Internet-based intelligent data real-time analysis and dynamic recommendation system

Abstract

The invention discloses an internet-based intelligent data real-time analysis and dynamic recommendation system, relates to the technical field of park fire fighting system dynamic recommendation, and solves the technical problem that fire hydrant point locations and early warning point locations cannot be planned and recommended according to real-time data analysis in the prior art. The method specifically comprises the steps of setting fire hydrant mounting positions according to distribution positions of adjacent sub-areas, marking the fire hydrant mounting positions as preset point positions, performing area point position evaluation on a park area, setting an ignition point at any position in the park area, and performing fire hazard estimation according to the environment of the position where the ignition point is located. According to the real-time simulated ignition point, a fire pre-estimation line and a fire area expansion trend are obtained, a complete fire pre-estimation track chain is constructed in combination with a fire behavior track and a fire behavior area, and fire control area ratio and fire control pressure information are obtained according to real-time data acquisition and analysis. And fire hydrant point location planning is deduced according to real-time information comparison, and real-time recommendation is carried out through a recommendation module.

Description

Technical Field

[0001] The present invention relates to the field of dynamic recommendation technology for park fire protection systems, and in particular to a real-time analysis and dynamic recommendation system based on Internet intelligent data. Background Art

[0002] Internet data collection refers to the process of obtaining data from the Internet using relevant technical means; among them, park fire protection is of vital importance, which is related to the production safety of many enterprises and the safety of life and property of employees; it includes fire protection facility construction, fire safety management and fire protection publicity and education.

[0003] However, in the existing technology, it is not possible to perform real-time data analysis based on Internet technology when constructing the park fire protection system, so that it is impossible to plan and recommend fire hydrant points and warning points based on real-time data analysis, and it is impossible to ensure the efficiency of monitoring and protection. At the same time, it is impossible to infer whether the area has fire hazards based on real-time environmental data analysis, and it is impossible to evaluate the system's early warning performance, which reduces the efficiency of Internet real-time data analysis and causes a decline in the park's safety performance.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to solve the above-mentioned problems and to propose a real-time analysis and dynamic recommendation system based on Internet intelligent data.

[0006] The purpose of the present invention can be achieved by the following technical solutions:

[0007] A real-time analysis and dynamic recommendation system based on Internet intelligent data, including a fire protection design platform, the fire protection design platform communication connection has:

[0008] The fire hydrant point evaluation unit is used to divide the park area into several sub-areas, and freely combine the sub-areas according to their floor areas to ensure that the floor area of ​​the combined area meets the coverage area of ​​a single fire hydrant, and set the fire hydrant installation position according to the distribution positions of adjacent sub-areas, and mark it as a preset point, conduct regional point evaluation on the park area, set a fire point at any position in the park area, and make a fire prediction based on the environment of the fire point location, obtain the fire prediction line and the fire area expansion trend based on the real-time simulation of the fire point, build a complete fire prediction trajectory chain in combination with the fire trajectory and the fire area area, and obtain the fire control area ratio and fire control pressure information based on real-time data collection and analysis, infer the fire hydrant point planning based on real-time information comparison, and make real-time recommendations through the recommendation module;

[0009] The warning point analysis unit is used to analyze the preset warning points of each sub-area of ​​the park area, obtain warning sensitive information and warning deviation information, infer whether the current preset warning point settings are reasonable based on information value comparison, adjust according to the preset warning points and make recommendations through the recommendation module;

[0010] The regional analysis and early warning unit is used to analyze the floating trend of environmental parameters according to the characteristics of environmental parameters, collect data on the park area according to different types of trends, and obtain the warning time ratio data and warning time and data. Based on the real-time data comparison, it is inferred whether the environmental parameter collection and monitoring in the park is safe.

[0011] As a preferred embodiment of the present invention, the fire prediction route and the fire area expansion trend are obtained as follows: according to the ventilation trajectory of the real-time ignition point location and the ignition point of the combustibles placed at the ignition point location, the direction of the real-time ventilation trajectory is set as the fire prediction route, and according to the ignition point of the combustibles placed at the ignition point location is set as the fire area expansion trend.

[0012] As a preferred embodiment of the present invention, the fire control area ratio and the fire control pressure information are respectively the area ratio of the fire coverage area of ​​the sub-area corresponding to the fire estimation trajectory chain to the water supply coverage area of ​​the fire hydrant corresponding to the preset point of the water supply protection chain, and the floating span value affected by the real-time fire hydrant supply pressure after the water supply of the fire hydrant at the adjacent preset point of the water supply protection chain is started when the fire estimation trajectory chain continues to spread.

[0013] As a preferred embodiment of the present invention, if the fire control area ratio exceeds the fire control area ratio threshold, or the fire control pressure information exceeds the fire hydrant supply pressure impact floating span value threshold, it is determined that the preset position of the fire hydrant in the current park area is unreasonable;

[0014] If the fire control area ratio does not exceed the fire control area ratio threshold, and the fire control pressure information does not exceed the fire hydrant supply pressure impact floating span value threshold, it is determined that the preset position of the fire hydrant in the current park area is reasonable.

[0015] As a preferred embodiment of the present invention, the recommendation module adjusts the preset points according to the trend of the fire prediction trajectory chain corresponding to any point in the park area, and at the same time, the adjusted points can ensure the fire prediction trajectory chain of each arbitrary point. If the fire prediction trajectory chain of each point cannot be guaranteed, fire hydrants are added in the corresponding area and the area planning is re-performed after the points are added; then the recommended adjustment points or recommended addition points are sent to the fire protection design platform.

[0016] As a preferred embodiment of the present invention, the warning sensitive information and the warning deviation information are respectively the numerical deviation of the environmental parameter measurement sensitivity at any different position in the corresponding sub-area when the preset warning point performs environmental parameter detection through the sensor, the corresponding environmental parameter measurement deviation value after the regional environmental parameter at the location of the preset warning point fluctuates, and the cumulative sum of the deviation values ​​corresponding to the environmental parameter measurement deviation at any position in the sub-area measured by the preset warning point after the regional environmental parameter fluctuates.

[0017] As a preferred embodiment of the present invention, if the warning sensitive information exceeds the sensitivity value deviation threshold, or the warning deviation information exceeds the deviation value cumulative sum threshold, it is inferred that the current preset warning point setting is unreasonable;

[0018] If the warning sensitive information does not exceed the sensitivity value deviation threshold, and the warning deviation information does not exceed the deviation value cumulative sum threshold, it is inferred that the current preset warning point settings are reasonable.

[0019] As a preferred embodiment of the present invention, the recommendation module uses the real-time preset warning point as the detection starting point, and uses the position where there is a deviation in the environmental parameters measured by the sensor corresponding to the detection starting point as the recommended adjustment position. If there are many recommended adjustment positions, the short-distance position is adjusted and the sensor is added to the long-distance position, and the recommended warning points are sent to the fire protection design platform together.

[0020] As a preferred embodiment of the present invention, different types of trends are: analyzing the floating trend of environmental parameters according to the characteristics of environmental parameters; if the fire risk increases when the environmental parameter value shows an increasing trend or a decreasing trend, the current increasing trend or decreasing trend is marked as a dangerous trend; conversely, if the fire risk decreases when the environmental parameter value shows an increasing trend or a decreasing trend, the current increasing trend or decreasing trend is marked as a safe trend.

[0021] As a preferred embodiment of the present invention, the warning duration ratio data and the warning duration and data are respectively the numerical ratio of the monitoring warning duration to the dangerous trend stage during the transition of the safety trend of the environmental parameters of any sub-region in the park area to the dangerous trend stage, and the corresponding numerical ratio of the duration of the dangerous trend stage to the duration of the adjacent sub-region environmental parameters floating in the dangerous trend direction when any sub-region in the park area is in the dangerous trend stage, and the cumulative value of the corresponding duration of the floating duration of the environmental parameters of the same sub-region after the monitoring warning;

[0022] If the warning duration ratio data exceeds the continuous duration value ratio threshold, and the warning duration and data do not exceed the continuous duration cumulative value threshold, it is inferred that the environmental parameter collection and monitoring in the park area is safe; if the warning duration ratio data does not exceed the continuous duration value ratio threshold, or the warning duration and data do not exceed the continuous duration cumulative value threshold, it is inferred that the environmental parameter collection and monitoring in the park area is dangerous.

[0023] Compared with the prior art, the present invention has the following beneficial effects:

[0024] 1. In the present invention, fire protection design is carried out according to the analysis of collected data to improve the comprehensiveness of the fire protection system in the park, and dynamic recommendations are made according to data analysis to improve the fire protection system in the park and ensure the safety of fire warning in the park; the fire safety performance is reasonably inferred through the analysis of fire hydrant points to ensure the efficiency of fire warning, and at the same time, when a fire occurs, it is ensured that the current set point can meet the fire protection, thereby improving the efficiency of fire protection;

[0025] The early warning points in each sub-area within the park area are analyzed. Based on the analysis of the early warning points in the sub-area, it is inferred whether the current early warning point meets the early warning needs of any location in the current sub-area to ensure the accuracy of fire early warning in the park area. This system collects and analyzes data and makes intelligent recommendations based on the analysis results, so that the early warning point settings in each sub-area can meet the needs, thereby improving the efficiency of fire early warning in the park area.

[0026] 2. In the present invention, real-time data analysis is performed on the park area, and whether there are fire hazards in the park area is inferred through real-time data analysis. The regional fire protection design platform is improved according to the fire hazard analysis results, and at the same time, it is inferred whether there are protection loopholes in the early warning positions or protection positions of each sensor in the current fire protection design platform, thereby indirectly improving the efficiency of the fire protection design platform in the park area;

[0027] Conduct real-time data analysis of sub-areas in the park area to construct evacuation channels to ensure that when a fire occurs in the park, it can be recommended that park personnel evacuate through safe channels, ensuring the efficiency of park personnel evacuation while reflecting the safety of the fire protection system, avoiding the huge impact of sudden man-made fires caused by untimely warnings, which will reduce the comprehensiveness of the fire protection system. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0029] Figure 1 This is a principle block diagram of Embodiment 1 of the present invention;

[0030] Figure 2 This is a principle block diagram of the second embodiment of the present invention. DETAILED DESCRIPTION

[0031] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0032] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0033] Embodiment 1

[0034] See also Figure 1 As shown, a real-time analysis and dynamic recommendation system based on Internet intelligent data includes a fire protection design platform, wherein the fire protection design platform is communicatively connected with a fire hydrant point assessment unit, an early warning point analysis unit, a regional analysis and early warning unit, and a recommendation module. This embodiment adopts Internet intelligent data collection, and performs fire protection design based on the collected data analysis to improve the comprehensiveness of the fire protection system in the park, and performs dynamic recommendation based on data analysis to improve the fire protection system in the park and ensure the safety of fire warning in the park;

[0035] The fire protection design platform generates a fire hydrant point assessment signal and sends it to the fire hydrant point assessment unit. After receiving the fire hydrant point assessment, the fire hydrant point assessment unit divides the park area into several sub-areas and freely combines them according to the area of ​​the sub-areas to ensure that the area of ​​the combined area meets the coverage area of ​​a single fire hydrant, and sets the fire hydrant installation position according to the distribution position of the adjacent sub-areas, and marks it as a preset point. Through the fire hydrant point analysis, the fire safety performance is reasonably inferred to ensure the efficiency of fire warning. At the same time, when a fire occurs, it is ensured that the current set point can meet the fire protection, thereby improving the efficiency of fire protection.

[0036] Conduct regional point assessment on the park area, set a fire point at any location in the park area, and make a fire prediction based on the environment of the fire point location, that is, according to the ventilation trajectory of the real-time fire point location and the ignition point of the combustible placed at the fire point location, set the fire prediction line according to the direction of the real-time ventilation trajectory, and set the ignition point of the combustible placed at the fire point location as the fire area expansion trend. According to the fire prediction line and the fire area expansion trend, a complete fire prediction trajectory chain is constructed in combination with the fire trajectory and the fire area area;

[0037] According to the real-time fire prediction trajectory chain and combined with the preset points in the park area, analysis is performed. When the preset point of the current fire point is used as the supply starting point, the adjacent preset points corresponding to the supply starting point are obtained in combination with the fire prediction trajectory chain and a water supply protection chain is constructed. The fire coverage area of ​​the sub-area corresponding to the fire prediction trajectory chain and the fire hydrant water supply coverage area of ​​the preset point corresponding to the water supply protection chain are obtained, and the fire control area ratio is calculated based on the ratio. At the same time, the floating span value of the real-time running fire hydrant supply pressure after the water supply of the fire hydrant at the adjacent preset point of the water supply protection chain is started when the fire prediction trajectory chain continues to spread is collected, and the floating span value of the real-time running fire hydrant supply pressure after the water supply of the fire hydrant at the adjacent preset point of the water supply protection chain is started when the fire prediction trajectory chain continues to spread is marked as fire control pressure information;

[0038] And the fire control area ratio and fire control pressure information are compared with the fire control area ratio threshold and the fire hydrant supply pressure impact floating span value threshold respectively:

[0039] If the fire control area ratio exceeds the fire control area ratio threshold, or the fire control pressure information exceeds the fire hydrant supply pressure influence floating span value threshold, it is determined that the preset position of the fire hydrant in the current park area is unreasonable, and a position change signal is generated and sent to the recommendation module. After receiving the position change signal, the recommendation module adjusts the preset point according to the trend of the fire prediction trajectory chain corresponding to any point in the park area, and at the same time, the adjusted point can ensure the fire prediction trajectory chain of each arbitrary point. If the fire prediction trajectory chain of each point cannot be guaranteed, fire hydrants are added in the corresponding area and the area planning is re-performed after the points are added; then the recommended adjustment point or the recommended increase point is sent to the fire design platform;

[0040] If the fire control area ratio does not exceed the fire control area ratio threshold, and the fire control pressure information does not exceed the fire hydrant supply pressure impact floating span value threshold, then it is determined that the fire hydrant preset point in the current park area is reasonable, and a point setting signal is generated and sent to the recommendation module. The recommendation module sends the real-time preset point and the point setting signal to the fire design platform;

[0041] After the fire hydrant point recommendation is completed, an early warning point analysis signal is generated and sent to the early warning point analysis unit. After receiving the early warning point analysis signal, the early warning point analysis unit analyzes the early warning points of each sub-area in the park area, and infers whether the current early warning point meets the early warning demand of any position in the current sub-area based on the early warning point analysis in the sub-area, so as to ensure the accuracy of fire early warning in the park area. Through data collection and analysis by this system and intelligent recommendation based on the analysis results, the early warning point settings in each sub-area can meet the demand, thereby improving the efficiency of fire early warning in the park area; the early warning point is represented by the environmental monitoring sensor in the sub-area, such as smoke sensor, temperature sensor, etc.;

[0042] According to the preset early warning points of each sub-area of ​​the park area, an analysis is performed to obtain the numerical deviation of the environmental parameter measurement sensitivity at any different position in the corresponding sub-area when the preset early warning point is detected by the sensor, wherein the environmental parameter is represented by the parameter collected by the environmental monitoring sensor, and the measurement sensitivity is represented by the unit value of the environmental parameter value fluctuation that the sensor can collect; and the numerical deviation of the environmental parameter measurement sensitivity at any different position in the corresponding sub-area when the preset early warning point is detected by the sensor is marked as early warning sensitive information;

[0043] Obtain the corresponding environmental parameter measurement deviation value after the regional environmental parameter at the location of the preset warning point fluctuates and the cumulative sum value of the corresponding environmental parameter measurement deviation value after the regional environmental parameter at any position in the measurement sub-region of the preset warning point fluctuates, wherein the cumulative sum value is represented as the corresponding cumulative sum of the deviation values ​​of the preset warning point; and mark the corresponding environmental parameter measurement deviation value after the regional environmental parameter at the location of the preset warning point fluctuates and the corresponding environmental parameter measurement deviation value after the regional environmental parameter at any position in the measurement sub-region of the preset warning point fluctuates as warning deviation information;

[0044] And the warning sensitive information and warning deviation information are compared with the sensitivity value deviation threshold and the deviation value cumulative sum threshold respectively:

[0045] If the numerical deviation of the environmental parameter measurement sensitivity at any different position in the corresponding sub-area when the preset warning point detects the environmental parameters through the sensor exceeds the sensitivity numerical deviation threshold, or the corresponding environmental parameter measurement deviation value after the regional environmental parameters at the location of the preset warning point fluctuate and the corresponding environmental parameter measurement deviation at any position in the sub-area measured by the preset warning point after the regional environmental parameters fluctuate exceed the deviation cumulative sum threshold, it is inferred that the current preset warning point setting is unreasonable, and a warning point recommendation signal is generated and sent to the recommendation module. After receiving the warning point recommendation signal, the recommendation module uses the real-time preset warning point as the detection starting point, and uses the position where the environmental parameter measured by the sensor corresponding to the detection starting point has a deviation as the recommended adjustment position, and if the number of recommended adjustment positions is large, the short-distance position is adjusted and the sensor is added to the long-distance position, and the recommended warning points are sent to the fire protection design platform together;

[0046] If the numerical deviation of the environmental parameter measurement sensitivity at any different position in the corresponding sub-area when the preset warning point detects the environmental parameters through the sensor does not exceed the sensitivity numerical deviation threshold, and the corresponding environmental parameter measurement deviation value after the regional environmental parameter at the location of the preset warning point fluctuates and the corresponding environmental parameter measurement deviation at any position in the sub-area measured by the preset warning point after the regional environmental parameter fluctuates does not exceed the cumulative deviation value threshold, it is inferred that the current preset warning point setting is reasonable, and a qualified warning point signal is generated and sent to the recommendation module;

[0047] After the early warning point setting is completed, a regional analysis early warning signal is generated and sent to the regional analysis early warning unit. After receiving the regional analysis early warning signal, the regional analysis early warning unit conducts real-time data analysis on the park area, and infers whether there are fire hazards in the park area through real-time data analysis. The regional fire protection design platform is improved according to the fire hazard analysis results, and it is inferred whether there are protection loopholes in the early warning positions or protection positions of each sensor in the current fire protection design platform, thereby indirectly improving the efficiency of the fire protection design platform in the park area;

[0048] Analyze the floating trend of environmental parameters according to the characteristics of environmental parameters. If the fire risk increases when the environmental parameter value shows an increasing trend or a decreasing trend, the current increasing trend or decreasing trend is marked as a dangerous trend. On the contrary, if the fire risk decreases when the environmental parameter value shows an increasing trend or a decreasing trend, the current increasing trend or decreasing trend is marked as a safe trend.

[0049] The numerical ratio of the monitoring and warning duration of the transition of the safety trend of environmental parameters in any sub-area in the park area to the dangerous trend stage and the duration of the dangerous trend stage is obtained. At the same time, the continuous floating duration of the environmental parameters of the adjacent sub-areas in the dangerous trend direction when any sub-area in the park area is in the dangerous trend stage and the corresponding cumulative value of the floating duration of the environmental parameters of the same sub-area after the monitoring and warning are obtained. The numerical ratio of the transition of the safety trend of environmental parameters in any sub-area in the park area to the dangerous trend stage and the duration of the dangerous trend stage, and the continuous floating duration of the environmental parameters of the adjacent sub-areas in the dangerous trend direction when any sub-area in the park area is in the dangerous trend stage and the corresponding cumulative value of the floating duration of the environmental parameters of the same sub-area after the monitoring and warning are marked as warning duration ratio data and warning duration sum data, and compared with the duration numerical ratio threshold and duration cumulative value threshold respectively:

[0050] If the ratio of the monitoring and warning duration of the safety trend of any sub-region in the park area to the duration of the dangerous trend stage exceeds the duration value ratio threshold, and the cumulative value of the duration of the floating of the environmental parameters of the adjacent sub-regions in the dangerous trend direction when any sub-region in the park area is in the dangerous trend stage and the corresponding duration of the floating duration of the environmental parameters of the same sub-region after the monitoring and warning does not exceed the cumulative duration threshold, it is inferred that the environmental parameter collection and monitoring in the park area is safe, and a no-warning and qualified signal is generated and sent to the recommendation module. After receiving the no-warning and qualified signal, the recommendation module uses the point setting rules in the current fire design platform as the real-time park fire system rules and sends them to the fire design platform;

[0051] If the ratio of the monitoring and warning duration to the duration of the dangerous trend stage during the transition of the safety trend of any sub-region in the park area does not exceed the duration ratio threshold, or when any sub-region in the park area is in the dangerous trend stage, the continuous floating duration of the environmental parameters of the adjacent sub-regions in the dangerous trend direction and the corresponding cumulative duration of the floating duration of the environmental parameters of the same sub-region after the monitoring and warning do not exceed the cumulative duration threshold, then it is inferred that the environmental parameter collection monitoring in the park area is dangerous, and an early warning and unqualified signal is generated and sent to the recommendation module. After receiving the early warning and unqualified signal, the recommendation module will issue a fire warning to the current park area and conduct real-time control and investigation of the corresponding sub-region. At the same time, in the park area, with the current control and investigation sub-region as the center, the early warning point of the park area is re-planned and the re-planned sub-region position is sent to the recommendation module. After receiving the recommendation module, the point is adjusted according to the real-time monitoring needs and sent to the fire protection design platform after the adjustment is completed;

[0052] Embodiment 2

[0053] Based on the previous embodiment, this embodiment performs real-time data analysis and makes real-time recommendations after a fire occurs to ensure the fire safety of the park area and reduce the impact of the fire. Figure 2 As shown, the fire protection design platform is connected to the recommendation module in communication with a channel analysis unit;

[0054] After a fire occurs in the park area, a channel analysis signal is generated and sent to the channel analysis unit. After receiving the channel analysis signal, the channel analysis unit conducts real-time data analysis of the sub-areas of the park area to construct an evacuation channel to ensure that when a fire occurs in the park, it can recommend park personnel to evacuate through a safe channel, ensure the evacuation efficiency of park personnel and reflect the safety of the fire protection system, and avoid the huge impact of sudden man-made fire warnings that are not timely, which will reduce the comprehensiveness of the fire protection system.

[0055] When a fire occurs in the park area, the first warning sub-area is used as the starting point of the fire, and the evacuation route is constructed and recommended based on the location distribution of each sub-area in the park area and the shortest distance as the standard. At the same time, real-time data analysis of the park is carried out to make temporary adjustments to the evacuation route;

[0056] The real-time overlapping distance value between the real-time fire smoke trajectory and any section of the evacuation route in the park area is obtained, and after the real-time overlapping distance value exceeds the set threshold, the starting point of the current overlapping distance is used as the route change point. At the same time, after the route change point is passed, the route is changed according to the distribution position of the sub-area. After the change, the route change intersection is determined, and the distance between the current intersection position and the route change point is measured, and the route change point position and the route change moving distance are broadcasted. At the same time, the concentration of the route change point position is detected in real time. If the concentration drops, both current routes are used as recommended routes, that is, people who have passed the route change point are recommended with the changed route, and people who have not passed the route change point are recommended with the originally set evacuation route;

[0057] At the same time, the fire information of each sub-area after the fire occurs in the park area is obtained, wherein the fire information includes the burning area of ​​the combustibles in the sub-area, the temperature value of the real-time temperature exceeding the highest ignition point of the combustibles, etc. Among them, when the fire information of any sub-area in the park area continues to rise and the rising span continues to increase, the current sub-area is marked as the starting risk point, that is, the fire in the current sub-area is higher than the starting point; if the current real-time recommended route has a starting risk point or the distance from the starting risk point does not exceed the set threshold, the recommended route is changed and the real-time recommended route is sent to the recommendation module; otherwise, continuous recommendation is made according to the recommended route;

[0058] The above formulas are obtained by collecting a large amount of data and performing software simulation, and a formula close to the actual value is selected. The coefficients in the formula are set by technicians in this field according to actual conditions;

[0059] When the present invention is in use, the fire hydrant point assessment unit divides the park area into several sub-areas, and freely combines the sub-areas according to the floor area thereof, so as to ensure that the floor area of ​​the combined area satisfies the functional coverage area of ​​a single fire hydrant, and sets the fire hydrant installation position according to the distribution position of the adjacent sub-areas, and marks it as a preset point, performs regional point assessment on the park area, sets a fire point at any position in the park area, and performs fire prediction according to the environment at the location of the fire point, obtains the fire prediction line and the fire area expansion trend according to the real-time simulation of the fire point, constructs a complete fire prediction trajectory chain in combination with the fire trajectory and the fire area area, and obtains the fire control information according to the real-time data collection and analysis. The area ratio and fire control pressure information are used to infer the fire hydrant point planning based on real-time information comparison and make real-time recommendations through the recommendation module; the warning point analysis unit analyzes the preset warning points in each sub-area of ​​the park area, obtains the warning sensitive information and warning deviation information, and infers whether the current preset warning point settings are reasonable based on the information value comparison, and makes adjustments based on the preset warning points and recommends through the recommendation module; the regional analysis and warning unit analyzes the floating trend of environmental parameters according to the characteristics of environmental parameters, collects data on the park area according to different types of trends, and obtains the warning time ratio data and warning time and data, and infers whether the environmental parameter collection and monitoring in the park is safe based on real-time data comparison.

[0060] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A real-time analysis and dynamic recommendation system based on Internet intelligent data, characterized in that: Including fire protection design platform, the fire protection design platform communication connections are: The fire hydrant point evaluation unit is used to divide the park area into several sub-areas, and freely combine the sub-areas according to their floor areas to ensure that the floor area of ​​the combined area meets the coverage area of ​​a single fire hydrant, and set the fire hydrant installation position according to the distribution positions of adjacent sub-areas, and mark it as a preset point, conduct regional point evaluation on the park area, set a fire point at any position in the park area, and make a fire prediction based on the environment of the fire point location, obtain the fire prediction line and the fire area expansion trend based on the real-time simulation of the fire point, build a complete fire prediction trajectory chain in combination with the fire trajectory and the fire area area, and obtain the fire control area ratio and fire control pressure information based on real-time data collection and analysis, infer the fire hydrant point planning based on real-time information comparison, and make real-time recommendations through the recommendation module; The warning point analysis unit is used to analyze the preset warning points of each sub-area of ​​the park area, obtain warning sensitive information and warning deviation information, infer whether the current preset warning point settings are reasonable based on information value comparison, adjust according to the preset warning points and make recommendations through the recommendation module; The regional analysis and early warning unit is used to analyze the floating trend of environmental parameters according to the characteristics of environmental parameters, collect data on the park area according to different types of trends, and obtain the warning time ratio data and warning time and data. Based on the real-time data comparison, it is inferred whether the environmental parameter collection and monitoring in the park is safe.

2. According to claim 1, a real-time analysis and dynamic recommendation system based on Internet intelligence data is characterized in that: The fire prediction route and the fire area expansion trend are obtained as follows: according to the ventilation trajectory of the real-time fire point location and the ignition point of the combustibles placed at the fire point location, the direction of the real-time ventilation trajectory is set as the fire prediction route, and according to the ignition point of the combustibles placed at the fire point location is set as the fire area expansion trend.

3. The real-time analysis and dynamic recommendation system based on Internet intelligence data according to claim 2 is characterized in that: The fire control area ratio and fire control pressure information are respectively the area ratio of the fire coverage area of ​​the sub-area corresponding to the fire estimation trajectory chain to the water supply coverage area of ​​the fire hydrant at the preset point corresponding to the water supply protection chain, and the floating span value affected by the real-time fire hydrant supply pressure after the water supply of the fire hydrant at the adjacent preset point of the water supply protection chain is started when the fire estimation trajectory chain continues to spread.

4. The real-time analysis and dynamic recommendation system based on Internet intelligent data according to claim 3 is characterized in that: If the fire control area ratio exceeds the fire control area ratio threshold, or the fire control pressure information exceeds the fire hydrant supply pressure impact floating span value threshold, then the fire hydrant preset points in the current park area are judged to be unreasonable; if the fire control area ratio does not exceed the fire control area ratio threshold, and the fire control pressure information does not exceed the fire hydrant supply pressure impact floating span value threshold, then the fire hydrant preset points in the current park area are judged to be reasonable.

5. The real-time analysis and dynamic recommendation system based on Internet intelligent data according to claim 4 is characterized in that: The recommendation module adjusts the preset points according to the trend of the fire prediction trajectory chain corresponding to any point in the park area. At the same time, the adjusted points can ensure the fire prediction trajectory chain of each arbitrary point. If the fire prediction trajectory chain of each point cannot be guaranteed, fire hydrants are added in the corresponding area and the area planning is re-performed after the points are added; then the recommended adjustment points or recommended addition points are sent to the fire protection design platform.

6. The real-time analysis and dynamic recommendation system based on Internet intelligent data according to claim 1 is characterized in that: The warning sensitive information and warning deviation information are respectively the numerical deviation of the environmental parameter measurement sensitivity at any different position in the corresponding sub-area when the preset warning point detects the environmental parameters through the sensor, the corresponding environmental parameter measurement deviation value after the regional environmental parameter at the location of the preset warning point fluctuates, and the cumulative sum of the deviation values ​​corresponding to the environmental parameter measurement deviation at any position in the sub-area measured by the preset warning point after the regional environmental parameter fluctuates.

7. The real-time analysis and dynamic recommendation system based on Internet intelligent data according to claim 6 is characterized in that: If the warning sensitive information exceeds the sensitivity value deviation threshold, or the warning deviation information exceeds the deviation value cumulative sum threshold, it is inferred that the current preset warning point setting is unreasonable; If the warning sensitive information does not exceed the sensitivity value deviation threshold, and the warning deviation information does not exceed the deviation value cumulative sum threshold, it is inferred that the current preset warning point settings are reasonable.

8. The real-time analysis and dynamic recommendation system based on Internet intelligence data according to claim 7 is characterized in that: The recommendation module uses the real-time preset warning point as the detection starting point, and uses the position where the environmental parameters measured by the sensor corresponding to the detection starting point have deviations as the recommended adjustment position. If there are many recommended adjustment positions, the short-distance position will be adjusted and sensors will be added to the long-distance position. The recommended warning points will be sent to the fire protection design platform together.

9. The real-time analysis and dynamic recommendation system based on Internet intelligent data according to claim 1 is characterized in that: The different types of trends are: Analyze the floating trend of environmental parameters according to the characteristics of environmental parameters. If the fire risk increases when the environmental parameter value shows an increasing trend or a decreasing trend, the current increasing trend or decreasing trend is marked as a dangerous trend; On the contrary, if the fire risk is reduced when the environmental parameter value shows an increasing trend or a decreasing trend, the current increasing trend or decreasing trend is marked as a safe trend.

10. The real-time analysis and dynamic recommendation system based on Internet intelligent data according to claim 9 is characterized in that: The warning duration ratio data and the warning duration and data are respectively the ratio of the monitoring warning duration to the duration of the dangerous trend stage when the safety trend of the environmental parameters of any sub-area in the park area changes, and the cumulative value of the duration of the floating of the environmental parameters of the adjacent sub-area in the dangerous trend direction when any sub-area in the park area is in the dangerous trend stage and the corresponding duration of the floating of the environmental parameters of the same sub-area after the monitoring warning; If the warning duration ratio exceeds the continuous duration value ratio threshold, and the warning duration and data do not exceed the continuous duration cumulative value threshold, it is inferred that the environmental parameter collection and monitoring in the park area is safe; if the warning duration ratio exceeds the data The duration value ratio threshold is not exceeded, or the warning duration and data do not exceed the cumulative duration value threshold. It is inferred that the collection and monitoring of environmental parameters in the park area is dangerous.

Images