Intelligent fire-fighting platform based on Internet of Things and control method

Abstract

The invention relates to the technical field of fire-fighting platforms, in particular to an intelligent fire-fighting platform based on the Internet of Things and a control method, and the control method comprises the steps: determining a fire easy-to-occur region of a to-be-monitored building based on a historical fire occurrence region of the to-be-monitored building and a fire occurrence source gathering region; based on the risk factor feature type of the fire easy-to-occur area, determining the type of the fire easy-to-occur area; and determining a fire occurrence time period type based on the fire occurrence region type, wherein the judgment method comprises the following steps: determining a fire occurrence time period according to a comparison result of the operation power of the power equipment and the preset operation power and a comparison result of the inflammable exposure degree and the preset exposure degree; according to the fire occurrence time period type, determining a monitoring method for a fire easy-to-occur area; and determining whether to adjust the judgment parameters of the fire monitoring method based on the early warning efficiency of the fire.

Description

Technical Field

[0001] The present invention relates to the technical field of fire fighting platforms, and in particular to a smart fire fighting platform and a control method based on the Internet of Things. Background Art

[0002] Traditional fire protection platforms usually use fixed monitoring angles and cameras with low intelligence levels to monitor buildings. It is difficult to flexibly adjust according to actual conditions. In addition, manual review of surveillance videos is inefficient and it is difficult to detect signs of fire in the first place. Traditional fire protection systems usually use unified alarm thresholds and monitoring strategies throughout the building. However, the fire risk factors in different areas vary greatly. For example, the kitchen area mainly faces the risk of open flames and flammable materials, while the electrical room is mainly at risk of fire caused by electrical failures. Unified standards may lead to untimely fire warnings in some high-risk areas, and may generate too many false alarms in low-risk areas.

[0003] Chinese patent application publication number: CN118780536A discloses a dispatching and control platform based on the fire Internet of Things, which relates to the field of dispatching and control technology. The platform includes: a monitoring component acquisition module, which is used to acquire multiple Internet of Things fire monitoring components; an abnormal identification model construction module, which is used to construct multiple regional fire abnormality identification models; a fire abnormality discrimination module, which is used to perform fire abnormality discrimination on multiple fire monitoring data sets; a normal abnormality control module, which is used to generate a normal fire dispatch request through an abnormal area and send it to a fire dispatch control center for fire dispatch control response in the abnormal area; an additional abnormality control module, which is used to transmit additional abnormal fire monitoring data sets to the fire dispatch control center, perform fire resource dispatch analysis, and perform fire dispatch control on abnormal areas. Through this application, the technical problems in the prior art caused by uneven distribution of fire dispatch resources and low response efficiency can be solved, and the technical effect of evenly distributing resources and improving response efficiency can be achieved.

[0004] It can be seen that the existing technology has the problem of being unable to conduct targeted analysis of the monitoring area, resulting in an inability to select different monitoring methods according to the characteristics of different monitoring areas, resulting in low fire warning efficiency. Summary of the invention

[0005] To this end, the present invention provides an intelligent fire protection platform and control method based on the Internet of Things to overcome the problem in the prior art that the monitoring area cannot be analyzed in a targeted manner, resulting in the inability to select different monitoring methods according to the characteristics of different monitoring areas, resulting in low fire warning efficiency.

[0006] To achieve the above object, the present invention provides a control method for a smart fire fighting platform based on the Internet of Things, comprising: Acquire data of the building to be monitored, and determine the fire-prone area of ​​the building to be monitored based on the historical fire occurrence area of ​​the building to be monitored and the fire source concentration area, wherein the fire source concentration area is determined according to the comparison result between the number of fire sources in the monitoring area and the preset number of fire sources; Determining a fire prone area type based on a risk factor characteristic type of a fire prone area, wherein the risk factor characteristic type is determined according to a balance degree of risk factors and a type of a maximum number of risk factors, and the fire prone area type includes an electric fire area type, an open fire area type, and a mixed fire source area type; A method for determining the type of time period in which a fire is likely to occur based on the type of the fire prone area, the method comprising determining the type of time period in which a fire is likely to occur based on a comparison result of the operating power of the electric equipment with a preset operating power and a comparison result of the exposure degree of the flammable material with a preset exposure degree; Determine a monitoring method for fire-prone areas according to the type of fire occurrence time period, the monitoring method including using different camera rotation frequencies and different early warning standard lines for each sensor; Based on the comparison result of the fire warning efficiency and the preset warning efficiency, it is determined whether to adjust the judgment parameters of the fire monitoring method, wherein the judgment parameters of the fire monitoring method include the preset number of fire sources, the preset operating power and the preset exposure degree.

[0007] Furthermore, determining the fire prone area of ​​the building to be monitored includes: If the building area to be monitored is an area with a history of fire occurrence or an area with concentrated fire sources, the building area to be monitored is determined to be an area prone to fire occurrence.

[0008] Furthermore, determining the fire source concentration area includes: If the number of fire sources in the monitoring area is greater than a preset number of fire sources, the monitoring area is determined to be a fire source concentration area.

[0009] Furthermore, determining the type of fire prone area includes: If the risk factor characteristic type of the fire prone area is an electric power equipment type, determining the fire prone area type as an electric fire area type; If the risk factor characteristic type of the fire prone area is a flammable material type, determining the fire prone area type as an open flame area type; If the risk factor characteristic type of the fire-prone area is a mixed type, the fire-prone area type is determined to be a mixed fire source area type.

[0010] Further, determining the risk factor characteristic type includes: If the balance degree of the risk factor is greater than the preset balance degree and the type with the largest number of risk factors is power equipment, determining that the risk factor characteristic type is a power equipment type; If the balance degree of the risk factor is greater than the preset balance degree and the type with the largest number of risk factors is flammable, determining the risk factor characteristic type to be a flammable type; If the balance degree of the risk factor is less than or equal to the preset balance degree, it is determined that the characteristic type of the risk factor is a mixed type.

[0011] Furthermore, the method for determining the type of fire occurrence time period includes: If the fire prone area is an electrical fire area, determine the fire occurrence time period based on the operating power of the power equipment; If the fire prone area type is an open fire area type, determine the fire occurrence time period type based on the exposure degree of the flammable materials; If the fire-prone area type is a mixed fire source area type, the fire occurrence time period type is determined based on the operating power of the electrical equipment and the degree of exposure of flammable materials.

[0012] Further, the determining of the type of fire occurrence time period includes: If the operating power of the electric equipment is greater than the preset operating power or the exposure degree of the inflammable material is greater than the preset exposure degree, the fire occurrence time period type is determined to be a fire prone time period; If the operating power of the electric equipment is less than or equal to the preset operating power or the exposure degree of the inflammable material is less than or equal to the preset exposure degree, the type of the fire occurrence time period is determined to be a time period in which fire is not likely to occur.

[0013] Furthermore, the method for determining the monitoring of the fire prone area includes: If the fire occurrence time period type is a fire prone time period, determine to monitor the fire prone area with the first camera rotation frequency and the first warning standard line; If the fire occurrence time period type is a fire-prone time period, determine to monitor the fire-prone area with the second camera rotation frequency and the second warning standard line; Among them, the rotation frequency of the first camera is greater than the rotation frequency of the second camera, and the first warning standard line is less than the second warning standard line.

[0014] Further, the determining whether to adjust the judgment parameters of the fire monitoring method includes: If the early warning efficiency of the fire is less than the preset early warning efficiency, it is determined to adjust the judgment parameters of the fire monitoring method.

[0015] A smart fire fighting platform applied to the control method of the smart fire fighting platform based on the Internet of Things, comprising: A monitoring module, which includes a sensor unit for monitoring various fire-related data of the building to be monitored and a camera unit for monitoring real-time images of various areas of the building to be monitored; a data processing module connected to the monitoring module, comprising a data acquisition unit for acquiring data of the building to be monitored, a data analysis unit for determining fire-prone areas and their types and fire-prone time periods and their types based on the data of the building to be monitored, and a monitoring unit for determining a monitoring method for fire-prone areas based on the types of fire-prone time periods; The adjustment module is connected to the data processing module and is used to determine whether to adjust the judgment parameters of the fire monitoring method according to the comparison result between the fire early warning efficiency and the preset early warning efficiency.

[0016] Compared with the prior art, the beneficial effect of the present invention lies in that the present invention determines the fire-prone area of ​​the building to be monitored through the historical fire occurrence areas and fire source concentration areas of the building to be monitored, taking into account that areas where fires have occurred often have some potential risk factors that have not been completely resolved or have certain special environmental conditions that easily lead to fires occurring again, and by comparing the number of fire sources in the monitoring area with the preset number of fire sources, the fire source concentration area can be accurately determined. By determining the fire-prone area through the above method, targeted analysis of the area to be monitored can be achieved.

[0017] Furthermore, the present invention can accurately determine the fire type tendency in a fire-prone area by conducting detailed analysis and classification of risk factors in the area, and introduce the concept of balance of risk factors, so as to more objectively evaluate the relative importance of different risk factors in a region. When the balance of risk factors is greater than the preset balance and the type with the largest number of risk factors is power equipment, it is determined to be the power equipment type, which means that the electric fire risk in the area is relatively high. On the contrary, if the type with the largest number of risk factors is flammable materials, it is determined to be the flammable material type. When the balance of risk factors is less than or equal to the preset balance, it is determined to be a mixed type, indicating that the risks of electric fire and open flames in the area are relatively balanced, and it is necessary to comprehensively consider the two risk factors for fire protection planning. The above method is used to achieve targeted analysis of the monitoring area and then select different monitoring methods according to the characteristics of different monitoring areas to improve the efficiency of fire warning.

[0018] Furthermore, the present invention determines the method of judging the type of time period in which a fire occurs according to the type of area prone to fire, so that the assessment of fire risk is more accurate. For the type of electric fire area, it is based on the operating power of the power equipment, for the type of open flame area, it is based on the degree of exposure of the flammable material, and for the type of mixed fire source area, both are considered comprehensively. In this way, high-risk time periods can be accurately found according to the characteristics of different types of areas, and the time periods in which fires are prone to occur can be accurately determined, so that the fire department and relevant personnel can prepare in advance and formulate emergency plans. During these time periods, once an abnormal situation occurs, a quick response can be made to improve the efficiency of fire extinguishing and rescue. The above method realizes targeted analysis of the monitoring area and then selects different monitoring methods according to the characteristics of different monitoring areas to improve the efficiency of fire warning.

[0019] Furthermore, the present invention adopts different monitoring methods according to the type of time period when the fire occurs, and can focus on monitoring high-risk time periods more accurately. In the time period when fire is prone to occur, increasing the camera rotation frequency and lowering the warning standard line can observe the situation in the fire-prone area more frequently and discover potential fire hazards in time. In the time period when fire is not easy to occur, using a relatively low monitoring intensity can not only save resources, but also avoid frequent false alarms and reduce unnecessary interference. At the same time, it can also respond in time when abnormal situations occur. The time-divided monitoring method and clear warning mechanism enable a rapid response when a fire occurs. Once the real-time monitoring data of the sensor exceeds the warning standard line, an alarm is immediately issued to notify relevant personnel to take emergency measures. The present invention realizes targeted analysis of the monitoring area through the above method and then selects different monitoring methods according to the characteristics of different monitoring areas to improve the efficiency of fire warning.

[0020] Furthermore, the present invention can timely judge the effectiveness of the current fire monitoring method by comparing the early warning efficiency of the fire with the preset early warning efficiency. When the early warning efficiency is less than the preset early warning efficiency, it indicates that the current monitoring method may be insufficient and needs to be adjusted. This dynamic adjustment mechanism can ensure that the fire monitoring system always maintains a high efficiency level, and the definition of effective alarm includes the actual occurrence of fire and the potential risk of fire. This makes the fire monitoring system more comprehensive and sensitive, not only can it issue an alarm in time when a fire occurs, but also can issue an early warning when potential risks occur, so as to buy time for taking preventive measures. This consideration of potential risks can greatly improve the accuracy and reliability of fire warnings, reduce the possibility and loss of fires, and achieve targeted analysis of the monitoring area through the above method, and then select different monitoring methods according to the characteristics of different monitoring areas to improve the efficiency of fire warning. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1This is a workflow diagram of a control method of a smart fire protection platform based on the Internet of Things according to an embodiment of the present invention; Figure 2 A flowchart for determining whether to adjust the judgment parameters of a fire monitoring method in a control method of a smart fire protection platform based on the Internet of Things in an embodiment of the present invention; Figure 3 A schematic diagram of the structure of a smart fire fighting platform according to an embodiment of the present invention, in which a control method of a smart fire fighting platform based on the Internet of Things is applied; Figure 4 This is a structural schematic diagram of a data processing module of a smart fire fighting platform in a control method for a smart fire fighting platform based on the Internet of Things according to an embodiment of the present invention. DETAILED DESCRIPTION

[0022] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with 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.

[0023] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0024] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0025] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0026] See also Figure 1-Figure 2 As shown, Figure 1 This is a workflow diagram of a control method of a smart fire protection platform based on the Internet of Things according to an embodiment of the present invention; Figure 2 The present invention is a flowchart for determining whether to adjust the judgment parameters of the fire monitoring method in the control method of the smart fire protection platform based on the Internet of Things in an embodiment of the present invention.

[0027] The control method of the smart fire fighting platform based on the Internet of Things in the embodiment of the present invention includes: Step S1, acquiring data of the building to be monitored, and determining the fire prone area of ​​the building to be monitored based on the historical fire occurrence area and the fire source concentration area of ​​the building to be monitored, wherein the fire source concentration area is determined according to the comparison result between the number of fire sources in the monitoring area and the preset number of fire sources; Step S2, determining the fire prone area type based on the risk factor characteristic type of the fire prone area, wherein the risk factor characteristic type is determined according to the balance degree of the risk factor and the type of the maximum number of risk factors, and the fire prone area type includes an electric fire area type, an open fire area type, and a mixed fire source area type; Step S3, determining a method for determining the type of time period for fire occurrence based on the type of the fire prone area, the method comprising determining the time period for fire occurrence based on a comparison result of the operating power of the electric equipment with a preset operating power and based on a comparison result of the exposure degree of the flammable material with a preset exposure degree; Step S4, determining a monitoring method for the fire prone area according to the type of fire occurrence time period, wherein the monitoring method includes using different camera rotation frequencies and different warning standard lines of each sensor; Step S5, based on the comparison result of the fire warning efficiency and the preset warning efficiency, determine whether to adjust the judgment parameters of the fire monitoring method, wherein the judgment parameters of the fire monitoring method include the preset number of fire sources, the preset operating power and the preset exposure degree.

[0028] The data to be monitored in the embodiment of the present invention includes but is not limited to "equipment and facility distribution information data, historical fire occurrence record information data and camera monitoring information data".

[0029] Specifically, in step S1, when determining the fire prone area of ​​the building to be monitored, the fire prone area of ​​the building to be monitored is determined according to the historical fire occurrence area of ​​the building to be monitored and the fire source concentration area; When the building area to be monitored is an area where a fire has occurred in the past, determining the building area to be monitored as an area prone to fire; When the building area to be monitored is an area where fire sources are concentrated, the building area to be monitored is determined to be an area prone to fire.

[0030] Specifically, in step S1, when determining the fire source gathering area, the fire source gathering area is determined according to the comparison result between the number of fire sources in the monitoring area and the preset number of fire sources; When the number of fire sources in the monitoring area is greater than a preset number of fire sources, determining the monitoring area as a fire source gathering area; When the number of fire sources in the monitoring area is less than or equal to the preset number of fire sources, determining the monitoring area as a fire source dispersion area; Among them, the preset number of fire sources is based on the average number of fire sources in the monitoring area where fires occurred in the historical fire records of the building to be monitored, but the above value is not limited to this, and technical personnel in this field can also adjust the value according to actual needs.

[0031] The present invention determines the fire-prone area of ​​the building to be monitored through the historical fire occurrence areas and fire source concentration areas of the building to be monitored. Considering that areas where fires have occurred often have some potential risk factors that have not been completely resolved or have certain special environmental conditions that easily lead to fires occurring again, and by comparing the number of fire sources in the monitoring area with the preset number of fire sources, the fire source concentration area can be accurately determined. By determining the fire-prone area through the above method, targeted analysis of the area to be monitored can be achieved.

[0032] Specifically, in step S2, when determining the type of a fire prone area, the type of the fire prone area is determined according to the risk factor characteristic type of the fire prone area; When the risk factor characteristic type of the fire prone area is an electric power equipment type, determining the fire prone area type as an electric fire area type; When the risk factor characteristic type of the fire prone area is a flammable material type, determining the fire prone area type as an open flame area type; When the risk factor characteristic type of the fire-prone area is a mixed type, the fire-prone area type is determined to be a mixed fire source area type.

[0033] Specifically, in step S2, when determining the risk factor characteristic type, the risk factor characteristic type is determined according to the balance degree of the risk factors and the type of the maximum number of risk factors; When the balance degree of the risk factor is greater than the preset balance degree and the type with the largest number of risk factors is electric power equipment, determining the risk factor characteristic type to be the electric power equipment type; When the balance degree of the risk factor is greater than the preset balance degree and the type with the largest number of risk factors is flammable, determining the risk factor characteristic type to be a flammable type; When the balance degree of the risk factor is less than or equal to the preset balance degree, it is determined that the characteristic type of the risk factor is a mixed type.

[0034] The balance degree of the risk factor in the embodiment of the present invention is the proportion of the maximum number of risk factors in the monitoring area. For example, if the number of types of power equipment in the monitoring area is 5 and the number of types of flammable materials is 20, the balance degree of the risk factor is 0.8. The value range of the preset balance degree is set to 0.7-0.92, and the value of the preset balance degree is preferably 0.8, but the above value is not limited to this. Technical personnel in this field can also adjust the value according to actual needs.

[0035] The electrical equipment described in the embodiment of the present invention includes but is not limited to "household appliances, public appliances and cables", and the inflammable materials include but are not limited to "toilet paper, wood and cotton".

[0036] The present invention can accurately determine the fire type tendency in an area by conducting detailed analysis and classification of risk factors in fire-prone areas. The introduction of the concept of balance of risk factors can more objectively evaluate the relative importance of different risk factors in an area. When the balance of risk factors is greater than a preset balance and the type with the largest number of risk factors is power equipment, it is determined to be a power equipment type, which means that the electric fire risk in the area is relatively high. On the contrary, if the type with the largest number of risk factors is flammable materials, it is determined to be a flammable material type. When the balance of risk factors is less than or equal to the preset balance, it is determined to be a mixed type, indicating that the electric fire and open flame risks in the area are relatively balanced, and fire protection planning needs to be comprehensively considered with both risk factors. The above method achieves targeted analysis of the monitoring area and then selects different monitoring methods according to the characteristics of different monitoring areas to improve fire warning efficiency.

[0037] Specifically, in step S3, when determining the method for determining the type of the fire occurrence time period, the method for determining the type of the fire occurrence time period is determined according to the type of the fire prone area; When the fire prone area type is an electrical fire area type, the fire occurrence time period type is determined based on the operating power of the electric equipment; When the fire prone area type is an open fire area type, the fire occurrence time period type is determined based on the exposure degree of the flammable materials; When the fire prone area type is a mixed fire source area type, the fire occurrence time period type is determined based on the operating power of the electrical equipment and the degree of exposure of the flammable materials.

[0038] Specifically, in step S3, when determining the type of the time period in which the fire occurs, the type of the time period in which the fire occurs is determined based on the comparison result between the operating power of the electric equipment and the preset operating power and based on the comparison result between the exposure degree of the flammable material and the preset exposure degree; When the operating power of the electric equipment is greater than the preset operating power or the exposure degree of the inflammable material is greater than the preset exposure degree, the fire time period occurrence type is determined as a fire prone time period; When the operating power of the electric equipment is less than or equal to the preset operating power or the exposure degree of the inflammable material is less than or equal to the preset exposure degree, the fire prone time period type is determined to be a fire not prone time period.

[0039] In the embodiment of the present invention, the exposure degree of the flammable material is determined according to the frequency of the state change of the flammable material within a preset time, and the preset time can be set to 1 hour. The state change of the flammable material includes but is not limited to "changes in the storage method of the flammable material, changes in the storage location of the flammable material, and the degree of use of the flammable material". The preset operating power is the average value of the average operating power of the power equipment in the monitored building within a preset period. The preset period can be set to 10 days. The preset exposure degree of the flammable material is based on the average value of the exposure degree of the flammable material in the monitoring area where the fire occurred in the historical fire occurrence record of the building to be monitored, but the above value is not limited to this. Those skilled in the art can also adjust the value according to actual needs.

[0040] In the embodiment of the present invention, when the operating power of the electric equipment is greater than the preset operating power or the exposure degree of the flammable material is greater than the preset exposure degree, the fire time period type is determined to be a fire prone time period, the time period when the operating power of the electric equipment is greater than the preset operating power is a fire prone time period, and the time period when the exposure degree of the flammable material is greater than the preset exposure degree is a fire prone time period. The time period can be set to 1 hour, for example, 24 hours a day, divided into 24 time periods, but the above values ​​are not limited to this, and technical personnel in this field can also adjust the values ​​according to actual needs.

[0041] The present invention determines the method of judging the type of time period in which a fire occurs according to the type of area prone to fire, so that the assessment of fire risk is more accurate. For the type of electric fire area, it is based on the operating power of the power equipment, for the type of open flame area, it is based on the degree of exposure of the flammable material, and for the type of mixed fire source area, both are considered comprehensively. In this way, according to the characteristics of different types of areas, high-risk time periods can be accurately found, and time periods in which fires are prone to occur can be accurately determined, so that the fire department and relevant personnel can prepare in advance and formulate emergency plans. During these time periods, once an abnormal situation occurs, a quick response can be made to improve the efficiency of fire extinguishing and rescue. Through the above method, targeted analysis of the monitoring area is achieved, and different monitoring methods are selected according to the characteristics of different monitoring areas to improve the efficiency of fire warning.

[0042] Specifically, in step S4, when determining the monitoring method for the fire prone area, the monitoring method for the fire prone area is determined according to the type of fire occurrence time period; When the fire occurrence time period type is a fire prone time period, determining to monitor the fire prone area with the first camera rotation frequency and the first warning standard line; When the fire occurrence time period type is a fire-prone time period, determining to monitor the fire-prone area with the second camera rotation frequency and the second warning standard line; Among them, the rotation frequency of the first camera is greater than the rotation frequency of the second camera, and the first warning standard line is less than the second warning standard line.

[0043] In the embodiment of the present invention, the monitoring of the fire-prone area with the first warning standard line includes issuing an alarm when the real-time monitoring data of any one of the sensors exceeds the first warning standard line, and the monitoring of the fire-prone area with the second warning standard line includes issuing an alarm when the real-time monitoring data of any one of the sensors exceeds the second warning standard line. The warning standard line is the alarm data threshold of each sensor. For example, if the alarm data threshold of the temperature sensor is 40 degrees Celsius, the warning standard line is 40 degrees Celsius. The second warning line standard is the historical maximum value of each sensor when no fire occurs in the monitored building. The first warning line standard is nine-tenths of the second warning line standard, but the above values ​​are not limited to this, and technical personnel in this field can also adjust the value according to actual needs.

[0044] The sensors described in the embodiment of the present invention include but are not limited to "smoke sensors, temperature sensors and flammable gas concentration sensors". The rotation frequency of the second camera can be set to 10 times per hour, and the rotation frequency of the first camera can be set to 20 times per hour, but the above values ​​are not limited to this, and technical personnel in this field can also adjust the values ​​according to actual needs.

[0045] The present invention adopts different monitoring methods according to the type of time period when a fire occurs, and can focus on monitoring high-risk time periods more accurately. In the time period when fires are prone to occur, the camera rotation frequency is increased and the warning standard line is lowered, so that the situation in the fire-prone area can be observed more frequently and potential fire hazards can be discovered in time. In the time period when fires are not prone to occur, a relatively low monitoring intensity is adopted, which can not only save resources, but also avoid frequent false alarms and reduce unnecessary interference. At the same time, it can also respond in time when abnormal situations occur. The time-divided monitoring method and clear warning mechanism enable a rapid response when a fire occurs. Once the real-time monitoring data of the sensor exceeds the warning standard line, an alarm is immediately issued to notify relevant personnel to take emergency measures. The present invention realizes targeted analysis of the monitoring area through the above method, and then selects different monitoring methods according to the characteristics of different monitoring areas to improve the efficiency of fire warning.

[0046] Specifically, in step S5, when determining whether to adjust the judgment parameters of the fire monitoring method, it is determined whether to adjust the judgment parameters of the fire monitoring method according to the comparison result of the fire warning efficiency and the preset warning efficiency; When the early warning efficiency of the fire is less than the preset early warning efficiency, determining to adjust the judgment parameters of the fire monitoring method; When the early warning efficiency of the fire is greater than or equal to the preset early warning efficiency, it is determined not to adjust the judgment parameters of the fire monitoring method.

[0047] The warning effectiveness rate in the embodiment of the present invention is the ratio of the effective number of alarms issued to the total number of alarms issued, and the effectiveness of issuing an alarm includes but is not limited to "actual occurrence of fire and the existence of potential risk of fire". The value range of the preset warning effectiveness rate is set to 0.7-0.94, and the value of the preset warning effectiveness rate is preferably 0.79, but the above value is not limited to this, and technical personnel in this field can also adjust the value according to actual needs.

[0048] Specifically, in step S5, when it is determined to adjust the judgment parameters of the fire monitoring method, it is determined to adjust the preset number of fire sources, the preset operating power and the preset exposure degree by the adjustment coefficient.

[0049] In the embodiment of the present invention, the value range of the adjustment coefficient is set to 1.05-1.21, and the value of the adjustment coefficient is preferably 1.12. The adjustment coefficient is negatively correlated with the early warning efficiency of the fire, but the above value is not limited to this. Those skilled in the art can also adjust the value according to actual needs.

[0050] The present invention can timely judge the effectiveness of the current fire monitoring method by comparing the early warning efficiency of the fire with the preset early warning efficiency. When the early warning efficiency is less than the preset early warning efficiency, it indicates that the current monitoring method may be insufficient and needs to be adjusted. This dynamic adjustment mechanism can ensure that the fire monitoring system always maintains a high efficiency level, and the definition of effective alarm includes the actual occurrence of fire and the potential risk of fire. This makes the fire monitoring system more comprehensive and sensitive. It can not only issue an alarm in time when a fire occurs, but also issue an early warning when a potential risk occurs, so as to buy time for taking preventive measures. This consideration of potential risks can greatly improve the accuracy and reliability of fire warnings, reduce the possibility and loss of fires, and achieve targeted analysis of the monitoring area through the above method, and then select different monitoring methods according to the characteristics of different monitoring areas to improve the efficiency of fire warning.

[0051] See also Figure 3-Figure 4 As shown, Figure 3A schematic diagram of the structure of a smart fire fighting platform according to an embodiment of the present invention, in which a control method of a smart fire fighting platform based on the Internet of Things is applied; Figure 4 It is a structural schematic diagram of a data processing module of a smart fire fighting platform of a control method for a smart fire fighting platform based on the Internet of Things according to an embodiment of the present invention.

[0052] Specifically, a smart fire fighting platform applied to the control method of the smart fire fighting platform based on the Internet of Things includes: A monitoring module, which includes a sensor unit for monitoring various fire-related data of the building to be monitored and a camera unit for monitoring real-time images of various areas of the building to be monitored; a data processing module connected to the monitoring module, comprising a data acquisition unit for acquiring data of the building to be monitored, a data analysis unit for determining fire-prone areas and their types and fire-prone time periods and their types based on the data of the building to be monitored, and a monitoring unit for determining a monitoring method for fire-prone areas based on the types of fire-prone time periods; The adjustment module is connected to the data processing module and is used to determine whether to adjust the judgment parameters of the fire monitoring method according to the comparison result between the fire early warning efficiency and the preset early warning efficiency.

[0053] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0054] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A control method for a smart fire fighting platform based on the Internet of Things, characterized in that: include: Acquire data of the building to be monitored, and determine the fire-prone area of ​​the building to be monitored based on the historical fire occurrence area of ​​the building to be monitored and the fire source concentration area, wherein the fire source concentration area is determined according to the comparison result between the number of fire sources in the monitoring area and the preset number of fire sources; Determining a fire prone area type based on a risk factor characteristic type of a fire prone area, wherein the risk factor characteristic type is determined according to a balance degree of risk factors and a type of a maximum number of risk factors, and the fire prone area type includes an electric fire area type, an open fire area type, and a mixed fire source area type; A method for determining the type of time period in which a fire is likely to occur based on the type of the fire prone area, the method comprising determining the type of time period in which a fire is likely to occur based on a comparison result of the operating power of the electric equipment with a preset operating power and a comparison result of the exposure degree of the flammable material with a preset exposure degree; Determine a monitoring method for fire-prone areas according to the type of fire occurrence time period, the monitoring method including using different camera rotation frequencies and different warning standard lines for each sensor; Based on the comparison result of the fire warning efficiency and the preset warning efficiency, it is determined whether to adjust the judgment parameters of the fire monitoring method, wherein the judgment parameters of the fire monitoring method include the preset number of fire sources, the preset operating power and the preset exposure degree.

2. The control method of the smart fire fighting platform based on the Internet of Things according to claim 1 is characterized in that: The fire-prone areas of the building to be monitored include: If the building area to be monitored is an area with a history of fire occurrence or an area with concentrated fire sources, the building area to be monitored is determined to be an area prone to fire occurrence.

3. The control method of the smart fire fighting platform based on the Internet of Things according to claim 2 is characterized in that: The fire source concentration areas are determined to include: If the number of fire sources in the monitoring area is greater than a preset number of fire sources, the monitoring area is determined to be a fire source concentration area.

4. The control method of the smart fire fighting platform based on the Internet of Things according to claim 3 is characterized in that: Determine the types of fire prone areas include: If the risk factor characteristic type of the fire prone area is an electric power equipment type, determining the fire prone area type as an electric fire area type; If the risk factor characteristic type of the fire prone area is a flammable material type, determining the fire prone area type as an open flame area type; If the risk factor characteristic type of the fire-prone area is a mixed type, the fire-prone area type is determined to be a mixed fire source area type.

5. The control method of the smart fire fighting platform based on the Internet of Things according to claim 4 is characterized in that: Determining the risk factor characteristic type includes: If the balance degree of the risk factor is greater than the preset balance degree and the type with the largest number of risk factors is power equipment, determining that the risk factor characteristic type is a power equipment type; If the balance degree of the risk factor is greater than the preset balance degree and the type with the largest number of risk factors is flammable, determining the risk factor characteristic type to be a flammable type; If the balance degree of the risk factor is less than or equal to the preset balance degree, it is determined that the characteristic type of the risk factor is a mixed type.

6. The control method of the smart fire fighting platform based on the Internet of Things according to claim 5 is characterized in that: The method for determining the type of fire occurrence time period includes: If the fire prone area type is an electrical fire area type, determine the fire occurrence time period type based on the operating power of the power equipment; If the fire prone area type is an open fire area type, determine the fire occurrence time period type based on the exposure degree of the flammable materials; If the fire-prone area type is a mixed fire source area type, the fire occurrence time period type is determined based on the operating power of the electrical equipment and the degree of exposure of flammable materials.

7. The control method of the smart fire fighting platform based on the Internet of Things according to claim 6 is characterized in that: Determining the type of time period during which a fire occurs includes: If the operating power of the electric equipment is greater than the preset operating power or the exposure degree of the inflammable material is greater than the preset exposure degree, the fire occurrence time period type is determined to be a fire prone time period; If the operating power of the electric equipment is less than or equal to the preset operating power or the exposure degree of the inflammable material is less than or equal to the preset exposure degree, the type of the fire occurrence time period is determined to be a time period in which fire is not likely to occur.

8. The control method of the smart fire fighting platform based on the Internet of Things according to claim 7 is characterized in that: The method for determining the monitoring of the fire prone area comprises: If the fire occurrence time period type is a fire prone time period, determine to monitor the fire prone area with the first camera rotation frequency and the first warning standard line; If the fire occurrence time period type is a fire-prone time period, determine to monitor the fire-prone area with the second camera rotation frequency and the second warning standard line; Among them, the rotation frequency of the first camera is greater than the rotation frequency of the second camera, and the first warning standard line is less than the second warning standard line.

9. The control method of the smart fire fighting platform based on the Internet of Things according to claim 8 is characterized in that: The step of determining whether to adjust the judgment parameters of the fire monitoring method includes: If the early warning efficiency of the fire is less than the preset early warning efficiency, it is determined to adjust the judgment parameters of the fire monitoring method.

10. A smart fire fighting platform applied to the control method of the smart fire fighting platform based on the Internet of Things as claimed in any one of claims 1 to 9, characterized in that: include: A monitoring module, which includes a sensor unit for monitoring various fire-related data of the building to be monitored and a camera unit for monitoring real-time images of various areas of the building to be monitored; a data processing module connected to the monitoring module, comprising a data acquisition unit for acquiring data of the building to be monitored, a data analysis unit for determining fire-prone areas and their types and fire-prone time periods and their types based on the data of the building to be monitored, and a monitoring unit for determining a monitoring method for fire-prone areas based on the types of fire-prone time periods; The adjustment module is connected to the data processing module and is used to determine whether to adjust the judgment parameters of the fire monitoring method according to the comparison result between the fire early warning efficiency and the preset early warning efficiency.

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