High-speed rail lounge environment control system based on online monitoring and analysis

Abstract

The present invention belongs to the technical field of high-speed rail lounge supervision, and specifically is a high-speed rail lounge environment control system based on online monitoring and analysis, including a lounge partition monitoring module, an environmental anomaly capturing module, a lounge adaptive control module, a regional control and inspection module, a lounge control comprehensive evaluation module and a background supervision terminal; the present invention effectively monitors the environmental conditions of various areas in the high-speed rail lounge and automatically and adaptively adjusts to ensure the environmental comfort in the high-speed rail lounge, and analyzes the environmental control conditions of all monitoring areas during the detection period one by one through the regional control and inspection module to determine the abnormally controlled area or the optimally controlled area, and conducts a comprehensive analysis through the lounge control comprehensive evaluation module to accurately judge the environmental adjustment and control performance of the high-speed rail lounge, so as to facilitate and timely make corresponding improvement measures and strengthen environmental supervision, further ensure the environmental comfort of the high-speed rail lounge, and significantly improve the satisfaction of waiting passengers.

Description

Technical Field

[0001] The present invention relates to the technical field of high-speed rail lounge supervision, and in particular to a high-speed rail lounge environment management and control system based on online monitoring and analysis. Background Art

[0002] High-speed rail lounges refer to places that provide waiting and resting services for passengers. These lounges are usually located inside high-speed rail stations and are used to provide passengers with a comfortable and convenient environment so that they can rest or do other activities while waiting for high-speed trains. As an important resting and waiting area for passengers, the environmental quality of high-speed rail lounges directly affects passenger satisfaction.

[0003] At present, it is difficult to automatically and reasonably regulate the environment of each area of ​​the high-speed rail lounge and comprehensively judge the environmental regulation and control performance of the high-speed rail lounge. When it is judged that the environmental regulation and control performance is good, it is impossible to accurately evaluate the on-site management and maintenance status of the high-speed rail lounge, which is not conducive to timely taking corresponding improvement measures to ensure the environmental comfort of the high-speed rail lounge, and the level of intelligence is low;

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a high-speed railway lounge environment control system based on online monitoring and analysis, which solves the problems that the prior art is difficult to automatically and reasonably regulate the environment of various areas of the high-speed railway lounge and comprehensively judge the environmental regulation and control performance of the high-speed railway lounge, and when it is judged that the environmental regulation and control performance is good, it is impossible to accurately evaluate the on-site management and maintenance status of the high-speed railway lounge, which is not conducive to ensuring the environmental comfort of the high-speed railway lounge and has a low level of intelligence.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] The high-speed rail lounge environment control system based on online monitoring and analysis includes lounge partition monitoring module, environmental anomaly capture module, lounge adaptive control module, regional control and inspection module, lounge control comprehensive evaluation module and background supervision terminal;

[0008] The lounge partition monitoring module sets several monitoring areas in the high-speed rail lounge, marks the corresponding monitoring area as i, where i is a natural number greater than 1, and monitors the environment of all monitoring areas, collects the environmental information of each monitoring area and sends it to the environmental anomaly capture module;

[0009] The environment anomaly capture module captures the environment parameters in the monitoring area i that do not meet the corresponding preset data requirements in real time based on the environment information, and sends the environment parameters in the monitoring area i that do not meet the corresponding preset data requirements to the lounge adaptive control module, and the lounge adaptive control module performs environmental adaptability regulation on the corresponding monitoring area i;

[0010] The regional control and inspection module analyzes the environmental control status of the monitoring area i during the detection period, marks the monitoring area i as an abnormal control area or a good control area through analysis, and sends the marking information of the monitoring area i to the lounge control comprehensive evaluation module and the back-end supervision end;

[0011] The lounge control comprehensive evaluation module conducts a comprehensive evaluation and analysis of the environmental performance of the high-speed rail lounge during the detection period, generates a lounge control abnormality signal or a lounge control qualified signal through analysis, and sends the lounge control abnormality signal or the lounge control qualified signal to the background supervision end. The background supervision end issues an early warning when it receives the lounge control abnormality signal.

[0012] Furthermore, the specific analysis process of the environment anomaly capture module is as follows:

[0013] The carbon dioxide concentration data and oxygen concentration data of the monitoring area i are obtained, and the ratio of the carbon dioxide concentration data to the oxygen concentration data is marked as the carbon-oxygen coefficient; and the temperature data, humidity data, light intensity data and dust concentration data of the monitoring area i are obtained, and the carbon-oxygen coefficient, temperature data, humidity data, light intensity data and dust concentration data of the monitoring area i are compared with the corresponding preset data requirements one by one, thereby capturing the environmental parameters in the monitoring area i that do not meet the corresponding preset data requirements.

[0014] Furthermore, the specific operation process of the regional control and inspection module includes:

[0015] The total duration that the corresponding environmental parameters in the monitoring area i during the detection period do not meet the corresponding preset data requirements is obtained and marked as the total deviation time value of the environmental parameters, and when it is judged that the corresponding environmental parameters do not meet the corresponding preset data requirements, the data deviation amplitude value is collected, and all the data deviation amplitude values ​​of the corresponding environmental parameters in the monitoring area i during the detection period are averaged to obtain the data deviation value, and the number of occurrences that the single duration that the corresponding environmental parameters in the monitoring area i during the detection period do not meet the corresponding preset data requirements exceeds the corresponding preset single duration threshold is marked as the environmental parameter abnormal frequency detection value;

[0016] The environmental parameter control inspection value is obtained by numerically calculating the total time value of the environmental parameter deviation, the data deviation value and the environmental parameter abnormal frequency inspection value of the corresponding environmental parameter in the monitoring area i during the detection period, and each group of environmental parameters is set in advance to correspond to a group of preset influencing factors. The product of the environmental parameter control inspection value of the corresponding environmental parameter and the corresponding preset influencing factor is marked as the environmental parameter abnormal value, and the sum of the environmental parameter abnormal values ​​of all environmental parameters in the monitoring area i during the detection period is marked as the regional control inspection value;

[0017] Assign a preset regional control and inspection threshold that matches the monitoring area i, and compare the regional control and inspection value with the corresponding preset regional control and inspection threshold. If the regional control and inspection value exceeds the corresponding preset regional control and inspection threshold, the monitoring area i is marked as an abnormally controlled area; if the regional control and inspection value does not exceed the corresponding preset regional control and inspection threshold, the monitoring area i is marked as an optimally controlled area.

[0018] Furthermore, the specific process of allocating a preset regional control and inspection threshold matching the monitoring area i is as follows:

[0019] The regional monitoring symbol QP-1 or QP-2 of the monitoring area i is obtained. If the regional monitoring symbol QP-1 is obtained, the preset regional control and detection threshold LR1 is allocated to the monitoring area i; if the regional monitoring symbol QP-2 is obtained, the preset regional control and detection threshold LR2 is allocated to the monitoring area i, and LR2>LR1>0.

[0020] Furthermore, the regional control and inspection module is communicatively connected to the regional monitoring module. The regional monitoring module monitors all monitoring areas in the high-speed rail lounge through a camera, assigns regional monitoring compliance QP-1 or QP-2 to the monitoring area i based on the monitoring video and through analysis, and sends the regional monitoring symbol corresponding to the monitoring area i to the regional control and inspection module.

[0021] Furthermore, the specific analysis process of the regional monitoring module is as follows:

[0022] Based on the surveillance video, the real-time crowd flow data of the monitoring area i is obtained, and the average of all the real-time crowd flow data during the detection period is calculated to obtain the regional human inspection value. The regional human inspection value is numerically compared with the preset regional human inspection threshold. If the regional human inspection value exceeds the preset regional human inspection threshold, the monitoring area i is assigned regional monitoring compliance QP-1;

[0023] If the regional human inspection value exceeds the preset regional human inspection threshold, the total duration of the real-time human flow data of the monitoring area i exceeding the preset real-time human flow data threshold during the detection period is marked as the regional overload duration, and the regional human inspection value and the regional overload duration are numerically calculated to obtain the regional monitoring coefficient;

[0024] The regional monitoring coefficient is numerically compared with the preset regional monitoring coefficient threshold. If the regional monitoring coefficient exceeds the preset regional monitoring coefficient threshold, the monitoring area i is assigned regional monitoring compliance QP-1; if the regional monitoring coefficient does not exceed the preset regional monitoring coefficient threshold, the monitoring area i is assigned regional monitoring compliance QP-2.

[0025] Furthermore, the specific analysis process of the lounge control comprehensive evaluation module includes:

[0026] The number of abnormal control areas in the high-speed rail lounge during the detection period is obtained and its ratio to the total number of monitoring areas is marked as the lounge abnormal control value, and the excess value of the regional control inspection value of the corresponding abnormal control area compared with the corresponding preset regional control inspection threshold is marked as the abnormal control excess inspection value, and all abnormal control excess inspection values ​​in the detection period are averaged to obtain the abnormal control performance value, and the abnormal control excess inspection value with the largest value in the detection period is marked as the abnormal control excess amplitude value;

[0027] The lounge management evaluation value is obtained by numerically calculating the lounge abnormal control value, abnormal control performance value and abnormal control excess value, and the lounge management evaluation value is numerically compared with the preset lounge management evaluation threshold. If the lounge management evaluation value exceeds the preset lounge management evaluation threshold, a lounge control abnormality signal is generated; if the lounge management evaluation value does not exceed the preset lounge management evaluation threshold, a lounge control qualified signal is generated.

[0028] Furthermore, the lounge control comprehensive evaluation module is communicatively connected to the on-site management, maintenance and analysis module. The lounge control comprehensive evaluation module sends the lounge control qualified signal to the on-site management, maintenance and analysis module. When the on-site management, maintenance and analysis module receives the lounge control qualified signal, it analyzes the on-site management performance of the high-speed rail lounge during the detection period, and generates an on-site management qualified signal or an on-site management abnormal signal through analysis, and sends the on-site management qualified signal or the on-site management abnormal signal to the background supervision end. When the background supervision end receives the on-site management abnormal signal, it issues an early warning.

[0029] Furthermore, the specific analysis process of the on-site management and maintenance analysis module is as follows:

[0030] When a personnel conflict occurs in the high-speed rail lounge, the time difference between the time when the conflict occurs and the time when the on-site manager goes to start processing is calculated to obtain the processing buffer time, and the average of all processing buffer times in the detection period is calculated to obtain the conflict time value, and the number of processing buffer times that exceed the preset processing buffer time threshold in the detection period is marked as the conflict resolution value;

[0031] And collect real-time noise data of several positions in the high-speed rail lounge, calculate the average of the real-time noise data of all positions to obtain the lounge noise detection value, compare the lounge noise detection value with the preset lounge noise detection threshold, if the lounge noise detection value exceeds the preset lounge noise detection threshold, it is judged that the high-speed rail lounge is in a bad noise control state, and the total duration of the high-speed rail lounge in the bad noise control state during the detection period is marked as the noise control abnormal time value;

[0032] The on-site management and maintenance value is obtained by numerically calculating the conflict time value, the conflict resolution value and the noise pipe time value, and the on-site management and maintenance value is numerically compared with the preset on-site management and maintenance threshold. If the on-site management and maintenance value exceeds the preset on-site management and maintenance threshold, an on-site management abnormality signal is generated; if the on-site management and maintenance value does not exceed the preset on-site management and maintenance threshold, a on-site management qualified signal is generated.

[0033] Compared with the prior art, the present invention has the following beneficial effects:

[0034] 1. In the present invention, the environmental conditions of each area in the high-speed rail lounge are effectively monitored and automatically adaptively adjusted to ensure the environmental comfort of the high-speed rail lounge, and the environmental control conditions of all monitoring areas during the detection period are analyzed one by one through the regional control and inspection module to determine the abnormally controlled area or the optimally controlled area, and the lounge control comprehensive evaluation module is used to conduct a comprehensive analysis to accurately judge the environmental adjustment and control performance of the high-speed rail lounge, so as to facilitate and timely make corresponding improvement measures and strengthen environmental supervision, and further ensure the environmental comfort of the high-speed rail lounge;

[0035] 2. In the present invention, the lounge control qualification signal is sent to the on-site management, maintenance and analysis module through the lounge control comprehensive evaluation module. When the on-site management, maintenance and analysis module receives the lounge control qualification signal, it analyzes the on-site management performance of the high-speed rail lounge during the detection period. When it is judged that the environmental adjustment and control performance of the high-speed rail lounge is good, it can reasonably analyze and accurately evaluate the on-site management performance of the high-speed rail lounge, and timely strengthen the on-site supervision of the high-speed rail lounge, which is conducive to providing a good rest environment for waiting passengers and ensuring the safety of the high-speed rail lounge, and has a high level of intelligence. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;

[0037] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0038] Figure 2 This is a system block diagram of Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0039] 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.

[0040] Embodiment 1: Figure 1 As shown, the high-speed rail lounge environment control system based on online monitoring and analysis proposed by the present invention includes a lounge partition monitoring module, an environmental anomaly capture module, a lounge adaptive control module, a regional control and inspection module, a lounge control comprehensive evaluation module and a background supervision terminal;

[0041] The lounge partition monitoring module sets several monitoring areas in the high-speed rail lounge, marks the corresponding monitoring area as i, where i is a natural number greater than 1, and monitors the environment of all monitoring areas, collects the environmental information of each monitoring area and sends it to the environmental anomaly capture module;

[0042] The environment anomaly capture module captures the environment parameters that do not meet the corresponding preset data requirements in the monitoring area i in real time based on the environment information, and sends the environment parameters that do not meet the corresponding preset data requirements in the monitoring area i to the lounge adaptive control module. The specific analysis process of the environment anomaly capture module is as follows:

[0043] The carbon dioxide concentration data and oxygen concentration data of the monitoring area i are obtained, and the ratio of the carbon dioxide concentration data to the oxygen concentration data is marked as the carbon-oxygen coefficient; and the temperature data, humidity data, light intensity data and dust concentration data of the monitoring area i are obtained, and the carbon-oxygen coefficient, temperature data, humidity data, light intensity data and dust concentration data of the monitoring area i are compared with the corresponding preset data requirements one by one, thereby capturing the environmental parameters in the monitoring area i that do not meet the corresponding preset data requirements;

[0044] It should be noted that if the carbon-oxygen coefficient exceeds the preset carbon-oxygen coefficient threshold, it is judged that the carbon-oxygen coefficient does not meet the corresponding preset data requirements; if the temperature data, humidity data, and light intensity data are not within the preset temperature data range, the preset humidity data range, and the preset light intensity data range, it is judged that the temperature data, humidity data, and light intensity data do not meet the corresponding preset data requirements; if the dust concentration data exceeds the preset dust concentration data threshold, it is judged that the dust concentration data does not meet the corresponding preset data requirements.

[0045] The lounge adaptive control module performs environmental adaptability regulation (including temperature, humidity and light adjustment, etc.) on the corresponding monitoring area i. It can effectively monitor the environmental conditions of each area in the high-speed rail lounge and automatically adjust them adaptively. It has a high degree of intelligence and automation, which is conducive to ensuring the environmental comfort in the high-speed rail lounge.

[0046] The regional control and inspection module analyzes the environmental control status of the monitoring area i during the detection period, marks the monitoring area i as an abnormally controlled area or an optimally controlled area through analysis, and sends the marking information of the monitoring area i to the lounge control comprehensive evaluation module and the back-end supervision end, which is not only conducive to the back-end personnel to grasp the environmental adjustment and control status of each area in the high-speed rail lounge in detail, but also can provide information support for the analysis process of the lounge control comprehensive evaluation module, thereby ensuring the accuracy of its analysis results; the specific operation process of the regional control and inspection module is as follows:

[0047] The total duration that the corresponding environmental parameters in the monitoring area i during the detection period do not meet the corresponding preset data requirements is obtained and marked as the total deviation time value of the ring parameter, and when it is judged that the corresponding environmental parameters do not meet the corresponding preset data requirements, the data deviation amplitude value (that is, the data value of the deviation degree of the real-time detection data of the corresponding environmental parameters compared to the corresponding preset data requirements) is collected, and the data deviation value is obtained by averaging all the data deviation amplitude values ​​of the corresponding environmental parameters in the monitoring area i during the detection period, and the number of occurrences of the single continuous duration that the corresponding environmental parameters in the monitoring area i during the detection period do not meet the corresponding preset data requirements exceeds the corresponding preset single continuous duration threshold is marked as the ring parameter abnormal frequency detection value;

[0048] By formula The total time value of the environmental parameter deviation YPi, the data deviation value YFi and the environmental parameter frequency detection value YSi of the corresponding environmental parameter in the monitoring area i during the detection period are numerically calculated to obtain the environmental parameter control value YMi; wherein q1, q2, and q3 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the environmental parameter control value YMi, the worse the adjustment and control performance of the corresponding environmental parameter in the monitoring area i;

[0049] Each group of environmental parameters is set in advance to correspond to a group of preset influencing factors, wherein the values ​​of the preset influencing factors are all positive numbers, and the stronger the correlation between the corresponding environmental parameters and the comfort of the rest environment, the larger the value of the preset influencing factors that match them; the product of the environmental parameter control inspection value of the corresponding environmental parameter and the corresponding preset influencing factor is marked as the environmental parameter control outlier value, and the sum of the environmental parameter control outliers of all environmental parameters in the monitoring area i during the detection period is marked as the regional control inspection value;

[0050] The regional monitoring symbol QP-1 or QP-2 of the monitoring area i is obtained. If the regional monitoring symbol QP-1 is obtained, the preset regional control threshold LR1 is allocated to the monitoring area i; if the regional monitoring symbol QP-2 is obtained, the preset regional control threshold LR2 is allocated to the monitoring area i, and LR2>LR1>0. The preset regional control threshold can be reasonably allocated to different monitoring areas according to their importance, thereby ensuring the accuracy of the analysis results for each monitoring area;

[0051] The regional control and inspection value is numerically compared with the corresponding preset regional control and inspection threshold. If the regional control and inspection value exceeds the corresponding preset regional control and inspection threshold, it indicates that the environmental adjustment and control performance for the monitoring area i during the monitoring period is poor, and the monitoring area i is marked as an abnormally controlled area; if the regional control and inspection value does not exceed the corresponding preset regional control and inspection threshold, it indicates that the environmental adjustment and control performance for the monitoring area i during the monitoring period is good, and the monitoring area i is marked as an excellently controlled area.

[0052] Furthermore, the regional control and inspection module is connected to the regional monitoring module through communication. The regional monitoring module monitors all monitoring areas in the high-speed rail lounge through cameras, assigns regional monitoring compliance QP-1 or QP-2 to the monitoring area i based on the monitoring video and through analysis, and sends the regional monitoring symbol corresponding to the monitoring area i to the regional control and inspection module, providing information support for the analysis process of the regional control and inspection module to ensure the accuracy of its analysis results; the specific analysis process of the regional monitoring module is as follows:

[0053] Based on the surveillance video, the real-time crowd flow data of the monitoring area i is obtained, and the average of all the real-time crowd flow data during the detection period is calculated to obtain the regional human inspection value. The regional human inspection value is numerically compared with the preset regional human inspection threshold. If the regional human inspection value exceeds the preset regional human inspection threshold, the monitoring area i is assigned regional monitoring compliance QP-1;

[0054] If the regional human inspection value exceeds the preset regional human inspection threshold, the total duration of the real-time human flow data of the monitoring area i exceeding the preset real-time human flow data threshold during the detection period is marked as the regional overload duration, and the regional human inspection value QR and the regional overload duration QS are numerically calculated by the formula QNi=k1*QRi+k2*QSi to obtain the regional monitoring coefficient QNi; wherein k1 and k2 are preset weight coefficients, and the values ​​of k1 and k2 are both positive numbers, and the larger the value of the regional monitoring coefficient QNi is, the more important the monitoring area i is, and the more it is necessary to strengthen the environmental control of the monitoring area i;

[0055] The regional monitoring coefficient QNi is numerically compared with the preset regional monitoring coefficient threshold. If the regional monitoring coefficient QNi exceeds the preset regional monitoring coefficient threshold, it indicates that the monitoring area i is more important and the environmental control of the monitoring area i needs to be strengthened. In this case, the monitoring area i is assigned regional monitoring compliance QP-1. If the regional monitoring coefficient QNi does not exceed the preset regional monitoring coefficient threshold, it indicates that the importance of the monitoring area i is weak. In this case, the monitoring area i is assigned regional monitoring compliance QP-2.

[0056] The lounge control comprehensive evaluation module conducts a comprehensive evaluation and analysis of the environmental performance of the high-speed rail lounge during the detection period, generates a lounge control abnormality signal or a lounge control qualified signal through analysis, and sends the lounge control abnormality signal or lounge control qualified signal to the background supervision end;

[0057] When the background monitoring terminal receives abnormal signals from lounge control, it will issue an early warning, and can comprehensively analyze and accurately judge the environmental adjustment and control performance of the high-speed rail lounge during the detection period, and make corresponding improvement measures and strengthen environmental supervision in a timely manner after issuing an early warning, so as to further ensure the environmental comfort of the high-speed rail lounge; the specific analysis process of the lounge control comprehensive evaluation module is as follows:

[0058] The number of abnormal control areas in the high-speed rail lounge during the detection period is obtained and its ratio to the total number of monitoring areas is marked as the lounge abnormal control value, and the excess value of the regional control inspection value of the corresponding abnormal control area compared with the corresponding preset regional control inspection threshold is marked as the abnormal control excess inspection value, and the abnormal control excess inspection values ​​of all abnormal control areas during the detection period are averaged to obtain the abnormal control performance value, and the abnormal control excess inspection value with the largest value in the detection period is marked as the abnormal control excess amplitude value;

[0059] The lounge management evaluation value XG is obtained by numerically calculating the lounge abnormal control value XR, abnormal control performance value XL and abnormal control excess value XP through the formula XG=my1*XR+(my2*XL+my3*XP) / 2; among them, my1, my2 and my3 are preset proportional coefficients, my1>my2>my3>0; and the larger the value of the lounge management evaluation value XG, the worse the overall environmental regulation and control performance of the high-speed rail lounge during the detection period;

[0060] The lounge management evaluation value XG is numerically compared with the preset lounge management evaluation threshold. If the lounge management evaluation value XG exceeds the preset lounge management evaluation threshold, it indicates that the environmental adjustment and control performance of the high-speed rail lounge during the detection period is generally poor, and a lounge control abnormality signal is generated; if the lounge management evaluation value XG does not exceed the preset lounge management evaluation threshold, it indicates that the environmental adjustment and control performance of the high-speed rail lounge during the detection period is generally good, and a lounge control qualified signal is generated.

[0061] Embodiment 2: Figure 2As shown, the difference between this embodiment and the first embodiment is that the lounge control comprehensive evaluation module is connected to the on-site management maintenance analysis module in communication, and the lounge control comprehensive evaluation module sends the lounge control qualified signal to the on-site management maintenance analysis module. When the on-site management maintenance analysis module receives the lounge control qualified signal, it analyzes the on-site management performance of the high-speed rail lounge during the detection period, generates a on-site management qualified signal or an on-site management abnormal signal through analysis, and sends the on-site management qualified signal or the on-site management abnormal signal to the background supervision end;

[0062] When the background monitoring end receives an abnormal signal of on-site management, it will issue an early warning. When it is judged that the environmental adjustment and control performance of the high-speed rail lounge is good, it can reasonably analyze and accurately evaluate the on-site management performance of the high-speed rail lounge, and promptly strengthen the on-site supervision of the high-speed rail lounge after issuing an early warning, which is conducive to providing a good rest environment for waiting passengers and ensuring the safety of the high-speed rail lounge. The specific analysis process of the on-site management maintenance analysis module is as follows:

[0063] When a personnel conflict occurs in the high-speed rail lounge, the time difference between the time when the conflict occurs and the time when the on-site manager goes to start processing is calculated to obtain the processing buffer time, the average of all processing buffer times in the detection period is calculated to obtain the conflict time value, and the processing buffer time is numerically compared with the preset processing buffer time threshold, and the number of processing buffer times that exceed the preset processing buffer time threshold in the detection period is marked as the conflict resolution value;

[0064] And collect real-time noise data (i.e., the data volume value of the noise decibel value) of several positions in the high-speed rail lounge, calculate the average of the real-time noise data of all positions to obtain the lounge noise detection value, compare the lounge noise detection value with the preset lounge noise detection threshold, if the lounge noise detection value exceeds the preset lounge noise detection threshold, it indicates that the high-speed rail lounge is noisy at the corresponding time, then it is judged that the high-speed rail lounge is in a bad noise control state, and the total duration of the high-speed rail lounge in the bad noise control state during the detection period is marked as the noise control abnormal time value;

[0065] By formula The conflict time value GW, conflict resolution value GY and noise pipe time value GL are numerically calculated to obtain the on-site management and maintenance value XW; wherein h, e and f are preset proportional coefficients, e>h>f>0; and the larger the value of the on-site management and maintenance value XW is, the worse the on-site management and maintenance status of the high-speed rail lounge during the detection period is in general;

[0066] The on-site management and maintenance value XW is numerically compared with the preset on-site management and maintenance threshold. If the on-site management and maintenance value XW exceeds the preset on-site management and maintenance threshold, indicating that the on-site management and maintenance conditions of the high-speed rail lounge during the detection period are generally poor, then an on-site management abnormality signal is generated; if the on-site management and maintenance value XW does not exceed the preset on-site management and maintenance threshold, indicating that the on-site management and maintenance conditions of the high-speed rail lounge during the detection period are generally good, then a on-site management qualified signal is generated.

[0067] The working principle of the present invention is as follows: when in use, the environment of all monitoring areas in the high-speed rail lounge is monitored through the lounge partition monitoring module. The environmental anomaly capture module captures the environmental parameters in the corresponding monitoring area that do not meet the corresponding preset data requirements in real time based on the environmental information. The lounge adaptive control module performs environmental adaptability regulation on the corresponding monitoring area, and can effectively monitor the environmental conditions of each area in the high-speed rail lounge and automatically adjust them adaptively, which is conducive to ensuring the environmental comfort in the high-speed rail lounge. The environmental control conditions of all monitoring areas during the detection period are analyzed one by one through the regional control and inspection module to determine the abnormal control area or the optimal control area. The lounge control comprehensive evaluation module performs a comprehensive evaluation and analysis on the environmental performance of the high-speed rail lounge to generate a lounge control abnormality signal or a lounge control qualified signal. It can comprehensively analyze and accurately judge the environmental adjustment and control performance of the high-speed rail lounge, so as to make corresponding improvement measures and strengthen environmental supervision in a timely manner, and further ensure the environmental comfort of the high-speed rail lounge.

[0068] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions. The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the contents of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. The high-speed rail lounge environment control system based on online monitoring and analysis is characterized by: It includes lounge partition monitoring module, environmental anomaly capture module, lounge adaptive control module, regional control and inspection module, lounge management and control comprehensive evaluation module and background supervision terminal; The lounge partition monitoring module sets several monitoring areas in the high-speed rail lounge, marks the corresponding monitoring area as i, where i is a natural number greater than 1, and monitors the environment of all monitoring areas, collects the environmental information of each monitoring area and sends it to the environmental anomaly capture module; The environment anomaly capture module captures the environment parameters in the monitoring area i that do not meet the corresponding preset data requirements in real time based on the environment information, and sends the environment parameters in the monitoring area i that do not meet the corresponding preset data requirements to the lounge adaptive control module, and the lounge adaptive control module performs environmental adaptability regulation on the corresponding monitoring area i; The regional control and inspection module analyzes the environmental control status of the monitoring area i during the detection period, marks the monitoring area i as an abnormal control area or a good control area through analysis, and sends the marking information of the monitoring area i to the lounge control comprehensive evaluation module and the back-end supervision end; The lounge control comprehensive evaluation module conducts a comprehensive evaluation and analysis of the environmental performance of the high-speed rail lounge during the detection period, generates a lounge control abnormality signal or a lounge control qualified signal through analysis, and sends the lounge control abnormality signal or lounge control qualified signal to the background supervision end; The specific operation process of the regional control and inspection module includes: The total duration that the corresponding environmental parameters in the monitoring area i during the detection period do not meet the corresponding preset data requirements is obtained and marked as the total deviation time value of the environmental parameters, and when it is judged that the corresponding environmental parameters do not meet the corresponding preset data requirements, the data deviation amplitude value is collected, and all the data deviation amplitude values ​​of the corresponding environmental parameters in the monitoring area i during the detection period are averaged to obtain the data deviation value, and the number of occurrences that the single duration that the corresponding environmental parameters in the monitoring area i during the detection period do not meet the corresponding preset data requirements exceeds the corresponding preset single duration threshold is marked as the environmental parameter abnormal frequency detection value; The environmental parameter control inspection value is obtained by numerically calculating the total time value of the environmental parameter deviation, the data deviation value and the environmental parameter abnormal frequency inspection value of the corresponding environmental parameter in the monitoring area i during the detection period, and each group of environmental parameters is set in advance to correspond to a group of preset influencing factors. The product of the environmental parameter control inspection value of the corresponding environmental parameter and the corresponding preset influencing factor is marked as the environmental parameter abnormal value, and the sum of the environmental parameter abnormal values ​​of all environmental parameters in the monitoring area i during the detection period is marked as the regional control inspection value; Assign a preset regional control and inspection threshold value that matches the monitoring area i. If the regional control and inspection value exceeds the corresponding preset regional control and inspection threshold value, the monitoring area i is marked as an abnormally controlled area; if the regional control and inspection value does not exceed the corresponding preset regional control and inspection threshold value, the monitoring area i is marked as a well-controlled area; The specific analysis process of the lounge control comprehensive evaluation module includes: The number of abnormal control areas in the high-speed rail lounge during the detection period is obtained and its ratio to the total number of monitoring areas is marked as the lounge abnormal control value, and the excess value of the regional control inspection value of the corresponding abnormal control area compared with the corresponding preset regional control inspection threshold is marked as the abnormal control excess inspection value, and all abnormal control excess inspection values ​​in the detection period are averaged to obtain the abnormal control performance value, and the abnormal control excess inspection value with the largest value in the detection period is marked as the abnormal control excess amplitude value; The lounge management evaluation value is obtained by numerically calculating the lounge abnormal control value, abnormal control performance value and abnormal control excess value. If the lounge management evaluation value exceeds the preset lounge management evaluation threshold, a lounge control abnormality signal is generated; if the lounge management evaluation value does not exceed the preset lounge management evaluation threshold, a lounge control qualified signal is generated.

2. The high-speed rail lounge environment control system based on online monitoring and analysis according to claim 1 is characterized in that: The specific analysis process of the environmental anomaly capture module is as follows: The carbon dioxide concentration data and oxygen concentration data of the monitoring area i are obtained, and the ratio of the carbon dioxide concentration data to the oxygen concentration data is marked as the carbon-oxygen coefficient; and the temperature data, humidity data, light intensity data and dust concentration data of the monitoring area i are obtained, and the carbon-oxygen coefficient, temperature data, humidity data, light intensity data and dust concentration data of the monitoring area i are compared with the corresponding preset data requirements one by one, thereby capturing the environmental parameters in the monitoring area i that do not meet the corresponding preset data requirements.

3. The high-speed rail lounge environment control system based on online monitoring and analysis according to claim 1 is characterized in that: The specific process of assigning a preset regional control and inspection threshold matching the monitoring area i is as follows: The regional monitoring symbol QP-1 or QP-2 of the monitoring area i is obtained. If the regional monitoring symbol QP-1 is obtained, the preset regional control and detection threshold LR1 is allocated to the monitoring area i; if the regional monitoring symbol QP-2 is obtained, the preset regional control and detection threshold LR2 is allocated to the monitoring area i, and LR2>LR1>0.

4. The high-speed rail lounge environment control system based on online monitoring and analysis according to claim 1 is characterized in that: The regional control and inspection module is communicated with the regional monitoring module. The regional monitoring module monitors all monitoring areas in the high-speed rail lounge through cameras, assigns regional monitoring compliance QP-1 or QP-2 to monitoring area i based on the monitoring video and through analysis, and sends the regional monitoring symbol corresponding to monitoring area i to the regional control and inspection module.

5. The high-speed rail lounge environment control system based on online monitoring and analysis according to claim 4 is characterized in that: The specific analysis process of the regional monitoring module is as follows: Based on the surveillance video, the real-time crowd flow data of the monitoring area i is obtained, and the average of all the real-time crowd flow data during the detection period is calculated to obtain the regional human inspection value. If the regional human inspection value exceeds the preset regional human inspection threshold, the regional monitoring compliance QP-1 is assigned to the monitoring area i; If the regional human inspection value exceeds the preset regional human inspection threshold, the regional human inspection value and the regional overload duration are numerically calculated to obtain the regional monitoring coefficient. If the regional monitoring coefficient exceeds the preset regional monitoring coefficient threshold, the monitoring area i is assigned regional monitoring compliance QP-1; if the regional monitoring coefficient does not exceed the preset regional monitoring coefficient threshold, the monitoring area i is assigned regional monitoring compliance QP-2.

6. The high-speed rail lounge environment control system based on online monitoring and analysis according to claim 1 is characterized in that: The lounge control comprehensive evaluation module is communicated with the on-site management, maintenance and analysis module. The lounge control comprehensive evaluation module sends the lounge control qualified signal to the on-site management, maintenance and analysis module. When the on-site management, maintenance and analysis module receives the lounge control qualified signal, it analyzes the on-site management performance of the high-speed rail lounge during the detection period, generates an on-site management qualified signal or an on-site management abnormal signal through analysis, and sends the on-site management qualified signal or the on-site management abnormal signal to the background supervision end.

7. The high-speed rail lounge environment control system based on online monitoring and analysis according to claim 6 is characterized in that: The specific analysis process of the on-site management and maintenance analysis module is as follows: The on-site management and maintenance value is obtained by numerically calculating the conflict time value, conflict resolution value and noise pipe time value. If the on-site management and maintenance value exceeds the preset on-site management and maintenance threshold, an on-site management abnormality signal is generated; if the on-site management and maintenance value does not exceed the preset on-site management and maintenance threshold, a on-site management qualified signal is generated.

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