CN115857378A - Intelligent security monitoring system based on Internet of things - Google Patents
Intelligent security monitoring system based on Internet of things Download PDFInfo
- Publication number
- CN115857378A CN115857378A CN202210519440.2A CN202210519440A CN115857378A CN 115857378 A CN115857378 A CN 115857378A CN 202210519440 A CN202210519440 A CN 202210519440A CN 115857378 A CN115857378 A CN 115857378A
- Authority
- CN
- China
- Prior art keywords
- entity
- real
- analysis
- time
- security
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 119
- 238000004458 analytical method Methods 0.000 claims abstract description 123
- 238000010223 real-time analysis Methods 0.000 claims description 100
- 230000002159 abnormal effect Effects 0.000 claims description 44
- 238000000034 method Methods 0.000 claims description 13
- 238000001514 detection method Methods 0.000 claims description 10
- 238000005286 illumination Methods 0.000 claims description 8
- 230000007613 environmental effect Effects 0.000 claims description 3
- 230000006855 networking Effects 0.000 claims 1
- 230000009286 beneficial effect Effects 0.000 abstract description 4
- 230000003014 reinforcing effect Effects 0.000 abstract description 2
- 238000005516 engineering process Methods 0.000 description 7
- 238000012937 correction Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000002708 enhancing effect Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000000246 remedial effect Effects 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
Images
Landscapes
- Alarm Systems (AREA)
Abstract
The invention discloses an intelligent security monitoring system based on the Internet of things, which relates to the technical field of intelligent security and solves the technical problem that the security and protection supervision of a park can not be carried out from an equipment end and a monitoring end in the prior art, and the efficiency of the regional supervision in the park and the operation state of corresponding security and protection equipment are obtained through the state analysis of the security and protection equipment, so that the accuracy of the security and protection performance supervision of the park is improved, and the security performance of the park is enhanced; judging whether the entity entering the park is a familiar entity or not, thereby improving the monitoring efficiency of the entity after entering the park, simultaneously accurately monitoring the entity to different degrees and being beneficial to controlling the monitoring cost; judge whether the entity that gets into the garden advances the orbit normally to improve the monitoring dynamics to getting into the garden entity, can guarantee the security performance in garden when reinforcing garden access convenience, reduced the threat of external entity to garden security.
Description
Technical Field
The invention relates to the technical field of intelligent security, in particular to an intelligent security monitoring system based on the Internet of things.
Background
The intelligent security technology has advanced into a brand new field along with the development and progress of scientific technology and the soaring of information technology in the twenty-first century, the boundary between the intelligent security technology and a computer gradually disappears, the security performance of each field without the security technology is reduced, and the advance and development of the world scientific technology are influenced. The popularization and application of the internet of things technology enable the security of cities to evolve from a simple security protection system in the past to a city comprehensive system, and security projects of the cities cover a plurality of fields including street communities, building buildings, bank post offices, road monitoring, motor vehicles, police officers, moving objects, ships and the like.
However, in the prior art, in the process of security monitoring in the campus, security monitoring of the campus cannot be performed from the equipment side and the monitoring side, so that the security performance and the real-time security state in the current campus cannot be accurately judged, and the security monitoring efficiency in the campus and the efficient operation in the campus cannot be guaranteed when the state of the security equipment is unclear; in addition, also can't carry out many-sided analysis with real-time visitor, can't accurately carry out regional detection and visitor and pursue when having the safety risk, lead to the security protection remedial measure inefficiency in garden.
In view of the above technical drawbacks, a solution is proposed.
Disclosure of Invention
The invention aims to solve the problems and provides an intelligent security monitoring system based on the Internet of things, which obtains the efficiency of monitoring the area in the current park and the running state of the corresponding security equipment through the state analysis of the security equipment, thereby improving the accuracy of monitoring the security performance of the park and simultaneously enhancing the security performance of the park; judging whether the entity entering the park is a familiar entity or not, thereby improving the monitoring efficiency of the entity after entering the park, simultaneously accurately monitoring the entity to different degrees and being beneficial to controlling the monitoring cost; judge whether the entity orbit of marcing that gets into the garden is normal to improve the monitoring dynamics to getting into the garden entity, can guarantee the security performance in garden when reinforcing garden access convenience, reduce the threat of external entity to garden security.
The purpose of the invention can be realized by the following technical scheme:
an intelligent security monitoring system based on the Internet of things comprises:
the equipment state analysis unit is used for carrying out state analysis on security equipment in the garden, generating an equipment replacement signal, an operation parameter adjustment signal and an environment parameter adjustment signal through the state analysis, monitoring the security equipment according to various signal types, and marking an area qualified by the state analysis as an equipment qualified area, wherein the security equipment is represented as an intelligent security camera;
the monitoring end is used for monitoring the qualified area of the equipment in real time; an entity recognition and analysis unit, a real-time track analysis unit and a real-time behavior analysis unit are arranged in the monitoring end;
the entity identification and analysis unit is used for carrying out entity identification and analysis on the qualified area of the equipment, and the entity comprises a person and a vehicle; dividing entities entering a park in real time into familiar entities and unfamiliar entities through entity identification analysis;
the real-time track analysis unit is used for analyzing the track of an entity entering the park, marking the entity entering the park as a real-time analysis entity, generating an early warning signal and a behavior analysis signal through track analysis, and correspondingly sending the early warning signal and the behavior analysis signal to the security performance supervision unit and the real-time behavior analysis unit; after receiving the early warning signal, the security performance monitoring unit acquires the traveling speed and the real-time position of the current real-time analysis entity, acquires a preset arrival point of the real-time analysis entity according to the attendance time of an administrator and a selectable road corresponding to the real-time position, and takes the preset arrival point as a detection point of the administrator, wherein the preset arrival point in the traveling direction corresponding to the real-time analysis entity is taken as a first-choice detection point, and the preset arrival point in the non-traveling direction of the real-time analysis entity is taken as a second-choice detection point;
the real-time behavior analysis unit is used for analyzing the real-time behavior of the real-time analysis entity, generating a traveling abnormal signal and a arrival normal signal through the real-time behavior analysis of the real-time analysis entity, and sending the traveling abnormal signal and the arrival normal signal to the security performance supervision unit; after the security performance monitoring unit receives the travelling abnormal signal and the arrival normal signal, accurate monitoring and administrator inspection are carried out according to the corresponding passing area number and the non-intersection area number, and the familiar entity is monitored in a targeted manner.
As a preferred embodiment of the present invention, the operation of the device state analyzing unit is as follows:
dividing a park area into i sub-areas, wherein security equipment is arranged in each divided sub-area; acquiring the daytime maximum illumination intensity in each subregion of the park and the maximum adjustable light intensity of security equipment in the corresponding subregion, calculating the ratio of the daytime maximum illumination intensity in each subregion to obtain an intensity ratio, and setting a label GBZi; acquiring the area of each sub-area in the park and the area of the area, which can be monitored at night, of the security equipment in the corresponding sub-area, and calculating the ratio of the area to obtain YJDi;
acquiring the average passing speed of entities in each sub-area in the park and the monitoring frame rate of security equipment in the corresponding sub-area, and respectively marking the average passing speed of the entities as SDi and ZLI;
by the formula
Obtaining an operation analysis coefficient Xi of the security protection equipment in each sub-region, wherein a1 and a2 are preset proportionality coefficients, and a1 is larger than a2 and larger than 0; and acquiring a region matching coefficient HJi of the security equipment in each sub-region through a formula HJi = beta (GBZi + YJDi), wherein beta is an error correction factor and is 1.35.
As a preferred embodiment of the present invention, the area matching coefficient HJi of the security device in the sub-area is compared with the security device operation analysis coefficient Xi with the area matching coefficient threshold and the operation analysis coefficient threshold:
if the region matching coefficient HJi of the security equipment in the sub-region exceeds the region matching coefficient threshold value and the security equipment operation analysis coefficient Xi exceeds the operation analysis coefficient threshold value, judging that the state analysis of the security equipment in the corresponding sub-region is abnormal, generating an equipment replacement signal and sending the equipment replacement signal to a security performance supervision unit;
if the region matching coefficient HJi of the security equipment in the sub-region does not exceed the region matching coefficient threshold value and the operation analysis coefficient Xi of the security equipment exceeds the operation analysis coefficient threshold value, judging that the corresponding security equipment cannot meet the monitoring requirement of the current sub-region, generating an operation parameter adjusting signal and adjusting and sending the operation parameter to a security performance monitoring unit; after receiving the operation parameter adjusting signal, the security performance monitoring unit adjusts the security equipment of the corresponding sub-region, and the adjusting standard is to improve the operation frame rate of the security equipment;
if the region matching coefficient HJi of the security equipment in the sub-region exceeds the region matching coefficient threshold value and the operation analysis coefficient Xi of the security equipment does not exceed the operation analysis coefficient threshold value, judging that the corresponding security equipment cannot match the environment of the current sub-region, generating an environment parameter adjusting signal and sending the environment parameter adjusting signal to a security performance monitoring unit; after receiving the environmental parameter adjusting signal, the security performance monitoring unit adjusts the security equipment in the corresponding sub-area, and the adjusting standard is to improve the highest adjusting light intensity and the lowest night visibility of the security equipment;
if the region matching coefficient HJi of the security equipment in the sub-region does not exceed the region matching coefficient threshold value and the security equipment operation analysis coefficient Xi does not exceed the operation analysis coefficient threshold value, judging that the state analysis of the corresponding security equipment is qualified, marking the corresponding sub-region as an equipment qualified region, and simultaneously generating a state analysis qualified signal and sending the state analysis qualified signal to a monitoring end.
In a preferred embodiment of the present invention, the entity identification and analysis unit operates as follows:
the method comprises the following steps of identifying and analyzing an entity entering a park in real time, obtaining the number of times that the entity enters the park and the interval duration that a corresponding entity enters the park through entity identification, and comparing the number of times that the entity enters the park and the interval duration that the corresponding entity enters the park with a number threshold and an interval duration threshold respectively:
if the times of the entities entering the park exceed the time threshold, or the interval duration of the corresponding entities entering the park does not exceed the interval duration threshold, marking the corresponding entities as familiar entities, and marking the current entities entering the park as familiar entries; if the times of the entities entering the garden do not exceed the time threshold, and the interval duration of the corresponding entities entering the garden exceeds the interval duration threshold, the corresponding entities are marked as stranger entities, and the current entities entering the garden are marked as stranger entries.
As a preferred embodiment of the present invention, the operation process of the real-time trajectory analysis unit is as follows:
the method comprises the steps of marking an entity entering a park as a real-time analysis entity, obtaining a travelling route of the real-time analysis entity in the park, acquiring a corresponding ratio of the number of areas provided with security equipment to the number of areas not provided with the security equipment in the travelling route corresponding to the real-time analysis entity, marking the ratio as a travelling monitoring ratio, acquiring a speed ratio of the areas provided with the security equipment to the areas not provided with the security equipment of the real-time analysis entity, and marking the speed ratio as a travelling speed ratio;
comparing the travel monitoring ratio and the travel speed ratio of the real-time analysis entity with a travel monitoring ratio threshold and a travel speed ratio threshold, respectively: if the traveling monitoring ratio of the real-time analysis entity does not exceed the traveling monitoring ratio threshold and the traveling speed ratio exceeds the traveling speed ratio threshold, judging that the real-time analysis entity has a risk of avoiding monitoring, and if the corresponding real-time analysis entity is a strange entity, generating an early warning signal and sending the early warning signal to a security performance monitoring unit; and if the corresponding real-time analysis entity is a familiar entity, generating a behavior analysis signal and sending the behavior analysis to the real-time behavior analysis unit.
As a preferred embodiment of the present invention, the operation process of the real-time behavior analysis unit is as follows:
acquiring a target area of a real-time analysis entity according to a travelling track of the real-time analysis entity, acquiring a passing area of the real-time analysis entity according to the route type of the target area, and acquiring a non-intersection area of the real-time analysis entity according to the acquired target area and the passing area;
acquiring the frequency and the passing time of the real-time analysis entity passing through the area repeatedly, and comparing the frequency and the passing time with corresponding thresholds respectively:
if any value of the frequency of the real-time analysis entity passing through the region repeatedly and the interval duration exceeds the corresponding threshold value, judging that the real-time analysis entity passes through the region and has abnormal advancing, generating an advancing abnormal signal and sending the advancing abnormal signal and the corresponding passing region number to a security performance monitoring unit;
if the frequency of the real-time analysis entity passing through the region repeatedly and the interval duration exceed the corresponding threshold values, judging that the real-time analysis entity normally advances through the region, generating a normal advancing signal and sending the normal advancing signal to a security performance monitoring unit;
acquiring the time consumption of passing through a non-intersection region after a real-time analysis entity reaches a target region, and the corresponding interval duration of the time of reaching the target region and the time of passing through the non-intersection region, and marking the time consumption as abnormal passage time consumption and abnormal passage duration; if the abnormal passage time consumption of the real-time analysis entity exceeds the corresponding time consumption threshold value or the abnormal passage time length of the real-time analysis entity does not exceed the corresponding time length threshold value, judging that the target area of the corresponding real-time analysis entity reaches the abnormity, generating a reaching abnormity signal and sending the number of the non-intersection area corresponding to the reaching abnormity signal to the security performance monitoring unit; if the abnormal passage time consumption of the real-time analysis entity does not exceed the corresponding time consumption threshold value and the abnormal passage time length of the real-time analysis entity exceeds the corresponding time length threshold value, judging that the target area of the corresponding real-time analysis entity reaches the normal state, generating a normal reaching signal and sending the number of the non-intersection area corresponding to the normal reaching signal to the security performance monitoring unit.
Compared with the prior art, the invention has the beneficial effects that:
according to the method, the efficiency of monitoring the area in the current park and the running state of the corresponding security equipment are obtained through the state analysis of the security equipment, so that the accuracy of monitoring the security performance of the park is improved, and meanwhile, the security performance of the park is enhanced; judging whether the entity entering the park is a familiar entity or not, thereby improving the monitoring efficiency of the entity after entering the park, simultaneously accurately monitoring the entity to different degrees and being beneficial to controlling the monitoring cost; judging whether the travel track of the entity entering the park is normal or not, thereby improving the monitoring strength of the entity entering the park, enhancing the convenience of park access, simultaneously ensuring the safety performance of the park and reducing the threat of external entities to the safety of the park; the real-time behavior of the real-time analysis entity is analyzed, so that the security of familiar entities entering the park is guaranteed, the security monitoring strength in the park is enhanced, and the security performance in the park is improved.
Drawings
To facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described below clearly and completely in conjunction with the embodiments, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The intelligent security system can be simply understood as a technical system which is accurate and selectively operated in image transmission and storage, data storage and processing; in terms of an intelligent security system, a complete intelligent security system mainly comprises three parts of entrance guard, alarm and monitoring. The intelligent security and protection is the most different from the traditional security and protection, the security and protection industry in China develops quickly and is more popular, but the traditional security and protection has stronger dependence on people and consumes manpower, and the intelligent security and protection can realize intelligent judgment through a machine, so that the things people want to do are realized as far as possible;
referring to fig. 1, an intelligent security monitoring system based on the internet of things can analyze security equipment and security monitoring in real time through an equipment end and a monitoring end respectively, wherein the security equipment is security equipment such as a camera for security monitoring in a park, and the security monitoring is measures for protecting the park, such as security measures of entrance guard, alarm and the like; meanwhile, the system can integrally supervise the monitoring end and the equipment end and can master the security performance in the current park in real time, so that the safety performance of the park is ensured, and meanwhile, the high-efficiency operation of security measures can be ensured, and the safety protection performance of the park can be improved;
the system is suitable for security supervision of the park, the security equipment in the park is subjected to state analysis through the equipment state analysis unit, and the efficiency of the current regional supervision in the park and the running state of the corresponding security equipment are obtained through the state analysis of the security equipment, so that the accuracy of the security supervision of the park is improved, and the security performance of the park is enhanced;
dividing a garden area into i sub-areas, wherein security equipment is arranged in each divided sub-area; acquiring the maximum daytime illumination intensity in each sub-area in the garden and the maximum adjustable light intensity of the security equipment in the corresponding sub-area, calculating the ratio of the maximum daytime illumination intensity in each sub-area in the garden and the maximum adjustable light intensity of the security equipment in the corresponding sub-area to obtain an intensity ratio, and setting a label GBZi; acquiring the area of each sub-region in the park and the area of the security equipment in the corresponding sub-region, which can be monitored at night, and calculating the ratio of the area of each sub-region in the park and the area of the security equipment in the corresponding sub-region, which can be monitored at night, to obtain YJDi; the adjustable light intensity of the security equipment is indicated as that the security equipment is adjusted under illumination, and the maximum illumination intensity of the security equipment is the maximum adjustable light intensity;
acquiring the average passing speed of entities in each sub-area in the park and the monitoring frame rate of security equipment in the corresponding sub-area, and respectively marking the average passing speed of the entities in each sub-area in the park and the monitoring frame rate of the security equipment in the corresponding sub-area as SDi and ZLI;
by the formula
Obtaining an operation analysis coefficient Xi of the security protection equipment in each sub-region, wherein a1 and a2 are preset proportionality coefficients, and a1 is larger than a2 and larger than 0;
obtaining a region matching coefficient HJi of the security equipment in each sub-region through a formula HJi = beta (GBZi + YJDi), wherein beta is an error correction factor and is 1.35;
comparing the region matching coefficient HJi and the security equipment operation analysis coefficient Xi of the security equipment in the sub-region with a region matching coefficient threshold value and an operation analysis coefficient threshold value respectively:
if the region matching coefficient HJi of the security equipment in the sub-region exceeds the region matching coefficient threshold value and the security equipment operation analysis coefficient Xi exceeds the operation analysis coefficient threshold value, judging that the security equipment state analysis in the corresponding sub-region is abnormal, generating an equipment replacement signal and sending the equipment replacement signal to a security performance supervision unit;
if the region matching coefficient HJi of the security equipment in the sub-region does not exceed the region matching coefficient threshold value and the operation analysis coefficient Xi of the security equipment exceeds the operation analysis coefficient threshold value, judging that the corresponding security equipment cannot meet the monitoring requirement of the current sub-region, generating an operation parameter adjusting signal and adjusting and sending the operation parameter to a security performance monitoring unit; after receiving the operation parameter adjusting signal, the security performance monitoring unit adjusts the security equipment of the corresponding sub-region, and the adjusting standard is to improve the operation frame rate of the security equipment;
if the region matching coefficient HJi of the security equipment in the sub-region exceeds the region matching coefficient threshold value and the operation analysis coefficient Xi of the security equipment does not exceed the operation analysis coefficient threshold value, judging that the corresponding security equipment cannot match the environment of the current sub-region, generating an environment parameter adjusting signal and sending the environment parameter adjusting signal to a security performance monitoring unit; after receiving the environmental parameter adjusting signal, the security performance monitoring unit adjusts the security equipment in the corresponding sub-area, and the adjusting standard is to improve the highest adjusting light intensity and the lowest night visibility of the security equipment; in the method, the sub-area is marked as an equipment qualified area after the equipment is adjusted or replaced by the security performance monitoring unit and the requirements of the sub-area are met;
if the region matching coefficient HJi of the security equipment in the sub-region does not exceed the region matching coefficient threshold value and the security equipment operation analysis coefficient Xi does not exceed the operation analysis coefficient threshold value, judging that the state analysis of the corresponding security equipment is qualified, marking the corresponding sub-region as an equipment qualified region, simultaneously generating a state analysis qualified signal and sending the state analysis qualified signal to a monitoring end;
the qualified areas of the equipment are monitored in real time through the monitoring end, the qualified areas of the equipment are subjected to entity identification analysis through the entity identification analysis unit, and whether the entity entering the park is a familiar entity or not is judged, so that the monitoring efficiency of the entity entering the park is improved, meanwhile, the entity can be accurately monitored to different degrees, and the monitoring cost is favorably controlled;
the entity that will get into the garden in real time carries out identification analysis, and the entity includes people and car, and people's identification mode is face identification, and the identification mode of car is license plate discernment, obtains the number of times that the entity got into the garden and the interval duration that the corresponding entity got into the garden through entity discernment to the number of times that the entity got into the garden and the interval duration that the corresponding entity got into the garden compare with number of times threshold value and interval duration threshold value respectively:
if the times of the entities entering the park exceed the time threshold, or the interval duration of the corresponding entities entering the park does not exceed the interval duration threshold, marking the corresponding entities as familiar entities, and marking the current entities entering the park as familiar entries; if the times of the entities entering the garden do not exceed the time threshold, and the interval duration of the corresponding entities entering the garden exceeds the interval duration threshold, marking the corresponding entities as stranger entities, and marking the current entities entering the garden as stranger entries;
the real-time track analysis unit is used for carrying out track analysis on the entity entering the park and judging whether the travel track of the entity entering the park is normal or not, so that the monitoring strength of the entity entering the park is improved, the safety performance of the park can be ensured while the access convenience of the park is enhanced, and the threat of an external entity to the safety of the park is reduced;
the method comprises the steps of marking an entity entering a park as a real-time analysis entity, obtaining a travelling route of the real-time analysis entity in the park, acquiring a corresponding ratio of the number of areas provided with security equipment to the number of areas not provided with the security equipment in the travelling route corresponding to the real-time analysis entity, marking the ratio as a travelling monitoring ratio, acquiring a speed ratio of the areas provided with the security equipment to the areas not provided with the security equipment of the real-time analysis entity, and marking the speed ratio as a travelling speed ratio;
comparing the travel monitoring ratio and the travel speed ratio of the real-time analysis entity with a travel monitoring ratio threshold and a travel speed ratio threshold, respectively:
if the traveling monitoring ratio of the real-time analysis entity does not exceed the traveling monitoring ratio threshold and the traveling speed ratio exceeds the traveling speed ratio threshold, judging that the real-time analysis entity has a risk of avoiding monitoring, and if the corresponding real-time analysis entity is a strange entity, generating an early warning signal and sending the early warning signal to a security performance monitoring unit; if the corresponding real-time analysis entity is a familiar entity, generating a behavior analysis signal and sending the behavior analysis to a real-time behavior analysis unit;
after receiving the early warning signal, the security performance monitoring unit acquires the traveling speed and the real-time position of the current real-time analysis entity, acquires a preset arrival point of the real-time analysis entity according to the attendance time of an administrator and a selectable road corresponding to the real-time position, and takes the preset arrival point as a detection point of the administrator, wherein the preset arrival point in the traveling direction corresponding to the real-time analysis entity is taken as a preferred detection point, and the preset arrival point in the non-traveling direction of the real-time analysis entity is taken as an alternative detection point;
the real-time behavior analysis unit is used for analyzing the real-time behavior of the real-time analysis entity, so that the safety of familiar entities entering the park is guaranteed, the security monitoring strength in the park is enhanced, and the safety performance in the park is improved;
acquiring a target area of a real-time analysis entity according to a traveling track of the real-time analysis entity, acquiring a passing area of the real-time analysis entity according to a route type of the target area, and acquiring a non-intersection area of the real-time analysis entity according to the acquired target area and the passing area;
acquiring the frequency and the passing time length of the real-time analysis entity passing through the region repeatedly, and comparing the frequency and the passing time length of the real-time analysis entity passing through the region repeatedly with corresponding threshold values respectively: if any value of the frequency of the real-time analysis entity passing through the region repeatedly and the interval duration exceeds the corresponding threshold value, judging that the real-time analysis entity passes through the region and has abnormal advancing, generating an advancing abnormal signal and sending the advancing abnormal signal and the corresponding passing region number to a security performance monitoring unit; if the frequency of the real-time analysis entity passing through the region repeatedly and the interval duration exceed the corresponding threshold values, judging that the real-time analysis entity normally advances through the region, generating a normal advancing signal and sending the normal advancing signal to a security performance monitoring unit;
acquiring the time consumption of the real-time analysis entity passing through the non-intersection region after reaching the target region, the time of reaching the target region and the interval duration corresponding to the time of passing through the non-intersection region, and marking the time consumption of the real-time analysis entity passing through the non-intersection region after reaching the target region, the time of reaching the target region and the interval duration corresponding to the time of passing through the non-intersection region as abnormal passage time consumption and abnormal passage duration; if the abnormal passage time consumption of the real-time analysis entity exceeds the corresponding time consumption threshold value or the abnormal passage time length of the real-time analysis entity does not exceed the corresponding time length threshold value, judging that the target area of the corresponding real-time analysis entity reaches the abnormity, generating a reaching abnormity signal and sending the number of the non-intersection area corresponding to the reaching abnormity signal to the security performance monitoring unit; if the abnormal passage time consumption of the real-time analysis entity does not exceed the corresponding time consumption threshold value and the abnormal passage time length of the real-time analysis entity exceeds the corresponding time length threshold value, judging that the target area of the corresponding real-time analysis entity reaches the normal state, generating a normal reaching signal and sending the number of the non-intersection area corresponding to the normal reaching signal to the security performance monitoring unit;
after the security performance supervision unit receives the travelling abnormal signal and the normal signal, the travelling abnormal signal and the normal signal are accurately monitored according to the corresponding passing area number and the non-intersection area number, a manager visits, a familiar entity is monitored in a targeted mode, the normal passing of a user is not influenced, meanwhile, the safety risk in the garden is reduced to the minimum, and the accuracy of security monitoring in the garden is improved.
The formulas are obtained by acquiring a large amount of data and performing software simulation, and the coefficients in the formulas are set by the technicians in the field according to actual conditions;
when the intelligent safety protection system is used, the state of safety protection equipment in a park is analyzed through the equipment state analysis unit, an equipment replacement signal, an operation parameter adjusting signal and an environment parameter adjusting signal are generated through the state analysis, and the safety protection equipment is monitored according to each signal type; the monitoring end is used for monitoring the qualified area of the equipment in real time; carrying out entity identification analysis on the qualified area of the equipment through an entity identification analysis unit, wherein the entities comprise people and vehicles; dividing entities entering a park in real time into familiar entities and unfamiliar entities through entity identification analysis; the real-time track analysis unit is used for carrying out track analysis on an entity entering the park, marking the entity entering the park as a real-time analysis entity, generating an early warning signal and a behavior analysis signal through the track analysis, and correspondingly sending the early warning signal and the behavior analysis signal to the security performance supervision unit and the real-time behavior analysis unit; the real-time behavior of the real-time analysis entity is analyzed through the real-time behavior analysis unit, the advancing abnormal signal and the arrival normal signal are generated through the real-time behavior analysis of the real-time analysis entity, and the advancing abnormal signal and the arrival normal signal are sent to the security performance monitoring unit.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (6)
1. The utility model provides an intelligent security monitored control system based on thing networking which characterized in that includes:
the equipment state analysis unit is used for carrying out state analysis on security equipment in the garden, generating an equipment replacement signal, an operation parameter adjustment signal and an environment parameter adjustment signal through the state analysis, monitoring the security equipment according to various signal types, and marking an area qualified by the state analysis as an equipment qualified area, wherein the security equipment is represented as an intelligent security camera;
the monitoring end is used for monitoring the qualified area of the equipment in real time; an entity recognition and analysis unit, a real-time track analysis unit and a real-time behavior analysis unit are arranged in the monitoring end;
the entity identification and analysis unit is used for carrying out entity identification and analysis on the qualified area of the equipment, and the entity comprises a person and a vehicle; dividing entities entering a park in real time into familiar entities and unfamiliar entities through entity identification analysis;
the real-time track analysis unit is used for analyzing the track of an entity entering the park, marking the entity entering the park as a real-time analysis entity, generating an early warning signal and a behavior analysis signal through track analysis, and correspondingly sending the early warning signal and the behavior analysis signal to the security performance supervision unit and the real-time behavior analysis unit; after receiving the early warning signal, the security performance monitoring unit acquires the traveling speed and the real-time position of the current real-time analysis entity, acquires a preset arrival point of the real-time analysis entity according to the attendance time of an administrator and a selectable road corresponding to the real-time position, and takes the preset arrival point as a detection point of the administrator, wherein the preset arrival point in the traveling direction corresponding to the real-time analysis entity is taken as a preferred detection point, and the preset arrival point in the non-traveling direction of the real-time analysis entity is taken as an alternative detection point;
the real-time behavior analysis unit is used for analyzing the real-time behavior of the real-time analysis entity, generating a traveling abnormal signal and a arrival normal signal through the real-time behavior analysis of the real-time analysis entity, and sending the traveling abnormal signal and the arrival normal signal to the security performance supervision unit; after the security performance supervision unit receives the travelling abnormal signal and the arrival normal signal, the travelling abnormal signal and the arrival normal signal are accurately monitored according to the corresponding passing area number and the non-intersection area number, and the familiar entity is monitored in a targeted manner.
2. The intelligent security monitoring system based on the internet of things as claimed in claim 1, wherein the operation process of the equipment state analysis unit is as follows:
dividing a garden area into i sub-areas, wherein security equipment is arranged in each divided sub-area; acquiring the daytime maximum illumination intensity in each subregion of the park and the maximum adjustable light intensity of security equipment in the corresponding subregion, calculating the ratio of the daytime maximum illumination intensity in each subregion to obtain an intensity ratio, and setting a label GBZi; acquiring the area of each sub-region in the park and the area of a region which can be monitored at night and corresponds to security equipment in the corresponding sub-region, and calculating the ratio of the area to obtain YJDi;
acquiring the average passing speed of entities in each sub-area in the park and the monitoring frame rate of security equipment in the corresponding sub-area; obtaining the operation analysis coefficient Xi of the security protection equipment of each subarea through analysis; and obtaining the region matching coefficient HJi of the security equipment in each sub-region through analysis.
3. The intelligent security monitoring system based on the internet of things as claimed in claim 2, wherein the region matching coefficient HJi of the security equipment in the sub-region is compared with the security equipment operation analysis coefficient Xi with the region matching coefficient threshold and the operation analysis coefficient threshold:
if the region matching coefficient HJi of the security equipment in the sub-region exceeds the region matching coefficient threshold value and the security equipment operation analysis coefficient Xi exceeds the operation analysis coefficient threshold value, judging that the state analysis of the security equipment in the corresponding sub-region is abnormal, generating an equipment replacement signal and sending the equipment replacement signal to a security performance supervision unit;
if the region matching coefficient HJi of the security equipment in the sub-region does not exceed the region matching coefficient threshold value and the operation analysis coefficient Xi of the security equipment exceeds the operation analysis coefficient threshold value, judging that the corresponding security equipment cannot meet the monitoring requirement of the current sub-region, generating an operation parameter adjusting signal and adjusting and sending the operation parameter to a security performance monitoring unit; after receiving the operation parameter adjusting signal, the security performance monitoring unit adjusts the security equipment of the corresponding sub-area, and the adjusting standard is to improve the operation frame rate of the security equipment;
if the region matching coefficient HJi of the security equipment in the sub-region exceeds the region matching coefficient threshold value and the operation analysis coefficient Xi of the security equipment does not exceed the operation analysis coefficient threshold value, judging that the corresponding security equipment cannot match the environment of the current sub-region, generating an environment parameter adjusting signal and sending the environment parameter adjusting signal to a security performance monitoring unit; after receiving the environmental parameter adjusting signal, the security performance monitoring unit adjusts the security equipment in the corresponding sub-area, and the adjusting standard is to improve the highest adjusting light intensity and the lowest night visibility of the security equipment;
if the region matching coefficient HJi of the security equipment in the sub-region does not exceed the region matching coefficient threshold value and the security equipment operation analysis coefficient Xi does not exceed the operation analysis coefficient threshold value, judging that the state analysis of the corresponding security equipment is qualified, marking the corresponding sub-region as an equipment qualified region, and simultaneously generating a state analysis qualified signal and sending the state analysis qualified signal to a monitoring end.
4. The intelligent security monitoring system based on the internet of things according to claim 1, wherein the operation process of the entity identification and analysis unit is as follows:
the method comprises the following steps of identifying and analyzing an entity entering a park in real time, obtaining the number of times that the entity enters the park and the interval duration that a corresponding entity enters the park through entity identification, and comparing the number of times that the entity enters the park and the interval duration that the corresponding entity enters the park with a number threshold and an interval duration threshold respectively:
if the times of the entities entering the park exceed the time threshold, or the interval duration of the corresponding entities entering the park does not exceed the interval duration threshold, marking the corresponding entities as familiar entities, and marking the current entities entering the park as familiar entries; if the times of the entities entering the garden do not exceed the time threshold, and the interval duration of the corresponding entities entering the garden exceeds the interval duration threshold, the corresponding entities are marked as stranger entities, and the current entities entering the garden are marked as stranger entries.
5. The intelligent security monitoring system based on the internet of things as claimed in claim 1, wherein the operation process of the real-time trajectory analysis unit is as follows:
the method comprises the steps of marking an entity entering a park as a real-time analysis entity, acquiring a travelling route of the real-time analysis entity in the park, acquiring a corresponding ratio of the number of areas provided with security protection equipment to the number of areas not provided with the security protection equipment in the travelling route corresponding to the real-time analysis entity, marking the ratio as a travelling monitoring ratio, acquiring a speed ratio of the areas provided with the security protection equipment to the areas not provided with the security protection equipment of the real-time analysis entity, and marking the speed ratio as a travelling speed ratio;
comparing the travel monitoring ratio and the travel speed ratio of the real-time analysis entity with a travel monitoring ratio threshold and a travel speed ratio threshold, respectively: if the traveling monitoring ratio of the real-time analysis entity does not exceed the traveling monitoring ratio threshold and the traveling speed ratio exceeds the traveling speed ratio threshold, judging that the real-time analysis entity has a risk of avoiding monitoring, and if the corresponding real-time analysis entity is a strange entity, generating an early warning signal and sending the early warning signal to a security performance monitoring unit; and if the corresponding real-time analysis entity is a familiar entity, generating a behavior analysis signal and sending the behavior analysis to the real-time behavior analysis unit.
6. The intelligent security monitoring system based on the internet of things as claimed in claim 1, wherein the real-time behavior analysis unit operates as follows:
acquiring a target area of a real-time analysis entity according to a traveling track of the real-time analysis entity, acquiring a passing area of the real-time analysis entity according to a route type of the target area, and acquiring a non-intersection area of the real-time analysis entity according to the acquired target area and the passing area;
acquiring the frequency and the passing time of the real-time analysis entity passing through the area repeatedly, and comparing the frequency and the passing time with corresponding thresholds respectively:
if any value of the frequency of the real-time analysis entity passing through the region repeatedly and the interval duration exceeds the corresponding threshold value, judging that the real-time analysis entity passes through the region and has abnormal advancing, generating an advancing abnormal signal and sending the advancing abnormal signal and the corresponding passing region number to a security performance monitoring unit;
if the frequency of the real-time analysis entity passing through the region repeatedly and the interval duration exceed the corresponding threshold values, judging that the real-time analysis entity normally advances through the region, generating a normal advancing signal and sending the normal advancing signal to a security performance monitoring unit;
acquiring the time consumption of passing through a non-intersection region after a real-time analysis entity reaches a target region, and the corresponding interval duration of the time of reaching the target region and the time of passing through the non-intersection region, and marking the time consumption as abnormal passage time consumption and abnormal passage duration; if the abnormal passage time consumption of the real-time analysis entity exceeds the corresponding time consumption threshold value or the abnormal passage time length of the real-time analysis entity does not exceed the corresponding time length threshold value, judging that the target area corresponding to the real-time analysis entity is abnormal, generating a reaching abnormal signal and sending the number of the non-intersection area corresponding to the reaching abnormal signal to the security performance monitoring unit; if the abnormal passage time consumption of the real-time analysis entity does not exceed the corresponding time consumption threshold value and the abnormal passage time length of the real-time analysis entity exceeds the corresponding time length threshold value, judging that the target area of the corresponding real-time analysis entity reaches the normal state, generating a normal reaching signal and sending the number of the non-intersection area corresponding to the normal reaching signal to the security performance monitoring unit.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210519440.2A CN115857378A (en) | 2022-05-12 | 2022-05-12 | Intelligent security monitoring system based on Internet of things |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210519440.2A CN115857378A (en) | 2022-05-12 | 2022-05-12 | Intelligent security monitoring system based on Internet of things |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115857378A true CN115857378A (en) | 2023-03-28 |
Family
ID=85660080
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210519440.2A Pending CN115857378A (en) | 2022-05-12 | 2022-05-12 | Intelligent security monitoring system based on Internet of things |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115857378A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116320831A (en) * | 2023-05-19 | 2023-06-23 | 南京迅集科技有限公司 | Intelligent park security system based on edge calculation |
| CN117475608A (en) * | 2023-12-28 | 2024-01-30 | 云南远信科技有限公司 | Multi-scene security monitoring method based on unmanned aerial vehicle cluster |
| CN117669898A (en) * | 2024-02-01 | 2024-03-08 | 深圳市创泽视科技有限公司 | Intelligent security monitoring management system based on Internet of things |
-
2022
- 2022-05-12 CN CN202210519440.2A patent/CN115857378A/en active Pending
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116320831A (en) * | 2023-05-19 | 2023-06-23 | 南京迅集科技有限公司 | Intelligent park security system based on edge calculation |
| CN116320831B (en) * | 2023-05-19 | 2024-01-02 | 南京迅集科技有限公司 | Intelligent park security system based on edge calculation |
| CN117475608A (en) * | 2023-12-28 | 2024-01-30 | 云南远信科技有限公司 | Multi-scene security monitoring method based on unmanned aerial vehicle cluster |
| CN117475608B (en) * | 2023-12-28 | 2024-03-08 | 云南远信科技有限公司 | Multi-scene security monitoring method based on unmanned aerial vehicle cluster |
| CN117669898A (en) * | 2024-02-01 | 2024-03-08 | 深圳市创泽视科技有限公司 | Intelligent security monitoring management system based on Internet of things |
| CN117669898B (en) * | 2024-02-01 | 2024-06-04 | 深圳市创泽视科技有限公司 | Intelligent security monitoring management system based on Internet of things |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN115857378A (en) | Intelligent security monitoring system based on Internet of things | |
| CN110717433A (en) | Deep learning-based traffic violation analysis method and device | |
| CN102903239B (en) | Method and system for detecting illegal left-and-right steering of vehicle at traffic intersection | |
| CN110197589A (en) | A kind of illegal detection method of making a dash across the red light based on deep learning | |
| CN111833598B (en) | Automatic traffic incident monitoring method and system for unmanned aerial vehicle on highway | |
| CN104751634A (en) | Comprehensive application method of expressway tunnel driving image acquisition information | |
| CN103268489A (en) | Motor vehicle plate identification method based on sliding window searching | |
| CN107204120B (en) | Method and device for designing traffic signal phase by using travel time | |
| CN110929676A (en) | Deep learning-based real-time detection method for illegal turning around | |
| CN113851017A (en) | Pedestrian and vehicle identification and early warning multifunctional system based on road side RSU | |
| CN116168356B (en) | Vehicle damage judging method based on computer vision | |
| CN106372619A (en) | Vehicle robustness detection and divided-lane arrival accumulative curve estimation method | |
| CN108520528B (en) | Mobile vehicle tracking method based on improved difference threshold and displacement matching model | |
| CN111489380B (en) | Target object track analysis method | |
| CN107393311A (en) | A kind of car plate tamper Detection device and method | |
| CN117351702A (en) | Intelligent traffic management method based on adjustment of traffic flow | |
| CN110472508A (en) | Lane line distance measuring method based on deep learning and binocular vision | |
| CN116631187B (en) | Intelligent acquisition and analysis system for case on-site investigation information | |
| CN113344874A (en) | Pedestrian boundary crossing detection method based on Gaussian mixture modeling | |
| CN110909607B (en) | Passenger flow sensing device system in intelligent subway operation | |
| CN114693722B (en) | Vehicle driving behavior detection method, detection device and detection equipment | |
| Wang et al. | Detection of lane lines on both sides of road based on monocular camera | |
| CN113223276B (en) | Pedestrian hurdling behavior alarm method and device based on video identification | |
| CN114973664A (en) | Machine vision-based urban traffic online intelligent monitoring and early warning management system | |
| CN113936456B (en) | Street-crossing traffic identification and feature analysis method based on millimeter wave radar |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20230328 |
|
| WD01 | Invention patent application deemed withdrawn after publication |