CN114408691A - Method, device and equipment for detecting elevator detained personnel and storage medium - Google Patents
Method, device and equipment for detecting elevator detained personnel and storage medium Download PDFInfo
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- CN114408691A CN114408691A CN202111520912.8A CN202111520912A CN114408691A CN 114408691 A CN114408691 A CN 114408691A CN 202111520912 A CN202111520912 A CN 202111520912A CN 114408691 A CN114408691 A CN 114408691A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
- B66B5/0006—Monitoring devices or performance analysers
- B66B5/0012—Devices monitoring the users of the elevator system
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
- B66B5/02—Applications of checking, fault-correcting, or safety devices in elevators responsive to abnormal operating conditions
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Abstract
The invention discloses a method, a device, equipment and a storage medium for detecting detained people in an elevator, wherein the method comprises the following steps: acquiring a recognition model; identifying the state of the elevator door and the identity of the elevator taking personnel based on the identification model to obtain an identification result; and determining whether the elevator taking personnel are detained or not based on the identification result. According to the technical scheme, ordinary personnel and workers in the elevator are distinguished based on the clothing of the elevator taking personnel, preset threshold values are set for the ordinary personnel and the workers respectively, and therefore the accuracy rate of judging the retention of the elevator taking personnel is improved, and the probability of false alarm is reduced.
Description
Technical Field
The invention belongs to the technical field of elevator systems, and particularly relates to a method, a device, equipment and a storage medium for detecting elevator detained personnel.
Background
When the elevator is running, the running failure of the elevator can be caused by some reasons, such as: the elevator stops running, and the elevator door cannot be opened, so that people are trapped in the elevator and the like; in order to timely acquire the abnormal situation that a person stays in the elevator for a long time, alarm is given, and then a professional is timely informed to rescue; the existing elevator detained personnel detection system obtains information whether people take the elevator or not through different types of sensors, such as an infrared sensor, an image sensor, a pressure sensor and the like; meanwhile, the opening and closing state of the elevator door is obtained from the elevator control system; if the elevator door is in a closed state for a long time and someone takes the elevator in the elevator door, the elevator door judges that the person stays and gives an alarm.
However, according to the above prior art, when a maintenance worker or a cleaning worker enters the elevator to work for a long time, a false alarm of the elevator may be caused.
Disclosure of Invention
The present invention is directed to solving, at least to some extent, one of the technical problems in the related art. Therefore, an object of the present invention is to provide a method, an apparatus, a device and a storage medium for detecting elevator detained personnel, so as to at least solve the problem of false alarm of the elevator caused by long-time operation when maintenance personnel or cleaning personnel enter the elevator.
In order to solve the above technical problem, an embodiment of the present invention provides the following technical solutions:
an elevator detained person detection method comprising:
acquiring a recognition model;
identifying the state of the elevator door and the identity of the elevator taking personnel based on the identification model to obtain an identification result;
and determining whether the elevator taking personnel are detained or not based on the identification result.
Optionally, the obtaining a recognition model includes:
obtaining an image in the elevator;
labeling labels on the internal images of the elevator to obtain training images;
training a model based on the training image to obtain a first recognition submodel and a second recognition submodel;
and obtaining the recognition model based on the first recognition submodel and the second recognition submodel.
Optionally, the obtaining the first identifier model includes:
acquiring all types of the work clothes;
photographing workers wearing each type of work clothes to obtain work clothes images; and the work clothes image is provided with a worker label, and the model is subjected to recognition training based on the work clothes image to obtain the first recognition sub-model.
Optionally, the obtaining a second identifier model includes:
acquiring a state image of an elevator door, wherein the state image comprises an opening state image of the elevator door and a closing state image of the elevator door; the state image is provided with a second label, and the second label comprises an opening label or a closing label; the opening state of the elevator door is matched with the opening label, and the closing state of the elevator door is matched with the closing label;
and training the model based on the state image to obtain the second recognition sub-model.
Optionally, the identification result includes any one of the following items:
the first identification submodel identifies a worker, and the second identification submodel identifies the opening;
the first identification submodel identifies a worker, and the second identification submodel identifies closing;
the first identification submodel identifies common personnel, and the second identification submodel identifies opening;
the first identification submodel identifies a common person, and the second identification submodel identifies closing;
the first identification submodel does not identify people, and the second identification submodel is opened;
the first identification submodel does not identify a person and the second identification submodel identifies a shutdown.
Optionally, determining whether the elevator passengers are detained based on the identification result includes:
the first sub-recognition model recognizes common personnel, and timing is carried out when the second sub-recognition model recognizes closing; timing once every a first preset time interval t, wherein the continuous closing time of the elevator door is nt, n is more than 1, and t is more than 0;
comparing the nt with a first preset threshold;
if the nt is larger than the first preset threshold value, determining that the elevator taking personnel are detained;
and if the nt is not greater than the first preset threshold, determining that the elevator taking personnel are not detained.
Optionally, determining whether the elevator passengers are detained based on the identification result includes:
the first identification submodel identifies a worker, and the second identification submodel is used for timing when being closed; timing once every second preset time interval m, wherein the continuous closing time of the elevator door is nm, and m is greater than 0;
comparing the nm with a second preset threshold;
if the nm is larger than the second preset threshold value, determining that the elevator passengers stay;
if the nm is not greater than the second preset threshold, determining that the elevator taking personnel are not detained;
wherein the second preset threshold is greater than the first preset threshold.
Optionally, the method further includes:
if the elevator taking personnel are determined to be detained, an alarm module gives an alarm;
and if the personnel on the elevator are determined not to be detained, the alarm module does not give an alarm.
The embodiment of the invention also provides a device for detecting the detained people in the elevator, which comprises:
the acquisition module is used for acquiring the identification model;
the identification module is used for identifying the state of the elevator door and the identity of the elevator taking personnel based on the identification model to obtain an identification result;
and the determining module is used for determining whether the elevator taking personnel are detained or not based on the identification result.
Embodiments of the present invention also provide an electronic device comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the method as described above when executing the computer program.
Embodiments of the present invention also provide a computer-readable storage medium comprising a stored computer program, wherein the computer program, when executed, controls an apparatus in which the computer-readable storage medium is located to perform the method as described above.
The embodiment of the invention has the following technical effects:
according to the technical scheme, 1) common personnel and workers in the elevator are distinguished based on the clothing of the elevator taking personnel, preset threshold values are set for the common personnel and the workers respectively, and therefore the accuracy rate of judging the detention of the elevator taking personnel is improved, and the probability of false alarm is reduced.
2) When the elevator breaks down, the alarm module can give an alarm timely and accurately, so that the worker can maintain the elevator timely and the safety of the elevator taking personnel is ensured.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
Fig. 1 is a schematic flow chart of a method for detecting detained people in an elevator according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an elevator detained person detection device provided by an embodiment of the invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
As shown in fig. 1, an embodiment of the present invention provides an elevator detained person detection method, including:
step S1: acquiring a recognition model;
specifically, the acquiring the recognition model includes: obtaining an image in the elevator; labeling labels on the internal images of the elevator to obtain training images; training a model based on the training image to obtain a first recognition model and a second recognition model; and acquiring the recognition model based on the first recognition model and the second recognition model.
The first identification submodel is used for identifying personnel in the elevator and labeling the personnel identity. The second identification submodel is used for identifying the opening and closing state of the elevator door.
In an actual application scene, camera equipment is installed in the elevator, and images in the elevator are acquired through the camera equipment.
Wherein the obtaining a first recognition model comprises:
acquiring all types of the work clothes;
photographing workers wearing each type of work clothes to obtain work clothes images; and the work clothes image is provided with a worker label, and the model is subjected to recognition training based on the work clothes image to obtain the first recognition sub-model.
When the first identification submodel identifies that a person in the elevator wears a working garment, a worker label is marked for the person; when the first identification submodel identifies the image of a person wearing clothes except the work clothes in the elevator, the first identification submodel marks a common person label for the person.
In a practical application scenario, the work clothes image includes a photo or a video.
Wherein the obtaining of the second identifier model comprises:
acquiring a state image of an elevator door, wherein the state image comprises an opening state image of the elevator door and a closing state image of the elevator door; the state image is provided with a second label, and the second label comprises an opening label or a closing label; the opening state of the elevator door is matched with the opening label, and the closing state of the elevator door is matched with the closing label;
and training the model based on the state image to obtain the second recognition sub-model.
When the second identification submodel identifies that the elevator door is opened, the second identification submodel marks an opening label for the elevator door; and when the second identification submodel identifies that the elevator door is closed, the second identification submodel marks a closing label for the elevator door.
According to the embodiment of the invention, the worker and the ordinary person can wear different clothes when taking the elevator, wherein the worker can wear the work clothes, and the ordinary person does not wear the work clothes, so that the identity of the elevator taking person is identified based on the wearing of the elevator taking person.
Step S2: identifying the state of the elevator door and the identity of the elevator taking personnel based on the identification model to obtain an identification result;
specifically, the identification result includes any one of the following items:
the first identification submodel identifies a worker, and the second identification submodel identifies the opening;
the first identification submodel identifies a worker, and the second identification submodel identifies closing;
the first identification submodel identifies common personnel, and the second identification submodel identifies opening;
the first identification submodel identifies a common person, and the second identification submodel identifies closing;
the first identification submodel does not identify people, and the second identification submodel is opened;
the first identification submodel does not identify a person and the second identification submodel identifies a shutdown.
When the first recognition submodel does not recognize the person, the elevator does not have a retention problem and does not perform retention analysis.
In an actual application scene, acquiring an elevator internal image based on camera equipment, sending the elevator internal image to an identification model, and analyzing the received elevator internal image by the identification model;
the identification model identifies the first label and the second label at the same time, and the identification result comprises the state of the elevator door and the identity of the elevator taking personnel under the four conditions.
Step S3: and determining whether the elevator taking personnel are detained or not based on the identification result.
Specifically, the determining whether the elevator boarding person is detained based on the identification result includes:
the first sub-recognition model recognizes common personnel, and timing is carried out when the second sub-recognition model recognizes closing; timing once every a first preset time interval t, wherein the continuous closing time of the elevator door is nt, n is more than 1, and t is more than 0;
comparing the nt with a first preset threshold;
if the nt is larger than the first preset threshold value, determining that the elevator taking personnel are detained;
and if the nt is not greater than the first preset threshold, determining that the elevator taking personnel are not detained.
n is a multiple parameter, and the size of the first preset time interval t can be adjusted according to needs to adjust the timing precision.
Optionally, determining whether the elevator passengers are detained based on the identification result includes:
the first recognition submodel recognizes the staff, and the second recognition submodel performs timing when recognizing the closing; timing once every second preset time interval m, wherein the continuous closing time of the elevator door is nm, and m is greater than 0;
comparing the nm with a second preset threshold;
if the nm is larger than the second preset threshold value, determining that the elevator passengers stay;
if the nm is not greater than the second preset threshold, determining that the elevator taking personnel are not detained;
the second preset threshold is larger than the first preset threshold, n is a multiple parameter, and the size of the second preset time interval m can be adjusted as required to adjust the timing precision. The values of m and t may be the same or different.
In an actual application scene, after the elevator is triggered based on elevator taking personnel, the elevator can ascend or descend by one floor, two floors and other different floors according to the specific requirements of the elevator taking personnel; therefore, the elevator door may stay open once 5 seconds after closing (assuming the time required for the elevator to move up one floor), or once an integer multiple of 5 seconds.
Therefore, when there is a person taking the elevator in the elevator, if the elevator runs normally, the time for opening and closing the elevator is shorter than the elevator dead time of the embodiment of the present invention, that is, the first preset time interval and the second preset time interval are shorter than the preset first preset threshold or second preset threshold (generally, several minutes), so in the embodiment of the present invention, in order to facilitate the detection of the state of the elevator door, the first preset threshold is set to be an integral multiple of the first preset time interval; the second preset threshold is set to an integer multiple of the second preset time interval.
Specifically, a first preset threshold (2 minutes, 5 minutes, 10 minutes and the like), a first preset time interval (5 seconds, 10 seconds, 15 seconds and the like), a second preset threshold (10 minutes, 15 minutes, 20 minutes and the like) and a second preset time interval (5 seconds, 10 seconds, 15 seconds and the like) can be set according to actual needs, and subsequently, the first preset threshold can be adjusted according to the actual use condition of the elevator, so that the normal operation of the elevator is ensured, and the personal safety of elevator passengers is ensured.
For example: the first preset threshold value is 5 minutes, and the second preset threshold value is 10 minutes; the first preset time interval and the second preset time interval are both set to be 10 seconds;
when the identification result identified by the identification model is ordinary personnel, closing, counting the continuous closing time of the elevator door, firstly comparing 10 seconds with 5 minutes, then sequentially comparing 20 seconds, 30 seconds, 40 seconds … … with 5 minutes, and if the continuous closing time nt of the elevator door is less than 5 minutes until the identification model identifies that the elevator door is opened, determining that the elevator taking personnel is not detained; and if nt is more than 5 minutes, determining that the elevator passengers are detained.
When the identification result identified by the identification model is that the ordinary person is closed, counting the continuous closing time of the elevator door, comparing 10 seconds with 10 minutes, sequentially comparing 20 seconds, 30 seconds and 40 seconds … … with 10 minutes, and determining that the elevator taking person is not detained if the continuous closing time nm of the elevator door is less than 10 minutes until the identification model identifies that the elevator door is opened; and if the nm is more than 10 minutes, determining that the elevator passengers are detained.
Optionally, when the identification result is that the first identification model identifies a common person and the second identification model identifies the opening state, the timing is not performed until the elevator door is identified to be closed.
Optionally, when the identification result is that the first identification model identifies the worker and the second identification model identifies the opening, the timing is not performed until the elevator door is identified to be closed.
According to the embodiment of the invention, common personnel and workers in the elevator are distinguished based on different clothing of elevator passengers, and preset threshold values are respectively set for the common personnel and the workers, so that the accuracy rate of judging the detention of the elevator passengers is improved, and the probability of false alarm is reduced.
An optional embodiment of the present invention, further comprising:
if the elevator taking personnel are determined to be detained, an alarm module gives an alarm; and if the personnel on the elevator are determined not to be detained, the alarm module does not give an alarm.
According to the embodiment of the invention, when the elevator breaks down, the alarm module can give an alarm timely and accurately, so that a worker can maintain the elevator timely, and the safety of elevator taking personnel is ensured.
As shown in fig. 2, an embodiment of the present invention further provides an elevator detained person detection apparatus 200, including:
an obtaining module 201, configured to obtain a recognition model;
the identification module 202 is used for identifying the state of the elevator door and the identity of the elevator taking personnel based on the identification model to obtain an identification result;
a determination module 203, configured to determine whether the elevator boarding personnel is detained based on the identification result.
In an optional embodiment of the present invention, the apparatus further includes an alarm module, where the alarm module is configured to receive the signal sent by the determination module 203 to determine that the elevator-taking personnel stays, and alarm based on the signal to determine that the elevator-taking personnel stays.
In an optional embodiment of the present invention, the apparatus further includes a first preset module, configured to set and subsequently adjust the first preset threshold and the second preset threshold.
In an optional embodiment of the present invention, the apparatus further includes a second preset module, configured to implement setting and subsequent adjustment of the first preset time interval and the second preset time interval.
In an alternative embodiment of the present invention, the apparatus further includes a timing module, wherein the timing module is configured to receive the signal identified by the identification module 202, and start timing after the timing module receives the signal indicating that the elevator door is closed.
In an optional embodiment of the present invention, the apparatus further includes a comparing module, where the comparing module is configured to receive the time counted by the timing module, select to obtain a first preset threshold, a first preset time interval or a second preset threshold, and a second preset time interval according to the recognition result of the recognition module 202, and compare the counted duration with the first preset threshold or the second preset threshold to obtain a comparison result.
Optionally, the obtaining a recognition model includes:
obtaining an image in the elevator;
labeling labels on the internal images of the elevator to obtain training images;
training a model based on the training image to obtain a first recognition submodel and a second recognition submodel;
and obtaining the recognition model based on the first recognition submodel and the second recognition submodel.
Optionally, the obtaining the first identifier model includes:
acquiring all types of the work clothes;
photographing workers wearing each type of work clothes to obtain work clothes images; and the work clothes image is provided with a worker label, and the model is subjected to recognition training based on the work clothes image to obtain the first recognition sub-model.
Optionally, the obtaining a second identifier model includes:
acquiring a state image of an elevator door, wherein the state image comprises an opening state image of the elevator door and a closing state image of the elevator door; the state image is provided with a second label, and the second label comprises an opening label or a closing label; the opening state of the elevator door is matched with the opening label, and the closing state of the elevator door is matched with the closing label;
and training the model based on the state image to obtain the second recognition sub-model.
Optionally, the identification result includes any one of the following items:
the first identification submodel identifies a worker, and the second identification submodel identifies the opening;
the first identification submodel identifies a worker, and the second identification submodel identifies closing;
the first identification submodel identifies common personnel, and the second identification submodel identifies opening;
the first identification submodel identifies a common person, and the second identification submodel identifies closing;
the first identification submodel does not identify people, and the second identification submodel is opened;
the first identification submodel does not identify a person and the second identification submodel identifies a shutdown.
Optionally, determining whether the elevator passengers are detained based on the identification result includes:
the first sub-recognition model recognizes common personnel, and timing is carried out when the second sub-recognition model recognizes closing; timing once every a first preset time interval t, wherein the continuous closing time of the elevator door is nt, n is more than 1, and t is more than 0;
comparing the nt with a first preset threshold;
if the nt is larger than the first preset threshold value, determining that the elevator taking personnel are detained;
and if the nt is not greater than the first preset threshold, determining that the elevator taking personnel are not detained.
Optionally, determining whether the elevator passengers are detained based on the identification result includes:
the first identification submodel identifies a worker, and the second identification submodel is used for timing when being closed; timing once every second preset time interval m, wherein the continuous closing time of the elevator door is nm, and m is greater than 0;
comparing the nm with a second preset threshold;
if the nm is larger than the second preset threshold value, determining that the elevator passengers stay;
if the nm is not greater than the second preset threshold, determining that the elevator taking personnel are not detained;
wherein the second preset threshold is greater than the first preset threshold.
Optionally, the method further includes:
if the elevator taking personnel are determined to be detained, an alarm module gives an alarm;
and if the personnel on the elevator are determined not to be detained, the alarm module does not give an alarm.
Embodiments of the present invention also provide an electronic device comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the method as described above when executing the computer program.
Embodiments of the present invention also provide a computer-readable storage medium comprising a stored computer program, wherein the computer program, when executed, controls an apparatus in which the computer-readable storage medium is located to perform the method as described above.
In addition, other configurations and functions of the device according to the embodiment of the present invention are known to those skilled in the art, and are not described herein in detail to reduce redundancy.
It should be noted that the logic and/or steps represented in the flowcharts or otherwise described herein, such as an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
In the description of the present invention, it is to be understood that the terms "central," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," "circumferential," and the like are used in the orientations and positional relationships indicated in the drawings for convenience in describing the invention and to simplify the description, and are not intended to indicate or imply that the referenced devices or elements must have a particular orientation, be constructed and operated in a particular orientation, and are therefore not to be considered limiting of the invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
In the present invention, unless otherwise expressly stated or limited, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can, for example, be fixedly connected, detachably connected, or integrally formed; can be mechanically or electrically connected; they may be directly connected or indirectly connected through intervening media, or they may be connected internally or in any other suitable relationship, unless expressly stated otherwise. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In the present invention, unless otherwise expressly stated or limited, the first feature "on" or "under" the second feature may be directly contacting the first and second features or indirectly contacting the first and second features through an intermediate. Also, a first feature "on," "over," and "above" a second feature may be directly or diagonally above the second feature, or may simply indicate that the first feature is at a higher level than the second feature. A first feature being "under," "below," and "beneath" a second feature may be directly under or obliquely under the first feature, or may simply mean that the first feature is at a lesser elevation than the second feature.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (11)
1. An elevator detained person detection method is characterized by comprising the following steps:
acquiring a recognition model;
identifying the state of the elevator door and the identity of the elevator taking personnel based on the identification model to obtain an identification result;
and determining whether the elevator taking personnel are detained or not based on the identification result.
2. The method of claim 1, wherein the obtaining a recognition model comprises:
obtaining an image in the elevator;
labeling labels on the internal images of the elevator to obtain training images;
training a model based on the training image to obtain a first recognition submodel and a second recognition submodel;
and obtaining the recognition model based on the first recognition submodel and the second recognition submodel.
3. The method of claim 2, wherein said deriving a first recognition submodel comprises:
acquiring all types of the work clothes;
photographing workers wearing each type of work clothes to obtain work clothes images; and the work clothes image is provided with a worker label, and the model is subjected to recognition training based on the work clothes image to obtain the first recognition sub-model.
4. The method of claim 2, wherein said deriving a second identifier model comprises:
acquiring a state image of an elevator door, wherein the state image comprises an opening state image of the elevator door and a closing state image of the elevator door; the state image is provided with a second label, and the second label comprises an opening label or a closing label; the opening state of the elevator door is matched with the opening label, and the closing state of the elevator door is matched with the closing label;
and training the model based on the state image to obtain the second recognition sub-model.
5. The method according to claim 1, wherein the recognition result comprises any one of the following items:
the first identification submodel identifies a worker, and the second identification submodel identifies the opening;
the first identification submodel identifies a worker, and the second identification submodel identifies closing;
the first identification submodel identifies common personnel, and the second identification submodel identifies opening;
the first identification submodel identifies a common person, and the second identification submodel identifies closing;
the first identification submodel does not identify people, and the second identification submodel is opened;
the first identification submodel does not identify a person and the second identification submodel identifies a shutdown.
6. The method of claim 5, wherein determining whether the elevator crew is stranded based on the identification comprises:
the first sub-recognition model recognizes common personnel, and timing is carried out when the second sub-recognition model recognizes closing; timing once every a first preset time interval t, wherein the continuous closing time of the elevator door is nt, n is more than 1, and t is more than 0;
comparing the nt with a first preset threshold;
if the nt is larger than the first preset threshold value, determining that the elevator taking personnel are detained;
and if the nt is not greater than the first preset threshold, determining that the elevator taking personnel are not detained.
7. The method of claim 5, wherein determining whether the elevator crew is stranded based on the identification comprises:
the first identification submodel identifies a worker, and the second identification submodel is used for timing when being closed; timing once every second preset time interval m, wherein the continuous closing time of the elevator door is nm, and m is greater than 0;
comparing the nm with a second preset threshold;
if the nm is larger than the second preset threshold value, determining that the elevator passengers stay;
if the nm is not greater than the second preset threshold, determining that the elevator taking personnel are not detained;
wherein the second preset threshold is greater than the first preset threshold.
8. The method of claim 1, further comprising:
if the elevator taking personnel are determined to be detained, an alarm module gives an alarm;
and if the personnel on the elevator are determined not to be detained, the alarm module does not give an alarm.
9. An elevator detained people detection device, characterized by comprising:
the acquisition module is used for acquiring the identification model;
the identification module is used for identifying the state of the elevator door and the identity of the elevator taking personnel based on the identification model to obtain an identification result;
and the determining module is used for determining whether the elevator taking personnel are detained or not based on the identification result.
10. An electronic device comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the method of any one of claims 1 to 8 when executing the computer program.
11. A computer-readable storage medium, comprising a stored computer program, wherein the computer program, when executed, controls an apparatus in which the computer-readable storage medium is located to perform the method of any of claims 1-8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111520912.8A CN114408691A (en) | 2021-12-13 | 2021-12-13 | Method, device and equipment for detecting elevator detained personnel and storage medium |
Applications Claiming Priority (1)
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| US20100045485A1 (en) * | 2008-07-28 | 2010-02-25 | Ron Dunsky | Stranded Aircraft Alerts Module |
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| CN112693986A (en) * | 2020-12-14 | 2021-04-23 | 西人马联合测控（泉州）科技有限公司 | Automatic alarming method, device and equipment for elevator people trapping and computer storage medium |
| CN112950907A (en) * | 2021-02-02 | 2021-06-11 | 浙江大华技术股份有限公司 | Early warning method, device, equipment and medium |
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| US20100045485A1 (en) * | 2008-07-28 | 2010-02-25 | Ron Dunsky | Stranded Aircraft Alerts Module |
| CN107346415A (en) * | 2017-06-08 | 2017-11-14 | 小草数语（北京）科技有限公司 | Method of video image processing, device and monitoring device |
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