A comprehensive monitoring system based on network communication room

Abstract

The present invention belongs to the field of computer room management and control, and relates to data analysis technology, which is used to solve the problem that the existing technology cannot predict and analyze the environmental status through regional historical environmental adjustment parameters. Specifically, it is a comprehensive monitoring system based on a network communication computer room, including a comprehensive monitoring platform, and the comprehensive monitoring platform is communicatively connected with an environmental monitoring module, a deviation analysis module, a monitoring optimization module, an environmental control module and a storage module; the environmental monitoring module is used to perform environmental monitoring and analysis on the network communication computer room; the deviation analysis module is used to analyze the environmental deviation characteristics of the network communication computer room and mark the monitoring area as a conventional analysis area or a predictive analysis area; the present invention can analyze the environmental adjustment situation of each monitoring area within the monitoring period and mark the monitoring area differently, and perform pre-adjustment processing in time when there is an abnormal risk to avoid substantial abnormalities in environmental parameters in the predictive analysis area.

Description

Technical Field

[0001] The invention belongs to the field of computer room management and control, relates to data analysis technology, and specifically is a comprehensive monitoring system based on a network communication computer room. Background Art

[0002] Network communication rooms are the core components of modern communication networks. They undertake the key tasks of data storage, processing and transmission, ensuring the fast and secure transmission of information. Network communication rooms can be divided into various types according to their functions and characteristics to meet the needs of different communication services.

[0003] The invention patent with announcement number CN117420866B discloses an adaptive computer room environment monitoring and adjustment system based on artificial intelligence. The system ensures real-time monitoring of the computer room environment by real-time monitoring of the temperature information and environmental perception status of the computer room, realizes dynamic monitoring of the computer room environmental data, and provides strong data support for the precise regulation of the computer room environment; however, the system can only predict and analyze the environmental status through regional historical environmental adjustment parameters, and thus cannot perform pre-adjustment processing before the environmental parameters become abnormal, so the probability of abnormal environmental parameters cannot be effectively curbed.

[0004] In view of the above technical problems, this application proposes a solution. Summary of the invention

[0005] The purpose of the present invention is to provide a comprehensive monitoring system based on a network communication room, which is used to solve the problem that the prior art cannot predict and analyze the environmental status through regional historical environmental adjustment parameters;

[0006] The technical problem to be solved by the present invention is: how to provide a comprehensive monitoring system based on a network communication room that can predict and analyze environmental conditions through regional historical environmental adjustment parameters.

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

[0008] A comprehensive monitoring system based on a network communication room includes a comprehensive monitoring platform, wherein the comprehensive monitoring platform is communicatively connected with an environment monitoring module, a deviation analysis module, a monitoring optimization module, an environment control module and a storage module;

[0009] The environmental monitoring module is used to perform environmental monitoring and analysis on the network communication room: generate a monitoring cycle, divide the network communication room into a number of monitoring areas, mark the environmental monitoring parameters of the network communication room as parameter k, k=1, 2, ..., m, m is a positive integer, set a number of monitoring points in the monitoring area, obtain the value of the parameter k of the monitoring point in real time during the monitoring cycle and mark it as the monitoring value JCk of the monitoring point, obtain the ring deviation coefficient HP of the monitoring area in real time, and send the ring deviation coefficient HP of the monitoring area to the deviation analysis module in real time; determine whether the parameter k of the monitoring area meets the requirements through the monitoring values ​​JCk of all monitoring points;

[0010] The deviation analysis module is used to analyze the environmental deviation characteristics of the network communication room and mark the monitoring area as a conventional analysis area or a predictive analysis area, perform feature extraction analysis on the predictive analysis area and obtain a predictive feedback value YF;

[0011] The monitoring and optimization module is used to perform optimization monitoring and analysis on the network communication room.

[0012] Furthermore, the process of obtaining the ring deviation coefficient HP of the monitoring area includes: calling the standard range FWk corresponding to the parameter k, and obtaining the ring deviation coefficient HP of the monitoring area in real time: marking the average value of the maximum boundary value and the minimum boundary value of the standard range FWk corresponding to the parameter k as the standard value BZk of the parameter k, marking the absolute value of the difference between the monitoring value JCk of the monitoring point and the standard value BZk as the deviation value PLk of the monitoring point, marking the maximum value of the deviation values ​​PLk of all monitoring points in the monitoring area as the evaluation value PGk of the monitoring area relative to the parameter k, and using the formula The ring deviation coefficient HP of the monitoring area is obtained.

[0013] Furthermore, the specific process of determining whether the parameter k of the monitoring area meets the requirements includes: determining whether the monitoring values ​​JCk of all monitoring points in the monitoring area are all within the standard range FWk: if so, it is determined that the parameter k of the monitoring area meets the requirements; if not, it is determined that the parameter k of the monitoring area does not meet the requirements, and the parameter k that does not meet the requirements is marked as an adjustment parameter, an environmental adjustment signal is generated, and the environmental adjustment signal and the adjustment parameter are sent to the deviation analysis module and the environmental control module through the integrated monitoring platform. After receiving the environmental adjustment signal, the environmental control module controls the corresponding environmental adjustment equipment according to the adjustment parameter to perform environmental adjustment.

[0014] Furthermore, the specific process of marking the monitoring area as a conventional analysis area or a predictive analysis area includes: at the end time of the monitoring period, obtaining the number of times the monitoring area receives the environmental adjustment signal during the monitoring period and marking it as the adjustment value of the monitoring area, obtaining the adjustment threshold through the storage module, and comparing the adjustment value with the adjustment threshold: if the adjustment value is less than the adjustment threshold, it is determined that the monitoring area does not have the predictive feature in the current monitoring period, and the monitoring area is marked as a conventional analysis area; if the adjustment value is greater than or equal to the adjustment threshold, it is determined that the monitoring area has the predictive feature in the current monitoring period, and the corresponding monitoring area is marked as a predictive analysis area.

[0015] Furthermore, the specific process of performing feature extraction and analysis on the prediction and analysis area includes: marking the ring deviation coefficient HP of the prediction and analysis area corresponding to the moment when the environmental adjustment signal is received during the monitoring period as the ring deviation alarm value, forming a prediction and analysis set of the prediction and analysis area by all the ring deviation alarm values ​​corresponding to the prediction and analysis area, performing variance calculation on all elements in the prediction and analysis set to obtain a distribution coefficient, and comparing the distribution coefficient with a preset distribution threshold: if the distribution coefficient is less than the distribution threshold, marking the minimum element in the prediction and analysis set as the prediction and analysis value YC; if the distribution coefficient is greater than or equal to the distribution threshold, eliminating the maximum element and the minimum element in the prediction and analysis set, and performing variance calculation on the prediction and analysis set after elimination to obtain a new distribution coefficient, and so on, until the distribution coefficient is less than the distribution threshold.

[0016] Furthermore, the process of obtaining the predicted feedback value YF includes: obtaining the predicted feedback value YF of the predicted analysis area through the formula YF=c1*YC, where c1 is the proportional coefficient, and the specific value-taking process of c1 includes: the interference period is composed of U1 seconds before and U1 seconds after the moment of receiving the environmental adjustment signal, and all interference periods are eliminated from the monitoring period; the ratio of the duration of the ring deviation coefficient HP of the predicted analysis area in the current monitoring period is less than the predicted analysis value YC to the total duration of the monitoring period after the interference period is eliminated is marked as the evaluation effective value of the predicted analysis area, the evaluation effective threshold is obtained through the storage module, and the evaluation effective value is compared with the evaluation effective threshold: if the evaluation effective value is less than the evaluation effective threshold, it is determined that the prediction effectiveness of the predicted analysis value YC does not meet the requirements, 1.02≤c1≤1.05; if the evaluation effective value is greater than or equal to the evaluation effective threshold, it is determined that the prediction effectiveness of the predicted analysis value YC meets the requirements, c1=1.

[0017] Furthermore, the specific process of the monitoring and optimization module optimizing the monitoring and analysis of the network communication room includes: in the next monitoring cycle, environmental monitoring of the conventional analysis area and the predictive analysis area is performed according to the monitoring values ​​JCk of all monitoring points; at the same time, environmental monitoring of the predictive analysis area is performed according to the real-time monitored ring deviation coefficient HP: when the ring deviation coefficient HP is not less than the predicted feedback value YF of the predictive analysis area, it is determined that there is an environmental abnormality risk in the predictive analysis area, and a pre-adjustment signal is generated and sent to the environmental control module through the integrated monitoring platform. After receiving the pre-adjustment signal, the environmental control module adjusts all environmental parameters in the predictive analysis area.

[0018] The present invention has the following beneficial effects:

[0019] 1. The environmental monitoring module can be used to conduct environmental monitoring and analysis of the network communication room. The environmental parameters of each monitoring area can be monitored in real time by dividing the area into regions. When the environmental parameters are abnormal, timely adjustment feedback can be made. At the same time, the ring deviation coefficient of the monitoring area can be collected in real time to reflect the degree of deviation of the overall environmental parameters of the monitoring area. The ring deviation coefficient when the environmental parameters are abnormal can be recorded to provide data support for the environmental deviation feature analysis process;

[0020] 2. The deviation analysis module can be used to analyze the environmental deviation characteristics of the network communication room, analyze the environmental adjustment status of each monitoring area during the monitoring period and mark the monitoring areas differently. In the subsequent monitoring period, different methods are used to control the environment of the conventional analysis area and the prediction analysis area. After extracting the prediction feedback value of the prediction analysis area, the probability of environmental anomaly in the prediction analysis area is predicted and evaluated according to the prediction feedback value. When there is an abnormal risk, pre-adjustment processing is carried out in time to avoid substantial abnormalities in environmental parameters in the prediction analysis area.

[0021] 3. The monitoring and optimization module can be used to optimize the monitoring and analysis of the network communication room. Targeted methods can be used to control the environment in different monitoring areas in the room. At the same time, the differentiated marking results of the monitoring areas will be updated at the end of each monitoring cycle, so that the environmental control mode can be dynamically matched with the actual environmental status of the monitoring area, avoiding the unchanging control mode affecting the actual effect of environmental prediction and adjustment. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0023] Figure 1 is a system block diagram of Embodiment 1 of the present invention;

[0024] Figure 2 This is a flow chart of performing feature extraction and analysis on the prediction analysis area in the first embodiment of the present invention;

[0025] Figure 3 This is a flow chart of the method of Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0026] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than 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.

[0027] Embodiment 1: Figure 1 As shown, a comprehensive monitoring system based on a network communication room includes a comprehensive monitoring platform, which is communicatively connected to an environmental monitoring module, a deviation analysis module, a monitoring optimization module, an environmental control module and a storage module.

[0028] The environmental monitoring module is used to perform environmental monitoring and analysis on the network communication room: generate a monitoring cycle, divide the network communication room into several monitoring areas, and mark the environmental monitoring parameters of the network communication room as parameter k, k=1, 2, ..., m, m is a positive integer, parameter k is the conventional environmental monitoring parameter of the network communication room, generally including temperature, humidity, etc. The corresponding standard range FWk is set by the management personnel according to the room operation requirements, and the standard range of temperature is generally set to 22 o C-27 o C. The standard range of humidity is generally set to 45%-55%. Several monitoring points are set in the monitoring area. The value of the parameter k of the monitoring point is obtained in real time during the monitoring period and marked as the monitoring value JCk of the monitoring point. The standard range FWk corresponding to the parameter k is called up, and the ring deviation coefficient HP of the monitoring area is obtained in real time: the average value of the maximum boundary value and the minimum boundary value of the standard range FWk corresponding to the parameter k is marked as the standard value BZk of the parameter k, the absolute value of the difference between the monitoring value JCk of the monitoring point and the standard value BZk is marked as the deviation value PLk of the monitoring point, and the maximum value of the deviation values ​​PLk of all monitoring points in the monitoring area is marked as the evaluation value PGk of the monitoring area relative to the parameter k.

[0029] By formula Obtain the ring deviation coefficient HP of the monitoring area; send the ring deviation coefficient HP of the monitoring area to the deviation analysis module in real time; determine whether the monitoring values ​​JCk of all monitoring points in the monitoring area are all within the standard range FWk:

[0030] If so, it is determined that the parameter k of the monitoring area meets the requirements;

[0031] If not, it is determined that the parameter k of the monitoring area does not meet the requirements, and the parameter k that does not meet the requirements is marked as an adjustment parameter, an environmental adjustment signal is generated, and the environmental adjustment signal and the adjustment parameter are sent to the deviation analysis module and the environmental control module through the integrated monitoring platform. After receiving the environmental adjustment signal, the environmental control module controls the corresponding environmental adjustment device according to the adjustment parameter to perform environmental adjustment;

[0032] The environmental parameters of each monitoring area are monitored in real time by dividing the area into regions. When there are abnormalities in the environmental parameters, timely adjustments and feedback are made. At the same time, the ring deviation coefficient of the monitoring area is collected in real time to reflect the degree of deviation of the overall environmental parameters of the monitoring area. The ring deviation coefficient is recorded when there are abnormalities in the environmental parameters to provide data support for the environmental deviation feature analysis process.

[0033] The deviation analysis module is used to analyze the environmental deviation characteristics of the network communication room: at the end of the monitoring period, the number of times the monitoring area receives the environmental adjustment signal during the monitoring period is obtained and marked as the adjustment value of the monitoring area, and the adjustment threshold is obtained through the storage module, and the adjustment value is compared with the adjustment threshold: if the adjustment value is less than the adjustment threshold, it is determined that the monitoring area does not have the predicted characteristics in the current monitoring period, and the monitoring area is marked as a conventional analysis area; if the adjustment value is greater than or equal to the adjustment threshold, it is determined that the monitoring area has the predicted characteristics in the current monitoring period, and the corresponding monitoring area is marked as a predicted analysis area.

[0034] like Figure 2 As shown, feature extraction and analysis are performed on the prediction and analysis area: the ring deviation coefficient HP of the prediction and analysis area corresponding to the moment when the environmental adjustment signal is received during the monitoring period is marked as the ring deviation alarm value, and the prediction and analysis set of the prediction and analysis area is composed of all the ring deviation alarm values ​​corresponding to the prediction and analysis area. The variance of all elements in the prediction and analysis set is calculated to obtain the distribution coefficient, and the distribution coefficient is compared with the preset distribution threshold: if the distribution coefficient is less than the distribution threshold, the minimum element in the prediction and analysis set is marked as the prediction and analysis value YC; if the distribution coefficient is greater than or equal to the distribution threshold, the maximum element and the minimum element in the prediction and analysis set are eliminated, and the variance of the prediction and analysis set after elimination is calculated again to obtain a new distribution coefficient, and so on, until the distribution coefficient is less than the distribution threshold;

[0035] The predicted feedback value YF of the prediction and analysis area is obtained by the formula YF=c1*YC, where c1 is the proportional coefficient. The specific value-taking process of c1 includes: the interference period is composed of U1 seconds before and U1 seconds after the moment of receiving the environmental adjustment signal, and all interference periods are eliminated from the monitoring cycle; the ratio of the duration when the ring deviation coefficient HP of the prediction and analysis area in the current monitoring cycle is less than the predicted analysis value YC to the total duration of the monitoring cycle after the interference period is eliminated is marked as the evaluation effective value of the prediction and analysis area. The evaluation effective threshold is obtained through the storage module, and the evaluation effective value is compared with the evaluation effective threshold: if the evaluation effective value is less than the evaluation effective threshold, it is determined that the prediction effectiveness of the prediction analysis value YC does not meet the requirements, 1.02≤c1≤1.05; if the evaluation effective value is greater than or equal to the evaluation effective threshold, it is determined that the prediction effectiveness of the prediction analysis value YC meets the requirements, c1=1; the environmental adjustment situation of each monitoring area during the monitoring period is analyzed and the monitoring areas are marked differently, and different methods are used in subsequent monitoring periods to perform environmental control on conventional analysis areas and prediction analysis areas, and after extracting the prediction feedback value of the prediction analysis area, the environmental anomaly probability of the prediction analysis area is predicted and evaluated according to the prediction feedback value, and pre-adjustment processing is carried out in time when there is an abnormal risk to avoid substantial abnormalities in environmental parameters in the prediction analysis area.

[0036] The monitoring optimization module is used to optimize the monitoring and analysis of the network communication room: in the next monitoring cycle, the conventional analysis area and the predictive analysis area are monitored according to the monitoring values ​​JCk of all monitoring points; at the same time, the predictive analysis area is monitored according to the real-time monitoring ring deviation coefficient HP: when the ring deviation coefficient HP is not less than the predicted feedback value YF of the predictive analysis area, it is determined that there is an environmental abnormality risk in the predictive analysis area, and a pre-adjustment signal is generated and sent to the environmental control module through the integrated monitoring platform. After receiving the pre-adjustment signal, the environmental control module adjusts all environmental parameters in the predictive analysis area; targeted methods can be adopted for environmental control in different monitoring areas in the room. At the same time, the differentiated marking results of the monitoring areas will be updated at the end of each monitoring cycle, so that the environmental control mode can be dynamically matched with the actual environmental status of the monitoring area, avoiding the unchanging control mode affecting the actual effect of environmental prediction and adjustment.

[0037] Embodiment 2: Figure 3 As shown, a comprehensive monitoring method based on a network communication room includes the following steps:

[0038] Step 1: Conduct environmental monitoring and analysis on the network communication room: Generate a monitoring cycle, divide the network communication room into several monitoring areas, and generate an environmental adjustment signal when the environment is abnormal;

[0039] Step 2: Analyze the environmental deviation characteristics of the network communication room and mark the monitoring area as a regular analysis area or a predictive analysis area;

[0040] Step 3: Perform feature extraction analysis on the prediction analysis area and obtain the prediction feedback value YF;

[0041] Step 4: Use different environmental monitoring methods to conduct environmental monitoring and analysis on the conventional analysis area and the predictive analysis area.

[0042] A comprehensive monitoring system based on a network communication room generates a monitoring cycle when working, divides the network communication room into several monitoring areas, generates an environmental adjustment signal when the environment is abnormal; analyzes the environmental deviation characteristics of the network communication room and marks the monitoring area as a conventional analysis area or a predictive analysis area; performs feature extraction analysis on the predictive analysis area and obtains a predictive feedback value YF; in the next monitoring cycle, performs environmental monitoring on the conventional analysis area and the predictive analysis area according to the monitoring values ​​JCk of all monitoring points; and at the same time, performs environmental monitoring on the predictive analysis area according to the ring deviation coefficient HP monitored in real time.

[0043] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

[0044] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0045] 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 content 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 those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A comprehensive monitoring system based on a network communication room, characterized in that: It includes a comprehensive monitoring platform, which is communicatively connected with an environment monitoring module, a deviation analysis module, a monitoring optimization module, an environment control module and a storage module; The environmental monitoring module is used to perform environmental monitoring and analysis on the network communication room: generate a monitoring cycle, divide the network communication room into a number of monitoring areas, mark the environmental monitoring parameters of the network communication room as parameter k, k=1, 2, ..., m, m is a positive integer, set a number of monitoring points in the monitoring area, obtain the value of the parameter k of the monitoring point in real time during the monitoring cycle and mark it as the monitoring value JCk of the monitoring point, obtain the ring deviation coefficient HP of the monitoring area in real time, and send the ring deviation coefficient HP of the monitoring area to the deviation analysis module in real time; determine whether the parameter k of the monitoring area meets the requirements through the monitoring values ​​JCk of all monitoring points; The deviation analysis module is used to analyze the environmental deviation characteristics of the network communication room and mark the monitoring area as a conventional analysis area or a predictive analysis area, perform feature extraction analysis on the predictive analysis area and obtain a predictive feedback value YF; The monitoring and optimization module is used to optimize monitoring and analysis of the network communication room; The specific process of feature extraction and analysis of the prediction analysis area includes: marking the ring deviation coefficient HP of the prediction analysis area corresponding to the moment when the environmental adjustment signal is received during the monitoring period as the ring deviation alarm value, forming a prediction analysis set of the prediction analysis area by all the ring deviation alarm values ​​corresponding to the prediction analysis area, performing variance calculation on all elements in the prediction analysis set to obtain a distribution coefficient, and comparing the distribution coefficient with a preset distribution threshold: if the distribution coefficient is less than the distribution threshold, marking the minimum element in the prediction analysis set as the prediction analysis value YC; if the distribution coefficient is greater than or equal to the distribution threshold, eliminating the maximum element and the minimum element in the prediction analysis set, performing variance calculation on the prediction analysis set after elimination to obtain a new distribution coefficient, and so on, until the distribution coefficient is less than the distribution threshold; The process of obtaining the predicted feedback value YF includes: obtaining the predicted feedback value YF of the predicted analysis area through the formula YF=c1*YC, wherein c1 is the proportional coefficient, and the specific value-taking process of c1 includes: the interference period is formed by U1 seconds before and after U1 seconds when the environmental adjustment signal is received, and all interference periods are eliminated from the monitoring period; the ratio of the duration of the ring deviation coefficient HP of the predicted analysis area in the current monitoring period being less than the predicted analysis value YC to the total duration of the monitoring period after the interference period is eliminated is marked as the evaluation effective value of the predicted analysis area, the evaluation effective threshold is obtained through the storage module, and the evaluation effective value is compared with the evaluation effective threshold: if the evaluation effective value is less than the evaluation effective threshold, it is determined that the prediction effectiveness of the predicted analysis value YC does not meet the requirements, 1.02≤c1≤1.05; if the evaluation effective value is greater than or equal to the evaluation effective threshold, it is determined that the prediction effectiveness of the predicted analysis value YC meets the requirements, c1=1; The specific process of the monitoring and optimization module optimizing the monitoring and analysis of the network communication room includes: in the next monitoring cycle, the conventional analysis area and the predictive analysis area are monitored according to the monitoring values ​​JCk of all monitoring points; at the same time, the predictive analysis area is monitored according to the ring deviation coefficient HP monitored in real time: when the ring deviation coefficient HP is not less than the predicted feedback value YF of the predictive analysis area, it is determined that there is an environmental abnormality risk in the predictive analysis area, and a pre-adjustment signal is generated and sent to the environmental control module through the integrated monitoring platform. After receiving the pre-adjustment signal, the environmental control module adjusts all environmental parameters in the predictive analysis area.

2. According to claim 1, a comprehensive monitoring system based on a network communication room is characterized in that: The process of obtaining the ring deviation coefficient HP of the monitoring area includes: calling the standard range FWk corresponding to the parameter k, and obtaining the ring deviation coefficient HP of the monitoring area in real time: marking the average value of the maximum boundary value and the minimum boundary value of the standard range FWk corresponding to the parameter k as the standard value BZk of the parameter k, marking the absolute value of the difference between the monitoring value JCk of the monitoring point and the standard value BZk as the deviation value PLk of the monitoring point, marking the maximum value of the deviation values ​​PLk of all monitoring points in the monitoring area as the evaluation value PGk of the monitoring area relative to the parameter k, and using the formula The ring deviation coefficient HP of the monitoring area is obtained.

3. A comprehensive monitoring system based on a network communication room according to claim 2, characterized in that: The specific process of determining whether the parameter k of the monitoring area meets the requirements includes: determining whether the monitoring values ​​JCk of all monitoring points in the monitoring area are all within the standard range FWk: if so, it is determined that the parameter k of the monitoring area meets the requirements; if not, it is determined that the parameter k of the monitoring area does not meet the requirements, and the parameter k that does not meet the requirements is marked as an adjustment parameter, an environmental adjustment signal is generated, and the environmental adjustment signal and the adjustment parameter are sent to the deviation analysis module and the environmental control module through the integrated monitoring platform. After receiving the environmental adjustment signal, the environmental control module controls the corresponding environmental adjustment equipment according to the adjustment parameter to perform environmental adjustment.

4. A comprehensive monitoring system based on a network communication room according to claim 3, characterized in that: The specific process of marking a monitoring area as a conventional analysis area or a predictive analysis area includes: at the end of the monitoring period, obtaining the number of times the monitoring area receives the environmental adjustment signal during the monitoring period and marking it as the adjustment value of the monitoring area, obtaining the adjustment threshold through the storage module, and comparing the adjustment value with the adjustment threshold: if the adjustment value is less than the adjustment threshold, it is determined that the monitoring area does not have the predictive feature in the current monitoring period, and the monitoring area is marked as a conventional analysis area; if the adjustment value is greater than or equal to the adjustment threshold, it is determined that the monitoring area has the predictive feature in the current monitoring period, and the corresponding monitoring area is marked as a predictive analysis area.

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