CN113554837B - Monitoring alarm method and system - Google Patents
Monitoring alarm method and system Download PDFInfo
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- CN113554837B CN113554837B CN202110825363.9A CN202110825363A CN113554837B CN 113554837 B CN113554837 B CN 113554837B CN 202110825363 A CN202110825363 A CN 202110825363A CN 113554837 B CN113554837 B CN 113554837B
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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Abstract
The invention provides a monitoring alarm method and a device thereof; the method comprises the following steps: acquiring image data of a workshop site through a monitoring node; identifying a human body in the image data, and capturing a plurality of key nodes of the human body; constructing limb lines based on a plurality of key nodes of a human body, and calculating the invasion proportion of the limb lines in an early warning surface generated based on image data; and responding to the intrusion ratio of the limb line in the early warning surface to be greater than or equal to a preset threshold value, controlling the monitoring node to send out an alarm and uploading related image data to the monitoring center. The beneficial effects of the invention include: the monitoring method and the device for image recognition and human body posture prediction are provided, support auxiliary monitoring by presuming human body posture under the condition of low image definition, support presumption under an offline condition, reduce the investment of monitoring personnel and reduce the workshop network distribution cost.
Description
Technical Field
The invention relates to the technical field of monitoring, in particular to a monitoring alarm method and a system.
Background
With the continuous deepening of the concept of safe production, the production workshops and production lines of enterprises are provided with operation monitoring and special personnel for monitoring and exception handling. However, the existing workshop monitoring method has a plurality of problems, and the main problems include:
1) Unlike the chemical industry and papermaking industry which are oriented to flow manufacturing, the dust-free workshop can realize purification, the dust-free workshop is difficult to realize in a large equipment manufacturing plant and a bridge manufacturing plant which are oriented to discrete manufacturing industry, and particularly relates to a workshop for processing a steel structure. In the processing technology of the large-scale equipment manufacturing plant, procedures such as high-temperature cutting, argon arc welding and the like are often needed, so that a large amount of waste gas is generated, the waste gas is not easy to dissipate in a short time due to the fact that the volume of processed products is large and the raw materials and semi-finished products are temporarily stacked in the large-scale equipment manufacturing plant, the visibility of the workshop is reduced, and moreover, the workshop working clothes are mainly in deep blue, gray, black and other deep hues, and are not clear in boundary with other environmental factors such as equipment, steel and the like, so that the waste gas is more difficult to distinguish and distinguish from a monitoring image.
2) For the early warning of the invasion of an object, the alarm is generally triggered according to the area ratio of the invasion area to the forbidden area (early warning surface), however, the mode frequently gives false alarms. For example: the flying insect moves in the range close to the camera, the area of the flying insect is multiplied due to the perspective phenomenon of near large and far small, the duty ratio reaches a preset value, namely, false touch monitoring alarm can be caused, and therefore extra examination work is caused for monitoring staff, and on the other hand, a large amount of storage space is wasted due to early warning and retention of false alarm.
3) After the deployment of the monitoring system is completed, the problems of upgrading, increasing, decreasing and migrating equipment and introducing new functional equipment are caused by the solidification problem of the monitoring system.
Therefore, there is a need to provide a new monitoring alarm method and/or system to avoid the above problems.
Disclosure of Invention
In order to solve the technical problem, in one aspect of the present invention, a monitoring alarm method is provided, which includes acquiring image data of a monitoring site through a monitoring node; identifying a human body in the image data, and capturing a plurality of key nodes of the human body; constructing limb lines based on a plurality of key nodes of the human body, and calculating the invasion proportion of the limb lines in an early warning plane generated based on image data; and responding to the intrusion ratio of the limb line in the early warning surface being greater than or equal to a preset threshold value, controlling the monitoring node to send out an alarm and uploading related image data to a monitoring center.
In one or more embodiments, the controlling the monitoring node to send out an alarm in response to the intrusion ratio of the limb line in the early warning surface being greater than or equal to a preset threshold value includes: controlling the monitoring node to send out an alarm in response to the ratio of the length of the limb line invading the early warning surface to the whole length of the limb line being greater than or equal to a first preset threshold value; the early warning surface is a designated area in an image picture corresponding to the image data.
In one or more embodiments, the controlling the monitoring node to send out an alarm in response to the intrusion ratio of the limb line in the early warning surface being greater than or equal to a preset threshold value includes: controlling the monitoring node to send out an alarm in response to the ratio of the number of key nodes invading the early warning surface in the limb line to the number of all key nodes in the limb line being greater than or equal to a second preset threshold; the early warning surface is a designated area in an image picture corresponding to the image data.
In one or more embodiments, the monitoring alarm method further comprises: identifying an object in the image data; classifying the identified objects, carrying out region division on the image frames corresponding to the image data according to the classification, and generating one or more early warning surfaces based on the division result.
In one or more embodiments, the monitoring alarm method further comprises: identifying a human action based on a plurality of key nodes of the human; identifying object behaviors according to one or more human body actions and areas where the human body is located; and in response to abnormal behavior of the object, controlling the monitoring node to send out an alarm and uploading related image data to a monitoring center.
In one or more embodiments, the image data includes: depth image data and thermal imaging data.
In another aspect of the present invention, a monitoring alarm system is presented, comprising: each monitoring node at least comprises a camera and a processing module, and the camera is in communication connection with the processing module; a memory module storing an executable computer program for implementing the respective steps of the monitoring alarm method as described above when executed by the processing module; and the monitoring center is used for receiving and displaying the related image data uploaded by one or more monitoring nodes.
In one or more embodiments, the monitoring alarm system further comprises: the thermal imaging device or the infrared night vision device is in communication connection with the processing module through one of the plurality of data interfaces and is used for sending the acquired thermal imaging data or night vision imaging data to the processing module.
In one or more embodiments, the monitoring alarm system further comprises: the thermal imaging device is in communication connection with the processing module through one of the plurality of data interfaces and is used for sending the acquired thermal imaging data to the processing module.
In one or more embodiments, the monitoring alarm system further comprises: and the heat dissipation device is arranged near the base and is used for dissipating heat of the processing module in the base.
The beneficial effects of the invention include: 1) The monitoring method and the device for image recognition and human body posture prediction are provided, support auxiliary monitoring by presuming human body posture under the condition of low image definition, support presumption under an offline condition, reduce the investment of monitoring personnel and reduce the workshop network distribution cost. 2) The human body posture is quantized, and is converted into accurate judgment of limbs and an early warning area, so that early warning accuracy is improved. 3) The low-cost and high-efficiency monitoring design and device supporting flexible lifting of the configuration according to the application scene are provided. 4) The model training for the amateur is provided, one training can be formed in the same industry, the advantages of multiple deployment are achieved, and the machine training cost is reduced.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are necessary for the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention and that other embodiments may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a monitoring alarm method of the present invention;
FIG. 2 is a schematic diagram of the monitoring alarm system of the present invention;
FIG. 3 is a flow chart of the operation of a prior art monitoring alarm system;
FIG. 4 is a flow chart of the operation of the monitoring alarm system of the present invention;
fig. 5 is a schematic diagram of physical connection at a monitoring node side of the monitoring alarm system of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the following embodiments of the present invention will be described in further detail with reference to the accompanying drawings.
It should be noted that, in the embodiments of the present invention, all the expressions "first" and "second" are used to distinguish two entities with the same name but different entities or different parameters, and it is noted that the "first" and "second" are only used for convenience of expression, and should not be construed as limiting the embodiments of the present invention, and the following embodiments are not described one by one.
FIG. 1 is a flow chart of a monitoring alarm method of the present invention. As shown in fig. 1, the workflow of the monitoring alarm method of the present invention includes: s1, acquiring image data of a monitoring site through a monitoring node; s2, identifying a human body in the image data, and capturing a plurality of key nodes of the human body; s3, constructing limb lines based on a plurality of key nodes of a human body, and calculating the invasion proportion of the limb lines in an early warning plane generated based on image data; and step S4, responding to the fact that the intrusion ratio of the limb line in the early warning surface is larger than a preset threshold value, controlling the monitoring node to send out an alarm and uploading relevant image data to the monitoring center. The early warning surface is a designated area in an image picture corresponding to the image data.
In the embodiment, the invention provides that the monitoring on the monitoring site is realized by adopting an image analysis algorithm, and provides that the critical nodes of the human body are identified, the limb line is constructed, and the intrusion proportion of the limb line in the generated early warning surface is calculated to trigger the alarm; compared with the prior art, the false alarm is greatly reduced by capturing the moving object and triggering the alarm according to the area occupation ratio of the intrusion of the object into the early-warning surface; for example, the flying insect intrusion alarm mentioned in the background art does not trigger a false alarm because flying insects cannot be identified as human bodies and are more unable to identify key nodes. Furthermore, the key nodes are identified by the invention, so that the requirement on the image quality of the image is not high, and the hardware investment when the scheme of the invention is applied is far lower than that of the existing monitoring scheme.
In a further embodiment, in order to further ensure the accuracy of the intrusion alert, the invention further provides that the intrusion duty ratio is calculated by calculating the ratio of the length of the intrusion early warning surface of the limb line to the whole length of the limb line, and the monitoring node is controlled to send out the alert in response to the ratio of the length of the intrusion early warning surface of the limb line to the whole length of the limb line being greater than or equal to a first preset threshold value; in this embodiment, since the limb line structure needs to have at least two key nodes, the intrusion alarm based on the limb line can effectively avoid false alarms such as winged insect intrusion.
In a further embodiment, in order to further ensure the accuracy of the intrusion alert, the invention further proposes to calculate the intrusion duty ratio by a ratio of the number of key nodes of the intrusion alert face in the limb line to the number of all key nodes in the limb line, and in response to the ratio of the number of key nodes of the intrusion alert face in the limb line to the number of all key nodes in the limb line being greater than or equal to a second preset threshold, control the monitoring node to issue an alert. In this embodiment, considering the influence of the human body posture on the intrusion ratio, for example, when the human body is bent or squatting, the critical node is concentrated, and the intrusion ratio is obviously not accurate enough to calculate based on the length of the intrusion early-warning surface of the limb line at this time.
In a specific embodiment, the intrusion alarm modes in the two embodiments are combined, and in the monitoring process, the intrusion alarm is triggered when any one of the two intrusion alarms is met.
In a further embodiment, the invention also provides a method for automatically determining the early warning surface, which comprises the following steps: identifying an object in the image data; classifying the identified objects, carrying out region division on the image pictures corresponding to the image data according to the classification, and generating one or more early warning surfaces based on the division result. The early warning surface corresponds to an area in which personnel are forbidden to enter in the monitoring site, and danger can exist in the area.
In a specific embodiment, the forbidden area may also relate to business confidentiality, and for this purpose, the on-site monitoring method of the invention further comprises the steps of identifying the human face in the human monitoring picture, and determining the forbidden area according to the level distinction of the identity of the object. The implementation can realize the on-site monitoring more intelligently and can effectively assist the management work of workshops.
In the monitoring and early warning method, the forbidden area can be monitored, and abnormal behaviors of personnel can be monitored, and the specific scheme is as follows:
in a further embodiment, the monitoring and alarming method of the present invention further comprises identifying human actions based on a plurality of key nodes of the human body; identifying object behaviors according to one or more human body actions and the region where the human body is located; in response to the abnormal behavior of the object, the control monitoring node issues an alarm and uploads the relevant image data to the monitoring center. The human body motions are basic motions of the human body identified according to a plurality of key nodes, such as squatting, sitting, standing, walking, bending over, lifting hands, and the like. However, considering that the same action may have different meanings in different scenes, the present invention determines the working scene based on the recognition classification of the objects on the shop site in the previous embodiment, and recognizes the object behavior by one or more human actions, for example, the behavior of standing low is also presented to the worker by taking a numerically controlled milling machine and a radial drilling machine as an example, however, the corresponding specific behaviors are respectively the plane milling behavior of the numerically controlled milling machine in the numerically controlled milling process and the drilling behavior of the operator in the hole machining process. Also, in both scenarios, abnormal operation of personnel will be differentiated. Therefore, the working environment is determined by combining the recognition objects, and the object behavior is monitored more reasonably and effectively based on the working environment and the human body actions.
In a further embodiment, the image data of the inventive zone may be depth image data as well as thermal imaging data for the case of an intrusion alert entering a hazardous area. The invention adopts the mode of constructing human body lines and key nodes based on human bodies, and can effectively realize the on-site monitoring under the adverse working conditions. And also has good effect on night monitoring.
It should be noted that the application scenario is only a common application scenario that the present invention can think of, but does not play any limiting role on the application scenario of the present invention; any application scenario which can be taught in the application scenario proposed by the present invention and which can be monitored by the method of the present invention is also within the scope of the present invention.
In addition, the analysis processing work on the image data described above is mainly implemented by a neural network model. In one embodiment of the invention, the software deployment work can be performed by training the model by external equipment and optimizing the model, and then saving the optimized neural network model as a tflite file. The trained neural network model has self-learning capability.
On the basis of the monitoring alarm method provided by each embodiment, the invention also provides a monitoring alarm system, which is specifically described as follows:
fig. 2 is a schematic structural diagram of the monitoring alarm system of the present invention. As shown in fig. 2, the monitoring alarm system of the present invention includes: one or more monitoring nodes 100 (only one monitoring node is shown in fig. 2), each monitoring node 100 comprising at least a camera 120 and a processing module 110, the camera 120 being communicatively coupled to the processing module 110; a memory module 200, the memory module 200 storing an executable computer program which, when executed by the processing module 110, is configured to implement the corresponding steps of the monitoring alarm method in any of the embodiments described above; the monitoring center 300, the monitoring center 300 is configured to receive and display the related image data uploaded from one or more monitoring nodes 100.
In the embodiment, the invention adopts a field offline analysis mode for the acquired image data, and only uploads the image data related to the alarm to the monitoring center, thereby greatly reducing the requirement on network transmission of the system and greatly reducing the deployment difficulty of the monitoring alarm system. In addition, the invention configures a plurality of data interfaces for the monitoring node, so the hardware equipment composition at the monitoring node side can be flexibly configured, thereby solving the solidification problem of the monitoring system to a certain extent.
Because the invention has low requirement on the network transmission performance of the system, in an optional embodiment, the monitoring node of the invention can communicate with the monitoring center in a wired communication mode and upload related image data; in a preferred embodiment, the monitoring node of the present invention may communicate with the monitoring center by means of wireless communication and upload the relevant image data. Although wired communication has advantages and disadvantages in wireless communication, compared with the conventional workshop monitoring scheme which generally has higher requirements on network transmission capacity and can only adopt wired communication, the invention provides more choices, so that the communication form can be selected according to requirements. The following table sets forth a wired versus wireless comparison.
TABLE 1 comparison of advantages and disadvantages of Wired versus Wireless communications
In a specific embodiment, the monitoring node and the monitoring center adopt a limited communication mode, for example, in general, video data can only be uploaded to the monitoring center by the monitoring node, and besides the active pulling after identity verification, any process processing image data cannot leave the edge equipment, so that the confidentiality of a process flow is ensured.
In another embodiment, the relevant image data uploaded by the monitoring node is image data within a preset time period before and after the alarm occurs.
In this embodiment, the present invention performs analysis of the image data in the monitoring node on site, which not only realizes the average distribution of calculation forces, but also avoids the danger caused by losing the monitoring capability of the whole workshop site once the analysis system fails when the image data is analyzed intensively. Pairs of workflows of the inventive solution to existing solutions such as shown in fig. 3 and 4:
fig. 3 is a flow chart of the operation of a conventional monitoring alarm system. In the existing scheme, the on-site monitoring node generally only has the camera shooting capability, the processing of the image data can be carried out in the background, the monitoring center can display the monitoring condition of the workshop site in real time, and the monitoring work of the workshop site is realized mainly under the condition of assisting monitoring by monitoring staff.
Fig. 4 is a flowchart of the operation of the monitoring alarm system of the present invention. In the scheme of the invention, the processing of the image data is finished in the field, and only the relevant video for triggering the alarm is uploaded to the monitoring center, so that the monitoring personnel only need to pay attention to the video displayed in the monitoring center, and the manpower requirement is greatly reduced in the monitoring work of the invention.
In an alternative embodiment, to ensure continuous monitoring of important areas, the monitoring node may be configured to upload video data it captures in real time, rather than having to upload only video data related to alarms.
In one embodiment, the processing module of the present method is a raspberry group 4B integrated circuit board and the camera is an HBV-4K 1928V 55 camera.
In a further embodiment, the monitoring alarm system of the present invention further comprises a thermal imager communicatively coupled to the processing module via one of the plurality of data interfaces on the base and configured to send the acquired thermal imaging data to the processing module.
In a further embodiment, the monitoring alarm system of the present invention further comprises an infrared night vision device communicatively coupled to the processing module via one of the plurality of data interfaces on the base and configured to transmit the acquired night vision imaging data to the processing module.
In the embodiment, aiming at the problem of different enterprise scales and different workshop production environments, the raspberry group 4B, HBV-4K 1928V 55 cameras used in the embodiment of the invention can flexibly perform configuration lifting and adjustment, so that the full-automatic selection of hardware equipment is realized. Such as: the environment is clean, the production environment is simple, the Camera can be reduced to RPi Camera V2, and raspberry group 4B is reduced to 3B+; there is a dark work shop where the camera can be replaced with a RPi Camera NOIR V2 camera supporting infrared night vision.
In a further embodiment, the monitoring alarm system of the present invention further includes a heat dissipating device disposed near the base for dissipating heat from the processing module in the base.
In a further embodiment, the monitoring alarm system of the present invention further comprises a power supply module for supplying power to the entire monitoring alarm system.
In one implementation, the power module is used to provide 220V alternating current and 5V/3A direct current.
Fig. 5 is a schematic diagram of physical connection at a monitoring node side of the monitoring alarm system of the present invention. As shown in fig. 5, 100 is a processing module (raspberry group 4B integrated circuit board), 120 is a video camera, 400 is a power supply module, and 500 is a fan. In this embodiment, the memory module 200 is also integrated on the raspberry 4B integrated circuit board.
The application of the monitoring alarm method or system of the invention is helpful for reducing the hardware investment cost, and the following table lists the hardware investment required by the existing monitoring systems and the monitoring alarm method or system of the invention, and the specific steps are as follows:
TABLE 2 hardware investment comparison of the inventive solution with the existing solution
According to the comparison, the monitoring of 2-3 stations is realized, the hardware investment of the invention is far lower than that of a hundred-degree AI scheme, and the investment cost of the camera can be effectively reduced due to the low performance requirement of the invention on the camera, so that the hardware investment cost of the scheme is lower than that of a bloom scheme.
The foregoing is an exemplary embodiment of the present disclosure, but it should be noted that various changes and modifications could be made herein without departing from the scope of the disclosure as defined by the appended claims. The functions, steps and/or actions of the method claims in accordance with the disclosed embodiments described herein need not be performed in any particular order. Furthermore, although elements of the disclosed embodiments may be described or claimed in the singular, the plural is contemplated unless limitation to the singular is explicitly stated.
It should be understood that as used herein, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly supports the exception. It should also be understood that "and/or" as used herein is meant to include any and all possible combinations of one or more of the associated listed items.
The foregoing embodiment of the present invention has been disclosed with reference to the number of embodiments for the purpose of description only, and does not represent the advantages or disadvantages of the embodiments.
Those of ordinary skill in the art will appreciate that: the above discussion of any embodiment is merely exemplary and is not intended to imply that the scope of the disclosure of embodiments of the invention, including the claims, is limited to such examples; combinations of features of the above embodiments or in different embodiments are also possible within the idea of an embodiment of the invention, and many other variations of the different aspects of the embodiments of the invention as described above exist, which are not provided in detail for the sake of brevity. Therefore, any omission, modification, equivalent replacement, improvement, etc. of the embodiments should be included in the protection scope of the embodiments of the present invention.
Claims (9)
1. A monitoring alarm method is characterized in that the method comprises the following steps of,
acquiring image data of a monitoring site through a monitoring node;
identifying a human body in the image data, and capturing a plurality of key nodes of the human body;
constructing limb lines based on a plurality of key nodes of the human body, and calculating the invasion proportion of the limb lines in an early warning plane generated based on the image data;
responding to the intrusion ratio of the limb line in the early warning surface being greater than or equal to a preset threshold value, controlling the monitoring node to send out an alarm and uploading related image data to a monitoring center;
and controlling the monitoring node to send out an alarm in response to the intrusion ratio of the limb line in the early warning surface being greater than or equal to a preset threshold, including:
controlling the monitoring node to send out an alarm in response to the ratio of the length of the limb line invading the early warning surface to the whole length of the limb line being greater than or equal to a first preset threshold value;
the early warning surface is a designated area in an image picture corresponding to the image data.
2. The monitoring alarm method of claim 1, wherein the controlling the monitoring node to send out an alarm in response to the intrusion ratio of the limb line in the pre-alarm surface being greater than or equal to a preset threshold value comprises:
and controlling the monitoring node to send out an alarm in response to the fact that the ratio of the number of key nodes invading the early warning surface in the limb line to the number of all key nodes in the limb line is greater than or equal to a second preset threshold.
3. The monitoring alarm method of claim 1 or 2 wherein the method further comprises:
identifying an object in the image data;
classifying the identified objects, carrying out region division on the image frames corresponding to the image data according to the classification, and generating one or more early warning surfaces based on the division result.
4. A monitoring alarm method as in claim 3 wherein the method further comprises:
identifying a human action based on a plurality of key nodes of the human;
identifying object behaviors according to one or more human body actions and areas where the human body is located;
and in response to abnormal behavior of the object, controlling the monitoring node to send out an alarm and uploading related image data to a monitoring center.
5. The monitoring alarm method of claim 1 wherein the image data comprises: depth image data and thermal imaging data.
6. A monitoring alarm system, comprising:
each monitoring node at least comprises a camera and a processing module, and the camera is in communication connection with the processing module;
a storage module storing an executable computer program for implementing the respective steps of the monitoring alarm method of any one of claims 1-5 when executed by the processing module;
and the monitoring center is used for receiving and displaying the related image data uploaded by one or more monitoring nodes.
7. The surveillance alarm system of claim 6 wherein the processing module is disposed in a base that fixedly supports the camera and is provided with a plurality of data interfaces that are each coupled to the processing module, the camera being communicatively coupled to the processing module via one of the plurality of data interfaces and configured to transmit the acquired image data to the processing module.
8. The supervisory alarm system as set forth in claim 7, further comprising: the thermal imaging device or the infrared night vision device is in communication connection with the processing module through one of the plurality of data interfaces and is used for sending the acquired thermal imaging data or night vision imaging data to the processing module.
9. The supervisory alarm system as set forth in claim 7, further comprising: and the heat dissipation device is arranged near the base and is used for dissipating heat of the processing module in the base.
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| 刘成 等.基于图像处理的嵌入式自动报警系统.《 计算机工程与设计 》 .第第28卷卷(第第28卷期),第4198、4199、4269页. * |
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