CN116883220B - Intelligent campus dangerous situation sensing method and system based on multi-source data fusion - Google Patents

Intelligent campus dangerous situation sensing method and system based on multi-source data fusion Download PDF

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CN116883220B
CN116883220B CN202311150088.0A CN202311150088A CN116883220B CN 116883220 B CN116883220 B CN 116883220B CN 202311150088 A CN202311150088 A CN 202311150088A CN 116883220 B CN116883220 B CN 116883220B
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徐国建
陈华溢
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Chengdu Dingyi Weiyuan Technology Co ltd
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    • G08B21/043Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis detecting an emergency event, e.g. a fall
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Abstract

The invention relates to a smart campus dangerous situation sensing method and system based on multi-source data fusion, which belong to the technical field of electric digital data processing, and can be used for identifying and analyzing the imaging behavior of students in the process of crossing an entrance guard through orderly cooperation starting among a personnel approaching detection device, a contact bearing detection device, an abnormal deformation detection device, an infrared detection device, an image detection and identification device, a personnel stay detection device and a medical care alarm device, so that the smart campus dangerous situation sensing method and system is beneficial to rapid emergency treatment of campus management departments; the ordered actions of each detection link can avoid the long-time ineffective actions of a plurality of detection links; through the multi-source data detection, the possible situations when students cross the entrance guard can be accurately classified, so that campus management staff can quickly know specific situations, and corresponding emergency treatment measures can be adopted; especially, when students need rescue when the students cross the entrance guard and are injured due to falling, the corresponding rescue time can be shortened to a great extent.

Description

Intelligent campus dangerous situation sensing method and system based on multi-source data fusion
Technical Field
The invention belongs to the technical field of electric digital data processing, and particularly relates to a smart campus dangerous situation sensing method and system based on multi-source data fusion.
Background
The campus access management system commonly used at present enables the identification function of the access campus to be more diversified, can prevent lawbreakers from crossing the blocking entrance guard, and once the lawbreakers cross the entrance guard, the alarm can sound, and meanwhile, the dangerous signal can be transmitted to the campus terminal through the Internet of things to alarm with the public security platform.
The management system is simple and rough in recognition of dangerous situations, only judges whether students turn over the access control, does not recognize and analyze the imaging behaviors (whether the access control is damaged, whether the students fall down or not, and the like) of the students in the process of turning over the access control, and is not beneficial to rapid emergency treatment of campus management departments.
Therefore, at present, a smart campus hazard situation awareness system, a smart campus hazard situation awareness method and a storage medium based on multi-source data fusion are required to be designed to solve the problems.
Disclosure of Invention
The invention aims to provide a smart campus dangerous situation sensing system, a smart campus dangerous situation sensing method and a storage medium based on multi-source data fusion, which are used for solving the technical problems in the prior art, and the management system at the present stage is simpler and coarser in recognition of dangerous situations, only judges whether students turn over an access control, does not recognize and analyze the imaging behaviors (whether the access control is damaged, whether the students fall down or not and the like) of the students in the process of turning over the access control, and is not beneficial to the rapid emergency treatment of campus management departments.
In order to achieve the above purpose, the technical scheme of the invention is as follows:
the intelligent campus danger situation sensing system based on multi-source data fusion comprises a personnel approaching detection device, a contact pressure-bearing detection device, an abnormal deformation detection device, an infrared detection device, an image detection recognition device, a personnel stay detection device, a medical care alarm device and a control device, wherein the control device is respectively connected with the personnel approaching detection device, the contact pressure-bearing detection device, the abnormal deformation detection device, the infrared detection device, the image detection recognition device, the personnel stay detection device and the medical care alarm device;
the personnel access detection device is used for detecting whether personnel access to the access control equipment exists or not;
the contact pressure-bearing detection device is used for detecting whether the access control equipment is abnormally pressure-bearing;
the abnormal deformation detection device is used for detecting whether the access control equipment is deformed abnormally or not;
the infrared detection device is used for detecting whether personnel are overturned at the top of the access control equipment or not;
the image detection and identification device is used for detecting and identifying whether a falling person exists near the access control equipment;
the personnel stay detection device is used for detecting whether the stay time of the falling personnel is abnormal or not;
the medical alarming device is used for remotely alarming to a campus medical center;
the control device is used for controlling the running states of the personnel approaching detection device, the contact pressure-bearing detection device, the abnormal deformation detection device, the infrared detection device, the image detection and identification device, the personnel stay detection device and the medical care alarm device.
Further, the control device controls the running states of the personnel approaching detection device to be normally open, and controls the running states of the contact pressure-bearing detection device, the abnormal deformation detection device, the infrared detection device, the image detection and identification device, the personnel staying detection device and the medical care alarm device to be normally closed;
when the personnel access detection device detects that personnel access to the access control equipment exists, the control device controls the contact pressure-bearing detection device to be started;
when the contact pressure-bearing detection device detects abnormal pressure bearing of the access control equipment, the control device controls the abnormal deformation detection device and the infrared detection device to be started;
when the infrared detection device detects that a person overturns the top of the access control equipment, the control device controls the image detection and identification device to be started;
when the image detection and identification device detects and identifies that a falling person exists near the access control equipment, the control device controls the person stopping detection device to be started;
when the personnel stay detection device detects that the stay time of the falling personnel is abnormal, the control device controls the medical care alarm device to be started.
Further, the personnel proximity detection device comprises an illuminance sensor, a human body proximity sensor, a first processor and a first memory, wherein the first processor is respectively connected with the first memory, the illuminance sensor, the human body proximity sensor and the control device;
the illuminance sensor is used for detecting real-time illuminance data of the environment where the access control equipment is located;
the human body proximity sensor is used for detecting whether human body proximity access control equipment exists or not;
the first memory is used for storing preset illuminance data of the environment where the access control equipment is located;
the first processor controls the illuminance sensor to be normally open and controls the human body proximity sensor to be normally closed;
when the real-time illuminance data is matched with the preset illuminance data, the first processor controls the human body proximity sensor to be started.
Further, the contact pressure-bearing detection device comprises a pressure sensor matrix, a second processor and a second memory, wherein the second processor is respectively connected with the pressure sensor matrix, the second memory and the control device;
the pressure sensor matrix is used for detecting real-time pressure data born by the shell of the access control equipment;
the second memory is used for detecting preset pressure data born by the equipment forbidden shell;
and the second processor is used for comparing and analyzing the real-time pressure data with the preset pressure data, and if the real-time pressure data and the preset pressure data are matched, the second processor feeds back abnormal pressure bearing of the access control equipment to the control device.
Further, the abnormal deformation detection device comprises a camera matrix, an auxiliary illuminating lamp, a third processor and a third memory, wherein the third processor is respectively connected with the camera matrix, the auxiliary illuminating lamp, the third memory and the control device;
the camera matrix is used for collecting real-time image data of the access control equipment;
the auxiliary illuminating lamp is used for carrying out auxiliary illumination on the access control equipment and adapting to normal actions of the camera matrix;
the third memory is used for storing preset image data of the access control equipment;
and the third processor compares and analyzes the real-time image data with the preset image data, and if the real-time image data and the preset image data are not matched, the third processor feeds back abnormal deformation of the access control equipment to the control device.
Further, the intelligent control device also comprises a voice warning device, and the voice warning device is connected with the control device.
Further, the intelligent terminal comprises a wireless communication device and a mobile intelligent terminal, and the control device is connected with the mobile intelligent terminal through the wireless communication device in a network mode.
The intelligent campus dangerous situation sensing method based on the multi-source data fusion is used for sensing the dangerous situation by adopting the intelligent campus dangerous situation sensing system based on the multi-source data fusion.
A storage medium having stored thereon a computer program which when executed performs a smart campus hazard situation awareness method based on multi-source data fusion as described above.
Compared with the prior art, the invention has the following beneficial effects:
the scheme has the advantages that the personnel approaching detection device, the contact pressure-bearing detection device, the abnormal deformation detection device, the infrared detection device, the image detection and identification device, the personnel stay detection device and the medical care alarm device are orderly matched for starting, so that the identification analysis can be carried out on the imaging behaviors (whether the entrance guard is damaged, whether the entrance guard falls down or not) of students in the entrance guard crossing process, and the rapid emergency treatment of campus management departments is facilitated; the ordered actions of each detection link can avoid the long-time ineffective actions of a plurality of detection links; through the multi-source data detection, the possible situations when students cross the entrance guard can be accurately classified, so that campus management staff can quickly know specific situations, and corresponding emergency treatment measures can be adopted; especially, when students need rescue when the students cross the entrance guard and are injured due to falling, the corresponding rescue time can be shortened to a great extent.
Drawings
Fig. 1 is a schematic system configuration diagram of the embodiment.
Fig. 2 is a schematic diagram of the system operation principle of the embodiment.
Detailed Description
For the purpose of making the technical solution and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings and examples. It should be understood that the particular embodiments described herein are illustrative only and are not intended to limit the invention, i.e., the embodiments described are merely some, but not all, of the embodiments of the invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be made by a person skilled in the art without making any inventive effort, are intended to be within the scope of the present invention. It is noted that relational terms such as "first" and "second", and the like, are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.
Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
As shown in fig. 1, the intelligent campus danger situation sensing system based on multi-source data fusion is provided, and comprises a personnel approaching detection device, a contact pressure detection device, an abnormal deformation detection device, an infrared detection device, an image detection and identification device, a personnel stay detection device, a medical care alarm device and a control device, wherein the control device is respectively connected with the personnel approaching detection device, the contact pressure detection device, the abnormal deformation detection device, the infrared detection device, the image detection and identification device, the personnel stay detection device and the medical care alarm device;
the personnel access detection device is used for detecting whether personnel access to the access control equipment exists or not;
the contact pressure-bearing detection device is used for detecting whether the access control equipment is abnormally pressure-bearing;
the abnormal deformation detection device is used for detecting whether the access control equipment is deformed abnormally or not;
the infrared detection device is used for detecting whether personnel are overturned at the top of the access control equipment or not;
the image detection and identification device is used for detecting and identifying whether a falling person exists near the access control equipment;
the personnel stay detection device is used for detecting whether the stay time of the falling personnel is abnormal or not;
the medical alarming device is used for remotely alarming to a campus medical center;
the control device is used for controlling the running states of the personnel approaching detection device, the contact pressure-bearing detection device, the abnormal deformation detection device, the infrared detection device, the image detection and identification device, the personnel stay detection device and the medical care alarm device.
Further, as shown in fig. 2, the control device controls the operation states of the personnel approaching detection device to be normally open, and controls the operation states of the contact pressure-bearing detection device, the abnormal deformation detection device, the infrared detection device, the image detection recognition device, the personnel stay detection device and the medical care alarm device to be normally closed;
when the personnel access detection device detects that personnel access to the access control equipment exists, the control device controls the contact pressure-bearing detection device to be started;
when the contact pressure-bearing detection device detects abnormal pressure bearing of the access control equipment, a student group which is not contacted with the access control equipment can be eliminated, and the control device controls the abnormal deformation detection device and the infrared detection device to be started;
when the infrared detection device detects that the personnel at the top of the access control equipment are overturned, the student groups which do not overtake the access control equipment can be eliminated, and the control device controls the image detection and identification device to be started;
when the image detection and identification device detects and identifies that a falling person exists near the access control equipment, the non-falling student groups can be eliminated, and the control device controls the person stopping detection device to be started;
when the personnel stay detection device detects that the stay time of the falling personnel is abnormal (a time threshold can be set, and when the stay time of the falling personnel reaches the time threshold, the stay time of the falling personnel is judged to be abnormal and needs rescue), the situation that the falling door is overturned and does not need rescue after falling can be eliminated, and the control device controls the medical care alarm device to be started.
According to the scheme, the personnel approaching detection device, the contact pressure-bearing detection device, the abnormal deformation detection device, the infrared detection device, the image detection and identification device, the personnel stay detection device and the medical care alarm device are orderly matched for starting, so that identification and analysis can be carried out on the imaging behaviors (whether the entrance guard is damaged, whether the entrance guard falls down or not and the like) of students in the entrance guard crossing process, and the rapid emergency treatment of a campus management department is facilitated; the ordered actions of each detection link can avoid the long-time ineffective actions of a plurality of detection links; through the multi-source data detection, the possible situations when students cross the entrance guard can be accurately classified, so that campus management staff can quickly know specific situations, and corresponding emergency treatment measures can be adopted; especially, when students need rescue when the students cross the entrance guard and are injured due to falling, the corresponding rescue time can be shortened to a great extent.
Further, the personnel proximity detection device comprises an illuminance sensor, a human body proximity sensor, a first processor and a first memory, wherein the first processor is respectively connected with the first memory, the illuminance sensor, the human body proximity sensor and the control device;
the illuminance sensor is used for detecting real-time illuminance data of the environment where the access control equipment is located;
the human body proximity sensor is used for detecting whether human body proximity access control equipment exists or not;
the first memory is used for storing preset illuminance data (set according to illuminance at night) of the environment where the access control equipment is located;
the first processor controls the illuminance sensor to be normally open and controls the human body proximity sensor to be normally closed;
when the real-time illuminance data is matched with the preset illuminance data, the first processor controls the human body proximity sensor to be started.
In the scheme, the campus guard is on duty normally in the daytime, and the campus guard may have poor mental state only at night; therefore, the human proximity detection device is designed to be a matching scheme of an illuminance sensor, a human proximity sensor and the like, and the situation can be overcome.
Further, the contact pressure-bearing detection device comprises a pressure sensor matrix, a second processor and a second memory, wherein the second processor is respectively connected with the pressure sensor matrix, the second memory and the control device;
the pressure sensor matrix is used for detecting real-time pressure data born by the shell of the access control equipment;
the second memory is used for detecting preset pressure data (estimated according to the weight of students) born by the shell of the access control equipment;
and the second processor is used for comparing and analyzing the real-time pressure data with the preset pressure data, and if the real-time pressure data and the preset pressure data are matched, the second processor feeds back abnormal pressure bearing of the access control equipment to the control device.
Further, the abnormal deformation detection device comprises a camera matrix, an auxiliary illuminating lamp, a third processor and a third memory, wherein the third processor is respectively connected with the camera matrix, the auxiliary illuminating lamp, the third memory and the control device;
the camera matrix is used for collecting real-time image data of the access control equipment;
the auxiliary illuminating lamp is used for carrying out auxiliary illumination on the access control equipment and adapting to normal actions of the camera matrix;
the third memory is used for storing preset image data (images when the access control equipment is not deformed) of the access control equipment;
and the third processor compares and analyzes the real-time image data with the preset image data, and if the real-time image data and the preset image data are not matched, the third processor feeds back abnormal deformation of the access control equipment to the control device.
Further, the intelligent entrance guard equipment further comprises a voice warning device, wherein the voice warning device is connected with the control device and can be matched with the infrared detection device, the image detection and recognition device, the personnel stay detection device and the like to carry out voice warning to warn a student group who walks over the entrance guard equipment.
Further, the remote data interaction system also comprises a wireless communication device and a mobile intelligent terminal, wherein the control device is connected with the mobile intelligent terminal through the wireless communication device in a network manner, so that remote data interaction can be realized.
The intelligent campus dangerous situation sensing method based on the multi-source data fusion is used for sensing the dangerous situation by adopting the intelligent campus dangerous situation sensing system based on the multi-source data fusion.
A storage medium having stored thereon a computer program which when executed performs a smart campus hazard situation awareness method based on multi-source data fusion as described above.
The above is a preferred embodiment of the present invention, and all changes made according to the technical solution of the present invention belong to the protection scope of the present invention when the generated functional effects do not exceed the scope of the technical solution of the present invention.

Claims (4)

1. The intelligent campus danger situation sensing system based on multi-source data fusion is characterized by comprising a personnel approaching detection device, a contact pressure detection device, an abnormal deformation detection device, an infrared detection device, an image detection and identification device, a personnel stay detection device, a medical care alarm device and a control device, wherein the control device is respectively connected with the personnel approaching detection device, the contact pressure detection device, the abnormal deformation detection device, the infrared detection device, the image detection and identification device, the personnel stay detection device and the medical care alarm device;
the personnel access detection device is used for detecting whether personnel access to the access control equipment exists or not;
the contact pressure-bearing detection device is used for detecting whether the access control equipment is abnormally pressure-bearing;
the abnormal deformation detection device is used for detecting whether the access control equipment is deformed abnormally or not;
the infrared detection device is used for detecting whether personnel are overturned at the top of the access control equipment or not;
the image detection and identification device is used for detecting and identifying whether a falling person exists near the access control equipment;
the personnel stay detection device is used for detecting whether the stay time of the falling personnel is abnormal or not;
the medical alarming device is used for remotely alarming to a campus medical center;
the control device is used for controlling the running states of the personnel approaching detection device, the contact pressure detection device, the abnormal deformation detection device, the infrared detection device, the image detection and identification device, the personnel stay detection device and the medical care alarm device;
the control device controls the running states of the personnel approaching detection device to be normally open, and controls the running states of the contact pressure-bearing detection device, the abnormal deformation detection device, the infrared detection device, the image detection and identification device, the personnel staying detection device and the medical care alarm device to be normally closed;
when the personnel access detection device detects that personnel access to the access control equipment exists, the control device controls the contact pressure-bearing detection device to be started;
when the contact pressure-bearing detection device detects abnormal pressure bearing of the access control equipment, the control device controls the abnormal deformation detection device and the infrared detection device to be started;
when the infrared detection device detects that a person overturns the top of the access control equipment, the control device controls the image detection and identification device to be started;
when the image detection and identification device detects and identifies that a falling person exists near the access control equipment, the control device controls the person stopping detection device to be started;
when the personnel stay detection device detects that the stay time of the falling personnel is abnormal, the control device controls the medical care alarm device to be started;
the personnel proximity detection device comprises an illuminance sensor, a human body proximity sensor, a first processor and a first memory, wherein the first processor is respectively connected with the first memory, the illuminance sensor, the human body proximity sensor and the control device;
the illuminance sensor is used for detecting real-time illuminance data of the environment where the access control equipment is located;
the human body proximity sensor is used for detecting whether human body proximity access control equipment exists or not;
the first memory is used for storing preset illuminance data of the environment where the access control equipment is located;
the first processor controls the illuminance sensor to be normally open and controls the human body proximity sensor to be normally closed;
when the real-time illuminance data is matched with the preset illuminance data, the first processor controls the human body proximity sensor to be started;
the contact pressure-bearing detection device comprises a pressure sensor matrix, a second processor and a second memory, wherein the second processor is respectively connected with the pressure sensor matrix, the second memory and the control device;
the pressure sensor matrix is used for detecting real-time pressure data born by the shell of the access control equipment;
the second memory is used for detecting preset pressure data born by the equipment forbidden shell;
the second processor is used for comparing and analyzing the real-time pressure data with the preset pressure data, and if the real-time pressure data and the preset pressure data are matched, the second processor feeds back abnormal pressure bearing of the access control equipment to the control device;
the abnormal deformation detection device comprises a camera matrix, an auxiliary lighting lamp, a third processor and a third memory, wherein the third processor is respectively connected with the camera matrix, the auxiliary lighting lamp, the third memory and the control device;
the camera matrix is used for collecting real-time image data of the access control equipment;
the auxiliary illuminating lamp is used for carrying out auxiliary illumination on the access control equipment and adapting to normal actions of the camera matrix;
the third memory is used for storing preset image data of the access control equipment;
and the third processor compares and analyzes the real-time image data with the preset image data, and if the real-time image data and the preset image data are not matched, the third processor feeds back abnormal deformation of the access control equipment to the control device.
2. The smart campus hazard situation awareness system based on multi-source data fusion of claim 1, further comprising a voice alert device, the voice alert device being coupled to the control device.
3. The smart campus hazard situation awareness system based on multi-source data fusion of claim 2, further comprising a wireless communication device and a mobile intelligent terminal, wherein the control device is in network connection with the mobile intelligent terminal through the wireless communication device.
4. The intelligent campus dangerous situation sensing method based on multi-source data fusion is characterized in that the intelligent campus dangerous situation sensing system based on multi-source data fusion is adopted to sense dangerous situations according to any one of claims 1-3.
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