A fire protection data visualization monitoring system and its monitoring method

Abstract

This invention provides a fire protection data visualization monitoring system and its monitoring method. It includes a data acquisition module for collecting basic information about fire protection equipment and configured to monitor the equipment status of fire protection equipment installed in corridors, acquiring monitoring data; a preprocessing module for classifying and preprocessing the basic information and performing distortion preprocessing on the monitoring data; a monitoring module for determining whether the status of each fire protection device installed in the corridor has changed based on the monitoring data; if so, it triggers the visualization module to execute an alarm operation; the visualization module is configured to: construct an equipment layout diagram based on the basic information, respond to the alarm operation of the monitoring module, update the equipment layout diagram, and generate alarm information; and a data push module for sending the equipment layout diagram and alarm information to terminal devices. This invention solves the problem of failure to provide early warnings when fire protection equipment is moved or obstructed, leading to malfunction.

Description

Technical Field

[0001] This invention relates to the field of fire safety technology, and in particular to a fire data visualization monitoring system and its monitoring method. Background Technology

[0002] Fire protection facilities are a crucial guarantee for an organization to improve its fire resistance capabilities. Maintaining their good condition is essential for timely fire prediction, effective fire control and suppression, and facilitating personnel evacuation and firefighting and rescue operations. However, existing fire protection facilities lack real-time monitoring of their status. Consequently, after installation, fire protection equipment may malfunction due to obstruction, damage, or movement.

[0003] In the patent 202011078183.0, a smart fire protection data visualization monitoring system and its monitoring method, the status of fire protection facilities is monitored through visualization technology. When an accident occurs, the location of fire protection equipment can be determined, thereby improving the fire fighting function.

[0004] However, when dealing with malfunctions of fire-fighting equipment, the status information of the fire-fighting equipment may be from the cloud platform, so it is network data, which is the data of the fire-fighting equipment itself, rather than data specifically monitored by the fire-fighting equipment. Therefore, it can only judge the operating data of the fire-fighting equipment, but cannot judge the operating environment and status of the equipment.

[0005] Furthermore, when an equipment alarm is triggered, its visual interface can only display the equipment malfunction, but it cannot quickly locate the equipment. Therefore, in the event of an accident, it cannot quickly determine the distribution location of the abnormal fire-fighting equipment based on the equipment layout, and it cannot update the optimal equipment layout map in real time and issue real-time alarms when the alarming equipment does not know the exact alarm location. Summary of the Invention

[0006] This invention provides a fire data visualization monitoring system and its monitoring method to solve the problems mentioned in the background art.

[0007] On the one hand, this application proposes a fire data visualization monitoring system, including:

[0008] Data acquisition module: Used to collect basic information about fire protection equipment and configured to monitor the status of fire protection equipment installed in the corridor and obtain monitoring data;

[0009] Preprocessing module: Used to classify and preprocess basic information, and to perform distortion preprocessing on monitoring data;

[0010] Monitoring module: Used to determine whether the status of each fire-fighting device installed in the corridor has changed based on monitoring data. If so, it triggers the visualization module to perform an alarm operation.

[0011] The visualization module is configured to: construct a device layout diagram based on basic information, respond to alarm operations from the monitoring module, update the device layout diagram, and generate alarm information.

[0012] The data push module sends the device layout diagram and alarm information to the terminal device.

[0013] Preferably, the basic information includes the name, model, address, installation time, recent photos of the equipment, and life cycle of the fire-fighting equipment;

[0014] The monitoring data includes location information, sensor data, environmental video data, and equipment operation data.

[0015] Preferably, the monitoring module includes:

[0016] Position detection unit: used to acquire real-time position information of fire-fighting equipment and determine whether the position information of the corresponding fire-fighting equipment has changed; among which,

[0017] When the range of location information change exceeds the preset threshold, the fire-fighting equipment is moved, generating location alarm information;

[0018] Sensor data acquisition unit: used to acquire real-time sensor data from fire-fighting equipment and determine whether the sensor data exceeds a preset threshold range; among which,

[0019] When the sensor data exceeds the preset threshold range, determine the duration of the sensor data exceeding the preset threshold range, and issue an over-limit alarm based on the duration of the over-limit.

[0020] When a location alarm is detected, the target image of the corresponding fire-fighting equipment is extracted from the current environmental video data, and maintenance guidance information for the corresponding fire-fighting equipment is generated; among these...

[0021] When fire-fighting equipment simultaneously triggers over-limit alarms, the similarity between the target image and a preset reference image is calculated. If the similarity value is less than a set threshold, the fire-fighting equipment is blocked.

[0022] The target image contains fire-fighting equipment corresponding to the sensor data.

[0023] Preferably, the step of calculating the similarity between the target image and a preset reference image includes:

[0024] The target image is segmented and cropped frame by frame according to preset cropping conditions to obtain the image to be processed; where...

[0025] The images to be processed include fire-fighting equipment for which similarity calculations are required;

[0026] The preset cropping conditions include target image time sequence arrangement conditions based on the time axis and target image sharpness filtering conditions;

[0027] Set up a frame-segmented sliding window based on frame reading. Divide the image to be processed and the reference image into multiple image comparison boxes using the frame-segmented sliding window to generate a comparison image group.

[0028] The similarity of fire protection features between the images to be processed and the reference images in each group is calculated using a computational function.

[0029] Preferably, the similarity calculation function is:

[0030]

[0031] Where: uX and uY represent the mean values ​​of the image to be processed X and the reference image Y, respectively, σ X σ Y Let σ represent the standard deviations of the image to be processed, X, and the reference image, Y, respectively. X σ X σ Y σ Y σ represents the variance of the image to be processed, X, and the reference image, Y, respectively; XY C represents the covariance between the image to be processed X and the reference image Y; C1, C2 and C3 are constants to avoid the denominator being 0 and to maintain stability; usually, C1 = (K1L)^2, C2 = (K2L)^2, C3 = C2 / 2. Generally, K1 = 0.01, K2 = 0.03, L = 255.

[0032] Preferably, the step of constructing the device layout diagram based on the basic information includes:

[0033] Block unit: Used to pre-build descriptive blocks corresponding to each type of fire-fighting equipment in the graphics library;

[0034] Interface Unit: A functional interface item used to set the layout interface and generate the first device layout diagram and the second device layout diagram on the layout interface; wherein,

[0035] The first equipment layout diagram is an address layout diagram, which is configured to locate the data storage addresses of different fire-fighting equipment by describing the blocks.

[0036] The second layout diagram is a location layout diagram, which is configured to locate the distribution of different fire-fighting equipment by describing the blocks.

[0037] Type Unit: Used to classify fire equipment types based on basic information, and to build a classified call channel for data storage addresses according to equipment type on the layout interface;

[0038] Blueprint Unit: Used to obtain the architectural blueprint of the building where the fire protection equipment is located, and to set blueprint nodes according to their distribution locations; among which,

[0039] Blueprint nodes describe the degree of abnormality of the corresponding fire-fighting equipment through color depth and brightness;

[0040] Distributed Alert Unit: Used to set up an evaluation model between the classification call channel and the blueprint node. The evaluation model is used to evaluate the fire protection equipment of each blueprint node and determine the color depth of each blueprint node.

[0041] Preferably, the evaluation model includes a perception evaluation sub-model and a location evaluation sub-model; wherein,

[0042] The perception assessment sub-model is used to evaluate the operational data and real-time status perception data of fire-fighting equipment. Based on preset perception targets, it identifies outliers in the perception data of each fire-fighting device and adjusts the color depth of the corresponding fire-fighting equipment according to the outliers.

[0043] Sensing targets include operational wave sensing targets and sensory sensing targets.

[0044] The operation fluctuation sensing target adjusts the color depth of the corresponding fire-fighting equipment during operation based on the real-time fluctuation of the operation data and the distance between the target and the target.

[0045] The sensing target is used to directly determine the anomalies of fire-fighting equipment by implementing state sensing data, and when an anomaly is found, the color band depth of the corresponding fire-fighting equipment's blueprint node is adjusted to the maximum value.

[0046] Preferably, the data push module includes:

[0047] Selection Unit: Used to construct a selection matrix based on fire equipment and alarm information; wherein,

[0048] The selection matrix is ​​used to describe the distribution location of abnormal fire-fighting equipment and alarm information events;

[0049] First receiving unit: Used to connect the equipment layout diagram according to the selection matrix and convert it into a layout interface, and display the layout location of abnormal fire-fighting equipment through the layout interface;

[0050] The second receiving unit is used to generate guidance information for abnormal fire-fighting equipment by connecting the blueprint nodes of the equipment according to the selection matrix; wherein...

[0051] Guidance information is used for operation and maintenance guidance of abnormal fire-fighting equipment;

[0052] The third receiving unit is used to classify and encode abnormal fire-fighting equipment events in the user terminal according to the selection matrix, and associate the classification code with the color depth of the blueprint node. When the color depth of the blue node is normal, the classification code is not pushed in the user terminal.

[0053] Preferably, the visualization module includes:

[0054] Status visualization unit: used to create status information tables and status blocks for fire protection equipment installed in the corridor, wherein,

[0055] The status information table is used to collect statistical data on the status of fire-fighting equipment;

[0056] Status blocks are used to color-code status data within information tables;

[0057] A mapping between status markers and color markers;

[0058] Mapping control unit: Used to determine the real-time status of the current fire-fighting equipment and the color depth of the blueprint nodes based on the association mapping, and to control the description block in the equipment layout diagram corresponding to the current fire-fighting equipment to display the corresponding color depth;

[0059] Warning unit: used to generate a pop-up warning message to be pushed to the user terminal based on the corresponding color depth; wherein,

[0060] The warning message pop-up is associated with the device layout diagram and can directly call the device layout diagram.

[0061] A fire protection data visualization and monitoring method includes the following steps:

[0062] Collect basic information on fire protection equipment and configure it to monitor the status of fire protection equipment installed in the corridor, and obtain monitoring data;

[0063] Basic information is categorized and preprocessed, and the monitoring data is distorted and preprocessed.

[0064] Based on the monitoring data, determine whether the status of each fire-fighting device installed in the corridor has changed. If so, trigger a visual alarm operation.

[0065] Visual alarm operation involves constructing a device layout diagram based on basic information, responding to alarm operations from the monitoring module, updating the device layout diagram, and generating alarm information.

[0066] Send the equipment layout diagram and alarm information to the terminal device.

[0067] The beneficial effects of this invention are as follows:

[0068] This application uses visualization technology to construct an equipment layout diagram, and uses monitoring data to conduct real-time safety diagnosis and timely warning of the status of each fire-fighting equipment in the corridor, so as to avoid the fire-fighting equipment being blocked by debris or moved for a long time, and keep the fire-fighting facilities in good condition; patrol personnel can also check the status of each fire-fighting equipment at any time through the equipment layout diagram.

[0069] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description and the accompanying drawings.

[0070] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0071] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0072] Figure 1 This is a structural diagram of a fire data visualization and monitoring system according to an embodiment of the present invention;

[0073] Figure 2 This is a flowchart illustrating the calculation of similarity in an embodiment of the present invention;

[0074] Figure 3 This is a flowchart of a fire data visualization and monitoring method according to an embodiment of the present invention. Detailed Implementation

[0075] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0076] like Figure 1 As shown in the figure, this embodiment of the invention provides a fire data visualization monitoring system, including a data acquisition module, a data preprocessing module, a monitoring module, a visualization module, and a display screen.

[0077] Data acquisition module: Used to collect basic information about fire protection equipment and configured to monitor the status of fire protection equipment installed in the corridor and obtain monitoring data;

[0078] Preprocessing module: Used to classify and preprocess basic information, and to perform distortion preprocessing on monitoring data;

[0079] Monitoring module: Used to determine whether the status of each fire-fighting device installed in the corridor has changed based on monitoring data. If so, it triggers the visualization module to perform an alarm operation.

[0080] The visualization module is configured to: construct a device layout diagram based on basic information, respond to alarm operations from the monitoring module, update the device layout diagram, and generate alarm information.

[0081] The data push module sends the device layout diagram and alarm information to the terminal device.

[0082] The data preprocessing module is used to classify the collected basic information and perform corresponding preprocessing operations according to the data type of the monitoring data.

[0083] The monitoring module is used to determine whether the status of the fire-fighting equipment installed in the corridor has changed based on monitoring data. The status of the fire-fighting equipment includes three categories: normal, moved, and obstructed. When the fire-fighting equipment changes from the normal state to the moved or obstructed state, the visualization module is triggered to perform an alarm operation.

[0084] The visualization module is configured to: construct a device layout diagram based on basic information, respond to alarm operations from the monitoring module, update the device layout diagram, and generate alarm information;

[0085] The data push module sends the device layout diagram and alarm information to the terminal.

[0086] The working principle of the above technical solution is as follows:

[0087] Basic information and monitoring data are acquired through a cloud platform. It is worth noting that the fire protection equipment involved in this application includes automatic fire early warning systems, fire water systems, gas extinguishing systems, foam extinguishing systems, fire separation systems, smoke exhaust and ventilation systems, and fire emergency lighting and evacuation signage systems. The monitored fire protection equipment includes fire hydrants, fire boxes, foam extinguishers, fire separation systems, and external fire exits installed in corridors on each floor of the building, as well as equipment that is easily obstructed by piled-up items and cannot be used. In addition to data acquisition, the data acquisition module is equipped with a positioning function. Indoors, it uses Bluetooth broadcasting and a gateway to connect to the fire protection equipment for indoor positioning. Outdoors, it uses Beidou chips installed on the fire protection equipment to locate the equipment based on Beidou + NB-IoT, thus detecting whether the equipment has been moved.

[0088] The data preprocessing module is used to classify the collected basic information and perform corresponding preprocessing operations according to the data type. Distortion preprocessing is used to preprocess severely abnormal data in fire protection data or data that was not detected, and to extract the specific information of the corresponding fire protection equipment.

[0089] The monitoring module is used to determine whether the status of the fire-fighting equipment installed in the corridor has changed based on monitoring data. The status of the fire-fighting equipment includes three categories: normal, moved, and obstructed. When the fire-fighting equipment changes from the normal state to the moved or obstructed state, the visualization module is triggered to perform an alarm operation.

[0090] The visualization module is configured to build a device layout diagram based on basic information, respond to alarm operations from the monitoring module, update the device layout diagram, and generate alarm information.

[0091] The data acquisition module collects basic information and monitoring data of the fire-fighting equipment, and the preprocessing module preprocesses the data. The monitoring module confirms in real time whether the status of the equipment has changed based on the preprocessed monitoring data. If so, the visualization module is triggered to perform an alarm operation. The visualization module is responsible for constructing an equipment layout diagram based on the basic information and, after receiving the above alarm operation, updating the layout diagram and generating alarm information, and sending the alarm information to the terminal so that the user can confirm whether the fire-fighting equipment has been obstructed or moved.

[0092] The beneficial effects of the above technical solution are as follows:

[0093] This application uses visualization technology to construct an equipment layout diagram, and uses monitoring data to conduct real-time safety diagnosis and timely warning of the status of each fire-fighting equipment in the corridor, so as to avoid the fire-fighting equipment being blocked by debris or moved for a long time, and keep the fire-fighting facilities in good condition; patrol personnel can also check the status of each fire-fighting equipment at any time through the equipment layout diagram.

[0094] In one embodiment, the basic information includes the name, model, address, installation time, recent photos of the equipment, and lifespan of the fire-fighting equipment.

[0095] The monitoring data includes location information, sensor data, and environmental images.

[0096] Monitoring can be carried out using camera devices, photoelectric sensors, and positioning equipment. The models, installation locations, and arrangements of the camera devices, sensors, and positioning equipment can be set as needed, which will not be elaborated on here.

[0097] The beneficial effects of the above technical solution are as follows:

[0098] The above information allows for the construction of an equipment layout diagram, facilitating remote viewing by users without the need for on-site confirmation. By utilizing location information, sensor data, and environmental images, a preliminary determination can be made as to whether monitoring equipment is obstructed or moved, ensuring unobstructed fire escape routes and the safety of fire-fighting equipment, while also reducing the user's workload.

[0099] In one embodiment, the specific steps by which the monitoring module determines whether the status of the fire-fighting equipment installed in the corridor has changed based on monitoring data include:

[0100] Obtain real-time location information of fire-fighting equipment and determine whether the location information of the corresponding fire-fighting equipment has changed; among which...

[0101] When the range of location information change exceeds the preset threshold, the fire-fighting equipment is moved, generating location alarm information;

[0102] Acquire real-time sensor data from fire-fighting equipment and determine whether the sensor data exceeds a preset threshold range; among which...

[0103] When the sensor data exceeds the preset threshold range, determine the duration of the sensor data exceeding the preset threshold range, and issue an over-limit alarm based on the duration of the over-limit.

[0104] When a location alarm is detected, the target image of the corresponding fire-fighting equipment is extracted from the current environmental video data, and maintenance guidance information for the corresponding fire-fighting equipment is generated; among these...

[0105] When fire-fighting equipment simultaneously triggers over-limit alarms, the similarity between the target image and a preset reference image is calculated. If the similarity value is less than a set threshold, the fire-fighting equipment is blocked.

[0106] The target image contains fire-fighting equipment corresponding to the sensor data.

[0107] The working principle of the above technical solution is as follows:

[0108] Real-time monitoring of fire-fighting equipment is achieved by measuring the range of changes in location information. When the change exceeds a preset threshold, it can be determined that the equipment has been removed.

[0109] The obstruction status of fire-fighting equipment is monitored by the duration of changes in sensor data. When the sensor data exceeds the preset threshold range, the equipment may be obstructed.

[0110] Then, extract a frame of the target image from the environmental video data corresponding to the changed sensor data;

[0111] The structural similarity between the target image and a preset reference image is calculated. If the similarity value is less than a set threshold, the fire-fighting equipment is obscured. The target image contains the fire-fighting equipment.

[0112] The beneficial effects of the above technical solution are as follows:

[0113] An alarm will only be triggered when the change in location information exceeds a threshold. If the duration of the change in sensor data exceeds a preset duration, the structural similarity between the environmental image and the reference image will be used for further confirmation to avoid false alarms caused by temporary obstruction or maintenance.

[0114] like Figure 2 As shown, in one embodiment,

[0115] The step of calculating the similarity between the target image and the preset reference image includes:

[0116] The target image is segmented and cropped frame by frame according to preset cropping conditions to obtain the image to be processed; where...

[0117] The images to be processed include fire-fighting equipment for which similarity calculations are required;

[0118] The preset cropping conditions include target image time sequence arrangement conditions based on the time axis and target image sharpness filtering conditions;

[0119] Set up a frame-segmented sliding window based on frame reading. Divide the image to be processed and the reference image into multiple image comparison boxes using the frame-segmented sliding window to generate a comparison image group.

[0120] Calculate the structural feature similarity between the image to be processed and the reference image in each group.

[0121] The principle behind the above technical solution is as follows:

[0122] In calculating similarity, this application employs a frame-by-frame cropping operation based on preset cropping conditions. The purpose of frame-by-frame cropping is to compare the fire equipment image to be processed with the reference image in chronological order, thereby determining whether there are differences between the images. Compared with feature comparison in the prior art, this invention is based on sequential comparison of image comparison boxes. Moreover, the order and clarity of the target images are determined through preset cropping conditions, thereby enabling high-definition image comparison as well as sequential image comparison, accurately determining the structural similarity between images.

[0123] The beneficial effects of the above technical solution are as follows:

[0124] In calculating similarity, this invention considers both order and clarity similarity, which not only makes the similarity calculation more accurate but also avoids discrepancies in the calculation order.

[0125] The similarity calculation function is:

[0126]

[0127] Where: u X uY Let σ represent the mean of image X and Y, respectively. X σ Y Let σ represent the standard deviations of images X and Y, respectively. X σ X σ Y σ represents the variance of images X and Y, respectively. σXY represents the covariance of images X and Y. C1, C2, and C3 are constants to maintain stability and avoid the denominator being zero. Typically, C1 is taken as (K = L). ^2 C2 = (K2L) ^2 C3 = C2 / 2, generally K1 = 0.01, K2 = 0.03, L = 255.

[0128] The working principle of the above technical solution is as follows:

[0129] According to the preset cropping conditions, a sub-region containing the currently obscured fire equipment is cropped from the target image as the image to be processed. Then, the two images are divided into multiple image blocks using a sliding window to obtain multiple groups of image blocks. The structural feature similarity between the two image blocks in each group is calculated. Finally, the average value of the calculated structural feature similarity is taken as the average structural similarity between the two images.

[0130] The beneficial effects of the above technical solution are as follows:

[0131] The sub-region containing the currently obscured fire equipment is extracted from the target image as the image to be processed. Noise that may affect the structural similarity results is removed to avoid false alarms.

[0132] Preferably, the step of constructing the device layout diagram based on the basic information includes:

[0133] Block unit: Used to pre-build descriptive blocks corresponding to each type of fire-fighting equipment in the graphics library;

[0134] Interface Unit: A functional interface item used to set the layout interface and generate the first device layout diagram and the second device layout diagram on the layout interface; wherein,

[0135] The first equipment layout diagram is an address layout diagram, which is configured to locate the data storage addresses of different fire-fighting equipment by describing the blocks.

[0136] The second layout diagram is a location layout diagram, which is configured to locate the distribution of different fire-fighting equipment by describing the blocks.

[0137] Type Unit: Used to classify fire equipment types based on basic information, and to build a classified call channel for data storage addresses according to equipment type on the layout interface;

[0138] Blueprint Unit: Used to obtain the architectural blueprint of the building where the fire protection equipment is located, and to set blueprint nodes according to their distribution locations; among which,

[0139] Blueprint nodes describe the degree of abnormality of the corresponding fire-fighting equipment through color depth and brightness;

[0140] Distributed Alert Unit: Used to set up an evaluation model between the classification call channel and the blueprint node. The evaluation model is used to evaluate the fire protection equipment of each blueprint node and determine the color depth of each blueprint node.

[0141] The working principle of the above technical solution is as follows:

[0142] The purpose of constructing the layout diagram of fire protection equipment in this application is to determine the location of different fire protection equipment and to collect data on different fire protection equipment. The description block is configured as the function execution menu key of the fire protection equipment, which is used to execute the corresponding data call function after the user clicks it.

[0143] The first equipment layout diagram in the layout interface uses description blocks to link to the data storage address of the fire equipment after the user clicks on the description block, enabling quick retrieval of fire equipment data. Because this invention sets up a first equipment layout diagram, data retrieval is performed directly through the description blocks on the first equipment layout diagram. Therefore, because there is a dedicated data retrieval layout diagram, quick data retrieval can be achieved without having to perform step-by-step operations based on anomalies or log data, first determining the log, then the corresponding fire equipment, and finally determining the data transmission path, and then determining the data address through the data transmission path, etc.

[0144] The second equipment layout diagram in the layout interface is the location layout of fire protection equipment. By describing the blocks, the distribution location of different fire protection equipment can be directly located, the optimal location of each fire protection equipment can be determined, and the overall supervision and operation and maintenance control of fire protection equipment can be realized.

[0145] The purpose of the type unit is to construct classification channels, enabling direct data classification and transmission channels for fire equipment data address calls and fire equipment location monitoring on the first and second equipment layout diagrams. These classification call channels can be connected to the nodes of each fire equipment on the virtual building blueprint of the building where the fire equipment is located. Then, the abnormal situation of each fire equipment is judged by the evaluation model, and the specific abnormal situation of each blueprint node is reflected by the color depth of each blueprint node.

[0146] The beneficial effects of the above technical solution are as follows:

[0147] The system simulates the installation locations of all fire-fighting equipment using basic information. By clicking on any descriptive block in the equipment layout diagram, users can view the equipment image, brief information, location information, and data storage address, allowing for convenient real-time viewing. Furthermore, blueprint nodes can be used to display abnormalities of different fire-fighting equipment using specific colors. This abnormality display is linked to data acquisition.

[0148] In one embodiment,

[0149] The evaluation model includes a perception evaluation sub-model and a location evaluation sub-model; wherein...

[0150] The perception assessment sub-model is used to evaluate the operational data and real-time status perception data of fire-fighting equipment. Based on preset perception targets, it identifies outliers in the perception data of each fire-fighting device and adjusts the color depth of the corresponding fire-fighting equipment according to the outliers.

[0151] Sensing targets include operational wave sensing targets and sensory sensing targets.

[0152] The operation fluctuation sensing target adjusts the color depth of the corresponding fire-fighting equipment during operation based on the real-time fluctuation of the operation data and the distance between the target and the target.

[0153] The sensing target is used to directly determine the anomalies of fire-fighting equipment by implementing state sensing data, and when an anomaly is found, the color band depth of the corresponding fire-fighting equipment's blueprint node is adjusted to the maximum value.

[0154] The principle behind the above technical solution is as follows:

[0155] In evaluating the preferred abnormal states of each fire-fighting device, this invention employs a perception target system. This system is designed to correspond with the color depth of blueprint nodes, reflecting the degree of abnormality for each device. The perception target is an integrated assessment model based on baseline abnormal data limits, tailored to different fire-fighting devices and varying assessment requirements. It transforms a knowledge graph of all assessment criteria for fire-fighting equipment into a perception target based on target proximity parameters. Anomalies are determined by the specific perception distance between different data points of the fire-fighting device and the perception target. This distance also determines the color depth of the blueprint node; therefore, the closer the distance, the deeper the color depth of the blueprint node, and the greater the potential hazard caused by the anomaly.

[0156] Preferably, the data push module includes:

[0157] Selection Unit: Used to construct a selection matrix based on fire equipment and alarm information; wherein,

[0158] The selection matrix is ​​used to describe the distribution location of abnormal fire-fighting equipment and alarm information events;

[0159] First receiving unit: Used to connect the equipment layout diagram according to the selection matrix and convert it into a layout interface, and display the layout location of abnormal fire-fighting equipment through the layout interface;

[0160] The second receiving unit is used to generate guidance information for abnormal fire-fighting equipment by connecting the blueprint nodes of the equipment according to the selection matrix; wherein...

[0161] Guidance information is used for operation and maintenance guidance of abnormal fire-fighting equipment;

[0162] The third receiving unit is used to classify and encode abnormal fire-fighting equipment events in the user terminal according to the selection matrix, and associate the classification code with the color depth of the blueprint node. When the color depth of the blue node is normal, the classification code is not pushed in the user terminal.

[0163] The principle behind the above technical solution is as follows:

[0164] In the data push process of this application, when transmitting the monitoring data of fire-fighting equipment to the user terminal, a selection matrix is ​​set up. In this selection matrix, the fire-fighting equipment and its corresponding alarm time are correlated. The reason for using a selection matrix is ​​that it can be associated with the equipment layout diagram. Through the selection matrix, the association between the description blocks and blueprint nodes is achieved. This allows for rapid guidance of abnormal situations when abnormal data of fire-fighting equipment exists. Through this association, the abnormal location, abnormal state, color temperature of the abnormal node, abnormal data storage address, and specific content of the abnormal event can be determined immediately. This enables rapid event classification and coding of abnormal events. By rapidly classifying and coding abnormal events, the abnormal event can be quickly pushed when abnormal fire-fighting equipment is detected. Because the classification code is associated with the abnormal event of the fire-fighting equipment, it can be pushed immediately when an abnormal event occurs. Simultaneously, the color change of the blueprint node can be controlled to determine the degree of abnormal risk.

[0165] Preferably, the visualization module includes:

[0166] Status visualization unit: used to create status information tables and status blocks for fire protection equipment installed in the corridor, wherein,

[0167] The status information table is used to collect statistical data on the status of fire-fighting equipment;

[0168] Status blocks are used to color-code status data within information tables;

[0169] A mapping between status markers and color markers;

[0170] Mapping control unit: Used to determine the real-time status of the current fire-fighting equipment and the color depth of the blueprint nodes based on the association mapping, and to control the description block in the equipment layout diagram corresponding to the current fire-fighting equipment to display the corresponding color depth;

[0171] Warning unit: used to generate a pop-up warning message to be pushed to the user terminal based on the corresponding color depth; wherein,

[0172] The warning message pop-up is associated with the device layout diagram and can directly call the device layout diagram.

[0173] The working principle of the above technical solution is as follows:

[0174] A mapping relationship is established between the status of fire-fighting equipment installed in the corridor and the color of the corresponding tiles. Based on the status information table and status tiles, pop-up windows can be displayed, with the warning message pop-up window matching the user's message pop-up window color. When the status of a fire-fighting device changes (i.e., it is obscured or moved), the target color corresponding to the current status is displayed. Warning message pop-ups can also be generated. After seeing the warning information, users can click on the monitoring system, access all data of the fire-fighting equipment through the equipment layout diagram, view the monitoring footage from the camera responsible for monitoring the current fire-fighting equipment, and choose whether to conduct an on-site inspection.

[0175] The beneficial effects of the above technical solution are: the monitoring system can monitor the status of fire-fighting equipment installed in the corridor in real time, and when it is obstructed or moved, it can send early warning information to the user terminal in a timely manner, which facilitates management.

[0176] like Figure 3 As shown, the present invention also provides a fire data visualization and monitoring method, comprising the following steps:

[0177] Collect basic information on fire protection equipment and configure it to monitor the status of fire protection equipment installed in the corridor, and obtain monitoring data;

[0178] Basic information is categorized and preprocessed, and the monitoring data is distorted and preprocessed.

[0179] Based on the monitoring data, determine whether the status of each fire-fighting device installed in the corridor has changed. If so, trigger a visual alarm operation.

[0180] Visual alarm operation involves constructing a device layout diagram based on basic information, responding to alarm operations from the monitoring module, updating the device layout diagram, and generating alarm information.

[0181] Send the equipment layout diagram and alarm information to the terminal device.

[0182] The working principle of the above technical solution is as follows:

[0183] Basic information and monitoring data are acquired through a cloud platform. It is worth noting that the fire protection equipment involved in this application includes automatic fire early warning systems, fire water systems, gas extinguishing systems, foam extinguishing systems, fire separation systems, smoke exhaust and ventilation systems, and fire emergency lighting and evacuation signage systems. The monitored fire protection equipment includes fire hydrants, fire boxes, foam extinguishers, fire separation systems, and external fire exits installed in corridors on each floor of the building, as well as equipment that is easily obstructed by piled-up items and cannot be used. In addition to data acquisition, the data acquisition module is equipped with a positioning function. Indoors, it uses Bluetooth broadcasting and a gateway to connect to the fire protection equipment for indoor positioning. Outdoors, it uses Beidou chips installed on the fire protection equipment to locate the equipment based on Beidou + NB-IoT, thus detecting whether the equipment has been moved.

[0184] The collected basic information is categorized, and corresponding preprocessing operations are performed based on the data type of the monitoring data. Distortion preprocessing is used to preprocess severely abnormal data in the fire protection data, or data that was not detected, to extract the specific information of the corresponding fire protection equipment.

[0185] Based on the monitoring data, it is determined whether the status of the fire-fighting equipment installed in the corridor has changed. The status of the fire-fighting equipment includes three categories: normal, moved, and obstructed. When the fire-fighting equipment changes from the normal state to the moved or obstructed state, the visualization module is triggered to perform an alarm operation.

[0186] Based on the basic information, a device layout diagram is constructed, and in response to the alarm operation of the monitoring module, the device layout diagram is updated and alarm information is generated.

[0187] The beneficial effects of the above technical solution are as follows:

[0188] This application uses visualization technology to construct an equipment layout diagram, and uses monitoring data to conduct real-time safety diagnosis and timely warning of the status of each fire-fighting equipment in the corridor, so as to avoid the fire-fighting equipment being blocked by debris or moved for a long time, and keep the fire-fighting facilities in good condition; patrol personnel can also check the status of each fire-fighting equipment at any time through the equipment layout diagram.

[0189] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A fire department data visualization monitoring system, characterized by, The application relates to a fire-fighting equipment monitoring system. The system comprises: a data acquisition module configured to acquire basic information of fire-fighting equipment and monitor the equipment state of the fire-fighting equipment installed in a corridor to obtain monitoring data; a preprocessing module configured to classify and preprocess the basic information and to preprocess the monitoring data; a monitoring module configured to determine whether the state of each fire-fighting equipment installed in the corridor changes according to the monitoring data, and if so, to trigger a visualization module to perform an alarm operation; wherein the monitoring module comprises an evaluation model; the visualization module is configured to construct an equipment layout diagram according to the basic information, to update the equipment layout diagram in response to the alarm operation of the monitoring module, and to generate alarm information; a data pushing module configured to send the equipment layout diagram and the alarm information to a terminal device; the basic information comprises the name, model, address, installation time, device snapshot, and life cycle of the fire-fighting equipment; the monitoring data comprises position information, sensing data, environmental video data, and equipment operation data; the monitoring module comprises: a position detection unit configured to obtain real-time position information of the fire-fighting equipment and to determine whether the position information of the corresponding fire-fighting equipment changes; wherein when the range of the position information change exceeds a preset threshold, the fire-fighting equipment is moved, and position alarm information is generated; a sensing data acquisition unit configured to obtain real-time sensing data of the fire-fighting equipment and to determine whether the sensing data exceeds a preset threshold interval; wherein when the sensing data exceeds the preset threshold interval, the over-limit time length of the sensing data exceeding the preset threshold interval is determined, and over-limit alarm is performed according to the over-limit time length; when there is position alarm information, a target image of the corresponding fire-fighting equipment is cut from the current environmental video data, and maintenance guidance information of the corresponding fire-fighting equipment is generated; wherein when the fire-fighting equipment simultaneously has over-limit alarm, the similarity between the target image and a preset reference image is calculated, and if the value of the similarity is less than a set threshold, the fire-fighting equipment is shielded, wherein the target image contains the fire-fighting equipment corresponding to the sensing data; the evaluation model comprises a perception evaluation sub-model and a position evaluation sub-model; wherein the perception evaluation sub-model is configured to evaluate the operation data and real-time state perception data of the fire-fighting equipment, to determine the abnormal value of the perception data of each fire-fighting equipment based on a preset perception target, and to adjust the color depth of the corresponding fire-fighting equipment through the abnormal value; wherein the perception target comprises an operation fluctuation perception target and a sensing perception target; the operation fluctuation perception target adjusts the color depth of the corresponding fire-fighting equipment during operation through the distance between the real-time fluctuation of the operation data and the operation fluctuation perception target; 2. A fire department data visualization monitoring system as in claim 1, wherein, the sensing perception target is configured to directly determine the abnormality of the fire-fighting equipment through the implementation state perception data, and to adjust the color band depth of the blueprint node of the corresponding fire-fighting equipment to the maximum value when there is abnormality. The step of calculating the similarity between the target image and the preset reference image comprises: performing a frame cutting operation on the target image according to a preset cutting condition to obtain a to-be-processed image; wherein the to-be-processed image comprises a frame-cutting image of the fire-fighting equipment that needs to be subjected to similarity calculation. The preset interception condition includes a target image time sequence arrangement condition based on a time axis and a target image definition screening condition; A frame sliding window based on frame reading is set, and the to-be-processed image and the reference image are respectively divided into a plurality of image comparison frames through the frame sliding window to generate a comparison image group; A calculation function is used to calculate the similarity of the fire-fighting features between the to-be-processed image and the reference image in each group.

3. A fire department data visualization monitoring system as in claim 1, wherein, The calculation function of the similarity is as follows: wherein: uX, uY represent the mean of the image to be processed X and the reference image Y respectively, σ X , σ Y represent the standard deviation of the image to be processed X and the reference image Y respectively, σ X σ X , σ Y σ Y represent the variance of the image to be processed X and the reference image Y respectively; σ XY represents the covariance of the image to be processed X and the reference image Y; C1, C2 and C3 are constants, which are used to maintain stability in order to avoid the denominator being zero; usually C1=(K1L)^2, C2=(K2L)^2, C3=C2 / 2 are taken, and generally K1=0.01, K2=0.03, L=255.

4. A fire department data visualization monitoring system as in claim 1, wherein, The monitoring module further includes: A tile unit is configured to construct a description tile corresponding to each type of fire-fighting equipment in a graphics library in advance; An interface unit is configured to set a layout interface and generate a function interface item of a first equipment layout diagram and a second equipment layout diagram on the layout interface; wherein, The first equipment layout diagram is an address layout diagram configured to locate data storage addresses of different fire-fighting equipment by using the description tile; The second layout diagram is a position layout diagram configured to locate distribution positions of different fire-fighting equipment by using the description tile; A type unit is configured to divide the types of fire-fighting equipment according to the basic information and construct a classified calling channel of the data storage address according to the equipment type on the layout interface; A blueprint unit is configured to obtain a building blueprint of a building where the fire-fighting equipment is located and set a blueprint node according to the distribution position; wherein, The blueprint node describes the abnormality degree of the corresponding node fire-fighting equipment by color depth and brightness; A distribution warning unit is configured to set an evaluation model between the classified calling channel and the blueprint node, perform abnormal evaluation on the fire-fighting equipment of each blueprint node by using the evaluation model, and determine the color depth of each blueprint node.

5. A fire data visualization monitoring system as claimed in claim 4, wherein, The data pushing module includes: A selection unit is configured to construct a selection matrix based on the fire-fighting equipment and the alarm information; wherein, The selection matrix is used to describe the distribution position of the abnormal fire-fighting equipment and the alarm information event; A first receiving unit is configured to connect the equipment layout diagram according to the selection matrix and convert it into a layout interface to display the layout position of the abnormal fire-fighting equipment through the layout interface; A second receiving unit is configured to connect the blueprint node of the equipment according to the selection matrix to generate guide information of the abnormal fire-fighting equipment; wherein, The guide information is used to guide the operation and maintenance of the abnormal fire-fighting equipment; A third receiving unit is configured to perform event classification coding of the abnormal fire-fighting equipment in the user terminal according to the selection matrix, and associate the classification coding with the color depth of the blueprint node. When the color depth of the blue node is a normal value, the classification coding is not pushed in the user terminal.

6. A fire data visualization monitoring system as claimed in claim 5, wherein, The visualization module includes: A state visualization unit is configured to establish a state information table and a state tile of the fire-fighting equipment installed in the corridor, wherein, The state information table is used to count the state data of the fire-fighting equipment; The state tile is used to color mark the state data in the information table; The state mark and the color mark are associated and mapped; A mapping control unit is configured to determine the real-time state of the current fire-fighting equipment and the color depth of the blueprint node according to the associated mapping, and control the description tile corresponding to the current fire-fighting equipment in the equipment layout diagram to display the corresponding color depth. The early warning unit is configured to generate a display early warning message pop-up window pushed to the user terminal according to the corresponding color depth. The early warning message pop-up window is associated with the device layout diagram and directly calls the device layout diagram.

7. A fire department data visualization monitoring method, characterized by, The method comprises the following steps: Collecting basic information of the fire-fighting equipment and configuring the device state of the fire-fighting equipment installed in the corridor to obtain monitoring data; Classifying and preprocessing the basic information and distorting and preprocessing the monitoring data; Determining whether the state of each fire-fighting equipment installed in the corridor changes according to the monitoring data, and if so, triggering a visual alarm operation; The visual alarm operation is to construct a device layout diagram according to the basic information, respond to the alarm operation of the monitoring module, update the device layout diagram, and generate alarm information; Sending the device layout diagram and the alarm information to the terminal device; The basic information includes the name, model, address, installation time, device snapshot, and life cycle of the fire-fighting equipment; The monitoring data includes position information, sensing data, environmental video data, and device operation data; The determination of whether the state of each fire-fighting equipment installed in the corridor changes according to the monitoring data comprises: Obtaining real-time position information of the fire-fighting equipment and determining whether the position information of the corresponding fire-fighting equipment changes; wherein When the range of the position information change exceeds a preset threshold, the fire-fighting equipment is moved, and position alarm information is generated; Obtaining real-time sensing data of the fire-fighting equipment and determining whether the sensing data exceeds a preset threshold interval; wherein When the sensing data exceeds the preset threshold interval, determining the over-limit duration of the sensing data exceeding the preset threshold interval, and generating an over-limit alarm according to the over-limit duration; When there is position alarm information, a target image of the corresponding fire-fighting equipment is cut from the current environmental video data to generate maintenance guidance information of the corresponding fire-fighting equipment; wherein When the fire-fighting equipment simultaneously generates an over-limit alarm, the similarity between the target image and a preset reference image is calculated, and if the value of the similarity is less than a set threshold, the fire-fighting equipment is blocked, wherein The target image contains the fire-fighting equipment corresponding to the sensing data; The determination of whether the state of each fire-fighting equipment installed in the corridor changes according to the monitoring data further comprises: Evaluating the operation data and real-time state perception data of the fire-fighting equipment, determining the abnormal value of the perception data of each fire-fighting equipment based on a preset perception target, and adjusting the color depth of the corresponding fire-fighting equipment through the abnormal value; wherein The perception target includes an operation fluctuation perception target and a sensing perception target; The operation fluctuation perception target adjusts the color depth of the corresponding fire-fighting equipment during operation through the real-time fluctuation of the operation data and the distance from the operation fluctuation perception target; The sensing perception target is used to directly determine the abnormality of the fire-fighting equipment through the implementation of the state perception data, and adjust the color depth of the corresponding fire-fighting equipment to the maximum value when there is an abnormality.

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