Three-jumping cloud fire-fighting mobile emergency rescue fire extinguishing system

Abstract

The invention belongs to the technical field of fire fighting systems, and particularly relates to a three-jumping cloud fire fighting mobile emergency rescue fire extinguishing system. A relay station processor is added between signal exchange of a plurality of fire-fighting devices and a command center to process data transmitted to the command center by the fire-fighting devices, and the relay station processor comprises a data acquisition and screening module, a data calculation and sorting module and a data aggregation and transmission module. The data acquisition and screening module is used for preliminarily classifying the data and transmitting the processed data to the data calculation and sorting module, and the data calculation and sorting module is used for respectively carrying out weight calculation and priority sorting on each data frame in each data item to ensure that key data is preferentially transmitted; key data delay or loss caused by network congestion is avoided; the data is compressed through the data aggregation transmission module, so that the transmitted data volume is reduced, the network bandwidth is prevented from being occupied by useless data, the signal transmission efficiency is improved, and the network congestion is reduced.

Description

Technical Field

[0001] The present invention belongs to the technical field of fire fighting systems, and in particular relates to a three-wheeled cloud fire fighting mobile emergency rescue fire extinguishing system. Background Art

[0002] Narrow and crowded rural streets or old city streets and other densely built areas are old, lack planning, and have few and widely distributed fire-fighting facilities. Therefore, once a fire occurs, its special environmental conditions will create great pressure for rescue and firefighting. On the one hand, due to the large number of people, a large number of residents are likely to block narrow alleys due to panic during a fire, severely limiting the speed at which firefighters and equipment enter the fire scene; on the other hand, the buildings are densely packed, the wires are intricate, and there are many combustibles. The fire can easily spread rapidly along the wires. If it is not extinguished in time, the losses will expand rapidly. Therefore, firefighters need to respond in a very short time and quickly match the rescue plan to reduce the spread of the fire and reduce the losses.

[0003] "Sanbengzi" is another name for fire motorcycles or light fire trucks. They are small in size and highly maneuverable, suitable for quickly reaching the scene in narrow streets or traffic jams. Sanbengzi is equipped with basic firefighting equipment such as water tanks, water pumps, water guns and fire extinguishers, suitable for handling fires in narrow streets that large fire trucks cannot reach.

[0004] However, due to the limited size and carrying capacity of the "three-wheeled vehicle", it carries fewer fire-fighting equipment, and when dealing with larger-scale fires, multiple units are required to work together to ensure sufficient fire-fighting capabilities.

[0005] However, the high building density and complex structures in narrow alleys pose serious interference to wireless signal transmission, especially at firefighting sites, where metal structures, walls and other obstacles attenuate or reflect signals, causing signal strength to weaken or be lost. In addition, electromagnetic interference generated by fires further affects communication quality, which may cause signal interruption and delay the response speed of the command center.

[0006] In addition, when multiple "three-wheelers" work together, the intelligent firefighting devices on each vehicle (such as water guns, water pumps, and fire extinguishers) will monitor their own status in real time and upload data to the command center through wireless communication modules. A large number of status updates and alarm information in a short period of time will lead to a surge in data volume and network bandwidth congestion. Key fire information may not be uploaded in time due to network delays, affecting command decisions, slowing down rescue speed, and increasing losses.

[0007] In order to solve the above problems, especially the problem of network congestion caused by a large number of fire-fighting devices transmitting back data, a three-wheeled cloud fire-fighting mobile emergency rescue fire-fighting system is urgently needed. Summary of the invention

[0008] In order to solve the above-mentioned problems existing in the prior art, the present invention provides a three-wheeled vehicle cloud fire-fighting mobile emergency rescue fire-fighting system, which solves the problem that when three-wheeled vehicles are used for fire-fighting, a large number of fire-fighting device data sending queues accumulate a large amount of data information, causing network congestion, and unstable data transmission when transmitting back to the command center.

[0009] The purpose of the present invention can be achieved by the following technical solutions: a three-bengzi cloud fire mobile emergency rescue fire extinguishing system, comprising a plurality of fire-fighting devices and a command center, wherein the plurality of fire-fighting devices include a data uploading unit for returning data to a relay station processor, and the plurality of data uploading units are used for uploading data of the fire-fighting devices, and also includes a relay station processor, wherein the plurality of data uploading units are respectively electrically connected to the relay station processor and upload data, and the relay station processor module stores and processes the data and then uploads it to the command center;

[0010] The relay station processor includes a data collection and screening module, a data calculation and sorting module and a data aggregation and transmission module, and the data collection and screening module, the data calculation and sorting module and the data aggregation and transmission module are electrically connected to each other;

[0011] The data collection and screening module is used to classify the data uploaded by the multiple data uploading units into data items, the types of data items include: item one: device status data item, item two: device failure data item and item three: device fire extinguishing data item, and send the three types of data items to the data calculation and sorting module;

[0012] The data calculation and sorting module calculates the weight value of each data frame in each data item, and sorts the priority of each data frame in each data item, extracts data frames with consistent sorting results from the data frames in each data item to generate multiple subsequences, each of which includes three data items, and transmits each subsequence to the data aggregation transmission module according to the sorting results;

[0013] The data aggregation transmission module is used to compress each subsequence and transmit it to the command center in sequence according to the sorting results;

[0014] The command center makes instructions according to the data transmitted by the data aggregation transmission module, and feeds back the instructions to the relay station processor, and the relay station processor commands multiple fire-fighting devices to work according to the instructions.

[0015] Preferably, the relay station processor and the multiple data upload units communicate with each other within the same transmission network, and the transmission network uses the same clock protocol, that is, in each data frame uploaded by the multiple data upload units, the data in each frame has a timestamp and is in the same format.

[0016] Preferably, the relay station processor further includes a local cache module and a transmission signal monitoring module;

[0017] The signal monitoring module is used to monitor the margin of the data transmission channel between the data aggregation transmission module and the command center, and when the margin of the data transmission channel is less than the margin low threshold, send a cache signal to the data aggregation transmission module, and the data aggregation transmission module transmits the data to the local cache module for local caching;

[0018] When the data transmission channel margin recovers to a margin high threshold, the data monitoring module sends an upload signal to the data aggregation transmission module;

[0019] The data aggregation transmission module sorts the data transmitted by the local cache module according to timestamps and transmits them to the command center.

[0020] Preferably, the data collection and screening module includes a filtering unit, and the filtering unit is used to filter the data uploaded by the data uploading unit;

[0021] The filtering unit includes performing deduplication processing on the data uploaded by the data uploading module, and the screening conditions of the deduplication processing include the timestamp and the IP address of the data frame;

[0022] The filtering unit also includes cleaning the data. The filtering unit cleans the abnormal data uploaded by each of the data uploading units by setting a threshold value of a data frame of each data item.

[0023] Preferably, it also includes a data alarm module, which identifies the abnormal data filtered out by the filtering unit and traces it back to the IP address of the fire-fighting device in the data frame. The data alarm unit sends the IP address of the fire-fighting device to the command center.

[0024] Preferably, a backup data transmission channel is provided between the relay station processor and the command center.

[0025] Preferably, it also includes a cloud, and the data aggregation transmission module of the relay station processor backs up the data uploaded to the command center and stores it through the cloud.

[0026] Preferably, the clock protocol is PTP.

[0027] Preferably, the data collection and screening module has a built-in neural network model, and the neural network model is used for data classification.

[0028] Preferably, the data calculation and sorting module uses a hierarchical analysis method to prioritize various types of data items.

[0029] The beneficial effects of the present invention are:

[0030] The system processes the data transmitted from the fire-fighting device to the command center in advance by adding a relay station processor between the signal exchanges of multiple fire-fighting devices and the command center. The relay station processor includes a data acquisition and screening module, a data calculation and sorting module, and a data aggregation and transmission module. The data is preliminarily classified through the data acquisition and screening module, and the processed data is transmitted to the data calculation and sorting module. The data calculation and sorting module performs weight calculation and priority sorting on each data frame in each data item to ensure that key data is transmitted first and avoid delays or losses of key data caused by network congestion. The data aggregation and transmission module compresses the data to reduce the amount of transmitted data and avoid network bandwidth being occupied by useless data, thereby improving the efficiency of signal transmission and reducing network congestion. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0032] Figure 1 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0033] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the specific implementation methods, structures, features and effects of the present invention are described in detail below in conjunction with the accompanying drawings and preferred embodiments.

[0034] The roads in rural areas or urban villages are usually narrow and complex, and many places are not paved with hardened roads. These problems will significantly affect the deployment of traditional fire trucks when a fire occurs. Due to the large size of fire trucks, it is difficult to pass through narrow streets and crowded residential areas, which may lead to longer response times. Therefore, converting tricycles into fire trucks is a practical solution. "Sanbengzi" is another name for fire motorcycles or light fire trucks. "Sanbengzi" is a small fire truck specially designed for rapid response, which can quickly arrive at the scene in narrow streets or traffic jams. They are equipped with basic fire-fighting equipment for firefighting, such as water tanks, water pumps, water guns and fire extinguishers, and are equipped with positioning devices and communication response equipment between the command center and the command center. During firefighting and rescue, the status data, fault data and fire-fighting data are uploaded to the command center to facilitate data synchronization of the command center and make commands based on the uploaded data. Under the existing technology, there is an electric tricycle that can pass through narrow roads, has complete firefighting equipment and a simple structure, commonly known as "Sanbengzi". As a small fire truck, "Sanbengzi" has the advantages of strong maneuverability and the ability to quickly reach narrow streets,

[0035] However, in actual applications, due to their small size and limited load capacity, multiple "three-wheelers" are often required to work together. This results in a large number of fire-fighting devices uploading data at the same time, increasing the pressure on network bandwidth, especially in narrow streets or complex environments, where signal transmission is easily interfered with, further exacerbating the problem of network congestion.

[0036] See also Figure 1 The present embodiment provides a three-wheeled vehicle cloud fire-fighting mobile emergency rescue fire-fighting system, including multiple data uploading units and a command center. The multiple data uploading units are used for uploading data of multiple fire-fighting devices. The multiple fire-fighting devices include water tanks, water pumps, water guns and fire extinguishers, etc., which are placed on the "three-wheeled vehicle" respectively, and also include water intake equipment and other fire-fighting equipment. In order to facilitate firefighters to take and use them, the fire-fighting devices are generally connected to the command center through intelligent devices to facilitate the command center to plan and guide the scene according to the water intake equipment near the fire point, that is, the fire-fighting device is provided with a data uploading unit for data uploading and a corresponding receiving unit for receiving data.

[0037] However, due to the large number of fire-fighting devices and the limitations of the use environment of the "three-wheeled vehicle", the fire-fighting devices upload a lot of data to the command center, which is easy to cause network transmission congestion in a short period of time. Therefore, a relay station processor is also included. The relay station processor is a transfer station between multiple fire-fighting devices and the command center. Multiple data uploading units are electrically connected to the relay station processor and upload data respectively. The relay station processor module stores and processes the data and then uploads it to the command center;

[0038] The relay station processor includes a data collection and screening module, a data calculation and sorting module, and a data aggregation and transmission module;

[0039] A neural network model is preset in the data acquisition and screening module. The data acquisition and screening module is used to classify the data frames uploaded by each data uploading unit according to the neural network model. The data frame in this scheme refers to a data transmission unit. The types of data items include: Item 1: device status data item, Item 2: device failure data item and Item 3: device fire extinguishing data item. The three types of data items are classified and sent to the data calculation and sorting module. The data is classified in the first step through the data acquisition and screening module to facilitate subsequent analysis and transmission of large data groups.

[0040] The neural network model set up in the data collection and screening module can automatically identify different types of fire protection data and then classify them. The neural network model uses the cross entropy loss function as the loss function and uses the stochastic gradient descent algorithm to optimize the training model. Before the data collection and screening module is put into use, the historical data of the fire protection system can be used as a training set. After multiple training and learning, the neural network model can better distinguish between device status, faults and fire extinguishing data.

[0041] The data calculation and sorting module calculates the weight value of each data frame in each data item respectively, and sorts the priority of each data frame in each data item respectively, extracts the data frames with consistent sorting results from the data frames in each data item to generate multiple sorted subsequences, and transmits each subsequence to the data aggregation transmission module according to the sorting results. Each subsequence includes three data items; that is, one subsequence includes three data frames: a data frame representing the device status, a data frame representing the device failure; and a data frame representing the device fire extinguishing data, and each data frame is consistent with the sorting result of the item it is in, for example, the first subsequence includes: the data frame ranked first in the device status data item, the data frame ranked first in the device failure data item, and the data frame ranked first in the device fire extinguishing data item, and the subsequent subsequence combination method is analogous.

[0042] Since the situation at the fire scene is changing dynamically, the data priority division needs to adapt to the changes in the fire situation. Therefore, the data calculation and sorting module uses the hierarchical analysis method to dynamically calculate the weight value of each type of data item and sort the priorities to ensure the scientificity and rationality of the priority evaluation. For example, when the fire suddenly intensifies or a new fire source appears, the system should immediately raise the priority of the status data of the fire extinguisher, water tank, and water pump to the highest level, and send the overall sorting results to the data aggregation transmission module, that is, the data calculation and sorting module uses the hierarchical analysis method to dynamically adjust the sorting conditions according to needs.

[0043] The data calculation and sorting module transmits each subsequence to the data aggregation transmission module according to the array sorting result. The data aggregation transmission module is used to compress each subsequence and then transmit it to the command center in sequence according to the sorting result;

[0044] The command center makes instructions based on the data transmitted by the data aggregation transmission module and feeds the instructions back to the relay station processor. The relay station processor commands multiple fire-fighting devices to work according to the instructions.

[0045] By adding a relay station processor between the signal exchanges of multiple fire-fighting devices and the command center, the data transmitted from the fire-fighting devices to the command center is processed in advance. The relay station processor includes a data acquisition and screening module, a data calculation and sorting module and a data aggregation and transmission module. The data is preliminarily classified through the data acquisition and screening module, and the processed data is transmitted to the data calculation and sorting module. The data calculation and sorting module performs weight calculation and priority sorting on each data frame in each data item to ensure that key data is transmitted first and avoid delays or losses of key data caused by network congestion; the data is compressed through the data aggregation and transmission module to reduce the amount of transmitted data and avoid network bandwidth being occupied by useless data, thereby improving the efficiency of signal transmission and reducing network congestion.

[0046] In order to ensure that the format of data uploaded by multiple data upload units is consistent and to ensure the convenience of subsequent data processing, in one embodiment, the relay station processor and multiple data upload units communicate with each other within the same transmission network, and data can be exchanged between signals in the same frequency band or other separate signal exchange methods. The transmission network uses the same clock protocol, such as PTP or NPT, that is, each data frame uploaded by multiple data upload units has a timestamp and a consistent format, which facilitates the subsequent data acquisition and screening module to classify and process the data.

[0047] At the fire scene, the relay station processor may be affected by electromagnetic interference, signal interruption or physical damage, resulting in data loss or transmission failure. Therefore, in order to ensure the real-time and reliability of data transmission and to reduce the possibility of redundancy in the signal transmission channel, the communication between the relay station processor and the command center adopts multi-path transmission. That is, the relay station processor can upload data to the command center through multiple communication links (such as Wi-Fi, 4G / 5G, Mesh network, etc.). If a path fails or the signal is poor, the relay station processor can automatically switch to other available paths to ensure the continuity of data transmission, that is, design multiple backup signal transmission channels for signal transmission between the relay station processor and the command center. When a transmission channel has a problem, it can switch to a new signal transmission channel to prevent signal interruption between the relay station processor and the command center.

[0048] In order to monitor the smoothness of the signal transmission channel between the command center and the relay station processor in real time, the relay station processor also includes a local cache module and a transmission signal monitoring module; the transmission signal monitoring module can deploy traffic monitoring tools such as SNMP on routers or switches to monitor transmission signals.

[0049] The signal monitoring module is used to monitor the margin of the data transmission channel between the data aggregation transmission module and the command center, and when the margin of the data transmission channel is less than the margin low threshold, send a cache signal to the data aggregation transmission module, and the data aggregation transmission module transmits the data to the local cache module for local caching;

[0050] When the data transmission channel margin recovers to a margin high threshold, the data monitoring module sends an upload signal to the data aggregation transmission module;

[0051] The data aggregation transmission module sorts the data transmitted by the local cache module by timestamp and transmits it to the command center. The margin low threshold and margin high threshold can calculate the signal transmission channel margin according to the signal transmission method used between the relay station processor and the command center. For example, a router or switch is used between the command center and the relay station to exchange signals. By deploying traffic monitoring tools such as SNMP on the router or switch, the current network traffic situation can be obtained in real time, including inbound and outbound traffic, bandwidth utilization, etc. For example, if the data obtained is broadband utilization, the remaining amount of the current broadband is calculated by the broadband utilization, and the remaining amount is the margin of this solution.

[0052] The bandwidth utilization threshold can be set according to actual needs. For example, when the bandwidth utilization exceeds 80%, the system can trigger an alarm. The margin corresponding to the bandwidth utilization at this time is the low margin threshold, which is specifically set according to the signal transmission equipment used.

[0053] The local cache module equipped in the relay station processor can temporarily store the received data when the network is busy or the signal is unstable. When the network condition improves, the local cache module transmits its cached data to the data aggregation transmission module, which then transmits the data to the command center. This can avoid data loss caused by network interruption.

[0054] Furthermore, when network congestion occurs, subsequences with high priorities may be preferentially transmitted to the command center.

[0055] In order to filter useless data in advance to reduce the computational difficulty caused by redundant data and the occupation of channels caused by subsequent transmission, in one embodiment, the data collection and screening module includes a filtering unit, which is used to filter the data uploaded by the data uploading unit;

[0056] The filtering unit includes performing deduplication processing on the data uploaded by the data uploading module, and the screening conditions for deduplication processing include the timestamp and the IP address of the device where the numerical data frame is located;

[0057] Filtering includes cleaning. The filtering unit cleans the abnormal data uploaded by each data uploading unit by setting the threshold of the data frame of each data item. The threshold of each data frame can be specifically set by the equipment status parameters required by multiple fire-fighting devices, the working parameters of the normal operation of the equipment, and the fire-fighting parameters of the relevant devices. The threshold of the data frame in each data item can also be directly traced back to the corresponding equipment parameters according to the IP address corresponding to the data frame, and then directly searched and judged. The threshold here represents whether the specific value reflected by the data frame is normal under the corresponding implementation scenario. For example, the capacity of the water tank on a certain fire-fighting device is 20L, but the amount of water used in the uploaded fire-fighting data is 21L. Then the data obviously does not meet the normal range of the corresponding device, and the filtering unit cleans the data.

[0058] The cleaning algorithm can use the One-Class SVM model for cleaning. The One-Class SVM model is an unsupervised learning algorithm specifically designed to handle single-class classification problems. It learns the boundaries of normal data and regards points beyond the boundaries as abnormal points. The One-Class SVM model automatically identifies and marks abnormal data for the data stream received by the data acquisition and screening module. Whenever a new data point is uploaded, the model will detect it to determine whether it is an abnormal point. First, a large amount of normal data needs to be collected. This data should cover the normal range of the three types of data items of fire protection equipment. Extract data features from the normal data, set boundaries, and then perform model training;

[0059] Because a large amount of data is uploaded to the command center by multiple fire-fighting devices, in order to track or search the data after a fire is extinguished, it is necessary to store and back up the massive data. In one embodiment, the cloud is also included, and the data aggregation transmission module of the relay station processor stores and backs up the data uploaded to the command center through the cloud.

[0060] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Although the present invention has been disclosed as a preferred embodiment as above, it is not used to limit the present invention. Any technical personnel in this field can make some changes or modify the technical contents disclosed above into equivalent embodiments without departing from the scope of the technical solution of the present invention. However, any brief modifications, equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention are still within the scope of the technical solution of the present invention.

Claims

1. The Sanbengziyun fire mobile emergency rescue fire extinguishing system is characterized by: It includes a plurality of fire fighting devices and a command center, wherein the plurality of fire fighting devices include a data uploading unit for transmitting data back to a relay station processor, and the plurality of data uploading units are used for uploading data of the fire fighting devices, and also includes a relay station processor, wherein the plurality of data uploading units are respectively electrically connected to the relay station processor and upload data, and the relay station processor module stores and processes the data and then uploads it to the command center; The relay station processor includes a data collection and screening module, a data calculation and sorting module and a data aggregation and transmission module, and the data collection and screening module, the data calculation and sorting module and the data aggregation and transmission module are electrically connected to each other; The data collection and screening module is used to classify the data uploaded by the multiple data uploading units into data items, the types of data items include: item one: device status data item, item two: device failure data item and item three: device fire extinguishing data item, and send the three types of data items to the data calculation and sorting module; The data calculation and sorting module calculates the weight value of each data frame in each data item, and sorts the priority of each data frame in each data item, extracts data frames with consistent sorting results from the data frames in each data item to generate multiple subsequences, each of which includes three data items, and transmits each subsequence to the data aggregation transmission module according to the sorting results; The data aggregation transmission module is used to compress each subsequence and transmit it to the command center in sequence according to the sorting results; The command center makes instructions according to the data transmitted by the data aggregation transmission module, and feeds back the instructions to the relay station processor, and the relay station processor commands multiple fire-fighting devices to work according to the instructions.

2. The three-bounce cloud fire mobile emergency rescue fire extinguishing system according to claim 1 is characterized by: The relay station processor and the multiple data upload units communicate with each other in the same transmission network, and the transmission network uses the same clock protocol, that is, in each data frame uploaded by the multiple data upload units, the data in each frame has a timestamp and is in the same format.

3. The three-bounce cloud fire mobile emergency rescue fire extinguishing system according to claim 2 is characterized by: The relay station processor also includes a local cache module and a transmission signal monitoring module; The transmission signal monitoring module is used to monitor the margin of the data transmission channel between the data aggregation transmission module and the command center, and when the margin of the data transmission channel is less than the margin low threshold, send a cache signal to the data aggregation transmission module, and the data aggregation transmission module transmits the data to the local cache module for local caching; When the data transmission channel margin recovers to a margin high threshold, the data monitoring module sends an upload signal to the data aggregation transmission module; The data aggregation transmission module sorts the data transmitted by the local cache module according to timestamps and transmits them to the command center.

4. The three-bounce cloud fire mobile emergency rescue fire extinguishing system according to claim 2 is characterized by: The data collection and screening module includes a filtering unit, and the filtering unit is used to filter the data uploaded by the data uploading unit; The filtering unit includes performing deduplication processing on the data uploaded by the data uploading module, and the screening conditions of the deduplication processing include the timestamp and the IP address of the data frame; The filtering unit also includes cleaning the data. The filtering unit cleans the abnormal data uploaded by each of the data uploading units by setting a threshold value of a data frame of each data item.

5. The three-bounce cloud fire mobile emergency rescue fire extinguishing system according to claim 4 is characterized by: It also includes a data alarm module, which identifies the abnormal data filtered out by the filtering unit and traces it back to the IP address of the fire-fighting device in the data frame. The data alarm unit sends the IP address of the fire-fighting device to the command center.

6. The three-bounce cloud fire mobile emergency rescue fire extinguishing system according to claim 1 is characterized by: A backup data transmission channel is provided between the relay station processor and the command center.

7. The three-bounce cloud fire mobile emergency rescue fire extinguishing system according to claim 1 is characterized by: It also includes a cloud, and the data aggregation transmission module of the relay station processor backs up the data uploaded to the command center and stores it through the cloud.

8. The three-wheeled cloud fire mobile emergency rescue fire extinguishing system according to claim 2 is characterized by: The clock protocol is PTP.

9. The three-wheeled cloud fire mobile emergency rescue fire extinguishing system according to claim 1 is characterized by: The data collection and screening module has a built-in neural network model, and the neural network model is used for data classification.

10. The three-bounce cloud fire mobile emergency rescue fire extinguishing system according to claim 1 is characterized by: The data calculation and sorting module uses the hierarchical analysis method to prioritize various data items.

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