阅读说明：本技术 基于物联网感兴趣区域的安全监控装置 (Safety monitoring device based on area of interest of Internet of things ) 是由 李育生 于 2021-08-25 设计创作，主要内容包括：本发明涉及一种基于物联网感兴趣区域的安全监控装置,该系统若干信息节点,所述信息节点用以接收或发送网络信息；第一监控模块,用以监控信息节点的实时状态；第二监控模块,用以监控信息节点间的传输链路的实时传输状态；设置模块,用以在各信息节点和传输链路建立的物联网之间设置感兴趣区域,确定感兴趣区域的面积；控制模块,用以根据所述第一监控模块和第二监控模块监控到的信息节点的实时状态和实时传输状态调整感兴趣区域的面积；通过对感兴趣区域的安全监测,提高感兴趣区域的安全监管,提高感兴趣区域的安全程度,以及根据感兴趣区域的变化,对改变的区域进行安全排查,实现及时排除安全隐患,提高物联网的安全性。(The invention relates to a safety monitoring device based on an interesting region of the Internet of things, which comprises a plurality of information nodes, a plurality of monitoring units and a plurality of monitoring units, wherein the information nodes are used for receiving or sending network information; the first monitoring module is used for monitoring the real-time state of the information node; the second monitoring module is used for monitoring the real-time transmission state of the transmission link between the information nodes; the setting module is used for setting an interested area between the Internet of things established by each information node and the transmission link and determining the area of the interested area; the control module is used for adjusting the area of the region of interest according to the real-time state and the real-time transmission state of the information node monitored by the first monitoring module and the second monitoring module; through the safety monitoring of the region of interest, the safety supervision of the region of interest is improved, the safety degree of the region of interest is improved, the changed region is subjected to safety investigation according to the change of the region of interest, the potential safety hazard is timely eliminated, and the safety of the Internet of things is improved.)

1. The utility model provides a safety monitoring device based on thing networking region of interest which characterized in that includes:

the information nodes are used for receiving or sending network information;

the first monitoring module is used for monitoring the real-time state of the information node;

the second monitoring module is used for monitoring the real-time transmission state of the transmission link between the information nodes;

the setting module is used for setting an interested area between the Internet of things established by each information node and the transmission link and determining the area of the interested area;

the control module is respectively connected with the first monitoring module, the second monitoring module and the setting module; the area of the region of interest is adjusted according to the real-time state and the real-time transmission state of the information node monitored by the first monitoring module and the second monitoring module;

a standard region-of-interest area S0 is arranged in the setting module, and the number of information nodes in the standard region-of-interest is N0;

when network information is transmitted between the information nodes, if the real-time state monitored by the first monitoring module and the transmission state monitored by the second monitoring module are both normal, determining the area of the region of interest as a standard region of interest area S0;

if the real-time state monitored by the first monitoring module is abnormal or the transmission state monitored by the second monitoring module is abnormal, reducing the area of the region of interest by adopting a first coefficient k1 so as to enable the safety value in the region of interest to meet the requirement;

if the real-time state monitored by the first monitoring module is abnormal and the transmission state monitored by the second monitoring module is abnormal, reducing the area of the region of interest by adopting a second coefficient k2 so that the safety value in the region of interest meets the requirement, wherein 1> k2> k1>0, and k1+ k2= 1;

if the real-time status monitored by the first monitoring module is not abnormal and the transmission status monitored by the second monitoring module is not abnormal, the area of the region of interest is enlarged by using a second coefficient k 2.

2. The safety monitoring device based on the IOT region of interest according to claim 1, wherein the real-time status abnormality monitored by the first monitoring module comprises:

if the information node is a water meter, setting a pressure sensor in the water meter to acquire real-time pressure data;

transmitting the real-time pressure data to a control module through a transmission link;

the control module is internally provided with a first water pressure parameter P1 and a second water pressure parameter P2, the control module compares the detected real-time pressure data P with the first water pressure parameter P1 and the second water pressure parameter P2,

when P is not more than P1, the control module judges that the water pressure value is too low, the water pressure in the water meter is abnormal at a single point, the range of the water pressure value of the control module is abnormal, and the real-time state of the first monitoring module is abnormal at a first level;

when P is more than P1 and less than or equal to P2, the control module judges that the water pressure value range is normal, and the real-time state of the first monitoring module is normal;

when P is larger than P2, the control module judges that the water pressure value is too high, and the real-time state of the first monitoring module is subjected to primary abnormity.

3. The Internet of things-based safety monitoring device for regions of interest according to claim 2, wherein when the range of the water pressure value P is normal and the range of the water pressure value P 'is normal at the next time of monitoring the water pressure value P', the control module calculates an absolute value rP1 of the difference between the water pressure value P and the water pressure value P ', rP1= | -P' |, an absolute value parameter rPz of the water pressure difference is further provided in the control module, the control module compares the calculated absolute value rP1 with the absolute value parameter rPz of the water pressure difference,

when rP1 is not more than rPz, the control module judges that the change values of the water pressure value P and the water pressure value P' are within a reasonable range, and the real-time state of the first monitoring module is normal;

when rP1 is larger than rPz, the control module judges that the change values of the water pressure value P and the water pressure value P' are not in a reasonable range, and the control module determines that the real-time state of the first monitoring module belongs to secondary abnormity.

4. The safety monitoring device based on the IOT (Internet of things) region of interest as claimed in claim 3, wherein a water pressure change function Pb = f (tz) within a single inspection period t is further provided in the control module, wherein tz represents any moment within the single inspection period t, and Pb represents a water pressure value within a water meter at the moment tz;

the pressure sensor monitors all water pressure values in a single check period t1 and transmits all the monitored values to the storage module, and the control module analyzes all the water pressure values in a single check period t1 to obtain a water pressure change function P1b = f (t1z), wherein t1z represents any time in a single check period t1, and P1b represents the water pressure value in the water meter at the time of t1 z;

the control module compares the function P1b = f (t1z) to the hydraulic pressure variation function Pb = f (tz), and determines that the real-time status of the first monitoring module belongs to a three-level anomaly when a value deviating from the expected hydraulic pressure variation function Pb = f (tz) appears in the function P1b = f (t1 z).

5. The safety monitoring device based on the area of interest of the internet of things according to claim 1, wherein the information node is an electricity meter, a refrigerator, an air conditioner, an automobile and/or a range hood.

6. The Internet of things area of interest-based security monitoring device according to claim 4, wherein if the real-time status monitored by the first monitoring module is abnormal or the transmission status monitored by the second monitoring module is abnormal, the reducing the area of interest by using the first coefficient k1 comprises:

if the real-time state of the first monitoring module belongs to the first-level abnormity, reducing the first coefficient to 0.9 xk 1 when the area of the region of interest is reduced by adopting the first coefficient;

if the real-time state of the first monitoring module belongs to the second-level abnormity, reducing the first coefficient to 0.5 xk 1 when the area of the region of interest is reduced by adopting the first coefficient;

if the real-time state of the first monitoring module belongs to three-level abnormity, the first coefficient is reduced to 0.1 xk 1 when the area of the region of interest is reduced by the first coefficient.

7. The Internet of things area of interest-based security monitoring device of claim 6, wherein the area of interest is reduced by a first coefficient k1 to k1 x S0.

8. The Internet of things area of interest-based security monitoring device of claim 7, wherein the area of interest is reduced by a second coefficient k2 to k2 x S0.

9. The Internet of things area of interest-based security monitoring device of claim 8, wherein the area of interest is enlarged by a second coefficient k2 to be S0 x (1 + k 2).

Technical Field

The invention relates to the technical field of network security, in particular to a security monitoring device based on an interested area of the Internet of things.

Background

The internet of things is a network of all pieces of equipment as the name suggests, so that network connection is established among all pieces of equipment, communication can be carried out among the pieces of equipment, and then the intelligent internet of things is realized. Network security issues exist as long as there is a network interconnection scenario. Network security issues directly affect the reliability of use and the quality of the user's experience.

However, with the establishment of the interconnection of everything, the potential safety hazards along with the establishment also spread over each object device, and in the practical application process, each object device is an independent individual, but after the connection is performed by using the network, each independent individual is in the internet of things, if one component device fails, the operation of the whole internet of things is affected, and the operation efficiency of the internet of things is reduced.

In addition, if a physical attack exists on one object device and a virus is implanted into the object device, other object devices in the network may also be attacked due to the existence of the virus, so that data information in each object device is affected by the virus existing in the network in the transmission process, information cannot be transmitted or is distorted, and the operation efficiency of the intelligent internet of things is affected.

Disclosure of Invention

Therefore, the invention provides a safety monitoring device based on the interesting region of the Internet of things, which can solve the problem of low operation efficiency of the intelligent Internet of things.

In order to achieve the above object, the present invention provides a security monitoring device based on an interested area of the internet of things, including:

the information nodes are used for receiving or sending network information;

the first monitoring module is used for monitoring the real-time state of the information node;

the second monitoring module is used for monitoring the real-time transmission state of the transmission link between the information nodes;

the setting module is used for setting an interested area between the Internet of things established by each information node and the transmission link and determining the area of the interested area;

the control module is respectively connected with the first monitoring module, the second monitoring module and the setting module; the area of the region of interest is adjusted according to the real-time state and the real-time transmission state of the information node monitored by the first monitoring module and the second monitoring module;

a standard region-of-interest area S0 is arranged in the setting module, and the number of information nodes in the standard region-of-interest is N0;

when network information is transmitted between the information nodes, if the real-time state monitored by the first monitoring module and the transmission state monitored by the second monitoring module are both normal, determining the area of the region of interest as a standard region of interest area S0;

if the real-time state monitored by the first monitoring module is abnormal or the transmission state monitored by the second monitoring module is abnormal, reducing the area of the region of interest by adopting a first coefficient k1 so as to enable the safety value in the region of interest to meet the requirement;

if the real-time state monitored by the first monitoring module is abnormal and the transmission state monitored by the second monitoring module is abnormal, reducing the area of the region of interest by adopting a second coefficient k2 so that the safety value in the region of interest meets the requirement, wherein 1> k2> k1>0, and k1+ k2= 1;

if the real-time status monitored by the first monitoring module is not abnormal and the transmission status monitored by the second monitoring module is not abnormal, the area of the region of interest is enlarged by using a second coefficient k 2.

Further, the real-time status abnormality monitored by the first monitoring module includes:

if the information node is a water meter, setting a pressure sensor in the water meter to acquire real-time pressure data;

transmitting the real-time pressure data to a control module through a transmission link;

the control module is internally provided with a first water pressure parameter P1 and a second water pressure parameter P2, the control module compares the detected real-time pressure data P with the first water pressure parameter P1 and the second water pressure parameter P2,

when P is not more than P1, the control module judges that the water pressure value is too low, the water pressure in the water meter is abnormal at a single point, the range of the water pressure value of the control module is abnormal, and the real-time state of the first monitoring module is abnormal at a first level;

when P is more than P1 and less than or equal to P2, the control module judges that the water pressure value range is normal, and the real-time state of the first monitoring module is normal;

when P is larger than P2, the control module judges that the water pressure value is too high, and the real-time state of the first monitoring module is subjected to primary abnormity.

Further, when the range of the water pressure value P is normal and the range of the monitored water pressure value P ' at the next time of the water pressure value P is normal, the control module calculates an absolute value rP1 of the difference between the water pressure value P and the water pressure value P ', rP1= | -P ' |, an absolute value parameter rPz of the water pressure difference is further provided in the control module, the control module compares the calculated absolute value rP1 of the difference with the absolute value parameter rPz of the water pressure difference,

when rP1 is not more than rPz, the control module judges that the change values of the water pressure value P and the water pressure value P' are within a reasonable range, and the real-time state of the first monitoring module is normal;

when rP1 is larger than rPz, the control module judges that the change values of the water pressure value P and the water pressure value P' are not in a reasonable range, and the control module determines that the real-time state of the first monitoring module belongs to secondary abnormity.

Furthermore, a water pressure change function Pb = f (tz) in a single checking period t is also arranged in the control module, wherein tz represents any time in the single checking period t, and Pb represents the water pressure value in the water meter at the time of tz;

the pressure sensor monitors all water pressure values in a single check period t1 and transmits all the monitored values to the storage module, and the control module analyzes all the water pressure values in a single check period t1 to obtain a water pressure change function P1b = f (t1z), wherein t1z represents any moment in a single check period t1, and P1b represents the water pressure value in the water meter at the moment of t1 z;

the control module compares the function P1b = f (t1z) to the hydraulic pressure variation function Pb = f (tz), and determines that the real-time status of the first monitoring module belongs to a three-level anomaly when a value deviating from the expected hydraulic pressure variation function Pb = f (tz) appears in the function P1b = f (t1 z).

Further, the information node is an ammeter, a refrigerator, an air conditioner, an automobile or a range hood.

Further, if the real-time status monitored by the first monitoring module is abnormal or the transmission status monitored by the second monitoring module is abnormal, the reducing the area of the region of interest by using the first coefficient k1 includes:

if the real-time state of the first monitoring module belongs to the first-level abnormity, reducing the first coefficient to 0.9 xk 1 when the area of the region of interest is reduced by adopting the first coefficient;

if the real-time state of the first monitoring module belongs to the second-level abnormity, reducing the first coefficient to 0.5 xk 1 when the area of the region of interest is reduced by adopting the first coefficient;

if the real-time state of the first monitoring module belongs to three-level abnormity, the first coefficient is reduced to 0.1 xk 1 when the area of the region of interest is reduced by the first coefficient.

Further, the area of the region of interest is reduced by a first coefficient k1 to be k1 × S0.

Further, the area of the region of interest is reduced by a second coefficient k2 to be k2 × S0.

Further, the area of the region of interest is enlarged by a second coefficient k2 to be S0 × (1 + k 2).

Compared with the prior art, the method has the advantages that the abnormal grade of the current information node is determined according to the detection data of the information node, the adjustment of the region of interest is realized, the safety factor in the region of interest always belongs to the safety range, the monitoring requirement is met, the safety monitoring of the region of interest is realized, the safety supervision of the region of interest is improved, the safety degree of the region of interest is improved, the changed region is subjected to safety investigation according to the change of the region of interest, the potential safety hazard is eliminated in time, and the safety of the internet of things is improved.

Particularly, whether the information node operates normally is judged by monitoring the parameter information, so that the safety of the information node is evaluated, data generated by the information node is evaluated, the brought danger is determined, the area of the region of interest is adjusted, the safety performance of the Internet of things formed by the information node and the transmission link is stable, the safety judgment accuracy is improved, and real-time adjustment is facilitated according to the safety level.

Particularly, when the absolute value parameter rPz is set to judge that the range of the water pressure value P is normal and the range of the monitored water pressure value P 'at the next moment of the water pressure value P is normal, the control module calculates the absolute value rP1 of the difference value between the water pressure value P and the water pressure value P', further determines the change difference of the water pressure value between adjacent moments, if the change is rapid, the change indicates that the real-time state is abnormal, the change is a second-level abnormality with a greater depth, the adjustment strength of the interested region is accurately judged through the determination of the second-level abnormality judgment, the adjustment accuracy of the interested region is improved, and further the safety factor of the interested region is further improved.

In particular, the abnormal state of the first monitoring module is further judged by determining the water pressure change function in the water meter, and then the coefficient for adjusting the region of interest is determined, so that the determination of the area of the region of interest is more accurate, and the safety of the region of interest is ensured.

Particularly, the step adjustment of the first coefficient is realized according to different abnormal levels, so that the determination of the area of the region of interest is more accurate, and the accuracy of the determination of the area of the region of interest and the safety of the region of interest are improved.

In particular, the area of the region of interest is adjusted according to the real-time state of the first monitoring module and the transmission state of the second monitoring module, and the influence of the state of the first monitoring module and the transmission state of the second monitoring module on the region of interest is additive, so that the influence of the first monitoring module on the region of interest is positively correlated, particularly the positively correlated influence can be a multiple influence and can also be a exponential influence.

In particular, the area of the region of interest is enlarged or reduced under different conditions by adopting a first coefficient, and if the real-time state monitored by the first monitoring module is abnormal and the transmission state monitored by the second monitoring module is abnormal, the area of the region of interest is reduced by adopting a second coefficient k2, so that the safety value in the region of interest meets the requirement, 1> k2> k1>0, and k1+ k2= 1; if the real-time state monitored by the first monitoring module is not abnormal and the transmission state monitored by the second monitoring module is not abnormal, the area of the region of interest is enlarged by adopting a second coefficient k2, so that the area of the region of interest is judged more accurately, and the safety value of the region of interest is improved.

In particular, the real-time state of the transmission link determined by the second monitoring module can be measured according to the transmission efficiency of the transmission link established between the nodes, so that the transmission security and the like of the transmission link are graded, and the security of the transmission link is superposed on the adjustment of the area of the region of interest according to the corresponding grade, so that the region of interest determined based on the first monitoring module and the second monitoring module is more accurate, and the security value of the region of interest is improved.

Drawings

Fig. 1 is a schematic structural diagram of a security monitoring device based on an internet of things region of interest according to an embodiment of the present invention.

Detailed Description

In order that the objects and advantages of the invention will be more clearly understood, the invention is further described below with reference to examples; it should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only for explaining the technical principle of the present invention, and do not limit the scope of the present invention.

Furthermore, it should be noted that, in the description of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.

Referring to fig. 1, a security monitoring apparatus based on an internet of things interesting area according to an embodiment of the present invention includes:

a plurality of information nodes 10 for receiving or transmitting network information;

a first monitoring module 20 for monitoring the real-time status of the information node;

a second monitoring module 30, configured to monitor a real-time transmission status of a transmission link between information nodes;

the setting module 40 is used for setting an interested area between the internet of things established by each information node and the transmission link and determining the area of the interested area;

the control module 50 is respectively connected with the first monitoring module, the second monitoring module and the setting module; the area of the region of interest is adjusted according to the real-time state and the real-time transmission state of the information node monitored by the first monitoring module and the second monitoring module;

a standard region-of-interest area S0 is arranged in the setting module, and the number of information nodes in the standard region-of-interest is N0;

when network information is transmitted between the information nodes, if the real-time state monitored by the first monitoring module and the transmission state monitored by the second monitoring module are both normal, determining the area of the region of interest as a standard region of interest area S0;

if the real-time state monitored by the first monitoring module is abnormal or the transmission state monitored by the second monitoring module is abnormal, reducing the area of the region of interest by adopting a first coefficient k1 so as to enable the safety value in the region of interest to meet the requirement;

if the real-time state monitored by the first monitoring module is abnormal and the transmission state monitored by the second monitoring module is abnormal, reducing the area of the region of interest by adopting a second coefficient k2 so that the safety value in the region of interest meets the requirement, wherein 1> k2> k1>0, and k1+ k2= 1;

if the real-time status monitored by the first monitoring module is not abnormal and the transmission status monitored by the second monitoring module is not abnormal, the area of the region of interest is enlarged by using a second coefficient k 2.

Specifically, the region of interest is set in the internet of things consisting of information nodes and transmission links, the region of interest may be formed by several information nodes and links formed between the several information nodes, and belongs to a part of the internet of things, and as the region of interest increases, the information nodes and the transmission links may be added in the corresponding region of interest, and if the security value in the region of interest does not meet the requirement, the area of the region of interest is reduced, so that the number of nodes in the region of interest is reduced and the transmission links are reduced, so that the security value in the region of interest meets the requirement.

Specifically, according to the embodiment of the invention, the abnormal level of the current information node is determined according to the detection data of the information node, the adjustment of the region of interest is realized, the safety factor in the region of interest always belongs to the safety range, the monitoring requirement is met, the safety monitoring of the region of interest is realized, the safety supervision of the region of interest is improved, the safety degree of the region of interest is improved, the changed region is subjected to safety investigation according to the change of the region of interest, the potential safety hazard is eliminated in time, and the safety of the internet of things is improved.

Specifically, the occurrence of an abnormality in the real-time state monitored by the first monitoring module includes:

if the information node is a water meter, setting a pressure sensor in the water meter to acquire real-time pressure data;

transmitting the real-time pressure data to a control module through a transmission link;

the control module is internally provided with a first water pressure parameter P1 and a second water pressure parameter P2, the control module compares the detected real-time pressure data P with the first water pressure parameter P1 and the second water pressure parameter P2,

when P is not more than P1, the control module judges that the water pressure value is too low, the water pressure in the water meter is abnormal at a single point, the range of the water pressure value of the control module is abnormal, and the real-time state of the first monitoring module is abnormal at a first level;

when P is more than P1 and less than or equal to P2, the control module judges that the water pressure value range is normal, and the real-time state of the first monitoring module is normal;

when P is larger than P2, the control module judges that the water pressure value is too high, and the real-time state of the first monitoring module is subjected to primary abnormity.

Specifically, in the actual application process, the information node may be any data information that needs to be monitored in actual life, if the information node is a water meter, the monitored information is water pressure, if the information node is a refrigerator, the monitored information is temperature, if the information node is a vehicle, the monitored information may be speed, temperature of an engine, if the information node is an air conditioner, the monitored information may be temperature regulation capability, and the like, and in the actual application process, the information node may also be any other equipment that needs to be monitored, and since the parameter information of the equipment can be used as the monitored data, whether the operation of the information node is normal or not is determined through monitoring the parameter information, the safety of the information node is evaluated, so that the data generated by the information node is evaluated, the risk brought is determined, and the area of an area of interest is adjusted, the safety performance of the Internet of things consisting of the information nodes and the transmission links is stable, the accuracy of safety judgment is improved, and real-time adjustment is facilitated according to the safety level.

Specifically, when the range of the water pressure value P is normal and the range of the monitored water pressure value P ' at the next time of the water pressure value P is normal, the control module calculates an absolute value rP1 of the difference between the water pressure value P and the water pressure value P ', rP1= | -P ' |, an absolute value parameter rPz of the water pressure difference is further provided in the control module, the control module compares the calculated absolute value rP1 of the difference with the absolute value parameter rPz of the water pressure difference,

when rP1 is not more than rPz, the control module judges that the change values of the water pressure value P and the water pressure value P' are within a reasonable range, and the real-time state of the first monitoring module is normal;

when rP1 is larger than rPz, the control module judges that the change values of the water pressure value P and the water pressure value P' are not in a reasonable range, and the control module determines that the real-time state of the first monitoring module belongs to secondary abnormity.

Specifically, when the absolute value parameter rPz is set to determine that the range of the water pressure value P is normal and the range of the monitored water pressure value P 'at the next time of the water pressure value P is normal, the control module calculates the absolute value rP1 of the difference between the water pressure value P and the water pressure value P', and further determines the change difference of the water pressure value between adjacent times, if the change is rapid, the change indicates that the real-time state is abnormal, and is a second-level abnormality with a relatively deep depth, and by determining the second-level abnormality determination, the adjusting force of the region of interest is accurately determined, the accuracy of the region of interest adjustment is improved, and further the safety factor of the region of interest is further improved.

Specifically, a water pressure change function Pb = f (tz) in a single check period t is further arranged in the control module, wherein tz represents any time in the single check period t, and Pb represents a water pressure value in the water meter at the time tz;

the pressure sensor monitors all water pressure values in a single check period t1 and transmits all the monitored values to the storage module, and the control module analyzes all the water pressure values in a single check period t1 to obtain a water pressure change function P1b = f (t1z), wherein t1z represents any moment in a single check period t1, and P1b represents the water pressure value in the water meter at the moment of t1 z;

the control module compares the function P1b = f (t1z) to the hydraulic pressure variation function Pb = f (tz), and determines that the real-time status of the first monitoring module belongs to a three-level anomaly when a value deviating from the expected hydraulic pressure variation function Pb = f (tz) appears in the function P1b = f (t1 z).

Specifically, the abnormal state of the first monitoring module is further judged by determining the water pressure change function in the water meter, and the adjustment coefficient of the region of interest is further determined, so that the determination of the area of the region of interest is more accurate, and the safety of the region of interest is ensured.

Specifically, if the real-time status monitored by the first monitoring module is abnormal or the transmission status monitored by the second monitoring module is abnormal, the reducing the area of the region of interest by using the first coefficient k1 includes:

if the real-time state of the first monitoring module belongs to the first-level abnormity, reducing the first coefficient to 0.9 xk 1 when the area of the region of interest is reduced by adopting the first coefficient;

if the real-time state of the first monitoring module belongs to the second-level abnormity, reducing the first coefficient to 0.5 xk 1 when the area of the region of interest is reduced by adopting the first coefficient;

if the real-time state of the first monitoring module belongs to three-level abnormity, the first coefficient is reduced to 0.1 xk 1 when the area of the region of interest is reduced by the first coefficient.

Specifically, according to different abnormal levels, the step adjustment of the first coefficient is realized, so that the determination of the area of the region of interest is more accurate, and the accuracy of the determination of the area of the region of interest and the safety of the region of interest are improved.

Specifically, the area of the region of interest is reduced by a first coefficient k1 to be k1 × S0.

Specifically, in the embodiment of the present invention, the real-time state of the first monitoring module and the transmission state of the second monitoring module are adjusted for the area of the region of interest, and the influence of the state of the first monitoring module and the transmission state of the second monitoring module on the region of interest is additive, so that the influence of the first monitoring module on the region of interest is positively correlated, especially the positively correlated influence may be a multiple influence or a exponential influence.

Specifically, the area of the region of interest is reduced by a second coefficient k2 to be k2 × S0. The area of the region of interest is enlarged by a second factor k2 of S0 × (1 + k 2).

Specifically, the area of the region of interest is enlarged or reduced by using the first coefficient under different conditions, and if the real-time state monitored by the first monitoring module is abnormal and the transmission state monitored by the second monitoring module is abnormal, the area of the region of interest is reduced by using the second coefficient k2, so that the safety value in the region of interest meets the requirement, 1> k2> k1>0, and k1+ k2= 1; if the real-time state monitored by the first monitoring module is not abnormal and the transmission state monitored by the second monitoring module is not abnormal, the area of the region of interest is enlarged by adopting a second coefficient k2, so that the area of the region of interest is judged more accurately, and the safety value of the region of interest is improved.

Specifically, the real-time state of the transmission link determined by the second monitoring module in the embodiment of the present invention may be measured according to the transmission efficiency of the transmission link established between the nodes, so that the transmission security of the transmission link is graded, and the security of the transmission link is superimposed on the adjustment of the area of the region of interest according to the corresponding grade, so that the region of interest determined based on the first monitoring module and the second monitoring module is more accurate, and the security value of the region of interest is improved.

So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.

The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention; various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.