CN112634581B - Method and system for prompting falling object danger and storage medium - Google Patents
Method and system for prompting falling object danger and storage medium Download PDFInfo
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B7/00—Measuring arrangements characterised by the use of electric or magnetic techniques
- G01B7/02—Measuring arrangements characterised by the use of electric or magnetic techniques for measuring length, width or thickness
- G01B7/06—Measuring arrangements characterised by the use of electric or magnetic techniques for measuring length, width or thickness for measuring thickness
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V3/00—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
- G01V3/12—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation operating with electromagnetic waves
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- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/10—Alarms for ensuring the safety of persons responsive to calamitous events, e.g. tornados or earthquakes
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- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
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Abstract
The invention provides a method and a system for prompting falling object danger and a storage medium. The method comprises the following steps: determining dangerous goods with falling risks in a designated area, and acquiring position information of the dangerous goods with falling risks in the designated area; judging whether a target person exists in the designated area, and acquiring the position information of the target person in the designated area when the target person exists in the designated area; determining a horizontal distance between a target person and the dangerous goods according to the position information of the target person and the position information of the dangerous goods, and judging that the dangerous goods have danger of falling to hurt people to the target person when the horizontal distance is smaller than or equal to a preset horizontal distance threshold; and when the dangerous goods are judged to have the danger of falling to hurt the people to the target personnel, sending out danger prompt information. The invention can effectively reduce the harm to personnel caused by falling objects from high places indoors.
Description
Technical Field
The invention relates to the technical field of danger prompting, in particular to a method and a system for prompting falling object danger and a storage medium.
Background
In indoorly, probably there is the article that can exist on the shelf to fall and causes personnel's injured risk, especially when natural disasters such as earthquake or typhoon appear, need let the user can receive prompt message in advance to avoid the article to fall the bodily injury who brings for the user.
Disclosure of Invention
The invention mainly aims to provide a method, a system and a storage medium for prompting falling object danger so as to remind people of the danger of falling objects from high heights in a house.
In a first aspect, the application provides a method for prompting falling object danger, comprising the following steps: determining dangerous goods with falling risks in a designated area, and acquiring position information of the dangerous goods with falling risks in the designated area; judging whether a target person exists in the designated area, and acquiring the position information of the target person in the designated area when the target person exists in the designated area; determining a horizontal distance between a target person and the dangerous goods according to the position information of the target person and the position information of the dangerous goods, and judging that the dangerous goods have danger of falling to hurt people to the target person when the horizontal distance is smaller than or equal to a preset horizontal distance threshold; and when the dangerous goods are judged to have the danger of falling to hurt the people to the target personnel, sending out danger prompt information.
In one embodiment, determining a hazardous material at risk of falling in a designated area includes: determining a commodity shelf in a designated area and placed articles on the commodity shelf, and acquiring attribute information of the placed articles; and judging whether the placed articles meet preset attribute conditions or not according to the attribute information of the placed articles, and taking the placed articles meeting the preset attribute conditions as dangerous articles with falling risks.
In one embodiment, the determination of the commodity shelf in the designated area and the placing items on the commodity shelf comprises the following steps: acquiring image data of a designated area; and analyzing the image data of the designated area by using the trained article recognition neural network model, and determining the article placement frame in the designated area and the placed articles on the article placement frame according to the analysis result.
In one embodiment, the attribute information of the put items includes: the height of the placed article from the ground; the preset attribute conditions include: the height of the placed article from the ground is greater than or equal to a preset height threshold; judging whether the placed articles meet preset attribute conditions or not according to the attribute information of the placed articles, wherein the judging step comprises the following steps: and comparing the height of the placed article from the ground with a preset height threshold value, and judging whether the placed article meets a preset attribute condition according to a comparison result.
In one embodiment, the height of the put article from the ground is obtained by the following steps: emitting electromagnetic waves to the placed articles; determining the distance between the placed article and the electromagnetic wave positioning device and the included angle between the connecting line of the placed article and the electromagnetic wave positioning device and the horizontal direction according to the electromagnetic waves reflected by the placed article; and determining the height of the placed object from the ground according to the preset height of the electromagnetic wave positioning device from the ground, the distance between the placed object and the electromagnetic wave positioning device and the included angle between the connecting line of the placed object and the electromagnetic wave positioning device and the horizontal direction.
In one embodiment, the property information of the put items further includes: the material type of the placed articles; the preset attribute condition further includes: when the height of the placed article from the ground is greater than or equal to a preset height threshold value, the material type of the placed article belongs to the material type of a preset dangerous article; judging whether the placed articles meet preset attribute conditions according to the attribute information of the placed articles, and further comprising: and when the height of the placed object from the ground is greater than or equal to a preset height threshold value, matching the material type of the placed object with the material type of a preset dangerous object, and judging whether the placed object meets a preset attribute condition according to a matching result.
In one embodiment, the material type of the placed article is obtained by the following steps: acquiring image data of the placed article; and analyzing the image data of the placed objects by using the trained material recognition neural network model, and determining the material type of the placed objects according to the analysis result.
In one embodiment, determining whether a target person is present in a designated area comprises: and recognizing the face image of the target person in the designated area, and judging that the target person exists in the designated area when the face image of the target person is recognized in the designated area.
In one embodiment, the electromagnetic wave locating device is used to determine the position information of the dangerous goods with falling risks in the designated area and the position information of the target person in the designated area.
In a second aspect, the present application provides a storage medium storing a computer program which, when executed by a processor, implements the steps of the method for indicating a risk of falling object as described above.
In a third aspect, the present application provides a system for prompting a falling object danger, comprising an imaging device, an electromagnetic wave positioning device, a controller, and a storage medium storing program code, wherein when the program code is executed by the controller, the controller controls the imaging device and the electromagnetic wave positioning device to implement the method for prompting a falling object danger as described above.
The method reminds the user of the risk of falling objects at high altitude in the room through the indoor monitoring equipment, can effectively reduce the risk of injury of personnel caused by falling objects at high altitude in the room, and particularly plays a role in preventing dangers from being huge before typhoon or earthquake occurs and in the high-rise room of a building.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention, in which:
FIG. 1 is a flow chart of a method for providing a reminder of a fall hazard according to an exemplary embodiment of the present application;
fig. 2 is a flowchart of a method for indicating a risk of falling objects according to an embodiment of the present application.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
Example one
The present embodiment provides a method for prompting a falling object danger, and fig. 1 is a flowchart of a method for prompting a falling object danger according to an exemplary embodiment of the present application. As shown in fig. 1, the method comprises the steps of:
s100: and determining the dangerous goods with the falling risk in the designated area, and acquiring the position information of the dangerous goods with the falling risk.
Wherein, confirm the dangerous goods that have the risk of falling in the appointed area, include: determining a commodity shelf in a designated area and placed articles on the commodity shelf, and acquiring attribute information of the placed articles; and judging whether the placed articles meet preset attribute conditions or not according to the attribute information of the placed articles, and taking the placed articles meeting the preset attribute conditions as dangerous articles with falling risks.
Specifically, the commodity shelf in the designated area and the placed articles on the commodity shelf can be determined through the following steps: acquiring image data of a designated area; and analyzing the image data of the designated area by using the trained article recognition neural network model, and determining the article placement frame in the designated area and the placed articles on the article placement frame according to the analysis result.
Wherein, can utilize a large amount of data samples to train article recognition neural network model in advance, the data sample can be image data and supporter and the corresponding relation sample between the various article on the supporter.
The attribute information of the placed article may include: the height of the placed articles from the ground. The preset attribute condition may include: the height of the placed articles from the ground is greater than or equal to a preset height threshold value. Correspondingly, judging whether the placed article meets preset attribute conditions according to the attribute information of the placed article comprises the following steps: and comparing the height of the placed article from the ground with a preset height threshold value, and judging whether the placed article meets a preset attribute condition according to a comparison result.
Specifically, the height of the placed article from the ground is obtained through the following steps: emitting electromagnetic waves to the placed articles; determining the distance between the placed article and the electromagnetic wave positioning device and the included angle between the connecting line of the placed article and the electromagnetic wave positioning device and the horizontal direction according to the electromagnetic waves reflected by the placed article; and determining the height of the placed object from the ground according to the preset height of the electromagnetic wave positioning device from the ground, the distance between the placed object and the electromagnetic wave positioning device and the included angle between the connecting line of the placed object and the electromagnetic wave positioning device and the horizontal direction. Wherein the electromagnetic wave positioning means may comprise a microwave radar.
In another example, the attribute information of the put item may further include: the material type of the placed articles. The preset attribute condition may further include: and when the height of the placed object from the ground is greater than or equal to a preset height threshold value, the material type of the placed object belongs to the material type of a preset dangerous object. Correspondingly, whether the placed article meets the preset attribute condition is judged according to the attribute information of the placed article, and the method further comprises the following steps: and when the height of the placed object from the ground is greater than or equal to a preset height threshold value, matching the material type of the placed object with the material type of a preset dangerous object, and judging whether the placed object meets a preset attribute condition according to a matching result.
Specifically, the material type of the placed articles can be obtained through the following steps: acquiring image data of the placed article; and analyzing the image data of the placed objects by using the trained material recognition neural network model, and determining the material type of the placed objects according to the analysis result. The material types may include metal, plastic, glass, and the like.
The material recognition neural network model may be trained in advance by using a large number of data samples, which may be corresponding relationship samples between image data and material types.
Specifically, the electromagnetic wave positioning device can be used for determining the position information of the dangerous goods with falling risks in the designated area.
S200: and judging whether the target person exists in the designated area, and acquiring the position information of the target person when the target person exists in the designated area.
Wherein, judging whether the target person exists in the designated area may include: and recognizing the face image of the target person in the designated area, and judging that the target person exists in the designated area when the face image of the target person is recognized in the designated area. Besides, whether the target person exists in the designated area can be identified through an infrared sensor.
Specifically, the position information of the target person may be determined using an electromagnetic wave positioning device. In addition, the position of the target person in the designated area can be located through a wireless signal sent by the intelligent device worn by the target person.
S300: determining the horizontal distance between the target person and the dangerous goods according to the position information of the target person and the position information of the dangerous goods, and judging that the dangerous goods have the danger of falling to hurt the person to the target person when the horizontal distance is smaller than or equal to a preset horizontal distance threshold value.
S400: and when the dangerous goods are judged to have the danger of falling to hurt the people to the target personnel, sending out danger prompt information.
The danger prompt information can prompt the target personnel in modes of voice broadcasting, alarming, short messages and the like.
Specifically, natural disaster warning information can also be acquired, for example, when an earthquake disaster is to occur, a preset horizontal distance threshold value can be increased to prompt a target person of falling object danger as early as possible.
The method reminds the user of the risk of falling objects at high altitude in the room through the indoor monitoring equipment, can effectively reduce the injury of personnel caused by falling objects at high altitude in the room, particularly in the room at high-rise buildings and before typhoons or earthquakes occur, can play a great role in preventing dangers, and is beneficial to reducing personal injury and property loss for the user.
Example two
The present embodiment provides a method for prompting a falling object danger in an embodiment, and fig. 2 is a flowchart of a method for prompting a falling object danger in an embodiment according to the present application. As shown in fig. 2, the specific process flow is roughly as follows.
First, an image pickup apparatus is installed in a room. The image pickup device has an image recognition program built therein.
Then, the camera shoots an environment image in the room, and storage houses such as storage racks and bookshelves in the room are identified according to the environment image. Various articles can be generally placed on the storage furniture, and the falling of the articles can cause injury to personnel.
After the storage furniture is identified, the articles placed on the storage furniture are identified. And the microwave radar is used for acquiring the height of the articles from the ground, and filtering the articles at a lower position. Wherein, the dividing standard of the upper position and the lower position can be set by the user.
Further, for the remaining items at the higher positions, the material types of the items can be identified. For example, when the material type of the article is glass, the article is fragile, and the generated glass slag can cause personal injury to users; when the article is made of metal, the article is hard, and particularly, when a sharp part exists on the surface of the article, the article can cause great harm to a user. Of course, other objects, such as a thick book, may cause injury to the user when dropped, and may be identified by the camera device.
Subsequently, whether the user enters the room or not can be determined through face recognition, and after the user enters the room, whether the articles in the room can possibly cause falling danger to the user or not is judged. For example, the height of the user can be used as a division standard of a higher position and a lower position, so that the articles which are dangerous to fall are different for the users with different heights, the falling danger can be prompted to the user according to the actual conditions of the user, and the falling safety warning device is more suitable for the users with different heights.
When the horizontal distance between the user and the article at the upper position is small, it is considered that the falling of the article at the upper position may cause danger to the user. In particular, microwave radar may be used to determine the horizontal distance between the user and an item at a higher location.
Then, the camera starts to prompt the danger, for example, information that the metal globe on the bookshelf has falling danger and the like can be prompted. The prompt information can be reported through voice, can be displayed through a display device, and can be sent to terminal equipment held by a user to prompt the user.
Particularly, local weather early warning information and earthquake early warning information can be received, and when an earthquake or typhoon possibly occurs, the prompting strength can be enhanced. For example, the prompt may be started when the user is far away from the article at a higher position, or the frequency of the prompt may be increased to play a role of a strong warning.
The specific prompting scheme can be specifically set by a user according to needs.
EXAMPLE III
The present embodiment provides a storage medium storing a computer program which, when executed by a processor, implements the steps of the method for presenting a falling object danger as described above.
Storage media, including permanent and non-permanent, removable and non-removable media, may implement the information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device.
Example four
The present embodiment provides a system for prompting a falling object danger, including an image pickup device, an electromagnetic wave positioning device, a controller, and a storage medium storing program codes, wherein when the program codes are executed by the controller, the controller controls the image pickup device and the electromagnetic wave positioning device to implement the above-mentioned steps of the method for prompting a falling object danger.
Wherein the electromagnetic wave positioning device may comprise a microwave radar.
It is noted that the terms used herein are merely for describing particular embodiments and are not intended to limit exemplary embodiments according to the present application, and when the terms "include" and/or "comprise" are used in this specification, they specify the presence of features, steps, operations, devices, components, and/or combinations thereof.
It should be understood that the exemplary embodiments herein may be embodied in many different forms and should not be construed as limited to only the embodiments set forth herein. These embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of these exemplary embodiments to those skilled in the art, and should not be construed as limiting the present invention.
Claims (9)
1. A method for prompting falling object danger is characterized by comprising the following steps:
determining a dangerous goods with a falling risk in a designated area, and acquiring the position information of the dangerous goods with the falling risk in the designated area, wherein the determining of the dangerous goods with the falling risk in the designated area comprises the following steps: determining a commodity shelf in a designated area and placed articles on the commodity shelf, and acquiring attribute information of the placed articles; judging whether the placed articles meet preset attribute conditions or not according to the attribute information of the placed articles, and taking the placed articles meeting the preset attribute conditions as dangerous articles with falling risks; the attribute information of the placed article comprises: the height of the placed article from the ground; the preset attribute conditions include: the height of the placed article from the ground is greater than or equal to a preset height threshold; judging whether the placed articles meet preset attribute conditions or not according to the attribute information of the placed articles, wherein the judging step comprises the following steps: comparing the height of the placed object from the ground with a preset height threshold, judging whether the placed object meets a preset attribute condition according to a comparison result, and taking the height of a target person as the preset height threshold;
judging whether a target person exists in the designated area, and acquiring the position information of the target person in the designated area when the target person exists in the designated area;
determining a horizontal distance between a target person and the dangerous goods according to the position information of the target person and the position information of the dangerous goods, and judging that the dangerous goods have danger of falling to hurt people to the target person when the horizontal distance is smaller than or equal to a preset horizontal distance threshold;
and when the dangerous goods are judged to have the danger of falling to hurt the people to the target personnel, sending out danger prompt information.
2. The method for indicating a danger of falling objects according to claim 1, wherein the step of determining the object placing rack in the designated area and the object placing rack comprises the steps of:
acquiring image data of a designated area;
and analyzing the image data of the designated area by using the trained article recognition neural network model, and determining the article placement frame in the designated area and the placed articles on the article placement frame according to the analysis result.
3. The method for prompting the falling object danger according to claim 1, wherein the height of the put object from the ground is obtained by the following steps:
emitting electromagnetic waves to the placed articles;
determining the distance between the placed article and the electromagnetic wave positioning device and the included angle between the connecting line of the placed article and the electromagnetic wave positioning device and the horizontal direction according to the electromagnetic waves reflected by the placed article;
and determining the height of the placed object from the ground according to the preset height of the electromagnetic wave positioning device from the ground, the distance between the placed object and the electromagnetic wave positioning device and the included angle between the connecting line of the placed object and the electromagnetic wave positioning device and the horizontal direction.
4. The method for prompting a falling object danger of claim 1, wherein the attribute information of the placed object further comprises: the material type of the placed articles;
the preset attribute condition further includes: when the height of the placed article from the ground is greater than or equal to a preset height threshold value, the material type of the placed article belongs to the material type of a preset dangerous article;
judging whether the placed articles meet preset attribute conditions according to the attribute information of the placed articles, and further comprising:
and when the height of the placed object from the ground is greater than or equal to a preset height threshold value, matching the material type of the placed object with the material type of a preset dangerous object, and judging whether the placed object meets a preset attribute condition according to a matching result.
5. The method for prompting the falling object danger according to claim 4, wherein the material type of the placed object is obtained by the following steps:
acquiring image data of the placed article;
and analyzing the image data of the placed objects by using the trained material recognition neural network model, and determining the material type of the placed objects according to the analysis result.
6. The method for prompting falling object danger according to claim 1, wherein the step of judging whether the target person exists in the designated area comprises the following steps:
and recognizing the face image of the target person in the designated area, and judging that the target person exists in the designated area when the face image of the target person is recognized in the designated area.
7. The method for indicating a risk of falling object according to claim 1, wherein the position information of the dangerous object at risk of falling in the designated area and the position information of the target person in the designated area are determined by using an electromagnetic wave positioning device.
8. A storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the steps of the method of providing a reminder of a fall hazard according to any one of claims 1 to 7.
9. A system for prompting a risk of falling objects, comprising an image pickup device, an electromagnetic wave positioning device, a controller, and a storage medium storing program code, wherein when the program code is executed by the controller, the controller controls the image pickup device and the electromagnetic wave positioning device to implement the method for prompting a risk of falling objects according to any one of claims 1 to 7.
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| CN102542570B (en) * | 2011-12-30 | 2014-05-07 | 北京华航无线电测量研究所 | Method for automatically detecting dangerous object hidden by human body in microwave image |
| TWI469096B (en) * | 2012-04-27 | 2015-01-11 | Hon Hai Prec Ind Co Ltd | System and method for detecting a falling object |
| CN103377537A (en) * | 2012-04-28 | 2013-10-30 | 鸿富锦精密工业（深圳）有限公司 | Overhead falling object early-warning system and method |
| CN104970627A (en) * | 2015-06-29 | 2015-10-14 | 芜湖扬宇机电技术开发有限公司 | Cultural relic protecting device |
| CN105279899A (en) * | 2015-11-02 | 2016-01-27 | 中山大学 | iBeacon-based indoor protective alarm system |
| JP2018067203A (en) * | 2016-10-20 | 2018-04-26 | 学校法人 埼玉医科大学 | Danger notification device, danger notification method, and calibration method for danger notification device |
| CN109327676B (en) * | 2017-07-31 | 2021-02-12 | 杭州海康威视数字技术股份有限公司 | High-altitude falling object monitoring system, method and device |
| CN107620988B (en) * | 2017-09-27 | 2019-07-05 | 珠海格力电器股份有限公司 | The alarm method and device of micro-wave oven |
| CN109035685B (en) * | 2018-06-26 | 2020-06-23 | 浙江树人学院 | High-altitude falling prevention system and method for infants |
| CN109377719A (en) * | 2018-10-30 | 2019-02-22 | 大连多维互动数字科技有限公司 | A kind of interior WatchChild system |
| CN110824425A (en) * | 2020-01-10 | 2020-02-21 | 支付宝(杭州)信息技术有限公司 | Indoor positioning method and device and electronic equipment |
| CN111252435B (en) * | 2020-03-15 | 2021-09-14 | 刘亮 | Safety device in factory storehouse |
| CN111797776A (en) * | 2020-07-07 | 2020-10-20 | 云知声智能科技股份有限公司 | Infant monitoring method and device based on posture |
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