Fire-fighting host information processing method and device, equipment and storage medium

Through the firefighting digital transmission terminal equipment monitoring and transmitting the fire host printer data to the IOT platform to decode, the problem of firefighting host information being limited to the fire control room is solved, the intelligent monitoring and management of the firefighting system is realized, and the emergency response capability is improved.

CN120390023APending Publication Date: 2025-07-29SUZHOU YINGTIAN COMMERCIAL MANAGEMENT CO LTD
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Patent Information

Application Number
CN202510296484.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-13
Publication Date
2025-07-29

AI Technical Summary

Technical Problem

The information of the fire engine is limited to the disinfection control room, which makes the information unable to be shared in real time. Relying on manual monitoring is prone to omissions and delays, affecting the efficiency of emergency response.

Method used

Through the fire-fighting digital transmission terminal equipment, the fire-fighting host printer data is monitored in real time, and the IOT platform is decoded and transmitted to the application layer for processing, extracting key information, and realizing remote monitoring and management.

Benefits of technology

Real-time capture and digital processing of fire host information is realized, data readability and availability are improved, fire prevention and emergency response capabilities are enhanced, and intelligent monitoring and management of fire protection systems are realized.

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Abstract

The invention discloses a fire-fighting host information processing method and device, equipment and a storage medium, and relates to the technical field of intelligent fire fighting and the Internet of Things, and the fire-fighting host information processing method comprises the steps: monitoring printer data of a fire-fighting host; the printer data is transmitted to an IOT platform, so that the IOT platform feeds back data content, and the data content is obtained by decoding the printer data through the IOT platform; the data content is processed through an application layer, target information is obtained, and the application layer is arranged on the fire-fighting data transmission terminal equipment. According to the invention, the problem that the information of the fire-fighting host is only limited in a fire control room and cannot be shared in real time is solved, an accurate decision basis is provided for management and emergency response of the fire-fighting system, fire prevention and emergency response capabilities are enhanced, and intelligent monitoring and management of the fire-fighting system are realized.
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Description

Technical Field

[0001] This application relates to the technical fields of intelligent fire protection and the Internet of Things, and particularly relates to a method, device, equipment, and storage medium for processing fire control host information. Background Art

[0002] As the core device of the automatic fire alarm system, the fire control host undertakes important functions such as real-time monitoring of fire signals, feedback of equipment status, and linkage control of fire protection equipment. In fire prevention and emergency response, various types of information of the fire control host are crucial for timely detection of fire hazards, rapid response to fire incidents, and efficient handling of faults. Therefore, ensuring the accurate, timely transmission, and effective processing of fire control host information is of great significance for protecting the lives of people and reducing property losses.

[0003] Currently, the information of the fire control host is mainly output through its built-in display screen and printer. Duty officers usually need to monitor the display screen of the fire control host in the fire control room, manually record alarm information, fault information, etc., and perform subsequent processing based on this information. Once a fire or fault occurs, the duty officer needs to manually notify relevant personnel for handling and manually initiate the emergency plan.

[0004] However, this method relying on manual monitoring and manual processing has many problems. First, manual monitoring is prone to fatigue, negligence, etc., resulting in information omission or delayed processing. Second, the method of manual recording and notification is inefficient and cannot respond quickly when a fire or fault occurs. In addition, the limitations of the fire control room make the information of the fire control host unable to be shared in real time with other relevant personnel and departments, resulting in untimely information transmission and affecting the efficiency of emergency response. Therefore, the limitation of various types of information of the fire control host in the fire control room has become an urgent problem to be solved.

[0005] The above content is only used to assist in understanding the technical solution of this application, and does not represent an admission that the above content is prior art. Summary of the Invention

[0006] The purpose of this application is to provide a method, device, equipment, and storage medium for processing fire control host information, aiming to solve the technical problem that various types of information of the fire control host are limited in the fire control room.

[0007] To achieve the above purpose, this application proposes a method for processing fire control host information. The method is applied to a fire protection system, and the fire protection system includes a fire control host and a fire data transmission terminal device. The fire data transmission terminal device is connected to the printer interface of the fire control host. The method includes:

[0008] Listening to the printer data of the fire control host;

[0009] Transfer the printer data to the IOT platform so that the IOT platform can feedback the data content, which is obtained by the IOT platform decoding the printer data;

[0010] Process the data content through the application layer to obtain target information, and the application layer is provided on the fire data transmission terminal device.

[0011] In one embodiment, the target information includes target fault information and fire alarm information. The step of processing the data content through the application layer to obtain target information, where the application layer is provided on the fire data transmission terminal device, includes:

[0012] Screen the data content in the application layer to obtain initial fault information and fire alarm information;

[0013] Classify and process the initial fault information to obtain target fault information.

[0014] In one embodiment, the step of screening the data content in the application layer to obtain initial fault information and fire alarm information includes:

[0015] Perform data cleaning on the data content in the application layer to obtain target data;

[0016] Extract features from the target data to obtain time features, device status features, alarm type features, and alarm level features;

[0017] Perform fault recognition and fire alarm recognition on the time features, the device status features, the alarm type features, and the alarm level features through a convolutional neural network to obtain initial fault information and fire alarm information.

[0018] In one embodiment, after the step of classifying and processing the initial fault information to obtain target fault information, it further includes:

[0019] Send the fire alarm information to a first preset device to initiate an emergency plan;

[0020] Generate a maintenance work order according to the target fault information and send the maintenance work order to a second preset device for equipment maintenance.

[0021] In one embodiment, the step of listening to the printer data of the fire host includes:

[0022] Set the listening port, the communication parameters of the listening port, the data format, and the filtering rules;

[0023] When the setting is completed, start the listening function to obtain the printer data of the fire host.

[0024] In one embodiment, the step of transmitting the printer data to the IOT platform includes:

[0025] Enable the data transparent transmission mode;

[0026] When the data transparent transmission mode is enabled, set the data transmission path and data transmission protocol;

[0027] Transmit the printer data to the IOT platform according to the data transmission path and data transmission protocol.

[0028] In one embodiment, the data content is obtained by decoding the printer data according to a decoding rule; the decoding rule is obtained by the IOT platform according to the data output protocol of the printer.

[0029] In addition, to achieve the above object, the present application also proposes a processing device for fire host information, and the device includes:

[0030] A data acquisition module, configured to monitor the printer data of the fire host;

[0031] A data decoding module, configured to transmit the printer data to the IOT platform, so that the IOT platform feeds back data content, and the data content is obtained by the IOT platform decoding the printer data;

[0032] A data processing module, configured to process the data content through an application layer to obtain target information, and the application layer is disposed on the fire data transmission terminal device.

[0033] In addition, to achieve the above object, the present application also proposes a processing device for fire host information, and the device includes: a memory, a processor, and a computer program stored on the memory and executable on the processor, and the computer program is configured to implement the steps of the processing method for fire host information as described above.

[0034] In addition, to achieve the above object, the present application also proposes a storage medium, the storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium, and when the computer program is executed by a processor, the steps of the processing method for fire host information as described above are implemented.

[0035] In addition, to achieve the above object, the present application also provides a computer program product, and the computer program product includes a computer program, and when the computer program is executed by a processor, the steps of the processing method for fire host information as described above are implemented.

[0036] One or more technical solutions proposed by the present application have at least the following technical effects:

[0037] First, the fire digital transmission terminal device is connected to the printer interface of the fire host, and monitors the data output by the printer in real time, ensuring that the key information of the fire host can be captured and digitized in a timely manner, avoiding information omission. Then, the device sends the monitored printer data to the IOT platform through the 4G wireless transmission module. The IOT platform decodes the received data, restores the readable data content and feeds it back to the fire digital transmission terminal device, realizing remote data transmission and digital processing, improving the readability and usability of the data, enabling the fire host information to break through the limitations of the fire control room, and realizing remote monitoring and management. Finally, the application layer further processes the decoded data content, extracts the key information, provides accurate decision-making basis for the management and emergency response of the fire protection system, further enhances the fire prevention and emergency response capabilities, and realizes the intelligent monitoring and management of the fire protection system. Description of the Drawings

[0038] The drawings here are incorporated into the specification and form a part of this specification, showing the embodiments in line with this application, and are used together with the specification to explain the principles of this application.

[0039] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0040] Figure 1 It is a schematic flowchart provided for the first embodiment of the method for processing fire host information of this application;

[0041] Figure 2 It is a schematic flowchart provided for the second embodiment of the method for processing fire host information of this application;

[0042] Figure 3 It is a schematic module structure diagram of the device for processing fire host information in the embodiments of this application;

[0043] Figure 4 It is a schematic device structure diagram of the hardware operating environment involved in the method for processing fire host information in the embodiments of this application.

[0044] The realization of the purpose, functional features and advantages of this application will be further described in conjunction with the embodiments with reference to the drawings. Detailed Embodiments

[0045] It should be understood that the specific embodiments described here are only used to explain the technical solutions of this application, and are not used to limit this application.

[0046] To better understand the technical solution of this application, the following will be described in detail in conjunction with the accompanying drawings of the specification and specific implementation manners.

[0047] As the core of the automatic fire alarm system, the fire control host is responsible for monitoring fire signals, feedbacking device status, and controlling fire fighting equipment. The accurate transmission of its information is crucial for timely discovery of fire hazards and efficient emergency response. Currently, the information of the fire control host is mainly output through its built-in screen and printer, and relies on the manual recording and notification by the duty personnel for processing. However, this method is prone to information omission or delay due to human negligence, with low efficiency and inability to achieve real-time information sharing, which limits the speed and effect of emergency disposal.

[0048] The main solution of the embodiment of this application is that the fire digital transmission terminal device captures and digitizes key information in real time by connecting to the printer interface of the fire control host, and then transmits it to the IOT platform through the 4G wireless module for decoding and restoration, realizing remote transmission and management of data. The decoded data is further processed at the application layer to extract key information, providing accurate decision-making support for the management and emergency response of the fire protection system, thereby enhancing the fire prevention and response capabilities and realizing intelligent monitoring and management.

[0049] It should be noted that the execution subject of the embodiment of this application can be a computing service device with data processing, network communication, and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device, a fire digital transmission terminal device, etc. that can realize the above functions. Hereinafter, the fire digital transmission terminal device will be taken as an example to illustrate this embodiment and the following embodiments.

[0050] Based on this, the embodiment of this application provides a method for processing fire control host information, referring to Figure 1 , Figure 1 which is a schematic flowchart of the first embodiment of the method for processing fire control host information of this application.

[0051] In this embodiment, the method for processing fire control host information is applied to a fire protection system, the fire protection system includes a fire control host and a fire digital transmission terminal device, the fire digital transmission terminal device is connected to the printer interface of the fire control host, and the method includes steps S10 to S30:

[0052] Step S10, monitor the printer data of the fire control host.

[0053] It should be noted that the fire control host is the core device of the fire protection system, which is used to receive, process, and display various types of information in the fire protection system, such as fire alarm information, fault information, device status feedback information, etc. It is usually connected to devices such as fire detectors, alarms, and linkage modules, and can monitor fire signals in real time, feedback device status, and output relevant information through its built-in display screen and printer.

[0054] The fire digital data transmission terminal device is a device used to collect and transmit the information of the fire control host. It is connected to the printer interface of the fire control host and obtains the key information of the fire control host by listening to the data packets of the printer of the fire control host. This device has functions such as data collection, encapsulation, and transmission.

[0055] Printer data refers to the information output by the fire control host through the printer, including fire alarm information, fault information, device status feedback information, etc.

[0056] It can be understood that, first, the fire digital data transmission terminal device is connected to the printer interface of the fire control host through its interface to ensure a stable communication link is established between the two, so as to receive the data output by the printer in real time. Second, when the printer of the fire control host executes the printing task, the fire digital data transmission terminal device uses serial communication technology to synchronously listen to and capture the data packets sent by the printer. This process is achieved through a pre-set listening program to ensure the integrity and real-time nature of the data. Finally, the captured data packets are temporarily stored in the buffer of the fire digital data transmission terminal device to prepare for subsequent transmission and processing.

[0057] As an example, the steps of listening to the printer data of the fire control host include: setting the listening port, the communication parameters of the listening port, the data format, and the filtering rules; in the case of completion of the setting, starting the listening function to obtain the printer data of the fire control host.

[0058] The listening port refers to a specific interface or communication endpoint on the fire digital data transmission terminal device used to receive the printer data of the fire control host. It is usually a physical interface (such as a serial port) or a logical port used to establish a connection with the printer. In actual operation, the listening port needs to match the output port of the fire control host printer to ensure the correct transmission of data.

[0059] The communication parameters refer to the configuration parameters required for data transmission between the listening port and the fire control host printer. These parameters include baud rate, data bits, stop bits, parity bits, etc. For example, the baud rate determines the speed of data transmission, the data bits and stop bits determine the data format, and the parity bit is used for data verification to ensure the accuracy of transmission. The communication parameters must be consistent with the output settings of the printer, otherwise it will cause the data to be unable to be received correctly or appear as garbled characters.

[0060] The data format refers to the structure and encoding method of the data output by the fire control main machine printer. It defines the organization form of the data. For example, whether the data is output in text form or in a specific binary format; whether the data contains specific delimiters or identifiers, etc. During the monitoring process, clarifying the data format is a prerequisite for correctly parsing and processing the data. For example, if the data output by the printer is in text format and each piece of information is separated by a line break, then during monitoring, the data needs to be split and read according to this format.

[0061] The filtering rule refers to the rule used to screen and extract useful information when monitoring data. Since the data output by the fire control main machine printer may contain a large amount of redundant information, the filtering rule can help extract key information, such as fire alarm information or fault information. For example, keywords (such as "fire alarm", "fault") can be set as filtering conditions to only retain the data packets containing these keywords, thereby improving the efficiency and accuracy of data processing.

[0062] The monitoring function refers to the real-time data acquisition function that the fire control data transmission terminal device starts and continuously runs after completing the above settings. After the monitoring function is started, the device will capture the data output by the fire control main machine printer in real time according to the set monitoring port, communication parameters, data format, and filtering rules. The purpose of the monitoring function is to ensure that the data can be collected in a timely and accurate manner and transmitted to subsequent processing links (such as the IOT platform).

[0063] First, the fire control data transmission terminal device is connected to the printer interface of the fire control main machine through its built-in interface module to ensure a stable communication link is established between the two. Then, the communication configuration program inside the device configures the communication parameters according to the preset parameters to match the output settings of the fire control main machine printer, ensuring the accuracy and stability of data transmission. Next, the device defines the data format, clarifies the structure and encoding method of the printer output data, and determines the data delimiter or identifier to be able to correctly parse the data content subsequently. At the same time, the device sets the filtering rule, filters out the key information through the preset keywords or other conditions, and filters out the redundant data, thereby improving the efficiency and accuracy of data processing. After completing the above settings, the fire control data transmission terminal device starts the monitoring function, receives and processes the data output by the fire control main machine printer in real time, and ensures that the key information can be captured in a timely manner.

[0064] Step S20: Transmit the printer data to the IOT platform so that the IOT platform feeds back the data content, where the data content is obtained by the IOT platform decoding the printer data.

[0065] It should be noted that the IOT platform (Internet of Things platform) is a software platform built based on technologies such as cloud computing, big data, and artificial intelligence, mainly used to realize the data reception, processing, analysis, and management of Internet of Things devices. It is a virtual, network-based system, and its core function is to provide an intermediate layer for data interaction for Internet of Things devices, connecting the device side (such as a fire data transmission terminal device) and the application side (such as the application layer).

[0066] The data content refers to the specific information obtained after the IOT platform decodes the received printer data. These information are processed, readable, and meaningful data, reflecting the actual state of the fire control host, such as fire alarm information, fault information, device status feedback information, etc.

[0067] It can be understood that, first, the fire data transmission terminal device sends the collected printer data to the IOT platform through its 4G wireless transmission module and transparent transmission technology. After the IOT platform receives these data, it uses preset decoding rules and algorithms to parse the data and restore its original, readable information content. Subsequently, the IOT platform feeds back the decoded data content to the fire data transmission terminal device for further processing and analysis, so as to realize the real-time monitoring and intelligent management of the fire control host information.

[0068] As an example, the step of transmitting the printer data to the IOT platform includes: enabling the data transparent transmission mode; setting the data transmission path and data transmission protocol when the data transparent transmission mode is enabled; and transmitting the printer data to the IOT platform according to the data transmission path and data transmission protocol.

[0069] The data transparent transmission mode refers to a communication mode adopted by the fire data transmission terminal device when transmitting printer data. In this mode, the device does not modify or process the data content, but directly transmits the data in its original form from the sending end to the receiving end (IOT platform). This mode ensures the integrity and originality of the data, avoiding data loss or errors that may occur during the transmission process. The core advantage of the transparent transmission mode is to improve the efficiency and stability of data transmission, reduce the delay caused by data processing, and is particularly suitable for the fire control host information that needs to be transmitted in real time.

[0070] The data transmission path refers to the transmission route of printer data from the fire data transmission terminal device to the IOT platform, including the following links: (1) Fire data transmission terminal device: As the data sender, it sends data through its built-in 4G wireless transmission module. (2) Wireless network (4G network): As the data transmission medium, it transmits data from the fire data transmission terminal device to the server of the IOT platform. (3) IOT platform: As the data receiver, it is responsible for receiving and processing data from the fire data transmission terminal device. The setting of the data transmission path needs to ensure the efficient and stable transmission of data. At the same time, factors such as network coverage, signal strength, and transmission speed are considered to meet the need for real-time transmission of fire host information.

[0071] The data transmission protocol refers to a set of rules and standards followed during data transmission. It defines the data format, transmission method, error detection and correction mechanism, etc.

[0072] First, the fire data transmission terminal device enables the data transparent transmission mode to ensure that no modification or parsing is performed on the content of the printer data during transmission, and directly sends the data in its original form, thus ensuring the integrity and originality of the data. Then, in the case of the transparent transmission mode being enabled, the device sets the data transmission path according to the preset network configuration, that is, clarifies that the data will be transmitted to the specified IOT platform server address through the 4G wireless network. At the same time, the device configures the data transmission protocol. For example, the TCP / IP protocol is used to ensure the reliability of data transmission, or the MQTT protocol is used to adapt to the efficient transmission in the Internet of Things scenario. Finally, the device encapsulates the printer data into a format that conforms to the protocol requirements according to the set path and protocol, and sends it to the IOT platform through the 4G network to complete the data transmission process, providing a basis for subsequent data decoding and processing.

[0073] As an example, the data content is obtained by decoding the printer data according to the decoding rules; the decoding rules are obtained by the IOT platform according to the data output protocol of the printer.

[0074] The decoding rules refer to a set of specific operation guidelines and logics followed by the IOT platform when processing the received printer data, which are used to convert the original printer data into readable and understandable information content. These rules define how to parse the data format, structure, and encoding method in order to extract useful information.

[0075] The data output protocol refers to the communication specifications and format standards followed by the fire host printer when outputting data. It defines the data organization method, encoding rules, transmission format, and possible control characters, etc. The data output protocol is a set of rules set by the printer manufacturer to ensure that data can be correctly transmitted and parsed.

[0076] Step S30: Process the data content through the application layer to obtain target information, and the application layer is set on the fire protection data transmission terminal device.

[0077] It should be noted that the application layer is the top layer of the three-layer structure of the Internet of Things. Its main function is to process information through the cloud computing platform. The application layer is located on the fire data transmission terminal device and is responsible for intelligent screening, identification and classification of the data content decoded by the IOT platform.

[0078] Target information refers to key information with clear purpose and value obtained after further processing, analysis and screening of the decoded data content by the application layer. This information is a direct reflection of the operating status of the fire protection system and can provide a basis for subsequent decision-making, response and management.

[0079] As you can understand, the firefighting data transmission terminal first performs a preliminary screening of the decoded data received from the IoT platform, removing irrelevant information and extracting data relevant to the firefighting system's operating status. This is done to reduce the amount of data required for subsequent processing and improve efficiency. The device then classifies and tags the extracted data according to pre-set rules, generating target information to enable targeted processing of different types of data.

[0080] This embodiment provides a method for processing fire host information. First, the fire data transmission terminal device is connected to the fire host printer interface to monitor the data output by the printer in real time, ensuring that the key information of the fire host can be captured and digitized in a timely manner, avoiding the omission of information. Then, the device sends the monitored printer data to the IOT platform through the 4G wireless transmission module. The IOT platform decodes the received data, restores the readable data content and feeds it back to the fire data transmission terminal device, realizing remote transmission and digital processing of the data, improving the readability and availability of the data, and enabling the fire host information to break through the limitations of the fire control room and realize remote monitoring and management. Finally, the application layer further processes the decoded data content and extracts key information, providing an accurate decision-making basis for the management and emergency response of the fire system, further enhancing the fire prevention and emergency response capabilities, and realizing the intelligent monitoring and management of the fire system.

[0081] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above embodiment 1 can be referred to the above introduction and will not be described in detail later. Figure 2 , Figure 2 This is a flow chart of a second embodiment of the method for processing fire host information of the present application. The target information includes target fault information and fire alarm information. Step S30 of the method includes steps S31 to S32:

[0082] Step S31: Screen the data content at the application layer to obtain initial fault information and fire alarm information.

[0083] It should be noted that the initial fault information refers to the original information screened by the application layer from the decoded data content, which is related to the abnormal operation of the fire protection system equipment. These information reflect various possible fault states in the fire protection system, but have not been further classified and analyzed in detail.

[0084] It can be understood that, first, the application layer on the fire data transmission terminal device preliminarily screens the received decoded data content, quickly locates the data segments containing fault or fire alarm identifiers, and thus extracts the initial information related to faults and fire alarms. Second, the application layer marks the content related to faults as initial fault information and the content related to fire alarms as fire alarm information for subsequent targeted processing.

[0085] As an example, the step of screening the data content at the application layer to obtain initial fault information and fire alarm information includes: performing data cleaning on the data content at the application layer to obtain target data; extracting features from the target data to obtain time features, device status features, alarm type features, and alarm level features; and performing fault recognition and fire alarm recognition on the time features, the device status features, the alarm type features, and the alarm level features through a convolutional neural network to obtain initial fault information and fire alarm information.

[0086] Data cleaning refers to preprocessing the received decoded data content at the application layer to remove the noise data, duplicate data, format error data, or irrelevant information therein to ensure the quality and consistency of the data.

[0087] Feature extraction refers to extracting the key information that can reflect the essential features of the data from the target data. This process analyzes the structure and content of the data and extracts the features related to fault and fire alarm recognition so that the subsequent model can perform recognition and classification more efficiently.

[0088] Time features refer to the data related to the occurrence time of an event, such as the specific timestamp when an alarm or a fault occurs. These features are used to analyze the timeliness of the event and help judge the urgency of the event and the processing priority.

[0089] Device status features refer to the data related to the operating status of the fire protection equipment, such as whether the equipment is working properly and whether there is a fault signal. These features are used to judge the health status of the equipment and help identify the type and location of the fault.

[0090] The alarm type feature refers to the data related to the type of alarm event, such as smoke alarm, flame alarm, or manual alarm, etc. These features are used to distinguish different types of alarm events, helping to quickly locate the cause of the fire and take corresponding countermeasures.

[0091] The alarm level feature refers to the data related to the severity of the alarm event, such as level 1 alarm (severe fire) or level 2 alarm (slight smoke), etc. These features are used to evaluate the urgency of the alarm event, helping to determine the response strategy and resource allocation.

[0092] Convolutional Neural Network (CNN) is a deep learning model used to process data with a grid structure, such as images or sequence data. In this scenario, CNN is used to process the extracted feature data. By learning the patterns and relationships in the data, it realizes the automatic identification and classification of faults and fire alarms. CNN can automatically extract high-level features in the data, improving the accuracy and efficiency of identification. CNN is pre-trained through deep learning technology. During the training process, a large amount of labeled data (such as fault and fire alarm samples) is used as input. The features in the data are extracted through multiple convolutional layers and pooling layers, and then classified or identified through fully connected layers. The network continuously adjusts the weights through the backpropagation algorithm to optimize the model parameters to minimize the error between the prediction result and the true label. After multiple iterative trainings, CNN can learn the complex patterns and features in the data, thus having the ability to accurately classify and identify new input data, and finally being used for fault identification and fire alarm identification tasks.

[0093] Fault identification refers to using a convolutional neural network to analyze the extracted features, judge whether there is a device fault, and identify the specific type and location of the fault. The purpose of this process is to quickly locate the fault and generate initial fault information for subsequent repair and handling.

[0094] Fire alarm identification refers to using a convolutional neural network to analyze the extracted features, judge whether there is a fire alarm event, and identify the specific type and severity of the alarm. The purpose of this process is to quickly respond to the fire event and generate initial fire alarm information for starting the emergency plan and taking fire extinguishing measures.

[0095] First, the application layer on the fire digital transmission terminal device performs data cleaning on the received decoded data content. By filtering and screening operations, invalid or redundant information is removed, and the valid data related to the operation status of the fire protection system is retained. Secondly, feature extraction is performed on the cleaned target data. According to preset rules (formulated based on the historical data and experience summary of the fire protection system, used to define which data fields are related to faults or fire alarms, including the identification of specific keywords and the matching of data formats), time features, device status features, alarm type features, and alarm level features are extracted. This step aims to extract key information from a large amount of data for subsequent identification and classification. Finally, the extracted features are input into a pre-trained convolutional neural network model. The model automatically identifies fault and fire alarm events by analyzing the relationships and patterns between the features, and generates initial fault information and fire alarm information. This process uses deep learning to quickly and accurately identify key events, providing precise support for the intelligent management and emergency response of the fire protection system, and significantly improving the response speed and processing ability of the system.

[0096] Step S32: Classify the initial fault information to obtain target fault information.

[0097] It should be noted that the target fault information refers to the initial fault information after classification processing. After further sorting and analysis, these information have detailed contents such as clear fault types, priorities, handling suggestions, and associated devices, and can be directly used to guide on-site maintenance and fault handling.

[0098] It can be understood that, first, according to the preset fault classification criteria, the fault types in the initial fault information are classified. For example, faults are classified into categories such as line short circuit, equipment damage, communication fault, etc., so as to quickly locate the nature of the problem. Then, combined with the time when the fault occurred and the device status, the severity of the fault is evaluated to determine its priority. For example, faults affecting key areas are marked as high priority, so as to reasonably allocate maintenance resources. Then, according to the fault type and device information, specific handling suggestions are generated. For example, it is recommended to replace the damaged device or repair the line, providing clear guidance for maintenance personnel. Finally, the classified fault information is sorted into target fault information, which contains key contents such as detailed fault descriptions, priorities, handling suggestions, and associated devices.

[0099] As an example, after the step of classifying the initial fault information to obtain target fault information, it further includes: sending the fire alarm information to a first preset device to start an emergency plan; generating a maintenance work order according to the target fault information, and sending the maintenance work order to a second preset device for equipment maintenance.

[0100] The first preset device refers to the device preset in the system for receiving fire alarm information and triggering the emergency plan. This is usually the core control device or alarm device in the fire protection system, such as the alarm host in the fire control room, the monitoring terminal in the emergency command center, or the intelligent security platform connected to the fire protection system. Its function is to receive fire alarm information in real time and quickly activate the emergency plan through means such as audible and visual alarms, SMS notifications, and phone dialing to ensure that relevant personnel can respond to the fire incident in a timely manner.

[0101] The emergency plan refers to a set of detailed action plans formulated in advance to respond to emergencies such as fires. It includes the following key parts: (1) Monitoring and early warning: Establish a real-time monitoring system and immediately issue an early warning once fire alarm information is detected. (2) Information reporting: Rapidly report the fire alarm information to the emergency command center or relevant responsible persons. (3) Risk assessment: Evaluate the severity, impact range, and possible losses of the fire based on the fire alarm information. (4) Emergency response: According to the risk assessment results, activate the corresponding level of emergency plan, such as evacuating personnel and activating fire extinguishing equipment. (5) Post-disaster handling: Site cleaning, accident investigation, and restoration work after the fire is extinguished. The purpose of the emergency plan is to ensure that actions can be taken quickly and orderly during a fire to minimize casualties and property losses to the greatest extent.

[0102] The maintenance work order refers to the specific task order generated based on the target fault information for guiding equipment maintenance. It contains key information such as a detailed description of the fault, the location of the faulty equipment, handling suggestions, maintenance priority, and maintenance responsible person. The role of the maintenance work order is to standardize and streamline the fault information to ensure that maintenance personnel can quickly understand the fault situation and take corresponding maintenance measures. Through the maintenance work order, closed-loop management of fault handling can be achieved, improving maintenance efficiency and equipment reliability.

[0103] The second preset device refers to the device preset in the system for receiving the maintenance work order and notifying the maintenance personnel. This is usually the mobile terminal of the maintenance personnel (such as mobile phones, tablets), the workstation of the maintenance management system, or the intelligent operation and maintenance platform connected to the fire protection system. Its function is to promptly push the maintenance work order to the maintenance personnel to ensure that maintenance tasks can be quickly responded to and executed, so as to promptly repair the faulty equipment and restore the normal operation of the system.

[0104] In this embodiment, the data content decoded from the IOT platform is screened at the application layer to quickly identify data segments related to faults and fire alarms, thereby obtaining initial fault information and fire alarm information. Key information is extracted to avoid the interference of invalid data, improving the efficiency and accuracy of data processing. Secondly, the initial fault information is classified and processed to further organize the fault information into target fault information. This process generates more guiding maintenance work orders by clarifying the nature and priority of the faults, facilitating maintenance personnel to quickly locate problems and take corresponding measures. This embodiment can efficiently extract key information from massive data, accurately classify and process faults, effectively solve the problem that the information of the fire control host is limited to the fire control room, and improve the intelligent management level and emergency response ability of the fire protection system.

[0105] It should be noted that the above examples are only used to understand this application and do not constitute a limitation on the method for processing the information of the fire control host of this application. Based on this technical concept, more forms of simple transformations are within the protection scope of this application.

[0106] This application also provides a device for processing the information of the fire control host. Please refer to Figure 3 , the device for processing the information of the fire control host includes:

[0107] A data acquisition module 10, configured to monitor the printer data of the fire control host;

[0108] A data decoding module 20, configured to transmit the printer data to the IOT platform, so that the IOT platform feeds back data content, and the data content is obtained by the IOT platform decoding the printer data;

[0109] A data processing module 30, configured to process the data content through the application layer to obtain target information, and the application layer is disposed on the fire data transmission terminal device.

[0110] In one embodiment, the data processing module 30 is further configured to screen the data content at the application layer to obtain initial fault information and fire alarm information; classify and process the initial fault information to obtain target fault information.

[0111] In one embodiment, the data processing module 30 is further configured to perform data cleaning on the data content at the application layer to obtain target data; extract features from the target data to obtain time features, device status features, alarm type features, and alarm level features; perform fault recognition and fire alarm recognition on the time features, the device status features, the alarm type features, and the alarm level features through a convolutional neural network to obtain initial fault information and fire alarm information.

[0112] In one embodiment, the data processing module 30 is further configured to send the fire alarm information to a first preset device to activate an emergency plan; generate a maintenance work order according to the target fault information, and send the maintenance work order to a second preset device for equipment maintenance.

[0113] In one embodiment, the data acquisition module 10 is further configured to set a listening port, communication parameters, data format, and filtering rules of the listening port; and start a listening function to obtain printer data of the fire control host when the setting is completed.

[0114] In one embodiment, the data decoding module 20 is further configured to enable a data transparent transmission mode; set a data transmission path and a data transmission protocol when the data transparent transmission mode is enabled; and transmit the printer data to the IOT platform according to the data transmission path and the data transmission protocol.

[0115] The processing device for fire control host information provided in this application adopts the method for processing fire control host information in the above embodiment, and can solve the technical problem that various types of information of the fire control host are limited to the fire control room. Compared with the prior art, the beneficial effects of the processing device for fire control host information provided in this application are the same as those of the method for processing fire control host information provided in the above embodiment, and other technical features in the processing device for fire control host information are the same as the features disclosed in the method of the above embodiment, which will not be elaborated here.

[0116] This application provides a processing device for fire control host information. The processing device for fire control host information includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the method for processing fire control host information in the first embodiment above.

[0117] Next, refer to Figure 4 , which shows a schematic structural diagram of a processing device for fire control host information suitable for implementing the embodiments of this application. The processing device for fire control host information in the embodiments of this application may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 4The processing device for the fire control host information shown is merely an example and should not impose any limitations on the functions and scope of use of the embodiments of this application.

[0118] As Figure 4 shown, the processing device for the fire control host information may include a processing device 1001 (such as a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to the program stored in the ROM (Read Only Memory) 1002 or the program loaded from the storage device 1003 into the RAM (Random Access Memory) 1004. In the RAM 1004, various programs and data required for the operation of the processing device for the fire control host information are also stored. The processing device 1001, the ROM 1002, and the RAM 1004 are connected to each other through a bus 1005. The input / output (I / O) interface 1006 is also connected to the bus. Generally, the following systems may be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, an LCD (Liquid Crystal Display), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 can allow the processing device for the fire control host information to communicate with other devices wirelessly or wiredly to exchange data. Although the figure shows a processing device for the fire control host information with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or had alternatively.

[0119] Specifically, according to the embodiments disclosed in this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, the embodiments disclosed in this application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains program codes for executing the methods shown in the flowcharts. In such an embodiment, the computer program can be downloaded and installed from the network through the communication device, or installed from the storage device 1003, or installed from the ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the methods of the embodiments disclosed in this application are executed.

[0120] The processing device for fire control host information provided by this application adopts the method for processing fire control host information in the above-mentioned embodiment, and can solve the technical problem that various types of information of the fire control host are limited to the fire control room. Compared with the prior art, the beneficial effects of the processing device for fire control host information provided by this application are the same as those of the method for processing fire control host information provided by the above-mentioned embodiment, and other technical features in this processing device for fire control host information are the same as the features disclosed in the method of the previous embodiment, and will not be elaborated here.

[0121] It should be understood that each part disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in a suitable manner in any one or more embodiments or examples.

[0122] As described above, only the specific implementation manners of this application are provided, but the protection scope of this application is not limited thereto. Any person skilled in the art within the technical scope disclosed by this application can easily think of changes or substitutions, which should all be covered within the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

[0123] This application provides a computer-readable storage medium having computer-readable program instructions (i.e., computer programs) stored thereon, and the computer-readable program instructions are used to execute the method for processing fire control host information in the above-mentioned embodiment.

[0124] The computer-readable storage medium provided by this application can be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or any combination of the above. More specific examples of the computer-readable storage medium may include, but are not limited to: electrical connections with one or more wires, portable computer disks, hard disks, RAM (Random Access Memory), ROM (Read Only Memory), EPROM (Erasable Programmable Read Only Memory or flash memory), optical fibers, CD-ROM (CD-Read Only Memory, portable compact disk read-only memory), optical storage devices, magnetic storage devices, or any suitable combination of the above. In this embodiment, the computer-readable storage medium can be any tangible medium that contains or stores a program, and this program can be used by or combined with an instruction execution system, device, or device. The program code contained on the computer-readable storage medium can be transmitted by any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.

[0125] The above computer-readable storage medium may be included in the processing device of the fire host information; or it may exist independently without being assembled into the processing device of the fire host information.

[0126] The above computer-readable storage medium carries one or more programs. When the one or more programs are executed by the processing device of the fire host information, the processing device of the fire host information is caused to: monitor the printer data of the fire host; transmit the printer data to the IOT platform so that the IOT platform feeds back data content, where the data content is obtained by the IOT platform decoding the printer data; process the data content through the application layer to obtain target information, and the application layer is provided on the fire data transmission terminal device.

[0127] Computer program code for performing the operations of the present application may be written in one or more programming languages or combinations thereof. The above programming languages include object-oriented programming languages - such as Java, Smalltalk, C++; and also include conventional procedural programming languages - such as the "C" language or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, executed as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network - including a LAN (Local Area Network) or a WAN (Wide Area Network), or may be connected to an external computer (e.g., by using an Internet service provider to connect through the Internet).

[0128] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagram may represent a module, a program segment, or a part of code that contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than marked in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and the combination of blocks in the block diagram and / or flowchart, may be implemented by a dedicated hardware-based system for performing the specified functions or operations, or may be implemented by a combination of dedicated hardware and computer instructions.

[0129] The modules involved in the embodiments of the present application can be implemented in software or in hardware. Among them, the name of the module does not constitute a limitation to the unit itself in some cases.

[0130] The readable storage medium provided by the present application is a computer-readable storage medium, and the computer-readable storage medium stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned processing method of the fire control host information, which can solve the technical problem that various information of the fire control host is limited to the fire control room. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by the present application are the same as those of the processing method of the fire control host information provided by the above embodiment, and will not be elaborated here.

[0131] The present application also provides a computer program product, including a computer program, and when the computer program is executed by a processor, it implements the steps of the above-mentioned processing method of the fire control host information.

[0132] The computer program product provided by the present application can solve the technical problem that various information of the fire control host is limited to the fire control room. Compared with the prior art, the beneficial effects of the computer program product provided by the present application are the same as those of the processing method of the fire control host information provided by the above embodiment, and will not be elaborated here.

[0133] The above are only some embodiments of the present application, and do not limit the patent scope of the present application. All equivalent structural transformations made under the technical concept of the present application by using the content of the specification and drawings of the present application, or directly / indirectly applied to other related technical fields are included in the patent protection scope of the present application.

Claims

1. A method for processing fire host information, characterized in that, The method is applied to a fire protection system, which includes a fire protection host and a fire protection data transmission terminal device. The fire protection data transmission terminal device is connected to the printer interface of the fire protection host. The method includes: Listening to the printer data of the fire protection host; Transmitting the printer data to the IOT platform so that the IOT platform feeds back data content, which is obtained by the IOT platform decoding the printer data; Processing the data content through the application layer to obtain target information, where the application layer is provided on the fire protection data transmission terminal device.

2. The method according to claim 1, wherein The target information includes target fault information and fire alarm information. The step of processing the data content through the application layer to obtain target information, where the application layer is provided on the fire protection data transmission terminal device, includes: Screening the data content in the application layer to obtain initial fault information and fire alarm information; Classifying and processing the initial fault information to obtain target fault information.

3. The method according to claim 2, wherein The step of screening the data content in the application layer to obtain initial fault information and fire alarm information includes: Performing data cleaning on the data content in the application layer to obtain target data; Extracting features from the target data to obtain time features, device status features, alarm type features, and alarm level features; Performing fault identification and fire alarm identification on the time features, the device status features, the alarm type features, and the alarm level features through a convolutional neural network to obtain initial fault information and fire alarm information.

4. The method according to claim 2, characterized in that After the step of classifying and processing the initial fault information to obtain target fault information, it further includes: Sending the fire alarm information to a first preset device to initiate an emergency plan; Generating a maintenance work order according to the target fault information and sending the maintenance work order to a second preset device for equipment maintenance.

5. The method according to claim 1, wherein The step of listening to the printer data of the fire protection host includes: Setting a listening port, communication parameters of the listening port, data format, and filtering rules; Starting the listening function to obtain the printer data of the fire protection host when the setting is completed.

6. The method according to claim 1, wherein The step of transmitting the printer data to the IOT platform includes: Enabling the data transparent transmission mode; Setting a data transmission path and a data transmission protocol when the data transparent transmission mode is enabled; Transmitting the printer data to the IOT platform according to the data transmission path and the data transmission protocol.

7. The method according to any one of claims 1 to 6, characterized in that, The data content is obtained by decoding the printer data according to a decoding rule; the decoding rule is obtained by the IOT platform according to the data output protocol of the printer.

8. A processing device for fire host information, characterized in that The device includes: A data acquisition module for listening to the printer data of the fire protection host; A data decoding module for transmitting the printer data to the IOT platform so that the IOT platform feeds back data content, which is obtained by the IOT platform decoding the printer data; A data processing module for processing the data content through the application layer to obtain target information, where the application layer is provided on the fire protection data transmission terminal device.

9. A processing device for fire host information, characterized in that, The device includes: a memory, a processor, and a computer program stored on the memory and executable on the processor, the computer program being configured to implement the steps of the method for processing fire host information according to any one of claims 1 to 7.

10. A storage medium, characterized in that, The storage medium is a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the method for processing fire host information according to any one of claims 1 to 7 are implemented.

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