A garden fire alarm method and system

Abstract

This application relates to a garden fire alarm method and system, belonging to the field of fire monitoring technology. The method includes: acquiring the detected smoke concentration; randomly selecting any two sensors to construct a device combination, and determining the smoke concentration difference based on the corresponding detected smoke concentration of the device combination; defining a key combination and secondary combinations, and defining key concentration differences and secondary concentration differences; constructing a historical interval, and defining similar time points within the historical interval based on the key concentration differences, and defining the smoke concentration difference between each secondary combination at the current similar time point as the historical concentration difference; determining a comparative concentration difference based on the current secondary concentration difference and the historical concentration difference; determining the number of secondary compliances based on the secondary combinations whose comparative concentration difference is less than the permissible concentration difference; and outputting a fire alarm signal when the number of secondary compliances with the largest value is less than a preset full-load compliance number. This application has the effect of effectively monitoring fire situations.

Description

Technical Field

[0001] This application relates to the field of fire monitoring technology, and in particular to a method and system for alarming fires in gardens. Background Technology

[0002] Fire alarm refers to the timely issuance of alarms by various fire alarm systems when a fire occurs, alerting people to take appropriate emergency measures, such as evacuating personnel and activating fire extinguishing equipment, in order to reduce the losses and injuries caused by the fire. Fire alarm systems typically include fire detectors, alarm devices, and linkage equipment. The design and installation of fire alarm systems must comply with local fire safety regulations and standards to ensure their reliable operation in the event of a fire.

[0003] Among related technologies, the most commonly used fire detector is the smoke sensor. When smoke concentration exceeding a set threshold is detected, it is determined that there is a fire in the vicinity of the smoke sensor, and a fire alarm signal is output so that management personnel can be informed of the situation in a timely manner.

[0004] In the aforementioned technologies, setting a high threshold concentration can lead to decreased sensitivity of the smoke sensor, while setting a low threshold concentration can easily result in false detections. Given the complex environment of gardens, where factors such as fog and pollen may affect smoke sensor detection, setting an appropriate threshold concentration for effective fire monitoring is a pressing issue that needs to be addressed. Summary of the Invention

[0005] In order to effectively monitor fire situations, this application provides a garden fire alarm method and system.

[0006] Firstly, this application provides a method for alarming fires in a garden, employing the following technical solution:

[0007] A method for alarming a garden fire, comprising:

[0008] Obtain the smoke concentration detected by each sensor;

[0009] Randomly select any two sensors to combine to construct a device combination, and calculate the difference in smoke concentration based on the corresponding smoke concentration detected by the device combination to determine the smoke concentration difference;

[0010] One equipment combination is randomly selected from all equipment combinations and defined as the key combination, and the remaining equipment combinations are defined as secondary combinations. The difference in smoke concentration between the current key combinations is defined as the key concentration difference, and the difference in smoke concentration between the current secondary combinations is defined as the secondary concentration difference.

[0011] Construct a historical interval on a preset timeline with the current time point as the endpoint and a width of a preset historical duration. In the historical interval, define the time point where the smoke concentration difference between the current key combinations is consistent with the current key concentration difference as a similar time point, and define the smoke concentration difference between the current secondary combinations at the similar time point as the historical concentration difference.

[0012] The relative concentration difference is determined by calculating the difference between the current minor concentration difference and the historical concentration difference.

[0013] The number of minor compliances is determined by counting minor combinations whose concentration difference is less than a preset permissible concentration difference.

[0014] The number of secondary conforming items with the largest value is determined according to the preset sorting rules, and a fire alarm signal is output when the number of secondary conforming items with the largest value is less than the preset full load conforming item number.

[0015] Optionally, after similar time points are determined, the garden fire alarm method may also include:

[0016] Determine whether there exists at least one key combination that has at least one similar time point;

[0017] If there is no key combination with at least one similar time point, then the preset fixed concentration is set as the threshold concentration for analysis based on the current detected smoke concentration;

[0018] If at least one key combination has at least one similar time point, then the number of secondary conformities is determined to decide whether a fire alarm signal needs to be output.

[0019] Optionally, if at least one key combination has at least one similar time point, the garden fire alarm method further includes:

[0020] A similar time point is randomly selected and defined as the representative time point. The similarity interval duration is determined by calculating the duration of the other similar time points and the representative time point.

[0021] Other similar time points whose similar interval duration is less than the preset similar interval duration are defined as similar time points, and the number of similar time points is determined by counting each similar time point.

[0022] The similar time points are sorted from largest to smallest according to the number of corresponding representative similarities to determine the order of similarity analysis;

[0023] Based on the similarity analysis sequence, secondary conformity quantity analysis is performed on each similar time point sequentially from front to back.

[0024] Optionally, the steps of sorting the similar time points from largest to smallest according to the corresponding number of representative similarities to determine the order of similarity analysis include:

[0025] Determine if there are similar time points representing similar quantities;

[0026] If there are no similar time points representing similar quantities, the similarity analysis order of the similar time points is determined according to the number of similar quantities representing similar quantities from largest to smallest.

[0027] If there are similar time points that represent a similar number of times, then the key combination of similar time points determined when using that similar time point as the representative time point and the key combination of the current representative time point are both defined as valid combinations.

[0028] The number of valid similarities is determined by counting the similar time points corresponding to each valid combination.

[0029] The mean number of similarities is determined by calculating the mean of each valid similarity count.

[0030] The order of similarity analysis is determined based on the average number of similar numbers from largest to smallest at similar time points representing similar quantities.

[0031] Optionally, after determining the number of similar values, the garden fire alarm method may also include:

[0032] Determine whether there are at least two similar time points with the same mean similarity;

[0033] If there are no at least two similar time points with the same mean similarity, then the similar time points are sorted in order of their mean similarity.

[0034] If there are at least two similar time points with the same mean similarity, the corresponding similar time points are defined as candidate time points, and the candidate time points are projected onto the current preset time period to determine the projection time point.

[0035] The duration of the time deviation is determined based on the current time point and the projected time point.

[0036] The order of similarity analysis is determined based on the time deviation duration from smallest to largest among the candidate time points with the same mean and similar number.

[0037] Optionally, when the number of secondary compliances with the largest value is less than the preset full-load compliance number, the garden fire alarm method further includes:

[0038] Secondary combinations with a concentration difference not less than the permissible concentration difference are defined as abnormal combinations, and sensors within abnormal combinations are defined as abnormal elements.

[0039] Count the anomaly combinations corresponding to a single anomaly element to determine the number of anomalies included;

[0040] Determine if there are any cases where the number of anomalies exceeds the preset error exclusion limit;

[0041] If the number of abnormal elements exceeds the number of error eliminations, the abnormal element corresponding to the number of abnormal elements is defined as a fire element, and a fire alarm signal is output based on the fire element.

[0042] If there is no case where the number of anomalies exceeds the number of errors to be excluded, then a unit interval with a preset unit duration is constructed on the timeline, starting from the current time point.

[0043] The short-time concentration difference is determined by calculating the difference in smoke concentration at the front and back ends of each abnormal element within a unit interval.

[0044] When an abnormal element is found whose short-term concentration difference is greater than a preset short-term permissible difference, the abnormal element is defined as a fire element, and a fire alarm signal is output based on the fire element.

[0045] Optionally, after the fire elements are determined, the garden fire alarm method may also include:

[0046] Construct a prequence interval with the current time point as the last endpoint and a preset fixed duration on the timeline, and a subsequent interval with the current time point as the first endpoint and a fixed duration on the second endpoint;

[0047] The theoretical change concentration of the preceding sequence is determined by calculating the detected smoke concentration at each time point in the preceding sequence interval, and the theoretical change concentration of the subsequent sequence is determined by calculating the detected smoke concentration at each time point in the following sequence interval.

[0048] The overall change concentration is determined by calculating the difference between the change concentrations in the preceding and subsequent theoretical theories.

[0049] Sensors whose overall change in concentration exceeds the preset change in concentration are defined as influencing elements, and the influencing elements are output synchronously with the fire elements.

[0050] Secondly, this application provides a garden fire alarm system, which adopts the following technical solution:

[0051] A garden fire alarm system, comprising:

[0052] The acquisition module is used to acquire the smoke concentration detected by each sensor;

[0053] The processing module, connected to the acquisition and judgment modules, is used for information storage and processing;

[0054] The judgment module, connected to the acquisition and processing modules, is used for judging information.

[0055] The processing module randomly selects any two sensors to combine to construct a device combination, and calculates the difference in smoke concentration based on the corresponding smoke concentration of the device combination to determine the smoke concentration difference.

[0056] The processing module randomly selects one equipment combination from all equipment combinations and defines it as the key combination, and defines the remaining equipment combinations as secondary combinations. The smoke concentration difference between the current key combinations is defined as the key concentration difference, and the smoke concentration difference between the current secondary combinations is defined as the secondary concentration difference.

[0057] The processing module constructs a historical interval on a preset timeline with the current time point as the end point and a width of a preset historical duration. Within the historical interval, the time point where the smoke concentration difference between the current key combinations is consistent with the current key concentration difference is defined as a similar time point, and the smoke concentration difference between the current secondary combinations at the similar time point is defined as the historical concentration difference.

[0058] The processing module calculates the difference based on the current minor concentration difference and the historical concentration difference to determine the relative concentration difference;

[0059] The processing module counts minor combinations based on the concentration difference value being less than the preset permissible concentration difference value to determine the number of minor compliances;

[0060] The processing module determines the number of secondary conforming items with the largest value according to the preset sorting rules, and outputs a fire alarm signal when the judgment module determines that the number of secondary conforming items with the largest value is less than the preset number of full-load conforming items.

[0061] In summary, this application includes at least one of the following beneficial technical effects:

[0062] When conducting fire monitoring, the differences between various sensors under normal conditions are analyzed to determine whether there are sensors with abnormal concentrations. This eliminates the need to set fixed threshold concentrations, avoids false detections and low sensitivity, and enables effective monitoring of fire conditions.

[0063] It can analyze different similar time points based on the probability of fire, thereby reducing the amount of data analysis and improving the overall monitoring and response efficiency;

[0064] When a fire alarm is triggered, the location of the fire element can be determined to facilitate subsequent firefighting and extinguishing efforts. Attached Figure Description

[0065] Figure 1 This is a flowchart of a garden fire alarm method.

[0066] Figure 2 This is a flowchart of the module for garden fire alarm methods. Detailed Implementation

[0067] To make the purpose, technical solution, and advantages of this application clearer, the following is combined with Figures 1-2 The present application will be further described in detail below with reference to embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the application.

[0068] The embodiments of this application will now be described in further detail with reference to the accompanying drawings.

[0069] This application discloses a method for alarming a garden fire, referring to... Figure 1 The procedure for establishing a fire alarm system in a garden includes the following steps:

[0070] Step S100: Obtain the smoke concentration detected by each sensor.

[0071] The detected smoke concentration is the concentration value of the external environment smoke obtained by each smoke sensor.

[0072] Step S101: Randomly select any two sensors to combine to construct a device combination, and calculate the difference in smoke concentration based on the corresponding smoke concentration of the device combination to determine the smoke concentration difference.

[0073] The device combination is the combination of two sensors. Taking three sensors A, B, and C as an example, the device combinations that can be constructed include AB, AC, and BC. The smoke concentration difference is the difference in smoke concentration detected by the two sensors in the device combination.

[0074] Step S102: Randomly select one equipment combination from all equipment combinations and define it as the key combination, and define the remaining equipment combinations as secondary combinations. Define the smoke concentration difference between the current key combinations as the key concentration difference, and define the smoke concentration difference between the current secondary combinations as the secondary concentration difference.

[0075] Define key and secondary combinations to differentiate between different equipment combinations for easier subsequent analysis; also define key and secondary concentration differences to differentiate between different smoke concentration differences for easier subsequent analysis.

[0076] Step S103: Construct a historical interval on the preset timeline with the current time point as the end point and the width as the preset historical duration. In the historical interval, define the time point where the smoke concentration difference between the current key combinations is consistent with the current key concentration difference as a similar time point, and define the smoke concentration difference between the current secondary combinations at the similar time point as the historical concentration difference.

[0077] The time axis is a coordinate axis formed by combinations of various time points. This coordinate axis points from elapsed time points to unreached time points, with elapsed time points on the left side of the coordinate axis, and the left side of the coordinate axis is defined as the front side of the time axis. The historical duration is the duration set by the staff for acquiring historical data of the garden, such as the duration since the smoke sensors were put into use. Historical intervals are constructed to facilitate the acquisition and analysis of data within the historical duration. When the smoke concentration difference of the current key combination in the historical interval is consistent with the current midpoint concentration difference, it indicates that the external environment of the two smoke sensors at this time is similar to the external environment at the historical time point. Therefore, similar time points can be defined for subsequent analysis. At this time, historical concentration difference values ​​are defined to identify the smoke concentration differences of each secondary combination at similar time points, which facilitates subsequent analysis of the actual external environmental conditions.

[0078] Step S104: Calculate the difference based on the current minor concentration difference and the historical concentration difference to determine the relative concentration difference.

[0079] The concentration difference is the difference between the current minor concentration difference and the historical concentration difference under the same minor combination.

[0080] Step S105: Count the minor combinations based on the concentration difference value being less than the preset permissible concentration difference value to determine the number of minor conformities.

[0081] The permissible concentration difference is the maximum allowable relative concentration difference when the concentration differences between two sensors are relatively close. When the relative concentration difference is less than the permissible concentration difference, it can be determined that the external environmental conditions of the two sensors are similar at two time points. Therefore, the number of secondary combinations can be obtained by counting the corresponding secondary combinations.

[0082] Step S106: Determine the number of secondary conforming items with the largest value according to the preset sorting rules, and output a fire alarm signal when the number of secondary conforming items with the largest value is less than the preset full load conforming item number.

[0083] The sorting rule is a method set by the staff to sort numerical values, such as the bubble sort method. The sorting rule determines the number of secondary compliances with the largest value, meaning the selected key combination yields the most compliant secondary combinations, thus best reflecting the actual external environment. The full-load compliance number is the minimum number of secondary compliances that must be met when the operating state of each smoke sensor is the same as when there is no fire. Generally, this full-load compliance number is the total number of determined secondary combinations. When the number of secondary compliances with the largest value is less than the full-load compliance number, it indicates that at least one smoke sensor is still abnormal after excluding daily influences such as pollen and water mist. Therefore, a fire is identified, and a fire alarm signal is output to identify this situation. Using this method for fire monitoring eliminates the need to set threshold concentrations for smoke sensors and effectively eliminates external influences such as pollen, improving the accuracy of fire detection.

[0084] Once similar time points are determined, garden fire alarm methods also include:

[0085] Step S200: Determine whether there exists at least one key combination that has at least one similar time point.

[0086] The purpose of this judgment is to determine whether there is historical data available for analysis.

[0087] Step S2001: If there is no key combination with at least one similar time point, then set the preset fixed concentration as the threshold concentration for analysis based on the current detected smoke concentration.

[0088] When there is no key combination with at least one similar time point, it means that there is no historical data available for analysis. In this case, a fixed concentration is set as a threshold concentration to monitor the fire situation. When the detected smoke concentration is greater than the threshold concentration, a fire alarm signal is issued.

[0089] Step S2002: If at least one key combination has at least one similar time point, then determine the number of secondary combinations to determine whether a fire alarm signal needs to be output.

[0090] When at least one key combination has at least one similar time point, it indicates that there is historical data available for analysis. In this case, normal data analysis can be performed to monitor the fire situation.

[0091] If at least one key combination has at least one similar time point, the garden fire alarm method also includes:

[0092] Step S300: Randomly select a similar time point as the representative time point, and calculate the similarity interval duration based on the other similar time points and the representative time point.

[0093] When similar time points exist, it is necessary to analyze the number of secondary compliances for each similar time point. However, in this application, it is only necessary to determine that there is no fire situation if the number of secondary compliances at any one location is not less than the number of full-load compliances. Therefore, how to reduce the number of similar time points to shorten the entire data analysis process is an area for improvement. A representative time point is defined to distinguish different similar time points, which facilitates subsequent analysis. The similarity interval is the interval between other similar time points and the representative time point.

[0094] Step S301: Define the remaining similar time points whose similar interval duration is less than the preset similar interval duration as similar time points, and count them according to each similar time point to determine the number of similar points.

[0095] The similarity interval duration is the maximum allowable similarity interval duration set by the staff when two time points are considered to be close together. The similar time points are defined to distinguish similar time points that are close to the current representative time point, which facilitates subsequent analysis. The representative similar number is the total number of the determined similar time points.

[0096] Step S302: Sort each similar time point from largest to smallest according to the corresponding number of similar representatives to determine the order of similarity analysis.

[0097] The more similar time points there are, the more similar time points appear near the current representative time point. In other words, the more reliable the current data is, the greater the probability that a fire will not occur. Therefore, by sorting each similar time point as a representative time point from largest to smallest, the similarity analysis order can be obtained.

[0098] Step S303: Perform secondary conformity quantity analysis on each similar time point in sequence from front to back according to the similarity analysis order.

[0099] By analyzing each similar time point sequentially using the similarity analysis sequence, priority can be given to analyzing and determining data that are likely to be in a situation other than a fire. In other words, when the situation is not a fire in reality, the amount of data analysis can be reduced, thereby improving data processing efficiency.

[0100] The steps for determining the order of similarity analysis by sorting the similar time points from largest to smallest based on the corresponding number of similar representatives include:

[0101] Step S400: Determine whether there are similar time points representing similar quantities.

[0102] The purpose of this judgment is to determine whether it is possible to sort the similar time points effectively.

[0103] Step S4001: If there are no similar time points representing similar quantities, then the similarity analysis order of similar time points is determined according to the representative similar quantities from largest to smallest.

[0104] When there are no similar time points with the same number of similar data, it means that the similar time points can be sorted in order. In this case, the order of similarity analysis can be determined based on the number of similar data.

[0105] Step S4002: If there are similar time points representing the same number of similar time points, then the key combination of similar time points determined when using the similar time point as the representative time point and the key combination of the current representative time point are both defined as valid combinations.

[0106] When there are similar time points representing similar quantities, it indicates that there are similar time points in parallel, and therefore further analysis is needed; define effective combinations to distinguish different key combinations to facilitate subsequent analysis, where the meaning of "similar time point" is that there are similar time points representing similar quantities.

[0107] Step S401: Count the similar time points corresponding to each valid combination to determine the number of valid similarities.

[0108] The effective similarity count is the total number of effective combinations determined at each time point.

[0109] Step S402: Calculate the mean value based on the number of valid similarities to determine the mean number of similarities.

[0110] The mean similarity count is the average of all valid similarity counts. The larger the value, the higher the probability of similarity in the corresponding combination, and the more reliable the data.

[0111] Step S403: Determine the order of similarity analysis based on the mean similarity number from largest to smallest among similar time points representing similar quantities.

[0112] At this point, the similar time points with a larger number of similar means are placed at the beginning of the similarity analysis order to improve the rationality of the determination of the similarity analysis order and facilitate subsequent data analysis of each similar time point according to the similarity analysis order.

[0113] After determining the number of similar values, garden fire alarm methods also include:

[0114] Step S500: Determine whether there are at least two similar time points with the same mean similarity.

[0115] The purpose of this judgment is to determine whether there are still similar time points that cannot be ordered based on the mean number of similarities.

[0116] Step S5001: If there are no at least two similar time points with the same mean similarity, then sort them in order of similarity based on the mean similarity.

[0117] If there are no at least two similar time points with the same mean similarity, it means there are no similar time points that cannot be sorted based on the mean similarity. In this case, the order can be determined normally.

[0118] Step S5002: If there are at least two similar time points with the same mean similarity, the corresponding similar time points are defined as candidate time points, and the candidate time points are projected onto the current preset time period to determine the projection time point.

[0119] When there are at least two similar time points with the same mean similarity, it indicates that there are still similar time points that cannot be ranked according to the mean similarity, so further analysis is needed. Alternative time points are defined to distinguish different similar time points for easier subsequent analysis. The current day's time period is the time period with a daily cycle of 0:00-23:59 preset by the staff. The projected time point is the time point within the current day's time period after excluding the year, month, and day from the alternative time points, retaining only the hour, minute, and second.

[0120] Step S501: Determine the duration of the time deviation based on the current time point and the projected time point.

[0121] The time deviation duration is the time interval between the current time point and the projected time point. The smaller the value, the closer the two time points are in the case of daily life. At this time, the external environment will be more similar. For example, if they are both in the early morning, the corresponding external environment fog will be more similar.

[0122] Step S502: Determine the order of similarity analysis from small to large time deviation duration among the candidate time points with the same mean similarity number.

[0123] Sort the candidate time points by time deviation from smallest to largest to improve the rationality of the determination of the similarity analysis order and facilitate subsequent data analysis.

[0124] When the number of secondary compliances with the largest value is less than the preset full-load compliance number, the garden fire alarm method also includes:

[0125] Step S600: Define minor combinations with a concentration difference not less than the permissible concentration difference as abnormal combinations, and define sensors within abnormal combinations as abnormal elements.

[0126] When the concentration difference is not less than the permissible concentration difference, it indicates that at least one sensor in the corresponding secondary combination has collected data that is different from the normal situation when no fire occurs. Therefore, abnormal combinations and abnormal elements are defined to distinguish different data for subsequent analysis.

[0127] Step S601: Count the anomaly combinations corresponding to a single anomaly element to determine the number of anomalies included.

[0128] The number of exceptions is the number of device combinations corresponding to a single exception element.

[0129] Step S602: Determine whether there is a situation where the number of anomalies exceeds the preset number of error exclusions.

[0130] The error exclusion quantity is the minimum number of anomalies that staff are required to determine when there is no misjudgment of the fire situation. The purpose of the judgment is to determine whether the fire situation can be determined without any objection.

[0131] Step S6021: If there is a situation where the number of abnormalities is greater than the number of errors to be eliminated, then the abnormal element corresponding to the number of abnormalities is defined as a fire element, and a fire alarm signal is output based on the fire element.

[0132] When the number of abnormal cases exceeds the number of error exclusions, it indicates that a fire is present. Fire elements are defined to identify and distinguish the smoke sensors that detect the fire, making it easier to determine the location of the fire based on the installation location of the fire elements. At this time, the corresponding fire alarm signal can be output.

[0133] Step S6022: If there is no case where the number of anomalies is greater than the number of errors to be eliminated, then construct a unit interval on the time axis with the current time point as the starting point and the width as the preset unit duration.

[0134] When there is no anomaly count greater than the error exclusion count, it indicates that there may be false detections, requiring further analysis. The unit duration is a fixed duration set by the staff. By constructing unit intervals, it is possible to obtain data within the unit duration after the current time point, which facilitates subsequent analysis.

[0135] Step S603: Calculate the difference in smoke concentration at the front and back ends of each abnormal element within the unit interval to determine the short-term concentration difference.

[0136] The short-term concentration difference is the difference between the detected smoke concentration of the abnormal element and the concentration at the beginning and end of the unit interval. This difference is determined by subtracting the detected smoke concentration at the beginning of the unit interval from the detected smoke concentration at the end of the unit interval.

[0137] Step S604: When there is an abnormal element whose short-term concentration difference is greater than the preset short-term permissible difference, the abnormal element is defined as a fire element, and a fire alarm signal is output according to the fire element.

[0138] The short-term permissible difference is the minimum short-term concentration difference set by the staff for the smoke sensor to detect a smoke concentration increase that meets the requirements of a fire situation within a short period of time. When the short-term concentration difference is greater than the short-term permissible difference, it indicates that a fire situation exists. At this time, the fire element can be identified and a fire alarm signal can be output. When the short-term concentration difference is not greater than the short-term permissible difference, it indicates that there is a false detection. At this time, it can be determined that there is no fire.

[0139] After the fire elements are determined, the fire alarm methods for gardens also include:

[0140] Step S700: Construct a prequel interval with the current time point as the last endpoint and a preset fixed duration on the time axis, and a postquel interval with the current time point as the first endpoint and a fixed duration.

[0141] The fixed duration is a set duration set by the staff. By constructing a preceding interval and a following interval, it is possible to acquire and analyze data at different time points.

[0142] Step S701: Calculate the theoretical change concentration of the preceding sequence based on the detected smoke concentration at each time point in the preceding interval, and calculate the theoretical change concentration of the subsequent sequence based on the detected smoke concentration at each time point in the following interval.

[0143] The theoretical change concentration of the preceding sequence is the average value of the smoke concentration change of each sensor in the preceding sequence interval. It can be determined by calculating the difference between the smoke concentrations detected at adjacent time points and then averaging the results. The theoretical change concentration of the subsequent sequence is the average value of the smoke concentration change of each sensor in the subsequent sequence interval. The determination method is the same as that of the theoretical change concentration of the preceding sequence, and will not be elaborated here.

[0144] Step S702: Calculate the difference between the preceding theoretical change concentration and the subsequent theoretical change concentration to determine the overall change concentration.

[0145] The overall change in concentration is the difference between the subsequent theoretical change in concentration and the preceding theoretical change in concentration.

[0146] Step S703: Define the sensor whose overall change concentration is greater than the preset change concentration as the influencing element, and output the influencing element synchronously with the fire element.

[0147] The influence change concentration is the minimum overall change concentration that the current smoke sensor needs to reach when it is affected by fire smoke. When the overall change concentration is greater than the influence change concentration, it indicates that the current sensor is affected by fire smoke, that is, the current sensor location may be a location where the fire is spreading. Therefore, the influence element is defined and output so that the management personnel can know the situation in time and facilitate subsequent fire fighting.

[0148] Reference Figure 2 Based on the same inventive concept, embodiments of the present invention provide a garden fire alarm system, comprising:

[0149] The acquisition module is used to acquire the smoke concentration detected by each sensor;

[0150] The processing module, connected to the acquisition and judgment modules, is used for information storage and processing;

[0151] The judgment module, connected to the acquisition and processing modules, is used for judging information.

[0152] The processing module randomly selects any two sensors to combine to construct a device combination, and calculates the difference in smoke concentration based on the corresponding smoke concentration of the device combination to determine the smoke concentration difference.

[0153] The processing module randomly selects one equipment combination from all equipment combinations and defines it as the key combination, and defines the remaining equipment combinations as secondary combinations. The smoke concentration difference between the current key combinations is defined as the key concentration difference, and the smoke concentration difference between the current secondary combinations is defined as the secondary concentration difference.

[0154] The processing module constructs a historical interval on a preset timeline with the current time point as the end point and a width of a preset historical duration. Within the historical interval, the time point where the smoke concentration difference between the current key combinations is consistent with the current key concentration difference is defined as a similar time point, and the smoke concentration difference between the current secondary combinations at the similar time point is defined as the historical concentration difference.

[0155] The processing module calculates the difference based on the current minor concentration difference and the historical concentration difference to determine the relative concentration difference;

[0156] The processing module counts minor combinations based on the concentration difference value being less than the preset permissible concentration difference value to determine the number of minor compliances;

[0157] The processing module determines the number of secondary conforming items with the largest value according to the preset sorting rules, and outputs a fire alarm signal when the judgment module determines that the number of secondary conforming items with the largest value is less than the preset number of full-load conforming items.

[0158] The similarity analysis module is used to analyze whether similar time points exist.

[0159] The time point sequence detection module is used to detect similar time points according to a defined order;

[0160] The similarity analysis order determination module is used to determine the order of similarity analysis.

[0161] The similar time point sorting module is used to sort multiple similar time points that meet the requirements in order.

[0162] The alarm status determination module is used to determine the alarm status and output a fire alarm signal;

[0163] The fire impact analysis module is used to determine the subsequent impact of a fire, which facilitates subsequent firefighting and extinguishing efforts.

[0164] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

Claims

1. A garden fire alarm method, characterized by, include: Obtain the smoke concentration detected by each sensor; Randomly select any two sensors to combine to construct a device combination, and calculate the difference in smoke concentration based on the corresponding smoke concentration detected by the device combination to determine the smoke concentration difference; One equipment combination is randomly selected from all equipment combinations and defined as the key combination, and the remaining equipment combinations are defined as secondary combinations. The difference in smoke concentration between the current key combinations is defined as the key concentration difference, and the difference in smoke concentration between the current secondary combinations is defined as the secondary concentration difference. Construct a historical interval on a preset timeline with the current time point as the endpoint and a width of a preset historical duration. In the historical interval, define the time point where the smoke concentration difference between the current key combinations is consistent with the current key concentration difference as a similar time point, and define the smoke concentration difference between the current secondary combinations at the similar time point as the historical concentration difference. The relative concentration difference is determined by calculating the difference between the current minor concentration difference and the historical concentration difference, where the relative concentration difference is the difference between the current minor concentration difference and the historical concentration difference under the same minor combination. The number of minor combinations is determined by counting the minor combinations whose relative concentration difference is less than a preset permissible concentration difference, where the permissible concentration difference is the maximum relative concentration difference that is allowed when the concentration differences between two sensors are considered to be close. The maximum secondary compliance quantity is determined according to the preset sorting rules, and a fire alarm signal is output when the maximum secondary compliance quantity is less than the preset full-load compliance quantity. The full-load compliance quantity is the minimum secondary compliance quantity that needs to be met when the working state of each smoke sensor is the same as the state when no fire occurs, as set by the staff.

2. The garden fire alarm method according to claim 1, characterized in that, Once similar time points are determined, garden fire alarm methods also include: Determine whether there exists at least one key combination that has at least one similar time point; If there is no key combination with at least one similar time point, then the preset fixed concentration is set as the threshold concentration for analysis based on the current detected smoke concentration; If at least one key combination has at least one similar time point, then the number of secondary conformities is determined to decide whether a fire alarm signal needs to be output.

3. The garden fire alarm method according to claim 2, characterized in that, If at least one key combination has at least one similar time point, the garden fire alarm method also includes: A similar time point is randomly selected and defined as the representative time point. The similarity interval duration is determined by calculating the duration of the other similar time points and the representative time point. Other similar time points whose similar interval duration is less than the preset similar interval duration are defined as similar time points, and the number of similar time points is determined by counting each similar time point. The similar time points are sorted from largest to smallest according to the number of corresponding representative similarities to determine the order of similarity analysis; Based on the similarity analysis sequence, secondary conformity quantity analysis is performed on each similar time point sequentially from front to back.

4. The garden fire alarm method according to claim 3, characterized in that, The steps for determining the order of similarity analysis by sorting the similar time points from largest to smallest based on the corresponding number of similar representatives include: Determine if there are similar time points representing similar quantities; If there are no similar time points representing similar quantities, the similarity analysis order of the similar time points is determined according to the number of similar quantities representing similar quantities from largest to smallest. If there are similar time points that represent a similar number of times, then the key combination of similar time points determined when using that similar time point as the representative time point and the key combination of the current representative time point are both defined as valid combinations. The number of valid similarities is determined by counting the similar time points corresponding to each valid combination. The mean number of similarities is determined by calculating the mean of each valid similarity count. The order of similarity analysis is determined based on the average number of similar numbers from largest to smallest at similar time points representing similar quantities.

5. The garden fire alarm method according to claim 4, characterized in that, After determining the number of similar values, garden fire alarm methods also include: Determine whether there are at least two similar time points with the same mean similarity; If there are no at least two similar time points with the same mean similarity, then the similar time points are sorted in order of their mean similarity. If there are at least two similar time points with the same mean similarity, the corresponding similar time points are defined as candidate time points, and the candidate time points are projected onto the current preset time period to determine the projection time point. The duration of the time deviation is determined based on the current time point and the projected time point. The order of similarity analysis is determined based on the time deviation duration from smallest to largest among the candidate time points with the same mean and similar number.

6. The garden fire alarm method according to claim 1, characterized in that, When the number of secondary compliances with the largest value is less than the preset full-load compliance number, the garden fire alarm method also includes: Secondary combinations with a concentration difference not less than the permissible concentration difference are defined as abnormal combinations, and sensors within abnormal combinations are defined as abnormal elements. Count the anomaly combinations corresponding to a single anomaly element to determine the number of anomalies included; Determine if there are any cases where the number of anomalies exceeds the preset error exclusion limit; If the number of abnormal elements exceeds the number of error eliminations, the abnormal element corresponding to the number of abnormal elements is defined as a fire element, and a fire alarm signal is output based on the fire element. If there is no case where the number of anomalies exceeds the number of errors to be excluded, then a unit interval with a preset unit duration is constructed on the time axis, starting from the current time point. The short-time concentration difference is determined by calculating the difference in smoke concentration at the front and back ends of each abnormal element within a unit interval. When an abnormal element is found whose short-term concentration difference is greater than a preset short-term permissible difference, the abnormal element is defined as a fire element, and a fire alarm signal is output based on the fire element.

7. The garden fire alarm method according to claim 6, characterized in that, After the fire elements are determined, the fire alarm methods for gardens also include: Construct a prequel interval with a preset fixed duration and a current time point as the end point on the timeline, and a postquel interval with a fixed duration and a current time point as the beginning point; The theoretical change concentration of the preceding sequence is determined by calculating the detected smoke concentration at each time point in the preceding sequence interval, and the theoretical change concentration of the subsequent sequence is determined by calculating the detected smoke concentration at each time point in the following sequence interval. The overall change concentration is determined by calculating the difference between the change concentrations in the preceding and subsequent theoretical theories. Sensors whose overall change in concentration exceeds the preset change in concentration are defined as influencing elements, and the influencing elements are output synchronously with the fire elements.

8. A garden fire alarm system, characterized in that, include: The acquisition module is used to acquire the smoke concentration detected by each sensor; The processing module, connected to the acquisition and judgment modules, is used for information storage and processing; The judgment module, connected to the acquisition and processing modules, is used for judging information. The processing module randomly selects any two sensors to combine to construct a device combination, and calculates the difference in smoke concentration based on the corresponding smoke concentration of the device combination to determine the smoke concentration difference. The processing module randomly selects one equipment combination from all equipment combinations and defines it as the key combination, and defines the remaining equipment combinations as secondary combinations. The smoke concentration difference between the current key combinations is defined as the key concentration difference, and the smoke concentration difference between the current secondary combinations is defined as the secondary concentration difference. The processing module constructs a historical interval on a preset timeline with the current time point as the end point and a width of a preset historical duration. Within the historical interval, the time point where the smoke concentration difference between the current key combinations is consistent with the current key concentration difference is defined as a similar time point, and the smoke concentration difference between the current secondary combinations at the similar time point is defined as the historical concentration difference. The processing module calculates the difference based on the current minor concentration difference and the historical concentration difference to determine the comparative concentration difference, where the comparative concentration difference is the difference between the current minor concentration difference and the historical concentration difference under the same minor combination. The processing module counts minor combinations based on the concentration difference value being less than the preset permissible concentration difference value to determine the number of minor combinations, where the permissible concentration difference value is the maximum allowable concentration difference value when the concentration differences between two sensors are considered to be close. The processing module determines the number of secondary compliances with the largest value according to the preset sorting rules, and outputs a fire alarm signal when the judgment module determines that the number of secondary compliances with the largest value is less than the preset full-load compliance number. The full-load compliance number is the minimum number of secondary compliances that must be met when the working state of each smoke sensor is the same as the state when no fire occurs, as set by the staff.

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