Operating room fire emergency plan assessment method and system based on virtual reality technology

Through the establishment of the operating room scene model and real -time identification data analysis in the virtual fire assessment, the problem of failing to ensure the safety and comprehensive understanding of the actual situation of the virtual fire assessment in the existing technologies in time, and achieved more efficient and accurate virtual fire protection fire protection Evaluation effect.

CN119379499AInactive Publication Date: 2025-01-28THE AFFILIATED SIR RUN RUN SHAW HOSPITAL OF SCHOOL OF MEDICINE ZHEJIANG UNIV
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Patent Information

Application Number
CN202410743250.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-06-11
Publication Date
2025-01-28
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The existing virtual fire assessment technology fails to effectively analyze the somatosensory data of the assessors, resulting in the inability to timely ensure the safety of the assessors, and the inability to fully and realistically understand the actual situation of the virtual fire assessment, which affects the accuracy and reference of the analysis results.

Method used

Adopt the method of fire emergency planning of the operating room based on virtual reality technology, and obtain the real -time signs of the assessment staff (such as heart rate, body temperature, and respiratory frequency) by building the scene model of the operating room. abnormal. At the same time, simulate the fire scene, obtain data from the escape routes of the assessment staff and the data of the gas fire extinguishing device, and conduct comprehensive analysis to determine whether the fire protection assessment of the assessment personnel is qualified.

Benefits of technology

Through real -time monitoring and assessment personnel's signs, ensure that the assessment is stopped in time when the signs are abnormal to ensure the safety of the assessment personnel. At the same time, through comprehensive and authentic data analysis, the accuracy and efficiency of virtual fire assessment are improved, and the effectiveness of the assessment is improved.

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Abstract

The invention discloses an operating room fire-fighting emergency plan assessment method and system based on a virtual reality technology, and relates to the technical field of virtual fire-fighting assessment, and the system comprises scene model building of an operating room, real-time physical sign data acquisition and analysis, assessment and fire-fighting data acquisition, assessment and fire extinguishing data analysis, and a display terminal. The real-time physical sign data of the examiner is acquired and analyzed, so that accidents of the examiner in the examination process are avoided, and the safety of virtual fire control examination is guaranteed; according to the method, the feasibility of fire-fighting emergency assessment is further analyzed, assessment data of assessment personnel and data of a gas fire extinguishing device are firstly analyzed, and then all analysis results are combined, so that the assessment result of the assessment personnel is obtained, and the comprehensiveness and authenticity of a virtual fire-fighting assessment feasibility analysis process are guaranteed; the problem of limitation in the development feasibility analysis process of the current virtual fire control examination is solved.
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Description

Technical Field

[0001] The present invention relates to the technical field of virtual fire assessment, and in particular to an operating room fire emergency plan assessment method and system based on virtual reality technology. Background Art

[0002] With the development of science and technology, virtual technology has gradually matured and can be connected to VR wearable devices in the fire protection industry for fire protection assessment. In the same type of fire protection assessment based on virtual technology, ensuring the safety of the assessors and the fire protection assessment analysis of the assessors are the key and core of fire protection assessment based on virtual technology.

[0003] At present, the feasibility of virtual fire assessment is mainly analyzed by analyzing the assessment information of the assessors. Obviously, this analysis method has the following problems:

[0004] 1. The current analysis of virtual fire assessment is mainly through the analysis of the assessment information of the assessors, and the physical data of the assessors are not analyzed first, so it is impossible to ensure that the assessors will stop the assessment immediately when the physical sense is abnormal, thereby failing to ensure the safety of the assessors, and failing to more accurately understand the actual situation of the current virtual fire assessment. At the same time, it is also impossible to ensure the comprehensiveness and authenticity of the feasibility analysis process of the virtual fire assessment, and thus it is impossible to ensure the reference and accuracy of the analysis results, and it is also impossible to provide a reliable basis for updating the virtual fire assessment method.

[0005] 2. Currently, the assessment data of the assessors and the data of the fire-fighting equipment are not analyzed separately, and then the analysis results are not combined for analysis, and then the comprehensive assessment of the assessors is analyzed to determine whether they are qualified. It is impossible to truly display the assessment situation of the assessors, and thus it is impossible to ensure the accuracy of the virtual fire assessment. Ultimately, it is impossible to improve the efficiency of the virtual fire assessment, and to a certain extent, it reduces the effect of the virtual fire assessment. Summary of the invention

[0006] In view of the above-mentioned technical deficiencies, the purpose of the present invention is to provide an operating room fire emergency plan assessment method and system based on virtual reality technology.

[0007] To solve the above technical problems, the present invention adopts the following technical solutions: In a first aspect, the present invention provides an operating room fire emergency plan assessment method based on virtual reality technology, the method comprising the following steps: Step 1, building a scene model of the operating room: loading the three-dimensional spatial position information in the operating room into the fire scene model of the operating room through virtual reality technology, and then building the scene model of the operating room; the three-dimensional spatial position information in the operating room includes the three-dimensional spatial layout in the operating room, the placement position and size of each surgical equipment, and the placement position and size of each fire-fighting equipment.

[0008] Step 2: Acquisition and analysis of real-time vital sign data: prompt the assessor to wear VR equipment for assessment, simulate the preset fire scenes in the scene model of the operating room, and use the VR equipment to display the fire scene in the operating room to the assessor, and track the assessment process from the assessor's perspective, and then use various sensor devices to obtain the assessor's real-time vital sign data, including the assessor's heart rate, body temperature, and respiratory rate; analyze the assessor's vital sign evaluation coefficient, and determine whether the assessor's vital signs are abnormal. When the assessor's vital signs are abnormal, immediately prompt to stop the assessor's assessment.

[0009] Preferably, the analysis obtains the physical sign assessment coefficient of the assessor, and the specific analysis process is as follows: the heart rate, body temperature, and respiratory rate of the assessor are recorded as X, T, and H, respectively, and substituted into the calculation formula The physical sign assessment coefficient λ of the assessor is obtained, where a, b, and c represent the heart rate influence value, body temperature influence value, and respiratory rate influence value of the assessor in the database, respectively; X′, T′, and H′ represent the reference heart rate, reference body temperature, and reference respiratory rate of the assessor in the database, respectively; ΔX, ΔT, and ΔH represent the allowed floating heart rate, allowed floating body temperature, and allowed floating respiratory rate of the assessor in the database, respectively; σ1, σ2, and σ3 represent the weight factor corresponding to the heart rate, the weight factor corresponding to the body temperature, and the weight factor corresponding to the respiratory rate of the assessor in the database, respectively.

[0010] Preferably, the specific judgment process for judging whether the physical signs of the assessee are abnormal is as follows: comparing the physical sign assessment coefficient of the assessee with the upper limit value and the lower limit value of the physical sign assessment coefficient in the database; when the physical sign assessment coefficient of the assessee is less than the lower limit value or greater than the upper limit value of the physical sign assessment coefficient in the database, it is judged that the physical signs of the assessee are abnormal, and a prompt is immediately given to stop the assessment of the assessee.

[0011] Preferably, the analysis obtains the assessment evaluation coefficient of the assessor, and the specific analysis process is as follows.

[0012] The length of the assessee's escape route, the duration of the escape, the duration of the dangerous area in the escape route, and the number of devices destroyed during the escape are recorded as L, TC, LC, and TS, respectively, and substituted into the calculation formula The assessment coefficient β1 of the assessor is obtained, where L′, TC′, LC′, and TS′ represent the reference escape route length, reference escape time, reference duration of the dangerous area in the escape route, and reference number of equipment destroyed during escape of the assessors in the database; ΔL, ΔTC, ΔLC, and ΔTS represent the allowed floating escape route length, allowed floating escape time, allowed floating duration of the dangerous area in the escape route, and allowed floating number of equipment destroyed during escape of the assessors in the database; ω1, ω2, ω3, and ω4 represent the weight factors corresponding to the escape route length, the weight factors corresponding to the escape time, the weight factors corresponding to the duration of the dangerous area in the escape route, and the weight factors corresponding to the number of equipment destroyed during escape of the assessors in the database, respectively.

[0013] Preferably, the analysis obtains a fire assessment coefficient of the gas fire extinguishing device, and the specific analysis process is as follows: the time the assessor turns on the gas fire extinguishing device, the number of damaged equipment in the gas fire extinguishing device, and the fire extinguishing time are recorded as KC, MS, and MC respectively.

[0014] According to the calculation formula The fire assessment coefficient β2 of the gas fire extinguishing device is obtained, where KC′, MS′, and MC′ respectively represent the time for the reference assessor to open the gas fire extinguishing device in the database, the number of damaged equipment in the reference gas fire extinguishing device, and the reference fire extinguishing time. ΔKC, ΔMS, and ΔMC respectively represent the time for the assessor to open the gas fire extinguishing device in the database, the number of damaged equipment in the gas fire extinguishing device, and the fire extinguishing time allowed to float. They respectively represent the weight factor corresponding to the length of time the assessor opens the gas fire extinguishing device in the database, the weight factor corresponding to the number of damaged equipment in the gas fire extinguishing device, and the weight factor corresponding to the fire extinguishing time.

[0015] Preferably, the analysis obtains the fire assessment coefficient of the assessor, and the specific analysis process is as follows:

[0016] The fire assessment coefficient β of the assessor is obtained according to the calculation formula β=β1*ρ1+β2*ρ2, where ρ1 is the weight factor corresponding to the assessment coefficient of the assessor in the database, and ρ2 is the weight factor corresponding to the fire assessment coefficient of the gas fire extinguishing device in the database.

[0017] Preferably, the specific judgment process for judging whether the fire assessment of the assessor is qualified is as follows: comparing the fire assessment evaluation coefficient of the assessor with the fire assessment evaluation coefficient threshold in the database; when the fire assessment evaluation coefficient of the assessor is greater than the fire assessment evaluation coefficient threshold in the database, the fire assessment of the assessor is judged to be qualified; otherwise, the fire assessment of the assessor is judged to be unqualified.

[0018] In a second aspect, the present invention provides an operating room fire emergency plan assessment system based on virtual reality technology, including: an operating room scene model building module, which is used to load the three-dimensional spatial position information in the operating room into the fire scene model of the operating room through virtual reality technology, and then build the operating room scene model; the three-dimensional spatial position information in the operating room includes the three-dimensional spatial layout in the operating room, the placement position and size of each surgical equipment, and the placement position and size of each fire-fighting equipment.

[0019] The real-time vital sign data acquisition and analysis module is used to prompt the assessor to wear VR equipment for assessment, simulate various preset fire scenes in the scene model of the operating room, and use the VR device to display the fire scene in the operating room to the assessor, and track the assessment process from the assessor's perspective, and then use various sensor devices to obtain the assessor's real-time vital sign data, which includes the assessor's heart rate, body temperature, and respiratory rate; analyze the assessor's vital sign evaluation coefficient, and determine whether the assessor's vital signs are abnormal. When the assessor's vital signs are abnormal, the assessor's assessment will be stopped immediately.

[0020] The assessment and fire data acquisition module is used to obtain the assessment data of the assessee during the assessment process tracked by the VR device when there is no abnormality in the assessee's vital signs. The assessment data includes the length of the escape route, the escape time, the time spent in the dangerous area of ​​the escape route, and the number of equipment destroyed during the escape; and to obtain the fire data of the gas fire extinguishing device. The fire data includes the time the assessee opens the gas fire extinguishing device, the number of damaged equipment in the gas fire extinguishing device, and the fire extinguishing time.

[0021] The assessment and fire extinguishing data analysis module is used to extract the assessment data of the assessor and the fire data of the gas fire extinguishing device; analyze and obtain the assessment evaluation coefficient of the assessor and the fire evaluation coefficient of the gas fire extinguishing device, and then analyze and obtain the fire assessment evaluation coefficient of the assessor, so as to determine whether the fire assessment of the assessor is qualified.

[0022] The display terminal is used to display whether the fire protection assessment of the assessor is qualified.

[0023] The beneficial effects of the present invention are as follows: 1. The operating room fire emergency plan assessment method and system based on virtual reality technology provided by the present invention obtains and analyzes the real-time vital sign data of the assessor, avoids accidents of the assessor during the assessment process, and ensures the safety of the virtual fire assessment; then the feasibility of the fire emergency assessment is analyzed, firstly the assessment data of the assessor and the data of the gas fire extinguishing device are analyzed respectively, and then the analysis results are combined to obtain the assessment results of the assessor, thereby ensuring the comprehensiveness and authenticity of the feasibility analysis process of the virtual fire assessment, and solving the limitations existing in the feasibility analysis process of the current virtual fire assessment development.

[0024] 2. The present invention first analyzes the physical data of the assessor, and then ensures that the assessor immediately stops the assessment when the physical sensation is abnormal, thereby ensuring the safety of the assessor and more accurately understanding the actual situation of the current virtual fire assessment. At the same time, it also ensures the comprehensiveness and authenticity of the feasibility analysis process of the virtual fire assessment, thereby ensuring the reference and accuracy of the analysis results, and also providing a reliable basis for updating the virtual fire assessment method.

[0025] 3. The present invention analyzes the assessment data of the assessor and the data of the fire-fighting equipment respectively, and then combines the analysis results for analysis, and then analyzes whether the comprehensive assessment of the assessor is qualified, and truly displays the assessment situation of the assessor, thereby ensuring the accuracy of the virtual fire assessment, and ultimately improving the efficiency of the virtual fire assessment, and improving the effect of the virtual fire assessment to a certain extent. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0027] Figure 1 The present invention is a schematic flow chart of the steps for implementing the method.

[0028] Figure 2 It is a schematic diagram of the system structure connection of the present invention. DETAILED DESCRIPTION

[0029] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0030] See also Figure 1 As shown, the present invention provides, in a first aspect, an operating room fire emergency plan assessment method based on virtual reality technology, including: step one, building a scene model of the operating room: loading the three-dimensional spatial position information in the operating room into the fire scene model of the operating room through virtual reality technology, and then building the scene model of the operating room; the three-dimensional spatial position information in the operating room includes the three-dimensional spatial layout in the operating room, the placement position and size of each surgical equipment, and the placement position and size of each fire-fighting equipment.

[0031] Step 2: Acquisition and analysis of real-time vital sign data: prompt the assessor to wear VR equipment for assessment, simulate the preset fire scenes in the scene model of the operating room, and use the VR equipment to display the fire scene in the operating room to the assessor, and track the assessment process from the assessor's perspective, and then use various sensor devices to obtain the assessor's real-time vital sign data, including the assessor's heart rate, body temperature, and respiratory rate; analyze the assessor's vital sign evaluation coefficient, and determine whether the assessor's vital signs are abnormal. When the assessor's vital signs are abnormal, immediately prompt to stop the assessor's assessment.

[0032] It should be noted that each sensor device obtains real-time vital signs data of the assessee. Each sensor device includes a heart rate sensor, a body temperature sensor and a respiratory sensor. The heart rate sensor obtains the heart rate of the assessee, the body temperature sensor obtains the body temperature of the assessee, and the respiratory sensor obtains the respiratory frequency of the assessee.

[0033] In a specific example, the analysis results in the physical sign assessment coefficient of the examinee. The specific analysis process is as follows: the heart rate, body temperature, and respiratory rate of the examinee are recorded as X, T, and H, respectively, and substituted into the calculation formula The physical sign assessment coefficient λ of the assessor is obtained, where a, b, and c represent the heart rate influence value, body temperature influence value, and respiratory rate influence value of the assessor in the database, respectively; X′, T′, and H′ represent the reference heart rate, reference body temperature, and reference respiratory rate of the assessor in the database, respectively; ΔX, ΔT, and ΔH represent the allowed floating heart rate, allowed floating body temperature, and allowed floating respiratory rate of the assessor in the database, respectively; σ1, σ2, and σ3 represent the weight factor corresponding to the heart rate, the weight factor corresponding to the body temperature, and the weight factor corresponding to the respiratory rate of the assessor in the database, respectively.

[0034] It should be noted that 0<σ1<1, 0<σ2<1, and 0<σ3<1.

[0036] In a specific example, the process of judging whether the assessor's physical signs are abnormal is as follows: comparing the assessor's physical sign assessment coefficient with the upper and lower limits of the physical sign assessment coefficient in the database; when the assessor's physical sign assessment coefficient is less than the lower limit or greater than the upper limit in the database, it is judged that the assessor's physical signs are abnormal, and the system immediately prompts to stop the assessor's assessment.

[0037] The present invention first analyzes the physical data of the assessor, and then ensures that the assessor immediately stops the assessment when the physical sensation is abnormal, thereby ensuring the safety of the assessor and more accurately understanding the current actual situation of the virtual fire assessment. At the same time, it also ensures the comprehensiveness and authenticity of the feasibility analysis process of the virtual fire assessment, thereby ensuring the reference and accuracy of the analysis results, and also providing a reliable basis for updating the virtual fire assessment method.

[0038] Step 3: Acquisition of assessment and firefighting data: When there is no abnormality in the physical signs of the assessee, the assessment data of the assessee is obtained during the assessment process tracked by the VR device. The assessment data includes the length of the escape route, the escape time, the time spent in the dangerous area of ​​the escape route, and the number of equipment destroyed during the escape; and the firefighting data of the gas fire extinguishing device is obtained. The firefighting data includes the time the assessee opens the gas fire extinguishing device, the number of damaged equipment in the gas fire extinguishing device, and the fire extinguishing time.

[0039] It should be noted that the gas fire extinguishing device is used in the operating room to prevent ordinary fire extinguishing equipment from damaging the instruments in the operating room. The equipment in the gas fire extinguishing device includes fire extinguishing gas emission equipment, ventilation equipment, etc. If the fire is too large and the equipment is damaged, it will affect the fire extinguishing effect.

[0040] Step 4: Assessment and fire extinguishing data analysis: extract the assessment data of the assessor and the fire data of the gas fire extinguishing device; analyze and obtain the assessment evaluation coefficient of the assessor and the fire assessment coefficient of the gas fire extinguishing device, and then analyze and obtain the fire assessment evaluation coefficient of the assessor, so as to determine whether the fire assessment of the assessor is qualified.

[0041] In a specific example, the analysis results in an assessment coefficient of the assessor. The specific analysis process is as follows: the length of the assessor's escape route, the duration of escape, the duration of the dangerous area in the escape route, and the number of devices destroyed during escape are recorded as L, TC, LC, and TS, respectively, and substituted into the calculation formula The assessment coefficient β1 of the assessor is obtained, where L′, TC′, LC′, and TS′ represent the reference escape route length, reference escape time, reference duration of the dangerous area in the escape route, and reference number of equipment destroyed during escape of the assessors in the database; ΔL, ΔTC, ΔLC, and ΔTS represent the allowed floating escape route length, allowed floating escape time, allowed floating duration of the dangerous area in the escape route, and allowed floating number of equipment destroyed during escape of the assessors in the database; ω1, ω2, ω3, and ω4 represent the weight factors corresponding to the escape route length, the weight factors corresponding to the escape time, the weight factors corresponding to the duration of the dangerous area in the escape route, and the weight factors corresponding to the number of equipment destroyed during escape of the assessors in the database, respectively.

[0042] It should be noted that 0<ω1<1, 0<ω2<1, 0<ω3<1, 0<ω4<1.

[0046] In a specific example, the analysis obtains the fire assessment coefficient of the gas fire extinguishing device, and the specific analysis process is as follows: the time the assessor turns on the gas fire extinguishing device, the number of damaged equipment in the gas fire extinguishing device, and the fire extinguishing time are recorded as KC, MS, and MC respectively.

[0047] According to the calculation formula The fire assessment coefficient β2 of the gas fire extinguishing device is obtained, where KC′, MS′, and MC′ respectively represent the time for the reference assessor to open the gas fire extinguishing device in the database, the number of damaged equipment in the reference gas fire extinguishing device, and the reference fire extinguishing time. ΔKC, ΔMS, and ΔMC respectively represent the time for the assessor to open the gas fire extinguishing device in the database, the number of damaged equipment in the gas fire extinguishing device, and the fire extinguishing time allowed to float. They respectively represent the weight factor corresponding to the length of time the assessor opens the gas fire extinguishing device in the database, the weight factor corresponding to the number of damaged equipment in the gas fire extinguishing device, and the weight factor corresponding to the fire extinguishing time.

[0048] It should be noted that

[0049] In a specific example, the analysis obtains the fire assessment evaluation coefficient of the assessor, and the specific analysis process is as follows: the fire assessment evaluation coefficient β of the assessor is obtained according to the calculation formula β=β1*ρ1+β2*ρ2, wherein ρ1 is the weight factor corresponding to the assessor's assessment evaluation coefficient in the database, and ρ2 is the weight factor corresponding to the fire assessment coefficient of the gas fire extinguishing device in the database.

[0050] It should be noted that 0<ρ1<1, 0<ρ2<1.

[0051] In a specific example, the fire assessment of the assessor is determined to be qualified, and the specific judgment process is as follows: the fire assessment evaluation coefficient of the assessor is compared with the fire assessment evaluation coefficient threshold in the database. When the fire assessment evaluation coefficient of the assessor is greater than the fire assessment evaluation coefficient threshold in the database, the fire assessment of the assessor is determined to be qualified; otherwise, the fire assessment of the assessor is determined to be unqualified.

[0052] The present invention analyzes the assessment data of the assessor and the data of the fire-fighting equipment respectively, and then combines the analysis results for analysis, and then analyzes whether the comprehensive assessment of the assessor is qualified, and truly displays the assessment situation of the assessor, thereby ensuring the accuracy of the virtual fire assessment, and ultimately improving the efficiency of the virtual fire assessment, and improving the effect of the virtual fire assessment to a certain extent.

[0053] Step 5: Display terminal: Display whether the fire protection assessment of the assessor is qualified.

[0054] See also Figure 2 As shown, the present invention provides, in a second aspect, an operating room fire emergency plan assessment system based on virtual reality technology, including: an operating room scene model building module, which is used to load the three-dimensional spatial position information in the operating room into the fire scene model of the operating room through virtual reality technology, and then build the operating room scene model; the three-dimensional spatial position information in the operating room includes the three-dimensional spatial layout in the operating room, the placement position and size of each surgical equipment, and the placement position and size of each fire-fighting equipment.

[0055] The real-time vital sign data acquisition and analysis module is used to prompt the assessor to wear VR equipment for assessment, simulate various preset fire scenes in the scene model of the operating room, and use the VR device to display the fire scene in the operating room to the assessor, and track the assessment process from the assessor's perspective, and then use various sensor devices to obtain the assessor's real-time vital sign data, which includes the assessor's heart rate, body temperature, and respiratory rate; analyze the assessor's vital sign evaluation coefficient, and determine whether the assessor's vital signs are abnormal. When the assessor's vital signs are abnormal, the assessor's assessment will be stopped immediately.

[0056] The assessment and fire data acquisition module is used to obtain the assessment data of the assessee during the assessment process tracked by the VR device when there is no abnormality in the assessee's vital signs. The assessment data includes the length of the escape route, the escape time, the time spent in the dangerous area of ​​the escape route, and the number of equipment destroyed during the escape; and to obtain the fire data of the gas fire extinguishing device. The fire data includes the time the assessee opens the gas fire extinguishing device, the number of damaged equipment in the gas fire extinguishing device, and the fire extinguishing time.

[0057] The assessment and fire extinguishing data analysis module is used to extract the assessment data of the assessor and the fire data of the gas fire extinguishing device; analyze and obtain the assessment evaluation coefficient of the assessor and the fire evaluation coefficient of the gas fire extinguishing device, and then analyze and obtain the fire assessment evaluation coefficient of the assessor, so as to determine whether the fire assessment of the assessor is qualified.

[0058] The display terminal is used to display whether the fire protection assessment of the assessor is qualified.

[0059] The operating room fire emergency plan assessment method and system based on virtual reality technology provided by the present invention obtain and analyze the real-time vital sign data of the assessor, avoid accidents of the assessor during the assessment process, and ensure the safety of the virtual fire assessment; then analyze the feasibility of the fire emergency assessment, first analyze the assessment data of the assessor and the data of the gas fire extinguishing device respectively, and then combine the analysis results to obtain the assessment result of the assessor, ensure the comprehensiveness and authenticity of the feasibility analysis process of the virtual fire assessment, and solve the limitations existing in the feasibility analysis process of the current virtual fire assessment development.

[0060] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they shall all fall within the protection scope of the present invention.

Claims

1. The operating room fire emergency plan assessment method based on virtual reality technology is characterized by: include: Step 1: Building a scene model of the operating room: Loading the three-dimensional spatial position information in the operating room into the fire scene model of the operating room through virtual reality technology, and then building the scene model of the operating room; the three-dimensional spatial position information in the operating room includes the three-dimensional spatial layout in the operating room, the placement and size of each surgical equipment, and the placement and size of each fire-fighting equipment; Step 2: Real-time vital sign data acquisition and analysis: prompt the examinee to wear VR equipment for assessment, simulate various preset fire scenes in the scene model of the operating room, and use the VR equipment to display the fire scene in the operating room for the examinee, and track the assessment process from the examinee's perspective, and then use various sensor devices to obtain the examinee's real-time vital sign data, including the examinee's heart rate, body temperature, and respiratory rate; analyze and obtain the examinee's vital sign evaluation coefficient, and determine whether the examinee's vital signs are abnormal, and when the examinee's vital signs are abnormal, immediately prompt to stop the examinee's assessment; Step 3: Acquisition of assessment and firefighting data: When the assessee's vital signs are normal, the assessment data of the assessee is obtained during the assessment process tracked by the VR device. The assessment data includes the length of the escape route, the duration of the escape, the duration of the dangerous area in the escape route, and the number of damaged equipment during the escape; and the firefighting data of the gas fire extinguishing device is obtained. The firefighting data includes the duration of the assessee turning on the gas fire extinguishing device, the number of damaged equipment in the gas fire extinguishing device, and the duration of the fire extinguishing; Step 4: Analysis of assessment and fire extinguishing data: Extract the assessment data of the assessor and the fire data of the gas fire extinguishing device; Analyze and obtain the assessment evaluation coefficient of the assessor and the fire evaluation coefficient of the gas fire extinguishing device, and then analyze and obtain the fire assessment evaluation coefficient of the assessor, so as to determine whether the fire assessment of the assessor is qualified; Step 5: Display terminal: Display whether the fire protection assessment of the assessor is qualified.

2. The operating room fire emergency plan assessment method based on virtual reality technology according to claim 1 is characterized in that: The analysis results in the physical sign assessment coefficient of the examinee, and the specific analysis process is as follows: The heart rate, body temperature, and respiratory rate of the examinee are recorded as X, T, and H respectively, and substituted into the calculation formula The physical sign assessment coefficient λ of the assessor is obtained, where a, b, and c represent the heart rate influence value, body temperature influence value, and respiratory rate influence value of the assessor in the database, respectively; X′, T′, and H′ represent the reference heart rate, reference body temperature, and reference respiratory rate of the assessor in the database, respectively; ΔX, ΔT, and ΔH represent the allowed floating heart rate, allowed floating body temperature, and allowed floating respiratory rate of the assessor in the database, respectively; σ1, σ2, and σ3 represent the weight factor corresponding to the heart rate, the weight factor corresponding to the body temperature, and the weight factor corresponding to the respiratory rate of the assessor in the database, respectively.

3. The operating room fire emergency plan assessment method based on virtual reality technology according to claim 2 is characterized in that: The specific process of judging whether the physical signs of the examinee are abnormal is as follows: The physical sign assessment coefficient of the assessor is compared with the upper and lower limits of the physical sign assessment coefficient in the database. When the physical sign assessment coefficient of the assessor is less than the lower limit or greater than the upper limit in the database, it is judged that the physical sign of the assessor is abnormal, and an immediate prompt is given to stop the assessment of the assessor.

4. The operating room fire emergency plan assessment method based on virtual reality technology according to claim 1 is characterized in that: The analysis results in the assessment coefficient of the assessor, and the specific analysis process is as follows: The length of the assessee's escape route, the duration of the escape, the duration of the dangerous area in the escape route, and the number of devices destroyed during the escape are recorded as L, TC, LC, and TS, respectively, and substituted into the calculation formula The assessment coefficient β1 of the assessor is obtained, where L′, TC′, LC′, and TS′ represent the reference escape route length, reference escape time, reference duration of the dangerous area in the escape route, and reference number of equipment destroyed during escape of the assessors in the database; ΔL, ΔTC, ΔLC, and ΔTS represent the allowed floating escape route length, allowed floating escape time, allowed floating duration of the dangerous area in the escape route, and allowed floating number of equipment destroyed during escape of the assessors in the database; ω1, ω2, ω3, and ω4 represent the weight factors corresponding to the escape route length, the weight factors corresponding to the escape time, the weight factors corresponding to the duration of the dangerous area in the escape route, and the weight factors corresponding to the number of equipment destroyed during escape of the assessors in the database, respectively.

5. The operating room fire emergency plan assessment method based on virtual reality technology according to claim 4 is characterized in that: The analysis results in the fire assessment coefficient of the gas fire extinguishing device. The specific analysis process is as follows: The time the examinee opens the gas fire extinguishing device, the number of damaged equipment in the gas fire extinguishing device, and the fire extinguishing time are recorded as KC, MS, and MC respectively; According to the calculation formula The fire assessment coefficient β2 of the gas fire extinguishing device is obtained, where KC′, MS′, and MC′ respectively represent the time for the reference assessor to open the gas fire extinguishing device in the database, the number of damaged equipment in the reference gas fire extinguishing device, and the reference fire extinguishing time. ΔKC, ΔMS, and ΔMC respectively represent the time for the assessor to open the gas fire extinguishing device in the database, the number of damaged equipment in the gas fire extinguishing device, and the fire extinguishing time allowed to float. They respectively represent the weight factor corresponding to the length of time the assessor opens the gas fire extinguishing device in the database, the weight factor corresponding to the number of damaged equipment in the gas fire extinguishing device, and the weight factor corresponding to the fire extinguishing time.

6. The operating room fire emergency plan assessment method based on virtual reality technology according to claim 5 is characterized in that: The analysis above yields the fire assessment coefficient of the assessor, and the specific analysis process is as follows: The fire assessment coefficient β of the assessor is obtained according to the calculation formula β=β1*ρ1+β2*ρ2, where ρ1 is the weight factor corresponding to the assessment coefficient of the assessor in the database, and ρ2 is the weight factor corresponding to the fire assessment coefficient of the gas fire extinguishing device in the database.

7. The operating room fire emergency plan assessment method based on virtual reality technology according to claim 6 is characterized in that: The specific judgment process for judging whether the fire protection assessment of the assessor is qualified is as follows: The fire assessment coefficient of the assessor is compared with the fire assessment coefficient threshold in the database. When the fire assessment coefficient of the assessor is greater than the fire assessment coefficient threshold in the database, the assessor's fire assessment is judged to be qualified; otherwise, the assessor's fire assessment is judged to be unqualified.

8. An operating room fire emergency plan assessment system based on virtual reality technology according to any one of claims 1 to 7, characterized in that: include: The scene model building module of the operating room is used to load the three-dimensional space position information in the operating room into the fire scene model of the operating room through virtual reality technology, and then build the scene model of the operating room; the three-dimensional space position information in the operating room includes the three-dimensional space layout in the operating room, the placement and size of each surgical equipment, and the placement and size of each fire-fighting equipment; The real-time vital sign data acquisition and analysis module is used to prompt the examiner to wear VR equipment for assessment, simulate various preset fire scenes in the scene model of the operating room, and use the VR device to display the fire scene in the operating room for the examiner, and track the assessment process from the examiner's perspective, and then use various sensor devices to obtain the examiner's real-time vital sign data, which includes the examiner's heart rate, body temperature, and respiratory rate; analyze and obtain the examiner's vital sign evaluation coefficient, and determine whether the examiner's vital signs are abnormal. When the examiner's vital signs are abnormal, immediately prompt to stop the examiner's assessment; The assessment and fire data acquisition module is used to obtain the assessment data of the assessor during the assessment process tracked by the VR device when there is no abnormality in the vital signs of the assessor. The assessment data includes the length of the escape route, the duration of the escape, the duration of the dangerous area in the escape route, and the number of equipment destroyed during the escape; and to obtain the fire data of the gas fire extinguishing device. The fire data includes the duration of the assessor turning on the gas fire extinguishing device, the number of damaged equipment in the gas fire extinguishing device, and the fire extinguishing duration; The assessment and fire extinguishing data analysis module is used to extract the assessment data of the assessor and the fire data of the gas fire extinguishing device; the assessment evaluation coefficient of the assessor is analyzed, and the fire evaluation coefficient of the gas fire extinguishing device is analyzed, and then the fire assessment evaluation coefficient of the assessor is analyzed, so as to judge whether the fire assessment of the assessor is qualified; The display terminal is used to display whether the fire protection assessment of the assessor is qualified.