Scenarized emergency early warning simulation control method and system based on wireless data

Abstract

The invention is suitable for the technical field of emergency early warning, and provides a scenarized emergency early warning simulation control method and system based on wireless data. The method comprises the steps of obtaining decoration arrangement information; the decoration monitoring data is subjected to scene identification and analysis of three elements of personnel, tools and sites, and whether noise is generated or not is judged in advance; when it is judged that noise will be generated, wireless early warning data are generated and transmitted to a plurality of representative early warning terminals; and a plurality of simulation early warning terminals are selected to carry out wireless cooperative transmission and emergency early warning. According to the invention, three-element scene identification and analysis of personnel, tools and sites can be carried out on decoration monitoring data, whether noise is generated or not is judged in advance, and wireless transmission and emergency early warning are carried out when the noise is judged to be generated, so that early warning is carried out on personnel in a plurality of decoration influence areas before the noise is generated; psychological frightening and discomfort caused by sudden noise are avoided, and it is ensured that attention concentration and working efficiency are not affected.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of emergency early warning, and particularly relates to a scene-based emergency early warning simulation control method and system based on wireless data. BACKGROUND

[0002] Emergency early warning is a management and technical means for reducing or avoiding losses caused by emergencies by monitoring, analyzing and predicting relevant risk information in advance to publish risk tips or warning information when emergencies are likely to occur or have occurred.

[0003] Emergency early warning has the characteristics of timeliness, accuracy, gradation and operability, and its application fields cover natural disasters, public health, safety production, social security and information security and other aspects.

[0004] In the prior art, emergency early warning is mostly associated with safety events such as natural disasters, fires, explosions, traffic accidents, and is mainly used to avoid casualties and major property losses. However, for events such as decoration noise that do not directly threaten personal safety but significantly interfere with people's daily life and work environment, there is still a lack of corresponding emergency early warning technology. Since decoration noise is often sudden and uncertain, such sudden strong noise can easily cause psychological shock and physiological discomfort to nearby residents or staff, and may even affect concentration and work efficiency, thereby reducing the comfort of living and working environment. SUMMARY

[0005] The purpose of the embodiment of the application is to provide a scene-based emergency early warning simulation control method and system based on wireless data, aiming to solve the technical problems existing in the prior art mentioned in the background.

[0006] The embodiment of the application is implemented as follows: The scene-based emergency early warning simulation control method based on wireless data specifically comprises the following steps: Obtain decoration arrangement information, determine a target decoration area, and perform decoration influence analysis to determine a plurality of decoration influence areas; Obtain decoration monitoring data of the target decoration area, and perform three-element scene-based identification and analysis of personnel, tools and sites on the decoration monitoring data to pre-judge whether noise will be generated; When it is determined that noise will be generated, generate wireless warning data and transmit it to a plurality of representative warning terminals corresponding to the plurality of decoration influence areas; Perform network analysis on a plurality of the representative warning terminals and a plurality of area warning terminals corresponding thereto, select a plurality of simulation warning terminals, and perform wireless cooperative transmission and emergency early warning.

[0007] As a further limitation of the technical solution of this embodiment of the invention, the steps of obtaining decoration arrangement information, determining the target decoration area, and performing decoration impact analysis to determine multiple decoration impact areas specifically include the following steps: Get renovation schedule information; The renovation arrangement information is identified to determine the target renovation area; Match target BIM data based on the target renovation area; Conduct an impact analysis of the renovation to determine the affected radiation distance; Based on the target BIM data, the target renovation area and the influence radiation distance are identified to determine multiple renovation influence areas.

[0008] As a further limitation of the technical solution of this embodiment of the invention, the step of acquiring the decoration monitoring data of the target decoration area, and performing scene-based identification and analysis of the three elements of personnel, tools and site in the decoration monitoring data to pre-determine whether noise will be generated specifically includes the following steps: The target renovation area is monitored in real time to obtain renovation monitoring data; Personnel identification is performed on the aforementioned renovation monitoring data, and the personnel identification results are recorded; The renovation monitoring data is then analyzed using a tool, and the analysis results are recorded. The site identification is performed on the aforementioned decoration monitoring data, and the site identification results are recorded; By combining the results of personnel identification, tool identification, and site identification, a scenario-based analysis is performed to predict in advance whether noise will be generated.

[0009] As a further limitation of the technical solution of this invention, the step of combining the personnel identification results, the tool identification results, and the site identification results to perform scene-based analysis and pre-determine whether noise will be generated specifically includes the following steps: Import noise scene data; Based on the noise scene data, the personnel identification results, the tool identification results, and the site identification results are matched in a three-element scene-based manner to determine whether they can be fully matched with the scene. If the scene can be fully matched, then it is determined that noise will be generated. If a scene cannot be fully matched, it is determined that no noise will be generated.

[0010] As a further limitation of the technical solution of this embodiment of the invention, the step of generating wireless early warning data and transmitting it to representative early warning terminals corresponding to multiple areas affected by the renovation when it is determined that noise will be generated specifically includes the following steps: When it is determined that noise will be generated, wireless early warning data is generated; Identify representative early warning terminals corresponding to multiple areas affected by the renovation; The wireless early warning data is wirelessly transmitted to multiple representative early warning terminals.

[0011] As a further limitation of the technical solution of this invention embodiment, the step of performing network analysis on multiple representative early warning terminals and corresponding multiple regional early warning terminals, selecting multiple simulated early warning terminals, and performing wireless collaborative transmission and emergency early warning specifically includes the following steps: Network analysis was performed on multiple representative early warning terminals to select multiple representative simulated early warning terminals; Perform early warning simulation control on multiple representative simulated early warning terminals; Identify multiple regional early warning terminals corresponding to the multiple representative early warning terminals; Network analysis was performed on multiple regional early warning terminals, and multiple regional simulated early warning terminals were selected. The wireless early warning data is transmitted to multiple corresponding regional simulated early warning terminals through multiple representative early warning terminals. Early warning simulation control is performed on multiple regional simulation early warning terminals.

[0012] A scenario-based emergency early warning simulation control system based on wireless data includes a renovation impact analysis module, a noise pre-judgment module, a wireless data transmission module, and a collaborative transmission early warning module, wherein: The renovation impact analysis module is used to obtain renovation schedule information, determine the target renovation area, and perform renovation impact analysis to identify multiple renovation impact areas. The noise prediction module is used to acquire the renovation monitoring data of the target renovation area, perform scene-based identification and analysis of the three elements of personnel, tools and site in the renovation monitoring data, and predict in advance whether noise will be generated. The wireless data transmission module is used to generate wireless early warning data when it is determined that noise will be generated, and transmit it to representative early warning terminals corresponding to multiple areas affected by the renovation. The collaborative transmission early warning module is used to perform network analysis on multiple representative early warning terminals and corresponding regional early warning terminals, select multiple simulated early warning terminals, and perform wireless collaborative transmission and emergency early warning.

[0013] As a further limitation of the technical solution of this embodiment of the invention, the decoration impact analysis module specifically includes: The information acquisition unit is used to acquire renovation arrangement information; An information identification unit is used to identify the decoration arrangement information and determine the target decoration area; The BIM data matching unit is used to match target BIM data according to the target decoration area; The influence distance determination unit is used to conduct renovation impact analysis and determine the influence radiation distance; The influence area determination unit is used to identify the influence of the target decoration area and the influence radiation distance based on the target BIM data, and to determine multiple decoration influence areas.

[0014] As a further limitation of the technical solution of this embodiment of the invention, the noise pre-judgment module specifically includes: A real-time monitoring unit is used to monitor the target renovation area in real time and acquire renovation monitoring data; A personnel identification unit is used to identify personnel in the decoration monitoring data and record the personnel identification results. The tool identification unit is used to identify tools in the decoration monitoring data and record the tool identification results. The site identification unit is used to identify the site from the decoration monitoring data and record the site identification results. The noise prediction unit is used to perform scenario-based analysis by integrating the personnel recognition results, the tool recognition results, and the site recognition results, and to predict in advance whether noise will be generated.

[0015] As a further limitation of the technical solution of this embodiment of the invention, the cooperative transmission early warning module specifically includes: The first network analysis unit is used to perform network analysis on the multiple representative early warning terminals and select multiple representative simulated early warning terminals. The first early warning simulation control unit is used to perform early warning simulation control on multiple representative simulated early warning terminals; A regional early warning terminal determination unit is used to determine multiple regional early warning terminals corresponding to multiple representative early warning terminals; The second network analysis unit is used to perform network analysis on the multiple regional early warning terminals and select multiple regional simulated early warning terminals. The data relay unit is used to relay the wireless early warning data to multiple corresponding regional simulated early warning terminals through multiple representative early warning terminals. The second early warning simulation control unit is used to perform early warning simulation control on multiple regional simulation early warning terminals.

[0016] Compared with the prior art, the beneficial effects of the present invention are: This invention acquires renovation schedule information; performs scenario-based identification and analysis of renovation monitoring data based on three key elements: personnel, tools, and location, to predict whether noise will occur; when noise is predicted, it generates wireless early warning data and transmits it to multiple representative early warning terminals; and selects multiple simulated early warning terminals for wireless collaborative transmission and emergency alerts. This allows for scenario-based identification and analysis of renovation monitoring data based on three key elements: personnel, tools, and location, to predict whether noise will occur, and to transmit and issue emergency alerts wirelessly when noise is predicted. This provides advance warning to personnel in multiple renovation-affected areas before noise occurs, avoiding sudden noise-induced psychological shock and discomfort, and ensuring that concentration and work efficiency are not affected. Attached Figure Description

[0017] Figure 1 A flowchart of the scenario-based emergency early warning simulation control method based on wireless data provided in an embodiment of the present invention is shown; Figure 2 The following is an application architecture diagram of the scenario-based emergency early warning simulation control system based on wireless data provided in an embodiment of the present invention. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0019] Understandably, current emergency warning technologies are mostly associated with safety events such as natural disasters, fires, explosions, and traffic accidents, primarily used to prevent casualties and significant property damage. However, there is a lack of corresponding emergency warning technologies for events like renovation noise, which do not directly threaten personal safety but significantly disrupt people's daily lives and work environments. Because renovation noise is often sudden and unpredictable, such sudden and intense noise can easily cause psychological fright and physical discomfort for nearby residents or workers, and may even affect concentration and work efficiency, thereby reducing the quality of life and the comfort of the office environment.

[0020] To address the aforementioned issues, this invention discloses a scenario-based emergency early warning simulation control method and system based on wireless data. This method acquires renovation schedule information, identifies target renovation areas, performs renovation impact analysis, and determines multiple renovation-affected areas. It acquires renovation monitoring data for the target renovation areas, performs scenario-based identification and analysis of the three elements (personnel, tools, and site) in the monitoring data, and pre-determines whether noise will occur. When noise is predicted, wireless early warning data is generated and transmitted to representative early warning terminals corresponding to multiple renovation-affected areas. Network analysis is performed on the multiple representative early warning terminals and corresponding area early warning terminals, and multiple simulated early warning terminals are selected for wireless collaborative transmission and emergency early warning. This method enables scenario-based identification and analysis of the three elements (personnel, tools, and site) in renovation monitoring data, pre-determines whether noise will occur, and performs wireless transmission and emergency early warning when noise is predicted. This provides advance warning to personnel in multiple renovation-affected areas before noise occurs, avoiding sudden noise-induced psychological shock and discomfort, and ensuring that concentration and work efficiency are not affected.

[0021] Specifically, Figure 1 A flowchart of a scenario-based emergency early warning simulation control method based on wireless data, provided by an embodiment of the present invention, is shown.

[0022] In a preferred embodiment of the present invention, the scenario-based emergency early warning simulation control method based on wireless data specifically includes the following steps: Step S101: Obtain renovation schedule information, determine the target renovation area, and conduct renovation impact analysis to identify multiple renovation impact areas.

[0023] In this embodiment of the invention, by receiving decoration arrangement information, identifying the decoration arrangement information, determining the target decoration area in the community or office building that is under decoration, matching the corresponding target decoration building according to the target decoration area, and then obtaining the target BIM data of the target decoration building, extracting the construction material data and the three-dimensional model of the target decoration building from the target BIM data, performing decoration impact analysis according to the construction material data, determining the impact radiation distance, and then performing decoration noise impact coverage analysis in the three-dimensional model of the building with the target decoration area as the center and the impact radiation distance as the radius, determining the impact coverage range of decoration noise, and identifying multiple decoration impact areas within the impact coverage range.

[0024] Understandably, based on the construction material data, the sound insulation effect of the target renovated building is evaluated and analyzed. The better the sound insulation effect of the target renovated building, the shorter the affected radiation distance; the worse the sound insulation effect of the target renovated building, the longer the affected radiation distance.

[0025] Specifically, in another preferred embodiment provided by the present invention, the steps of obtaining decoration arrangement information, determining the target decoration area, and performing decoration impact analysis to determine multiple decoration impact areas specifically include the following steps: Get renovation schedule information; The renovation arrangement information is identified to determine the target renovation area; Match target BIM data based on the target renovation area; Conduct an impact analysis of the renovation to determine the affected radiation distance; Based on the target BIM data, the target renovation area and the influence radiation distance are identified to determine multiple renovation influence areas.

[0026] Furthermore, the scenario-based emergency early warning simulation control method based on wireless data also includes the following steps: Step S102: Obtain the decoration monitoring data of the target decoration area, and perform scene-based identification and analysis of the three elements of personnel, tools and site on the decoration monitoring data to pre-determine whether noise will be generated.

[0027] In this embodiment of the invention, real-time monitoring of the target renovation area is performed to obtain renovation monitoring data. Then, personnel identification, tool identification, and site identification are performed on the renovation monitoring data, and the results of personnel identification, tool identification, and site identification are recorded. At the same time, noise scene data is imported. Based on the noise scene data, the three elements of personnel identification, tool identification, and site identification are matched in a scene-based manner to determine whether they can be fully matched with the scene. If they can be fully matched with the scene, it is determined that noise will be generated; if they cannot be fully matched with the scene, it is determined that no noise will be generated.

[0028] Understandably, the noise scene data records multiple scenarios that cause renovation noise, including wall demolition, floor drilling, and cutting. Different scenarios correspond to different personnel, tools, and locations. By performing scenario-based matching of personnel, tool, and location identification results, if a match is successfully made with the corresponding scenario in the noise scene data, it indicates that noisy work is about to take place, and thus, noise is determined to be generated. For example, by identifying a "plumber" picking up a "power drill" and entering a "plumbing and electrical modification site" through renovation monitoring data, a floor drilling scenario can be matched, and thus, noise is determined to be generated.

[0029] Specifically, in another preferred embodiment provided by the present invention, the step of acquiring the decoration monitoring data of the target decoration area, performing scene-based identification and analysis of the three elements of personnel, tools, and site in the decoration monitoring data, and pre-determining whether noise will be generated specifically includes the following steps: The target renovation area is monitored in real time to obtain renovation monitoring data; Personnel identification is performed on the aforementioned renovation monitoring data, and the personnel identification results are recorded; The renovation monitoring data is then analyzed using a tool, and the analysis results are recorded. The site identification is performed on the aforementioned decoration monitoring data, and the site identification results are recorded; By combining the results of personnel identification, tool identification, and site identification, a scenario-based analysis is performed to predict in advance whether noise will be generated.

[0030] Specifically, in another preferred embodiment provided by the present invention, the step of combining the personnel identification results, the tool identification results, and the site identification results to perform scenario-based analysis and pre-determine whether noise will be generated specifically includes the following steps: Import noise scene data; Based on the noise scene data, the personnel identification results, the tool identification results, and the site identification results are matched in a three-element scene-based manner to determine whether they can be fully matched with the scene. If the scene can be fully matched, then it is determined that noise will be generated. If a scene cannot be fully matched, it is determined that no noise will be generated.

[0031] Furthermore, the scenario-based emergency early warning simulation control method based on wireless data also includes the following steps: Step S103: When it is determined that noise will be generated, wireless early warning data is generated and transmitted to representative early warning terminals corresponding to multiple areas affected by the renovation.

[0032] In this embodiment of the invention, when it is determined that noise will be generated, wireless early warning data is generated, and representative early warning terminals corresponding to multiple renovation-affected areas are identified. The wireless early warning data is then wirelessly transmitted to the multiple representative early warning terminals.

[0033] It is understandable that multiple representative early warning terminals are mobile terminals belonging to representatives of multiple corresponding renovation-affected areas, such as the mobile terminals of homeowners or company managers; multiple representative early warning terminals are mobile terminals that are pre-connected to a scenario-based emergency early warning simulation control system based on wireless data.

[0034] Specifically, in another preferred embodiment provided by the present invention, the step of generating wireless early warning data and transmitting it to representative early warning terminals corresponding to multiple areas affected by the renovation when it is determined that noise will be generated specifically includes the following steps: When it is determined that noise will be generated, wireless early warning data is generated; Identify representative early warning terminals corresponding to multiple areas affected by the renovation; The wireless early warning data is wirelessly transmitted to multiple representative early warning terminals.

[0035] Furthermore, the scenario-based emergency early warning simulation control method based on wireless data also includes the following steps: Step S104: Perform network analysis on the multiple representative early warning terminals and the corresponding multiple regional early warning terminals, select multiple simulated early warning terminals, and perform wireless collaborative transmission and emergency early warning.

[0036] In this embodiment of the invention, network analysis is performed on multiple representative early warning terminals. If a representative early warning terminal connects to the wireless network of the corresponding renovation impact area, it indicates that it is in the corresponding renovation impact area and is marked as a representative simulated early warning terminal. Multiple representative simulated early warning terminals are then selected from the multiple representative early warning terminals, and early warning simulation control is performed on these terminals to provide early warning of renovation noise to the relevant personnel. Simultaneously, multiple regional early warning terminals corresponding to the multiple representative early warning terminals are determined, and network analysis is performed on these regional early warning terminals. If a regional early warning terminal connects to the wireless network of the corresponding renovation impact area, it indicates that it is in the corresponding renovation impact area and is marked as a regional simulated early warning terminal. Multiple regional simulated early warning terminals are then selected from the multiple regional early warning terminals, and wireless early warning data is forwarded to the corresponding multiple regional simulated early warning terminals through the multiple representative early warning terminals, and early warning simulation control is performed on the multiple regional simulated early warning terminals.

[0037] Understandably, the scenario-based emergency early warning simulation control system based on wireless data does not need to communicate with all mobile terminals in multiple renovation-affected areas. It only needs to communicate with one representative early warning terminal corresponding to each renovation-affected area. When there is an early warning requirement, the system forwards the warning to multiple corresponding area early warning terminals through multiple representative early warning terminals. This avoids the resource consumption and response delay caused by complex communication matching with all terminals, reduces the load on the communication network, and ensures that wireless early warning data can be transmitted to all terminals that need to be warned.

[0038] It is understandable that each representative early warning terminal corresponds to multiple regional early warning terminals, and each representative early warning terminal has a communication association with its corresponding multiple regional early warning terminals.

[0039] Specifically, in another preferred embodiment provided by the present invention, the step of performing network analysis on multiple representative early warning terminals and corresponding multiple regional early warning terminals, selecting multiple simulated early warning terminals, and performing wireless collaborative transmission and emergency early warning specifically includes the following steps: Network analysis was performed on multiple representative early warning terminals to select multiple representative simulated early warning terminals; Perform early warning simulation control on multiple representative simulated early warning terminals; Identify multiple regional early warning terminals corresponding to the multiple representative early warning terminals; Network analysis was performed on multiple regional early warning terminals, and multiple regional simulated early warning terminals were selected. The wireless early warning data is transmitted to multiple corresponding regional simulated early warning terminals through multiple representative early warning terminals. Early warning simulation control is performed on multiple regional simulation early warning terminals.

[0040] Furthermore, Figure 2 The following is an application architecture diagram of the scenario-based emergency early warning simulation control system based on wireless data provided in an embodiment of the present invention.

[0041] Specifically, in another preferred embodiment provided by the present invention, the scenario-based emergency early warning simulation control system based on wireless data includes: The renovation impact analysis module 101 is used to obtain renovation arrangement information, determine the target renovation area, and perform renovation impact analysis to identify multiple renovation impact areas.

[0042] In this embodiment of the invention, the decoration impact analysis module 101 receives decoration arrangement information, identifies the decoration arrangement information, determines the target decoration area in the community or office building that is under decoration, and then matches the corresponding target decoration building according to the target decoration area. Then, it obtains the target BIM data of the target decoration building, extracts the construction material data and the three-dimensional model of the target decoration building from the target BIM data, performs decoration impact analysis according to the construction material data, determines the impact radiation distance, and then performs decoration noise impact coverage analysis in the three-dimensional model of the building with the target decoration area as the center and the impact radiation distance as the radius to determine the impact coverage range of decoration noise and identify multiple decoration impact areas within the impact coverage range.

[0043] Specifically, in another preferred embodiment provided by the present invention, the decoration impact analysis module 101 specifically includes: The information acquisition unit is used to acquire renovation arrangement information; An information identification unit is used to identify the decoration arrangement information and determine the target decoration area; The BIM data matching unit is used to match target BIM data according to the target decoration area; The influence distance determination unit is used to conduct renovation impact analysis and determine the influence radiation distance; The influence area determination unit is used to identify the influence of the target decoration area and the influence radiation distance based on the target BIM data, and to determine multiple decoration influence areas.

[0044] Furthermore, the scenario-based emergency early warning simulation control system based on wireless data also includes: The noise prediction module 102 is used to acquire the decoration monitoring data of the target decoration area, perform scene-based identification and analysis of the three elements of personnel, tools and site on the decoration monitoring data, and predict in advance whether noise will be generated.

[0045] In this embodiment of the invention, the noise pre-judgment module 102 acquires decoration monitoring data by real-time monitoring of the target decoration area, and then performs personnel identification, tool identification, and site identification on the decoration monitoring data, recording the personnel identification results, tool identification results, and site identification results. At the same time, it imports noise scene data, and based on the noise scene data, performs scene-based matching of the personnel identification results, tool identification results, and site identification results to determine whether they can be fully matched with the scene. If they can be fully matched with the scene, it is determined that noise will be generated; if they cannot be fully matched with the scene, it is determined that no noise will be generated.

[0046] Specifically, in another preferred embodiment provided by the present invention, the noise pre-judgment module 102 specifically includes: A real-time monitoring unit is used to monitor the target renovation area in real time and acquire renovation monitoring data; A personnel identification unit is used to identify personnel in the decoration monitoring data and record the personnel identification results. The tool identification unit is used to identify tools in the decoration monitoring data and record the tool identification results. The site identification unit is used to identify the site from the decoration monitoring data and record the site identification results. The noise prediction unit is used to perform scenario-based analysis by integrating the personnel recognition results, the tool recognition results, and the site recognition results, and to predict in advance whether noise will be generated.

[0047] Furthermore, the scenario-based emergency early warning simulation control system based on wireless data also includes: The wireless data transmission module 103 is used to generate wireless early warning data when it is determined that noise will be generated, and transmit it to representative early warning terminals corresponding to multiple areas affected by the renovation.

[0048] In this embodiment of the invention, when it is determined that noise will be generated, the wireless data transmission module 103 generates wireless early warning data, determines representative early warning terminals corresponding to multiple renovation-affected areas, and wirelessly transmits the wireless early warning data to multiple representative early warning terminals.

[0049] The collaborative transmission early warning module 104 is used to perform network analysis on multiple representative early warning terminals and corresponding multiple regional early warning terminals, select multiple simulated early warning terminals, and perform wireless collaborative transmission and emergency early warning.

[0050] In this embodiment of the invention, the collaborative transmission early warning module 104 performs network analysis on multiple representative early warning terminals. If a representative early warning terminal connects to the wireless network of the corresponding renovation impact area, it means that it is in the corresponding renovation impact area and is marked as a representative simulated early warning terminal. Thus, multiple representative simulated early warning terminals are selected from the multiple representative early warning terminals, and early warning simulation control is performed on the multiple representative simulated early warning terminals to provide early warning of renovation noise to the corresponding personnel. At the same time, multiple regional early warning terminals corresponding to the multiple representative early warning terminals are determined, and network analysis is performed on the multiple regional early warning terminals. If a regional early warning terminal connects to the wireless network of the corresponding renovation impact area, it means that it is in the corresponding renovation impact area and is marked as a regional simulated early warning terminal. Thus, multiple regional simulated early warning terminals are selected from the multiple regional early warning terminals, and then the wireless early warning data is forwarded to the corresponding multiple regional simulated early warning terminals through the multiple representative early warning terminals to perform early warning simulation control on the multiple regional simulated early warning terminals.

[0051] Specifically, in another preferred embodiment provided by the present invention, the cooperative transmission early warning module 104 specifically includes: The first network analysis unit is used to perform network analysis on the multiple representative early warning terminals and select multiple representative simulated early warning terminals. The first early warning simulation control unit is used to perform early warning simulation control on multiple representative simulated early warning terminals; A regional early warning terminal determination unit is used to determine multiple regional early warning terminals corresponding to multiple representative early warning terminals; The second network analysis unit is used to perform network analysis on the multiple regional early warning terminals and select multiple regional simulated early warning terminals. The data relay unit is used to relay the wireless early warning data to multiple corresponding regional simulated early warning terminals through multiple representative early warning terminals. The second early warning simulation control unit is used to perform early warning simulation control on multiple regional simulation early warning terminals.

[0052] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

Claims

1. A wireless data-based scenario-based emergency warning simulation control method, characterized in that, The method specifically comprises the following steps: Obtaining decoration arrangement information, determining a target decoration area, and performing decoration influence analysis to determine a plurality of decoration influence areas; Obtaining decoration monitoring data of the target decoration area, performing three-element scene identification and analysis on the personnel, tools and site of the decoration monitoring data, and pre-judging whether noise will be generated; When it is judged that noise will be generated, wireless early warning data is generated and transmitted to a plurality of representative early warning terminals corresponding to the decoration influence areas; Network analysis is performed on a plurality of the representative early warning terminals and a plurality of area early warning terminals corresponding thereto, a plurality of simulation early warning terminals are selected, and wireless cooperative transmission and emergency early warning are performed. 2.The wireless data-based scenarioed emergency warning simulation control method according to claim 1, wherein, The obtaining of the decoration arrangement information, the determination of the target decoration area, and the decoration influence analysis to determine a plurality of decoration influence areas specifically comprises the following steps: Obtaining decoration arrangement information; Identifying the decoration arrangement information to determine a target decoration area; Matching target BIM data according to the target decoration area; Performing decoration influence analysis to determine an influence radiation distance; Based on the target BIM data, performing influence identification on the target decoration area and the influence radiation distance to determine a plurality of decoration influence areas. 3.The wireless data-based scenarioed emergency pre-warning simulation control method according to claim 1, wherein, The obtaining of the decoration monitoring data of the target decoration area, the performing of three-element scene identification and analysis on the personnel, tools and site of the decoration monitoring data, and the pre-judgment of whether noise will be generated specifically comprises the following steps: Real-time monitoring of the target decoration area to obtain decoration monitoring data; Performing personnel identification on the decoration monitoring data and recording the personnel identification result; Performing tool identification on the decoration monitoring data and recording the tool identification result; Performing site identification on the decoration monitoring data and recording the site identification result; Comprehensively analyzing the personnel identification result, the tool identification result and the site identification result to pre-judge whether noise will be generated. 4.The wireless data-based scenarioed emergency warning simulation control method according to claim 3, wherein, The comprehensive analysis of the personnel identification result, the tool identification result and the site identification result to pre-judge whether noise will be generated specifically comprises the following steps: Importing noise scene data; Based on the noise scene data, performing three-element scene matching on the personnel identification result, the tool identification result and the site identification result to judge whether full scene matching is possible; If full scene matching is possible, it is judged that noise will be generated; If full scene matching is not possible, it is judged that noise will not be generated.

5. The wireless data based scenarioed emergency pre-warning simulation control method according to claim 1, wherein, The generation of wireless early warning data when it is judged that noise will be generated, and the transmission of the wireless early warning data to a plurality of representative early warning terminals corresponding to the decoration influence areas specifically comprises the following steps: When it is judged that noise will be generated, wireless early warning data is generated; Determining a plurality of representative early warning terminals corresponding to the decoration influence areas; Wirelessly transmitting the wireless early warning data to a plurality of the representative early warning terminals.

6. The wireless data-based scenarioed emergency warning simulation control method of claim 1, wherein, The network analysis of a plurality of the representative early warning terminals and a plurality of area early warning terminals corresponding thereto, the selection of a plurality of simulation early warning terminals, and the wireless cooperative transmission and emergency early warning specifically comprises the following steps: Performing network analysis on a plurality of the representative early warning terminals to select a plurality of representative simulation early warning terminals; The multiple representative early warning terminals are controlled in the simulation early warning mode. Multiple regional early warning terminals corresponding to the multiple representative early warning terminals are determined. The multiple regional early warning terminals are analyzed in the network, and multiple regional simulation early warning terminals are selected. The wireless early warning data are transmitted to the multiple regional simulation early warning terminals corresponding to the multiple representative early warning terminals. The multiple regional simulation early warning terminals are controlled in the simulation early warning mode.

7. A wireless data based scenarioed emergency warning simulation control system, characterized by, The system comprises a decoration influence analysis module, a noise pre-judgment module, a wireless data transmission module and a collaborative transmission early warning module, wherein: The decoration influence analysis module is used for obtaining decoration arrangement information, determining a target decoration area, and performing decoration influence analysis to determine multiple decoration influence areas. The noise pre-judgment module is used for obtaining decoration monitoring data of the target decoration area, performing three-element scene identification and analysis on the decoration monitoring data, and pre-judging whether noise will be generated. The wireless data transmission module is used for generating wireless early warning data and transmitting the wireless early warning data to multiple representative early warning terminals corresponding to the multiple decoration influence areas when it is determined that noise will be generated. The collaborative transmission early warning module is used for analyzing the multiple representative early warning terminals and multiple regional early warning terminals corresponding to the multiple representative early warning terminals in the network, selecting multiple simulation early warning terminals, and performing wireless collaborative transmission and emergency early warning.

8. The wireless data based scenarioed emergency alert simulation control system of claim 7, wherein, The decoration influence analysis module specifically comprises: An arrangement information obtaining unit is used for obtaining decoration arrangement information. An arrangement information identification unit is used for identifying the decoration arrangement information to determine a target decoration area. A BIM data matching unit is used for matching target BIM data according to the target decoration area. An influence distance determination unit is used for performing decoration influence analysis to determine an influence radiation distance. An influence area determination unit is used for identifying the target decoration area and the influence radiation distance based on the target BIM data to determine multiple decoration influence areas.

9. The wireless data based scenarioed emergency alert simulation control system of claim 7, wherein, The noise pre-judgment module specifically comprises: A real-time monitoring unit is used for performing real-time monitoring on the target decoration area to obtain decoration monitoring data. A personnel identification unit is used for identifying personnel from the decoration monitoring data and recording a personnel identification result. A tool identification unit is used for identifying tools from the decoration monitoring data and recording a tool identification result. A site identification unit is used for identifying a site from the decoration monitoring data and recording a site identification result. A noise pre-judgment unit is used for comprehensively analyzing the personnel identification result, the tool identification result and the site identification result, performing scene analysis, and pre-judging whether noise will be generated.

10. The wireless data based scenarioed emergency alert simulation control system of claim 7, wherein, The collaborative transmission early warning module specifically comprises: A first network analysis unit is used for analyzing the multiple representative early warning terminals in the network and selecting multiple representative simulation early warning terminals. A first early warning simulation control unit is used for controlling the multiple representative simulation early warning terminals in the simulation early warning mode. A regional early warning terminal determination unit is used for determining multiple regional early warning terminals corresponding to the multiple representative early warning terminals. a second network analysis unit configured to perform network analysis on the plurality of regional early warning terminals and select a plurality of regional simulation early warning terminals; a data relay unit configured to relay the wireless early warning data to the corresponding plurality of regional simulation early warning terminals through the plurality of representative early warning terminals; a second early warning simulation control unit configured to perform early warning simulation control on the plurality of regional simulation early warning terminals.

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