Cable fire warning system and method based on multivariate factor data

Abstract

The embodiment of the application discloses a cable fire warning system and method based on multivariate factor data, and the method comprises the following steps: acquiring laying data of a monitored cable line and fire environment record data of each line section, the laying data comprising a plurality of line bending points and bending angles, determining the line bending points and the middle points of the line sections as to-be-screened fire risk points, determining a plurality of fire risk points in the to-be-screened fire risk points based on the fire environment record data and the bending angles, acquiring operation data of the fire risk points and a plurality of fire environment parameter data, determining a first fire risk value of the fire risk points based on the operation data and the respective fire environment parameter data, acquiring smoke data of the fire risk points, and generating fire warning information of each fire risk point based on the first fire risk value and the smoke data. According to the scheme, the cable fire risk value can be evaluated through multidimensional parameter data, so that accurate and reasonable cable fire warning can be realized.

Description

Technical Field

[0001] This application relates to the field of cable early warning technology, and in particular to a cable fire early warning system and method based on multivariate factor data. Background Technology

[0002] Electrical wires and cables are a crucial component of power transmission in modern society; however, fires involving them pose a serious threat to people's lives and property. First, casualties are the most direct and significant hazard in a fire. Once a fire gets out of control, the scene often becomes filled with dense smoke, extremely high temperatures, and partial collapses, making escape extremely difficult. Second, fires cause severe damage to buildings and property. The temperatures of electrical wire and cable fires can reach hundreds of degrees Celsius, rapidly melting and burning surrounding insulation materials and building structures, leading to building collapses and even rendering them beyond repair. Furthermore, fires can trigger secondary disasters, such as short circuits in electrical equipment or gas leaks causing explosions, posing an even greater threat to the surrounding environment and people. Therefore, early warning systems for cable fires are extremely important.

[0003] Most existing cable fire alarm systems rely on embedded smoke sensors for fire monitoring, triggering an alarm when a cable fire occurs. This method is prone to false alarms, and improving the accuracy of fire monitoring does not provide early warning of cable fires. Summary of the Invention

[0004] This invention provides a cable fire early warning system and method based on multivariate factor data, which solves the problems of false alarms in existing cable fire alarm technologies and the inability to achieve early warning of cable fires if the accuracy of fire monitoring is improved. It can assess the risk value of cable fires through multi-dimensional parameter data to achieve accurate and reasonable cable fire early warning.

[0005] In a first aspect, embodiments of the present invention provide a cable fire early warning method based on multivariate factor data, comprising:

[0006] Acquire the current cable laying data and fire environment record data of each line segment. The laying data includes multiple line bends and corresponding bend angles. The line bends and the midpoints of the line segments are identified as fire risk points to be screened.

[0007] Based on the fire environment recording data and the bending angle, multiple fire risk points are determined from the multiple fire risk points to be screened. The operation data of each fire risk point and the fire environment parameter data collected by each fire environment parameter sensor are obtained. Based on the operation data of the fire risk points and the fire environment parameter data, the first fire risk value of the fire risk point is determined.

[0008] Smoke data collected by smoke sensors at each fire risk point is acquired, and fire early warning information for each fire risk point is generated based on the first fire risk value and the smoke data.

[0009] Optionally, the fire environment parameter recording data includes multiple fire environment parameters and corresponding fire environment parameter recording values. The step of determining multiple fire risk points from the multiple fire risk points to be screened based on the fire environment parameter recording data and the bending angle includes:

[0010] Based on the recorded values ​​of each fire environmental parameter of the fire risk point to be screened, the corresponding fire environmental parameter fire risk value is determined. The fire environmental parameter fire risk value of each fire environmental parameter is multiplied by the corresponding preset weight and superimposed to obtain the environmental fire risk value of the fire risk point to be screened. The environmental fire risk value of the midpoint of the line segment in the fire risk point to be screened is compared with the first preset comparison value. The midpoint of the line segment corresponding to the environmental fire risk value greater than the first preset comparison value is determined as the first risk point.

[0011] Based on the bending angle of the line bends in the fire risk points to be screened and the environmental fire risk value, a second risk point is determined, and the first risk point and the second risk point are determined as fire risk points.

[0012] Optionally, determining the second risk point based on the bending angle of the line bends among the fire risk points to be screened and the environmental fire risk value includes:

[0013] Determine the preset angle range into which the bending angle of the line bend falls, and compare the environmental fire risk value of the line bend with the second preset comparison value corresponding to the preset angle range;

[0014] The line bends corresponding to environmental fire risk values ​​greater than the second preset comparison value are identified as the second risk points, wherein the second preset comparison value is less than the first preset comparison value.

[0015] Optionally, determining the first fire risk value of the fire risk point based on the operational data of the fire risk point and various fire environmental parameter data includes:

[0016] The actual environmental fire risk value of the fire risk point is determined based on the fire environmental parameter data of each fire risk point, and the first fire risk value of the fire risk point is calculated based on the operation data of the fire risk point and the actual environmental fire risk value.

[0017] Optionally, the operating data includes current values, and the calculation of the first fire risk value of the fire risk point based on the operating data of the fire risk point and the actual environmental fire risk value includes:

[0018] The operational fire risk value of the fire risk point is obtained by querying the corresponding preset operational fire risk value mapping table based on the current value, and the operational fire risk value is added to the actual environmental fire risk value to obtain the first fire risk value of the fire risk point.

[0019] Optionally, the smoke data includes smoke concentration, and the step of generating fire early warning information for each fire risk point based on the first fire risk value and the smoke sensor data includes:

[0020] The smoke concentration is substituted into the preset fire risk value calculation formula to obtain the second fire risk value. The fire risk value of the fire risk point is determined based on the first fire risk value and the second fire risk value. If the fire risk value is greater than the preset risk value, the corresponding fire early warning information of the fire risk point is generated.

[0021] Optionally, determining the fire risk value of the fire risk point based on the first fire risk value and the second fire risk value includes:

[0022] Calculate the difference between the first fire risk value and the second fire risk value. If the difference is less than a preset difference, determine the average value of the first fire risk value and the second fire risk value as the fire risk value of the fire risk point.

[0023] If the difference is greater than a preset difference, the fire risk value of the fire risk point is determined to be the one with the larger value between the first fire risk value and the second fire risk value.

[0024] Secondly, embodiments of the present invention also provide a cable fire early warning system based on multivariate factor data, comprising:

[0025] The acquisition module is used to acquire the current cable laying data and fire environment record data of each line section. The laying data includes multiple line bending points and corresponding bending angles.

[0026] The risk point determination module is used to determine the bends of the line and the midpoints of the line segments as fire risk points to be screened, and to determine multiple fire risk points from the multiple fire risk points to be screened based on the fire environment record data and the bend angle.

[0027] The acquisition module is also used to acquire the operational data of each fire risk point and the fire environmental parameter data collected by each fire environmental parameter sensor.

[0028] The risk value determination module is used to determine the first fire risk value of the fire risk point based on the operational data of the fire risk point and the data of various fire environmental parameters.

[0029] The acquisition module is further configured to acquire smoke data collected by smoke sensors at each fire risk point; the early warning information generation module is configured to generate fire early warning information for each fire risk point based on the first fire risk value and the smoke data.

[0030] Thirdly, embodiments of the present invention also provide a cable fire early warning device based on multivariate factor data, the device comprising:

[0031] One or more processors;

[0032] Storage device for storing one or more programs.

[0033] When the one or more programs are executed by the one or more processors, the one or more processors implement the cable fire early warning method based on multivariate factor data as described in the embodiments of the present invention.

[0034] Fourthly, embodiments of the present invention also provide a storage medium for storing computer-executable instructions, which, when executed by a computer processor, are used to execute the cable fire early warning method based on multivariate factor data described in the embodiments of the present invention.

[0035] In this embodiment of the invention, the laying data of the current monitored cable line and the fire environment record data of each line segment are acquired. The laying data includes multiple line bending points and corresponding bending angles. The line bending points and the midpoints of the line segments are identified as fire risk points to be screened. Based on the fire environment record data and bending angles, multiple fire risk points are identified from the multiple fire risk points to be screened. The operating data of each fire risk point and the fire environment parameter data collected by each fire environment parameter sensor are acquired. Based on the operating data of the fire risk points and the fire environment parameter data, a first fire risk value of the fire risk point is determined. Smoke data collected by the smoke sensor of each fire risk point is acquired. Based on the first fire risk value and the smoke data, fire early warning information for each fire risk point is generated. This solution uses the analysis results of multi-dimensional parameter data of the cable to provide fire early warning, solving the problem that existing cable fire alarm technologies are prone to false alarms and that improving the accuracy of fire monitoring cannot achieve early warning of cable fires. It can assess the cable fire risk value through multi-dimensional parameter data to achieve accurate and reasonable cable fire early warning. Attached Figure Description

[0036] Figure 1 A flowchart of a cable fire early warning method based on multivariate factor data provided in an embodiment of the present invention;

[0037] Figure 2 A flowchart of another cable fire early warning method based on multivariate factor data provided in an embodiment of the present invention;

[0038] Figure 3 A flowchart of another cable fire early warning method based on multivariate factor data provided in an embodiment of the present invention;

[0039] Figure 4 A flowchart of another cable fire early warning method based on multivariate factor data provided in an embodiment of the present invention;

[0040] Figure 5 A module structure block diagram of a cable fire early warning system based on multivariate factor data provided in an embodiment of the present invention;

[0041] Figure 6 This is a schematic diagram of a cable fire early warning device based on multivariate factor data, provided as an embodiment of the present invention. Detailed Implementation

[0042] The embodiments of the present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely illustrative of the present invention and not intended to limit the scope of the invention. Furthermore, it should be noted that, for ease of description, the accompanying drawings show only the parts relevant to the embodiments of the present invention, and not all structures.

[0043] The terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such use of data can be interchanged where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first," "second," etc., are generally of the same class and the number of objects is not limited; for example, a first object can be one or more. Furthermore, in the specification and claims, "and or or" indicates at least one of the connected objects, and the character "or" generally indicates that the preceding and following related objects have an "or" relationship.

[0044] The cable fire early warning method based on multivariate factor data provided in this application can be applied to scenarios involving early warning of cable fires. In this cable fire early warning method based on multivariate factor data, the executing entity for each step can be a computer device. This computer device refers to any electronic device with data computing, processing, and storage capabilities, such as mobile phones, PCs (Personal Computers), tablet computers, and other terminal devices, or it can be a server or other similar device. This application does not limit the specific device to this method.

[0045] Figure 1 A flowchart of a cable fire early warning method based on multivariate factor data provided in an embodiment of the present invention is shown below. Figure 1 As shown, it specifically includes:

[0046] Step S101: Obtain the current cable laying data and fire environment record data of each line segment. The laying data includes multiple line bends and corresponding bend angles. The line bends and the midpoints of the line segments are identified as fire risk points to be screened.

[0047] The monitored cable line can be the currently monitored cable line. Laying data represents relevant data recorded during cable laying, including multiple line bends and their corresponding bend angles. Line bends can be the locations where the cable line bends, and bend angles can be the angles at which the cable line bends relative to a horizontal placement. Line segments represent various sections within the cable line, which can be obtained by dividing the cable line into averages based on a preset distance. Fire environment record data includes relevant data on environmental factors associated with cable line fires. Fire risk points to be screened represent locations that may have a fire risk and require further screening. The process involves acquiring multiple line bends, their corresponding bend angles, and fire environment record data for each line segment of the currently monitored cable line, and identifying the line bends and the midpoints of the line segments as fire risk points to be screened. One exemplary example is that the currently monitored cable line is cable line a. Cable line a has three bends: bend 1, bend 2, and bend 3, with corresponding bend angles of 30°, 50°, and 60° respectively. Cable line a has five segments of equal length: segment 1, segment 2, segment 3, segment 4, and segment 5. The midpoints of each segment are identified as midpoint 1, midpoint 2, midpoint 3, midpoint 4, and midpoint 5. These bends are then identified as fire risk points to be screened. In another embodiment, multiple bends, corresponding bend angles, and fire environment records for each segment of the currently monitored cable line are obtained. A segment location is randomly selected from each segment, and these bends and segment locations are identified as fire risk points to be screened.

[0048] Step S102: Based on the fire environment record data and the bending angle, determine multiple fire risk points from the multiple fire risk points to be screened.

[0049] Fire risk points are used to characterize locations where a fire is likely to occur. After identifying multiple fire risk points to be screened, these points are filtered based on fire environment record data of each section of the monitored cable line and the bending angle of each bend. In one embodiment, fire environment record data of the midpoints of each section of the cable line to be screened are input into a trained first fire risk assessment model to obtain a first environmental fire risk assessment value for each midpoint. The bending angle of each bend and the fire environment record data of the section of the cable line to be screened are input into a trained second fire risk assessment model to obtain a second environmental fire risk assessment value for each bend. The midpoints and bends corresponding to the first and second environmental fire risk assessment values ​​that are greater than a preset assessment value are identified as fire risk points. Optionally, the fire environmental parameter recording data includes multiple fire environmental parameters and their corresponding recorded values. One method for determining fire risk points is as follows: Based on the recorded values ​​of each fire environmental parameter of the fire risk point to be screened, determine the parameter fire risk value of the corresponding fire environmental parameter; multiply each parameter fire risk value by its corresponding preset weight and sum them to obtain the environmental fire risk value of the fire risk point to be screened; compare the environmental fire risk value of the midpoint of the route segment among the fire risk points to be screened with a first preset comparison value; determine the midpoint of the route segment with an environmental fire risk value greater than the first preset comparison value as the first risk point; determine the second risk point based on the bending angle of the route bends and the environmental fire risk value among the fire risk points to be screened; and determine the first and second risk points as fire risk points. Screening fire risk points using environmental recording data and route bending data allows for more reasonable and accurate determination of fire risk points, thereby improving the accuracy of fire early warning.

[0050] Step S103: Obtain the operational data of each fire risk point and the fire environmental parameter data collected by each fire environmental parameter sensor, and determine the first fire risk value of the fire risk point based on the operational data of the fire risk point and the fire environmental parameter data.

[0051] The operational data can be relevant data from monitoring various fire risk points in the cable line while they are in operation. Fire environmental parameter sensors are devices used to collect data on environmental factors related to cable line fires, and fire environmental parameter data is used to characterize the collected data on environmental factors related to cable line fires. The process involves acquiring the operational data of each fire risk point and the fire environmental parameter data collected by each fire environmental parameter sensor. Based on the operational data and the fire environmental parameter data of the fire risk points, a fire risk assessment is performed to obtain the corresponding first fire risk value. In one embodiment, the operational parameter values ​​and individual fire environmental parameter values ​​from the operational data and individual fire environmental parameter data of the fire risk points are substituted into a preset first fire risk value calculation formula to obtain the corresponding first fire risk value. Optionally, the actual environmental fire risk value of the fire risk point is determined based on the individual fire environmental parameter data of the fire risk point. The first fire risk value of the fire risk point is calculated based on the operational data and the actual environmental fire risk value. The actual environmental fire risk value characterizes the risk of a fire occurring in the current environment of the fire risk point. By using current fire environment parameter data and operational data to conduct fire risk assessments of fire risk points, the dimensionality of reference factors for fire risk assessment is increased, thereby ensuring the accuracy of fire risk assessment.

[0052] Step S104: Obtain smoke data collected by smoke sensors at each fire risk point, and generate fire early warning information for each fire risk point based on the first fire risk value and the smoke data.

[0053] The smoke sensor can detect the presence and concentration of smoke in the environment. Smoke data characterizes the data collected by the smoke sensor, and fire warning information characterizes relevant information for issuing a fire warning, such as a specific audible alarm or highlighted alarm content. After determining the first fire risk value for each fire risk point, the smoke data collected by the smoke sensor at each fire risk point is acquired. Based on the first fire risk value and the smoke data, it is determined whether a fire warning should be issued for each fire risk point, and fire warning information for the fire risk point that has been issued is generated. In one embodiment, the first fire risk value of the fire risk point and the smoke concentration in the smoke data are substituted into a preset risk value calculation formula to obtain the final fire risk value of the fire risk point. If the final fire risk value is greater than the preset risk value, fire warning information for the corresponding fire risk point is generated. Optionally, the smoke data includes smoke concentration. One way to generate fire warning information is to substitute the smoke concentration of the fire risk point into the preset fire risk value calculation formula to obtain a second fire risk value, determine the fire risk value of the fire risk point based on the first and second fire risk values, and generate fire warning information for the corresponding fire risk point if the fire risk value is greater than the preset risk value. By combining the initial fire risk value of the fire risk point with smoke data to conduct the final fire risk assessment, accurate and reasonable cable fire early warning can be achieved, avoiding false alarms.

[0054] As described above, the process involves acquiring current cable laying data and fire environment records for each cable segment. The laying data includes multiple bends and their corresponding angles. These bends and midpoints of the cable segments are identified as potential fire risk points. Based on the fire environment records and bend angles, multiple fire risk points are selected from these potential points. Operational data for each fire risk point and fire environment parameter data collected by various sensors are then acquired. A first fire risk value is determined based on this data. Smoke data from smoke sensors at each fire risk point is also acquired. Finally, fire warning information for each fire risk point is generated based on the first fire risk value and the smoke data. This solution uses multi-dimensional cable parameter data analysis for fire warnings, addressing the issue of false alarms in existing cable fire alarm technologies and the inability to provide early warnings of cable fires if fire monitoring accuracy is improved. It enables accurate and reasonable cable fire warnings by assessing cable fire risk values ​​using multi-dimensional parameter data.

[0055] Figure 2The flowchart illustrates another cable fire early warning method based on multivariate factor data provided in this embodiment of the invention. It outlines an optional method for determining multiple fire risk points, such as... Figure 2 As shown, it specifically includes:

[0056] Step S201: Obtain the current cable laying data and fire environment record data of each line segment. The laying data includes multiple line bends and corresponding bend angles. The line bends and the midpoints of the line segments are identified as fire risk points to be screened.

[0057] Step S202: Determine the parameter fire risk value of the corresponding fire environment parameter based on the recorded values ​​of each fire environment parameter of the fire risk point to be screened, and multiply the parameter fire risk value of each fire environment parameter by the corresponding preset weight and add them together to obtain the environmental fire risk value of the fire risk point to be screened.

[0058] The fire environmental parameter recording data includes multiple fire environmental parameters and their corresponding recorded values. Fire environmental parameters characterize environmental parameters related to causing fires in cable lines. The parameter fire risk value characterizes the risk value of a fire caused by the fire environmental parameters of the fire risk point to be screened. The preset weights can represent the importance of each fire environmental parameter in causing fire risk. The environmental fire risk value characterizes the risk value of a fire caused by the surrounding environment of the fire risk point to be screened. One method for determining the environmental fire risk value is as follows: Based on the recorded values ​​of each fire environmental parameter of the fire risk point to be screened, determine the parameter fire risk value of the corresponding fire environmental parameter; multiply the parameter fire risk value of each fire environmental parameter by its corresponding preset weight and sum them to obtain the environmental fire risk value of the fire risk point to be screened. An exemplary example could be that the fire environment parameters include temperature and humidity parameters. The temperature record value of the fire risk point a to be screened is 35℃, and the humidity record value is 40%. Based on the temperature record value of 35℃, the corresponding associated temperature fire risk value is 60%, and the humidity record value of 40% corresponds to an associated humidity fire risk value of 30%. The preset weight of the temperature parameter is 0.6, and the preset weight of the humidity parameter is 0.4. The resulting environmental fire risk value of the fire risk point a to be screened is 48% (60%*0.6+30%*0.4).

[0059] Step S203: Compare the environmental fire risk value of the midpoint of the route segment in the fire risk points to be screened with the first preset comparison value, and determine the midpoint of the route segment corresponding to the environmental fire risk value that is greater than the first preset comparison value as the first risk point.

[0060] The first preset comparison value can be a pre-set value used to compare with the environmental fire risk value of the midpoint of the route segment. The first risk point is used to characterize the midpoint of the route segment with a fire risk. After determining the environmental fire risk value of each fire risk point to be screened, the environmental fire risk value of the midpoint of the route segment among the fire risk points to be screened is compared with the first preset comparison value. The midpoint of the route segment with the environmental fire risk value greater than the first preset comparison value is determined as the first risk point. An exemplary example is that the first preset value is 50%, and the midpoints of the route segment are midpoint 1, midpoint 2, midpoint 3, midpoint 4, and midpoint 5, with corresponding environmental fire risk values ​​of 60%, 40%, 55%, 70%, and 33% respectively. Among them, the environmental fire risk values ​​of midpoint 1, midpoint 3, and midpoint 4 are greater than the first preset comparison value, that is, midpoint 1, midpoint 3, and midpoint 4 are determined as the first risk points.

[0061] Step S204: Determine the second risk point based on the bending angle of the line bends in the fire risk points to be screened and the environmental fire risk value, and determine the first risk point and the second risk point as fire risk points.

[0062] The second risk point is used to characterize line bends with a fire risk. After determining the environmental fire risk value of each fire risk point to be screened, a second risk point is determined among the line bends based on the bend angle and environmental fire risk value. The first and second risk points are then identified as fire risk points. Optionally, a preset angle range is determined for the bend angle of each line bend. The environmental fire risk value of the line bend is compared with a second preset comparison value corresponding to the preset angle range. Line bends with environmental fire risk values ​​greater than the second preset comparison value are identified as second risk points, where the second preset comparison value is less than the first preset comparison value. An exemplary example could be that the line bends are bend 1, bend 2, and bend 3, with preset angle intervals 1 (0, 30°), 2 (30, 60°), 3 (60, 90°), 4 (90, 120°), 5 (120, 150°), and 6 (150, 180°). The corresponding second preset comparison values ​​are 48%, 43%, 38%, 33%, 28%, and 23%, respectively. Taking bend 1 as an example, the bend angle of bend 1 is 100°. °, the environmental fire risk value is 48%, the bending angle of bending point 1 falls within the preset angle interval 4, that is, the second preset comparison value is 33%. The environmental fire risk value of bending point 1 is greater than the second preset comparison value, so bending point 1 is the second risk point. In another embodiment, the bending fire risk value corresponding to the bending angle of each line bending point is determined, and the bending fire risk value of the line bending point is superimposed with the corresponding environmental fire risk value to obtain a comprehensive fire risk value. The line bending point corresponding to the comprehensive fire risk value that is greater than the preset comprehensive fire risk value is determined as the second risk point.

[0063] Step S205: Obtain the operational data of each fire risk point and the fire environmental parameter data collected by each fire environmental parameter sensor, and determine the first fire risk value of the fire risk point based on the operational data of the fire risk point and the fire environmental parameter data.

[0064] Step S206: Obtain smoke data collected by smoke sensors at each fire risk point, and generate fire early warning information for each fire risk point based on the first fire risk value and the smoke data.

[0065] As described above, the parametric fire risk value of each fire environmental parameter is determined based on the recorded values ​​of the fire environmental parameters of the fire risk points to be screened. The parametric fire risk value of each fire environmental parameter is multiplied by its corresponding preset weight and then summed to obtain the environmental fire risk value of the fire risk points to be screened. The environmental fire risk value of the midpoint of the route segment among the fire risk points to be screened is compared with a first preset comparison value. The midpoint of the route segment with an environmental fire risk value greater than the first preset comparison value is determined as the first risk point. A second risk point is determined based on the bending angle of the route bends among the fire risk points to be screened and the environmental fire risk value. The first and second risk points are then identified as fire risk points. This scheme uses environmental record data and route bending data to screen fire risk points, making the identified fire risk points more reasonable and accurate, thereby improving the accuracy of fire early warning.

[0066] Figure 3 The flowchart of another cable fire early warning method based on multivariate factor data provided in this embodiment of the invention gives an optional specific method for calculating the first fire risk value, such as... Figure 3 As shown, it specifically includes:

[0067] Step S301: Obtain the current cable laying data and fire environment record data of each line segment. The laying data includes multiple line bends and corresponding bend angles. The line bends and the midpoints of the line segments are identified as fire risk points to be screened.

[0068] Step S302: Based on the fire environment record data and the bending angle, determine multiple fire risk points from the multiple fire risk points to be screened.

[0069] Step S303: Obtain the operational data of each fire risk point and the fire environmental parameter data collected by each fire environmental parameter sensor; determine the actual environmental fire risk value of the fire risk point based on the fire environmental parameter data of each fire risk point; and calculate the first fire risk value of the fire risk point based on the operational data and the actual environmental fire risk value of the fire risk point.

[0070] The actual environmental fire risk value is used to characterize the risk of a fire occurring in the current environment of a fire risk point. After acquiring the operational data of each fire risk point and the fire environmental parameter data collected by each fire environmental parameter sensor, the actual environmental fire risk value of the fire risk point is determined based on the fire environmental parameter data of each fire risk point. The first fire risk value of the fire risk point is then calculated based on the operational data and the actual environmental fire risk value. Optionally, the operational data includes current values. One method for calculating the first fire risk value is: to obtain the operational fire risk value of the fire risk point by querying a corresponding preset operational fire risk value mapping table based on the current value of the fire risk point; to add the operational fire risk value of the fire risk point to the actual environmental fire risk value to obtain the first fire risk value of the fire risk point. The operational fire risk value is used to characterize the risk of a current-induced fire caused by the operational data. An exemplary example is the preset operational fire risk value mapping table, as shown in the table below:

[0071] Current value Operating fire risk value (0，15A] 10％ (15A, 30A) 20％ (30A, 45A) 30％ (45A, 60A) 40％

[0072] The aforementioned preset operational fire risk value mapping table describes the mapping relationship between current values ​​and operational fire risk values, specifically as follows: When the current value of a fire risk point is within the range (0, 15A), the operational fire risk value of that fire risk point is 10%; when the current value of a fire risk point is within the range (15A, 30A), the operational fire risk value is 20%; when the current value of a fire risk point is within the range (30A, 45A), the operational fire risk value is 30%; and when the current value of a fire risk point is within the range (45A, 60A), the operational fire risk value is 40%.

[0073] The current value of fire risk point a is 50A. According to the preset operational fire risk value lookup table, the operational fire risk value of fire risk point a is 40%. Based on the various fire environment parameters of the fire risk point, the actual environmental fire risk value of the fire risk point is determined to be 30%. Therefore, adding the operational fire risk value and the actual environmental fire risk value of the fire risk point yields a first fire risk value of 70%. In another embodiment, the current value of the fire risk point is substituted into the preset operational fire risk value calculation formula to obtain the operational fire risk value of the fire risk point. The operational fire risk value is then added to the actual environmental fire risk value to obtain the first fire risk value of the fire risk point.

[0074] Step S304: Obtain smoke data collected by smoke sensors at each fire risk point, and generate fire early warning information for each fire risk point based on the first fire risk value and the smoke data.

[0075] As described above, this method involves acquiring operational data from each fire risk point and fire environmental parameter data collected by various fire environmental parameter sensors. Based on these data, the actual environmental fire risk value of each fire risk point is determined. Finally, a first fire risk value is calculated based on the operational data and the actual environmental fire risk value. This approach assesses fire risk points using current fire environmental parameter data and operational data, thus increasing the dimensionality of reference factors in fire risk assessment and ensuring its accuracy.

[0076] Figure 4 The flowchart illustrates another cable fire early warning method based on multivariate factor data provided in this embodiment of the invention. It also outlines an optional method for generating fire early warning information, such as... Figure 4 As shown, it specifically includes:

[0077] Step S401: Obtain the current cable laying data and fire environment record data of each line segment. The laying data includes multiple line bends and corresponding bend angles. The line bends and the midpoints of the line segments are identified as fire risk points to be screened.

[0078] Step S402: Based on the fire environment record data and the bending angle, determine multiple fire risk points from the multiple fire risk points to be screened.

[0079] Step S403: Obtain the operational data of each fire risk point and the fire environmental parameter data collected by each fire environmental parameter sensor, and determine the first fire risk value of the fire risk point based on the operational data of the fire risk point and the fire environmental parameter data.

[0080] Step S404: Obtain smoke data collected by smoke sensors at each fire risk point, substitute the smoke concentration into the preset fire risk value calculation formula to obtain the second fire risk value, determine the fire risk value of the fire risk point based on the first fire risk value and the second fire risk value, and generate fire early warning information for the corresponding fire risk point if the fire risk value is greater than the preset risk value.

[0081] The second fire risk value is used to characterize the risk of a fire occurring at a fire risk point determined by smoke data. The fire risk value is used to characterize the risk of a fire occurring at a fire risk point as determined by the final comprehensive assessment. Smoke data includes smoke concentration. One method for generating fire early warning information may be: substituting the smoke concentration of the fire risk point into a preset fire risk value calculation formula to obtain the second fire risk value; determining the fire risk value of the fire risk point based on the first and second fire risk values; and generating fire early warning information for the corresponding fire risk point if the fire risk value is greater than the preset risk value. Optionally, the difference between the first and second fire risk values ​​of the fire risk point is calculated. If the difference is less than the preset difference, the average of the first and second fire risk values ​​is determined as the fire risk value of the fire risk point; if the difference is greater than the preset difference, the larger of the first and second fire risk values ​​is determined as the fire risk value of the fire risk point. An exemplary example could be that the first fire risk value of fire risk point a is 58%, and the smoke concentration is 3% in the air. Substituting these values ​​into a preset fire risk value calculation formula yields a second fire risk value of 60%. The preset difference is 10%, and the difference between the first and second fire risk values ​​for fire risk point a is 2%, which is less than the preset difference. Therefore, the fire risk value of fire risk point a is the average of the first and second fire risk values, resulting in a calculated fire risk value of 59%. In another embodiment, preset risk weights are determined for the first and second fire risk values. The first and second fire risk values ​​of the fire risk point are multiplied by their respective preset risk weights and then summed to obtain the fire risk value of the fire risk point.

[0082] As described above, the process involves acquiring smoke data from smoke sensors at each fire risk point, substituting the smoke concentration at each fire risk point into a preset fire risk value calculation formula to obtain a second fire risk value, determining the fire risk value of each fire risk point based on both the first and second fire risk values, and generating a fire warning message for the corresponding fire risk point if the fire risk value exceeds the preset risk value. This solution, by combining the first fire risk value and smoke data for the final fire risk assessment, enables accurate and reasonable cable fire warnings, avoiding false alarms.

[0083] Figure 5 This invention provides a module structure block diagram of a cable fire early warning system based on multivariate factor data. This system is used to execute the cable fire early warning method based on multivariate factor data provided in the above embodiments, and possesses the corresponding functional modules and beneficial effects of the method. Figure 5 As shown, the system specifically includes:

[0084] The acquisition module 101 is used to acquire the current cable laying data and the fire environment record data of each section of the monitoring cable. The laying data includes multiple line bending points and corresponding bending angles.

[0085] The risk point determination module 102 is used to determine the bends of the line and the midpoints of the line segments as fire risk points to be screened, and to determine multiple fire risk points from the multiple fire risk points to be screened based on the fire environment record data and the bend angle.

[0086] The acquisition module 101 is also used to acquire the operational data of each fire risk point and the fire environmental parameter data collected by each fire environmental parameter sensor.

[0087] The risk value determination module 103 is used to determine the first fire risk value of the fire risk point based on the operational data of the fire risk point and the data of various fire environmental parameters.

[0088] The acquisition module 101 is also used to acquire smoke data collected by smoke sensors at each fire risk point;

[0089] The early warning information generation module 104 is used to generate fire early warning information for each fire risk point based on the first fire risk value and the smoke data.

[0090] As described above, the solution involves acquiring current cable laying data and fire environment records for each cable segment. The laying data includes multiple bends and their corresponding angles. These bends and midpoints of the cable segments are identified as potential fire risk points. Based on the fire environment records and bend angles, multiple fire risk points are selected from these potential points. Operational data for each fire risk point and fire environment parameter data collected by various sensors are then acquired. A first fire risk value is determined based on this data. Smoke data from smoke sensors at each fire risk point is also acquired. Finally, fire warning information for each fire risk point is generated based on the first fire risk value and the smoke data. This solution uses multi-dimensional cable parameter data analysis for fire warnings, addressing the issue of false alarms in existing cable fire alarm technologies and the inability to provide early warnings for cable fires if fire monitoring accuracy is improved. It enables accurate and reasonable cable fire warnings by assessing cable fire risk values ​​using multi-dimensional parameter data.

[0091] In one possible embodiment, the risk point determination module 102 is specifically used for:

[0092] Based on the recorded values ​​of each fire environmental parameter of the fire risk point to be screened, the corresponding fire environmental parameter fire risk value is determined. The fire environmental parameter fire risk value of each fire environmental parameter is multiplied by the corresponding preset weight and superimposed to obtain the environmental fire risk value of the fire risk point to be screened. The environmental fire risk value of the midpoint of the line segment in the fire risk point to be screened is compared with the first preset comparison value. The midpoint of the line segment corresponding to the environmental fire risk value greater than the first preset comparison value is determined as the first risk point.

[0093] Based on the bending angle of the line bends in the fire risk points to be screened and the environmental fire risk value, a second risk point is determined, and the first risk point and the second risk point are determined as fire risk points.

[0094] In one possible embodiment, the risk point determination module 102 is further configured to:

[0095] Determine the preset angle range into which the bending angle of the line bend falls, and compare the environmental fire risk value of the line bend with the second preset comparison value corresponding to the preset angle range;

[0096] The line bends corresponding to environmental fire risk values ​​greater than the second preset comparison value are identified as the second risk points, wherein the second preset comparison value is less than the first preset comparison value.

[0097] In one possible embodiment, the risk value determination module 103 is specifically used for:

[0098] The actual environmental fire risk value of the fire risk point is determined based on the fire environmental parameter data of each fire risk point, and the first fire risk value of the fire risk point is calculated based on the operation data of the fire risk point and the actual environmental fire risk value.

[0099] In one possible embodiment, the risk value determination module 103 is further configured to:

[0100] The operational fire risk value of the fire risk point is obtained by querying the corresponding preset operational fire risk value mapping table based on the current value, and the operational fire risk value is added to the actual environmental fire risk value to obtain the first fire risk value of the fire risk point.

[0101] In one possible embodiment, the warning information generation module 104 is specifically used for:

[0102] The smoke concentration is substituted into the preset fire risk value calculation formula to obtain the second fire risk value. The fire risk value of the fire risk point is determined based on the first fire risk value and the second fire risk value. If the fire risk value is greater than the preset risk value, the corresponding fire early warning information of the fire risk point is generated.

[0103] In one possible embodiment, the warning information generation module 104 is further configured to:

[0104] Calculate the difference between the first fire risk value and the second fire risk value. If the difference is less than a preset difference, determine the average value of the first fire risk value and the second fire risk value as the fire risk value of the fire risk point.

[0105] If the difference is greater than a preset difference, the fire risk value of the fire risk point is determined to be the one with the larger value between the first fire risk value and the second fire risk value.

[0106] Figure 6 A schematic diagram of a cable fire early warning device based on multivariate factor data provided in an embodiment of the present invention is shown below. Figure 6 As shown, the device includes a processor 201, a memory 202, an input device 203, and an output device 204; the number of processors 201 in the device can be one or more. Figure 6 Taking a processor 201 as an example; the processor 201, memory 202, input device 203, and output device 204 in the device can be connected via a bus or other means. Figure 6 Taking a bus connection as an example, the memory 202, as a computer-readable storage medium, can be used to store software programs, computer-executable programs, and modules, such as the program instructions or modules corresponding to the cable fire early warning method based on multivariate factor data in this embodiment of the invention. The processor 201 executes various functional applications and data processing of the device by running the software programs, instructions, and modules stored in the memory 202, thereby realizing the aforementioned cable fire early warning method based on multivariate factor data. The input device 203 can be used to receive input digital or character information and generate key signal inputs related to user settings and function control of the device. The output device 204 may include a display screen or other display device.

[0107] This invention also provides a storage medium containing computer-executable instructions, which, when executed by a computer processor, are used to execute a cable fire early warning method based on multivariate factor data. The method includes:

[0108] Acquire the current cable laying data and fire environment record data of each line segment. The laying data includes multiple line bends and corresponding bend angles. The line bends and the midpoints of the line segments are identified as fire risk points to be screened.

[0109] Based on the fire environment recording data and the bending angle, multiple fire risk points are determined from the multiple fire risk points to be screened. The operation data of each fire risk point and the fire environment parameter data collected by each fire environment parameter sensor are obtained. Based on the operation data of the fire risk points and the fire environment parameter data, the first fire risk value of the fire risk point is determined.

[0110] Smoke data collected by smoke sensors at each fire risk point is acquired, and fire early warning information for each fire risk point is generated based on the first fire risk value and the smoke data.

[0111] It is worth noting that in the above embodiments of the cable fire early warning method system based on multivariate factor data, the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of each functional unit are only for easy differentiation and are not used to limit the protection scope of the embodiments of the present invention.

[0112] Note that the above are merely preferred embodiments and the technical principles applied in this invention. Those skilled in the art will understand that the embodiments of this invention are not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions can be made without departing from the protection scope of this invention. Therefore, although the embodiments of this invention have been described in detail above, the embodiments of this invention are not limited to the above embodiments. More other equivalent embodiments may be included without departing from the concept of the embodiments of this invention, and the scope of the embodiments of this invention is determined by the scope of the appended claims.

Claims

1. A cable fire warning method based on multivariate factor data, characterized by, The method comprises the following steps: acquiring laying data of a current monitoring cable line and fire environment record data of each line section, the laying data comprising a plurality of line bending points and corresponding bending angles, and determining the line bending points and intermediate points of the line section as fire risk points to be screened; determining a plurality of fire risk points from the fire environment record data and the bending angles, acquiring operation data of each fire risk point and fire environment record data collected by each fire environment parameter sensor, and determining a first fire risk value of the fire risk point based on the operation data of the fire risk point and each fire environment record data; acquiring smoke data collected by a smoke sensor of each fire risk point, and generating fire warning information of each fire risk point based on the first fire risk value and the smoke data.

2. The cable fire warning method based on multivariate factor data according to claim 1, characterized by, The fire environment record data comprises a plurality of fire environment parameters and corresponding fire environment parameter record values, and the determination of the plurality of fire risk points from the fire environment record data and the bending angles comprises the following steps: determining a parameter fire risk value of each fire environment parameter according to the corresponding fire environment parameter record value of the fire risk point to be screened, multiplying and superimposing the parameter fire risk value of each fire environment parameter and the corresponding preset weight to obtain an environmental fire risk value of the fire risk point to be screened, comparing the environmental fire risk value of the intermediate point of the line section in the fire risk point to be screened with a first preset comparison value, and determining the intermediate point of the line section corresponding to the environmental fire risk value greater than the first preset comparison value as a first risk point; determining a second risk point based on the bending angle and the environmental fire risk value of the line bending point in the fire risk point to be screened, and determining the first risk point and the second risk point as the fire risk point.

3. The cable fire warning method based on multivariate factor data according to claim 2, characterized by, The determination of the second risk point based on the bending angle and the environmental fire risk value of the line bending point in the fire risk point to be screened comprises the following steps: determining a preset angle interval in which the bending angle of the line bending point falls, and comparing the environmental fire risk value of the line bending point with a second preset comparison value corresponding to the preset angle interval; determining the line bending point corresponding to the environmental fire risk value greater than the second preset comparison value as the second risk point, wherein the second preset comparison value is smaller than the first preset comparison value.

4. The cable fire warning method based on multivariate factor data according to any one of claims 1 to 3, characterized in that, The determination of the first fire risk value of the fire risk point based on the operation data of the fire risk point and each fire environment record data comprises the following steps: determining an actual environmental fire risk value of the fire risk point according to each fire environment record data of the fire risk point, and calculating the first fire risk value of the fire risk point based on the operation data of the fire risk point and the actual environmental fire risk value.

5. The cable fire warning method based on multivariate factor data according to claim 4, characterized by, The operation data comprises a current value, and the calculation of the first fire risk value of the fire risk point based on the operation data of the fire risk point and the actual environmental fire risk value comprises the following steps: According to the current value, a corresponding preset operation fire risk value mapping table is queried to obtain an operation fire risk value of the fire risk point, and the operation fire risk value and the actual environment fire risk value are added to obtain a first fire risk value of the fire risk point.

6. The cable fire warning method based on multivariate factor data according to any one of claims 1 to 3, characterized by, The smoke data includes a smoke concentration, and the fire warning information of each fire risk point is generated based on the first fire risk value and the smoke data, including: The smoke concentration is substituted into a preset fire risk value calculation formula to obtain a second fire risk value, the fire risk value of the fire risk point is determined according to the first fire risk value and the second fire risk value, and the fire warning information of the corresponding fire risk point is generated in the case that the fire risk value is greater than a preset risk value.

7. The cable fire warning method based on multivariate factor data according to claim 6, characterized by, The fire risk value of the fire risk point is determined according to the first fire risk value and the second fire risk value, including: The difference between the first fire risk value and the second fire risk value is calculated, and in the case that the difference is less than a preset difference value, the average value of the first fire risk value and the second fire risk value is determined as the fire risk value of the fire risk point; In the case that the difference is greater than the preset difference value, the larger value of the first fire risk value and the second fire risk value is determined as the fire risk value of the fire risk point.

8. A cable fire warning system based on multivariate factor data, characterized by Including: An acquisition module is configured to acquire laying data of a current monitored cable line and fire environment record data of each line section, and the laying data includes a plurality of line bending points and corresponding bending angles; A risk point determination module is configured to determine the line bending points and intermediate points of the line section as to-be-screened fire risk points, and determine a plurality of fire risk points from the to-be-screened fire risk points based on the fire environment record data and the bending angles; The acquisition module is further configured to acquire operation data of each fire risk point and fire environment record data collected by each fire environment parameter sensor; A risk value determination module is configured to determine a first fire risk value of the fire risk point based on the operation data of the fire risk point and each fire environment record data; The acquisition module is further configured to acquire smoke data collected by a smoke sensor of each fire risk point; A warning information generation module is configured to generate fire warning information of each fire risk point based on the first fire risk value and the smoke data.

9. A cable fire warning device based on multivariate factor data, the device comprising: One or more processors; A storage device is configured to store one or more programs, when the one or more programs are executed by the one or more processors, the one or more processors implement the cable fire warning method based on multivariate factor data as claimed in any one of claims 1-7.

10. A storage medium storing computer executable instructions for executing the cable fire warning method based on multivariate factor data as claimed in any one of claims 1-7 when executed by a computer processor.

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