CN109240126B - A distributed application service monitoring system and method with simulation operation function - Google Patents

Abstract

The invention discloses a distributed application service monitoring system with a simulated operation function and a method thereof, wherein the distributed application service monitoring system comprises a monitoring object searching module, a monitoring host deployment unit, a data acquisition unit, a data converter, a data processing analysis host, a data abnormality judging module, a data sorting analysis graphic report module, a data abnormality storage module, a data backup cloud and an alarm system; the simulation function setting module is used for setting the monitoring function module in the monitoring object searching module; the monitoring object searching module performs timing monitoring according to the monitoring system set in the simulation function setting module; the data sorting analysis graph report module can conduct graph display and report display on abnormal data detected in the monitoring system, and is convenient for workers to check and manage. The alarm module comprises a buzzer, an alarm lamp, a telephone pre-alarm and a short message pre-alarm, and is convenient for staff to know the abnormal condition accurately at the first time through the setting of various alarm devices.

Description

A distributed application service monitoring system and method with simulation operation function

Technical field

The present invention relates to the technical field of application service function monitoring, specifically a distributed application service monitoring system and method with a simulated operation function.

Background technique

First-level application service systems deployed on large metropolitan area networks or the Internet are becoming more and more common. For example, the 95598 customer service system of power grid enterprises. After receiving emergency tasks such as power outages, fault repairs, and service applications, the 95598 customer service specialists will Create a task work order in the application service system and dispatch the task work order to the faulty local 95598 customer service workstation in the system. The customer service specialist of the local 95598 customer service workstation will receive the order and dispatch it to the task processing personnel. This task processing mechanism corresponds to very high requirements for the reliability and dependence of the service system. In order to effectively monitor the application of the system, the computer room managers or information system operation and maintenance personnel are notified as soon as possible after the failure occurs to carry out troubleshooting and ensure For the system to operate safely and stably, it is necessary to apply a monitoring system with simulated operations to carry out simulated access to the system, discover system application service failures and solve problems before the customer service specialist uses the system, and avoid affecting the customer's emergency electricity business due to the inability to dispatch work orders in time. situation occurs.

Currently, commonly used computer room and application monitoring systems have certain limitations, mainly including the following two aspects. First, common monitoring systems can only monitor the power environment of the computer room. They lack mode login monitoring of the application system and cannot monitor the application system in a timely manner. It is found that the application system cannot be accessed, and the cause of the fault cannot be quickly located, which brings great difficulties to troubleshooting. Second, there is a lack of monitoring platform that integrates the host and distributed terminals. Common monitoring systems can only realize host monitoring. Synchronous monitoring of the server and remote workstations cannot be realized, resulting in the inability to quickly locate the fault location and content by combining multiple monitoring data during troubleshooting, which has certain limitations in use.

Contents of the invention

In view of the shortcomings of the existing technology, the purpose of the present invention is to provide a distributed application service monitoring system and method with the function of simulating manual operation, which mainly adopts the mode of synchronous monitoring of the host and distributed clients. The monitoring content includes dynamic environment Data, whether the simulated login access is passed, the time when the simulated login access is successful, simulated query, network performance, etc., well solves the difficult problems raised in the background technology.

Technical solution of the present invention:

A distributed application service monitoring system with simulated operation function, including a monitoring host, a simulated operation host, a monitoring terminal, a data analysis host, an alarm system and a data backup cloud.

The simulation operation host is connected to the monitoring host to set data indicators that need to be simulated and monitored to the monitoring host;

The monitoring terminals adopt distributed settings. All distributed monitoring terminals are connected to the monitoring host and transmit the collected data to the monitoring host. The monitoring terminals and the monitoring host use dual channels of wired network and wireless private network to access the application service system. .

The data analysis host is connected to the monitoring host, and the monitoring host sends the received data collected by the monitoring terminal to the data analysis host for analysis;

The alarm system is connected to the data analysis host. The alarm system is used to alarm the data analysis host when the data is abnormal. The data backup cloud is connected to the data analysis host to store the data collected by the monitoring terminal and the abnormalities analyzed by the data analysis host. Data is stored in the cloud. Data communication between the monitoring terminal and the data analysis host is completed through the monitoring host.

The simulation operation host includes a simulation function setting module, the monitoring host includes a monitoring object search module and a monitoring deployment unit, the monitoring terminal includes a data collector and a data converter, and the data analysis host includes a data anomaly judgment module. , data sorting and analysis graphical report module and abnormal data storage module. The simulation function setting module is used to set the monitoring data indicators in the monitoring object search module; the monitoring object search module performs search and monitoring according to the monitoring standard value set in the simulation function setting module; the monitoring object search module will The searched data values are input into the monitoring deployment unit for deployment of the monitoring terminal; the data collector is used to collect the data monitored by the monitoring terminal, the collected data is input into the data converter for conversion, and the converted data is input The data is analyzed in the data processing and analysis host, and the analyzed data values are input into the data anomaly judgment module for abnormality judgment; after the data anomaly judgment module combines the monitoring data to judge an abnormality, it is input all the way to the data sorting and analysis graphical report module. Process graphics and reports. One channel of data is transmitted to the abnormal data storage module through the network for storage, and the other channel of data is input into the alarm system through the wireless transmission module. After receiving the abnormal data, the abnormal data storage module completes the data backup in the data backup cloud through the wireless network.

The alarm system includes a data receiving module, a microcontroller and an alarm module; the data receiving module is used to receive data such as dynamic ring data, whether the simulated login access is passed, the time when the simulated login access is successful, simulated query, network performance, etc., after receiving The data values are transferred to the microcontroller, which controls the operation of the alarm module.

The alarm module includes a buzzer, an alarm light, a telephone alarm and an SMS alarm, and the buzzer, alarm light, telephone alarm and SMS alarm are all connected to the microcontroller.

A distributed application service monitoring method with simulated operation function, including the following specific steps:

S1. Deploy equipment and communicate with the monitoring host, simulation operation host, monitoring terminal, data analysis host, alarm system and data backup cloud;

S2. Customize the monitoring indicators through the simulation function setting module of the simulation operation host. The monitoring indicators include dynamic environment data, simulated login, simulated access, network performance, etc.;

S3. Obtain monitoring data through the monitoring terminal, complete data collection through the data collector, and complete data conversion through the data converter;

S4. Transmit the converted monitoring data to the data analysis host, and the data analysis host analyzes the acquired monitoring data;

S5. The data analysis host analyzes the monitoring terminal and monitoring host data for comprehensive analysis. If there are dynamic loop abnormalities, network failure, network timeout, abnormal application server performance, etc., an alarm command will be sent to the alarm system.

S6. After receiving the alarm command, the alarm system sends alarm information to the administrator through various methods (buzzer, alarm light, phone call, SMS), etc.;

S7. After the abnormal information is generated, the data is simultaneously transferred to the data sorting and analysis graphic report module for statistical analysis and chart display is completed;

S8. After the abnormal information is generated, the data is stored in the abnormal data storage module at the same time, and the data backup is completed in the data backup cloud.

In the step S2, the specific steps for simulating login and access in the simulation function setting module are:

a. Send page login/access request through Libcurl technology;

b. Obtain the login/access request FromData parameters through the Fiddler tool;

c. Analyze encryption rules and analyze the key points of system login and access;

d. Obtain verification information for successful login/access to ensure normal login and access to the system;

e. Carry out encoding processing and solidify the verification information to the simulation operating host.

In step S3, the specific steps of the simulated login access operation are as follows:

1). The monitoring terminal sends login/access requests regularly to simulate manual access to the system operation;

2). The monitoring terminal receives the data returned by the login/access request;

3). Parse the data to determine whether there is a request success flag;

4). If the monitoring terminal successfully logs in/accesses the business application system in step 3), the login/access time-consuming data will be returned;

5). If the monitoring terminal fails to successfully log in/access the business application system in step 3), a login/access failure signal will be returned to the system.

In step S4, the judgment logic of the data abnormality judgment module is as follows:

(1). Obtain monitoring data from monitoring terminal N, including data from multiple monitoring terminals;

(2). First, determine whether the dynamic loop parameters exceed the threshold. If so, the dynamic loop is abnormal;

(3). Secondly, determine whether the network connection between the monitoring terminal N and the application service system under inspection is interrupted. If so, the monitoring terminal N network and the server network are not connected. The failure of all monitoring terminals is a server network problem. The network failure of some monitoring terminals is a monitoring problem. End network issues.

(4). Again, determine whether the network connection between the monitoring terminal N and the checked application service system exceeds the threshold. If so, the connection between the monitoring terminal N network and the server network has timed out. The timeout of all monitoring terminals is the server network timeout, and some monitoring terminals have timed out. The network timeout for the monitoring end;

(5). Finally, determine whether the simulated login and access of the monitoring terminal N is abnormal. If so, the application server performance is abnormal. When none of the above situations occur, all monitoring indicators are normal.

Compared with the existing technology, the beneficial effects of the present invention are: the present invention provides a distributed application service monitoring system with a simulated operation function. It has the following beneficial effects:

(1) Automatically determine the network connection status, network connection speed and channel performance of the distributed monitoring terminal and server; (2) Determine whether the application system is normal by simulating the access program; (3) Automatically determine the access speed of the application system and monitor it in real time ; (4) Determine whether the application system can be accessed normally; (5) Determine whether the monitoring terminal and the local power environment (power supply, environment, switch) are operating normally.

This distributed application service monitoring system with simulation operation function is equipped with data collation and analysis graphics and report modules in the monitoring system. The data collation and analysis graphics and report modules can analyze the abnormal data monitored in the monitoring system and process the graphics and reports. It is convenient for staff to view and manage. The alarm module includes a buzzer, alarm light, telephone warning device and SMS warning device. Through the setting of various alarm devices, it is convenient for staff to accurately understand monitoring abnormal situations at the first time; through The setting of the simulation function setting module facilitates the staff to customize the monitoring indicators and the management of the monitoring equipment. It is highly practical and easy to promote and use.

Description of drawings

Figure 1 is a system block diagram of the present invention;

Figure 2 is a system working block diagram of the present invention;

Figure 3 is a block diagram of the working principle of the alarm system of the present invention;

Figure 4 is a working principle diagram of the simulated login access of the present invention;

Figure 5 is a flow chart of the simulated login access operation of the present invention;

Figure 6 is a block diagram of the working principle of the data anomaly judgment module of the present invention.

Detailed ways

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

Please refer to Figure 1. The present invention provides a technical solution:

A distributed application service monitoring system with simulated operation function, including a monitoring host 100, a simulated operation host 200, a monitoring terminal 300, a data analysis host 400, a data backup cloud 500 and an alarm system 600.

The simulation operation host 200 is connected to the monitoring host 100, and is used to set the login page and access page parameters that need to be simulated and monitored to the monitoring host 100. ;

The monitoring terminal 300 adopts a distributed setting, including multiple monitoring terminals, and uses dual channels of wired network and wireless network for data communication. All distributed monitoring terminals 300 are connected to the monitoring host 100 and collect the collected data. Transmit to monitoring host 100;

The data analysis host 400 is connected to the monitoring host 100. The monitoring host 100 first sends the received data collected by the monitoring terminal 300 to the monitoring host, and then the monitoring host sends it to the data analysis host 400 for analysis;

The alarm system 600 and the data backup cloud 500 are connected to the data analysis host. The alarm system 500 is used to alarm the data analysis host 400 when the data is abnormal. The data backup cloud 500 is also connected to the monitoring host 100 and the data analysis host 400. , used to cloud-store the data collected by the monitoring terminal 300 and the abnormal data analyzed by the data analysis host 400 . Data communication is completed between the monitoring terminal 300 and the data analysis host 400 through the monitoring host 100 channel.

The simulation operation host 200 includes a simulation function setting module 1. The monitoring host 100 includes a monitoring object search module 2 and a monitoring deployment unit 3. The monitoring terminal 300 includes a data collector 4 and a data converter 5. The data analysis host 400 includes a data anomaly judgment module 66 , a data sorting and analysis graphical report module 7 and an anomaly data storage module 8 . The simulation function setting module 1 is used to set monitoring data indicators in the monitoring object search module 2; the monitoring object search module 2 performs search and monitoring according to the monitoring standard value set in the simulation function setting module 1; the monitoring The object search module 2 inputs the searched data values into the monitoring deployment unit 3 to deploy the monitoring terminal 300; the data collector 4 is used to collect the data monitored by the monitoring terminal 300, and the collected data is input into the data Conversion is performed in the converter 5, the converted data is input to the data processing and analysis host 400 for data analysis, and the analyzed data values are input to the data anomaly judgment module 6 for abnormality judgment; the data anomaly judgment module 6 passes the data according to the judgment value. It is input to the alarm system 600 through the wireless transmission module 6, and the other input is input to the data sorting and analysis graphic report module 8 for graphic and report processing. After the data anomaly judgment module 6 determines an abnormality based on monitoring data, it is input into the data sorting and analysis graphic report module 7 for graphics and report processing. One channel of data is transmitted to the abnormal data storage module 8 through the network for storage, and one channel of data is input into the alarm system 600 through the wireless transmission module. After receiving the abnormal data, the abnormal data storage module 6 completes the data backup in the data backup cloud 500 through the wireless network. .

The data converted by the data converter 5 is transmitted to the data backup cloud 500 via the mobile data network for data backup.

The alarm system 600 includes a data receiving module 601, a single chip microcomputer 602 and an alarm module 603; the data receiving module 601 is used to detect the data transmitted by the data anomaly judgment module 6: dynamic ring data, whether the simulated login access is passed, and the time when the simulated login access is successful. , simulation query, network performance and other data are received. The received data values will be transmitted to the microcontroller 602, and the microcontroller controls the operation of the alarm module 603.

The alarm module 603 includes a buzzer 604, an alarm light 605, a phone warning 606 and a text message warning 607. The buzzer 604, warning light 605, phone warning 606 and text message warning 607 are all connected to the microcontroller. A distributed application service monitoring method with simulated operation function, including the following specific steps:

S1. Deploy equipment and communicate with the monitoring host 100, simulation operation host 200, monitoring terminal 300, data analysis host 400, data backup cloud 500 and alarm system 600;

S2. Customize the monitoring indicators through the simulation function setting module 1 of the simulation operation host 200, where the monitoring indicators include dynamic environment data, simulated login, simulated access, network performance, etc.;

S3. Obtain monitoring data through the monitoring terminal 300, complete data collection through the data collector 4, and complete data conversion through the data converter 5;

S4. Transmit the converted monitoring data to the data analysis host 400, and the data analysis host 400 analyzes the obtained monitoring data parameters to determine whether the monitoring host simulates login anomalies;

S5. The data analysis host 400 analyzes the monitoring terminal and monitoring host data for comprehensive analysis. If there are dynamic loop abnormalities, network failure, network timeout, abnormal application server performance, etc., it will issue instructions to the alarm system 600.

S6. After receiving the alarm command, the alarm system 600 sends alarm information to the administrator through various methods (buzzer, alarm light, phone call, SMS) and other methods.

S7. After the abnormal information is generated, the data is simultaneously transmitted to the data sorting and analysis graphic report module 7 for statistical analysis and complete chart display.

S8. After the abnormal information is generated, the data is stored in the abnormal data storage module 8 at the same time, and the abnormal data backup is completed in the data backup cloud 600;

In step S2, the flow chart of simulated login and query request access in the simulation function setting module is detailed in Figure 4. The specific steps are as follows:

a. Send page login/access request through Libcurl technology;

b. Obtain the login/access request FromData parameters through the Fiddler tool;

c. Analyze encryption rules and analyze the key points of system login and access;

d. Obtain verification information for successful login/access to ensure normal login and access to the system;

e. Carry out encoding processing and solidify the verification information to the simulation operating host.

In step S3, the simulated login access operation flow chart is shown in Figure 5. The specific steps are as follows:

1). The monitoring terminal sends login/access requests regularly to simulate manual access to the system operation;

2). The monitoring terminal receives the data returned by the login/access request;

3). Parse the data to determine whether there is a request success flag;

4). If the monitoring terminal successfully logs in/accesses the business application system in step c, the login/access time-consuming data will be returned;

5). If the monitoring terminal fails to successfully log in/access the business application system in step c, a login/access failure signal will be returned to the system.

In step S4, the judgment logic of the data anomaly judgment module is shown in Figure 6. The specific steps are as follows:

(1). Obtain monitoring data from monitoring terminal N, including data from multiple monitoring terminals;

(2). First, determine whether the dynamic loop parameters exceed the threshold. If so, the dynamic loop is abnormal;

(3). Secondly, determine whether the network connection between the monitoring terminal N and the application service system under inspection is interrupted. If so, the monitoring terminal N network and the server network are not connected. The failure of all monitoring terminals is a server network problem. The network failure of some monitoring terminals is a monitoring problem. End network issues.

(4). Again, determine whether the network connection between the monitoring terminal N and the checked application service system exceeds the threshold. If so, the connection between the monitoring terminal N network and the server network has timed out. The timeout of all monitoring terminals is the server network timeout, and some monitoring terminals have timed out. The network timeout is for the monitoring end.

(5). Finally, determine whether the simulated login and access of the monitoring terminal N is abnormal. If so, the application server performance is abnormal. When none of the above situations occur, all monitoring indicators are normal.

Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art will understand that various changes, modifications, and substitutions can be made to these embodiments without departing from the principles and spirit of the invention. and modifications, the scope of the invention is defined by the appended claims and their equivalents.

Claims (8)

1. A distributed application service monitoring method with a simulated operation function is characterized in that: the method comprises the following specific steps:

s1, equipment is deployed, and a monitoring host (100), a simulation operation host (200), a monitoring terminal (300), a data analysis host (400), a data backup cloud (500) and an alarm system (600) are in communication connection;

s2, performing self-defined setting on monitoring indexes through a simulation function setting module (1) of a simulation operation host (200), wherein the monitoring indexes comprise dynamic ring data, simulation login, simulation access and network performance;

s3, acquiring monitoring data through a monitoring terminal (300), completing data acquisition through a data acquisition unit (4), and completing data conversion through a data converter (5);

s4, transmitting the converted monitoring data to a data analysis host (400), and analyzing the acquired monitoring data parameters by the data analysis host (400) to judge whether the monitoring host simulates abnormal login;

s5, the data analysis host (400) analyzes the data of the monitoring terminal and the monitoring host to carry out comprehensive analysis, and if the conditions of abnormal moving ring, network failure, network timeout and abnormal performance of the application server occur, an instruction is sent to the alarm system (600);

s6, after receiving an alarm instruction, the alarm system (600) sends alarm information to an administrator in one or more modes of a buzzer, an alarm lamp, a telephone and a short message;

s7, after the abnormal information is generated, the data are transmitted to a data sorting analysis graph report module (7) for statistical analysis at the same time, and graph display is completed;

s8, after the abnormal information is generated, the data is stored in the abnormal data storage module (8) at the same time, and meanwhile, the abnormal data backup is completed in the data backup cloud (500);

in the step S3, the specific steps of the simulated login access operation flow are as follows:

1) The monitoring terminal sends a login/access request at regular time to simulate the operation of a manual access system;

2) The monitoring terminal receives the data returned by the login/access request;

3) Analyzing the data to judge whether a request success mark exists;

4) If the monitoring terminal successfully logs in/accesses the service application system in the step 3), returning time-consuming login/access data;

5) If the monitoring terminal in the step 3) fails to log in/access the service application system, a log-in/access failure signal is returned to the system;

in the step S4, the judging logic of the data abnormality judging module specifically includes the following steps:

(1) Acquiring monitoring data of a monitoring terminal N, wherein the monitoring data comprise data of a plurality of monitoring terminals;

(2) Firstly, judging whether the moving ring parameter exceeds a threshold value, and if so, judging that the moving ring is abnormal;

(3) Secondly, judging whether the network connection between the monitoring terminal N and the checked application service system is interrupted, if so, the network of the monitoring terminal N is not communicated with the network of the server, all the monitoring terminals are not communicated with the network of the server, and part of the network of the monitoring terminals are not communicated with the network of the monitoring terminal;

(4) Thirdly, judging whether the network connection of the monitoring terminal N and the checked application service system exceeds a threshold value, if so, judging that the network connection of the monitoring terminal N and the server network is overtime, wherein all the overtime of the monitoring terminal is the network overtime of the server, and part of the overtime of the monitoring terminal is the network overtime of the monitoring terminal;

(5) And finally, judging whether the monitoring terminal N simulates login and access is abnormal, if so, judging that the performance of the application server is abnormal, and when the dynamic ring parameter exceeds a threshold value, the network connection between the monitoring terminal N and the checked application service system is interrupted, the network connection between the monitoring terminal N and the checked application service system is over-threshold value, and the monitoring terminal N simulates login or access is abnormal, wherein all monitoring indexes are normal.

2. A distributed application service monitoring method with analog operation function as claimed in claim 1, wherein: in the step S2, the specific steps of the simulation login and query request access in the simulation function setting module are as follows: a. sending a page login/access request through Libcurl technology; b. acquiring a login/access request from data parameter through a Fiddler tool; c. analyzing encryption rules, and analyzing key points of system login and access; d. acquiring verification information of successful login/access, and ensuring normal login and access of the system; e. and (3) performing coding processing, and solidifying the verification information to the simulation operation host.

3. A distributed application service monitoring system with analog operation function for implementing the method of claim 1, wherein: the monitoring system comprises a monitoring host (100), a simulation operation host (200), a monitoring terminal (300), a data analysis host (400), a data backup cloud (500) and an alarm system (600), wherein the simulation operation host (200) is connected with the monitoring host (100) and is used for setting data indexes to be simulated and monitored for the monitoring host (100); the monitoring terminals (300) are arranged in a distributed mode, all the monitoring terminals (300) arranged in the distributed mode are connected with the monitoring host (100) and transmit collected data to the monitoring host (100), and the monitoring terminals (300) and the monitoring host (100) access an application service system through a wired network and a wireless private network; the data analysis host (400) is connected to the monitoring host (100), and the monitoring host (100) sends the received data acquired by the monitoring terminal (300) to the data analysis host (400) for analysis; the alarm system (600) is connected with the data analysis host (400), and the alarm system (600) is used for alarming when the data analysis host (400) is abnormal in data; the data backup cloud (500) is connected with the data analysis host (400) and is used for carrying out cloud storage on data acquired by the monitoring terminal (300) and abnormal data analyzed by the data analysis host (400); the monitoring terminal (300) and the data analysis host (400) complete data communication by taking the monitoring host (100) as a bridge;

the simulation operation host (200) comprises a simulation function setting module (1), the monitoring host (100) comprises a monitoring object searching module (2) and a monitoring deployment unit (3), the monitoring terminal (300) comprises a data collector (4) and a data converter (5), the data analysis host (400) comprises a data abnormality judging module (6), a data arrangement analysis graphic report module (7) and an abnormal data storage module (8), and the simulation function setting module (1) is used for setting monitoring data indexes in the monitoring object searching module (2); the monitoring object searching module (2) searches and monitors according to the monitoring standard value set in the simulation function setting module (1); the monitoring object searching module (2) inputs the searched data value into the monitoring deployment unit (3) to deploy the monitoring terminal (300); the data acquisition device (4) is used for acquiring data monitored by the monitoring terminal (300), the acquired data is input into the data converter (5) for conversion, the converted data is input into the data analysis host (400) for data analysis, the converted data is used as a bridge by the monitoring host (100) for completing data transmission, and the analyzed data value is input into the data abnormality judgment module (6) for abnormality judgment; after the data abnormality judging module (6) judges that abnormality occurs by combining the monitoring data, one path of data is input into the data arrangement analysis graph report module (7) for graph and report processing, one path of data is transmitted to the abnormal data storage module (8) for storage through a network, one path of data is input into the alarm system (600) through the wireless transmission module, and the abnormal data storage module (8) completes data backup at the data backup cloud (500) through the wireless network after receiving the abnormal data.

4. A distributed application service monitoring system with analog operation functionality according to claim 3, wherein: and the data converted by the data converter (5) are transmitted to a data backup cloud (500) for data backup through a mobile data network and a wired double channel.

5. A distributed application service monitoring system with analog operation functionality according to claim 3, wherein: the data backup cloud (500) is a wireless public network or a wireless private network.

6. A distributed application service monitoring system with analog operation functionality according to claim 3, wherein: alarm data sent by the abnormal data storage module (8) are alarmed through the alarm system (600).

7. A distributed application service monitoring system with analog operation functionality according to claim 3, wherein: the alarm system (600) comprises a signal receiver (601), a singlechip (602) and an alarm module (603); the signal receiver (601) is used for receiving the abnormal data value in the data abnormality judging module (6), the received data value is transmitted to the singlechip (602), and the singlechip (602) controls the alarm module (603) to operate.

8. A distributed application service monitoring system with analog operation function as claimed in claim 7, wherein: the alarm module (603) comprises a buzzer (604), an alarm lamp (605), a telephone precaution device (606) and a short message precaution device (607), and the input ends of the buzzer (604), the alarm lamp (605), the telephone precaution device (606) and the short message precaution device (607) are electrically connected with the output end of the singlechip (602).