abnormality. The system initially sets an acquisition interval which is automatically adjusted along with environment change. And the user interface allows parameter adjustment and manual alarm, so that the flexibility and response speed of the system can be ensured.

Description

Technical Field

[0001] The present invention relates to the field of fire safety technology, and more specifically, to a real-time fire monitoring and alarm system and method. Background Art

[0002] In the field of fire safety, traditional fire monitoring and alarm systems usually rely on a single sensor, such as monitoring only smoke concentration or temperature changes, to identify fire risks. These systems often have problems such as single monitoring parameters, slow response, and high false alarm rates. For example, single temperature monitoring cannot distinguish between normal fluctuations in ambient temperature and temperature rise caused by fire, while single smoke monitoring may be overly sensitive to natural sources of smoke (such as cooking smoke). In addition, these systems usually use fixed time intervals for data collection and cannot dynamically adjust the monitoring frequency according to actual environmental changes, resulting in the failure to issue an alarm in time at the early stage of a fire.

[0003] In the process of implementing the embodiments of the present invention, the inventors found that there are at least the following problems or defects in the prior art: the existing system has insufficient monitoring and early warning capabilities in the early stages of a fire, especially in complex environments, where it is difficult to accurately determine the risk of a fire by monitoring a single parameter, and lacks the ability to comprehensively analyze multiple fire characteristic parameters, resulting in the accuracy and reliability of the alarm system to be improved. In addition, the existing system also has deficiencies in handling false alarms and missed alarms, and cannot effectively distinguish between fire and non-fire situations, thereby affecting the practicality of the alarm system and the trust of users. Summary of the invention

[0004] The invention provides a real-time fire monitoring and alarm system and method.

[0005] In a first aspect of the present invention, a real-time fire monitoring and alarm system is provided, comprising: Multi-parameter sensing subsystem, multi-parameter intelligent monitoring subsystem and data transmission subsystem; Multi-parameter sensing subsystem, used to collect ambient temperature information, smoke concentration information and combustible gas concentration status data; A multi-parameter intelligent monitoring subsystem, including a central processing unit and an alarm decision module, is used to trigger a high temperature monitoring mode or a smoke concentration monitoring mode according to the collected ambient temperature information and smoke concentration information; In the high temperature monitoring mode, the time interval for collecting the combustible gas concentration status data is determined according to the combustible gas concentration status data and the ambient temperature information. When there is a concentration change exceeding the threshold, the ambient temperature information and the combustible gas concentration status data are sent through the data transmission subsystem; In the smoke concentration monitoring mode, the time interval for collecting the combustible gas concentration status data is determined based on the combustible gas concentration status data and the smoke concentration information. When there is a concentration change exceeding the threshold, the smoke concentration information and the combustible gas concentration status data are sent through the data transmission subsystem.

[0006] Furthermore, firstly, according to the initial temperature change of the environment and the initial smoke concentration, the initial collection time interval of the combustible gas concentration state data is set; Then, when the ambient temperature or smoke concentration reaches a threshold value, the combustible gas concentration state data collection time interval is gradually reduced as the ambient temperature or smoke concentration increases.

[0007] Furthermore, the multi-parameter sensing subsystem includes a temperature sensing terminal, a smoke concentration sensing terminal, and a multi-channel combustible gas concentration monitoring network; Temperature sensing terminal, used to collect ambient temperature information; Smoke density sensor terminal, used to collect smoke density information; A multi-channel combustible gas concentration monitoring network is composed of at least one combustible gas sensor and is used to collect combustible gas concentration status data.

[0008] Furthermore, the working method of the multi-parameter intelligent monitoring subsystem includes the following steps: The central processing unit periodically receives ambient temperature information, smoke concentration information and combustible gas concentration status data from the multi-parameter sensing subsystem; The central processing unit pre-processes the received data, including filtering, denoising and normalization, to improve the accuracy of the data; The alarm decision module matches the pre-processed data with the preset fire characteristic parameters, including but not limited to the temperature threshold, smoke concentration threshold and combustible gas concentration threshold; The alarm decision module uses a logical judgment algorithm to conduct a comprehensive analysis of the data to identify signs of fire; The user interface provides real-time data display, alarm history and system status monitoring, while allowing users to adjust thresholds and parameter settings according to actual conditions; The user interface also includes manual alarm and emergency response functions so that operators can intervene if the automatic system fails to trigger an alarm.

[0009] Furthermore, the alarm decision module uses a logical judgment algorithm to conduct a comprehensive analysis of the data to identify signs of fire. The specific steps include: Input pre-processed ambient temperature information, smoke concentration information and combustible gas concentration status data; Compare the input data with the system's preset fire thresholds; Based on the comparison results, a comprehensive fire risk index is calculated, which is the output of the following logic function: in, represents the comprehensive fire risk index, represents the temperature risk value, Indicates the smoke concentration risk value, Indicates the combustible gas concentration risk value, , and are the weight coefficients of the corresponding parameters respectively; When the comprehensive fire risk index When the set alarm threshold is exceeded, the system triggers an alarm.

[0010] Further, the formula for identifying signs of fire is as follows: Temperature Risk Value The calculation formula is: in, is the current ambient temperature, Normal ambient temperature, is the maximum safe value of the ambient temperature; Smoke density risk value The calculation formula is: in, is the current smoke density, Normal smoke concentration. is the maximum safe value of smoke concentration; Combustible gas concentration risk value The calculation formula is: in, is the current combustible gas concentration, is the normal concentration of combustible gas, It is the maximum safe value of combustible gas concentration.

[0011] In a second aspect of the present invention, a real-time fire monitoring and alarm method is provided, comprising: Collect ambient temperature information and smoke concentration information; Compare the collected ambient temperature information and smoke concentration information with the threshold data. When the ambient temperature data exceeds the threshold, the high temperature monitoring mode is triggered; when the smoke concentration exceeds the threshold, the smoke concentration monitoring mode is triggered; Triggering the high temperature monitoring mode, including reducing the time interval for collecting combustible gas concentration status data, and sending the collected data to the monitoring center when there is a concentration change exceeding the threshold; The smoke concentration monitoring mode is triggered, including reducing the time interval for collecting combustible gas concentration status data, and sending the collected data to the monitoring center when there is a concentration change exceeding the threshold.

[0012] Furthermore, the period for collecting the ambient temperature information and the smoke concentration information is the minimum unit of temperature and smoke concentration changes; Cumulative calculation of changes in temperature and smoke concentration over short and long periods of time.

[0013] Furthermore, the high temperature monitoring mode and the smoke concentration monitoring mode first measure the combustible gas concentration information twice in a short period of time, obtain the change in the speed and acceleration of the combustible gas concentration based on the two combustible gas concentration information, and set the initial collection time interval; then, when the ambient temperature or smoke concentration reaches the threshold, the combustible gas concentration status data collection time interval is gradually reduced as the ambient temperature or smoke concentration increases.

[0014] Furthermore, in the high temperature monitoring mode and the smoke concentration monitoring mode, when there is a concentration change exceeding a threshold value, the smoke concentration information and combustible gas concentration status data or the ambient temperature information and combustible gas concentration status data are sent to the monitoring center.

[0015] The above-mentioned embodiments of the present invention have at least the following beneficial effects: by adopting a multi-parameter sensing subsystem, the present invention can comprehensively collect ambient temperature information, smoke concentration information and combustible gas concentration status data, thereby realizing multi-dimensional monitoring of fire risks. This comprehensive monitoring method can effectively improve the accuracy of fire warnings and reduce false alarms and missed alarms. At the same time, the multi-parameter intelligent monitoring subsystem can dynamically adjust the monitoring frequency and alarm threshold according to the real-time collected data, so that the system can more flexibly adapt to different environmental changes and issue fire alarms in a timely manner.

[0016] In addition, the alarm decision module in the present invention uses a logical judgment algorithm to conduct a comprehensive analysis of the data, and can further improve the accuracy of the alarm by calculating the comprehensive fire risk index to identify fire signs. The design of the user interaction interface enables users to monitor the system status in real time and adjust the parameter settings according to actual conditions, which can enhance the interactivity and adaptability of the system. In the event that the automatic system fails to trigger an alarm, the addition of manual alarm and emergency response functions can provide operators with necessary intervention means to ensure the reliability and safety of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The above and other objects, features and advantages of the exemplary embodiments of the present invention will become readily understood by reading the detailed description below with reference to the accompanying drawings. In the accompanying drawings, several embodiments of the present invention are shown in an exemplary and non-limiting manner, in which: Figure 1 A schematic diagram of the structure of a real-time fire monitoring and alarm system provided by an embodiment of the present invention; Figure 2 A flow chart of a method for real-time fire monitoring and alarming provided by an embodiment of the present invention; Figure 3 The schematic diagram schematically shows the structure of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0018] The principles and spirit of the present invention will be described below with reference to several exemplary embodiments. It should be understood that these embodiments are provided only to enable those skilled in the art to better understand and implement the present invention, and are not intended to limit the scope of the present invention in any way. On the contrary, these embodiments are provided to make the present invention more thorough and complete, and to fully convey the scope of the present invention to those skilled in the art.

[0019] Those skilled in the art know that the embodiments of the present invention can be implemented as a system, device, apparatus, method or computer program product. Therefore, the present invention can be specifically implemented in the following forms, namely: complete hardware, complete software (including firmware, resident software, microcode, etc.), or a combination of hardware and software.

[0020] It should be noted that any number of elements in the drawings is for illustration rather than limitation, and any naming is only for distinction and does not have any limiting meaning.

[0021] Reference below Figure 1 , Figure 1 This is a schematic diagram of the structure of a real-time fire monitoring and alarm system provided by an embodiment of the present invention. Figure 1 As shown, a real-time fire monitoring and alarm system 100 includes: Multi-parameter sensing subsystem 101, multi-parameter intelligent monitoring subsystem 102 and data transmission subsystem 103; Multi-parameter sensing subsystem, used to collect ambient temperature information, smoke concentration information and combustible gas concentration status data; A multi-parameter intelligent monitoring subsystem, including a central processing unit and an alarm decision module, is used to trigger a high temperature monitoring mode or a smoke concentration monitoring mode according to the collected ambient temperature information and smoke concentration information; In the high temperature monitoring mode, the time interval for collecting the combustible gas concentration status data is determined according to the combustible gas concentration status data and the ambient temperature information. When there is a concentration change exceeding the threshold, the ambient temperature information and the combustible gas concentration status data are sent through the data transmission subsystem; In the smoke concentration monitoring mode, the time interval for collecting the combustible gas concentration status data is determined based on the combustible gas concentration status data and the smoke concentration information. When there is a concentration change exceeding the threshold, the smoke concentration information and the combustible gas concentration status data are sent through the data transmission subsystem.

[0022] It should be noted that this system includes a multi-parameter sensing subsystem, a multi-parameter intelligent monitoring subsystem and a data transmission subsystem. Here, the multi-parameter sensing subsystem refers to a system composed of multiple sensors, which are responsible for collecting ambient temperature, smoke concentration and combustible gas concentration respectively. The multi-parameter intelligent monitoring subsystem includes a central processing unit and an alarm decision module, which are used to analyze the data collected by the sensors and make corresponding alarm decisions. The data transmission subsystem is responsible for sending the alarm information to the monitoring center or other related equipment.

[0023] Specifically, the multi-parameter sensing subsystem consists of a temperature sensing terminal, a smoke concentration sensing terminal, and a multi-channel combustible gas concentration monitoring network. The temperature sensing terminal is responsible for real-time monitoring of ambient temperature changes, the smoke concentration sensing terminal monitors the concentration of smoke, and the multi-channel combustible gas concentration monitoring network consists of multiple combustible gas sensors, which can monitor the combustible gas concentration in the environment in real time. The intelligent monitoring subsystem receives data from the sensing subsystem and pre-processes the data through the central processing unit, such as filtering, denoising, and normalization, to improve the accuracy of the data.

[0024] Preferably, the system will set an initial collection time interval for the combustible gas concentration status data in the initial state. This time interval will be dynamically adjusted according to the change of ambient temperature or smoke concentration. For example, when the ambient temperature or smoke concentration reaches a preset threshold, the system will automatically reduce the collection time interval to monitor the change of combustible gas concentration more frequently.

[0025] Furthermore, the alarm decision module will match the preprocessed data with the preset fire characteristic parameters, and use a logical judgment algorithm to calculate a comprehensive fire risk index. When the index exceeds the set alarm threshold, the system will trigger an alarm and send relevant information to the monitoring center through the data transmission subsystem.

[0026] More specifically, the system can also adjust the weight coefficient and threshold settings according to actual application scenarios and user needs to adapt to different monitoring environments and safety requirements.

[0027] In some embodiments, first, according to the initial temperature change of the environment and the initial smoke concentration, the initial collection time interval of the combustible gas concentration state data is set; Then, when the ambient temperature or smoke concentration reaches a threshold value, the combustible gas concentration state data collection time interval is gradually reduced as the ambient temperature or smoke concentration increases.

[0028] It should be noted that, in this embodiment, the system will set the initial collection time interval of the combustible gas concentration state data according to the initial temperature change of the environment and the initial smoke concentration. The initial collection time interval refers to a time interval set according to the initial state of the environment after the system is started, which is used to determine the frequency of starting to collect combustible gas concentration data. The system will regularly collect combustible gas concentration data according to this time interval for subsequent analysis and judgment.

[0029] Specifically, the setting of the initial collection time interval is based on the measurement of the initial ambient temperature and smoke concentration. For example, the system may set an initial time interval of 60 seconds, which means that the system will collect combustible gas concentration data every 60 seconds. When the system detects a significant change in ambient temperature or smoke concentration, that is, reaching or exceeding the preset threshold, the system will automatically adjust this time interval, such as reducing it to 30 seconds or shorter, to monitor changes in combustible gas concentration more frequently, so as to respond to possible fire risks more promptly.

[0030] Preferably, the system will gradually reduce the time interval for collecting combustible gas concentration status data as the ambient temperature or smoke concentration increases. This means that as the environmental conditions become more severe, the system will become more sensitive and collect data at a faster rate. For example, the system may set a rule that every time the ambient temperature rises by 5 degrees Celsius or the smoke concentration rises by a certain percentage, the collection time interval is reduced by 10 seconds.

[0031] Furthermore, the system can also adaptively adjust the collection time interval based on historical data and learning algorithms to achieve more accurate fire risk assessment. Such an adaptive adjustment mechanism can improve the system's response speed and warning accuracy, thereby better protecting people's lives and property.

[0032] In some embodiments, the multi-parameter sensing subsystem includes a temperature sensing terminal, a smoke concentration sensing terminal, and a multi-channel combustible gas concentration monitoring network; Temperature sensing terminal, used to collect ambient temperature information; Smoke density sensor terminal, used to collect smoke density information; A multi-channel combustible gas concentration monitoring network is composed of at least one combustible gas sensor and is used to collect combustible gas concentration status data.

[0033] It should be noted that the multi-parameter sensing subsystem in this embodiment includes a temperature sensing terminal, a smoke concentration sensing terminal and a multi-channel combustible gas concentration monitoring network. The multi-channel combustible gas concentration monitoring network refers to a network system composed of multiple combustible gas sensors, which can simultaneously monitor the concentration of different areas or different types of combustible gases in the environment. The network can provide more comprehensive combustible gas monitoring and enhance the monitoring capability of the system.

[0034] Specifically, the temperature sensing terminal and the smoke concentration sensing terminal are two specialized sensors used to monitor the temperature and smoke concentration in the environment in real time. These sensors are usually characterized by high precision and fast response, and can capture small changes in the environment in a timely manner. The multi-channel combustible gas concentration monitoring network consists of at least one combustible gas sensor, which may be distributed on different floors or rooms of the building to achieve comprehensive monitoring of the entire building environment. Each sensor sends the monitored data to the central processing unit wirelessly or wired.

[0035] Preferably, the sensors in the multi-channel combustible gas concentration monitoring network can be configured and optimized according to the actual monitoring needs. For example, if a certain area is considered a high-risk area, the number of sensors in the area can be increased to improve the monitoring density.

[0036] Furthermore, the system can also set different monitoring parameters according to different types of combustible gases, such as monitoring frequency, alarm threshold, etc., to adapt to different monitoring scenarios. In some cases, mobile sensors can also be used, which can be moved to different monitoring locations regularly to provide a more flexible monitoring solution.

[0037] In some embodiments, the operation of the multi-parameter intelligent monitoring subsystem includes the following steps: The central processing unit periodically receives ambient temperature information, smoke concentration information and combustible gas concentration status data from the multi-parameter sensing subsystem; The central processing unit pre-processes the received data, including filtering, denoising and normalization, to improve the accuracy of the data; The alarm decision module matches the pre-processed data with the preset fire characteristic parameters, including but not limited to the temperature threshold, smoke concentration threshold and combustible gas concentration threshold; The alarm decision module uses a logical judgment algorithm to conduct a comprehensive analysis of the data to identify signs of fire; The user interface provides real-time data display, alarm history and system status monitoring, while allowing users to adjust thresholds and parameter settings according to actual conditions; The user interface also includes manual alarm and emergency response functions so that operators can intervene if the automatic system fails to trigger an alarm.

[0038] It should be noted that the working mode of the multi-parameter intelligent monitoring subsystem includes a series of steps involving receiving data from the sensing subsystem, data preprocessing, alarm decision-making, and providing a user interaction interface. The central processing unit refers to the brain of the system, responsible for coordinating and processing all incoming data, while the alarm decision module is a component that performs data analysis and alarm triggering based on preset fire characteristic parameters.

[0039] Specifically, the central processing unit periodically receives data from the temperature sensing terminal, the smoke concentration sensing terminal and the multi-channel combustible gas concentration monitoring network. These data include real-time temperature values, smoke concentration values ​​and combustible gas concentration values. After receiving, the central processing unit will preprocess these raw data. The preprocessing steps include filtering to remove noise in the data, denoising to eliminate outliers, and normalization to make the data on the same scale, thereby improving the accuracy and reliability of the data. The alarm decision module will match the preprocessed data with the preset fire characteristic parameters, which may include temperature thresholds, smoke concentration thresholds and combustible gas concentration thresholds.

[0040] Preferably, the alarm decision module uses a logical judgment algorithm to conduct a comprehensive analysis of the data to identify signs of fire. This may include setting different weight coefficients to reflect the importance of different parameters in the fire risk assessment. The user interface provides a visual operation platform where users can monitor data display in real time, view alarm history records and system status monitoring.

[0041] Furthermore, users can adjust thresholds and parameter settings according to actual conditions to adapt to different environments or needs. The user interface also includes manual alarm and emergency response functions so that operators can intervene when the automatic system fails to trigger an alarm, ensuring the flexibility and safety of the system.

[0042] More specifically, the system can provide multiple manual alarm methods, such as button pressing, voice command or remote control, as well as preset emergency response protocols to ensure that action can be taken quickly and effectively in an emergency.

[0043] In some embodiments, the alarm decision module uses a logical judgment algorithm to perform a comprehensive analysis of the data to identify signs of fire. The specific steps include: Input pre-processed ambient temperature information, smoke concentration information and combustible gas concentration status data; Compare the input data with the system's preset fire thresholds; Based on the comparison results, a comprehensive fire risk index is calculated, which is the output of the following logic function: in, represents the comprehensive fire risk index, represents the temperature risk value, Indicates the smoke concentration risk value, Indicates the combustible gas concentration risk value, , and are the weight coefficients of the corresponding parameters respectively; When the comprehensive fire risk index When the set alarm threshold is exceeded, the system triggers an alarm.

[0044] It should be noted that the alarm decision module uses a logical judgment algorithm to conduct a comprehensive analysis of the data to identify signs of fire. A logical judgment algorithm refers to a computer program that uses a series of preset rules and conditions to process input data and make decisions based on these rules. It processes ambient temperature information, smoke concentration information, and combustible gas concentration status data and compares them with the preset fire threshold.

[0045] Specifically, the alarm decision module first receives the pre-processed ambient temperature information, smoke concentration information and combustible gas concentration status data. These data will be compared with the system's preset fire thresholds, which are set by the system based on historical data and expert knowledge to determine whether a fire is likely to occur. Then, based on the comparison results, the system will calculate a comprehensive fire risk index. This index is the output of a logical function that combines the temperature risk value, smoke concentration risk value and combustible gas concentration risk value and multiplies them by their respective weight coefficients. The weight coefficient reflects the relative importance of each parameter in the fire risk assessment.

[0046] Preferably, the system can adjust the weight coefficient and threshold setting according to the actual application scenario and historical fire data to optimize the accuracy of fire risk assessment. For example, if the historical data of a certain place shows that combustible gas leakage is more likely to cause a fire, the weight coefficient of the combustible gas concentration risk value can be increased accordingly.

[0047] Weight coefficient , and This can be determined by: The importance of each parameter is quantified using the entropy weight method or the analytic hierarchy process (AHP) to determine the weight coefficient of each parameter; The entropy weight method is an objective weighting method that determines the weight by calculating the information entropy and information utility value of each indicator. The smaller the information entropy value, the greater the amount of information provided by the indicator, and therefore the greater the weight. In fire risk assessment, the original data must first be standardized, then the information entropy of each indicator is calculated, and finally the weight is determined according to the information utility value.

[0048] The analytic hierarchy process determines the weights by constructing a judgment matrix and performing a consistency test, and determines the relative importance of each factor through expert scoring or data analysis; when the comprehensive fire risk index exceeds the set alarm threshold, the system triggers an alarm.

[0049] The analytic hierarchy process decomposes the decision-making objectives into the target layer, the criterion layer and the scheme layer by constructing a hierarchical model. In fire risk assessment, the target layer can be set as "fire risk assessment", the criterion layer includes "ambient temperature", "smoke concentration" and "combustible gas concentration", and the scheme layer is the specific assessment scheme. Through expert scoring, a judgment matrix is ​​constructed, and the weight of each criterion layer factor to the target layer is calculated.

[0050] For example, the following weight values ​​can be obtained: The weight of the temperature risk value The weight of the smoke concentration risk value is 0.4. =0.3, the weight of the combustible gas concentration risk value These weight values ​​reflect the quantitative expression of the relative importance of each parameter in fire risk assessment and can be adjusted according to different actual application scenarios and data.

[0051] In some embodiments, the formula for identifying signs of fire is as follows: Temperature Risk Value The calculation formula is: in, is the current ambient temperature, Normal ambient temperature, is the maximum safe value of the ambient temperature; Smoke density risk value The calculation formula is: in, is the current smoke density, Normal smoke concentration. is the maximum safe value of smoke concentration; Combustible gas concentration risk value The calculation formula is: in, is the current combustible gas concentration, is the normal concentration of combustible gas, It is the maximum safe value of combustible gas concentration.

[0052] It should be noted that the formula for identifying signs of fire specifically defines how to calculate the temperature risk value, smoke concentration risk value and combustible gas concentration risk value. The temperature risk value refers to the risk level assessed based on the difference between the current ambient temperature and the preset normal temperature and maximum safe temperature. The smoke concentration risk value and combustible gas concentration risk value are similarly calculated based on the difference between the smoke concentration and combustible gas concentration and their normal values ​​and maximum safe values, respectively.

[0053] Specifically, the calculation formula for temperature risk value is:

[0054] This formula calculates a risk value between 0 and 1 by comparing the current ambient temperature with the difference between the normal temperature and the maximum safe temperature. The larger the value, the higher the risk. Similarly, the calculation method of the smoke concentration risk value and the combustible gas concentration risk value is also based on the difference between the current concentration and the normal concentration and the maximum safe concentration.

[0055] Preferably, the system can set the normal ambient temperature, normal smoke concentration, and normal flammable gas concentration, as well as their maximum safe values, based on the actual environment and historical data. The settings of these parameters can be adjusted based on seasonal changes, site characteristics, and historical accident data. For example, for an industrial kitchen environment, the normal smoke concentration may be higher than that of an office environment, so these parameters need to be set according to actual usage.

[0056] More specifically, the system can also be designed to automatically adjust these parameters based on real-time data to adapt to environmental changes and improve the accuracy and real-time nature of fire risk assessment. In addition, the system can also improve the comprehensiveness and reliability of risk assessment by integrating more sensors and data sources.

[0057] The above-mentioned embodiments of the present invention have the following beneficial effects: The real-time fire monitoring and alarm system of the present invention can realize real-time monitoring of ambient temperature, smoke concentration and combustible gas concentration by integrating a multi-parameter sensing subsystem, a multi-parameter intelligent monitoring subsystem and a data transmission subsystem. This integrated monitoring method can provide a more comprehensive fire risk assessment and timely discover potential fire hazards. The system can automatically adjust the time interval for data collection according to the monitored environmental changes, so that key data can be collected more frequently in the early or developing stages of a fire, so as to quickly respond and issue an alarm, which can effectively shorten the time delay from the occurrence of a fire to the issuance of an alarm.

[0058] In addition, the system pre-processes the collected data through the central processing unit, and combined with the logical judgment algorithm of the alarm decision module, it can accurately identify signs of fire. The design of the user interaction interface can not only provide real-time data display and system status monitoring, but also allow users to adjust thresholds and parameter settings according to actual conditions, which can enhance the flexibility and adaptability of the system. In the event that the automatic monitoring system fails to trigger an alarm, the addition of manual alarm and emergency response functions can provide operators with the necessary intervention means to ensure the reliability and safety of the system. This design can take quick action in an emergency and reduce the losses caused by fire.

[0059] like Figure 2 As shown, a real-time fire monitoring and alarm method 200 of some embodiments includes: Step 201, collecting ambient temperature information and smoke concentration information; Step 202, compare the collected ambient temperature information and smoke concentration information with the threshold data, and when the ambient temperature data exceeds the threshold, trigger the high temperature monitoring mode; when the smoke concentration exceeds the threshold, trigger the smoke concentration monitoring mode; Step 203, triggering the high temperature monitoring mode, including reducing the time interval for collecting the combustible gas concentration status data, and sending the collected data to the monitoring center when there is a concentration change exceeding the threshold; Step 204, triggering the smoke concentration monitoring mode, includes reducing the time interval for collecting combustible gas concentration status data, and sending the collected data to the monitoring center when there is a concentration change exceeding the threshold.

[0060] It is understandable that the steps described in the real-time fire monitoring and alarm method 200 are similar to those described in the reference Figure 1 Therefore, the modules, features and beneficial effects described above for the real-time fire monitoring alarm system are also applicable to the real-time fire monitoring alarm method 200 and the operations contained therein, and will not be described in detail here.

[0061] In some embodiments, the period for collecting the ambient temperature information and the smoke concentration information is the minimum unit of the temperature and smoke concentration changes; Cumulative calculation of changes in temperature and smoke concentration over short and long periods of time.

[0062] It should be noted that the real-time fire monitoring and alarm method in this embodiment pays special attention to the collection cycle of ambient temperature information and smoke concentration information. The collection cycle refers to the time interval for the system to collect data on ambient temperature and smoke concentration. This cycle is set based on the minimum unit of temperature and smoke concentration changes to ensure that any slight changes can be captured.

[0063] Specifically, the system will set an initial collection cycle based on real-time monitoring of changes in ambient temperature and smoke concentration. For example, if changes in temperature and smoke concentration can be detected in seconds, the collection cycle may be set to a few seconds. The system will accumulate and calculate changes in temperature and smoke concentration over a short period of time, which can be achieved by comparing and analyzing continuously collected data points. This cumulative calculation method can help the system identify trends in temperature and smoke concentration, rather than just the status of a single data point.

[0064] Preferably, the system can dynamically adjust the collection cycle according to the rate of change of the monitored temperature and smoke concentration. For example, if a rapid increase in temperature or smoke concentration is detected, the system can automatically shorten the collection cycle to collect data more intensively and respond quickly to possible fire risks.

[0065] Furthermore, the system can also preset different collection cycles according to environmental changes at different times of the day or specific events (such as holidays, special events, etc.) to adapt to different monitoring needs.

[0066] More specifically, the system can also integrate a prediction model that predicts the changing trends of temperature and smoke concentration based on historical data and environmental factors, and adjusts the collection cycle accordingly, thereby achieving more efficient and accurate fire monitoring.

[0067] In some embodiments, the high temperature monitoring mode and the smoke concentration monitoring mode first measure the combustible gas concentration information twice in a short period of time, obtain the change in the speed and acceleration of the combustible gas concentration based on the two combustible gas concentration information, and set the initial collection time interval; then, when the ambient temperature or smoke concentration reaches the threshold, the combustible gas concentration status data collection time interval is gradually reduced as the ambient temperature or smoke concentration increases.

[0068] It should be noted that the high temperature monitoring mode and the smoke concentration monitoring mode in this embodiment first measure the combustible gas concentration information twice in a short period of time. The speed and acceleration of the change of the combustible gas concentration refer to the calculation of the rate of change of the combustible gas concentration and the rate of change of the rate of change by the data obtained from the two measurements, so as to evaluate the speed and trend of the change of the combustible gas concentration.

[0069] Specifically, the system will first perform two rapid measurements of the combustible gas concentration, and then calculate the rate of change and acceleration of the combustible gas concentration based on the two measurement results. These calculation results will be used to set the initial collection time interval, that is, the system will adjust the time interval for subsequent data collection according to the speed of the change of the combustible gas concentration. For example, if the combustible gas concentration changes very quickly, the system may set a shorter collection interval to monitor the combustible gas concentration more frequently. Conversely, if the change is slow, a longer collection interval can be set.

[0070] Preferably, the system can adaptively adjust the acquisition time interval according to the speed and acceleration of the change of the combustible gas concentration. This means that the system not only performs two measurements in the initial stage, but also continuously analyzes the trend of the combustible gas concentration during the monitoring process and adjusts the acquisition interval in real time.

[0071] Furthermore, the system can also comprehensively judge the fire risk based on the changes in ambient temperature and smoke concentration, and further optimize the collection strategy accordingly. More specifically, the system can design an intelligent algorithm that takes into account multiple environmental parameters and historical fire data, and automatically adjusts the collection interval and alarm threshold to achieve more accurate and timely fire warnings.

[0072] In some embodiments, the high temperature monitoring mode and the smoke concentration monitoring mode send smoke concentration information and combustible gas concentration status data or ambient temperature information and combustible gas concentration status data to the monitoring center when there is a concentration change exceeding a threshold.

[0073] It should be noted that in this embodiment, when a concentration change exceeding a threshold is detected, the system will send smoke concentration information and combustible gas concentration status data or ambient temperature information and combustible gas concentration status data to a monitoring center. The monitoring center refers to a central control room or server responsible for receiving, processing and responding to alarm information, which can be a local control panel or a remote data center.

[0074] Specifically, when the system detects that the smoke concentration or ambient temperature in the environment reaches or exceeds the preset safety threshold, the alarm mechanism will be automatically triggered. At this time, the system will not only issue an audible and visual alarm, but also transmit relevant monitoring data, including smoke concentration, combustible gas concentration, and ambient temperature information, to the monitoring center through the network. After receiving this data, the monitoring center can conduct further analysis and processing, such as notifying the fire department, launching emergency plans, or guiding on-site personnel to evacuate.

[0075] Preferably, the system can be designed to support multiple data transmission modes to ensure that the alarm information can be effectively sent to the monitoring center in different situations. For example, the system can send data via wired network, wireless network or satellite communication.

[0076] Furthermore, in order to improve the reliability of data transmission, the system can also use data encryption and error detection technology to ensure the integrity and security of data during transmission. More specifically, the system can also design a redundancy mechanism, that is, when there is a problem with the main transmission path, it automatically switches to the backup path to ensure that the alarm information can be conveyed to the monitoring center in a timely and accurate manner.

[0077] Reference below Figure 3 , which shows a schematic diagram of a structure 300 of an electronic device suitable for implementing some embodiments of the present invention. The electronic devices in some embodiments of the present invention may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 3 The terminal device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0078] like Figure 3 As shown, the electronic device 300 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 301, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 302 or a program loaded from a storage device 308 to a random access memory (RAM) 303. In the RAM 303, various programs and data required for the operation of the electronic device 300 are also stored. The processing device 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304.

[0079] Typically, the following devices may be connected to the I / O interface 305: an input device 306 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 307 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 308 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 309. The communication device 309 may allow the electronic device 300 to communicate with other devices wirelessly or by wire to exchange data. Figure 3 The electronic device 300 is shown with various devices, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead. Figure 3 Each block shown in the figure may represent one device, or may represent multiple devices as required.

[0080] Furthermore, the storage medium of the embodiment of the present application stores program instructions that can implement all the above methods, wherein the program instructions can be stored in the above storage medium in the form of a software product, including several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) or a processor to execute all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, or terminal devices such as a computer, a server, a mobile phone, and a tablet.

[0081] The above descriptions are only some preferred embodiments of the present invention and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present invention is not limited to the technical solutions formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above inventive concept. For example, the above features are replaced with (but not limited to) technical features with similar functions disclosed in the embodiments of the present invention.

Claims

1. A real-time fire monitoring and alarm system, characterized in that: It includes multi-parameter sensing subsystem, multi-parameter intelligent monitoring subsystem and data transmission subsystem; Multi-parameter sensing subsystem, used to collect ambient temperature information, smoke concentration information and combustible gas concentration status data; A multi-parameter intelligent monitoring subsystem, including a central processing unit and an alarm decision module, is used to trigger a high temperature monitoring mode or a smoke concentration monitoring mode according to the collected ambient temperature information and smoke concentration information; In the high temperature monitoring mode, the time interval for collecting the combustible gas concentration status data is determined according to the combustible gas concentration status data and the ambient temperature information. When there is a concentration change exceeding the threshold, the ambient temperature information and the combustible gas concentration status data are sent through the data transmission subsystem; In the smoke concentration monitoring mode, the time interval for collecting the combustible gas concentration status data is determined based on the combustible gas concentration status data and the smoke concentration information. When there is a concentration change exceeding the threshold, the smoke concentration information and the combustible gas concentration status data are sent through the data transmission subsystem.

2. The real-time fire monitoring and alarm system according to claim 1 is characterized in that: First, according to the initial temperature change of the environment and the initial smoke concentration, the initial collection time interval of the combustible gas concentration state data is set; Then, when the ambient temperature or smoke concentration reaches a threshold value, the combustible gas concentration state data collection time interval is gradually reduced as the ambient temperature or smoke concentration increases.

3. The real-time fire monitoring and alarm system according to claim 1 is characterized in that: The multi-parameter sensing subsystem includes a temperature sensing terminal, a smoke concentration sensing terminal, and a multi-channel combustible gas concentration monitoring network; Temperature sensing terminal, used to collect ambient temperature information; Smoke density sensor terminal, used to collect smoke density information; A multi-channel combustible gas concentration monitoring network is composed of at least one combustible gas sensor and is used to collect combustible gas concentration status data.

4. The real-time fire monitoring and alarm system according to claim 1 is characterized in that: The working mode of the multi-parameter intelligent monitoring subsystem includes the following steps: The central processing unit periodically receives ambient temperature information, smoke concentration information and combustible gas concentration status data from the multi-parameter sensing subsystem; The central processing unit pre-processes the received data, including filtering, denoising and normalization, to improve the accuracy of the data; The alarm decision module matches the pre-processed data with the preset fire characteristic parameters, including but not limited to the temperature threshold, smoke concentration threshold and combustible gas concentration threshold; The alarm decision module uses a logical judgment algorithm to conduct a comprehensive analysis of the data to identify signs of fire; The user interface provides real-time data display, alarm history and system status monitoring, while allowing users to adjust thresholds and parameter settings according to actual conditions; The user interface also includes manual alarm and emergency response functions to allow operators to intervene if the automatic system fails to trigger an alarm.

5. The real-time fire monitoring and alarm system according to claim 1 is characterized in that: The alarm decision module uses a logical judgment algorithm to conduct a comprehensive analysis of the data to identify signs of fire. The specific steps include: Input pre-processed ambient temperature information, smoke concentration information and combustible gas concentration status data; Compare the input data with the system's preset fire thresholds; Based on the comparison results, a comprehensive fire risk index is calculated, which is the output of the following logic function: in, represents the comprehensive fire risk index, represents the temperature risk value, Indicates the smoke concentration risk value, Indicates the combustible gas concentration risk value, , and are the weight coefficients of the corresponding parameters respectively; When the comprehensive fire risk index When the set alarm threshold is exceeded, the system triggers an alarm.

6. The real-time fire monitoring and alarm system according to claim 5 is characterized in that: The formula for identifying signs of fire is as follows: Temperature Risk Value The calculation formula is: in, is the current ambient temperature, Normal ambient temperature, is the maximum safe value of the ambient temperature; Smoke density risk value The calculation formula is: in, is the current smoke density, Normal smoke concentration. is the maximum safe value of smoke concentration; Combustible gas concentration risk value The calculation formula is: in, is the current combustible gas concentration, is the normal concentration of combustible gas, It is the maximum safe value of combustible gas concentration.

7. A real-time fire monitoring and alarm method, characterized in that: include: Collect ambient temperature information and smoke concentration information; Compare the collected ambient temperature information and smoke concentration information with the threshold data. When the ambient temperature data exceeds the threshold, the high temperature monitoring mode is triggered; when the smoke concentration exceeds the threshold, the smoke concentration monitoring mode is triggered; Triggering the high temperature monitoring mode, including reducing the time interval for collecting combustible gas concentration status data, and sending the collected data to the monitoring center when there is a concentration change exceeding the threshold; The smoke concentration monitoring mode is triggered, including reducing the time interval for collecting combustible gas concentration status data, and sending the collected data to the monitoring center when there is a concentration change exceeding the threshold.

8. The real-time fire monitoring and alarm method according to claim 7, characterized in that: The period for collecting the ambient temperature information and the smoke concentration information is the minimum unit of temperature and smoke concentration changes; Cumulative calculation of changes in temperature and smoke concentration over short and long periods of time.

9. The real-time fire monitoring and alarm method according to claim 7, characterized in that: The high temperature monitoring mode and the smoke concentration monitoring mode first measure the combustible gas concentration information twice in a short period of time, obtain the change in the speed and acceleration of the combustible gas concentration change based on the two combustible gas concentration information, and set the initial collection time interval; then, when the ambient temperature or the smoke concentration reaches the threshold, the combustible gas concentration status data collection time interval is gradually reduced as the ambient temperature or the smoke concentration increases.

10. The real-time fire monitoring and alarm method according to claim 9, characterized in that: In the high temperature monitoring mode and the smoke concentration monitoring mode, when there is a concentration change exceeding a threshold value, the smoke concentration information and combustible gas concentration status data or the ambient temperature information and combustible gas concentration status data are sent to the monitoring center.

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