Safety helmet satellite communication terminal signal processing algorithm integrated with sound and light alarm function

Abstract

The application relates to the field of satellite communication and discloses a safety helmet satellite communication terminal signal processing algorithm integrated with an audible and light alarm function, which comprises the following steps: obtaining building information data, calculating a building safety risk index and determining a safety risk grade, first obtaining building information data of a fire occurrence site and earthquake information data within a preset range of the fire occurrence site through an external building information platform; then analyzing the building information data and the earthquake information data to obtain a building safety risk index used for evaluating the building safety risk degree of the fire occurrence site; finally, performing building safety risk rating on the fire occurrence site according to the building safety risk index of the fire occurrence site; and the audible and light alarm module arranged on the safety helmet performs corresponding early warning according to the building safety risk rating; the building safety risk of the fire occurrence site is evaluated and conveyed in real time through the satellite communication terminal on the safety helmet.

Description

Technical Field

[0001] This invention relates to the field of satellite communication, specifically to a signal processing algorithm for a safety helmet satellite communication terminal with integrated audible and visual alarm functions. Background Technology

[0002] The safety helmet satellite communication terminal is an intelligent safety helmet device that integrates satellite communication technology. It uses satellite signals to achieve remote positioning, communication and monitoring functions, providing safety protection for outdoor workers and workers.

[0003] In existing technology, the intelligent high-altitude and hot work safety management system based on risk assessment, disclosed in publication number "CN119559741A," integrates flame and height sensors on safety helmets to collect real-time information on flames in the work environment and changes in the height of workers. Through low-power wireless communication technology, the collected data is transmitted in real-time to an edge computing device. The edge computing device calculates a comprehensive risk index through multi-sensor data fusion and determines whether to issue a warning based on the comprehensive risk index, thereby reducing the accident rate.

[0004] However, the above-mentioned technologies still have significant drawbacks. For example, fires in these technologies often severely damage the integrity and stability of a building's load-bearing structure. As a fire occurs, the risk of building collapse increases dramatically, posing a great threat to workers. Workers typically assess the safety risks of a building based on its type and personal experience, but the assessment results may be inaccurate. This can lead workers to make overly risky decisions when developing rescue plans, ultimately placing them in unnecessary danger and increasing the likelihood of accidents. Summary of the Invention

[0005] The purpose of this invention is to provide a signal processing algorithm for a safety helmet satellite communication terminal with integrated audible and visual alarm functions, thereby solving the following technical problems:

[0006] How to assess building safety risks at a fire site using a safety helmet satellite communication terminal.

[0007] The objective of this invention can be achieved through the following technical solutions:

[0008] The signal processing algorithm for a satellite communication terminal for safety helmets with integrated audible and visual alarm functions includes the following steps:

[0009] Acquiring building information data: Obtain building information data of the fire location and earthquake information data within a preset range of the fire location through an external building information platform;

[0010] Calculate the building safety risk index: Analyze building information data and earthquake information data to obtain a building safety risk index used to assess the degree of building safety risk at the site of a fire;

[0011] Determine the safety risk level: Assess the building safety risk level of the fire location based on the building safety risk index; the audible and visual alarm module installed on the safety helmet will issue corresponding warnings based on the building safety risk level.

[0012] As a further aspect of the present invention: the building information data includes the type of building load-bearing structural material and the actual service life of the building; the type of building load-bearing structural material includes wood structure, brick-wood structure, brick-concrete structure, reinforced concrete structure and steel structure.

[0013] As a further aspect of the present invention: the process for obtaining the building safety risk index is as follows:

[0014] S1: Obtain the type of load-bearing structural materials of the building at the location of the fire through an external building information platform;

[0015] S2: Determine the adjustment parameters for the type of load-bearing structural material of the building at the location of the fire, based on the type of load-bearing structural material of the building at the location of the fire;

[0016] S3; Based on the adjustment parameters of the building's load-bearing structural material type and seismic information data at the fire site, the seismic impact index of the fire site is obtained.

[0017] S4: Based on the adjustment parameters, the seismic impact index of the fire location, and the actual service life of the building, the building safety risk index of the fire location is obtained.

[0018] As a further aspect of the present invention, the adjustment parameters include a safety risk index adjustment coefficient, a recommended service life adjustment coefficient, and an earthquake influence coefficient.

[0019] As a further aspect of the present invention: through the formula:

[0020]

[0021] Calculate the building safety risk index S at the location of the fire. b ;

[0022] Where, δ b H0 is the safety risk index adjustment coefficient for the type of building load-bearing structural materials at the location of the fire; T is the standard safety risk index. b The actual service life of the site where the fire occurred; α b T0 is an adjustment factor for the recommended service life of the building's load-bearing structural materials at the location of the fire; T0 is the standard recommended service life; Qb γ1 is the earthquake impact index of the fire location; γ2 is the first weighting coefficient; C1 is the first preset constant; C2 is the second preset constant.

[0023] As a further aspect of the present invention, the earthquake information data includes the number of earthquakes within a preset time period in the past, the earthquake intensity of each earthquake, and the location of the epicenter.

[0024] As a further aspect of the present invention: through the formula:

[0025]

[0026] Calculate the seismic impact index Q of the fire location. b ;

[0027] Where M represents the number of earthquakes within a predetermined area where the fire occurred, m∈M; Q m L represents the intensity of the m-th earthquake. m ε represents the distance between the epicenter of the m-th earthquake and the location of the fire; b The seismic influence coefficient is the type of building load-bearing structural material at the location of the fire.

[0028] As a further aspect of the present invention: the process of building safety risk assessment is as follows:

[0029] The building safety risk index S at the fire site b Compare with preset thresholds [R1, R2];

[0030] When S b When R1 is ≤, the building safety risk rating of the fire location is low risk;

[0031] When R1 b When R2 is ≤, the building safety risk rating of the fire location is medium risk;

[0032] When R2 b At the time, the building safety risk rating at the location of the fire was high.

[0033] The beneficial effects of this invention are:

[0034] ​​(1) This invention first obtains building information data of the fire location and seismic information data within a preset range of the fire location through an external building information platform; then analyzes the building information data and seismic information data to obtain a building safety risk index for assessing the degree of building safety risk at the fire location; finally, it performs a building safety risk rating of the fire location based on the building safety risk index; the sound and light alarm module installed on the safety helmet provides corresponding early warnings based on the building safety risk rating; it realizes the assessment and transmission of building safety risks at the fire location through the satellite communication terminal on the safety helmet; it assists workers in making reasonable decisions when developing rescue plans, avoids placing workers in unnecessary dangers, and ensures the smooth progress of rescue work;

[0035] (2) After obtaining building information data of the fire location and earthquake information data within a preset range, the present invention not only conducts in-depth data analysis to derive the building safety risk index, but also further optimizes the information processing and early warning mechanism.

[0036] (3) During the rescue process, the operators of this invention do not need to stop the ongoing rescue action. They can directly obtain the rating information of building safety risks through the sound and light alarm module, which greatly improves the rescue efficiency and safety. Attached Figure Description

[0037] The invention will now be further described with reference to the accompanying drawings.

[0038] Figure 1 This is a system module framework diagram of one embodiment of the present invention. Detailed Implementation

[0039] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0040] Please see Figure 1 As shown, in one embodiment, a signal processing algorithm for a safety helmet satellite communication terminal with integrated audible and visual alarm function is provided. The signal processing algorithm includes the following steps:

[0041] Acquiring building information data: Obtain building information data of the fire location and earthquake information data within a preset range of the fire location through an external building information platform;

[0042] Calculate the building safety risk index: Analyze building information data and earthquake information data to obtain a building safety risk index used to assess the degree of building safety risk at the site of a fire;

[0043] Determine the safety risk level: Assess the building safety risk level of the fire location based on the building safety risk index; the audible and visual alarm module installed on the safety helmet will issue corresponding warnings based on the building safety risk level.

[0044] Through the above technical solution, this embodiment first obtains building information data of the fire location and seismic information data within a preset range of the fire location through an external building information platform; then, it analyzes the building information data and seismic information data to obtain a building safety risk index for assessing the degree of building safety risk at the fire location; finally, it performs a building safety risk rating for the fire location based on the building safety risk index; the audible and visual alarm module installed on the safety helmet provides corresponding warnings based on the building safety risk rating; it realizes real-time assessment and transmission of building safety risks at the fire location through a satellite communication terminal on the safety helmet; during the rescue process, workers only need to simply check the audible and visual alarm module on the safety helmet to directly obtain the building safety risk rating information, thereby assisting workers in making more reasonable and safer decisions, greatly reducing the probability of workers being in unnecessary danger, and ensuring the smooth progress of the rescue work; and after obtaining the building information data of the fire location and the seismic information data within the preset range, it not only conducts in-depth data analysis to derive the building safety risk index, but also further optimizes the information processing and early warning mechanism.

[0045] In one embodiment of the present invention, the building information data includes the type of building load-bearing structural material and the actual service life of the building; the type of building load-bearing structural material includes wood structure, brick-wood structure, brick-concrete structure, reinforced concrete structure and steel structure;

[0046] Through the above technical solutions, the structural stability of the building load-bearing structure material types in this embodiment, from strongest to weakest, is as follows: steel structure, reinforced concrete structure, brick-concrete structure, brick-wood structure, and wood structure.

[0047] As one embodiment of the present invention, the process of obtaining the building safety risk index is as follows:

[0048] S1: Obtain the type of load-bearing structural materials of the building at the location of the fire through an external building information platform;

[0049] S2: Determine the adjustment parameters for the type of load-bearing structural material of the building at the location of the fire, based on the type of load-bearing structural material of the building at the location of the fire;

[0050] S3; Based on the adjustment parameters of the building's load-bearing structural material type and seismic information data at the fire site, the seismic impact index of the fire site is obtained.

[0051] S4: Based on the adjustment parameters, the seismic impact index of the fire location, and the actual service life of the building, the building safety risk index of the fire location is obtained.

[0052] Through the above technical solution, this embodiment first obtains the type of load-bearing structural material of the building at the fire location through an external building information platform; then, it determines the adjustment parameters of the load-bearing structural material type of the building at the fire location based on the type of load-bearing structural material of the building at the fire location; then, it analyzes the adjustment parameters of the load-bearing structural material type of the building at the fire location and seismic information data to obtain the seismic impact index of the fire location; when an earthquake occurs, even if the earthquake intensity is extremely small, the ground vibration caused by the seismic waves may still cause minute cracks and deformations in the building; these cracks and deformations may be very small, or even difficult to detect with the naked eye. However, over time, these minute cracks may gradually widen, leading to a decline in structural performance. Furthermore, deformation can also affect the stability of the building, especially under the cumulative effect of multiple small earthquakes. The seismic impact index reflects the degree of earthquake impact on buildings at the fire site. Finally, based on adjustments, the seismic impact index of the fire site, and the actual service life of the building, a building safety risk index for the fire site is obtained. This multi-faceted assessment of building safety risks improves the accuracy of the evaluation and provides a clear visual representation of the degree of building safety risk through the building safety risk index. This assists workers in making more rational and safer decisions, significantly reducing the probability of workers being placed in unnecessary danger and ensuring the smooth progress of rescue work.

[0053] As one embodiment of the present invention, the adjustment parameters include a safety risk index adjustment coefficient, a recommended service life adjustment coefficient, and an earthquake influence coefficient;

[0054] Through the above technical solution, each type of building load-bearing structural material in this embodiment has a set of adjustment parameters. Due to the different structural stability of building load-bearing structural materials, the recommended service life, the degree of earthquake impact, and the safety risk index are different for each type of building load-bearing structural material. The higher the structural stability of a building load-bearing structural material, the longer its recommended service life, the lower its degree of earthquake impact, and the lower its safety risk index. Conversely, the lower the structural stability of a building load-bearing structural material, the shorter its recommended service life, the higher its degree of earthquake impact, and the higher its safety risk index. Moreover, the adjustment parameters for each type of building load-bearing structural material are preset values, obtained based on experience, and will not be described in detail here.

[0055] As one embodiment of the present invention, the formula is as follows:

[0056]

[0057] Calculate the building safety risk index S at the location of the fire. b ;

[0058] Where, δ b H0 is the safety risk index adjustment coefficient for the type of building load-bearing structural materials at the location of the fire; T is the standard safety risk index. b The actual service life of the site where the fire occurred; α b T0 is an adjustment factor for the recommended service life of the building's load-bearing structural materials at the location of the fire; T0 is the standard recommended service life; Q b γ1 is the seismic impact index of the fire location; γ2 is the first weighting coefficient; C1 is the first preset constant; C2 is the second preset constant.

[0059] Through the above technical solution, this embodiment δ b H0 represents the basic safety risk index for the type of building load-bearing structural materials at the location of the fire; α b T0 represents the recommended service life of the building's load-bearing structural materials at the location of the fire. The ratio of the actual service life of the building at the fire site to the recommended service life of the building's load-bearing structural materials at the fire site; the ratio of the actual service life of the building at the fire site to the recommended service life of the building's load-bearing structural materials at the fire site. The larger the value, the worse the mechanical properties of the building's load-bearing structural materials at the fire site, and the greater the safety risk. Therefore, the building safety risk index S at the fire site... b The larger the value; the greater the earthquake impact index Q of the fire location. b The higher the value, the greater the risk of deformation in the load-bearing structure at the fire site, and the lower the structural stability of the fire site. Therefore, the building safety risk index S at the fire site is... b The larger the value, the lower the value; conversely, the smaller the value, the higher the ratio of the actual service life of the building at the fire site to the recommended service life of the building's load-bearing structural materials at the fire site. The smaller the value, the better the mechanical properties of the building's load-bearing structural materials at the fire site, and the lower the safety risk. Therefore, the building safety risk index S at the fire site is... b The smaller the value, the lower the earthquake impact index Q of the fire location. b The smaller the value, the lower the risk of deformation in the load-bearing structure at the fire site. Therefore, the building safety risk index S at the fire site is... b The smaller;

[0060] It should be noted that the standard safety risk index H0, the standard recommended service life T0, the first weighting coefficient γ1, the second weighting coefficient γ2, the first preset constant C1, and the second preset constant C2 are preset values ​​obtained based on experience, and will not be described in detail here.

[0061] It should be noted that the adjustment coefficients for the recommended service life and safety risk index of each type of building load-bearing structural material are preset values. Based on experience, the more unstable the type of building load-bearing structural material, the larger the safety risk index adjustment coefficient and the smaller the adjustment coefficient for the recommended service life; conversely, the more stable the type of building load-bearing structural material, the smaller the safety risk index adjustment coefficient and the larger the adjustment coefficient for the recommended service life.

[0062] In one embodiment of the present invention, the earthquake information data includes the number of earthquakes within a preset time period, the intensity of each earthquake, and the location of the epicenter; expressed by the formula:

[0063]

[0064] Calculate the seismic impact index Q of the fire location. b ;

[0065] Where M represents the number of earthquakes within a predetermined area where the fire occurred, m∈M; Q m L represents the intensity of the m-th earthquake. m ε represents the distance between the epicenter of the m-th earthquake and the location of the fire; b The seismic influence coefficient for the type of building load-bearing structural material at the location of the fire;

[0066] Through the above technical solution, in this embodiment, the stronger the earthquake intensity, the stronger the vibration and horizontal force brought by the earthquake will directly act on the load-bearing structure of the building, causing it to be subjected to huge stress and deformation. These stresses and deformations may exceed the design bearing capacity of the structure, causing cracking, damage, or even collapse of the structure. Therefore, the impact on the stability of the load-bearing structure at the fire site is greater, and the earthquake impact index Q of the fire site is higher. b The larger the magnitude of the earthquake, the farther the earthquake source is from the fire site. This is because the more the seismic waves attenuate, the smaller their energy and amplitude, and the weaker their stress and deformation effects on load-bearing structures. Therefore, the impact on the stability of load-bearing structures at the fire site is smaller, and the earthquake impact index Q of the fire site is higher. b The smaller the value, the more frequent the earthquakes; the more stress and deformation a building experiences during each earthquake accumulates, gradually weakening the strength and stiffness of the load-bearing structure, thus having a greater impact on the stability of the load-bearing structure at the fire site; the earthquake impact index Q of the fire site. bThe larger the value, the stronger the type of building load-bearing structure material at the fire site, and the less impact it has on the stability of the load-bearing structure at the fire site. The earthquake impact index Q at the fire site... b The smaller the value, the weaker the earthquake intensity, and the less impact it has on the stability of load-bearing structures at the fire site. The earthquake impact index Q at the fire site is [value missing]. b The smaller the value, the closer the earthquake source is to the fire site, the greater the impact on the stability of the load-bearing structures at the fire site, and the higher the earthquake impact index Q of the fire site. b The larger the value, the fewer the number of earthquakes, and the less impact on the stability of the load-bearing structure at the fire site. The earthquake impact index Q of the fire site... b The smaller the value, the less robust the building's load-bearing structural materials at the fire site, resulting in a smaller impact on the stability of the fire site's load-bearing structure and a lower seismic impact index Q. b The smaller;

[0067] It should be noted that the seismic influence coefficients for each type of building load-bearing structural material are preset values. Based on experience, the more unstable the type of building load-bearing structural material, the larger the seismic influence coefficient; conversely, the more stable the type of building load-bearing structural material, the smaller the seismic influence coefficient.

[0068] It should be noted that the method used to obtain the distance between the epicenter and the fire site is based on existing technology and will not be described in detail here;

[0069] It should be noted that the previously preset time period was from the time the building at the location of the fire was built to the present.

[0070] As one embodiment of the present invention, the process of building safety risk rating is as follows:

[0071] The building safety risk index S at the fire site b Compare with preset thresholds [R1, R2];

[0072] When S b When R1 is ≤, the building safety risk rating of the fire location is low risk;

[0073] When R1 b When R2 is ≤, the building safety risk rating of the fire location is medium risk;

[0074] When R2 b At that time, the building safety risk rating at the fire site was high.

[0075] Through the above technical solution, this embodiment will determine the building safety risk index S of the fire location. b Compare with preset thresholds [R1, R2]; when S b ​​When R1 ≤ R1, it indicates that the better the mechanical properties of the building's load-bearing structural materials at the fire site, the smaller the impact of earthquakes on the building's load-bearing structural materials, the good building stability at the fire site, and the building safety risk rating at the fire site is low; when R1 b When R2 ≤ R2, it indicates that the mechanical properties of the building's load-bearing structural materials at the fire site have decreased, or that the earthquake has had a significant impact on the building's load-bearing structural materials. This results in decreased building stability at the fire site, and the building safety risk rating for the fire site is medium risk. b At that time, the building safety risk rating of the fire site was medium risk; this indicates that the mechanical properties of the building's load-bearing structural materials at the fire site were poor or that the earthquake had a great impact on the building's load-bearing structural materials, resulting in very poor building stability at the fire site, and the building safety risk rating of the fire site was high risk.

[0076] It should be noted that the preset thresholds [R1, R2] are preset values ​​obtained based on experience, and will not be described in detail here.

[0077] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the claims of this invention should still fall within the patent coverage of this invention.​​

Claims

1. A signal processing algorithm for a safety helmet satellite communication terminal with integrated audible and visual alarm functions, characterized in that: Includes the following steps: Acquiring building information data: Obtain building information data of the fire location and earthquake information data within a preset range of the fire location through an external building information platform; The building information data includes the type of building load-bearing structural materials and the actual service life of the building; The earthquake information data includes the number of earthquakes within a preset past time period, the intensity of each earthquake, and the location of the epicenter; the preset past time period is from the time the building at the fire site was built to the present time; Calculate the building safety risk index: Analyze building information data and earthquake information data to obtain a building safety risk index used to assess the degree of building safety risk at the site of a fire; The process of obtaining the building safety risk index is as follows: S1: Obtain the type of load-bearing structural materials of the building at the location of the fire through an external building information platform; S2: Determine the adjustment parameters for the type of load-bearing structural materials of the building at the fire location based on the type of load-bearing structural materials at the fire location; the adjustment parameters include the safety risk index adjustment coefficient, the recommended service life adjustment coefficient, and the seismic influence coefficient; S3; Based on the adjustment parameters of the building's load-bearing structural material type and seismic information data at the fire site, the seismic impact index of the fire site is obtained. Through the formula: ; Calculate the building safety risk index at the fire site ; in, This is an adjustment coefficient for the safety risk index of the building's load-bearing structural material type at the location of the fire. Standard safety risk index; The actual service life of the site where the fire occurred; An adjustment factor for the recommended service life of the building's load-bearing structural materials at the location of the fire; The standard recommended service life; The earthquake impact index of the fire location; This is the first weighting coefficient; This is the second weighting coefficient; This is the first preset constant; This is the second preset constant; S4: Based on the adjustment parameters, the seismic impact index of the fire location, and the actual service life of the building, the building safety risk index of the fire location is obtained. Through the formula: ; Calculate the seismic impact index of the fire location. ; Where M represents the number of earthquakes within a predetermined range of the fire's location. ; For the first The intensity of the earthquake; For the first The distance between the epicenter of the earthquake and the site of the fire; The seismic influence coefficient for the type of building load-bearing structural material at the location of the fire; Determine the safety risk level: Assess the building safety risk level of the fire location based on the building safety risk index; the audible and visual alarm module installed on the safety helmet will issue corresponding warnings based on the building safety risk level.

2. The signal processing algorithm for the safety helmet satellite communication terminal with integrated audible and visual alarm function according to claim 1, characterized in that, The types of building load-bearing structural materials include wood structures, brick-wood structures, brick-concrete structures, reinforced concrete structures, and steel structures.

3. The signal processing algorithm for the safety helmet satellite communication terminal with integrated audible and visual alarm function according to claim 2, characterized in that, The process of building safety risk assessment is as follows: The building safety risk index of the fire site With preset threshold Compare; when At that time, the building safety risk rating at the fire site was low. when At that time, the building safety risk rating at the fire site was medium risk; when At the time, the building safety risk rating at the location of the fire was high.

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