CN117221361A - Informationized intelligent park management system - Google Patents

Informationized intelligent park management system Download PDF

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Publication number
CN117221361A
CN117221361A CN202311256779.9A CN202311256779A CN117221361A CN 117221361 A CN117221361 A CN 117221361A CN 202311256779 A CN202311256779 A CN 202311256779A CN 117221361 A CN117221361 A CN 117221361A
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intelligent
fire
data
park
module
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汪坚
胡龙
孟习柱
周晓飞
蒋云龙
王胜利
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Shanghai Yibang Intelligent Technology Co ltd
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Shanghai Yibang Intelligent Technology Co ltd
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Abstract

The invention relates to the technical field of park management, in particular to an informationized intelligent park management system, which comprises a plurality of intelligent sensors, intelligent smoke sensing and intelligent temperature sensing equipment, a video linkage alarm module, a data processing unit, a control unit and an environment simulator module, wherein the intelligent sensors are used for monitoring the running state of fire-fighting equipment in a park in real time; the intelligent smoke sensing and intelligent temperature sensing equipment is used for monitoring the condition of fire source or overheat in the park in real time; the video linkage alarm module starts a camera in the park to record video; the data processing unit is used for receiving and processing data; the control unit is used for processing data according to the data processing unit; the environmental simulator module simulates a fire propagation path and an area of influence. The invention intuitively displays the area and the influence range of the possible spread of the fire in the form of a three-dimensional graph or a heat map, and provides more comprehensive information support so that management staff can make more accurate decisions.

Description

Informationized intelligent park management system
Technical Field
The invention relates to the technical field of park management, in particular to an informationized intelligent park management system.
Background
Fire safety is an extremely important aspect in modern park management. However, conventional parks typically rely on human labor for inspection work and monitoring of electrical safety of fire facilities. Such management is inefficient and often not timely and accurate in response in the event of an emergency such as a fire. In addition, conventional fire safety management methods often lack highly integrated information systems, resulting in data islanding, which affects real-time knowledge and analysis of the global status of the campus.
Currently, while some advanced fire safety management systems attempt to automate by installing simple fire sensors and cameras, these systems generally provide limited functionality, such as basic smoke or temperature detection, and do not fully assess fire risk and impact.
More advanced systems may employ data centers and some degree of sensor network, but often appear relatively weak in terms of fire simulation and prediction. Most systems lack dynamic simulation engines and are not capable of simulating the diffusion path and area of impact of a fire in real time based on status information of various sensors and devices. Furthermore, these systems also typically do not present simulation results to the manager in an intuitive, easily understood manner, thereby limiting their effectiveness in fire emergency response.
Even though some systems have more sensors and algorithm models, they often lack an integrated management platform, making it difficult to aggregate and analyze data from different departments or different locations, and thus, to achieve comprehensive, systematic campus security management.
Disclosure of Invention
Based on the above objects, the present invention provides an information-based intelligent park management system.
An informationized intelligent park management system comprises a plurality of intelligent sensors, intelligent smoke sensing and intelligent temperature sensing equipment, a video linkage alarm module, a data processing unit, a control unit and an environment simulator module, wherein,
the intelligent sensor is used for monitoring the operation state of fire-fighting equipment in the park in real time;
the intelligent smoke sensing and intelligent temperature sensing equipment is used for monitoring the condition of fire source or overheat in the park in real time;
the video linkage alarm module is used for starting cameras in the park in real time to record videos after detecting a fire source or overheat condition and sending alarm information to management staff;
the data processing unit is used for receiving and processing data sent by the intelligent sensor and the intelligent smoke sensing device;
the control unit is used for controlling fire-fighting equipment in the park according to the data processed by the data processing unit;
the environment simulator module can simulate a fire disaster diffusion path and an influence area according to the received fire fighting equipment operation data, intelligent smoke feeling and temperature feeling data, provide early warning for management staff and provide a proposal strategy for coping with the fire disaster.
Further, the intelligent sensor specifically includes:
fire extinguisher status sensor: the device is arranged on each fire extinguisher and used for monitoring the pressure and the residual quantity of the chemical agent of the fire extinguisher in real time and has a positioning function so as to quickly find the nearest available fire extinguisher when needed;
tap flow and pressure sensor: the fire water faucet is arranged at the fire water faucet in the park and is used for monitoring the states of water flow and water pressure;
fire alarm button condition sensor: the fire alarm button is arranged on the fire alarm button and used for monitoring the working state of the button and whether the button is pressed down or not;
fire elevator status sensor: for monitoring the operating status of the firefighting elevator, including elevator position, whether in use, and the operating condition of the emergency call system;
fire lights and sign status sensors: the system is used for monitoring the working states of the fire-fighting lights and the marks, and ensuring that the fire-fighting lights and the marks provide clear guidance for people evacuation in emergency;
intelligent gas detection sensor: the sensor is used for monitoring gas leakage which causes fire, collecting and analyzing the gas concentration in the air in real time, and triggering an alarm when the dangerous level is reached;
and a communication detection module: the method is used for detecting the communication states between the various sensors and the data processing unit, and ensures the stability and instantaneity of data transmission.
Further, the intelligent smoke sensing and intelligent temperature sensing device specifically comprises:
intelligent smoke sensor: the intelligent smoke sensor is arranged at each position of a park and used for detecting the smoke concentration in the air in real time, and the sensitivity of the intelligent smoke sensor is automatically adjusted according to environmental factors so as to avoid false alarm;
intelligent temperature sensor: the intelligent temperature sensors are distributed in each area of the park and used for monitoring the ambient temperature and analyzing the temperature change trend in real time;
an infrared thermal imaging module: for thermally imaging scans of specific areas within a campus, in particular flammable and explosive areas;
and the linkage response module is used for: when the intelligent smoke sensor and the intelligent temperature sensor detect abnormal conditions, the module automatically starts a water spraying system, a fan or an alarm system connected with the intelligent smoke sensor and the intelligent temperature sensor to primarily control and isolate a fire source.
Further, the screen linkage alarm module specifically includes:
real-time video analysis unit: receiving real-time video streams of cameras in a park, wherein the unit is provided with an advanced image recognition algorithm, and automatically detecting abnormal phenomena in the video;
priority judgment mechanism: when the real-time video analysis unit detects an abnormality, the mechanism automatically evaluates the severity and urgency of the abnormality and decides whether to activate an alarm according to a predetermined priority criterion;
remote control module: the park manager remotely accesses the real-time video stream of the camera through the remote control module mobile device or the computer, and manually adjusts the angle or focal length of the camera so as to more accurately judge the abnormal situation;
automatic video storage unit: when an abnormal condition is detected, starting a video recording function of the camera, and storing the key video clips to a special server of a park management center;
alarm information transmission unit: after confirming the abnormal situation, the unit automatically generates alarm information containing abnormal details and corresponding camera video links and sends the alarm information to park managers through a preset communication channel;
linkage strategy configuration interface: and (3) allowing park managers to preset the processing flow and linkage strategy of various abnormal conditions according to specific needs.
Further, the priority determining mechanism specifically includes:
anomaly type classifier: classifying the detected abnormal conditions into different types according to the real-time video analysis unit and the sensor data;
regional importance scoring system: scoring different areas in the park according to importance and security risks;
time sensitivity factor: consider that the abnormal situation worsens with time;
personnel density index: the number of people that may be present in the area is considered when prioritizing;
historical data reference module: optimizing the current priority setting by using the historical abnormal record and the processing result;
priority calculation engine: and integrating the factors, and calculating the integrated priority score through a predetermined algorithm model.
Further, the data processing unit further includes:
a multi-source data receiver: is responsible for receiving data from intelligent smoke sensors, intelligent temperature sensors, video linkage alarm modules and other intelligent sensors;
data cleaning and preprocessing sub-module: denoising, normalizing and standardizing the collected original data so as to facilitate subsequent analysis;
time series analyzer: processing time-dependent data specifically, including real-time output of the sensor;
anomaly detection algorithm library: the method comprises a plurality of algorithms for identifying abnormal behaviors or states, including a random forest and a support vector machine, and is used for quickly and accurately identifying the abnormality from various sensor data;
decision support sub-module: generating real-time management advice or alarm instructions according to the analysis result and preset rules or priority criteria;
real-time instrument panel display module: displaying the processed and analyzed data on a graphical instrument panel in real time;
interface and API integration module: the data processing unit is allowed to exchange and integrate data with other management systems of the campus to achieve more comprehensive management of the campus.
Further, the control unit further includes:
an input interface module: the intelligent sensor is responsible for receiving data and alarm information transmitted by the data processing unit, the video linkage alarm module and the intelligent sensor;
command distributor: according to the information received from the data processing unit and the video linkage alarm module, automatically or manually generating a corresponding control command;
intelligent device control interface: for communicating with various intelligent devices in the campus to execute control commands generated by the command distributor;
emergency response policy library: storing various predetermined emergency response schemes and control strategies, and carrying out customization and updating by park managers;
and the permission management module is used for: the system is used for controlling access and operation authorities of management personnel of different levels to functions of the control unit so as to ensure the safety of the system.
Further, the environment simulator module specifically includes:
data input interface: the intelligent sensor is used for receiving real-time information from intelligent smoke feeling, intelligent temperature feeling and other intelligent sensor operation data of the fire-fighting equipment;
building and geographic information databases: storing building structure, material properties, indoor layout and ventilation system information in the park;
dynamic flow field simulation engine: simulating a diffusion path of fire smoke and hot gas in the park by using a fluid dynamics algorithm based on the received fire equipment operation data and intelligent sensor data;
fire growth model: using a mathematical model based on physical and chemical reactions to simulate the growth and diffusion rate of a fire;
personnel and equipment impact analyzer: according to the fire spreading model and information such as personnel distribution, equipment positions and the like in the park, calculating the influence of the fire on personnel and equipment;
real-time visualization tool: the simulation result is displayed in real time in a three-dimensional graph or heat map mode, so that management staff can know the area and influence range where fire is likely to spread;
and a response strategy recommendation module: according to the simulation result, combining a pre-stored emergency response strategy library to generate an emergency response suggestion for a manager;
through the environmental simulator module, the information intelligent park management system can quickly and accurately simulate the diffusion path and the influence range of fire when fire or other emergency occurs. The system not only helps management personnel to make more timely and effective emergency response, but also provides powerful data support for analysis and prevention of fire accidents.
Further, the fluid dynamics algorithm comprises:
grid generator: three-dimensional meshing of the spatial structure in the campus is performed, including the interior and exterior environments of the building;
flow field initialization module: initializing simulated initial conditions according to data acquired from intelligent smoke sensors and intelligent temperature sensors in real time and state information acquired from fire-fighting equipment such as fire extinguishers and faucets;
boundary condition setter: setting simulated boundary conditions corresponding to various physical boundaries in the campus;
the solver: carrying out numerical solution by using a Navier-Stokes equation and an energy equation through a finite volume method, and simulating the flow and diffusion of hot gas and smoke in each grid;
turbulence model: simulating turbulence phenomenon in a flow field by using a k-epsilon model;
smoke and toxicity concentration calculation module: further calculating smoke density and toxic gas concentration based on the flow field simulation result;
real-time iterative optimizer: in the simulation process, new sensor data and fire-fighting equipment state information are received in real time, and simulation parameters and boundary conditions are dynamically adjusted so as to improve simulation accuracy.
Further, the real-time visualization tool includes:
three-dimensional map rendering engine: according to the data stored in the building and geographic information database, rendering a three-dimensional map model of the park in real time;
and a data fusion module: data fusion is carried out on the fire diffusion path and the influence area data generated by the simulation engine and the three-dimensional map so as to display the fire diffusion path and the influence area data in the same interface at the same time;
dynamic heat map generator: generating a dynamic heat map based on simulation data of the fire diffusion and the influence area; dynamic heat maps are used to represent smoke density, temperature, toxicity concentration parameters.
The invention has the beneficial effects that:
according to the intelligent monitoring system, through automatic real-time monitoring based on the intelligent sensor, the management efficiency of fire-fighting equipment and electricity safety in a park can be remarkably improved, the investment of manpower resources is reduced, and the inspection and monitoring accuracy is greatly improved.
According to the invention, by adopting intelligent smoke sensing and intelligent temperature sensing equipment, potential fire sources or overheat conditions can be found in time, and quick response is realized through the fire video linkage alarm module. In addition, the system provides an integrated data processing platform, solves the problem of data island, can integrate and analyze data from different departments or different places, and realizes comprehensive and systematic park safety management.
The system can simulate the diffusion path and the influence area of fire by utilizing a highly accurate fluid dynamics (CFD) algorithm, and provides timely and accurate data support for management personnel. Still further, the system includes real-time visualization tools that visually display the area and extent of the possible spread of fire in the form of three-dimensional graphics or heat maps, thereby providing more comprehensive information support for the manager to make more accurate decisions.
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In order to more clearly illustrate the invention or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only of the invention and that other drawings can be obtained from them without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of a management system according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an environmental simulator module according to an embodiment of the invention.
Detailed Description
The present invention will be further described in detail with reference to specific embodiments in order to make the objects, technical solutions and advantages of the present invention more apparent.
It is to be noted that unless otherwise defined, technical or scientific terms used herein should be taken in a general sense as understood by one of ordinary skill in the art to which the present invention belongs. The terms "first," "second," and the like, as used herein, do not denote any order, quantity, or importance, but rather are used to distinguish one element from another. The word "comprising" or "comprises", and the like, means that elements or items preceding the word are included in the element or item listed after the word and equivalents thereof, but does not exclude other elements or items. The terms "connected" or "connected," and the like, are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "upper", "lower", "left", "right", etc. are used merely to indicate relative positional relationships, which may also be changed when the absolute position of the object to be described is changed.
As shown in fig. 1-2, an informationized intelligent park management system comprises a plurality of intelligent sensors, intelligent smoke sensing and intelligent temperature sensing equipment, a video linkage alarm module, a data processing unit, a control unit and an environment simulator module, wherein,
the intelligent sensor is used for monitoring the running state of fire-fighting equipment (such as a fire extinguisher, a water tap, a fire alarm button and the like) in the park in real time;
the intelligent smoke sensing and intelligent temperature sensing equipment is used for monitoring the condition of fire source or overheat in the park in real time;
the video linkage alarm module is used for starting cameras in the park in real time to record video after detecting the fire source or overheat condition and sending alarm information to management staff;
the data processing unit is used for receiving and processing data sent by the intelligent sensor and the intelligent smoke sensing device;
the control unit is used for controlling fire-fighting equipment in the park according to the data processed by the data processing unit;
the environment simulator module can simulate a fire disaster diffusion path and an influence area according to the received fire fighting equipment operation data, intelligent smoke feeling and temperature feeling data, provide early warning for management personnel and provide a proposal strategy for coping with the fire disaster;
the modules communicate data in a wireless or wired mode and can be in seamless connection with the existing park management system.
The intelligent sensor specifically includes:
fire extinguisher status sensor: the device is arranged on each fire extinguisher and used for monitoring the pressure and the residual quantity of the chemical agent of the fire extinguisher in real time and has a positioning function so as to quickly find the nearest available fire extinguisher when needed;
tap flow and pressure sensor: the fire-fighting water faucet is arranged at the fire-fighting water faucet in the park and is used for monitoring the states of water flow and water pressure, and the sensor can send data in real time, so that the water faucet can provide enough water flow and pressure to extinguish fire in emergency;
fire alarm button condition sensor: the sensor is arranged on the fire alarm button and used for monitoring the working state of the button and whether the button is pressed down, and the sensor is also provided with a protection mechanism so as to prevent the fire alarm button from being pressed down or damaged maliciously;
fire elevator status sensor: for monitoring the operating status of the firefighting elevator, including elevator position, whether in use, and the operating condition of the emergency call system;
fire lights and sign status sensors: the system is used for monitoring the working states of fire-fighting lights and marks (such as indicator lights, exit marks and the like) so as to ensure that the fire-fighting lights and marks provide clear guidance for people evacuation in emergency;
intelligent gas detection sensor: the sensor is used for monitoring gas leakage which causes fire, collecting and analyzing the gas concentration in the air in real time, and triggering an alarm when the dangerous level is reached;
and a communication detection module: the system is used for detecting the communication states between the sensors and the data processing unit, so that the stability and the instantaneity of data transmission are ensured;
these intelligent sensors not only can work alone, but also can carry out information interaction with the data processing unit and the control unit, and through the design of highly integrating and the data exchange of multichannel, the comprehensive, careful real-time supervision to various fire-fighting equipment in the garden is realized.
The intelligent smoke sensing and intelligent temperature sensing device specifically comprises:
intelligent smoke sensor: the intelligent smoke sensor is arranged at each position of a park and used for detecting the smoke concentration in the air in real time, and the intelligent smoke sensor automatically adjusts the sensitivity according to environmental factors (such as humidity and temperature) so as to avoid false alarm;
intelligent temperature sensor: the intelligent temperature sensor is distributed in each area of the park and used for monitoring the ambient temperature, and the intelligent temperature sensor is used for analyzing the temperature change trend in real time, for example, the temperature rises sharply in a short time, so that the hidden danger of fire can be suggested. The algorithm integrated in the sensor can pre-judge the size and possible spreading trend of the fire source according to the temperature change rate;
an infrared thermal imaging module: the modules are used for carrying out thermal imaging scanning on specific areas in a park, particularly inflammable and explosive areas, and by detecting infrared radiation, the modules can monitor and generate thermal imaging images in real time in a dark environment so as to help management personnel to find abnormal heat sources before the fire sources form open fire;
and the linkage response module is used for: when the intelligent smoke sensor and the intelligent temperature sensor detect abnormal conditions, the module automatically starts a water spraying system, a fan or an alarm system connected with the intelligent smoke sensor and the intelligent temperature sensor to primarily control and isolate a fire source.
The vision screen linkage alarm module specifically comprises:
real-time video analysis unit: receiving real-time video streams of cameras in a park, wherein the unit is provided with an advanced image recognition algorithm for automatically detecting abnormal phenomena in the video, such as sparks, smoke or abnormal light sources;
priority judgment mechanism: when the real-time video analysis unit detects an abnormality, the mechanism automatically evaluates the severity and urgency of the abnormality and decides whether to activate an alarm according to a predetermined priority criterion;
remote control module: the park manager remotely accesses the real-time video stream of the camera through the remote control module mobile device or the computer, and manually adjusts the angle or focal length of the camera so as to more accurately judge the abnormal situation;
automatic video storage unit: when an abnormal condition is detected, starting a video recording function of the camera, and storing the key video segments to a special server of a park management center as a basis for follow-up investigation and analysis;
alarm information transmission unit: after confirming the abnormal situation, the unit can automatically generate alarm information containing abnormal details and corresponding camera video links, and send the alarm information to park management personnel through a preset communication channel (such as an email, a short message or a special application program);
linkage strategy configuration interface: allowing park managers to preset various abnormal situation treatment flows and linkage strategies according to specific needs, such as automatically starting a nearest fire extinguisher or a water spraying system after detecting a fire source;
through the components, the video linkage alarm module realizes the rapid and accurate detection of the fire source or overheat condition, timely starts the cameras in the park to record video, and sends alarm information to management staff in various forms so as to perform timely and effective emergency response.
The priority judging mechanism specifically includes:
anomaly type classifier: classifying the detected abnormal conditions into different types (such as smoke, flame, overheat and the like) according to the real-time video analysis unit and the sensor data;
regional importance scoring system: scoring different areas within a campus by their importance and security risks, e.g., chemical storage areas, power control rooms, etc., are considered high risk areas and therefore have higher priority;
time sensitivity factor: considering that the abnormal situation deteriorates with time (for example, the propagation speed of flame), the factor is used to adjust the priority according to the length of time elapsed after the occurrence of the abnormality;
personnel density index: the number of people that may be present in the area is considered when prioritizing;
historical data reference module: optimizing the current priority setting using the historical anomaly record and the processing results, for example, if false alarms occur frequently in the past in a certain area, the priority may be correspondingly reduced;
priority calculation engine: combining the above factors, calculating a combined priority score by a predetermined algorithm model, the score to be used in deciding whether to initiate an alarm, which emergency actions to initiate, and which administrators to notify;
by the priority judging mechanism, the video linkage alarm module can evaluate the urgency and importance of various abnormal conditions more accurately, so that emergency response and resource allocation can be performed more effectively.
The data processing unit further includes:
a multi-source data receiver: is responsible for receiving data from intelligent smoke sensors, intelligent temperature sensors, video linkage alarm modules and other intelligent sensors;
data cleaning and preprocessing sub-module: denoising, normalizing and standardizing the collected original data so as to facilitate subsequent analysis;
time series analyzer: specifically processing time-dependent data, including real-time output of the sensor, the analyzer can identify potential abnormal patterns or trends, such as rapid temperature rise over a short period of time;
anomaly detection algorithm library: the method comprises a plurality of algorithms for identifying abnormal behaviors or states, including a random forest and a support vector machine, and is used for quickly and accurately identifying the abnormality from various sensor data;
decision support sub-module: generating real-time management advice or alarm instructions according to the analysis result and preset rules or priority criteria;
real-time instrument panel display module: the processed and analyzed data are displayed on a graphical instrument panel in real time, so that management staff can conveniently know the safety condition of a park in real time;
interface and API integration module: allowing the data processing unit to exchange and integrate data with other management systems (such as access control, energy management and the like) of the park so as to realize more comprehensive park management;
the data processing unit not only automatically and efficiently processes a large amount of data collected from a plurality of sources, but also extracts useful information and holes from the data, thereby providing strong support for the safety management of a park. At the same time, its flexible interface and highly configurable settings also enable it to easily adapt to specific needs and operating modes of different campuses.
The control unit further includes:
an input interface module: the intelligent sensor is responsible for receiving data and alarm information transmitted by the data processing unit, the video linkage alarm module and the intelligent sensor;
command distributor: according to the information received from the data processing unit and the video linkage alarm module, corresponding control commands are automatically or manually generated, and the commands can be used for starting or closing a certain fire-fighting device or activating a certain emergency response scheme;
intelligent device control interface: for communicating with various intelligent devices in the campus to execute control commands generated by the command distributor;
emergency response policy library: storing various predetermined emergency response schemes and control strategies, and carrying out customization and updating by park managers;
and the permission management module is used for: the system is used for controlling the access and operation authorities of management personnel of different levels to the functions of the control unit so as to ensure the safety of the system;
through this control unit, the intelligent garden management system of informatization can realize the centralized and intelligent control to various fire control and safety device in the garden to emergency response's speed and accuracy have been improved greatly. The control unit also supports a high degree of customization and extensibility, enabling it to accommodate a variety of different scales and types of campuses.
The environment simulator module specifically comprises:
data input interface: the intelligent sensor is used for receiving real-time information from intelligent smoke feeling, intelligent temperature feeling and other intelligent sensor operation data of the fire-fighting equipment;
building and geographic information databases: storing building structure, material properties, indoor layout and ventilation system information in the park;
dynamic flow field simulation engine: simulating a diffusion path of fire smoke and hot gas in the campus using a fluid dynamics (CFD) algorithm based on the received fire equipment operation data and intelligent sensor data;
fire growth model: using mathematical models based on physical and chemical reactions to simulate the growth and diffusion rate of fire, taking into account fuel type, oxygen concentration and temperature factors;
personnel and equipment impact analyzer: according to the fire spreading model and information such as personnel distribution, equipment positions and the like in the park, calculating the influence of the fire on personnel and equipment;
real-time visualization tool: the simulation result is displayed in real time in a three-dimensional graph or heat map mode, so that management staff can know the area and influence range where fire is likely to spread;
and a response strategy recommendation module: according to the simulation result, combining a pre-stored emergency response strategy library to generate emergency response suggestions for management personnel, such as evacuation routes, which fireproof doors are closed or which fire extinguishing devices are started;
through the environmental simulator module, the information intelligent park management system can quickly and accurately simulate the diffusion path and the influence range of fire when fire or other emergency occurs. The system not only helps management personnel to make more timely and effective emergency response, but also provides powerful data support for analysis and prevention of fire accidents.
The fluid dynamics (CFD) algorithm includes:
grid generator: three-dimensional meshing of spatial structures within a campus, including building interiors and exteriors, for use as a basis for fluid dynamic (CFD) simulation;
flow field initialization module: initializing simulated initial conditions, such as initial temperature, pressure and velocity fields, based on data obtained from intelligent smoke and temperature sensors in real time, and status information obtained from fire-fighting equipment, such as fire extinguishers and faucets;
boundary condition setter: setting simulated boundary conditions corresponding to various physical boundaries in the campus, such as heat transfer coefficients of walls, opening and closing states of windows and doors;
the solver: carrying out numerical solution by using a Navier-Stokes equation and an energy equation through a finite volume method, and simulating the flow and diffusion of hot gas and smoke in each grid;
turbulence model: simulating turbulence phenomenon in a flow field by using a k-epsilon model;
smoke and toxicity concentration calculation module: further calculating smoke density and toxic gas concentration based on the flow field simulation result;
real-time iterative optimizer: in the simulation process, new sensor data and fire-fighting equipment state information are received in real time, and simulation parameters and boundary conditions are dynamically adjusted so as to improve simulation accuracy;
the dynamic flow field simulation engine can accurately simulate the diffusion paths of hot gas and smoke in a fire disaster by applying a highly accurate fluid dynamics (CFD) algorithm, so that scientific basis is provided for an emergency response strategy, the accuracy and timeliness of fire disaster response in a park are remarkably improved, the module also has high instantaneity and self-adaptation capability, and the simulation result can be dynamically optimized according to real-time data.
The real-time visualization tool includes:
three-dimensional map rendering engine: according to the data stored in the building and geographic information database, rendering a three-dimensional map model of the park in real time;
and a data fusion module: data fusion is carried out on the fire diffusion path and the influence area data generated by the simulation engine and the three-dimensional map so as to display the fire diffusion path and the influence area data in the same interface at the same time;
dynamic heat map generator: generating a dynamic heat map based on simulation data of the fire diffusion and the influence area; the dynamic heat map is used for representing smoke density, temperature and toxicity concentration parameters;
through the real-time visualization tool, a manager can intuitively know the diffusion path and the influence range of fire, deeply analyze and understand various conditions when a fire occurs, greatly improve the efficiency and the accuracy of fire emergency response, and simultaneously provide powerful data support for post analysis and training summary.
Those of ordinary skill in the art will appreciate that: the discussion of any of the embodiments above is merely exemplary and is not intended to suggest that the scope of the invention is limited to these examples; the technical features of the above embodiments or in the different embodiments may also be combined within the idea of the invention, the steps may be implemented in any order and there are many other variations of the different aspects of the invention as described above, which are not provided in detail for the sake of brevity.
The present invention is intended to embrace all such alternatives, modifications and variances which fall within the broad scope of the appended claims. Therefore, any omission, modification, equivalent replacement, improvement, etc. of the present invention should be included in the scope of the present invention.

Claims (10)

1. An informationized intelligent park management system is characterized by comprising a plurality of intelligent sensors, intelligent smoke sensing and intelligent temperature sensing equipment, a video linkage alarm module, a data processing unit, a control unit and an environment simulator module, wherein,
the intelligent sensor is used for monitoring the operation state of fire-fighting equipment in the park in real time;
the intelligent smoke sensing and intelligent temperature sensing equipment is used for monitoring the condition of fire source or overheat in the park in real time;
the video linkage alarm module is used for starting cameras in the park in real time to record videos after detecting a fire source or overheat condition and sending alarm information to management staff;
the data processing unit is used for receiving and processing data sent by the intelligent sensor and the intelligent smoke sensing device;
the control unit is used for controlling fire-fighting equipment in the park according to the data processed by the data processing unit;
the environment simulator module can simulate a fire disaster diffusion path and an influence area according to the received fire fighting equipment operation data, intelligent smoke feeling and temperature feeling data, provide early warning for management staff and provide a proposal strategy for coping with the fire disaster.
2. The informationized intelligent campus management system of claim 1, wherein said intelligent sensor comprises in particular:
fire extinguisher status sensor: the device is arranged on each fire extinguisher and used for monitoring the pressure and the residual quantity of the chemical agent of the fire extinguisher in real time and has a positioning function so as to quickly find the nearest available fire extinguisher when needed;
tap flow and pressure sensor: the fire water faucet is arranged at the fire water faucet in the park and is used for monitoring the states of water flow and water pressure;
fire alarm button condition sensor: the fire alarm button is arranged on the fire alarm button and used for monitoring the working state of the button and whether the button is pressed down or not;
fire elevator status sensor: for monitoring the operating status of the firefighting elevator, including elevator position, whether in use, and the operating condition of the emergency call system;
fire lights and sign status sensors: the system is used for monitoring the working states of the fire-fighting lights and the marks, and ensuring that the fire-fighting lights and the marks provide clear guidance for people evacuation in emergency;
intelligent gas detection sensor: the sensor is used for monitoring gas leakage which causes fire, collecting and analyzing the gas concentration in the air in real time, and triggering an alarm when the dangerous level is reached;
and a communication detection module: the method is used for detecting the communication states between the various sensors and the data processing unit, and ensures the stability and instantaneity of data transmission.
3. The system of claim 2, wherein the intelligent sensory-smoke and intelligent-temperature-sensing device comprises:
intelligent smoke sensor: the intelligent smoke sensor is arranged at each position of a park and used for detecting the smoke concentration in the air in real time, and the sensitivity of the intelligent smoke sensor is automatically adjusted according to environmental factors so as to avoid false alarm;
intelligent temperature sensor: the intelligent temperature sensors are distributed in each area of the park and used for monitoring the ambient temperature and analyzing the temperature change trend in real time;
an infrared thermal imaging module: for thermally imaging scans of specific areas within a campus, in particular flammable and explosive areas;
and the linkage response module is used for: when the intelligent smoke sensor and the intelligent temperature sensor detect abnormal conditions, the module automatically starts a water spraying system, a fan or an alarm system connected with the intelligent smoke sensor and the intelligent temperature sensor to primarily control and isolate a fire source.
4. The informationized intelligent campus management system according to claim 3, wherein the video linkage alarm module specifically comprises:
real-time video analysis unit: receiving real-time video streams of cameras in a park, wherein the unit is provided with an advanced image recognition algorithm, and automatically detecting abnormal phenomena in the video;
priority judgment mechanism: when the real-time video analysis unit detects an abnormality, the mechanism automatically evaluates the severity and urgency of the abnormality and decides whether to activate an alarm according to a predetermined priority criterion;
remote control module: the park manager remotely accesses the real-time video stream of the camera through the remote control module mobile device or the computer, and manually adjusts the angle or focal length of the camera so as to more accurately judge the abnormal situation;
automatic video storage unit: when an abnormal condition is detected, starting a video recording function of the camera, and storing the key video clips to a special server of a park management center;
alarm information transmission unit: after confirming the abnormal situation, the unit automatically generates alarm information containing abnormal details and corresponding camera video links and sends the alarm information to park managers through a preset communication channel;
linkage strategy configuration interface: and (3) allowing park managers to preset the processing flow and linkage strategy of various abnormal conditions according to specific needs.
5. The system of claim 4, wherein the priority determination mechanism comprises:
anomaly type classifier: classifying the detected abnormal conditions into different types according to the real-time video analysis unit and the sensor data;
regional importance scoring system: scoring different areas in the park according to importance and security risks;
time sensitivity factor: consider that the abnormal situation worsens with time;
personnel density index: the number of people that may be present in the area is considered when prioritizing;
historical data reference module: optimizing the current priority setting by using the historical abnormal record and the processing result;
priority calculation engine: and integrating the factors, and calculating the integrated priority score through a predetermined algorithm model.
6. The information-based intelligent campus management system according to claim 5, wherein the data processing unit further comprises:
a multi-source data receiver: is responsible for receiving data from intelligent smoke sensors, intelligent temperature sensors, video linkage alarm modules and other intelligent sensors;
data cleaning and preprocessing sub-module: denoising, normalizing and standardizing the collected original data so as to facilitate subsequent analysis;
time series analyzer: processing time-dependent data specifically, including real-time output of the sensor;
anomaly detection algorithm library: the method comprises a plurality of algorithms for identifying abnormal behaviors or states, including a random forest and a support vector machine, and is used for quickly and accurately identifying the abnormality from various sensor data;
decision support sub-module: generating real-time management advice or alarm instructions according to the analysis result and preset rules or priority criteria;
real-time instrument panel display module: displaying the processed and analyzed data on a graphical instrument panel in real time;
interface and API integration module: the data processing unit is allowed to exchange and integrate data with other management systems of the campus to achieve more comprehensive management of the campus.
7. The informationized intelligent campus management system of claim 6, wherein the control unit further comprises:
an input interface module: the intelligent sensor is responsible for receiving data and alarm information transmitted by the data processing unit, the video linkage alarm module and the intelligent sensor;
command distributor: according to the information received from the data processing unit and the video linkage alarm module, automatically or manually generating a corresponding control command;
intelligent device control interface: for communicating with various intelligent devices in the campus to execute control commands generated by the command distributor;
emergency response policy library: storing various predetermined emergency response schemes and control strategies, and carrying out customization and updating by park managers;
and the permission management module is used for: the system is used for controlling access and operation authorities of management personnel of different levels to functions of the control unit so as to ensure the safety of the system.
8. The system of claim 7, wherein the environment simulator module comprises:
data input interface: the intelligent sensor is used for receiving real-time information from intelligent smoke feeling, intelligent temperature feeling and other intelligent sensor operation data of the fire-fighting equipment;
building and geographic information databases: storing building structure, material properties, indoor layout and ventilation system information in the park;
dynamic flow field simulation engine: simulating a diffusion path of fire smoke and hot gas in the park by using a fluid dynamics algorithm based on the received fire equipment operation data and intelligent sensor data;
fire growth model: using a mathematical model based on physical and chemical reactions to simulate the growth and diffusion rate of a fire;
personnel and equipment impact analyzer: according to the fire spreading model and information such as personnel distribution, equipment positions and the like in the park, calculating the influence of the fire on personnel and equipment;
real-time visualization tool: the simulation result is displayed in real time in a three-dimensional graph or heat map mode, so that management staff can know the area and influence range where fire is likely to spread;
and a response strategy recommendation module: and according to the simulation result, combining a pre-stored emergency response strategy library to generate an emergency response suggestion for the manager.
9. The informationized intelligent campus management system of claim 8, wherein the fluid dynamics algorithm comprises:
grid generator: three-dimensional meshing of the spatial structure in the campus is performed, including the interior and exterior environments of the building;
flow field initialization module: initializing simulated initial conditions according to data acquired from intelligent smoke sensors and intelligent temperature sensors in real time and state information acquired from fire-fighting equipment such as fire extinguishers and faucets;
boundary condition setter: setting simulated boundary conditions corresponding to various physical boundaries in the campus;
the solver: carrying out numerical solution by using a Navier-Stokes equation and an energy equation through a finite volume method, and simulating the flow and diffusion of hot gas and smoke in each grid;
turbulence model: simulating turbulence phenomenon in a flow field by using a k-epsilon model;
smoke and toxicity concentration calculation module: further calculating smoke density and toxic gas concentration based on the flow field simulation result;
real-time iterative optimizer: in the simulation process, new sensor data and fire-fighting equipment state information are received in real time, and simulation parameters and boundary conditions are dynamically adjusted so as to improve simulation accuracy.
10. The informationized intelligent campus management system of claim 8, wherein the real-time visualization tool comprises:
three-dimensional map rendering engine: according to the data stored in the building and geographic information database, rendering a three-dimensional map model of the park in real time;
and a data fusion module: data fusion is carried out on the fire diffusion path and the influence area data generated by the simulation engine and the three-dimensional map so as to display the fire diffusion path and the influence area data in the same interface at the same time;
dynamic heat map generator: generating a dynamic heat map based on simulation data of the fire diffusion and the influence area; dynamic heat maps are used to represent smoke density, temperature, toxicity concentration parameters.
CN202311256779.9A 2023-09-26 2023-09-26 Informationized intelligent park management system Pending CN117221361A (en)

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