Cable fire early warning system and method based on multivariable factor data

Abstract

The embodiment of the invention discloses a cable fire early warning system and method based on multivariable factor data, and the method comprises the steps: obtaining the laying data of a monitored cable line and the fire environment recording data of each line section, and enabling the laying data to comprise a plurality of line bending points and bending angles; determining the line bending point and the line section middle point 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 angle, and obtaining operation data of the fire risk points and a plurality of pieces of fire environment parameter data, and determining a first fire risk value of the fire risk point based on the operation data and each fire environment parameter data, obtaining smoke data of the fire risk point, and generating fire early 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 the multi-dimensional parameter data, so that accurate and reasonable cable fire early warning is realized.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of cable warning technology, and in particular to a cable fire warning system and method based on multivariate factor data. Background Art

[0002] Wires and cables are an important part of power transmission in modern society. However, wire and cable fires pose a serious threat to people's lives and property. First of all, casualties are the most direct and important hazard in fires. Once the fire is out of control, the fire scene will often be filled with thick smoke, high temperature, and partial collapse, which will cause great difficulties for escapees. Secondly, fires will cause serious damage to buildings and property. The temperature of wire and cable fires is as high as hundreds of degrees Celsius, which can quickly melt and burn surrounding insulation materials and building structures, causing the collapse of houses and even losing their repair value. In addition, fires can also cause secondary disasters, such as short circuits of electrical equipment or gas leaks during fires, leading to explosions, which pose a greater threat to the surrounding environment and personnel. Therefore, early warning of cable fires is very important.

[0003] Most of the existing cable fire alarm systems monitor fires by implanting smoke sensors, and sound an alarm when a cable fire occurs. This method is prone to false alarms, and if the accuracy of fire monitoring is improved, early warning of cable fires cannot be achieved. Summary of the invention

[0004] The embodiments of the present invention provide a cable fire warning system and method based on multivariate factor data, which solves the problem that false alarms are prone to occur in existing cable fire alarm technologies, and if the accuracy of fire monitoring is improved, early warning of cable fires cannot be achieved. The cable fire risk value can be evaluated through multi-dimensional parameter data to achieve accurate and reasonable cable fire warning.

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

[0006] Obtaining the laying data of the current monitoring cable line and the fire environment record data of each line section, wherein the laying data includes a plurality of line bending points and corresponding bending angles, and determining the line bending points and the middle points of the line sections as the fire risk points to be screened;

[0007] Determine a plurality of fire risk points from the plurality of fire risk points to be screened based on the fire environment record data and the bending angle, obtain operation data of each fire risk point and fire environment parameter data collected by each fire environment parameter sensor, and 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 parameter data;

[0008] Smoke data collected by smoke sensors at each fire risk point is obtained, and fire 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 record data includes a plurality of fire environment parameters and corresponding fire environment parameter record values, and determining a plurality of fire risk points from the plurality of fire risk points to be screened based on the fire environment parameter record data and the bending angle includes:

[0010] Determine the parameter fire risk value of the corresponding fire environment parameter according to the recorded value of each fire environment parameter of the fire risk point to be screened, multiply the parameter fire risk value of each fire environment parameter by the corresponding preset weight and superimpose them to obtain the environmental fire risk value of the fire risk point to be screened, compare the environmental fire risk value of the middle point of the line section in the fire risk point to be screened with the first preset comparison value, and determine the middle point of the line section corresponding to the environmental fire risk value greater than the first preset comparison value as the first risk point;

[0011] The second risk point is determined based on the bending angle of the line bending point among the fire risk points to be screened and the environmental fire risk value, 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 bending point among the fire risk points to be screened and the environmental fire risk value includes:

[0013] Determine a preset angle interval within which the bending angle of the line bending point falls, and compare the environmental fire risk value of the line bending point with a second preset comparison value corresponding to the preset angle interval;

[0014] A line bending point corresponding to an environmental fire risk value greater than the second preset comparison value is determined as a second risk point, 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 operation data of the fire risk point and each fire environment parameter data includes:

[0016] An actual environmental fire risk value of the fire risk point is determined according to the fire environment parameter data of the fire risk point, and a 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 operation data includes a current value, and the calculating the first fire risk value of the fire risk point based on the operation data of the fire risk point and the actual environment fire risk value includes:

[0018] The corresponding preset operation fire risk value mapping table is queried according to the current value to obtain the operation fire risk value of the fire risk point, and the operation fire risk value is added to the actual environment 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 generating of fire warning information of 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 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 fire warning information corresponding to the fire risk point is generated when the fire risk value is greater than the preset risk value.

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

[0022] Calculating a difference between the first fire risk value and the second fire risk value, and if the difference is less than a preset difference, determining an 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] When the difference is greater than a preset difference, the larger one of the first fire risk value and the second fire risk value is determined as the fire risk value of the fire risk point.

[0024] In a second aspect, an embodiment of the present invention further provides a cable fire warning system based on multivariate factor data, comprising:

[0025] An acquisition module is used to acquire the laying data of the current monitoring cable line and the fire environment record data of each line section, wherein the laying data includes a plurality of line bending points and corresponding bending angles;

[0026] A risk point determination module, used to determine the line bending point and the middle point of the line section as the fire risk points to be screened, and determine multiple fire risk points from the multiple fire risk points to be screened based on the fire environment record data and the bending angle;

[0027] The acquisition module is also used to acquire the operation data of each fire risk point and the fire environment parameter data collected by each fire environment parameter sensor;

[0028] a risk value determination module, configured to determine a first fire risk value of the fire risk point based on the operation data of the fire risk point and various fire environment parameter data;

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

[0030] In a third aspect, an embodiment of the present invention further provides a cable fire warning device based on multivariate factor data, the device comprising:

[0031] one or more processors;

[0032] a 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 described in the embodiment of the present invention.

[0034] In a fourth aspect, an embodiment of the present invention further provides a storage medium storing computer executable instructions, which, when executed by a computer processor, are used to execute the cable fire warning method based on multivariate factor data described in an embodiment of the present invention.

[0035] In an embodiment of the present invention, the laying data of the currently monitored cable line and the fire environment recording data of each line section are obtained, the laying data includes multiple line bending points and corresponding bending angles, the line bending points and the middle points of the line sections are determined as fire risk points to be screened, multiple fire risk points are determined from multiple fire risk points to be screened based on the fire environment recording data and the bending angles, the operation data of each fire risk point and the fire environment parameter data collected by each fire environment parameter sensor are obtained, the first fire risk value of the fire risk point is determined based on the operation data of the fire risk point and the fire environment parameter data, the smoke data collected by the smoke sensor of each fire risk point is obtained, and the fire warning information of each fire risk point is generated based on the first fire risk value and the smoke data. This solution performs fire warning on the analysis results of the multi-dimensional parameter data of the cable, solves the problem that false alarms are prone to occur in the existing cable fire alarm technology, and if the accuracy of fire monitoring is improved, the early warning of cable fire cannot be achieved, and can evaluate the cable fire risk value through multi-dimensional parameter data to achieve accurate and reasonable cable fire warning. BRIEF DESCRIPTION OF THE DRAWINGS

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

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

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

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

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

[0041] Figure 6 A schematic structural diagram of a cable fire warning device based on multivariate factor data provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0042] The embodiments of the present invention are further described in detail below in conjunction with the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are only used to explain the embodiments of the present invention, rather than to limit the embodiments of the present invention. It is also necessary to explain that, for ease of description, only parts related to the embodiments of the present invention are shown in the accompanying drawings, rather than all structures.

[0043] The terms "first", "second", etc. in the specification and claims of this application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first", "second", etc. are generally of one type, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and or or" in the specification and claims represents at least one of the connected objects, and the character "or" generally indicates that the objects associated before and after are in an "or" relationship.

[0044] The cable fire early warning method based on multivariate factor data provided in the embodiment of the present application can be applied to the scene of early warning of cable fire. The cable fire early warning method based on multivariate factor data provided in the embodiment of the present application, the execution subject of each step can be a computer device, which refers to any electronic device with data calculation, processing and storage capabilities, such as mobile phones, PCs (Personal Computers), tablet computers and other terminal devices, and can also be servers and other devices, which are not limited in the embodiment of the present application.

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

[0046] Step S101, obtain the laying data of the current monitored cable line and the fire environment record data of each line section, the laying data includes multiple line bending points and corresponding bending angles, and determine the line bending points and the middle points of the line sections as fire risk points to be screened.

[0047] Among them, the monitored cable line can be the cable line currently being monitored. The laying data is used to characterize the relevant data recorded when laying the cable, and may include multiple line bending points and corresponding bending angles. The line bending point may be the bending position point in the cable line, and the bending angle may be the angle at which the cable line bends relative to the horizontal placement. The line section is used to characterize the various sections in the cable line, and may be obtained by evenly dividing the cable line according to a preset distance. The fire environment recording data may be the relevant data recorded on the environmental factors related to the fire that caused the cable line fire, and the fire risk points to be screened are used to characterize the locations that may be at risk of fire and need further screening. Obtain the fire environment recording data of multiple line bending points, corresponding bending angles, and each line section of the currently monitored cable line, and determine the line bending points and the midpoints of the line sections as the fire risk points to be screened. An illustrative example may be that the current monitored cable line is cable line a, and the line bending points in cable line a are bending point 1, bending point 2, and bending point 3, and the corresponding bending angles are 30°, 50°, and 60°, respectively. Cable line a has 5 line sections of the same length, namely section 1, section 2, section 3, section 4, and section 5, and the points in the middle of each line section are determined to be middle point 1, middle point 2, middle point 3, middle point 4, and middle point 5, respectively. Then, bending point 1, bending point 2, bending point 3, middle point 1, middle point 2, middle point 3, middle point 4, and middle point 5 are determined as fire risk points to be screened. In another embodiment, multiple line bending points, corresponding bending angles, and fire environment recording data of each line section of the current monitored cable line are obtained, and a section position point is randomly selected in each line section, and each line bending point and each section position point are determined as fire risk points to be screened.

[0048] Step S102: determining a plurality of fire risk points from the plurality of fire risk points to be screened based on the fire environment record data and the bending angle.

[0049] Among them, the fire risk point is used to characterize the location point where there is a risk of fire. After determining a plurality of fire risk points to be screened, the plurality of fire risk points to be screened are screened based on the fire environment recording data of each line section in the monitoring cable line and the bending angle of the bending point to obtain a plurality of fire risk points. In one embodiment, the fire environment recording data of the middle point of each line section in the fire risk points to be screened are respectively input into the trained first fire risk assessment model to obtain the first environment fire risk assessment value of each middle point, the bending angle of each line bending point in the fire risk points to be screened and the fire environment recording data of the line section are respectively input into the trained second fire risk assessment model to obtain the second environment fire risk assessment value of each line bending point, and the middle points and line bending points corresponding to the first environment fire risk assessment value and the second environment fire risk assessment value greater than the preset assessment value are determined as fire risk points. Optionally, the fire environment parameter record data includes multiple fire environment parameters and corresponding fire environment parameter record values. A method for determining a fire risk point may be: determining a parameter fire risk value of a corresponding fire environment parameter according to each fire environment parameter record value of the fire risk point to be screened, multiplying the parameter fire risk value of each fire environment parameter with the corresponding preset weight and superimposing them to obtain an environmental fire risk value of the fire risk point to be screened, comparing the environmental fire risk value of the middle point of the line section in the fire risk point to be screened with a first preset comparison value, determining the middle point of the line section corresponding to the environmental fire risk value greater than the first preset comparison value as the first risk point, determining the second risk point based on the bending angle of the line bending point in the fire risk point to be screened and the environmental fire risk value, and determining the first risk point and the second risk point as fire risk points. Screening the fire risk points to be screened by using environmental record data and line bending data can make the determined fire risk points more reasonable and accurate, so as to improve the accuracy of fire warning.

[0050] Step S103: acquiring the operating data of each fire risk point and the fire environment parameter data collected by each fire environment parameter sensor, and determining a first fire risk value of the fire risk point based on the operating data of the fire risk point and the fire environment parameter data.

[0051] The operation data may be the relevant data when each fire risk point in the monitoring cable line is in operation state, the fire environment parameter sensor is used to characterize the equipment for collecting data on environmental factors related to the cable line fire, and the fire environment parameter data is used to characterize the collected data on environmental factors related to the cable line fire. The operation data of each fire risk point and the fire environment parameter data collected by each fire environment parameter sensor are obtained, and the fire risk assessment of the fire risk point is performed based on the operation data of the fire risk point and each fire environment parameter data to obtain the corresponding first fire risk value. In one embodiment, the operation data of the fire risk point and the operation parameter values ​​in each fire environment parameter data and each fire environment parameter value are substituted into the 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 according to each fire environment parameter data of the 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, and the actual environmental fire risk value is used to characterize the risk value of fire in the current environment of the fire risk point. Fire risk assessment is carried out on fire risk points through the current fire environment parameter data and operation data, which improves the dimension of reference factors for fire risk assessment to ensure the accuracy of fire risk assessment.

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

[0053] Among them, the smoke sensor can be a sensor that can detect whether there is smoke and smoke concentration in the environment, the smoke data is used to characterize the data collected by the smoke sensor, and the fire warning information is used to characterize the relevant information for fire warning, which can be information such as a specific sound alarm or a highlighted alarm content. After determining the first fire risk value of each fire risk point, the smoke data collected by the smoke sensor of each fire risk point is obtained, and based on the first fire risk value and the smoke data, it is determined whether each fire risk point is to be fire-warned, and the fire warning information of the fire risk point for fire warning 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 the preset risk value calculation formula to obtain the final fire risk value of the fire risk point, and the fire warning information of the corresponding fire risk point is generated when the final fire risk value is greater than the preset risk value. Optionally, the smoke data includes the smoke concentration, and a way to generate the fire warning information can be: substitute the smoke concentration of the fire risk point 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 according to the first fire risk value and the second fire risk value of the fire risk point, and generate the fire warning information of the corresponding fire risk point when the fire risk value is greater than the preset risk value. By combining the first fire risk value of the fire risk point and the smoke data for the final fire risk assessment, accurate and reasonable cable fire warning can be achieved to avoid false alarms.

[0054] From the above, it can be known that the laying data of the current monitored cable line and the fire environment recording data of each line section are obtained, the laying data includes multiple line bending points and corresponding bending angles, the line bending points and the middle points of the line sections are determined as the fire risk points to be screened, multiple fire risk points are determined from the multiple fire risk points to be screened based on the fire environment recording data and the bending angles, the operation data of each fire risk point and the fire environment parameter data collected by each fire environment parameter sensor are obtained, the first fire risk value of the fire risk point is determined based on the operation data of the fire risk point and the fire environment parameter data, the smoke data collected by the smoke sensor of each fire risk point is obtained, and the fire warning information of each fire risk point is generated based on the first fire risk value and the smoke data. This scheme uses the analysis results of the cable multi-dimensional parameter data to provide fire warning, which solves the problem that false alarms are prone to occur in the existing cable fire alarm technology, and if the accuracy of fire monitoring is improved, the early warning of cable fires cannot be achieved. It can evaluate the cable fire risk value through multi-dimensional parameter data to achieve accurate and reasonable cable fire warning.

[0055] Figure 2A flowchart of another cable fire early warning method based on multivariate factor data provided by an embodiment of the present invention provides an optional specific method for determining multiple fire risk points, such as Figure 2 As shown, specifically including:

[0056] Step S201, obtain the laying data of the current monitored cable line and the fire environment recording data of each line section, the laying data includes multiple line bending points and corresponding bending angles, and determine the line bending points and the middle points of the line sections as fire risk points to be screened.

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

[0058] Among them, the fire environment parameter record data includes multiple fire environment parameters and corresponding fire environment parameter record values. The fire environment parameters are used to characterize the environmental parameters related to causing fires in cable lines, and the parameter fire risk value is used to characterize the risk value of fire caused by the fire environment parameters of the fire risk points to be screened. The preset weights can be the importance of the fire risks caused by each fire environment parameter, and the environmental fire risk value is used to characterize the risk value of fire caused by the surrounding environment of the fire risk points to be screened. A method for determining the environmental fire risk value can be: determining the parameter fire risk value of the corresponding fire environment parameter according to the recorded values ​​of each fire environment parameter of the fire risk point to be screened, multiplying the parameter fire risk value of each fire environment parameter by the corresponding preset weight and superimposing them to obtain the environmental fire risk value of the fire risk point to be screened. An exemplary example may be that the fire environment parameters include temperature parameters and humidity parameters. The temperature record value of the fire risk point a to be screened is 35°C, and the humidity record value is 40%. The corresponding temperature fire risk value queried based on the temperature record value of 35°C is 60%, and the corresponding humidity fire risk value queried based on the humidity record value of 40% is 30%. The preset weight of the temperature parameter is 0.6, and the preset weight of the humidity parameter is 0.4. The 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 line section among the fire risk points to be screened with a first preset comparison value, and determine the midpoint of the line section corresponding to the environmental fire risk value greater than the first preset comparison value as the first risk point.

[0060] Among them, the first preset comparison value can be a value preset for comparison with the environmental fire risk value of the middle point of the line section, and the first risk point is used to characterize the middle point of the line section 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 middle point of the line section in the fire risk point to be screened is compared with the first preset comparison value, and the middle point of the line section corresponding to the environmental fire risk value greater than the first preset comparison value is determined as the first risk point. An exemplary example can be that the first preset value is 50%, the middle points of the line section are middle point 1, middle point 2, middle point 3, middle point 4, and middle point 5, and the corresponding environmental fire risk values ​​are 60%, 40%, 55%, 70%, and 33% respectively, wherein the environmental fire risk values ​​of middle point 1, middle point 3, and middle point 4 are greater than the first preset comparison value, that is, middle point 1, middle point 3, and middle point 4 are determined as the first risk point.

[0061] Step S204: determine the second risk point based on the bending angle of the line bending point 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] Among them, the second risk point is used to characterize the line bending point with fire risk. After determining the environmental fire risk value of each fire risk point to be screened, the second risk point is determined in the line bending point based on the bending angle of the line bending point in the fire risk point to be screened and the environmental fire risk value, and the first risk point and the second risk point are determined as fire risk points. Optionally, determine the preset angle interval in which the bending angle of each line bending point falls, compare the environmental fire risk value of the line bending point with the second preset comparison value corresponding to the preset angle interval in which the bending angle falls, and determine 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 less than the first preset comparison value. An exemplary example may be that the line bending points are bending point 1, bending point 2 and bending point 3, the preset angle interval 1 is (0, 30], the preset angle interval 2 is (30, 60], the preset angle interval 3 is (60, 90], the preset angle interval 4 is (90, 120], the preset angle interval 5 is (120, 150], and the preset angle interval 6 is (150, 180], and the corresponding second preset comparison values ​​are 48%, 43%, 38%, 33%, 28%, and 23% respectively. Taking bending point 1 as an example, the bending angle of bending point 1 is 100 °, the environmental fire risk value is 48%, the bending angle of bending point 1 falls into the preset angle interval 4, that is, the second comparison preset value is 33%, the environmental fire risk value of bending point 1 is greater than the second preset comparison value, and 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, the bending fire risk value of the line bending point and the corresponding environmental fire risk value are superimposed to obtain a comprehensive fire risk value, and the line bending point corresponding to the comprehensive fire risk value greater than the preset comprehensive fire risk value is determined as the second risk point.

[0063] Step S205: acquiring the operating data of each fire risk point and the fire environment parameter data collected by each fire environment parameter sensor, and determining a first fire risk value of the fire risk point based on the operating data of the fire risk point and the fire environment parameter data.

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

[0065] From the above, it can be seen that the parameter fire risk value of the corresponding fire environment parameter is determined according to the recorded value of each fire environment parameter of the fire risk point to be screened, the parameter fire risk value of each fire environment 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 middle point of the line section in the fire risk point to be screened is compared with the first preset comparison value, the middle point of the line section corresponding to the environmental fire risk value greater than the first preset comparison value is determined as the first risk point, the second risk point is determined based on the bending angle of the line bending point in the fire risk point to be screened and the environmental fire risk value, and the first risk point and the second risk point are determined as fire risk points. This scheme screens the fire risk points to be screened by environmental recording data and line bending data, which can make the determined fire risk points more reasonable and accurate, so as to improve the accuracy of fire warning.

[0066] Figure 3 A flowchart of another cable fire early warning method based on multivariate factor data provided by an embodiment of the present invention provides an optional specific method for calculating the first fire risk value, such as Figure 3 As shown, specifically including:

[0067] Step S301, obtain the laying data of the current monitored cable line and the fire environment recording data of each line section, the laying data includes multiple line bending points and corresponding bending angles, and determine the line bending points and the middle points of the line sections as fire risk points to be screened.

[0068] Step S302: determining a plurality of fire risk points from the plurality of fire risk points to be screened based on the fire environment record data and the bending angle.

[0069] Step S303: obtain the operating data of each fire risk point and the fire environment parameter data collected by each fire environment parameter sensor, determine the actual environmental fire risk value of the fire risk point according to the fire environment parameter data of the fire risk point, and calculate 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.

[0070] Among them, the actual environment fire risk value is used to characterize the risk value of fire in the environment where the fire risk point is currently located. After obtaining the operating data of each fire risk point and the fire environment parameter data collected by each fire environment parameter sensor, the actual environment fire risk value of the fire risk point is determined according to the fire environment parameter data of the fire risk point, and the first fire risk value of the fire risk point is calculated based on the operating data of the fire risk point and the actual environment fire risk value. Optionally, the operating data includes a current value, and a method for calculating the first fire risk value may be: querying the corresponding preset operating fire risk value mapping table according to the current value of the fire risk point to obtain the operating fire risk value of the fire risk point, adding the operating fire risk value of the fire risk point to the actual environment fire risk value to obtain the first fire risk value of the fire risk point, and the operating fire risk value is used to characterize the risk value of current fire caused by the operating data. An exemplary example may be a preset operating fire risk value mapping table, as shown in the following table:

[0071] Current value Operational Fire Risk Value (0，15A] 10％ (15A, 30A] 20％ (30A, 45A] 30％ (45A, 60A] 40％

[0072] The above preset operation fire risk value mapping table describes the mapping relationship between the current value and the operation fire risk value, which is specifically described as follows: when the current value of the fire risk point is within the interval (0, 15A], the operation fire risk value of the fire risk point is 10%; when the current value of the fire risk point is within the interval (15A, 30A], the operation fire risk value of the fire risk point is 20%; when the current value of the fire risk point is within the interval (30A, 45A], the operation fire risk value of the fire risk point is 30%; when the current value of the fire risk point is within the interval (45A, 60A], the operation fire risk value of the fire risk point is 40%.

[0073] The current value of fire risk point a is 50A. According to the preset operation fire risk value comparison table, the operation fire risk value of fire risk point a is 40%. According to the fire environment parameter data of the fire risk point, the actual environment fire risk value of the fire risk point is determined to be 30%. Then, the operation fire risk value of the fire risk point is added to the actual environment fire risk value to obtain a first fire risk value of 70%. In another embodiment, the current value of the fire risk point is substituted into the preset operation fire risk value calculation formula to obtain the operation fire risk value of the fire risk point, and the operation fire risk value of the fire risk point is added to the actual environment fire risk value to obtain the first fire risk value of the fire risk point.

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

[0075] As can be seen from the above, the operation data of each fire risk point and the fire environment parameter data collected by each fire environment parameter sensor are obtained, the actual environment fire risk value of the fire risk point is determined according to the fire environment parameter data of the 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 environment fire risk value. This solution conducts fire risk assessment on the fire risk point through the current fire environment parameter data and operation data, improves the dimension of the reference factors of the fire risk assessment, and ensures the accuracy of the fire risk assessment.

[0076] Figure 4 A flowchart of another cable fire warning method based on multivariate factor data provided by an embodiment of the present invention provides an optional specific method for generating fire warning information, such as Figure 4 As shown, specifically including:

[0077] Step S401, obtain the laying data of the current monitored cable line and the fire environment recording data of each line section, the laying data includes multiple line bending points and corresponding bending angles, and determine the line bending points and the middle points of the line sections as fire risk points to be screened.

[0078] Step S402: determining a plurality of fire risk points from the plurality of fire risk points to be screened based on the fire environment record data and the bending angle.

[0079] Step S403: acquiring the operating data of each fire risk point and the fire environment parameter data collected by each fire environment parameter sensor, and determining a first fire risk value of the fire risk point based on the operating data of the fire risk point and the fire environment parameter data.

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

[0081] Among them, the second fire risk value is used to characterize the risk value of a fire at a fire risk point determined by smoke data. The fire risk value is used to characterize the risk value of a fire at a fire risk point that is finally determined comprehensively. Smoke data includes smoke concentration. A method for generating fire warning information may be: substituting the smoke concentration of the fire risk point into a preset fire risk value calculation formula to obtain a second fire risk value, determining the fire risk value of the fire risk point according to the first fire risk value and the second fire risk value of the fire risk point, and generating fire warning information for the corresponding fire risk point when the fire risk value is greater than the preset risk value. Optionally, the difference between the first fire risk value and the second fire risk value of the fire risk point is calculated. When the difference is less than the preset difference, 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. When the difference is greater than the preset difference, 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. An illustrative example may be that the first fire risk value of fire risk point a is 58%, and the smoke concentration is 3% in the air. Substituting it into the preset fire risk value calculation formula, the second fire risk value is 60%, the preset difference is 10%, and the difference between the first fire risk value and the second fire risk value of fire risk point a is 2%, which is less than the preset difference. Then the fire risk value of fire risk point a is the average of the first fire risk value and the second fire risk value, and the fire risk value of fire risk point a is calculated to be 59%. In another embodiment, the preset risk weights of the first fire risk value and the second fire risk value are determined, and the first fire risk value and the second fire risk value of the fire risk point are multiplied and superimposed with the corresponding preset risk weights to obtain the fire risk value of the fire risk point.

[0082] From the above, it can be seen that the smoke data collected by the smoke sensor at each fire risk point is obtained, the smoke concentration at the fire risk point 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 according to the first fire risk value and the second fire risk value of the fire risk point, and the fire warning information of the corresponding fire risk point is generated when the fire risk value is greater than the preset risk value. This solution combines the first fire risk value and smoke data of the fire risk point for the final fire risk assessment, which can achieve accurate and reasonable cable fire warning and avoid false alarms.

[0083] Figure 5 The module structure block diagram of a cable fire warning system based on multivariate factor data provided by an embodiment of the present invention is used to execute the cable fire warning method based on multivariate factor data provided by the above embodiment, and has the corresponding functional modules and beneficial effects of the execution method. Figure 5 As shown, the system specifically includes:

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

[0085] A risk point determination module 102, configured to determine the line bending point and the middle point of the line section as fire risk points to be screened, and determine a plurality of fire risk points from the plurality of fire risk points to be screened based on the fire environment record data and the bending angle;

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

[0087] A risk value determination module 103, configured to determine a first fire risk value of the fire risk point based on the operation data of the fire risk point and various fire environment parameter data;

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

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

[0090] It can be seen from the above scheme that the laying data of the current monitored cable line and the fire environment recording data of each line section are obtained, the laying data includes multiple line bending points and corresponding bending angles, the line bending points and the middle points of the line sections are determined as the fire risk points to be screened, multiple fire risk points are determined from the multiple fire risk points to be screened based on the fire environment recording data and the bending angle, the operation data of each fire risk point and the fire environment parameter data collected by each fire environment parameter sensor are obtained, the first fire risk value of the fire risk point is determined based on the operation data of the fire risk point and the fire environment parameter data, the smoke data collected by the smoke sensor of each fire risk point is obtained, and the fire warning information of each fire risk point is generated based on the first fire risk value and the smoke data. This scheme performs fire warning by analyzing the results of multi-dimensional cable parameter data, solves the problem that false alarms are prone to occur in the existing cable fire alarm technology, and if the accuracy of fire monitoring is improved, the early warning of cable fire cannot be achieved, and can evaluate the cable fire risk value through multi-dimensional parameter data to achieve accurate and reasonable cable fire warning.

[0091] In a possible embodiment, the risk point determination module 102 is specifically configured to:

[0092] Determine the parameter fire risk value of the corresponding fire environment parameter according to the recorded value of each fire environment parameter of the fire risk point to be screened, multiply the parameter fire risk value of each fire environment parameter by the corresponding preset weight and superimpose them to obtain the environmental fire risk value of the fire risk point to be screened, compare the environmental fire risk value of the middle point of the line section in the fire risk point to be screened with the first preset comparison value, and determine the middle point of the line section corresponding to the environmental fire risk value greater than the first preset comparison value as the first risk point;

[0093] The second risk point is determined based on the bending angle of the line bending point among the fire risk points to be screened and the environmental fire risk value, and the first risk point and the second risk point are determined as fire risk points.

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

[0095] Determine a preset angle interval within which the bending angle of the line bending point falls, and compare the environmental fire risk value of the line bending point with a second preset comparison value corresponding to the preset angle interval;

[0096] A line bending point corresponding to an environmental fire risk value greater than the second preset comparison value is determined as a second risk point, wherein the second preset comparison value is less than the first preset comparison value.

[0097] In a possible embodiment, the risk value determination module 103 is specifically configured to:

[0098] An actual environmental fire risk value of the fire risk point is determined according to the fire environment parameter data of the fire risk point, and a 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 a possible embodiment, the risk value determination module 103 is further configured to:

[0100] The corresponding preset operation fire risk value mapping table is queried according to the current value to obtain the operation fire risk value of the fire risk point, and the operation fire risk value is added to the actual environment fire risk value to obtain the first fire risk value of the fire risk point.

[0101] In a possible embodiment, the warning information generating module 104 is specifically used to:

[0102] The smoke concentration is substituted into the 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 fire warning information corresponding to the fire risk point is generated when the fire risk value is greater than the preset risk value.

[0103] In a possible embodiment, the warning information generating module 104 is further used to:

[0104] Calculating a difference between the first fire risk value and the second fire risk value, and if the difference is less than a preset difference, determining an 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] When the difference is greater than a preset difference, the larger one of the first fire risk value and the second fire risk value is determined as the fire risk value of the fire risk point.

[0106] Figure 6 A schematic diagram of the structure of a cable fire warning device based on multivariate factor data provided by an embodiment of the present invention is shown in FIG. 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 A processor 201 is taken as an example; the processor 201, memory 202, input device 203 and output device 204 in the device can be connected by a bus or other means. Figure 6 The example of connecting through a bus is taken. The memory 202, as a computer-readable storage medium, can be used to store software programs, computer executable programs and modules, such as program instructions or modules corresponding to the cable fire early warning method based on multivariate factor data in the embodiment of the present 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, that is, realizes the above-mentioned 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 input related to user settings and function control of the device. The output device 204 may include a display device such as a display screen.

[0107] The embodiment of the present invention further provides a storage medium containing computer executable instructions, wherein the computer executable instructions are used to execute a cable fire early warning method based on multivariate factor data when executed by a computer processor, the method comprising:

[0108] Obtaining the laying data of the current monitoring cable line and the fire environment record data of each line section, wherein the laying data includes a plurality of line bending points and corresponding bending angles, and determining the line bending points and the middle points of the line sections as the fire risk points to be screened;

[0109] Determine a plurality of fire risk points from the plurality of fire risk points to be screened based on the fire environment record data and the bending angle, obtain operation data of each fire risk point and fire environment parameter data collected by each fire environment parameter sensor, and 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 parameter data;

[0110] Smoke data collected by smoke sensors at each fire risk point is obtained, and fire 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-mentioned embodiment of the cable fire 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-mentioned division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the protection scope of the embodiments of the present invention.

[0112] Note that the above are only preferred embodiments of the present invention and the technical principles used. Those skilled in the art will understand that the embodiments of the present invention are not limited to the specific embodiments described herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the protection scope of the embodiments of the present invention. Therefore, although the embodiments of the present invention are described in more detail through the above embodiments, the embodiments of the present invention are not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the embodiments of the present invention, and the scope of the embodiments of the present invention is determined by the scope of the appended claims.

Claims

1. A cable fire early warning method based on multivariate factor data, characterized in that: include: Obtaining the laying data of the current monitoring cable line and the fire environment record data of each line section, wherein the laying data includes a plurality of line bending points and corresponding bending angles, and determining the line bending points and the middle points of the line sections as the fire risk points to be screened; Determine a plurality of fire risk points from the plurality of fire risk points to be screened based on the fire environment record data and the bending angle, obtain operation data of each fire risk point and fire environment parameter data collected by each fire environment parameter sensor, and 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 parameter data; Smoke data collected by smoke sensors at each fire risk point is obtained, and fire warning information for each fire risk point is generated based on the first fire risk value and the smoke data.

2. The cable fire early warning method based on multivariate factor data according to claim 1 is characterized in that: The fire environment parameter record data includes a plurality of fire environment parameters and corresponding fire environment parameter record values, and determining a plurality of fire risk points from the plurality of fire risk points to be screened based on the fire environment parameter record data and the bending angle includes: Determine the parameter fire risk value of the corresponding fire environment parameter according to the recorded value of each fire environment parameter of the fire risk point to be screened, multiply the parameter fire risk value of each fire environment parameter by the corresponding preset weight and superimpose them to obtain the environmental fire risk value of the fire risk point to be screened, compare the environmental fire risk value of the middle point of the line section in the fire risk point to be screened with the first preset comparison value, and determine the middle point of the line section corresponding to the environmental fire risk value greater than the first preset comparison value as the first risk point; The second risk point is determined based on the bending angle of the line bending point among the fire risk points to be screened and the environmental fire risk value, and the first risk point and the second risk point are determined as fire risk points.

3. The cable fire early warning method based on multivariate factor data according to claim 2 is characterized in that: The determining the second risk point based on the bending angle of the line bending point in the fire risk point to be screened and the environmental fire risk value includes: Determine a preset angle interval within which the bending angle of the line bending point falls, and compare the environmental fire risk value of the line bending point with a second preset comparison value corresponding to the preset angle interval; A line bending point corresponding to an environmental fire risk value greater than the second preset comparison value is determined as a second risk point, wherein the second preset comparison value is less than the first preset comparison value.

4. The cable fire early warning method based on multivariate factor data according to any one of claims 1 to 3, characterized in that: The determining the first fire risk value of the fire risk point based on the operation data of the fire risk point and various fire environment parameter data includes: An actual environmental fire risk value of the fire risk point is determined according to the fire environment parameter data of the fire risk point, and a 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.

5. The cable fire early warning method based on multivariate factor data according to claim 4 is characterized in that: The operation data includes a current value, 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 environment fire risk value, including: The corresponding preset operation fire risk value mapping table is queried according to the current value to obtain the operation fire risk value of the fire risk point, and the operation fire risk value is added to the actual environment fire risk value to obtain the first fire risk value of the fire risk point.

6. The cable fire early warning method based on multivariate factor data according to any one of claims 1 to 3, characterized in that: The smoke data includes smoke concentration, and the generating of fire warning information of each fire risk point based on the first fire risk value and the smoke data includes: The smoke concentration is substituted into the 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 fire warning information corresponding to the fire risk point is generated when the fire risk value is greater than the preset risk value.

7. The cable fire early warning method based on multivariate factor data according to claim 6 is characterized in that: The determining the fire risk value of the fire risk point according to the first fire risk value and the second fire risk value includes: Calculating a difference between the first fire risk value and the second fire risk value, and if the difference is less than a preset difference, determining an average value of the first fire risk value and the second fire risk value as the fire risk value of the fire risk point; When the difference is greater than a preset difference, the larger one 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 in that: include: An acquisition module is used to acquire the laying data of the current monitoring cable line and the fire environment record data of each line section, wherein the laying data includes a plurality of line bending points and corresponding bending angles; A risk point determination module, used to determine the line bending point and the middle point of the line section as the fire risk points to be screened, and determine multiple fire risk points from the multiple fire risk points to be screened based on the fire environment record data and the bending angle; The acquisition module is also used to acquire the operation data of each fire risk point and the fire environment parameter data collected by each fire environment parameter sensor; a risk value determination module, configured to determine a first fire risk value of the fire risk point based on the operation data of the fire risk point and various fire environment parameter data; The acquisition module is also used to acquire smoke data collected by smoke sensors at each fire risk point; A warning information generation module is used to generate fire warning information for 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 for storing 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 described in any one of claims 1-7.

10. A storage medium storing computer executable instructions, wherein the computer executable instructions are used to execute the cable fire early warning method based on multivariate factor data as described in any one of claims 1 to 7 when executed by a computer processor.

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