High-precision intelligent fire extinguishing method, system and storage medium based on the Internet of Things

Abstract

The present application relates to the technical field of fire extinguishing, and discloses a high-precision intelligent fire extinguishing method, system and storage medium based on the Internet of Things. The method includes: setting an information transmission path for each master control unit in the network topology structure to communicate with the aggregation unit; setting a variety of detection sensors and thermal lines in the monitoring device, when the thermal line is ignited, or when the master control unit receives a trigger message, triggering the fire extinguishing unit to start, the trigger message is generated after the detection sensor detects a fire, and the fire extinguishing unit returns its own start state to the master control unit; counting the number of hops between the master control unit and the aggregation unit based on the information transmission path, and dividing the master control unit into a long-distance node and a short-distance node based on the size of the number of hops; the master control unit generates fire information based on the trigger message, if the master control unit is a short-distance node, sending the fire information to the aggregation unit through the information transmission path; if the master control unit is a long-distance node, directly sending the fire information to the aggregation unit.

Description

Technical Field

[0001] This application relates to the field of fire alarm technology, and particularly to a high-precision intelligent fire extinguishing method, system and storage medium based on the Internet of Things. Background Art

[0002] In unattended spaces such as distribution boxes, cable wells, and machine rooms, fires caused by equipment aging, short circuits, leakage, etc. occur frequently. These fires not only cause huge property losses but also pose a serious threat to the safety of personnel. Therefore, the prevention and control of electrical equipment fires are particularly important.

[0003] The following methods have been proposed in the prior art to monitor and extinguish fires in unattended areas. For example, the Chinese patent document with the publication number CN102743830A discloses an automatic fire extinguishing system and a fire recognition method for electrical switch cabinets. This method uses a photoelectric sensor, which includes a camera lens and a photoelectric converter. The detector can intuitively reflect the situation of the monitored site through images, automatically identify and record fires in the initial stage of a fire. Another example is the Chinese patent document with the publication number CN118298573A, which discloses a fire alarm method and system applied to logistics containers. This method improves the reliability of fire discrimination by comprehensively comparing the temperature change trends corresponding to each temperature sensor. No matter where a fire occurs in the carriage, it can be detected in time, making up for the defect in the prior art that when a fire occurs inside a stacked bin due to setting a unified threshold for the temperature sensor, it cannot be known in time, thereby preventing more goods from being ignited.

[0004] The first method mentioned above requires installing cameras in each device, which will greatly increase the monitoring cost. Moreover, the space in some distribution boxes is narrow, and there may be no installation space available. The second method mentioned above only relies on one type of sensor for detection, with low redundancy, and may fail to capture the occurrence of a fire in time. Summary of the Invention

[0005] To solve the problems raised in the above background art, this application provides a high-precision intelligent fire extinguishing method, system and storage medium based on the Internet of Things.

[0006] To achieve the above invention purpose, the present invention proposes a high-precision intelligent fire extinguishing method based on the Internet of Things, including:

[0007] Constructing a network topology structure, the network topology structure includes a converging unit and multiple master control units, and setting an information transfer path for each master control unit in the network topology structure to communicate with the converging unit;

[0008] A variety of detection sensors and thermal lines are provided inside the monitoring device. When the thermal line is ignited or when the main control unit receives a trigger message, the trigger message is generated after the detection sensor detects a fire, and the fire extinguishing unit is triggered to start. The fire extinguishing unit returns its startup status to the main control unit;

[0009] Based on the information transfer path, the number of hops between the main control unit and the aggregation unit is counted, and based on the magnitude of the number of hops, the main control unit is divided into a long-distance node and a short-distance node;

[0010] The main control unit generates a fire situation message based on the trigger message. If the main control unit is the short-distance node, the fire situation message is sent to the aggregation unit through the information transfer path;

[0011] If the main control unit is the long-distance node, the fire situation message is directly sent to the aggregation unit;

[0012] The aggregation unit generates a fire notification based on the fire situation message.

[0013] Further, the detection sensors include a flame sensor and a temperature sensor. In the default state, different types of the detection sensors take turns to enter the sleep state. The detection sensors in the sleep state stop transmitting the detected environmental data. When the detection sensor detects an abnormality, the sleep state is terminated and the trigger message is generated.

[0014] Further, there are multiple flame sensors. The multiple flame sensors are evenly arranged inside the monitoring device. The detection sensor that detects a fire is defined as an alarm sensor. The main control unit collects the position information, quantity information, and the detected environmental data of the alarm sensor;

[0015] A risk index range is set inside the main control unit. Each risk index range corresponds to a fire level. A reference temperature is set. The heating rate is calculated based on the real-time temperature data and the reference temperature. The danger index is calculated based on the position information, the quantity information, and the heating rate. The fire level is determined based on the risk index range where the danger index is located, and the fire level is added to the fire situation message.

[0016] Further, the main control unit where a fire occurs is defined as a high-priority unit. The high-priority unit determines the fire extinguishing unit to be started based on the position information of the alarm sensor, and determines the number of fire extinguishing units to be started based on the fire level;

[0017] When sending the fire information, if the high-priority unit is the short-distance node, when sending the fire information along the information transfer path, the master control unit on the information transfer path stops sending the environmental data. If the high-priority unit is the long-distance node, it sends suppression information to the surrounding master control units, and the master control unit receiving the suppression information stops sending the environmental data.

[0018] Further, the steps for the aggregation unit to receive the fire information include the following:

[0019] The master control unit continuously sends alarm data in multiple rounds, with a first time interval between adjacent rounds, each round lasting for a second time period, and continuously sending the fire information multiple times within each round, with a third time interval between adjacent fire information, and the third time interval is less than the first time interval;

[0020] Set a fourth time period for the aggregation unit, calculate a fifth time period based on the fourth time period, the first time period, and the second time period. The aggregation unit detects whether there is the master control unit sending the fire information every fourth time period, and the listening time each time is the fifth time period. If the fire information is detected within the fifth time period, it is received.

[0021] Further, if the hop count of the long-distance node in the network topology is greater than the maximum limit value, define the long-distance unit as an optimization unit, and the corresponding information transfer path as an optimization path. Define the long-distance unit with the smallest hop count in the optimization path as a transfer unit, and the optimization unit directly sends the environmental data to the transfer unit.

[0022] Further, define the short-distance node with a hop count of 1 as the target node. If the number of target nodes is greater than the maximum reception number, obtain the information sending duration of the target nodes and the total number of target nodes, and determine the information sending interval between the target nodes based on the total number and the information sending duration;

[0023] Calculate a sixth time period for each target node based on the information sending duration and the total number. The target node sends information to the aggregation unit every sixth time period.

[0024] Further, the detection sensor includes a smoke sensor. The alarm conditions of the smoke sensor include a first condition, a second condition, and a third condition. When any one of the alarm conditions occurs, the smoke sensor generates the trigger information. The first condition is that the change value of the first particle size exceeds a first threshold, the second condition is that the change value of the second particle size exceeds a second threshold, and the third condition is that the change value of the ratio of the first particle size to the second particle size exceeds a third threshold.

[0025] The present invention also provides an Internet of Things-based high-precision intelligent fire extinguishing system for implementing the above-mentioned Internet of Things-based high-precision intelligent fire extinguishing method. The system includes:

[0026] A communication unit for constructing a network topology structure. The network topology structure includes an aggregation unit and a plurality of master control units. Set the information transfer path for each master control unit in the network topology structure to communicate with the aggregation unit, and count the number of hops between the master control unit and the aggregation unit based on the information transfer path. Divide the master control unit into a long-distance node and a short-distance node based on the magnitude of the number of hops;

[0027] A fire detection unit is provided with a variety of detection sensors and thermal sensitive wires. When the thermal sensitive wire is ignited, or when the master control unit receives the trigger information, the fire extinguishing unit is triggered to start. The trigger information is generated after the detection sensor detects a fire;

[0028] The master control unit generates fire condition information based on the trigger information. If the master control unit is the short-distance node, the fire condition information is sent to the aggregation unit through the information transfer path. If the master control unit is the long-distance node, the fire condition information is directly sent to the aggregation unit;

[0029] The aggregation unit generates a fire notification based on the fire condition information;

[0030] The fire extinguishing unit is used to return its own startup state to the master control unit.

[0031] The present application also provides a computer-readable storage medium. Instructions are stored on the computer-readable storage medium, and when the instructions are executed by a processor, the above-mentioned Internet of Things-based high-precision intelligent fire extinguishing method is implemented.

[0032] Beneficial effects:

[0033] The present invention sets a variety of detection sensors and thermal lines in the monitoring device. The redundant detection is achieved by the various types of detection sensors and the thermal lines, which can monitor fire hazards in real time and quickly trigger the fire extinguishing unit when a fire occurs, improving the timeliness and accuracy of fire response. The main control unit processes the fire situation information and the start information of the fire extinguishing unit and then transmits them to the aggregation unit, solving the problem that when a fire occurs, the background cannot obtain the fire situation information in time due to the failure or abnormality of the fire extinguishing unit and its failure to start normally. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 is a flowchart of the steps of the high-precision intelligent fire extinguishing method based on the Internet of Things of the present application;

[0035] Figure 2 is a schematic diagram of the principle of the network topology diagram of the present application;

[0036] Figure 3 is a schematic diagram of the workflow of the present application;

[0037] Figure 4 is a schematic diagram of the structure of the high-precision intelligent fire extinguishing system based on the Internet of Things of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0038] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0039] It can be understood that the terms "first", "second", etc. used in the present application may be used herein to describe various elements, but unless otherwise specified, these elements are not limited by these terms. These terms are only used to distinguish the first element from another element. For example, without departing from the scope of the present application, the first xx script may be called the second xx script, and similarly, the second xx script may be called the first xx script.

[0040] As Figure 1 shown, a high-precision intelligent fire extinguishing method based on the Internet of Things includes:

[0041] S1: Construct a network topology structure, the network topology structure includes an aggregation unit and multiple main control units, and set the information transfer path for each main control unit in the network topology structure to communicate with the aggregation unit.

[0042] As Figure 2The figure shows an example of a network topology structure, which includes a collection unit G and multiple main control units P1~PN. The main control units are specifically electrical cabinets distributed in various computer rooms, distribution boxes in buildings, etc. The main control units are used to collect environmental data detected by various sensors and send the environmental data to the collection unit through the information transmission path. For example, the information transmission path of the main control unit P3 is P3-P2-G. The main control unit sends information to the collection unit through the information transmission path. Compared with the parallel transmission method, the number of main control units communicating with the collection unit can be reduced, and the data receiving pressure of the collection unit can be reduced.

[0043] S2: Various detection sensors and thermistors are set in the monitoring equipment. When the thermistor is ignited or the main control unit receives trigger information, the fire extinguishing unit is triggered to start. The trigger information is generated after the detection sensor detects a fire, and the fire extinguishing unit returns its own start-up status to the main control unit.

[0044] Monitoring equipment includes electrical cabinets, distribution boxes, etc. For example, electrical cabinets are equipped with detection sensors and thermistor wires. The detection sensors include flame sensors and temperature sensors. The flame sensor converts the intensity of the surrounding infrared light into an electrical signal, which is converted into an electrical signal through AC / DC analog-to-digital conversion to accurately identify whether there is a fire source or flame around. Figure 3 As shown, when the flame sensor detects a flame, or the temperature sensor detects an abnormal temperature rise, an alarm signal will be sent to the main control unit. After receiving the alarm signal, the main control unit sends fire information to the collection unit and generates an audible and visual alarm. When the fire or abnormal temperature is eliminated, the alarm function is automatically released. In addition, the thermistor is connected to the fire extinguishing unit. When the internal temperature exceeds 180°C, the thermistor will be ignited, which will trigger the fire extinguishing agent to immediately start the fire extinguishing function. After the fire extinguishing unit is started, it will send a start signal to the main control unit. After receiving the signal, the main control unit immediately sends the fire information to the collection unit.

[0045] In other embodiments, the temperature sensor can also be replaced with a smoke sensor, or a smoke sensor can be added on the basis of the flame sensor and the temperature sensor. The alarm conditions of the smoke sensor include a first condition, a second condition and a third condition. When any alarm condition occurs, the smoke sensor generates trigger information. The first condition is that the change value of the first granularity exceeds the first threshold, the second condition is that the change value of the second granularity exceeds the second threshold, and the third condition is that the ratio of the first granularity to the second granularity changes by a multiple that exceeds the third threshold.

[0046] Specifically, the concentration of particles with a first particle size greater than 0.5 μm per cubic meter, and the concentration of particles with a second particle size greater than 2.5 μm per cubic meter. The first threshold, the second threshold, and the third threshold are set to 500, 100, and 2 respectively. The concentration of the first particle size detected at a past time was 200, and the current concentration of the first particle size is 600. The difference between the two exceeds the first threshold by 400, satisfying the first condition. The concentration of the second particle size detected at a past time was 50, and the current concentration of the second particle size is 170. The difference between the two exceeds the second threshold by 120, satisfying the second condition. The ratio of the concentrations of the first particle size and the second particle size detected at a past time was 90, and the current ratio of the concentrations of the first particle size and the second particle size is 270. The change multiple is 3, exceeding the third threshold and satisfying the third condition. By setting multiple alarm conditions, the detection accuracy of the smoke sensor can be improved.

[0047] S3: Based on the information transfer path, count the number of hops between the master control unit and the aggregation unit, and divide the master control unit into a long-distance node and a short-distance node based on the size of the number of hops.

[0048] Specifically, the number of hops is how many times the information sent by the master control unit needs to be relayed to reach the aggregation unit. For example, when the master control unit P3 sends information, it first sends the information to P2, and then P2 relays it to G. It needs to go through two hops to reach the aggregation unit, and the number of hops is 2. Here, a division threshold is set, and the division threshold is 3. The master control units with a number of hops less than 3 are divided into short-distance nodes, and the master control units with a number of hops greater than or equal to 3 are divided into long-distance nodes.

[0049] S4: The master control unit generates a fire situation information based on the trigger information. If the master control unit is a short-distance node, it sends the fire situation information to the aggregation unit through the information transfer path.

[0050] S5: If the master control unit is a long-distance node, it directly sends the fire situation information to the aggregation unit.

[0051] S6: The aggregation unit generates a fire notification based on the fire situation information.

[0052] The fire information includes the location where the fire occurs, the occurrence time, and whether the fire extinguishing unit is normally activated. If the master control unit is a short-distance node, it indicates that the fire information can be sent to the aggregation unit after passing through fewer hops, that is, the transmission time of the information is shorter. If the master control unit is a long-distance node, the fire information is directly sent to the aggregation unit through a point-to-point transmission method to ensure the transmission speed of the information. The advantage of adopting the above method is that since the short-distance node is close to the aggregation unit, the sent information can all reach within a short time. The long-distance node sends information through the information transfer path in the normal state, which can reduce the power consumption. When a fire occurs, the fire information is directly sent through the point-to-point transmission method. For example, 4G communication, although it is sent at a relatively high power, ensures the transmission efficiency of the information. The battery life of the master control unit is extended through the above steps.

[0053] In the present invention, a variety of detection sensors and thermal lines are arranged in the monitoring device. The redundancy detection is achieved between the various types of detection sensors and the thermal lines, which can monitor fire hazards in real time and quickly trigger the fire extinguishing unit when a fire occurs, improving the timeliness and accuracy of fire response. The master control unit processes the fire information and the activation information of the fire extinguishing unit and then transmits them to the aggregation unit. It solves the problem that when a fire occurs, the background cannot timely obtain the fire information due to the failure or abnormality of the fire extinguishing unit and its failure to be normally activated.

[0054] In the present invention, by constructing a network topology structure and setting an information transfer path, the probability of multiple data arriving at the aggregation unit simultaneously is reduced, thereby reducing the data reception pressure of the aggregation unit and improving the information transmission efficiency. Secondly, the present invention also divides the master control unit into short-distance nodes and long-distance nodes according to the number of hops between the master control unit and the aggregation unit, and respectively sets reasonable sending modes, so that while reducing power consumption, in case of a fire emergency, the fire information can still be quickly conveyed to the aggregation unit, providing timely and accurate information support for fire extinguishing operations.

[0055] In this embodiment, the detection sensors include a flame sensor and a temperature sensor. In the default state, different types of detection sensors take turns to enter the sleep state. The detection sensors in the sleep state stop transmitting the detected environmental data. When a detection sensor detects an abnormality, it terminates the sleep state and generates a trigger information.

[0056] For example, a flame sensor and a temperature sensor take turns entering the sleep state at one-hour intervals. In the sleep state, the flame sensor and the temperature sensor still detect environmental data, but do not send data to the main control unit, thus reducing power consumption. The non-sleeping sensor still sends environmental data to the main control unit. After receiving the environmental data, the main control unit then sends it to the aggregation unit, so that users can also know the environmental data of the monitoring device remotely. When the sensor detects a fire, it stops the sleep state and generates a trigger message to send to the main control unit.

[0057] In this embodiment, there are multiple flame sensors, and the multiple flame sensors are evenly arranged in the monitoring device. The detection sensor that detects a fire is defined as an alarm sensor, and the main control unit collects the position information, quantity information, and detected environmental data of the alarm sensor.

[0058] A risk index range is set in the main control unit. Each risk index range corresponds to a fire level. A reference temperature is set. The heating rate is calculated based on the real-time temperature data and the reference temperature. The danger index is calculated based on the position information, quantity information, and heating rate. The fire level is determined based on the risk index range where the danger index is located, and the fire level is added to the fire situation information.

[0059] This embodiment includes 4 flame sensors. If the monitoring device is a small distribution box, the flame sensors are arranged at the four corners of the distribution box. If it is a larger power cabinet, they are arranged at equal intervals from top to bottom inside the power cabinet. After the arrangement is completed, the position information where each flame sensor is located is set, such as flame sensor A is on the first layer of power cabinet 1. If only the temperature sensor is set, the environmental data sent by the main control unit includes temperature data. If a smoke sensor is also set, the environmental data also includes particle size data. The fire situation information in this embodiment is, for example: flame sensors A and B alarm, location: the first layer and the second layer of power cabinet 1, the number of alarm sensors is 2, and the current temperature is 120 degrees.

[0060] First, two risk index ranges are set. Risk index range 1 is less than 4, and risk index range 2 is greater than or equal to 4, corresponding to a low fire level and a high fire level respectively. The reference temperature is set to 25 °C, and a danger reference score is also set for each flame sensor. For example, the danger reference score of flame sensor A is 0.5, and the danger reference score of flame sensor B is 1. The specific values can be set according to the actual situation.

[0061] The following first formula is used to calculate the danger index. First formula: , where, is the danger index, is the number of flame sensors that have an alarm, is the th danger reference score of the flame sensor, For the position combination score, in this embodiment, when only one flame sensor alarms, Y is 1; when two flame sensors alarm and their positions are adjacent, Y is 1.2; when two flame sensors alarm and their positions are not adjacent, Y is 1.5; when three flame sensors alarm, Y is 1.7; when four flame sensors alarm, Y is 2. is the heating rate, with the unit of second / °C. and are respectively the preset first weight and second weight.

[0062] In the first formula, by setting a danger reference score for each flame sensor, when different flame sensors alarm, the severity of the fire can be measured according to the specific alarmed flame sensor and its position. By introducing temperature data, the higher the heating rate, the larger the calculated danger index.

[0063] In this embodiment, the main control unit where a fire occurs is defined as a high-priority unit. The high-priority unit determines the fire extinguishing units to be activated based on the position information of the alarm sensors and determines the number of fire extinguishing units to be activated based on the fire level.

[0064] When sending fire information, if the high-priority unit is a short-distance node, when sending fire information along the information transmission path, the main control units on the information transmission path stop sending environmental data. If the high-priority unit is a long-distance node, it sends suppression information to the surrounding main control units, and the main control units receiving the suppression information stop sending environmental data.

[0065] When a fire occurs in the power cabinet 1, the main control unit A inside it is defined as a high-priority unit. The high-priority unit collects the positions of the alarm sensors. If the positions of the alarm sensors are on the 1st and 2nd floors of the power cabinet, the fire extinguishing units on the 1st and 2nd floors are activated. If it is a low fire level, one fire extinguishing unit is activated. If it is a high fire level, two fire extinguishing units are activated.

[0066] When the high-priority unit sends fire information to the aggregation unit, if the high-priority unit is a short-distance node, such as Figure 2 the main control unit P21 in, and the main control unit P2 is included in its information transmission path, then when the main control unit P2 receives the fire information sent by the main control unit P21, it stops sending the environmental data detected by its own sensors to the aggregation unit and only transmits the fire information sent by the main control unit P21, thereby reducing the data transmission volume and accelerating the data transmission speed. If the high-priority unit is a long-distance node, such as the main control unit P4, it sends suppression information to the surrounding main control units (P3, P41, etc.). After receiving the suppression information, the main control units P3 and P41 stop sending the environmental data detected by their own sensors to the aggregation unit, thereby reducing the data transmission volume. It should be specifically noted that the suppression information does not suppress other main control units from sending fire information.

[0067] In this embodiment, the steps for the aggregation unit to receive fire information are as follows:

[0068] The main control unit continuously sends alarm data in multiple rounds, with a first time interval between adjacent rounds, each round lasting for a second time interval, and continuously sending fire information multiple times within each round, with a third time interval between adjacent fire information, and the third time interval is less than the first time interval.

[0069] The first time interval is set to 8 s, the second time interval is set to 10 s, and the third time interval is set to 2 s. When the main control unit needs to send fire information, it sends alarm information in 3 rounds at an interval of 8 s, and the sending duration of each alarm information is 10 s, including 3 identical fire information, with a 2-s interval between adjacent fire information. In case of a fire, the main control unit continuously sends the same fire information multiple times to ensure that the aggregation unit can receive it quickly and completely.

[0070] Set the fourth time interval of the aggregation unit, calculate the fifth time interval based on the fourth time interval, the first time interval, and the second time interval. The aggregation unit detects whether there is fire information sent by the main control unit every fourth time interval, and the listening time each time is the fifth time interval. If fire information is detected within the fifth time interval, it is received.

[0071] To avoid missing the reception of fire information, the aggregation unit determines the detection interval of information based on the following method. First, the fifth listening time interval should be greater than the third time interval to ensure that complete fire information can be received, and it also needs to be greater than the first time interval, that is, greater than 8 s, to avoid the listening time period just falling within the sending interval. When setting the fourth time interval, in order to minimize the power consumption of the aggregation unit as much as possible, an upper limit of the fifth time interval also needs to be set, which is specifically determined by the following second formula: , where is the upper limit of the fifth time interval, is the second time interval, is the fourth time interval, is the first time interval. The determined upper limit of the fifth time interval ensures that there must be a complete round within the fifth time interval during listening. When the fourth time interval is 1 s, the upper limit of the fifth time interval is 13.5 s. In summary, the fifth time interval should be selected between 8 - 13.5 s. For example, when selecting 10 s, the aggregation unit listens every 1 s, and the listening duration each time is 10 s.

[0072] If the hop count of a long-distance node in the network topology is greater than the maximum limit value, the long-distance unit is defined as an optimization unit, and the corresponding information transfer path is defined as an optimization path. The long-distance unit with the smallest hop count in the optimization path is defined as a transfer unit, and the optimization unit directly sends environmental data to the transfer unit.

[0073] The maximum limit value is set to 10. When the hop count of a long - distance node exceeds 10, its communication time with the aggregation unit will be relatively long, which will cause a large delay between the environmental data collected by the aggregation unit and the actual situation. To solve this problem, the present invention proposes the following method. First, it is determined whether there is a long - distance unit in the network topology with a hop count greater than 10. If so, the long - distance units with a hop count greater than 10 are all defined as optimization units, and the information transfer path corresponding to the optimization unit is defined as the optimization path.

[0074] Suppose the master control units P11 and P12 are long - distance nodes, and their hop counts are 11 and 12 respectively, which are greater than 10. They are defined as optimization units. The master control units P11 and P12 both transmit environmental data through an information transfer path, which is defined as the optimization path. In this optimization path, the long - distance node with the smallest hop count is the master control unit P4. The master control unit P4 is used as the transfer unit. When the master control units P11 and P12 send environmental data, they directly send the environmental data to the master control unit P4 instead of sending it along the original information transfer path. Then, the master control unit P4 sends it to the master control unit P3, thus accelerating the data sending speed of the master control units P11 and P12.

[0075] In this embodiment, the short - distance node with a hop count of 1 is defined as the target node. If the number of target nodes is greater than the maximum reception number, the information sending duration of the target nodes and the total number of target nodes are obtained, and the information sending interval between the target nodes is determined based on the total number and the information sending duration.

[0076] The sixth duration of each target node is calculated based on the information sending duration and the total number. The target node sends information to the aggregation unit every sixth duration.

[0077] For example, the maximum reception number of the aggregation unit is 10, indicating that the aggregation unit can receive data sent by up to 10 master control units at the same time. If the number of target nodes is 12, which is greater than 10, the sending order of the 12 target nodes needs to be sorted to avoid exceeding the maximum reception capacity of the aggregation unit. The information sending duration is the time required from the start to the end when a target node sends data to the aggregation unit once. When calculating, first, the sending interval between adjacent target nodes in order needs to be determined. In this embodiment, the third formula is used to calculate the information sending interval. The third formula is: , where is the information sending interval, is the total number, is the information sending duration. For example, if the information sending duration is uniformly 3.3 s, the calculated information sending interval is 0.3 s.

[0078] After that, the data transmission interval of each target node itself can be further derived and calculated through the fourth formula, and the fourth formula is: In this embodiment, the sixth time period is 12 * 0.3 - 2.7 = 0.6s, that is, the information transmission duration of the first target node is 2.7s. After it ends, there is an interval of 0.6s, and then it sends data to the aggregation unit again.

[0079] Such as Figure 4 As shown, the present invention also provides an Internet of Things-based high-precision intelligent fire extinguishing system for implementing the above-mentioned Internet of Things-based high-precision intelligent fire extinguishing method. The system includes:

[0080] A communication unit for constructing a network topology. The network topology includes an aggregation unit and multiple master control units. Set the information transfer path for each master control unit in the network topology to communicate with the aggregation unit, count the number of hops between the master control unit and the aggregation unit based on the information transfer path, and divide the master control units into long-distance nodes and short-distance nodes based on the size of the number of hops;

[0081] A fire detection unit is provided with a variety of detection sensors and thermal sensitive wires. When the thermal sensitive wire is ignited, or when the master control unit receives a trigger message, the fire extinguishing unit is triggered to start. The trigger message is generated after the detection sensor detects a fire;

[0082] The master control unit generates fire information based on the trigger message. If the master control unit is a short-distance node, the fire information is sent to the aggregation unit through the information transfer path. If the master control unit is a long-distance node, the fire information is directly sent to the aggregation unit;

[0083] The aggregation unit generates a fire notification based on the fire information;

[0084] The fire extinguishing unit is used to return its own startup status to the master control unit.

[0085] The present application also provides a computer-readable storage medium with instructions stored thereon. When the instructions are executed by a processor, the above-mentioned Internet of Things-based high-precision intelligent fire extinguishing method is implemented.

[0086] It should be understood that the above technical features of the embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as these technical feature combinations do not conflict, they should all be considered to be within the scope described in this specification.

[0087] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, and improvements made within the spirit and principles of the present invention should all be included within the protection scope of the present invention.

Claims

1. A high-precision intelligent fire extinguishing method based on the Internet of Things, characterized in that: Constructing a network topology structure, the network topology structure comprising a collection unit and a plurality of main control units, and setting an information transmission path for each of the main control units in the network topology structure to communicate with the collection unit; A plurality of detection sensors and heat-sensitive wires are arranged in the monitoring device. When the heat-sensitive wires are ignited, or when the main control unit receives trigger information, the fire extinguishing unit is triggered to start. The trigger information is generated after the detection sensor detects a fire, and the fire extinguishing unit returns its own start-up state to the main control unit; Counting the number of hops between the main control unit and the aggregation unit based on the information transmission path, and dividing the main control unit into long-distance nodes and short-distance nodes based on the number of hops; The main control unit generates fire information based on the trigger information, and if the main control unit is the short-distance node, sends the fire information to the collection unit through the information transmission path; If the main control unit is the remote node, the fire information is directly sent to the collection unit; The collection unit generates a fire notification based on the fire information; The detection sensors include flame sensors and temperature sensors. In a default state, different types of detection sensors enter a dormant state in turn. The detection sensors in the dormant state stop transmitting detected environmental data. When the detection sensors detect an abnormality, the dormant state is terminated and the trigger information is generated. The flame sensor comprises a plurality of flame sensors, and the plurality of flame sensors are evenly arranged in the monitoring device. The detection sensor that detects a fire is defined as an alarm sensor, and the main control unit collects location information, quantity information and the detected environmental data of the alarm sensor; The main control unit is provided with a risk index interval, each of which corresponds to a fire level, and a reference temperature is set. The heating rate is calculated based on the real-time temperature data and the reference temperature, and the danger index is calculated based on the position information, the quantity information and the heating rate. The position information includes a position combination score. Among the multiple flame sensors, when only one flame sensor alarms, the position combination score is 1, when two flame sensors alarm and the positions are adjacent, the position combination score is 1.2, when two flame sensors alarm and the positions are not adjacent, the position combination score is 1.5, when three flame sensors alarm, the position combination score is 1.7, and when four flame sensors alarm, the position combination score is 2. The fire level is determined based on the risk index interval where the danger index is located, and the fire level is added to the fire information; If the network topology structure has a long-distance node whose hop number is greater than the maximum limit value, the long-distance node is defined as an optimization unit, and its corresponding information transmission path is defined as an optimization path. The long-distance node with the smallest hop number in the optimization path is defined as a transit unit, and the optimization unit directly transmits the environmental data to the transit unit.

2. The method according to claim 1, characterized in that The main control unit where the fire occurs is defined as a high priority unit, and the high priority unit determines the fire extinguishing unit that needs to be activated based on the position information of the alarm sensor, and determines the number of the fire extinguishing units that need to be activated based on the fire level; When sending the fire information, if the high priority unit is the short-distance node, when sending the fire information along the information transmission path, the main control unit on the information transmission path stops sending the environmental data; if the high priority unit is the long-distance node, suppression information is sent to the surrounding main control units, and the main control unit that receives the suppression information stops sending the environmental data.

3. The method according to claim 1, characterized in that The collection unit receiving the fire information comprises the following steps: The main control unit continuously sends multiple rounds of alarm data, with a first time interval between adjacent rounds, each round lasting a second time interval, and the fire information is continuously sent multiple times in each round, with a third time interval between adjacent fire information, and the third time interval is less than the first time interval; The fourth time duration of the collection unit is set, and the fifth time duration is calculated based on the fourth time duration, the first time duration and the second time duration. The collection unit detects whether the main control unit sends the fire information at intervals of the fourth time duration, and the monitoring time each time is the fifth time duration. If the fire information is detected within the fifth time duration, it is received.

4. The method according to claim 1, characterized in that: Define the close-distance node with a hop count of 1 as a target node, and if the number of the target nodes is greater than the maximum receiving number, obtain the information sending duration of the target node and the total number of the target nodes, and determine the information sending interval between the target nodes based on the total number and the information sending duration; A sixth duration of each of the target nodes is calculated based on the information sending duration and the total number, and the target node sends information to the aggregation unit at intervals of the sixth duration.

5. The method according to claim 1, characterized in that The detection sensor includes a smoke sensor, and the alarm conditions of the smoke sensor include a first condition, a second condition and a third condition. When any one of the alarm conditions occurs, the smoke sensor generates the trigger information. The first condition is that the change value of the first granularity exceeds a first threshold, the second condition is that the change value of the second granularity exceeds a second threshold, and the third condition is that the change value of the ratio of the first granularity to the second granularity exceeds a third threshold.

6. A high-precision intelligent fire extinguishing system based on the Internet of Things, used to implement a high-precision intelligent fire extinguishing method based on the Internet of Things as described in any one of claims 1 to 5, characterized in that: A communication unit, used to construct a network topology structure, the network topology structure includes a collection unit and a plurality of master control units, set an information transmission path for each of the master control units in the network topology structure to communicate with the collection unit, count the number of hops between the master control unit and the collection unit based on the information transmission path, and divide the master control units into long-distance nodes and short-distance nodes based on the number of hops; A fire detection unit is provided with a plurality of detection sensors and heat-sensitive wires. When the heat-sensitive wires are ignited, or when the main control unit receives trigger information, the fire extinguishing unit is triggered to start. The trigger information is generated after the detection sensor detects a fire; The main control unit generates fire information based on the trigger information, and if the main control unit is the short-distance node, sends the fire information to the collection unit through the information transmission path; if the main control unit is the long-distance node, sends the fire information directly to the collection unit; A collection unit generates a fire notification based on the fire information; A fire extinguishing unit, wherein the fire extinguishing unit is used to return its own startup status to the main control unit.

7. A computer-readable storage medium having instructions stored thereon, characterized in that: When the instructions are executed by the processor, a high-precision intelligent fire extinguishing method based on the Internet of Things is implemented as described in any one of claims 1-5.

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