CN106533842B - Partner type network supervision method and supervision equipment capable of being analyzed independently - Google Patents
Partner type network supervision method and supervision equipment capable of being analyzed independently Download PDFInfo
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- CN106533842B CN106533842B CN201611187235.1A CN201611187235A CN106533842B CN 106533842 B CN106533842 B CN 106533842B CN 201611187235 A CN201611187235 A CN 201611187235A CN 106533842 B CN106533842 B CN 106533842B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/04—Network management architectures or arrangements
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0677—Localisation of faults
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/04—Processing captured monitoring data, e.g. for logfile generation
Abstract
The invention discloses a network supervision method capable of performing individual independent analysis by mate, which comprises the following steps: the managed object and the supervision equipment adopt one-to-one monitoring; the monitoring equipment monitors the power supply on-off state of the managed object, the working current, the network data transmission rate between the managed object and the working network, the working state of the working network and the destination IP address of the information sent by the managed object; setting the running state of a managed object as a super active period, an active period, a normal working period, a sleep period and a fault period; performing cluster analysis on the network data transmission rate of the managed object, and calibrating the network transmission rates of the super active period, the active period and the normal working period; judging the supervision state; information exchange processing; the system can realize the supervision of the implementation of the network equipment under the condition of not changing the existing hardware and software of the network equipment, can implement individual independent analysis supervision, and can intelligently and automatically manage the network equipment.
Description
Technical Field
The invention relates to the technical field of information, in particular to a supervision and fault automatic diagnosis technology of network equipment, in particular to a partner type network supervision method and supervision equipment capable of being independently analyzed.
Background
The traditional network equipment comprises a server, a network switch, a network router, a desktop computer, a notebook computer, various network terminals and the like; currently, more and more new network devices, especially internet of things devices, are appearing in our lives, such as electric meters, water meters, network cameras, temperature and humidity detectors, breath quality detectors, smoke alarm probes, health smart bracelets, network refrigerators, network television set-top boxes, and network devices of various industries, etc.; they all have the following technical problems to be improved and solved:
(A) Some network devices do not have facilities and mechanisms with embedded device management capabilities, and an external network management device which is independent of the network device and is special for device management needs to be adopted, so that the management level of the network device is improved under the condition that the existing hardware and software of the network device are not changed.
(B) Current network devices are distributed in increasingly wide geographic areas, even in very remote areas, or buried underground; the supervision of these network devices, in particular the improvement of fault diagnosis decision capability and rapid maintenance service support capability, is the goal of continuous efforts for network device supervision.
(C) In a general network device management method, a network management server is set up in a data center, and the network device continuously transmits own supervision information to the network management server of the data center through a network. On the one hand, when the network management server of the data center finds that the information of one network device cannot be received, it cannot be determined whether the network device has failed or the network device related environment has failed. For example, it may be that the power supply of the network device has failed, or that the network transmission device or the network line has failed.
(D) The individual behavior of network devices is more and more different, and even the same class of devices may behave quite differently. For example, a network camera in a critical location has too little sleep time and is used too frequently as compared to a network camera in a non-critical location. The existing network management service software has low intelligence and insufficient automation degree, and particularly cannot deeply analyze the individual behaviors of each network device, and still depends on manually setting the individual behaviors of a single network device, so that the false alarm rate is high and the skill level requirement of a manager is too high.
(E) The existing Internet of things equipment in the network equipment has low safety protection capability, and is used as source equipment for attacking data centers and websites more and more frequently by people; it is therefore of great importance how to monitor its anomalies and prevent it from making malicious aggressions as a source device.
Disclosure of Invention
The invention aims at solving the problems and provides a partner type network supervision method capable of independently analyzing, which can supervise any managed network equipment whether the managed network equipment has a network management function or not, can implement individual independent analysis supervision under the condition of not changing the existing hardware and software of the managed network equipment, and greatly improves the management level of the network equipment.
In order to achieve the above purpose, the invention adopts the following technical scheme: a network supervision method capable of being analyzed independently by a partner comprises the following steps:
1) The monitoring mode is set: each managed object is monitored by adopting a monitoring device; each supervision device is connected to a supervision master server through a supervision network;
2) Monitoring object setting: monitoring the power supply on-off state, the working current of the managed object and the network data transmission rate between the managed object and a working network by using monitoring equipment, and counting the destination IP address of the information sent by the managed object by using the working state of the working network;
3) And (3) calibrating the running state: setting the running state of a managed object as a super active period, an active period, a normal working period, a sleep period and a fault period; when external power supply is normal, the working network runs normally, and the managed object works normally, cluster analysis is carried out on the network data transmission rate of the managed object, and the network transmission rates of the super active period, the active period and the normal working period are calibrated;
4) And (3) supervision state judgment:
the fault period judging condition is that the operation state of the working network is normal, and the network transmission rate of the managed object is zero during the period that the managed object should work;
the sleep period judging condition is that the external power supply of the managed object is normal, and the network transmission rate of the managed object is zero during the period that the managed object should not work;
the judging conditions of the super active period, the active period and the normal working period are as follows: calculating the distance between the network transmission rate of the managed object and the target network transmission rate of each class by adopting a clustering distance function;
5) Information exchange processing: transmitting the running state report of the managed object to a supervision master server through a supervision network by using supervision equipment; the supervision equipment receives the instruction sent by the supervision master server and controls the running state of the managed object.
Further, a central processor is arranged in the supervision equipment, and the central processor comprises the following modules:
a power supply behavior determination rule base (123) for determining the power supply on-off state of the managed object;
a failure network behavior determination rule base (122) for determining that the managed object has failed and that the network behavior is abnormal;
a period position information base (121) for determining a working period and position information;
a behavior determination and processing module (105) for receiving information from the power supply behavior determination rule base (123), the fault network behavior determination rule base (122), the time period position information base (121) and transmitting a supervision report to the supervision network;
the output power supply instruction module (131) is used for receiving the power supply control instruction sent by the behavior judging and processing module (105) and controlling the power supply on-off state of the managed object;
a network behavior cluster analysis and rule generation module (106) for analyzing network transmission rate of the managed object, operating network operation state information, and transmitting the information to a failure network behavior decision rule base (122);
the power supply behavior rule generating module (108) is used for analyzing the power supply on-off state and the working current of the managed object and sending an analysis result to the power supply behavior judging rule base (123);
and the information issuing processing module (102) is used for receiving the supervision instruction, the supervision rule, the working period information and the position information sent by the supervision master server through the supervision network, and sending the information to the power supply behavior judging rule base (123), the fault network behavior judging rule base (122), the period position information base (121) and the output power supply instruction module (131).
Further, in the operation state calibration, setting the operation state of the managed object further comprises a suspicious fault period; the suspicious fault period distinguishing condition is that the external power supply has fault, the transmission rate of the working network is zero, the managed object is in the super active period, and the destination IP address for receiving the information of the managed object is obviously abnormal.
It is another object of the present invention to provide a companion type individually analyzable network policing device that includes a managed object connected to an operating host server through a working network; each managed object is independently connected with a supervision device; each supervision device is connected with a supervision master server through a supervision network;
a central processing unit is arranged in the supervision equipment;
the central processing unit is connected with the power supply connection converter; the power supply connection converter is connected with an external power supply;
the output end of the central processing unit is connected with the control on-off end of the controllable power supply switch; one end of the controllable power supply switch is connected with the power supply connection converter, and the other end of the controllable power supply switch is connected with the managed object through the power supply connector;
the central processing unit is connected with a working network through a network data acquisition interface adapter; the central processing unit is connected with the supervision master server through a supervision network;
the working network is two independent networks separated from the supervisory network.
Further, the central processing unit is connected with a standby rechargeable battery through an external power supply and outage monitoring switching circuit; and the standby rechargeable battery is connected with the power supply connection converter.
Furthermore, the central processing unit is connected with an EEPROM memory, a FLASH memory, keys, a clock, an indicator light and a hardware safety device.
Further, the working network is an ethernet.
Further, the central processing unit is connected with a supervision network through a supervision network adapter; the supervision network adapter is a GPRS module or a WIFI transceiver chip.
Further, the network data acquisition interface adapter is an ethernet hub or a WIFI bridge router chip.
The invention has the beneficial effects that:
a. the method can monitor and manage any managed network equipment whether the managed network equipment has a network management function or not, and under the condition that the existing hardware and software of the managed network equipment are not changed, the management level of the network equipment is greatly improved.
b. Whether the network equipment is in fault, external power supply of the network equipment is in fault, or a network top element or a network line is in fault can be judged in real time.
c. By comprehensively monitoring the individual behaviors of each network device and automatically analyzing the individual behavior rules of each network device, the false alarm rate of network device faults is greatly reduced.
d. By automatically analyzing the individual behavior rules of each network device, the management of the network device is truly realized.
e. The independent supervision network is arranged, so that the impact of the conventional network management method on the bandwidth of the application network is greatly reduced.
f. The malicious attack by utilizing the Internet of things equipment can be monitored and controlled.
Drawings
FIG. 1 is a schematic diagram of a supervision method according to the present invention.
Fig. 2 is a software workflow diagram in accordance with the present invention.
Fig. 3 is a training state workflow diagram.
Fig. 4 is a supervisory state workflow diagram.
Fig. 5 is a schematic diagram of a hardware structure of the present invention.
Fig. 6 is a hardware implementation diagram of an embodiment.
Fig. 7 is a diagram of a hardware implementation of the second embodiment.
Fig. 8 is a diagram of a third hardware implementation of the embodiment.
Detailed Description
In order that those skilled in the art may better understand the technical solutions of the present invention, the following detailed description of the present invention with reference to the accompanying drawings is provided for exemplary and explanatory purposes only and should not be construed as limiting the scope of the present invention.
In the invention, an external mode is adopted for any one of the monitored network devices, and one of the monitored network devices for managing the network device is deployed, namely a "monitoring partner MF (Monitoring Fere)", and the monitored network device is called a "managed object MO (Monitored Object)".
As shown in fig. 1-4, a method for supervising a network by which chaperones can be analyzed independently of each other, comprising the steps of:
1) The monitoring mode is set: each managed object is monitored by adopting a monitoring device; each supervision device is connected to a supervision master server through a supervision network;
2) Monitoring object setting: monitoring the power supply on-off state, the working current of the managed object and the network data transmission rate between the managed object and a working network by using monitoring equipment, and counting the destination IP address of the information sent by the managed object by using the working state of the working network;
3) And (3) calibrating the running state: setting the running state of a managed object as a super active period, an active period, a normal working period, a sleep period and a fault period; when external power supply is normal, the working network runs normally, and the managed object works normally, cluster analysis is carried out on the network data transmission rate of the managed object, and the network transmission rates of the super active period, the active period and the normal working period are calibrated;
4) And (3) supervision state judgment:
the fault period judging condition is that the operation state of the working network is normal, and the network transmission rate of the managed object is zero during the period that the managed object should work;
the sleep period judging condition is that the external power supply of the managed object is normal, and the network transmission rate of the managed object is zero during the period that the managed object should not work;
the judging conditions of the super active period, the active period and the normal working period are as follows: calculating the distance between the network transmission rate of the managed object and the target network transmission rate of each class by adopting a clustering distance function;
5) Information exchange processing: transmitting the running state report of the managed object to a supervision master server through a supervision network by using supervision equipment; the supervision equipment receives the instruction sent by the supervision master server and controls the running state of the managed object.
Preferably, a central processing unit is arranged in the supervision device, and the central processing unit comprises the following modules:
a power supply behavior determination rule base 123 for determining the power supply on-off state of the managed object;
a failure network behavior determination rule base 122 for determining that the managed object fails and that the network behavior is abnormal;
a period position information base 121 for determining a working period and position information;
a behavior determination and processing module 105 for receiving information from the power supply behavior determination rule base 123, the faulty network behavior determination rule base 122, the period location information base 121 and transmitting a supervision report to the supervision network;
an output power supply command module 131 for receiving the power supply control command sent by the behavior determination and processing module 105 and controlling the power supply on-off state of the managed object;
a network behavior cluster analysis and rule generation module 106 for analyzing network transmission rate, operating network operational status information of the managed object and transmitting the information to a faulty network behavior decision rule base 122;
the power supply behavior rule generating module 108 is used for analyzing the power supply on-off state and the working current of the managed object and sending the analysis result to the power supply behavior judging rule base 123;
the information issuing processing module 102 is configured to receive a supervision instruction, a supervision rule, working period information and position information sent by a supervision master server through a supervision network, and send the information to the power supply behavior determination rule base 123, the fault network behavior determination rule base 122, the period position information base 121 and the output power supply instruction module 131.
Preferably, in the operation state calibration, setting the operation state of the managed object further comprises a suspicious fault period; the suspicious fault period distinguishing condition is that the external power supply has fault, the transmission rate of the working network is zero, the managed object is in the super active period, and the destination IP address for receiving the information of the managed object is obviously abnormal.
The key points of automatic behavior analysis in the supervision method are as follows:
mf mainly monitors the external power switch state, the working small current state (the managed object is in sleep period), the external power switch state, the working small current state network transmission rate of the managed object, normal or abnormal operation state of the application network, destination IP address of the information of the received managed object, and the like.
b. From the network behavior of the managed object, the period in which the managed object is located can be divided into five types of super active period, normal working period, sleep period and failure period. The managed object can only be in any life time of the five periods of super active period, normal working period, sleep period and failure period. The judging condition of the managed object in the fault period is that when the application network works normally, the network transmission rate of the managed object is zero during the period that the managed object should work; a condition for judging that the managed object is in sleep period is that external power supply is normal, and the network transmission rate of the managed object is zero during the period that the managed object should not work. The main difference between the super active period and the managed objects in the active period and the normal working period is that the network transmission rate is obviously different.
c. For network behavior analysis of the managed object, MF is mainly performed in a training state, and when judging that the managed object does not belong to a sleep period or a fault period, cluster analysis is performed on the network transmission rate of the managed object to obtain the target network transmission rates of a super active period, an active period and a normal working period.
d. The condition for judging that the managed object is in the suspicious fault state is that the managed object is in an external power fault or the network transmission rate of the managed object is zero, or the managed object is in a super active period, or the destination IP address for receiving the information of the managed object is obviously abnormal.
A managed object is in a stage active period, an active period and a normal working period, a clustering distance function is adopted, and the distance between the network transmission rate and the marker post network transmission rate of each type is calculated to judge.
As shown in fig. 5, the specific structure of the supervision device in the present invention is: a managed object including a connection to a worker host server through a worker network; each managed object is independently connected with a supervision device; each supervision device is connected with a supervision master server through a supervision network;
a central processing unit is arranged in the supervision equipment;
the central processing unit is connected with the power supply connection converter; the power supply connection converter is connected with an external power supply;
the output end of the central processing unit is connected with the control on-off end of the controllable power supply switch; one end of the controllable power supply switch is connected with the power supply connection converter, and the other end of the controllable power supply switch is connected with the managed object through the power supply connector;
the central processing unit is connected with a working network through a network data acquisition interface adapter; the central processing unit is connected with the supervision master server through a supervision network;
the working network is two independent networks separated from the supervisory network.
Preferably, the central processing unit is connected with the standby rechargeable battery through an external power supply and outage monitoring switching circuit; and the standby rechargeable battery is connected with the power supply connection converter.
Preferably, the central processing unit is connected with an EEPROM memory, a FLASH memory, a key, a clock, an indicator light and a hardware safety device.
Preferably, the working network is an ethernet network.
Preferably, the central processing unit is connected with a supervision network through a supervision network adapter; the supervision network adapter is a GPRS module or a WIFI transceiver chip.
Preferably, the network data acquisition interface adapter is an ethernet hub or a WIFI bridge router chip.
As shown in fig. 6-8, a hardware implementation diagram of the first embodiment, a hardware implementation diagram of the second embodiment, and a hardware implementation diagram of the third embodiment represent hardware implementation block diagrams of three ways of implementing the supervision mate.
A hardware implementation diagram presents that the supervision network adapter of the supervision partner is a GPRS component (commercially available GPRS components on the market can be purchased), so that the supervision network is a wireless GPRS/GSM data network; and meanwhile, the supervision mate is connected with the application network in an Ethernet adapter mode. The supervision mate of the hardware implementation diagram is connected with the managed object by adopting a network hub mode, and the supervision mate can monitor each data packet of the managed object.
The difference between the hardware implementation diagram of the second embodiment and the hardware implementation diagram of the first embodiment is that the supervision mate is connected with the application network and the managed object in a wireless WiFi bridging mode. In the second embodiment of the hardware implementation diagram, the managed object is first connected to the supervision mate, then the supervision mate is connected to a wireless WiFi router, and the supervision mate can monitor whether the wireless WiFi router works normally or not, and can collect communication data between the managed object and the wireless WiFi router.
The difference between the hardware implementation diagram of the third embodiment and the hardware implementation diagram of the first embodiment is that the supervision mate is connected with the supervision network in a wireless WiFi adapter mode. The supervising mate is first connected to the supervising platform via a wireless WiFi network.
The supervision mate is an embedded system and comprises a central processing unit, a FLASH memory, an EEPROM memory, keys, a clock, an indicator light, an external power interface, a rechargeable battery and a local hardware safety device.
The central processor typically performs software operations and stores software.
EEPROM memory stores software and commonly used read-only data (e.g., configuration parameters).
FLASH memory stores dynamic data.
Indicator lights generally indicate power and operating status.
The key may typically be provided with a hard start reset key. The external power interface may be a circuit for converting ac to dc, or may be a step-up or step-down circuit when dc is supplied (e.g., POE supply).
The standby rechargeable battery provides power supply to the supervising mate when the external power supply fails. The local hardware safety device provides a unique identification number of the supervision partner, a communication key between the first time and the supervision platform, and the like.
Each monitoring partner is connected in parallel with the managed object with an external power supply.
Each supervision mate can collect all communication data of the managed object plug in the application network.
Each supervising partner has a supervising network adapter connected to the supervising network.
The supervision network adapter of the supervision mate can be one of a plurality of network modes such as GPRS, LTE, WCDMA, wiFi, a power carrier network and the like.
The application network adapter of the regulatory partner is to be consistent with the application network type of the managed object.
The software workflow diagram, the training state flow diagram and the supervision state flow present the main software workflow of the supervision mate.
The invention has the following functions:
mf can monitor whether the power supply of the MO is providing power supply;
the MF can monitor the data packet of the MO and can detect whether the top network element of the MO can answer the communication request;
MF typically uses the same external power supply in parallel with MO, but the MF embeds a backup rechargeable battery that can normally support the power supply of MF when external power supply is interrupted;
mf may communicate with MO using standard SNMP-like protocols (optional functions);
e, the MF is provided with another special network port and is connected with the MF network management platform through a network system different from the MO;
the MF at least has a training state, a supervision state, a sleep state, a manual control state and the like;
the MF has a software online upgrading function;
the MF is a network device, and can be managed by adopting a traditional network management method and a management software system.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
The principles and embodiments of the present invention have been described herein with reference to specific examples, the description of which is intended only to facilitate an understanding of the method of the present invention and its core ideas. The foregoing is merely illustrative of the preferred embodiments of this invention, and it is noted that there is objectively no limit to the specific structure disclosed herein, since numerous modifications, adaptations and variations can be made by those skilled in the art without departing from the principles of the invention, and the above-described features can be combined in any suitable manner; such modifications, variations and combinations, or the direct application of the inventive concepts and aspects to other applications without modification, are contemplated as falling within the scope of the present invention.
Claims (9)
1. The network supervision method capable of being analyzed independently by a partner is characterized by comprising the following steps of:
1) The monitoring mode is set: each managed object is monitored by adopting a monitoring device; each supervision device is connected to a supervision master server through a supervision network;
2) Monitoring object setting: monitoring the power supply on-off state, the working current of the managed object and the network data transmission rate between the managed object and a working network by using monitoring equipment, and counting the destination IP address of the information sent by the managed object by using the working state of the working network;
3) And (3) calibrating the running state: setting the running state of a managed object as a super active period, an active period, a normal working period, a sleep period and a fault period; when external power supply is normal, the working network runs normally, and the managed object works normally, cluster analysis is carried out on the network data transmission rate of the managed object, and the network transmission rates of the super active period, the active period and the normal working period are calibrated;
4) And (3) supervision state judgment:
the fault period judging condition is that the operation state of the working network is normal, and the network transmission rate of the managed object is zero during the period that the managed object should work;
the sleep period judging condition is that the external power supply of the managed object is normal, and the network transmission rate of the managed object is zero during the period that the managed object should not work;
the judging conditions of the super active period, the active period and the normal working period are as follows: calculating the distance between the network transmission rate of the managed object and the target network transmission rate of each class by adopting a clustering distance function;
5) Information exchange processing: transmitting the running state report of the managed object to a supervision master server through a supervision network by using supervision equipment; the supervision equipment receives the instruction sent by the supervision master server and controls the running state of the managed object.
2. The network supervision method capable of being analyzed independently by a partner according to claim 1, wherein a central processing unit is arranged in the supervision device, and the central processing unit comprises the following modules:
a power supply behavior determination rule base (123) for determining the power supply on-off state of the managed object;
a failure network behavior determination rule base (122) for determining that the managed object has failed and that the network behavior is abnormal;
a period position information base (121) for determining a working period and position information;
a behavior determination and processing module (105) for receiving information from the power supply behavior determination rule base (123), the fault network behavior determination rule base (122), the time period position information base (121) and transmitting a supervision report to the supervision network;
the output power supply instruction module (131) is used for receiving the power supply control instruction sent by the behavior judging and processing module (105) and controlling the power supply on-off state of the managed object;
a network behavior cluster analysis and rule generation module (106) for analyzing network transmission rate of the managed object, operating network operation state information, and transmitting the information to a failure network behavior decision rule base (122);
the power supply behavior rule generating module (108) is used for analyzing the power supply on-off state and the working current of the managed object and sending an analysis result to the power supply behavior judging rule base (123);
and the information issuing processing module (102) is used for receiving the supervision instruction, the supervision rule, the working period information and the position information sent by the supervision master server through the supervision network, and sending the information to the power supply behavior judging rule base (123), the fault network behavior judging rule base (122), the period position information base (121) and the output power supply instruction module (131).
3. The network supervision method capable of being analyzed independently by a partner according to claim 1, wherein in the operation state calibration, setting the operation state of the managed object further includes suspicious fault periods; the suspicious fault period distinguishing condition is that the external power supply has fault, the transmission rate of the working network is zero, the managed object is in the super active period, and the destination IP address for receiving the information of the managed object is obviously abnormal.
4. A supervision device employing a chaperone type individually analyzable network supervision method as defined in any one of claims 1 to 3, comprising managed objects connected to an operating host server through a working network; the method is characterized in that each managed object is independently connected with a supervision device; each supervision device is connected with a supervision master server through a supervision network;
a central processing unit is arranged in the supervision equipment;
the central processing unit is connected with the power supply connection converter; the power supply connection converter is connected with an external power supply;
the output end of the central processing unit is connected with the control on-off end of the controllable power supply switch; one end of the controllable power supply switch is connected with the power supply connection converter, and the other end of the controllable power supply switch is connected with the managed object through the power supply connector;
the central processing unit is connected with a working network through a network data acquisition interface adapter; the central processing unit is connected with the supervision master server through a supervision network;
the working network is two independent networks separated from the supervisory network.
5. The companion type individual independent analysis network supervision device according to claim 4, wherein the central processing unit is connected with the standby rechargeable battery through an external power supply and outage monitoring switching circuit; and the standby rechargeable battery is connected with the power supply connection converter.
6. The companion type individual independent analysis network supervision device according to claim 4, wherein the central processing unit is connected with an EEPROM memory, a FLASH memory, a key, a clock, an indicator light, and a hardware security device.
7. The companion, individual, analysis-capable, network monitoring device of claim 4 wherein the working network is ethernet.
8. The companion type individual individually analyzable network monitoring device of claim 4 wherein the central processor is connected to a monitoring network through a monitoring network adapter; the supervision network adapter is a GPRS module or a WIFI transceiver chip.
9. The companion type individual individually analyzable network monitoring device of claim 4, wherein the network data acquisition interface adapter is an ethernet hub or a WIFI bridge routing chip.
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