Satellite communication terminal signal processing algorithm of safety helmet integrated with sound-light alarm function

Abstract

The invention relates to the field of satellite communication, and discloses a safety helmet satellite communication terminal signal processing algorithm integrated with a sound-light alarm function, and the signal processing algorithm comprises the following steps: obtaining building information data, calculating a building safety risk index, and determining a safety risk level. Firstly, building information data of a fire place and earthquake information data in a preset range of the fire place are acquired 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 place; and finally performing building safety risk rating on the fire place according to the building safety risk index of the fire place. A sound-light alarm module arranged on the safety helmet carries out corresponding early warning according to the building safety risk rating; according to the safety helmet, real-time evaluation and transmission of the building safety risk of a fire place are realized through the satellite communication terminal on the safety helmet.

Description

Technical Field

[0001] The present invention relates to the field of satellite communication, and specifically relates to a signal processing algorithm for a safety helmet satellite communication terminal integrated with an audible and visual alarm function. Background Art

[0002] A safety helmet satellite communication terminal is an intelligent safety helmet device integrated with satellite communication technology. It uses satellite signals to achieve remote positioning, communication, and monitoring functions, providing safety guarantees for outdoor workers and operating personnel.

[0003] In the prior art, a risk assessment-based intelligent high-altitude and hot work safety management system with the publication number "CN119559741A" integrates a flame sensor and a height sensor on a safety helmet, capable of real-time collecting flame information and the height change of operating personnel in the working environment; and through low-power wireless communication technology, the collected data will be transmitted to an edge computing device in real time. The edge computing device calculates a comprehensive risk index through multi-sensor data fusion. And determines whether to issue a warning according to the comprehensive risk index to reduce the accident rate.

[0004] However, the above technology still has relatively large defects. For example, in the above technology, a fire usually seriously damages the integrity and stability of the load-bearing structure of a building. As the fire occurs, the risk of the building collapsing increases sharply, which poses a great threat to operating personnel; usually, operating personnel mainly judge the safety risk of a building based on the building type and personal experience, but the evaluation result may have low accuracy, resulting in operating personnel may make overly risky decisions when making a rescue plan, ultimately putting operating personnel in unnecessary danger and increasing the possibility of accidents. Summary of the Invention

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

[0006] How to evaluate the building safety risk at the fire occurrence location through a safety helmet satellite communication terminal.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] A signal processing algorithm for a safety helmet satellite communication terminal integrated with an audible and visual alarm function includes the following steps:

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

[0010] Calculate the building safety risk index: Analyze the building information data and earthquake information data to obtain the building safety risk index for evaluating the building safety risk level at the fire occurrence location;

[0011] Determine the safety risk level: Conduct a building safety risk rating for the fire occurrence location based on the building safety risk index at the fire occurrence location; The sound and light alarm module set on the safety helmet gives corresponding warnings according to the building safety risk rating.

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

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

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

[0015] S2: Determine the adjustment parameters of the building load-bearing structure material type at the fire occurrence location according to the type of building load-bearing structure materials at the fire occurrence location;

[0016] S3; Analyze according to the adjustment parameters of the building load-bearing structure material type at the fire occurrence location and the earthquake information data to obtain the earthquake influence index at the fire occurrence location;

[0017] S4: Analyze according to the adjustment parameters, the earthquake influence index at the fire occurrence location, and the actual service life of the building to obtain the building safety risk index at the fire occurrence location.

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

[0019] As a further solution of the present invention: Through the formula:

[0020]

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

[0022] Among them, δ b is the safety risk index adjustment coefficient of the building load-bearing structure material type at the fire occurrence location; H0 is the standard safety risk index; T b is the actual service life of the fire occurrence location; α b is the adjustment coefficient of the recommended service life of the building load-bearing structure material type at the fire occurrence location; T0 is the standard recommended service life; Qb The earthquake influence index for the fire occurrence location; γ1 is the first weight coefficient; γ2 is the second weight coefficient; C1 is the first preset constant; C2 is the second preset constant.

[0023] As a further solution of the present invention: The earthquake information data includes the number of earthquakes within a preset past time period, the earthquake intensity of each earthquake, and the earthquake source location.

[0024] As a further solution of the present invention: Through the formula:

[0025]

[0026] Calculate the earthquake influence index Q of the fire occurrence location b ;

[0027] where M is the number of earthquakes within the preset range of the fire occurrence location, m ∈ M; Q m is the earthquake intensity of the m-th earthquake; L m is the distance between the earthquake source of the m-th earthquake and the fire occurrence location; ε b is the earthquake influence coefficient of the building load-bearing structure material type at the fire occurrence location.

[0028] As a further solution of the present invention: The process of building safety risk rating is as follows:

[0029] Compare the building safety risk index S b of the fire occurrence location with the preset threshold [R1, R2];

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

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

[0032] When R2 < S b , the building safety risk rating of the fire occurrence location is high risk.

[0033] The beneficial effects of the present invention:

[0034] (1) First, the present invention obtains the building information data of the fire occurrence location and the earthquake information data within a preset range of the fire occurrence location through an external building information platform; then analyzes the building information data and the earthquake information data to obtain a building safety risk index for evaluating the building safety risk degree of the fire occurrence location; finally, conducts a building safety risk rating for the fire occurrence location according to the building safety risk index of the fire occurrence location; the audible and visual alarm module set on the safety helmet gives corresponding warnings according to the building safety risk rating; realizes the evaluation and transmission of the building safety risk of the fire occurrence location through the satellite communication terminal on the safety helmet; assists the operators in making reasonable decisions when making rescue plans, avoids placing the operators in unnecessary dangers, and ensures the smooth progress of the rescue work;

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

[0036] (3) During the rescue process, the operators of the present invention can directly obtain the rating information of the building safety risk through the audible and visual alarm module without stopping the ongoing rescue actions, greatly improving the rescue efficiency and safety. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0038] Figure 1 It is a system module framework diagram of an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0039] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts belong to the scope of protection of the present invention.

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

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

[0042] Calculate the building safety risk index: Analyze the building information data and earthquake information data to obtain the building safety risk index for evaluating the building safety risk level at the fire occurrence location;

[0043] Determine the safety risk level: Conduct a building safety risk rating for the fire occurrence location based on the building safety risk index at the fire occurrence location; The acoustic and optical alarm module set on the safety helmet gives corresponding warnings according to the building safety risk rating.

[0044] Through the above technical solutions, in this embodiment, first, obtain the building information data at the fire occurrence location and the earthquake information data within the preset range of the fire occurrence location through an external building information platform; then analyze the building information data and earthquake information data to obtain the building safety risk index for evaluating the building safety risk level at the fire occurrence location; finally, conduct a building safety risk rating for the fire occurrence location based on the building safety risk index at the fire occurrence location; The acoustic and optical alarm module set on the safety helmet gives corresponding warnings according to the building safety risk rating; Realize the real-time evaluation and transmission of the building safety risk at the fire occurrence location through the satellite communication terminal on the safety helmet; During the rescue process, the operator only needs to simply check the acoustic and optical alarm module of the safety helmet to directly obtain the rating information of the building safety risk, thereby assisting the operator in making more reasonable and safe decisions, greatly reducing the probability of the operator being in unnecessary danger, and ensuring the smooth progress of the rescue work; And after obtaining the building information data at the fire occurrence location and the earthquake information data within the preset range, not only conduct in-depth data analysis to obtain the building safety risk index, but also further optimize the information processing and warning mechanism.

[0045] As an implementation manner of the present invention, the building information data includes the type of building load-bearing structure material and the actual service life of the building; The type of building load-bearing structure material includes wood structure, wood-brick 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 is, from strong to weak, steel structure, reinforced concrete structure, brick-concrete structure, wood-brick structure, and wood structure.

[0047] As an implementation manner of the present invention, the process of obtaining the building safety risk index is as follows:

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

[0049] S2: Determine the adjustment parameter of the building load-bearing structure material type at the fire occurrence location according to the type of building load-bearing structure material at the fire occurrence location;

[0050] S3; Analyze based on the adjustment parameters of the building load-bearing structure material type at the fire location and the seismic information data to obtain the seismic influence index of the fire location;

[0051] S4: Analyze based on the adjustment parameters, the seismic influence index of the fire location, and the actual service life of the building to obtain the building safety risk index of the fire location;

[0052] Through the above technical solution, in this embodiment, first, the building load-bearing structure material type at the fire location is obtained through an external building information platform; then, the adjustment parameters of the building load-bearing structure material type at the fire location are determined according to the building load-bearing structure material type at the fire location; then, analyze based on the adjustment parameters of the building load-bearing structure material type at the fire location and the seismic information data to obtain the seismic influence index of the fire location; when an earthquake occurs, even if the earthquake intensity is extremely small, the ground vibration caused by seismic waves may still cause slight cracks and deformations to the house; these cracks and deformations may be very small and even difficult to detect with the naked eye. However, over time, these slight cracks may gradually expand, resulting in a decline in structural performance; in addition, the deformation may also affect the stability of the house, especially under the cumulative effect of multiple small earthquakes; the seismic influence index reflects the degree of influence of the earthquake on the building at the fire location; finally, analyze based on the adjustment parameters, the seismic influence index of the fire location, and the actual service life of the building to obtain the building safety risk index of the fire location; evaluate the building safety risk from multiple perspectives, improve the accuracy of the evaluation, and intuitively reflect the degree of building safety risk through the building safety risk index, thereby assisting the operators to make more reasonable and safe decisions, greatly reducing the probability of the operators being in unnecessary danger, and ensuring the smooth progress of the rescue work.

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

[0054] Through the above technical solution, each building load-bearing structure material type in this embodiment has a set of adjustment parameters. Since the structural stabilities of different building load-bearing structure material types are different, the recommended service lives of different building load-bearing structure material types are different, the degrees of seismic influence are different, and the safety risk indexes are also different; the higher the structural stability of the building load-bearing structure material type, the longer the recommended service life of the building load-bearing structure material type, the lower the degree of seismic influence, and the lower the safety risk index; conversely, the lower the structural stability of the building load-bearing structure material type, the shorter the recommended service life of the building load-bearing structure material type, the higher the degree of seismic influence, and the higher the safety risk index; and the adjustment parameters of each building load-bearing structure material type are preset values, which are obtained based on experience and will not be elaborated here.

[0055] As an implementation manner of the present invention, through the formula:

[0056]

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

[0058] where, δ b is the safety risk index adjustment coefficient of the building load-bearing structure material type at the fire occurrence location; H0 is the standard safety risk index; T b is the actual service life at the fire occurrence location; α b is the adjustment coefficient of the recommended service life of the building load-bearing structure material type at the fire occurrence location; T0 is the standard recommended service life; Q b is the earthquake influence index at the fire occurrence location; γ1 is the first weight coefficient; γ2 is the second weight coefficient; C1 is the first preset constant; C2 is the second preset constant;

[0059] Through the above technical solution, in this embodiment, δ b H0 is the basic safety risk index of the building load-bearing structure material type at the fire occurrence location; α b T0 is the recommended service life of the building load-bearing structure material type at the fire occurrence location; is the ratio of the actual service life at the fire occurrence location to the recommended service life of the building load-bearing structure material type at the fire occurrence location; the ratio of the actual service life at the fire occurrence location to the recommended service life of the building load-bearing structure material type at the fire occurrence location The larger the ratio is, the worse the mechanical properties of the building load-bearing structure material at the fire occurrence location are, and the greater the safety risk is. Therefore, the building safety risk index S b is larger; the earthquake influence index Q b The larger the earthquake influence index Q is, the greater the risk of deformation of the load-bearing structure at the fire occurrence location is, and the structural stability of the fire occurrence location is reduced. Therefore, the building safety risk index S b is larger; conversely, the ratio of the actual service life at the fire occurrence location to the recommended service life of the building load-bearing structure material type at the fire occurrence location The smaller the ratio is, the better the mechanical properties of the building load-bearing structure material at the fire occurrence location are, and the smaller the safety risk is. Therefore, the building safety risk index S b is smaller; the earthquake influence index Q b The smaller the earthquake influence index Q is, the smaller the risk of deformation of the load-bearing structure at the fire occurrence location is. Therefore, the building safety risk index S b is smaller;

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

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

[0062] As an implementation manner of the present invention, the earthquake information data includes the number of earthquakes in a past preset time period, the earthquake intensity of each earthquake, and the epicenter location; through the formula:

[0063]

[0064] Calculate the earthquake influence index Q of the fire occurrence location b ;

[0065] where M is the number of earthquakes within the preset range of the fire occurrence location, m ∈ M; Q m is the earthquake intensity of the m-th earthquake; L m is the distance between the epicenter of the m-th earthquake and the fire occurrence location; ε b is the earthquake influence coefficient of the building load-bearing structure material type at the fire occurrence location;

[0066] Through the above technical solution, the stronger the earthquake intensity in this embodiment, the strong vibrations and horizontal forces brought by the earthquake will directly act on the load-bearing structure of the building, resulting in huge stress and deformation on it; these stresses and deformations may exceed the design bearing capacity of the structure, causing cracking, damage, or even collapse of the structure. Therefore, the greater the impact on the stability of the load-bearing structure at the fire occurrence location, the larger the earthquake influence index Q b of the fire occurrence location; the farther the distance between the earthquake epicenter and the fire occurrence location, because the more the seismic waves attenuate, the smaller their energy and amplitude will be, and the weaker the stress and deformation effects on the load-bearing structure will be. Therefore, the smaller the impact on the stability of the load-bearing structure at the fire occurrence location, the smaller the earthquake influence index Q b of the fire occurrence location; the more the number of earthquakes, the stress and deformation suffered by the building during each earthquake will accumulate continuously, gradually weakening the strength and stiffness of the load-bearing structure. Therefore, the greater the impact on the stability of the load-bearing structure at the fire occurrence location; the earthquake influence index Q bThe greater; the stronger the type of building load-bearing structure material at the fire location, the smaller the impact on the stability of the load-bearing structure at the fire location, and the seismic impact index Q of the fire location b The smaller; conversely, the weaker the seismic intensity, the smaller the impact on the stability of the load-bearing structure at the fire location, and the seismic impact index Q of the fire location b The smaller; the closer the distance between the earthquake epicenter and the fire location, the greater the impact on the stability of the load-bearing structure at the fire location, and the seismic impact index Q of the fire location b The greater; the fewer the number of earthquakes, the smaller the impact on the stability of the load-bearing structure at the fire location, and the seismic impact index Q of the fire location b The smaller; the less strong the type of building load-bearing structure material at the fire location, the smaller the impact on the stability of the load-bearing structure at the fire location, and the seismic impact index Q of the fire location b The smaller;

[0067] It should be noted that the seismic impact coefficient of each type of building load-bearing structure material is a preset value obtained based on experience. The more unstable the type of building load-bearing structure material, the greater the seismic impact coefficient of the type of building load-bearing structure material. Conversely, the more stable the type of building load-bearing structure material, the smaller the seismic impact coefficient of the type of building load-bearing structure material;

[0068] It should be noted that the method for obtaining the distance between the earthquake epicenter and the fire location is a prior art and will not be elaborated here;

[0069] It should be noted that the past preset time period is from the completion of the building at the fire location to the current time.

[0070] As an implementation manner of the present invention, the process of building safety risk rating is as follows:

[0071] Compare the building safety risk index S of the fire location b with the preset threshold [R1, R2];

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

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

[0074] When R2 < S b , the building safety risk rating of the fire location is high risk;

[0075] Through the above technical solution, in this embodiment, the building safety risk index S of the fire location b is compared with the preset threshold [R1, R2]; when S bWhen it is ≤ R1, it indicates that the mechanical properties of the building load-bearing structural materials at the fire occurrence location are better, the influence of the earthquake on the building load-bearing structural materials is smaller, the building stability at the fire occurrence location is good, and the building safety risk rating at the fire occurrence location is low risk; when R1 < S b ≤ R2, it indicates that the mechanical properties of the building load-bearing structural materials at the fire occurrence location decline or the influence of the earthquake on the building load-bearing structural materials is greater, the building stability at the fire occurrence location declines, and the building safety risk rating at the fire occurrence location is medium risk; when R2 < S b When it is, the building safety risk rating at the fire occurrence location is medium risk; it indicates that the mechanical properties of the building load-bearing structural materials at the fire occurrence location are poor or the influence of the earthquake on the building load-bearing structural materials is extremely large, the building stability at the fire occurrence location is very poor, and the building safety risk rating at the fire occurrence location is high risk;

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

[0077] The above has described an embodiment of the present invention in detail, but the content described is only a preferred embodiment of the present invention and cannot be considered as limiting the implementation scope of the present invention. All equivalent changes and improvements made according to the scope of the present invention application shall still fall within the scope covered by the patent of the present invention.

Claims

1. The signal processing algorithm of the safety helmet satellite communication terminal integrated with the audible and visual alarm function is characterized in that, Including the following steps: Obtain building information data: Obtain the building information data of the fire occurrence location and the seismic information data within a preset range of the fire occurrence location through an external building information platform; Calculate the building safety risk index: Analyze the building information data and the seismic information data to obtain a building safety risk index for evaluating the building safety risk level of the fire occurrence location; Determine the safety risk level: Conduct a building safety risk rating for the fire occurrence location based on the building safety risk index of the fire occurrence location; The acoustic and optical alarm module set on the safety helmet gives corresponding warnings according to the building safety risk rating.

2. The signal processing algorithm of the safety helmet satellite communication terminal integrated with an audible and visual alarm function according to claim 1, wherein The building information data includes the type of building load-bearing structure materials and the actual service life of the building; The types of building load-bearing structure materials include wooden structure, wood-brick structure, brick-concrete structure, reinforced concrete structure, and steel structure.

3. The signal processing algorithm of the safety helmet satellite communication terminal integrated with an audible and visual alarm function according to claim 2, characterized in that, The process of obtaining the building safety risk index is as follows: S1: Obtain the type of building load-bearing structure materials of the fire occurrence location through an external building information platform; S2: Determine the adjustment parameters of the building load-bearing structure materials type of the fire occurrence location according to the type of building load-bearing structure materials of the fire occurrence location; S3; Analyze according to the adjustment parameters of the building load-bearing structure materials type of the fire occurrence location and the seismic information data to obtain the seismic influence index of the fire occurrence location; S4: Analyze according to the adjustment parameters, the seismic influence index of the fire occurrence location, and the actual service life of the building to obtain the building safety risk index of the fire occurrence location.

4. The signal processing algorithm of the safety helmet satellite communication terminal integrated with an audible and visual alarm function according to claim 3, characterized in that, The adjustment parameters include the safety risk index adjustment coefficient, the adjustment coefficient of the recommended service life, and the seismic influence coefficient.

5. The signal processing algorithm of the safety helmet satellite communication terminal integrated with an audible and visual alarm function according to claim 4, characterized in that, Through the formula: Calculate the building safety risk index S at the fire occurrence location b ; Among them, δ b is the safety risk index adjustment coefficient of the building load-bearing structure material type at the fire occurrence location; H0 is the standard safety risk index; T b is the actual service life at the fire occurrence location; α b is the adjustment coefficient of the recommended service life of the building load-bearing structure material type at the fire occurrence location; T0 is the standard recommended service life; Q b is the seismic influence index at the fire occurrence location; γ1 is the first weight coefficient; γ2 is the second weight coefficient; C1 is the first preset constant; C2 is the second preset constant.

6. The signal processing algorithm of the safety helmet satellite communication terminal integrated with an audible and visual alarm function according to claim 5, characterized in that, The seismic information data includes the number of earthquakes in the past preset time period, the seismic intensity of each earthquake, and the epicenter location.

7. The signal processing algorithm of the safety helmet satellite communication terminal integrated with the audible and visual alarm function according to claim 6, characterized in that, Through the formula: Calculate the seismic influence index Q at the fire occurrence location b ; Where M is the number of earthquakes within a preset range of the fire occurrence location, m ∈ M; Q m is the earthquake intensity of the m-th earthquake; L m is the distance between the earthquake source of the m-th earthquake and the fire occurrence location; ε b is the earthquake influence coefficient of the building load-bearing structure material type at the fire occurrence location.

8. The signal processing algorithm of the safety helmet satellite communication terminal integrated with the audible and visual alarm function according to claim 7, characterized in that, The process of building safety risk rating is: Compare the building safety risk index S at the fire occurrence location b with the preset threshold [R1, R2]; When S b ≤ R1, the building safety risk rating at the fire occurrence location is a low risk; When R1 < S b ≤ R2, the building safety risk rating of the fire occurrence location is medium risk; When R2 < S b At this time, the building safety risk rating of the fire location is high risk.

Images