Intrusion object determination method and device, and intrusion object monitoring method and equipment
By acquiring and analyzing the position and image information of the objects to be detected around the target device, and combining the data of the radar and image module, the problem of low accuracy in determining intruded objects in the prior art is solved, and higher recognition accuracy is achieved.
Patent Information
- Application Number
- CN202510134667.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-06
- Publication Date
- 2025-05-02
AI Technical Summary
In the prior art, when the physical protection system of the nuclear facility is determined, it is affected by environmental clutter, resulting in low accuracy in determining the intrusion object.
By obtaining the position information of the object to be detected around the target device, determining the distance between the target device and the object to be detected, adjusting the focal length of the image module, collecting the image information of the object to be detected, and determining whether the object to be detected is an intrusion object through the image information.
The accuracy of intruding objects is improved, and compared with the method that only relies on position information, combining the information of radar and image modules, the recognition ability of the detection objects is enhanced.
Smart Images

Figure CN119920048A_ABST
Abstract
Description
Technical Field
[0001] The present application belongs to the field of intrusion detection technology, and specifically relates to a method and device for determining an intrusion object, and a method and device for monitoring an intrusion object. Background Art
[0002] A physical protection system is a comprehensive security system designed to protect physical assets, facilities, personnel, and information from unauthorized access, sabotage, or other malicious acts.
[0003] Take the physical protection system of nuclear facilities as an example. It is a comprehensive security protection system designed and implemented specifically for nuclear facilities. It aims to prevent nuclear materials and nuclear facilities from being damaged to ensure safety. Since nuclear materials are radioactive and have potential military uses, their safety is of vital importance.
[0004] In order to improve the safety of the physical protection system of nuclear facilities, it is necessary to determine the intrusion object of the protection perimeter in the physical protection system of nuclear facilities. In the prior art, perimeter protection equipment such as infrared and laser are usually used to obtain the position information of the object to be detected, and then the intrusion object of the protection perimeter is determined only by the position information. However, these perimeter protection devices are affected by environmental clutter, and the accuracy of intrusion object determination is low. Summary of the invention
[0005] The technical problem to be solved by the present application is to provide a method and device for determining an intrusion object, and a method and equipment for monitoring an intrusion object in view of the above-mentioned deficiencies in the prior art. By using the method for determining an intrusion object, the accuracy of determining the intrusion object can be improved.
[0006] In a first aspect, an embodiment of the present application provides a method for determining an intrusion object, including:
[0007] Acquire first position information of an object to be detected around the target device;
[0008] Determine a first target distance between the target device and the object to be detected according to the first position information;
[0009] Acquiring image information of the object to be detected according to the first target distance;
[0010] According to the image information to be detected, determine whether the object to be detected is an intrusion object.
[0011] In some implementations of the first aspect, obtaining first position information of an object to be detected around a target device includes:
[0012] Acquire first position information of an object to be detected around the target device through a radar module;
[0013] The radar module includes at least one of a microwave radiation detector, a laser radiation detector, an active infrared detector, an outdoor dual-detection detector, a passive infrared detector and a laser scanning detector.
[0014] In some implementations of the first aspect, acquiring image information to be detected of the object to be detected according to the first target distance includes:
[0015] According to the first target distance, the focal length of the image module is adjusted to collect the image information to be detected of the object to be detected through the image module.
[0016] In some implementations of the first aspect, adjusting the focal length of the image module according to the first target distance includes:
[0017] When the first target distance is greater than a preset distance range, increasing the focal length of the image module;
[0018] or,
[0019] When the first target distance is less than or equal to the preset distance range, the focal length of the image module is reduced.
[0020] In some implementations of the first aspect, determining whether the object to be detected is an intrusion object according to the image information to be detected includes:
[0021] Acquire an intrusion object image information set, where the intrusion object image information set includes at least one intrusion object image information;
[0022] In the case that there is no intrusion object image information corresponding to the image information of the object to be detected in the intrusion object image information set, determining that the object to be detected is not an intrusion object;
[0023] or,
[0024] When the intrusion object image information set includes intrusion object image information corresponding to the image information of the object to be detected, the object to be detected is determined to be an intrusion object.
[0025] Based on the same inventive concept, in a second aspect, the embodiment of the present application further provides an intrusion object monitoring method, comprising:
[0026] According to the intrusion object detection method of the first aspect, determining whether the object to be detected is an intrusion object;
[0027] In the case where the object to be detected is an intrusion object, generating alarm information according to the first position information and the second position information of the preset warning area, the alarm information is used to indicate that the object to be detected is in the preset warning area;
[0028] Output warning information.
[0029] In some implementations of the second aspect, generating warning information according to the first location information and second location information of a preset warning area includes:
[0030] Determining a second target distance between the object to be detected and the preset warning area according to the first position information and the second position information of the preset warning area;
[0031] When the second target distance is greater than a preset distance threshold, a warning message is generated.
[0032] In some implementations of the first aspect, outputting the warning information includes:
[0033] Displaying warning information on the display interface of the target device;
[0034] and / or,
[0035] Output alarm information to the switch quantity module so that the alarm platform connected to the switch quantity module outputs the alarm information.
[0036] In some implementations of the first aspect, when it is determined that the object to be detected is an intrusion object, the method further includes:
[0037] Marking the object to be detected according to the image information to be detected and the first position information;
[0038] Tracking the object to be detected to obtain a target type attribute of the object to be detected, where the target type attribute includes at least one of current position information, moving direction, and moving speed;
[0039] The target type attribute is displayed on the display interface of the target device.
[0040] Based on the same inventive concept, in a third aspect, an embodiment of the present application further provides an intrusion object determination device, including:
[0041] A first acquisition unit, used to acquire first position information of an object to be detected around a target device;
[0042] A first determining unit, connected to the first acquiring unit, and configured to determine a first target distance between the target device and the object to be detected according to the first position information;
[0043] A second acquisition unit, connected to the first determination unit, is used to acquire the image information to be detected of the object to be detected according to the first target distance;
[0044] The second determination unit is connected to the second acquisition unit, and is used to determine whether the object to be detected is an intrusion object according to the image information to be detected.
[0045] In some implementations of the third aspect, the first acquisition unit is specifically configured to:
[0046] Acquire first position information of an object to be detected around the target device through a radar module;
[0047] The radar module includes at least one of a microwave radiation detector, a laser radiation detector, an active infrared detector, an outdoor dual-detection detector, a passive infrared detector and a laser scanning detector.
[0048] In some implementations of the third aspect, the second acquisition unit is specifically configured to:
[0049] According to the first target distance, the focal length of the image module is adjusted to collect the image information to be detected of the object to be detected through the image module.
[0050] In some implementations of the third aspect, the second determining unit is specifically configured to:
[0051] Acquire an intrusion object image information set, where the intrusion object image information set includes at least one intrusion object image information;
[0052] In the case that there is no intrusion object image information corresponding to the image information of the object to be detected in the intrusion object image information set, determining that the object to be detected is not an intrusion object;
[0053] or,
[0054] When the intrusion object image information set includes intrusion object image information corresponding to the image information of the object to be detected, the object to be detected is determined to be an intrusion object.
[0055] Based on the same inventive concept, in a fourth aspect, an embodiment of the present application provides an intrusion object monitoring device, including:
[0056] The intrusion object monitoring device of any one of the third aspects is used to determine whether the object to be detected is an intrusion object;
[0057] A generating module connected to the intrusion object determining device, and used to generate warning information according to the first position information and the second position information of the preset warning area when the object to be detected is an intrusion object, wherein the warning information is used to indicate that the object to be detected is within the preset warning area;
[0058] The output module is connected with the generation module and is used to output the alarm information.
[0059] In some embodiments of the fourth aspect, the intrusion object monitoring device further includes
[0060] The intrusion object monitoring device also includes a protection device; the protection device is a chassis;
[0061] The intrusion object determination device, the generation module, and the output module are respectively loaded in the chassis;
[0062] The chassis is made of stainless steel;
[0063] The outer shell of the chassis and the interior of the chassis are formed into a metal shielding shell by winding a metal film.
[0064] According to the intrusion object determination method and device, and the intrusion object monitoring method and equipment provided by the embodiments of the present application, the first position information of the object to be detected around the target device is first obtained, and then the first target distance between the target device and the object to be detected is determined based on the first position information, and then the image information to be detected of the object to be detected is obtained based on the first target distance, and then the image information to be detected is determined to determine whether the object to be detected is an intrusion object. In the above-mentioned intrusion object determination process, by comprehensively considering the first position information and the image information to be detected of the object to be detected, it is determined whether the object to be detected is an intrusion object. Compared with the prior art that only considers the first position information of the object to be detected to determine whether the object to be detected is an intrusion object, the accuracy of the intrusion object determination can be improved. BRIEF DESCRIPTION OF THE DRAWINGS
[0065] Figure 1 A schematic diagram showing a flow chart of a method for determining an intrusion target provided by an embodiment of the present application;
[0066] Figure 2 A schematic diagram showing the structure of an electronic device provided in an embodiment of the present application is shown;
[0067] Figure 3 A bottom view provided by an embodiment of the present application is shown;
[0068] Figure 4 A rear view of the intrusion object monitoring device provided by an embodiment of the present application is shown;
[0069] Figure 5 A front view of an intrusion object monitoring device provided by an embodiment of the present application is shown;
[0070] Figure 6 A left view of an intrusion object monitoring device provided by an embodiment of the present application is shown;
[0071] Figure 7 A top view of an intrusion object monitoring device provided by an embodiment of the present application is shown;
[0072] Figure 8 A schematic diagram showing a software system architecture of an intrusion object monitoring device provided in an embodiment of the present application;
[0073] Fig. 9 A schematic diagram showing a principle of a radar data access module provided in an embodiment of the present application is shown. DETAILED DESCRIPTION
[0074] In order to enable those skilled in the art to better understand the technical solution of the present application, the present application is further described in detail below with reference to the accompanying drawings and embodiments.
[0075] The features and exemplary embodiments of various aspects of the present application will be described in detail below. In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only configured to explain the present application and are not configured to limit the present application. For those skilled in the art, the present application can be implemented without the need for some of these specific details. The following description of the embodiments is only to provide a better understanding of the present application by illustrating the examples of the present application.
[0076] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the statement "include..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.
[0077] It should be understood that the term "and / or" used in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.
[0078] Example 1
[0079] The intrusion object determination method provided in the embodiment of the present application can be applied to the process of determining the intrusion object of the protection perimeter by the physical protection system of a nuclear facility, and can be executed by an intrusion object determination device and electronic equipment, etc. The following takes the intrusion object determination method executed by an electronic equipment as an example for explanation.
[0080] like Figure 1 As shown, the intrusion object determination method provided in the embodiment of the present application may include steps S110 to S140.
[0081] S110: Acquire first position information of an object to be detected around the target device.
[0082] S120: Determine a first target distance between the target device and the object to be detected according to the first position information.
[0083] S130. Acquire image information of the object to be detected according to the first target distance.
[0084] S140: Determine whether the object to be detected is an intrusion object according to the image information to be detected.
[0085] According to the intrusion object determination method provided by the embodiment of the present application, the first position information of the object to be detected around the target device is first obtained, and then the first target distance between the target device and the object to be detected is determined based on the first position information, and then the image information to be detected of the object to be detected is obtained based on the first target distance, and then the image information to be detected is determined whether the object to be detected is an intrusion object. In the above-mentioned intrusion object determination process, by comprehensively considering the first position information and the image information to be detected of the object to be detected, it is determined whether the object to be detected is an intrusion object. Compared with the prior art that only considers the first position information of the object to be detected to determine whether the object to be detected is an intrusion object, the accuracy of intrusion object determination can be improved.
[0086] The specific implementation methods of the above steps are introduced below.
[0087] In step S110 , the target device may be any device in the physical protection system.
[0088] Exemplarily, the objects to be detected may be objects around the target device, such as animals such as birds, vehicles, and people.
[0089] Exemplarily, the first location information may include latitude and longitude information of the object to be detected.
[0090] For example, Figure 2 As shown, the electronic device in the embodiment of the present application may include a radar module, a computing module, an image processing module, an image module and a switch module. The computing module is respectively connected to the radar module, the switch module, the image processing module and the image module, and the image processing module is also connected to the image module. The specific functions of each module will be described below.
[0091] Among them, the radar module is a hardware device that detects targets by sending and receiving electromagnetic waves. Its main function is to detect "suspicious" targets (i.e., objects to be detected) within a large range.
[0092] In some implementations, obtaining first position information of an object to be detected around a target device includes:
[0093] Acquire first position information of an object to be detected around the target device through a radar module;
[0094] The radar module includes at least one of a microwave radiation detector, a laser radiation detector, an active infrared detector, an outdoor dual-detection detector, a passive infrared detector and a laser scanning detector.
[0095] In this embodiment, the radar module utilizes the reflection phenomenon of the object to be detected to electromagnetic waves, and can accurately detect the first position information of the object to be detected.
[0096] As an example, the radar module includes a microwave radiation detector; as another example, the radar module includes a laser radiation detector and an active infrared detector; as yet another example, the radar module includes an outdoor dual-detection detector, a passive infrared detector, and a laser scanning detector.
[0097] In step S120, after acquiring the first position information of the object to be detected around the target device, the electronic device may also determine a first target distance between the target device and the object to be detected according to the first position information.
[0098] Exemplarily, the electronic device may pre-store the latitude and longitude information of the target device, and then determine the first target distance between the target device and the object to be detected according to the latitude and longitude information of the object to be detected and the latitude and longitude information of the target device.
[0099] In step S130, after the electronic device determines the first target distance between the target device and the object to be detected according to the first position information, it can also obtain the image information to be detected of the object to be detected according to the first target distance.
[0100] In some implementations, acquiring the image information of the object to be detected according to the first target distance includes:
[0101] According to the first target distance, the focal length of the image module is adjusted to collect the image information to be detected of the object to be detected through the image module.
[0102] In this implementation, by adjusting the focal length of the image module according to the first target distance, the image information to be detected of the object to be detected can be better collected through the image module.
[0103] Exemplarily, the image module may include a camera.
[0104] Exemplarily, the image module can be a hardware device for imaging the object to be detected. When the radar module finds a "suspicious" target (i.e., the object to be detected), the computing module controls the focal length of the image module according to the first target distance, and then obtains the image information of the object to be detected as clearly as possible and outputs it to the image processing module.
[0105] In some examples, adjusting the focal length of the image module according to the first target distance includes:
[0106] When the first target distance is greater than a preset distance range, increasing the focal length of the image module;
[0107] or,
[0108] When the first target distance is less than or equal to the preset distance range, the focal length of the image module is reduced.
[0109] In this embodiment, the image information to be detected of the object to be detected can be obtained more clearly through the above method.
[0110] For example, the preset distance range may be the range of the distance between the target device and the pre-defined warning area. The value range of the preset distance range may be pre-set in the electronic device according to actual conditions and is not limited here. For example, the value range of the preset distance range may be [5m, 10m].
[0111] That is to say, when the first target distance is greater than the preset distance range, the electronic device will automatically increase the focal length of the image module to narrow the viewing angle; when the first target distance is less than or equal to the preset distance range, the electronic device will automatically reduce the focal length of the image module to widen the viewing angle.
[0112] In step S140, after acquiring the image information of the object to be detected according to the first target distance, the electronic device may also determine whether the object to be detected is an intrusion object according to the image information.
[0113] In some embodiments, the image information to be detected can be input into a pre-trained type recognition model to obtain the target type corresponding to the image information to be detected, and the target type may include one of animals, people and vehicles; when the target type is a preset type, the object to be detected is determined to be an intrusion object; when the target type is not a preset type, the object to be detected is determined not to be an intrusion object. Exemplarily, the preset type may be one of people and vehicles. A plurality of training samples may be used for training to obtain a type recognition model, each training sample including training image information and its corresponding type.
[0114] In other implementations, determining whether the object to be detected is an intrusion object according to the image information to be detected includes:
[0115] Acquire an intrusion object image information set, where the intrusion object image information set includes at least one intrusion object image information;
[0116] In the case that there is no intrusion object image information corresponding to the image information of the object to be detected in the intrusion object image information set, determining that the object to be detected is not an intrusion object;
[0117] or,
[0118] When the intrusion object image information set includes intrusion object image information corresponding to the image information of the object to be detected, the object to be detected is determined to be an intrusion object.
[0119] In this embodiment, by comparing all the intrusion object image information in the intrusion object image information set with the image information of the object to be detected, it is possible to accurately determine whether the object to be detected is an intrusion object.
[0120] Exemplarily, the intrusion object image information set includes at least one intrusion object image information, and the intrusion object image information may be image information of an intrusion object such as a person or a vehicle. For example, the intrusion object image information may be the whole body of a person, or partial image information with landmarks such as a face; for another example, the intrusion object image information may be the whole body of a vehicle, or partial image information with landmarks such as a license plate number.
[0121] Exemplarily, the intrusion object image information corresponding to the image information of the object to be detected may be the intrusion object image information whose similarity with the image information of the object to be detected is higher than the similarity threshold. The similarity threshold may be set according to actual conditions and is not limited here. For example, the similarity threshold may be 85%, 90%, 95%, etc.
[0122] For example, the intrusion object image information set can be manually collected and pre-stored in the electronic device for subsequent direct call. Alternatively, the intrusion object image information set can also be obtained by inputting through the electronic device interface.
[0123] That is to say, the computing module is the core module of the electronic device. It first accesses the target data (i.e., the first position information and the image information to be detected) output by the radar module and the image processing module, and then determines the authenticity of the "suspicious" target through the three-dimensional defense intelligent fusion algorithm (i.e., the algorithm in step S140). In addition, the computing module can also send a focus control instruction to the image module according to the first target distance and the designated warning area to control the image module to adjust the focus.
[0124] It should be noted that, in the embodiment of the present application, composite detection technology is used, that is, the intelligent field-type intrusion detector (i.e., electronic device) mainly includes two detection modules, namely, radar module and image module. Wherein the radar module uses the reflection phenomenon of electromagnetic waves by the target to accurately detect the distance and orientation of the target from the device, but it is greatly affected by the environmental clutter and is prone to false alarms. For example, the object to be detected identified by the radar module may be disturbed by small animals and bad weather. The image module mainly collects the image data of the target through the camera, and then detects, tracks, and identifies the type (people, cars, animals) of the target in the image through image algorithms and deep learning techniques. Then, the radar target (i.e., the object to be detected) and the image target (i.e., the object to be detected) are distinguished by the three-dimensional defense intelligent fusion algorithm to determine whether the same target is specified, so as to achieve the purpose of filtering false targets and accurately locating real targets, so as to achieve the overall detection capability of the equipment is high, the detection data is accurate, the false alarm rate is low, and the environmental adaptability is strong.
[0125] Example 2
[0126] The intrusion object monitoring method provided in the embodiment of the present application can be applied to the process of the physical protection system of nuclear facilities performing intrusion object monitoring on the protection perimeter, and can be executed by an intrusion object monitoring device and electronic equipment, etc. The following takes the intrusion object monitoring method executed by an electronic device as an example for explanation.
[0127] The intrusion object monitoring method provided in the embodiment of the present application includes steps S210 to S230.
[0128] S210. According to any intrusion object detection method in Embodiment 1, determine whether the object to be detected is an intrusion object.
[0129] S220: In the case where the object to be detected is an intrusion object, generate warning information according to the first position information and the second position information of the preset warning area, where the warning information is used to indicate that the object to be detected is in the preset warning area.
[0130] S230: Output warning information.
[0131] According to the intrusion object monitoring method provided in the embodiments of the present application, first, any intrusion object detection method in Example 1 is used to determine whether the object to be detected is an intrusion object. Then, if the object to be detected is an intrusion object, alarm information is generated based on the first position information and the second position information of the preset warning area. The alarm information is then output to timely warn the object to be detected, thereby enabling timely and effective monitoring of the intrusion object.
[0132] The specific implementation methods of the above steps are introduced below.
[0133] The specific implementation process of step S210 can be found in Example 1 and will not be described in detail here.
[0134] In step S220, in some embodiments, generating warning information according to the first location information and the second location information of the preset warning area includes:
[0135] Determining a second target distance between the object to be detected and the preset warning area according to the first position information and the second position information of the preset warning area;
[0136] When the second target distance is greater than a preset distance threshold, an alarm message is generated.
[0137] In this embodiment, the second target distance between the object to be detected and the preset warning area is determined based on the first position information and the second position information of the preset warning area, and the alarm information is generated only when the second target distance is greater than the preset distance threshold, which can save resources.
[0138] Exemplarily, the preset warning area and the preset distance threshold may be pre-set in the electronic device based on experience, and may be set according to actual conditions, which are not limited here.
[0139] Exemplarily, the warning information can be set according to the actual situation, and is not limited here. For example, the warning information can be "An object has entered the preset warning area" or "You have entered the preset warning area, please leave immediately", etc.
[0140] It should be noted that, when the second target distance is less than or equal to the preset distance threshold, or when the object to be detected is not an intrusion object, the second position information and its corresponding time are stored to record the event.
[0141] In step S230, in some implementations, outputting warning information includes:
[0142] Displaying warning information on the display interface of the target device;
[0143] and / or,
[0144] Output alarm information to the switch quantity module so that the alarm platform connected to the switch quantity module outputs alarm information.
[0145] In this embodiment, by outputting the alarm information, the staff can be reminded in time that someone has entered the preset warning area, and / or the object to be detected can be reminded to leave immediately after entering the preset warning area.
[0146] Exemplarily, the switch quantity module is an auxiliary module of the electronic device, and its main function is to convert the alarm information into a switch quantity signal and output it to the existing warning platform.
[0147] That is to say, the calculation module can also determine whether the object to be detected reaches the warning threshold (i.e., the preset distance threshold) based on the second target distance and the preset warning area, generate an alarm message for the object to be detected that reaches the warning threshold, and display the alarm message on the device display interface in real time, and at the same time send instructions to the switch quantity module, and output the warning message to the existing warning platform through the switch quantity module.
[0148] In some embodiments, when it is determined that the object to be detected is an intrusion object, the method further includes:
[0149] Marking the object to be detected according to the image information to be detected and the first position information;
[0150] Tracking the object to be detected to obtain a target type attribute of the object to be detected, where the target type attribute includes at least one of current position information, moving direction, and moving speed;
[0151] The target type attribute is displayed on the display interface of the target device.
[0152] In this embodiment, the target type attributes are displayed on the display interface of the target device so that the staff can further understand the target type attributes of the object to be detected in time.
[0153] Exemplarily, the image processing module can detect, track, and identify the imaging data of the image module (i.e., the image information to be detected), that is, through data processing, the content in the image data is analyzed, and combined with the radar module, the object to be detected is marked and the position of the object to be detected is tracked. Among them, the image processing device is an independently operated computing operation unit that integrates machine learning technology, AI technology, and image processing technology.
[0154] It should be noted that the intrusion object monitoring method provided in the embodiment of the present application has radar fusion optoelectronic technology, which complement and verify each other, maximize the advantages of multiple sensors, and can achieve the effect of automatically discovering intrusion targets and detecting and identifying the attributes of intrusion targets.
[0155] The intrusion object monitoring method provided in the embodiment of the present application includes an intrusion object determination method, that is, it has the beneficial effects and implementation methods of the intrusion object determination method provided in Example 1 of the present application. For details, please refer to the specific description of the intrusion object determination method in the above Example 1, which will not be repeated in this embodiment.
[0156] Example 3
[0157] The embodiment of the present application provides an intrusion object determination device, which may include:
[0158] A first acquisition unit, used to acquire first position information of an object to be detected around a target device;
[0159] A first determining unit, connected to the first acquiring unit, and configured to determine a first target distance between the target device and the object to be detected according to the first position information;
[0160] A second acquisition unit, connected to the first determination unit, is used to acquire the image information to be detected of the object to be detected according to the first target distance;
[0161] The second determination unit is connected to the second acquisition unit, and is used to determine whether the object to be detected is an intrusion object according to the image information to be detected.
[0162] In some implementations, the first acquisition unit is specifically configured to:
[0163] Acquire first position information of an object to be detected around the target device through a radar module;
[0164] The radar module includes at least one of a microwave radiation detector, a laser radiation detector, an active infrared detector, an outdoor dual-detection detector, a passive infrared detector and a laser scanning detector.
[0165] In some implementations, the second acquisition unit is specifically configured to:
[0166] According to the first target distance, the focal length of the image module is adjusted to collect the image information to be detected of the object to be detected through the image module.
[0167] In some implementations, the second acquisition unit is specifically configured to:
[0168] When the first target distance is greater than a preset distance range, increasing the focal length of the image module;
[0169] or,
[0170] When the first target distance is less than or equal to the preset distance range, the focal length of the image module is reduced.
[0171] In some implementations, the second determining unit is specifically configured to:
[0172] Acquire an intrusion object image information set, where the intrusion object image information set includes at least one intrusion object image information;
[0173] In the case that there is no intrusion object image information corresponding to the image information of the object to be detected in the intrusion object image information set, determining that the object to be detected is not an intrusion object;
[0174] or,
[0175] When the intrusion object image information set includes intrusion object image information corresponding to the image information of the object to be detected, the object to be detected is determined to be an intrusion object.
[0176] The intrusion object determination device provided in the embodiment of the present application can be used to execute the intrusion object determination method, that is, it has the beneficial effects and implementation methods of the intrusion object determination method provided in Example 1 of the present application. For details, please refer to the specific description of the intrusion object determination method in the above Example 1, which will not be repeated in this embodiment.
[0177] Example 4
[0178] The present application also provides an intrusion object monitoring device, which includes:
[0179] The intrusion object determination device as in any one of Embodiment 3 is used to determine whether the object to be detected is an intrusion object;
[0180] A generating module connected to the intrusion object determining device, and used to generate warning information according to the first position information and the second position information of the preset warning area when the object to be detected is an intrusion object, wherein the warning information is used to indicate that the object to be detected is within the preset warning area;
[0181] The output module is connected with the generation module and is used to output the alarm information.
[0182] In some embodiments, the intrusion object monitoring device further includes a protection device; the protection device is a chassis;
[0183] The intrusion object determination device, the generation module, and the output module are respectively loaded in the chassis;
[0184] The chassis is made of stainless steel;
[0185] The outer shell of the chassis and the interior of the chassis are formed into a metal shielding shell by winding a metal film.
[0186] For example, the intrusion object monitoring equipment has an IP66 protection level in its structural design, and can provide real-time protection 24 hours a day, 7 days a week in severe weather such as rain, snow, haze, and dust.
[0187] For example, the chassis of this device (i.e., intrusion object monitoring device) is designed in structure and function to meet the requirements of normal operation outdoors in natural environment and provide a safe and stable operating environment for the device. The main performance and characteristics of the chassis of this device are protection and isolation functions. In order to effectively prevent the influence of dust, humidity, vibration, external interference and other factors in the external environment and protect the internal equipment, the selection of equipment chassis materials is particularly important. After comparing multiple materials, the chassis of this device is finally made of stainless steel. In addition to being shockproof, waterproof, and dustproof, it also has the characteristics of corrosion resistance and friction resistance. In this way, the stability and reliability of the equipment are first ensured from the material of the equipment chassis.
[0188] For example, since the device involves a large number of electronic circuits and circuit boards, how to effectively prevent the interference of the circuit bracket from affecting the performance of the device is another major issue in the design of the device. For this purpose, a variety of electromagnetic shielding function measures are taken to prevent interference between electronic circuits inside the device and to protect internal devices from external electromagnetic radiation interference. First, the chassis is made of stainless steel and has an electromagnetic shielding function to achieve an effective shielding effect. The outer shell and the interior of the chassis are designed and processed by winding a metal film to form a continuous metal shielding shell, which can effectively block the entry of external electromagnetic radiation. For example, the outer shell of the chassis and the intrusion object determination device, generation module and output module inside the chassis are all formed into a metal shielding shell by winding a metal film. Secondly, the target component inside the chassis is wrapped with a conductive material or a shielding layer, and the target component includes at least one of a connecting cable, an interface and a switch. That is, the components such as the connecting cables, interfaces and switches inside the chassis are all metallized and wrapped with conductive materials or shielding layers. This can reduce electromagnetic leakage and radiation and prevent mutual interference between internal devices. The device box with electromagnetic shielding function also adopts protective measures, such as a protective cover. These devices can block the spread of electromagnetic radiation, control the impact of external interference sources, and ensure the stability and accuracy of the equipment during operation. The chassis is designed with electromagnetic shielding standards and specifications in mind, meeting the requirements of electromagnetic compatibility (EMC). Through reasonable construction and layout, electromagnetic leakage and interference are reduced to ensure the normal operation of the equipment in an electromagnetic environment. Reduce the impact of electromagnetic radiation inside and outside the equipment on internal electronic devices.
[0189] For example, metal material is used for the device casing (i.e., the chassis casing), which not only provides the chassis with a solid mechanical support structure, but also has good thermal conductivity. Even if a metal casing has excellent thermal conductivity, the device still generates a lot of heat due to the large number of electronic modules integrated into the device, in order to effectively improve the device's heat dissipation capacity.
[0190] In some embodiments, the housing interface of the chassis has a double-layer embedded groove.
[0191] For example, the chassis of this device adopts embedded sealing treatment in terms of rain and moisture-proof design. The embedded sealing design concept is adopted at the interface of the device shell (that is, the shell interface of the chassis), that is, a double-layer embedded groove design is made at the interface of the device shell. The embedded groove does not affect the appearance of the device and maintains the consistency of the appearance. The groove treatment is made for the installation of sealing strips. Since there is enough space in the groove, sealant can be applied first when installing the sealing strip. This not only achieves a natural and beautiful appearance, but also meets the design requirements of rain and moisture resistance. After testing, the rain and moisture resistance of this device can reach IP66.
[0192] In some embodiments, the intrusion object monitoring device further includes a heat sink and a temperature control switch;
[0193] The heat dissipation device is connected to a temperature control switch, and the temperature control switch is used to control the heat dissipation device to be turned on or off.
[0194] Exemplarily, the heat dissipation device may be a heat dissipation fan, and the temperature control switch is used to control the heat dissipation fan to be turned on or off.
[0195] It should be noted that the heat dissipation device and the temperature control switch are both arranged in the chassis.
[0196] For example, during the use of the device, since it integrates multiple electronic modules such as radar modules, computing modules, image modules, and switch modules, these modules will generate a lot of heat during operation. How to quickly discharge the heat in a limited and compact volume and cool the device is a key issue in the design of this device. A cooling fan and a temperature control switch are installed inside the device, and an aluminum heat sink is installed outside the device. The cooling fan is designed to avoid local concentration of heat inside the device, quickly disperse the large amount of heat generated locally inside the device, and avoid local high temperature causing abnormal functions of certain electronic products. The temperature control switch is used to control the switch of the cooling fan. The cooling fan is turned on when the temperature control switch senses that the temperature inside the device is higher than the preset temperature, otherwise it will not start. Due to the limited service life of the cooling fan, the installation of a temperature control switch can effectively extend the life of the fan.
[0197] Exemplarily, the intrusion object monitoring device also includes a control device, which is an industrial computer, and the industrial computer is arranged inside a chassis; the heat dissipation device also includes an aluminum heat sink, and the aluminum heat sink is arranged on the top of the chassis shell; the aluminum heat sink and the industrial computer are respectively close to the chassis shell, and thermal conductive silicone grease is evenly applied between the aluminum heat sink and the chassis shell.
[0198] For example, the full name of IPC is industrial control computer, which is a computer system designed specifically for industrial environment and can be used for data collection, equipment control and process monitoring in industrial sites.
[0199] For example, an aluminum heat sink is installed on the top of the device casing (i.e., the casing of the chassis), and an industrial computer with higher heat dissipation is placed on the inner side of the top of the device casing. The aluminum heat sink and the industrial computer are both close to the device casing. At the same time, in order to better conduct heat, thermal grease is evenly applied between the heat sink and the casing, which is more conducive to heat conduction.
[0200] In some embodiments, the intrusion object monitoring device also includes a waterproof device, which is a rain cover; the rain cover is arranged on the top of the chassis shell, the projection of the rain cover on the ground is larger than the projection of the chassis shell on the ground, and one side of the rain cover is in an elliptical arc shape.
[0201] For example, in the design of the device's appearance, a rain cover is installed on the upper part of the device's chassis shell. The front end of the rain cover protrudes from the chassis shell and is hung above the chassis shell in an elliptical arc shape, which increases the beauty of the chassis while ensuring waterproof and rainproof performance.
[0202] Exemplarily, an aluminum heat sink is disposed between the top of the chassis housing and the rain cover.
[0203] In some examples, the interface of the chassis shell adopts a bundled cable design. The interface of the chassis shell adopts a bundled cable design, which uses shielding measures to bundle cables of different specifications and materials into one cable, and the connection points are divided into power connection interfaces and communication connection interfaces, which is convenient for wiring, compact and beautiful, and convenient for equipment maintenance and debugging.
[0204] In some examples, the chassis is equipped with a locking mechanism and a safety switch. In order to improve the safety and standardized management of the equipment, in addition to the use of stainless steel materials that are not easily damaged, the chassis is also equipped with a locking mechanism and a safety switch. In the event of damage or forced demolition of the chassis, the safety switch will send an alarm signal, which can facilitate timely processing by the staff. At the same time, management components and card slots are provided inside the device to facilitate remote monitoring, configuration and maintenance of the chassis. The management design of these two chassis plays an important role in protecting the equipment chassis and optimizing performance in the field environment, ensuring the stability and reliability of the equipment working in the field.
[0205] For example, Figures 3 to 7 Schematic diagram showing different viewing angles of the intrusion object monitoring device. The wire holes are cut on the side of the back cover of the chassis. Figure 3 The back cover welding thread plate, anti-tamper switch support plate welding position and support frame position points are as shown in Figure 4 As shown, the back cover welding thread plate is retracted 3 mm, 26 M4 through-hole threads are welded, and the support frame position is spot welded firmly. Figure 5As shown, 12 internal threaded studs M4*25 with a total length of not less than 8 mm are welded in the front panel box, and the studs correspond to the holes of the radar pressure plate; the aluminum heat sink is welded to the outer shell to ensure that the top surface is flat and convenient for installing the aluminum heat sink; the outer cover is processed with 0.3-0.5 mm 304 stainless steel, and the 8 holes on both sides correspond to the welding nuts for assembly; 8 M4 nuts are welded in the box on the front panel, and the nuts without holes correspond to the holes of the lens cover pressure plate; the welding position of the middle support frame is as shown Figure 5 As shown. Figure 6 As shown, the rear cover is installed with a threaded frame, which is retracted 3 mm. Four M4 nuts are welded on both sides of the box body to install the outer cover, corresponding to the outer cover installation holes. The positions of the outer cover, the middle support frame and the camera bracket are as shown in Figure 6 As shown in the figure, the camera bracket position spot welding is sufficient. The top view of the intrusion object monitoring device is as follows Figure 7 shown.
[0206] For example, the main body of the chassis is made of 0.8-1 mm 304 stainless steel, the outer cover is made of 0.3-0.5 mm, and 26 nuts can be installed in the corresponding threaded holes of the back cover, and 1 mm 304 stainless steel brushed plate is used to ensure the thread strength.
[0207] It should be noted that the intrusion object monitoring device provided in the embodiment of the present application is simple to install and easy to operate. In view of the problem that the currently commonly used perimeter defense equipment needs to be accurately calibrated during installation, the single device of the intelligent field-type intrusion detector (i.e., the intrusion object monitoring device) operates independently, and the electronic fence technology is used in the business area (only needs to be included in the detection range of the device) to reduce the complexity of equipment installation. The device operation interface uses B / S mode technology, and the host computer does not need to install a specific client, only a specified page browser is required; in addition, the configuration items of the device are few and simple, and the user does not need to perform complex operations to use the device. In addition, the device supports the configuration of multiple devices at one time by using the data display and management platform, which greatly simplifies the user's operation.
[0208] It can be understood that the intelligent field intrusion detector (i.e., intrusion object monitoring device) is a composite detection device that integrates the "advantages" of effective data from multiple detection modules to achieve the purpose of reducing the false alarm rate; the entire system uses the B / S mode, and all data calculation, data conversion, equipment configuration and other functions are concentrated in the computing module, thereby achieving the purpose of simplifying the operation of the upper computer; by adding a switch quantity module, it achieves compatibility with the existing warning platform.
[0209] For example, Figure 8 Schematic diagram of the software system architecture of the intrusion object monitoring device provided in the embodiment of the present application. Figure 8As shown in the figure, the intrusion object monitoring device is a composite detection device, and its software system must be able to access the data of each detection module in real time and ensure the integrity of the data. For application systems with high requirements for real-time and data integrity, a data cache middleware module is first designed on the framework. Its main function is to cache the accessed data first to avoid packet loss caused by the data access module due to the complexity of the processing flow. In software design, each functional module must meet the design requirements of "high cohesion" within the module and "low coupling" with other modules. Then the data cache middleware serves as the "data temporary storage area" of all functional modules, effectively "isolating" the coupling between functional modules.
[0210] Below Figure 8 The functions and roles of each small module in the software system are explained one by one:
[0211] 1. OS, namely operating system, is the host system of its application system. The intelligent field intrusion detector software uses Linux operating system as its host system to meet the needs of 7*24 hours uninterrupted operation of the equipment.
[0212] 2. Cache middleware is not a functional module, but a necessary non-functional module designed to ensure the real-time and reliable operation of the system and to cache the data before and after processing by each functional module. Each functional module reads and writes data from the cache middleware, reducing the coupling between functional modules.
[0213] 3. Radar data access module, its functions are as follows:
[0214] (1) Connect to the radar module and receive the data of the radar module into the module;
[0215] (2) parsing the received radar data and writing the parsed data into the cache middleware;
[0216] (3) Reading instructions of the radar module from the cache middleware;
[0217] (4) Encapsulate the radar module instructions and send them to the radar module.
[0218] 4. Image data access module, its function is to connect to the image module and obtain image data from the image module, and then directly give the image data to the image data processing module without writing it into the cache middleware. The reason why it is not written into the cache middleware is that the image data is only related to the data processing module and has no relevance to other functional modules.
[0219] 5. Image data processing module, which detects, tracks and identifies targets in images through machine learning technology, AI technology and image processing technology and writes target data into the cache middleware. The detection, tracking and identification rate of the image data processing module directly affects the false alarm rate of the device.
[0220] 6. The image device control module is mainly used to effectively control the focal length of the image device according to the needs of the system.
[0221] 7. Data fusion module, which is the core functional module of the system. Its main function is to determine whether the radar target is a false alarm; if the radar target is not a false alarm, then determine the correspondence between the radar target and the image detection target. The reason why the data fusion module is the core module is that it is the key step for the low false alarm rate of the intelligent field-type intrusion detector; it is also a difficult point. The target attributes given by the radar module and the image module are obtained by "observation" from different dimensions, so how to determine whether the targets of the two modules are derived from the same target is the biggest difficulty of this functional module. The "three-dimensional defense intelligent fusion algorithm" effectively solves this problem.
[0222] 8. Business processing module, which is the key functional module of the system. Through the data fusion module, the system improves the attribute data of each detected target; then it is necessary to judge whether the target is within the designated business area (alarm area, early warning area, etc.) according to the attribute data of the target, and determine whether to issue a warning, whether to control the image module and the switch module, etc. According to the needs, the business processing module can be divided into the following small modules:
[0223] (1) Threat level determination, i.e., determining whether the target is within the business area (alarm area, early warning area, etc.) and assigning different threat level values according to the business area it is in.
[0224] (2) Control the judgment module, that is, judge whether the image module needs to adjust the focal length, etc.
[0225] (3) Warning judgment module, which determines whether the target needs to issue a warning message.
[0226] (4) Switch quantity determination module, that is, when the target needs to issue a warning, it generates a switch quantity signal.
[0227] (5) Equipment status determination module, that is, the system determines the real-time operating status of the running equipment.
[0228] 9. Real-time data storage module, that is, reading the real-time data to be stored from the cache middleware and storing the data in the database, providing data support for the data playback module.
[0229] 10. Web server module, i.e., the functional module that interacts with the web browser, includes data playback module, system configuration module and real-time status display module. Its function is to convert the data of the application system (including real-time data and historical data) into pages and status. The data processed by the web server module mainly includes UI pictures, Html files, real-time data obtained through ajax and data from querying the database.
[0230] Fig. 9 A schematic diagram of a radar data access module provided in an embodiment of the present application is shown. Fig. 9 As shown in the figure, the radar data access module mainly serves as a "link" for data transmission between the system and the radar module. After the radar data access module is connected to the radar module, it receives the target data, status data and command feedback data of the radar module, and parses the received data packets into different data according to the data packet type. Then the data is written to the cache middleware; on the other hand, it also reads the command data from the cache middleware and encapsulates the command data into a data packet that can be recognized by the radar module, and then sends it to the radar module. In short, through the radar data access module, a "bridge" for data transmission is established between the software system and the radar module.
[0231] More specifically, first, obtain configuration information; second, connect the radar module; third, send a data acquisition instruction to obtain data if the connection is successful, and update the device status and write the cache if the heartbeat data is received; write the cache if the heartbeat data is not received and the instruction feedback data is received; parse the data and write the cache if the heartbeat data and the instruction feedback data are not received and the target data is received; if the heartbeat data and the instruction feedback data are not received and the target data is received, end if it is the end, and return to the target data if it is not the end; after writing the cache, read the instruction cache, and if there is an instruction, encapsulate the instruction and send the instruction; if there is no instruction, end if it is the end, and return to the target data if it is not the end; if the connection is not successful, update the device status, write the cache, and end.
[0232] The intrusion object monitoring device provided in the embodiment of the present application can be used to execute the intrusion object monitoring method, that is, it has the beneficial effects and implementation methods of the intrusion object monitoring method provided in Example 2 of the present application. For details, please refer to the specific description of the intrusion object monitoring method in the above Example 2, and this embodiment will not be repeated here.
[0233] It is to be understood that the above embodiments are merely exemplary embodiments used to illustrate the principles of the present application, but the present application is not limited thereto. For those skilled in the art, various modifications and improvements can be made without departing from the spirit and substance of the present application, and these modifications and improvements are also considered to be within the scope of protection of the present application.
Claims
1. A method for determining an intrusion object, characterized in that: include: Acquire first position information of an object to be detected around the target device; Determining a first target distance between the target device and the object to be detected according to the first position information; Acquiring the image information of the object to be detected according to the first target distance; According to the image information to be detected, it is determined whether the object to be detected is an intrusion object.
2. The method according to claim 1, characterized in that Acquiring first position information of an object to be detected around the target device, including: Acquire first position information of an object to be detected around the target device through a radar module; The radar module includes at least one of a microwave radiation detector, a laser radiation detector, an active infrared detector, an outdoor dual-detection detector, a passive infrared detector and a laser scanning detector.
3. The method according to claim 1, characterized in that Acquiring the image information of the object to be detected according to the first target distance, including: According to the first target distance, the focal length of the image module is adjusted to collect the image information to be detected of the object to be detected through the image module.
4. The method according to claim 3, characterized in that Adjusting the focal length of the image module according to the first target distance includes: When the first target distance is greater than a preset distance range, increasing the focal length of the image module; or, When the first target distance is less than or equal to a preset distance range, the focal length of the image module is reduced.
5. The method according to claim 1, characterized in that Determining whether the object to be detected is an intrusion object according to the image information to be detected includes: Acquire an intrusion object image information set, wherein the intrusion object image information set includes at least one intrusion object image information; In the case that there is no intrusion object image information corresponding to the image information of the object to be detected in the intrusion object image information set, determining that the object to be detected is not an intrusion object; or, In a case where the intrusion object image information set includes intrusion object image information corresponding to the image information of the object to be detected, it is determined that the object to be detected is an intrusion object.
6. A method for monitoring an intrusion object, characterized in that: include: According to the intrusion object detection method according to any one of claims 1 to 5, determining whether the object to be detected is an intrusion object; In the case where the object to be detected is an intrusion object, generating warning information according to the first position information and the second position information of the preset warning area, wherein the warning information is used to indicate that the object to be detected is within the preset warning area; Output warning information.
7. The method according to claim 6, characterized in that Generate warning information according to the first position information and the second position information of the preset warning area, including: Determining a second target distance between the object to be detected and the preset warning area according to the first position information and the second position information of the preset warning area; When the second target distance is greater than a preset distance threshold, an alarm message is generated.
8. The method according to claim 6, characterized in that The output alarm information includes: Displaying warning information on the display interface of the target device; and / or, Output the alarm information to the switch quantity module so that the alarm platform connected to the switch quantity module outputs the alarm information.
9. The method according to claim 6, characterized in that In the case where it is determined that the object to be detected is an intrusion object, the method further includes: Marking the object to be detected according to the image information to be detected and the first position information; Tracking the object to be detected to obtain a target type attribute of the object to be detected, wherein the target type attribute includes at least one of current position information, moving direction, and moving speed; The target type attribute is displayed on a display interface of the target device.
10. An intrusion object determination device, characterized in that: include: A first acquisition unit, used to acquire first position information of an object to be detected around a target device; a first determining unit, connected to the first acquiring unit, and configured to determine a first target distance between the target device and the object to be detected according to the first position information; a second acquisition unit, connected to the first determination unit, and configured to acquire the image information to be detected of the object to be detected according to the first target distance; The second determining unit is connected to the second acquiring unit, and is used to determine whether the object to be detected is an intrusion object according to the image information to be detected.
11. The device according to claim 10, characterized in that The first acquisition unit is specifically used to: Acquire first position information of an object to be detected around the target device through a radar module; Wherein, the radar module includes at least one of a microwave radiation detector, a laser radiation detector, an active infrared detector, an outdoor dual-detection detector, a passive infrared detector and a laser scanning detector; and / or, The second acquisition unit is specifically used to: According to the first target distance, adjusting the focal length of the image module to collect the image information to be detected of the object to be detected through the image module; and / or, The second determining unit is specifically configured to: Acquire an intrusion object image information set, wherein the intrusion object image information set includes at least one intrusion object image information; In the case that there is no intrusion object image information corresponding to the image information of the object to be detected in the intrusion object image information set, determining that the object to be detected is not an intrusion object; or, In a case where the intrusion object image information set includes intrusion object image information corresponding to the image information of the object to be detected, it is determined that the object to be detected is an intrusion object.
12. An intrusion object monitoring device, characterized in that: include: The intrusion object determination device according to any one of claims 10 to 11, used to determine whether the object to be detected is an intrusion object; a generating module connected to the intrusion object determining device, and configured to generate warning information according to the first position information and the second position information of the preset warning area when the object to be detected is an intrusion object, wherein the warning information is used to indicate that the object to be detected is within the preset warning area; The output module is connected to the generation module and is used to output the alarm information.
13. The device according to claim 12, characterized in that The intrusion object monitoring device further includes a protection device; the protection device is a chassis; The intrusion object determination device, the generation module, and the output module are respectively loaded in the chassis; The chassis is made of stainless steel; The outer shell of the chassis and the interior of the chassis are wound with a metal film to form a metal shielding shell.
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