Visual alarm receiving management system and method

Abstract

The invention relates to a visual alarm receiving management system and method, and belongs to the technical field of fire fighting. The visual alarm receiving management system comprises an alarm receiving module, a data analysis module, a visualization module and a management module; the alarm receiving module is used for receiving the fire alarm and obtaining fire information based on the fire alarm; the data analysis module is used for collecting fire scene data based on the fire information and analyzing and predicting fire risks based on the fire scene data so as to determine fire types and potential risk points; the visualization module is used for displaying fire information, fire types and potential risk points in real time; and the management module is used for formulating a fire rescue scheme based on the fire information, the fire type and the potential risk point, managing a fire rescue site based on the fire rescue scheme, and avoiding missing a key opportunity of fire rescue.

Description

Technical Field

[0001] The present invention relates to the field of fire protection technology, and in particular to a visual alarm management system and method. Background Art

[0002] Fire alarm management is an important part of firefighting work, which is directly related to the timely response and effective disposal of fires. The main contents of fire alarm management include: alarm inquiry: the alarm receiver needs to inquire in detail about the situation at the fire scene, including the location of the fire, the size of the fire, whether there are people trapped, etc., in order to accurately judge the fire situation and quickly dispatch rescue forces; graded response: formulate corresponding response measures according to the different levels of the fire situation. For major fires, it is necessary to immediately activate high-level emergency plans and mobilize more rescue resources; on-site report: the alarm receiver needs to keep in close contact with the on-site commander, keep abreast of the on-site situation, and adjust the rescue plan as needed; force allocation: reasonably allocate rescue forces according to the fire situation and on-site conditions to ensure the effective implementation of rescue work.

[0003] When conducting data analysis, traditional fire rescue does not collect sufficient data on site, resulting in inaccurate and in-time analysis of fire risks, and easily missing the critical moment of fire rescue. Summary of the invention

[0004] In view of this, it is necessary to provide a visual alarm management system and method to solve the technical problem that the analysis of fire risks during fire rescue is not accurate and timely enough, and the critical moment of fire rescue is easily missed.

[0005] In order to solve the above problems, the present invention provides a visual alarm management system, which includes an alarm receiving module, a data analysis module, a visualization module, and a management module; The alarm receiving module is used to receive a fire alarm and obtain fire information based on the fire alarm; The data analysis module is used to collect fire scene data based on fire information, and analyze and predict fire risks based on the fire scene data to determine the fire type and potential risk points; The visualization module is used to display the fire information, fire type and potential risk points in real time; The management module is used to formulate a fire rescue plan based on the fire information, fire type and potential risk points, and manage the fire rescue scene based on the fire rescue plan.

[0006] In a possible implementation, the alarm receiving module includes an alarm receiving unit; The alarm receiving unit is used to receive fire alarms and obtain fire information based on the fire alarms, wherein the fire information includes basic information of the alarmist, fire geographical location information, fire situation description information, and escape and rescue information.

[0007] In a possible implementation, the data analysis module includes a data acquisition unit, an analysis unit, and a prediction unit; The data acquisition unit is used to collect fire scene data through sensors and monitoring equipment based on fire information, wherein the fire scene data includes fire image data, status data of fire fighting facilities, meteorological data, data of crowded areas, smoke, temperature, and light; The analysis unit is used to analyze the fire scene data to determine the fire type; The prediction unit is used to construct an LSTM network, and predict the fire spread trend based on the LSTM network and the fire scene data to determine potential risk points.

[0008] In a possible implementation, the fire types include Class A, Class B, Class C, Class D, Class E, and Class F fires.

[0009] In a possible implementation, predicting the fire spread trend based on the LSTM network and the fire scene data to determine potential risk points includes: Acquire historical fire data, construct an LSTM network, and train the LSTM network based on the historical fire data to obtain a fully trained LSTM network; Based on the well-trained LSTM network and the fire scene data, the fire spread trend is predicted to determine potential risk points.

[0010] In a possible implementation, the visualization module includes a warning situation display unit and a firefighting facility display unit; The alarm display unit is used to display the fire information, fire type and potential risk points in real time; The fire-fighting facility display unit is used to monitor the operating status of the fire-fighting facility in real time and to display the location, distribution and direction of the fire-fighting facility.

[0011] In a possible implementation, the management module includes an evaluation unit, a plan formulation unit, an operator management unit, and a fire protection facility management unit; The evaluation unit is used to evaluate the fire situation based on the fire information, fire type and potential risk points to determine the fire scale, fire development trend and fire impact range; The plan formulation unit is used to formulate a fire rescue plan based on the fire information, fire type and potential risk points; The worker management unit is used to manage the workers at the fire scene based on the fire rescue plan; The firefighting facility management unit is used to dispatch firefighting facilities based on the fire rescue plan.

[0012] In one possible implementation, the fire rescue plan includes fire area division, route planning, operator scheduling, fire fighting facility scheduling, evacuation plan, and rescue work scheduling.

[0013] On the other hand, the present invention also provides a visual alarm management method, which is implemented by the visual alarm management system as described above, and comprises the following steps: receiving a fire alarm based on the alarm receiving module, and obtaining fire information based on the fire alarm; The data analysis module collects fire scene data based on fire information, and analyzes and predicts fire risks based on the fire scene data to determine the fire type and potential risk points; Based on the visualization module, the fire information, fire type and potential risk points are displayed in real time; Based on the management module, a fire rescue plan is formulated based on the fire information, fire type and potential risk points, and the fire rescue scene is managed based on the fire rescue plan.

[0014] In a possible implementation, the managing the fire rescue scene based on the fire rescue plan includes: Determine the firefighting area, firefighting personnel, firefighting facilities and rescue routes based on the fire rescue plan; Firefighting personnel and firefighting facilities are dispatched based on the rescue path to extinguish the fire.

[0015] The beneficial effects of the present invention are as follows: the visual alarm management system includes an alarm module, a data analysis module, a visualization module, and a management module. The data analysis module collects fire scene data to obtain diversified data at the fire scene. The fire risk is analyzed and predicted based on the fire scene data to determine the fire type and potential risk points, thereby improving the accuracy and timeliness of the fire risk analysis. The visualization module displays fire information, fire type and potential risk points in real time, and reflects the fire spread status in a timely and accurate manner. The management module formulates a fire rescue plan and manages the fire rescue scene to avoid missing the critical opportunity for fire rescue. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1A schematic diagram of the structure of an embodiment of the visual alarm management system provided by the present invention; Figure 2 A schematic diagram of the structure of an embodiment of an alarm receiving module of the visual alarm receiving management system provided by the present invention; Figure 3 A schematic diagram of the structure of a data analysis module of a visual alarm management system provided by the present invention; Figure 4 A schematic diagram of the structure of an embodiment of a visualization module of a visualization alarm management system provided by the present invention; Figure 5 A schematic diagram of the structure of an embodiment of a management module of a visual alarm management system provided by the present invention; Figure 6 The present invention provides a flowchart of an embodiment of the visual alarm management method. DETAILED DESCRIPTION

[0017] The preferred embodiments of the present invention are described in detail below in conjunction with the accompanying drawings, wherein the accompanying drawings constitute a part of this application and are used together with the embodiments of the present invention to illustrate the principles of the present invention, but are not used to limit the scope of the present invention.

[0018] The present invention discloses a visual alarm management system. Figure 1 This is a schematic diagram of a visual alarm management system provided by an embodiment of the present invention. Figure 1 , the visual alarm management system 100 includes an alarm receiving module 110, a data analysis module 120, a visualization module 130 and a management module 140; The alarm receiving module 110 is used to receive fire alarms and obtain fire information based on the fire alarms; The data analysis module 120 is used to collect fire scene data based on fire information, analyze and predict fire risks based on the fire scene data, so as to determine the fire type and potential risk points; The visualization module 130 is used to display fire information, fire types and potential risk points in real time; The management module 140 is used to formulate a fire rescue plan based on fire information, fire type and potential risk points, and manage the fire rescue scene based on the fire rescue plan.

[0019] Among them, through the joint action of the alarm module 110, the data analysis module 120, the visualization module 130 and the management module 140, the fire can be extinguished quickly and accurately to avoid missing the critical opportunity for fire rescue. At the same time, the dispatch of firefighting personnel and firefighting facilities can be optimized, and the on-site command capability and emergency response capability can be enhanced.

[0020] In some embodiments, see Figure 2, the alarm receiving module 110 includes an alarm receiving unit 111; The alarm receiving unit 111 is used to receive fire alarms and obtain fire information based on the fire alarms, wherein the fire information includes basic information of the alarmist, fire geographical location information, fire situation description, and escape and rescue information.

[0021] Among them, the fire information is clarified through the alarm receiving module 110, providing the necessary basis for subsequent fire rescue.

[0022] In some embodiments, see Figure 3 , the data analysis module 120 includes a data acquisition unit 121, an analysis unit 122, and a prediction unit 123; The data acquisition unit 121 is used to collect fire scene data through sensors and monitoring equipment based on fire information, wherein the fire scene data includes fire image data, status data of fire fighting facilities, meteorological data, data of crowded areas, smoke, temperature, and light; The analysis unit 122 is used to analyze the fire scene data to determine the fire type, which includes Class A, Class B, Class C, Class D, Class E, and Class F fires; The prediction unit 123 is used to construct an LSTM network, predict the fire spread trend based on the LSTM network and the fire scene data to determine the potential risk points; obtain historical fire data, build an LSTM network, train the LSTM network based on the historical fire data, and obtain a fully trained LSTM network; predict the fire spread trend based on the fully trained LSTM network and the fire scene data to determine the potential risk points.

[0023] The data analysis module 120 collects, analyzes and predicts fire data, thereby providing accurate fire location and fire intensity information to firefighters and management personnel, helping management personnel and firefighters to quickly launch rescue work and reduce the loss of life and property caused by fire.

[0024] In some embodiments, see Figure 4 , the visualization module 130 includes a warning situation display unit 131 and a fire protection facility display unit 132; The alarm display unit 131 is used to display fire information, fire type and potential risk points; The firefighting facility display unit 132 is used to monitor the operating status of the firefighting facilities in real time and to display the location, distribution and direction of the firefighting facilities.

[0025] Among them, the visualization module 130 can quickly and accurately transmit fire information, fire types and potential risk points to the monitoring center, shorten the alarm time after the fire occurs to the greatest extent, monitor the fire-fighting facilities, and monitor the operation and management of the fire-fighting equipment of the networked units in real time, providing a certain basis for managers to comprehensively control the fire-fighting facilities, effectively reducing supervision costs, improving fire rescue efficiency, and thus reducing losses caused by fires.

[0026] In some embodiments, see Figure 5 , the management module 140 includes an evaluation unit 141, a plan formulation unit 142, an operator management unit 143 and a fire protection facility management unit 144; The evaluation unit 141 is used to evaluate the fire situation based on the fire information, fire type and potential risk points to determine the fire scale, fire development trend and fire impact range; The plan formulation unit 142 is used to formulate a fire rescue plan based on the fire scale, fire development trend and fire impact range, and the fire rescue plan includes fire area division, path planning, operator scheduling, fire fighting facility scheduling, evacuation plan and rescue work scheduling; The operator management unit 143 is used to manage the operators at the fire scene based on the fire rescue plan; The firefighting facility management unit 144 is used to dispatch firefighting facilities based on the fire rescue plan.

[0027] Among them, the management module 140 can prevent the expansion of fire accidents and maximize the safety of life and property by evaluating the fire situation, formulating plans, and timely and accurate dispatching of firefighting personnel and firefighting facilities.

[0028] A specific embodiment of the present invention discloses a visual alarm management method. Figure 6 This is a flowchart of the visual alarm management method provided by an embodiment of the present invention. Figure 6 , the visual alarm management method includes: S601, receiving a fire alarm based on an alarm receiving module, and obtaining fire information based on the fire alarm; S602: The data analysis module collects fire scene data based on the fire information, and analyzes and predicts the fire risk based on the fire scene data to determine the fire type and potential risk points; S603, displaying fire information, fire types and potential risk points in real time based on the visualization module; S604: Formulate a fire rescue plan based on the management module based on the fire information, fire type and potential risk points, and manage the fire rescue scene based on the fire rescue plan.

[0029] Among them, fire risks are analyzed and predicted based on fire scene data to determine the fire type and potential risk points, and fire information, fire type and potential risk points are displayed in real time to provide visualization for the fire rescue scene, making it convenient for managers to view in real time and conduct remote command.

[0030] Compared with the prior art, the visual alarm management method provided in this embodiment receives fire alarms based on the alarm receiving module and obtains fire information based on the fire alarms; collects fire scene data based on the fire information based on the data analysis module, analyzes and predicts fire risks based on the fire scene data to determine the fire type and potential risk points; improves the accuracy and timeliness of fire risk analysis, and displays fire information, fire types and potential risk points in real time based on the visualization module; reflects the fire spread status in a timely and accurate manner, facilitates remote viewing and remote command, formulates fire rescue plans based on the fire information, fire types and potential risk points based on the management module, manages the fire rescue scene based on the fire rescue plan, and avoids missing the critical opportunity for fire rescue.

[0031] In some embodiments, in step S601, a fire alarm is received based on an alarm receiving module, and fire information is obtained based on the fire alarm. When a fire alarm is received, the basic information of the person reporting the fire, the geographical location information of the fire, the description of the fire situation, and the escape and rescue information are determined. The basic information of the person reporting the fire includes his name, work unit, and contact number so that the fire department can keep in touch with the person reporting the fire. The geographical location information of the fire includes the accurate geographical location of the fire site, the house number, or obvious surrounding buildings or road signs. The description of the fire situation includes the time of fire, combustion characteristics, size of the fire, whether there are trapped persons, whether there are important items, important buildings around the fire, and driving routes. The escape and rescue information includes whether there are trapped persons and whether rescue is needed. After obtaining the fire information, the fire information is forwarded to the fire command center.

[0032] In some embodiments, in step S602, fire scene data is collected based on the fire information. After the specific address of the fire is determined through the fire geographical location information in the fire information, the fire scene data is collected through sensors and monitoring equipment. The status data, smoke, temperature, light and meteorological data of the fire-fighting facilities at the fire scene are collected through sensors. The fire image data and data of densely populated areas at the fire scene are collected through monitoring equipment; the fire scene data is analyzed to determine the type of fire. The fire scene data is analyzed through AI big data to determine the type of fire. The fire types include Class A, Class B, Class C, Class D, Class E, and Class F fires. Class A fire refers to fires of solid materials, such as wood, paper, cotton, linen, etc. This type of fire usually produces a lot of heat and smoke when burning, and the fire spreads quickly. Class B fire refers to liquid Or fires of fusible solid materials, such as gasoline, kerosene, diesel, asphalt, etc. This type of fire can easily spread rapidly with the flow of liquid, and sometimes explosions or deflagrations may occur; Class C fire: refers to gas fires, such as coal gas, natural gas, methane, hydrogen, etc. This type of fire is usually caused by leakage of flammable gas and encountering a fire source; Class D fire: refers to metal fires, such as potassium, sodium, magnesium, etc. This type of fire requires special fire-fighting measures because ordinary fire extinguishing agents cannot extinguish metal fires; Class E fire: refers to electrical fires, such as working cables and motors. This type of fire requires the use of special fire-fighting equipment to prevent the risk of electric shock; Class F fire: refers to fires of cooking materials in cooking utensils, such as animal and vegetable oils and fats. This type of fire usually occurs in cooking areas such as kitchens. After determining the type of fire, select the corresponding fire-fighting facilities according to the type of fire to extinguish the fire.

[0033] According to the fire scene data, the LSTM network is used to predict the fire spread trend and determine the potential risk points. The LSTM network shows high accuracy and adaptability in fire prediction. Compared with traditional methods and single neural network methods, the LSTM network has higher prediction accuracy. Historical fire data is obtained to build an LSTM network. The LSTM network is trained based on the historical fire data to obtain a fully trained LSTM network. The fire spread trend is predicted based on the fully trained LSTM network and the fire scene data. The fire image data is input into the fully trained LSTM network. The fire image data is predicted through the LSTM network, and combined with various environmental information at the fire scene to predict the spread of the fire. According to the fire spread and the fire scene environment, the potential risk points are determined, providing important support for fire prevention and control and emergency response.

[0034] In some embodiments, in step S603, fire information, fire types and potential risk points are displayed in real time based on the visualization module, and the fire information obtained, the fire types obtained by analysis, and the potential risk points obtained by prediction are transmitted in real time to the visualization screen of the fire command center. The visualization screen displays the fire information, fire types and potential risk points in the form of charts, maps and reports, so that fire management personnel can understand the current fire risk situation at a glance, and monitor the operating status of fire-fighting facilities in real time, display the location, distribution and direction of fire-fighting facilities, and provide a basis for the accurate scheduling of fire-fighting facilities.

[0035] In some embodiments, in step S604, a fire rescue plan is formulated based on the fire information, fire type and potential risk points. The fire situation is evaluated based on the fire information, fire type and potential risk points displayed by the visualization module to determine the fire scale, fire development trend and fire impact range. The actual situation of the fire can be fully understood to provide a scientific basis for decision-making. By evaluating the size of the fire, the burning area, etc., the severity of the fire can be understood to provide a basis for subsequent emergency response and resource allocation. Through potential risk points, the possible development direction and speed of the fire are predicted to provide a reference for formulating a firefighting plan. The impact of the fire on the surrounding environment, facilities and personnel is evaluated, and the areas that need to be evacuated and protected are determined to ensure the effectiveness of emergency measures. A fire rescue plan is formulated based on the fire situation and the scope of fire impact. The fire rescue plan includes fire area division, route planning, operator dispatch, firefighting facility dispatch, evacuation plan and rescue work dispatch. The fire rescue scene is managed based on the fire rescue plan, specifically including: first, determining the fire area, firefighting operators, firefighting facilities and rescue route based on the fire rescue plan, dividing the fire area according to the fire geographical location information and fire spread trend, selecting the firefighting operators from the nearest fire base, selecting the corresponding firefighting facilities according to the fire type, and determining the best rescue route according to the fire geographical location information, fire type and fire spread trend; secondly, dispatching firefighting operators and firefighting facilities to extinguish the fire according to the rescue route.

[0036] In summary, the present invention provides a visual alarm management system and method, and the visual alarm management system includes an alarm module, a data analysis module, a visualization module, and a management module; the alarm module is used to receive fire alarms and obtain fire information based on the fire alarms; the data analysis module is used to collect fire scene data based on the fire information, and analyze and predict fire risks based on the fire scene data to determine the fire type and potential risk points; the visualization module is used to display fire information, fire type and potential risk points in real time; the management module is used to formulate a fire rescue plan based on the fire information, fire type and potential risk points, and manage the fire rescue scene based on the fire rescue plan to avoid missing the critical opportunity for fire rescue.

[0037] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by any technician familiar with the technical field within the technical scope disclosed by the present invention should be covered within the protection scope of the present invention.

Claims

1. A visual alarm management system, characterized in that: Including alarm module, data analysis module, visualization module and management module; The alarm receiving module is used to receive a fire alarm and obtain fire information based on the fire alarm; The data analysis module is used to collect fire scene data based on fire information, and analyze and predict fire risks based on the fire scene data to determine the fire type and potential risk points; The visualization module is used to display the fire information, fire type and potential risk points in real time; The management module is used to formulate a fire rescue plan based on the fire information, fire type and potential risk points, and manage the fire rescue scene based on the fire rescue plan.

2. The visual alarm management system according to claim 1 is characterized in that: The alarm receiving module includes an alarm receiving unit; The alarm receiving unit is used to receive fire alarms and obtain fire information based on the fire alarms, wherein the fire information includes basic information of the alarmist, fire geographical location information, fire situation description information, and escape and rescue information.

3. The visual alarm management system according to claim 2 is characterized in that: The data analysis module includes a data acquisition unit, an analysis unit, and a prediction unit; The data acquisition unit is used to collect fire scene data through sensors and monitoring equipment based on fire information, wherein the fire scene data includes fire image data, status data of fire fighting facilities, meteorological data, data of crowded areas, smoke, temperature, and light; The analysis unit is used to analyze the fire scene data to determine the fire type; The prediction unit is used to construct an LSTM network, and predict the fire spread trend based on the LSTM network and the fire scene data to determine potential risk points.

4. The visual alarm management system according to claim 3 is characterized in that: The fire types include Class A, Class B, Class C, Class D, Class E, and Class F fires.

5. The visual alarm management system according to claim 3 is characterized in that: The prediction of the fire spread trend based on the LSTM network and the fire scene data to determine the potential risk points includes: Acquire historical fire data, construct an LSTM network, and train the LSTM network based on the historical fire data to obtain a fully trained LSTM network; Based on the well-trained LSTM network and the fire scene data, the fire spread trend is predicted to determine potential risk points.

6. The visual alarm management system according to claim 1, characterized in that: The visualization module includes a warning situation display unit and a firefighting facility display unit; The alarm display unit is used to display the fire information, fire type and potential risk points in real time; The fire-fighting facility display unit is used to monitor the operating status of the fire-fighting facility in real time and to display the location, distribution and direction of the fire-fighting facility.

7. The visual alarm management system according to claim 1, characterized in that: The management module includes an evaluation unit, a plan formulation unit, an operator management unit, and a fire protection facility management unit; The evaluation unit is used to evaluate the fire situation based on the fire information, fire type and potential risk points to determine the fire scale, fire development trend and fire impact range; The plan formulation unit is used to formulate a fire rescue plan based on the fire scale, fire development trend and fire impact range; The worker management unit is used to manage the workers at the fire scene based on the fire rescue plan; The firefighting facility management unit is used to dispatch firefighting facilities based on the fire rescue plan.

8. The visual alarm management system according to claim 7, characterized in that: The fire rescue plan includes fire area division, rescue route planning, operator dispatch, fire fighting facility dispatch, evacuation plan and rescue work dispatch.

9. A visual alarm management method, characterized in that: The method is implemented by a visual alarm management system as claimed in any one of claims 1 to 8, comprising the following steps: receiving a fire alarm based on the alarm receiving module, and obtaining fire information based on the fire alarm; The data analysis module collects fire scene data based on fire information, and analyzes and predicts fire risks based on the fire scene data to determine the fire type and potential risk points; Based on the visualization module, the fire information, fire type and potential risk points are displayed in real time; Based on the management module, a fire rescue plan is formulated based on the fire information, fire type and potential risk points, and the fire rescue scene is managed based on the fire rescue plan.

10. The visual alarm management method according to claim 9, characterized in that: The managing of the fire rescue scene based on the fire rescue plan includes: Determine the firefighting area, firefighting personnel, firefighting facilities and rescue routes based on the fire rescue plan; Firefighting personnel and firefighting facilities are dispatched based on the rescue path to extinguish the fire.

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