CN113095959A - Design method of scenic spot fire safety information system - Google Patents
Design method of scenic spot fire safety information system Download PDFInfo
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Abstract
The invention relates to a design method of a scenic spot fire safety information system, wherein the system comprises a mobile front end, a detection device, a data server and a rear end information management system; the on-duty personnel log in through the mobile front end and send the equipment security check information into the data server; the detection equipment sends environmental security inspection data to the data server, the data server manages the data in real time, the data server records and predicts people stream distribution of scenic spots in real time according to information uploaded by the detection equipment, when fire accident information is identified, an early warning signal is sent to a rear-end information management system, an optimal evacuation route for avoiding congestion is planned by adopting an improved A-x algorithm, and an evacuation route scheme is generated and sent to a mobile front end. The back-end information management system acquires specific information of the data server to perform daily fire safety data management, and the back-end management personnel issue specific instructions to the on-duty personnel to perform maintenance of fire safety equipment or treatment of fire accidents according to the information of the information management system.
Description
Technical Field
The invention relates to a management technology, in particular to a design method of a scenic spot fire safety information system.
Background
With the development of information technology, hardware facilities and software are more and more closely connected, a single information management system is difficult to deal with complex real problems, and the capability of processing the real problems of the information system can be expanded through the technology of the internet of things. Through settling people flow check out test set in the scenic spot, reach data analysis to data server through wireless device with the visitor's quantity of statistics, fire control equipment such as installation temperature, smoke transducer is connected to data server simultaneously, reaches the effect of thing antithetical couplet, combines to remove front end software and rear end information management system again, makes the effect of the linkage of personnel on duty and managers reach.
The rise of artificial intelligence, reality has many application dimensions, but the application in the aspect of fire safety is not extensive, and key technology machine learning is introduced into a data server for scenic spot people flow prediction, so that the scenic spot fire early warning capability can be improved.
The traditional path planning algorithm is used for searching the shortest path, but neglects the problem of path congestion, and cannot achieve the effect of rapidness and orderliness in the evacuation of real scenic spots. The method is improved based on the traditional algorithm, and the path congestion factor is considered, so that the method is more suitable for the actual situation and achieves a better evacuation effect.
Disclosure of Invention
Aiming at the problem of intelligent management of fire safety in scenic spots, a design method of a scenic spot fire safety information system is provided.
The technical scheme of the invention is as follows: a design method of a scenic spot fire safety information system comprises a mobile front end, a detection device, a data server and a rear end information management system; the on-duty personnel logs in through the mobile front end and sends information to the data server; the detection equipment sends the detection data to a data server; the data server processes the data in real time, records and predicts people stream distribution of scenic spots in real time according to information uploaded by the detection equipment, sends an early warning signal to a rear-end information management system when fire accident information is identified, and generates an evacuation path scheme and sends the evacuation path scheme to a mobile front end; the back-end information management system acquires specific information of the data server to perform daily fire safety data management, and back-end management personnel send a data output instruction according to information analysis of the back-end information management system into the mobile front end through the data server and issue specific instructions to on-duty personnel to perform maintenance of fire safety equipment or treatment of fire accidents.
Preferably, daily fire safety inspection of scenic spot fire safety information system: the scenic spot duty personnel overhaul the electrical equipment, get rid of the power distribution system fault, check the security state of the adjacent power line, after the check, the individual logs in the mobile front end through the password or the face information, and fills up the security overhaul state of the electrical equipment; the management personnel check the updating state of the electric equipment at the position through the back-end information management system, check the safety states of the fire fighting equipment at other positions at the same time, and send a message to the mobile front end through the back-end information management system to inform the on-duty personnel of updating when equipment upgrading information exists; wireless people flow detection equipment is arranged at each subarea channel of the scenic spot, the data server continuously collects people flow information uploaded by the equipment, and the data is analyzed according to a prediction model established by machine learning, so that people flow distribution diagrams of future scenic spots are generated and returned to a back-end information management system for being checked by managers, and the staff on duty are reasonably arranged.
Preferably, the fire sensor adopts smoke and temperature sensors, and sensor signals are uploaded to a data server in real time; the mobile front-end and back-end information management systems communicate through a data server; when a fire disaster happens at a certain position, the data server receives a fire disaster signal and transmits the fire disaster signal to the mobile front end, the on-duty personnel check the fire condition before receiving the early warning signal through the mobile front end, the fire extinguishing or evacuation work is carried out, and if evacuation is needed, orderly evacuation is carried out according to the optimal evacuation path acquired from the data server by the mobile front end.
Preferably, the optimal evacuation path is generated by using an optimization a-x algorithm, and the specific method is as follows: the algorithm formula is expressed as: f (n) ═ g (n) + h (n); where F (n) is the cost estimate from the initial state to the target state via state n; g (n) is the actual cost in state space from the initial state to state n; h (n) is the estimated cost of the best path from state n to the target state; introducing a people flow density weight parameter w into g (n), h (n) to optimize the path searching capability, wherein w is x/c, x is a people flow density stage, and c is a maximum people flow density stage;
wherein i is the number of the road sections which are already walked, and j is the number of the road sections which are to be walked; w (i), w (j) is the weight of the corresponding road section, d (i) is the actual path length of the corresponding road section, d (j) is the chebyshev distance of the corresponding road section, the chebyshev distance: the coordinates of the two points are (x)1,y1) And (x)2,y2) Then its Chebyshev distance is max (| x)2-x1|,|y2-y1|)。
The invention has the beneficial effects that: the design method of the scenic spot fire safety information system carries out statistical analysis on the people flow information collected by scenic spot equipment, can predict the people flow distribution of the future scenic spots, reasonably distributes the on-duty personnel and prevents potential safety hazards; for the people flow information collected in real time, an improved A-star algorithm is adopted to plan the optimal evacuation route for avoiding congestion to deal with the sudden fire-fighting accident, so that the effect of safe evacuation is achieved.
Drawings
FIG. 1 is a block diagram of a scenic spot fire safety information system according to the present invention;
FIG. 2 is a flow chart of the normal operation of the fire safety information system of the scenic spot of the present invention;
FIG. 3 is a flow chart of the work of the scenic spot fire safety information system during fire alarm.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments. The present embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation manner and a specific operation process are given, but the scope of the present invention is not limited to the following embodiments.
As shown in fig. 1, the scenic spot fire safety information system includes a mobile front end, a detection device, a data server, and a back end information management system. The on-duty personnel logs in the mobile front end and sends personal information, maintenance information and the like to the data server, the detection equipment sends detection data to the data server, the data server processes the data in real time, the back-end information management system acquires specific information of the data server to carry out data management, and the back-end management personnel inquire or issue information through the back-end information management system. The data server records and predicts people stream distribution of scenic spots in real time according to information uploaded by the detection equipment, when fire accident information is identified, early warning signals are sent to a rear-end information management system, meanwhile, an evacuation path scheme is generated and sent to the mobile front-end software, and rear-end management personnel issue specific instructions to the on-duty personnel to handle the fire accidents through front-end movement according to information fed back by the data server.
As shown in fig. 2, the work flow chart of the scenic spot fire safety information system under normal conditions, daily fire safety inspection of scenic spots: and (4) the scenic spot duty personnel overhaul the electrical equipment, remove the faults of the power distribution system, check the safety state of the adjacent power lines and finish the check. And an individual logs in the mobile front end through a password or face information to fill in the safe maintenance state of the electrical equipment at the position. The manager checks the updating state of the electrical equipment through the back-end information management system, checks the safety state of the fire fighting equipment at other positions, and notifies the on-duty personnel to update the equipment updating information at the back-end information position. Wireless people flow detection equipment is arranged at each subarea channel of the scenic spot, the data server continuously collects people flow information uploaded by the equipment, and the data is analyzed according to a prediction model established by machine learning to generate a people flow distribution diagram of a future scenic spot for a manager to check and reasonably arrange on-duty personnel.
As shown in fig. 3, the work flow chart of the fire alarm of the fire safety information system in the scenic spot, the sudden fire in the scenic spot: and when a fire breaks out at a certain part of the scenic spot, the data server analyzes an optimal evacuation route according to the scenic spot people flow distribution condition and the improved A-algorithm and transmits the optimal evacuation route to the mobile front end, and the duty personnel command tourists to evacuate orderly according to the evacuation route provided by the equipment.
The fire sensor adopts smoke and temperature sensors, and communicates with the data server in real time to upload information. The mobile front-end software and the back-end information management system communicate through the data server. Smoke, temperature sensors and people stream detection equipment are arranged for fire fighting in scenic spots, when a fire disaster happens in a certain place, an early warning signal is generated, a worker checks the fire situation before receiving a message notice through a mobile front end, the worker takes the work of fire extinguishing or evacuation, and if evacuation is needed, the worker conducts command evacuation according to an escape route automatically planned by a data server. The data server collects the passenger volume distribution data daily based on the passenger flow detection equipment and generates a prediction distribution graph, and managers can check and reasonably arrange the distribution condition of the staff on duty. When a fire disaster occurs at a certain position, the data server center plans an evacuation path according to the improved A-x algorithm and feeds the evacuation path back to the mobile front end, and the auxiliary duty personnel direct the orderly evacuation of the tourists. In addition, the mobile front end is internally provided with fire safety guide information, local area network calling and other functions. During daily duty, the staff can check the equipment safety condition by using the software, report the fire fighting and electrical equipment maintenance conditions, and report the repair progress, safety state and fault state. The back-end information management system monitors and inquires the information of each electric and fire-fighting device, can inquire the latest safe overhaul condition of the device and issue an overhaul command, and the staff receives the overhaul notice and carries out safe overhaul on the administrative region. The function of the back-end information management system in the process is to issue commands, the mobile front-end receives and executes the commands, and then the completion state is reported.
Designing and optimizing an A algorithm: the A algorithm belongs to a heuristic search algorithm, and the formula is expressed as follows: f (n) ═ g (n) + h (n). Where f (n) is the cost estimate from the initial state to the target state via state n, g (n) is the actual cost from the initial state to state n in the state space, and h (n) is the estimated cost of the best path from state n to the target state. h (n) often adopts Euclidean distance, Manhattan distance and Chebyshev distance, and has good capability of avoiding barriers and searching shortest paths. But under the condition of fire safety evacuation, the evacuation system does not have the capability of avoiding congestion, so that the pedestrian flow density weight parameter is introduced to optimize the routing capability of the evacuation system and plan the evacuation path for avoiding congestion.
And introducing a weight parameter w, wherein w is x/c, x is a people flow density series, and c is a maximum people flow density series.
Wherein i is the number of the road sections which are already walked, and j is the number of the road sections which are to be walked. w (i), w (j) is the weight of the corresponding road section, d (i) is the actual path length of the corresponding road section, D (j) is the Chebyshev distance of the corresponding road section, the Chebyshev distance: the distance between two points is defined as the maximum value of the absolute value of the difference between the coordinate values, and is expressed by (x)1,y1) And (x)2,y2) Two points for example, with a Chebyshev distance max (| x)2-x1|,|y2-y1|)。
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (4)
1. A design method of a scenic spot fire safety information system is characterized in that the scenic spot fire safety information system comprises a mobile front end, a detection device, a data server and a rear end information management system; the on-duty personnel logs in through the mobile front end and sends information to the data server; the detection equipment sends the detection data to a data server; the data server processes the data in real time, records and predicts people stream distribution of scenic spots in real time according to information uploaded by the detection equipment, sends an early warning signal to a rear-end information management system when fire accident information is identified, and generates an evacuation path scheme and sends the evacuation path scheme to a mobile front end; the back-end information management system acquires specific information of the data server to perform daily fire safety data management, and back-end management personnel send a data output instruction according to information analysis of the back-end information management system into the mobile front end through the data server and issue specific instructions to on-duty personnel to perform maintenance of fire safety equipment or treatment of fire accidents.
2. The design method of the scenic spot fire safety information system according to claim 1, wherein the scenic spot fire safety information system daily fire safety inspection: the scenic spot duty personnel overhaul the electrical equipment, get rid of the power distribution system fault, check the security state of the adjacent power line, after the check, the individual logs in the mobile front end through the password or the face information, and fills up the security overhaul state of the electrical equipment; the management personnel check the updating state of the electric equipment at the position through the back-end information management system, check the safety states of the fire fighting equipment at other positions at the same time, and send a message to the mobile front end through the back-end information management system to inform the on-duty personnel of updating when equipment upgrading information exists; wireless people flow detection equipment is arranged at each subarea channel of the scenic spot, the data server continuously collects people flow information uploaded by the equipment, and the data is analyzed according to a prediction model established by machine learning, so that people flow distribution diagrams of future scenic spots are generated and returned to a back-end information management system for being checked by managers, and the staff on duty are reasonably arranged.
3. The design method of the scenic spot fire safety information system according to claim 2, wherein the fire sensor is a smoke sensor or a temperature sensor, and sensor signals are uploaded to a data server in real time; the mobile front-end and back-end information management systems communicate through a data server; when a fire disaster happens at a certain position, the data server receives a fire disaster signal and transmits the fire disaster signal to the mobile front end, the on-duty personnel check the fire condition before receiving the early warning signal through the mobile front end, the fire extinguishing or evacuation work is carried out, and if evacuation is needed, orderly evacuation is carried out according to the optimal evacuation path acquired from the data server by the mobile front end.
4. The design method of the scenic spot fire safety information system according to claim 3, wherein the optimal evacuation path is generated by using an optimization A-x algorithm, and the specific method is as follows:
the algorithm formula is expressed as: f (n) ═ g (n) + h (n); where F (n) is the cost estimate from the initial state to the target state via state n; g (n) is the actual cost in state space from the initial state to state n; h (n) is the estimated cost of the best path from state n to the target state; introducing a people flow density weight parameter w into g (n), h (n) to optimize the path searching capability, wherein w is x/c, x is a people flow density stage, and c is a maximum people flow density stage;
wherein i is the number of the road sections which are already walked, and j is the number of the road sections which are to be walked; w (i), w (j) is the weight of the corresponding road section, d (i) is the actual path length of the corresponding road section, d (j) is the chebyshev distance of the corresponding road section, the chebyshev distance: the coordinates of the two points are (x)1,y1) And (x)2,y2) Then its Chebyshev distance is max (| x)2-x1|,|y2-y1|)。
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116934555A (en) * | 2023-09-04 | 2023-10-24 | 福建恒智信息技术有限公司 | Security and elimination integrated management method and device based on Internet of things |
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| CN108449719A (en) * | 2018-03-22 | 2018-08-24 | 安徽八六物联科技有限公司 | Stream of people's statistic device of tourist attraction |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116934555A (en) * | 2023-09-04 | 2023-10-24 | 福建恒智信息技术有限公司 | Security and elimination integrated management method and device based on Internet of things |
| CN116934555B (en) * | 2023-09-04 | 2023-11-24 | 福建恒智信息技术有限公司 | Security and elimination integrated management method and device based on Internet of things |
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