Fire-fighting equipment supervision method and system based on Beidou and Internet of Things fusion

Abstract

The embodiment of the invention discloses a fire-fighting equipment supervision method and system based on Beidou and Internet of Things fusion. The method comprises the following steps: reading an RFID tag to obtain current identity information of fire fighting equipment; liquid level and temperature and humidity information is collected through a sensor; real-time images in the compartment are collected through a camera; and analyzing the data. The system has the following advantages: 1, the RFID tag, the acquisition module and the analysis module cooperate with each other, and a real-time checking system applied to various fire fighting equipment (fire fighting hoses, fire fighting water monitors, toolkits and the like) in a fire fighting carriage is provided, so that the number and types of fire fighting vehicle equipment can be checked accurately and rapidly; 2, the camera is matched with the analysis module, a fire-fighting equipment supervision scheme is provided, whether the fire-fighting equipment is not in place in time or is moved or stolen or not can be found in time, and fire-fighting management personnel can check the fire-fighting equipment in time; 3, a Beidou positioning module is used, so that fire-fighting management personnel can clearly master the dynamic position of the vehicle when the vehicle is taken out of police;

Description

Technical Field

[0001] The present invention relates to the technical field of Beidou and Internet of Things, and in particular to a fire-fighting equipment supervision method and system based on the integration of Beidou and Internet of Things. Background Art

[0002] The Beidou satellite navigation system is an advanced positioning technology independently developed by my country. Its positioning comes with a text message communication service, which can notify multiple people of the location at the same time.

[0003] In recent years, Internet of Things technology has been widely used in many fields. For example, when it is applied to fire protection systems, remote monitoring of fire protection can be achieved.

[0004] Firefighting equipment is an essential infrastructure for firefighting and is used to protect people's lives and property. Firefighting equipment also refers to firefighting facilities and equipment, including fixed firefighting facilities and mobile firefighting equipment. Fixed firefighting facilities generally include automatic fire alarm systems, automatic fire extinguishing systems, fire hydrant systems, smoke and exhaust systems, emergency broadcasting and emergency lighting, safe evacuation facilities, etc. Mobile firefighting equipment generally includes various fire extinguishers, firefighting tools, etc. For buildings equipped with the above-mentioned firefighting equipment, there are currently relevant monitoring solutions for remote monitoring and management.

[0005] However, fire trucks are also a very important type of firefighting equipment. In daily management, there is no solution for how to supervise the equipment on fire trucks (such as fire hoses, fire monitors and tool kits, etc.). In addition, how to accurately grasp the real-time dynamics of fire trucks during the fire alarm process is also an urgent problem to be solved. Summary of the invention

[0006] In view of the technical defects in the prior art, the purpose of the embodiments of the present invention is to provide a fire equipment supervision method and system based on the integration of Beidou and the Internet of Things.

[0007] To achieve the above objectives, in a first aspect, an embodiment of the present invention provides a fire equipment supervision system based on the integration of Beidou and the Internet of Things, including:

[0008] RFID tags are installed on each firefighting equipment in the fire truck compartment; the firefighting equipment includes fire hoses, fire monitors and tool kits;

[0009] A collection module, used for reading the RFID tag to obtain the current identity information of the fire-fighting equipment, and sending the current identity information to the outside;

[0010] The analysis module is used to receive the current identity information and compare it with the preset information stored in the database. If the comparison results are consistent, the current identity information is recorded and the recorded identity information is counted to realize the inventory of the fire-fighting equipment; if the comparison results are inconsistent, the current identity information is recorded and an early warning message is generated.

[0011] As a preferred implementation of the present application, the fire equipment monitoring system further includes a plurality of sensors arranged in the fire truck compartment for collecting liquid level information and temperature and humidity information in the compartment;

[0012] The analysis module is also used to determine whether the liquid level information is lower than a threshold value. If so, the fire management personnel are notified to handle the situation.

[0013] As a preferred implementation of the present application, the fire equipment monitoring system further includes a camera for collecting real-time images in the fire truck compartment;

[0014] The analysis module is also used for:

[0015] Extracting a first frame and a second frame from the real-time image; the extraction time difference between the first frame and the second frame is before and after the fire truck is dispatched;

[0016] Respectively perform object feature recognition on the first frame and the second frame;

[0017] If the fire-fighting equipment is identified from the first frame and not identified from the second frame, it is determined that the fire-fighting equipment is not returned to its place in time before and after use, and the fire-fighting management personnel are notified to check in time.

[0018] As a preferred implementation method of the present application, the fire-fighting equipment also includes a Beidou positioning module, which is arranged in the fire truck compartment, and is used to obtain the location information of the fire truck in real time when the vehicle is on duty, and transmit the location information to the monitoring platform; wherein, the Beidou positioning module adopts a combined positioning method of BG45-2 and GPS.

[0019] In a second aspect, an embodiment of the present invention provides a fire equipment supervision method based on the integration of Beidou and the Internet of Things, including:

[0020] Reading RFID tags to obtain current identity information of firefighting equipment; the RFID tags are set on each firefighting equipment in the fire truck compartment, and the firefighting equipment includes fire hoses, fire monitors and tool kits;

[0021] Collect the liquid level information and temperature and humidity information in the car through sensors;

[0022] Collect real-time images inside the car through cameras;

[0023] Sending the current identity information, liquid level information, temperature and humidity information and real-time images to the analysis module;

[0024] The current identity information, liquid level information, temperature and humidity information and real-time images are analyzed by the analysis module to realize the inventory of the fire-fighting equipment, remote monitoring of the liquid level in the fire truck compartment and monitoring of the movement of the fire-fighting equipment.

[0025] Furthermore, before sending the current identity information, liquid level information, temperature and humidity information and real-time image to the analysis module, the fire fighting equipment method further includes:

[0026] The current identity information, liquid level information, temperature and humidity information and real-time images are processed in a unified format and encrypted.

[0027] Furthermore, the fire-fighting equipment supervision method further includes:

[0028] The Beidou positioning module installed in the fire truck compartment obtains the location information of the fire truck when the vehicle is on duty, and realizes dynamic monitoring of the fire truck during the emergency response process based on the location information; wherein, the Beidou positioning module adopts a combined positioning method of BG45-2 and GPS.

[0029] The main advantages of implementing the fire equipment supervision system and method based on the integration of Beidou and the Internet of Things provided in the embodiments of the present invention are as follows:

[0030] 1. The RFID tag, collection module and analysis module cooperate to provide a real-time inventory system for various fire-fighting equipment (fire hoses, fire monitors and tool kits, etc.) in the fire truck compartment, which can accurately and quickly count the number and types of fire truck equipment, and realize the non-manual inventory and digitization of fire truck equipment management;

[0031] 2. The combination of sensors and analysis modules can provide real-time information on the remaining water volume and environmental information in the fire truck compartment, making it easier for fire management personnel to clearly understand the water usage of the fire truck;

[0032] 3. The camera and analysis module work together to provide a fire equipment supervision solution, which can promptly detect whether the fire equipment has not been returned in time, has been misappropriated or stolen, etc., so that fire management personnel can conduct timely inspections;

[0033] 4. The use of the Beidou positioning module allows fire management personnel to clearly understand the dynamic location of the vehicle when it responds to an emergency. The dynamic location can also be summarized to provide data support for the digital and refined management of firefighting. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the specific implementation of the present invention or the technical solution in the prior art, the drawings required for use in the specific implementation or the description of the prior art are briefly introduced below.

[0035] Figure 1 It is a structural diagram of a fire-fighting equipment supervision system based on the integration of Beidou and the Internet of Things provided by an embodiment of the present invention;

[0036] Figure 2 It is a flow chart of a fire-fighting equipment supervision method based on the integration of Beidou and the Internet of Things provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0037] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0038] It should be understood that when used in this specification and the appended claims, the terms "include" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0039] It should also be understood that the terms used in this specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the specification of the present invention and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0040] It should be further understood that the term "and / or" used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0041] As used in this specification and the appended claims, the term "if" may be interpreted as "when" or "upon" or "in response to determining" or "in response to detecting," depending on the context. Similarly, the phrases "if it is determined" or "if [described condition or event] is detected" may be interpreted as meaning "upon determination" or "in response to determining" or "upon detection of [described condition or event]" or "in response to detecting [described condition or event]," depending on the context.

[0042] It should be noted that, unless otherwise specified, the technical terms or scientific terms used in this application should have the common meanings understood by those skilled in the art to which the invention belongs.

[0043] Please refer to Figure 1 The fire equipment supervision system based on the integration of Beidou and Internet of Things provided by the embodiment of the present invention includes an RFID tag, a collection module, an analysis module, a sensor, a camera and a Beidou positioning module.

[0044] Among them, the RFID tag is set on each fire-fighting equipment in the fire truck compartment; the fire-fighting equipment includes fire hoses, fire water monitors and tool kits.

[0045] The acquisition module is used to read the RFID tag to obtain the current identity information of the fire-fighting equipment and send the current identity information outward; the current identity information includes but is not limited to the unit to which the fire hydrant equipment belongs, the factory number and the specific manufacturer and other information.

[0046] In this embodiment, the sensor mainly refers to a liquid level sensor, which is arranged in the fire truck compartment and is used to collect liquid level information and temperature and humidity information in the compartment.

[0047] Specifically, the camera is mainly used to collect real-time images inside the fire truck compartment.

[0048] In this embodiment, the Beidou positioning module is arranged in the fire truck compartment, and is used to obtain the position information of the fire truck in real time when the vehicle is on duty, and transmit the position information to the monitoring platform. For example, the Beidou positioning module can combine the requirements of the fire protection field for positioning accuracy, and adopt the combined positioning method of BD45-5 and GPS to improve the positioning accuracy and speed.

[0049] In this embodiment, the analysis module is mainly used for:

[0050] The current identity information, liquid level information, temperature and humidity information and real-time images are analyzed to realize the inventory of the fire-fighting equipment, remote monitoring of the liquid level in the fire truck compartment and monitoring of the movement of the fire-fighting equipment.

[0051] It should be noted that the specific process of the analysis module will be described in detail in the subsequent method embodiments and will not be repeated here.

[0052] Please refer to Figure 2 The embodiment of the present invention provides a fire-fighting equipment supervision method based on the integration of Beidou and the Internet of Things, including:

[0053] S1, read the RFID tag to obtain the current identity information of the fire fighting equipment.

[0054] Specifically, an RFID tag is set on each fire-fighting equipment in the fire truck compartment. By installing an APP on the collection module (such as a mobile terminal), the above-mentioned current identity information, such as the unit to which the fire hydrant equipment belongs, the factory number and the specific manufacturer, can be obtained by scanning the RFID tag.

[0055] S2, collects the liquid level information and temperature and humidity information in the car through sensors.

[0056] In specific implementation, a liquid level sensor and a temperature and humidity sensor are provided in the fire engine compartment. Liquid level information can be obtained through the liquid level sensor, and temperature and humidity information can be obtained through the temperature and humidity sensor.

[0057] S3, collects real-time images inside the car through the camera.

[0058] S4, performing format unification processing and encryption processing on the current identity information, liquid level information, temperature and humidity information and real-time images.

[0059] In the specific implementation, the collected information has the problem of non-uniform format. Therefore, in this embodiment, it is necessary to standardize the data to obtain data with a unified format.

[0060] Furthermore, in order to ensure the security of data transmission, it is necessary to perform a data encryption process before external transmission. Similarly, after receiving the data, the other end needs to decrypt the data. Therefore, in this embodiment, an encryption rule and a decryption rule are provided. Among them, the encryption rule maps the original characters to the corresponding characters in the random character group, and the decryption rule maps the characters in the random character group back to the original characters. For example, assuming that the single-item word and number character library includes the following elements {'a','b','c','d','e','f','g','h'}, and the corresponding generated random character group is 'fhgdeacb', then the following left and right mapping parts can be obtained according to the above steps: left part: {'f':'h','g','d'}, right part: {'b','c','e','a"}. The corresponding encryption rules are: {'f':'b','h':'c','g':'e','d':'a'}, and the decryption rules are: {'b':'f','c':'h','e':'g','a':'d'}.

[0061] S5, sending the current identity information, liquid level information, temperature and humidity information and real-time image to the analysis module.

[0062] S6, analyzing the current identity information, liquid level information, temperature and humidity information and real-time images through the analysis module to realize the inventory of the fire-fighting equipment, remote monitoring of the liquid level in the fire truck compartment and monitoring of the movement of the fire-fighting equipment.

[0063] Among them, the current identity information is analyzed, specifically:

[0064] The current identity information is compared with the preset information stored in the database. If the comparison results are consistent, the current identity information is recorded and the recorded identity information is counted to realize the inventory of the fire-fighting equipment; if the comparison results are inconsistent, the current identity information is recorded and an early warning message is generated.

[0065] Analyze the liquid level information, specifically:

[0066] Determine whether the liquid level information is lower than a threshold value, and if so, notify the fire management personnel to handle it.

[0067] Analyze the real-time image, specifically:

[0068] A first frame and a second frame are extracted from the real-time image; the time difference between the extraction of the first frame and the second frame is before and after the fire truck goes out to respond to the call; usually, only after the call is sent out to respond to the call, the fire hose and the tool kit may be moved, therefore, in this embodiment, the images are extracted and analyzed before and after the call is sent out respectively;

[0069] Recognize the features of the object on the first frame and the second frame respectively; it should be noted that the process of identifying the object from the picture includes image segmentation, edge detection, feature extraction and target detection algorithm, etc.; among them, the target detection algorithm includes but is not limited to R-CNN, SPP-Net, Fast R-CNN, Faster R-CNN and R-FCN, etc.;

[0070] If the fire-fighting equipment is identified from the first frame and not identified from the second frame, it is determined that the fire-fighting equipment is not returned to its place in time before and after use, and the fire-fighting management personnel are notified to check in time.

[0071] From the above description, it can be seen that the fire equipment supervision system and method based on the integration of Beidou and the Internet of Things provided by the embodiments of the present invention have the following main advantages:

[0072] 1. The RFID tag, collection module and analysis module cooperate to provide a real-time inventory system for various fire-fighting equipment (fire hoses, fire monitors and tool kits, etc.) in the fire truck compartment, which can accurately and quickly count the number and types of fire truck equipment, and realize the non-manual inventory and digitization of fire truck equipment management;

[0073] 2. The combination of sensors and analysis modules can provide real-time information on the remaining water volume and environmental information in the fire truck compartment, making it easier for fire management personnel to clearly understand the water usage of the fire truck;

[0074] 3. The camera and analysis module work together to provide a fire equipment supervision solution, which can promptly detect whether the fire equipment has not been returned in time, has been misappropriated or stolen, etc., so that fire management personnel can conduct timely inspections;

[0075] 4. The use of the Beidou positioning module allows fire management personnel to clearly understand the dynamic location of the vehicle when it responds to an emergency. The dynamic location can also be summarized to provide data support for the digital and refined management of firefighting.

[0076] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present invention, and these modifications or replacements should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A fire equipment supervision system based on the integration of Beidou and the Internet of Things, characterized in that: include: RFID tags are installed on each firefighting equipment in the fire truck compartment; the firefighting equipment includes fire hoses, fire monitors and tool kits; A collection module, used for reading the RFID tag to obtain the current identity information of the fire-fighting equipment, and sending the current identity information to the outside; The analysis module is used to receive the current identity information and compare it with the preset information stored in the database. If the comparison results are consistent, the current identity information is recorded and the recorded identity information is counted to realize the inventory of the fire-fighting equipment; if the comparison results are inconsistent, the current identity information is recorded and an early warning message is generated.

2. The fire equipment monitoring system according to claim 1, characterized in that: The fire equipment monitoring system also includes a plurality of sensors arranged in the fire engine compartment for collecting liquid level information and temperature and humidity information in the compartment; The analysis module is also used to determine whether the liquid level information is lower than a threshold value. If so, the fire management personnel are notified to handle the situation.

3. The fire equipment monitoring system according to claim 2, characterized in that: The fire equipment monitoring system also includes a camera for collecting real-time images inside the fire truck compartment; The analysis module is also used for: Extracting a first frame and a second frame from the real-time image; the extraction time difference between the first frame and the second frame is before and after the fire truck is dispatched; Respectively perform object feature recognition on the first frame and the second frame; If the fire-fighting equipment is identified from the first frame and not identified from the second frame, it is determined that the fire-fighting equipment is not returned to its place in time before and after use, and the fire-fighting management personnel are notified to check in time.

4. The fire equipment monitoring system according to claim 1, characterized in that: The fire-fighting equipment also includes a Beidou positioning module, which is arranged in the fire truck compartment and is used to obtain the position information of the fire truck in real time when the vehicle is on alarm, and transmit the position information to the monitoring platform.

5. The fire equipment monitoring system according to claim 4, characterized in that: The Beidou positioning module adopts a combined positioning method of BG45-2 and GPS.

6. A fire equipment supervision method based on the integration of Beidou and the Internet of Things, characterized in that: include: Read RFID tags to obtain the current identity information of fire equipment; The RFID tag is set on each fire-fighting equipment in the fire truck compartment, and the fire-fighting equipment includes a fire hose, a fire water monitor and a tool kit; Collect the liquid level information and temperature and humidity information in the car through sensors; Collect real-time images inside the car through cameras; Sending the current identity information, liquid level information, temperature and humidity information and real-time images to the analysis module; The current identity information, liquid level information, temperature and humidity information and real-time images are analyzed by the analysis module to realize the inventory of the fire-fighting equipment, remote monitoring of the liquid level in the fire truck compartment and monitoring of the movement of the fire-fighting equipment.

7. The fire-fighting equipment supervision method according to claim 6, characterized in that: Before sending the current identity information, liquid level information, temperature and humidity information and real-time image to the analysis module, the fire fighting equipment method further includes: The current identity information, liquid level information, temperature and humidity information and real-time images are processed in a unified format and encrypted.

8. The fire-fighting equipment supervision method according to claim 7, characterized in that: The current identity information is analyzed by the analysis module, specifically: The current identity information is compared with the preset information stored in the database. If the comparison results are consistent, the current identity information is recorded and the recorded identity information is counted to realize the inventory of the fire-fighting equipment; if the comparison results are inconsistent, the current identity information is recorded and an early warning message is generated.

9. The fire-fighting equipment supervision method according to claim 7, characterized in that: The real-time image is analyzed by the analysis module, specifically: Extracting a first frame and a second frame from the real-time image; the extraction time difference between the first frame and the second frame is before and after the fire truck is dispatched; Respectively perform object feature recognition on the first frame and the second frame; If the fire-fighting equipment is identified from the first frame and not identified from the second frame, it is determined that the fire-fighting equipment is not returned to its place in time before and after use, and the fire-fighting management personnel are notified to check in time.

10. The fire-fighting equipment supervision method according to any one of claims 6 to 9, characterized in that: The fire-fighting equipment supervision method further comprises: The Beidou positioning module installed in the fire truck compartment obtains the location information of the fire truck when the vehicle is on duty, and realizes dynamic monitoring of the fire truck during the emergency response process based on the location information; wherein, the Beidou positioning module adopts a combined positioning method of BG45-2 and GPS.

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