CN111439644A - Alarming method of storage battery car in elevator and related device - Google Patents
Alarming method of storage battery car in elevator and related device Download PDFInfo
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- CN111439644A CN111439644A CN202010130375.5A CN202010130375A CN111439644A CN 111439644 A CN111439644 A CN 111439644A CN 202010130375 A CN202010130375 A CN 202010130375A CN 111439644 A CN111439644 A CN 111439644A
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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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
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Abstract
The application provides an alarming method of an elevator battery car and a related device thereof. The alarming method of the battery car in the elevator comprises the following steps: continuously acquiring an internal scene image of the elevator to obtain an internal scene image sequence; detecting targets in the internal scene image by using a target detection network algorithm, classifying the detected targets by using a target classification network algorithm, and judging whether the detected targets have a storage battery car target or not; the target classification network algorithm comprises a battery car type and a bicycle type; detecting whether the related information of the battery car target in the internal scene image sequence meets a preset requirement or not; and if so, performing alarm related operation. The method can ensure the detection accuracy of the battery car.
Description
Technical Field
The application relates to the technical field of detection, in particular to an alarming method of a battery car in an elevator and a related device thereof.
Background
In an elevator monitoring scene, a storage battery car often enters an elevator, on one hand, the storage battery car enters and exits the elevator and is inevitably collided with the elevator, the failure rate of the elevator is increased, and the aging speed of the elevator is accelerated; on the other hand, the battery car is parked in the corridor after riding the elevator, occupies the public space of the corridor, and has the hidden danger of fire safety; on the other hand, the charging of the battery car in the home of a resident poses a fire risk, so that how to prevent the battery car from entering the elevator is a difficult problem to be faced. In the actual elevator control scene, often have storage battery car and bicycle to be impeld in the elevator, storage battery car and bicycle outward appearance are similar, and storage battery car misclassification bicycle can appear in current detection algorithm, and the bicycle is the condition of storage battery car by mistake, so hardly guarantee the rate of accuracy that storage battery car detected.
Disclosure of Invention
The application provides an alarming method and a related device of a storage battery car in an elevator, which can avoid misdetection of a bicycle into the storage battery car and can ensure the accuracy of storage battery car detection.
In order to solve the technical problem, the application provides an alarming method of an elevator inner battery car, and the method comprises the following steps:
continuously acquiring an internal scene image of the elevator to obtain an internal scene image sequence;
detecting targets in the internal scene image by using a target detection network algorithm, classifying the detected targets by using a target classification network algorithm, and judging whether the detected targets have a storage battery car target or not; the target classification network algorithm comprises a battery car type and a bicycle type;
detecting whether the related information of the battery car target in the internal scene image sequence meets a preset requirement or not; and if so, performing alarm related operation.
Wherein, whether the relevant information that detects storage battery car target in the interior image sequence satisfies the requirement of predetermineeing includes:
tracking and monitoring a storage battery car target in the internal scene image sequence to obtain a continuous track of the storage battery car target;
determining the position information of the battery car target in the internal scene image according to the continuous track of the battery car target;
determining whether the battery car target is in the elevator or not according to the relationship between the position information and the elevator area in the interior image;
acquiring relevant information whether a storage battery car target in the internal scene image sequence is in the elevator;
and judging whether the related information meets the preset requirement.
Wherein, confirm the positional information of storage battery car target in the internal view image according to the continuous orbit of storage battery car target, confirm whether storage battery car target is in the elevator according to the regional relation of elevator in positional information and the internal view image, include:
determining the central point of the battery car target in the internal scene image according to the continuous track of the battery car target;
judging whether the central point is in a closed elevator area in the internal scene image;
if yes, determining that the battery car target is in the elevator;
if not, determining that the battery car target is not in the elevator.
Acquiring relevant information whether a storage battery car target in the internal scene image sequence is in an elevator or not; judging whether the related information meets the preset requirement or not; if yes, the alarm related operation comprises the following steps:
if the elevator is in a non-alarm state, acquiring the accumulated frame number of the internal scene images of the battery car target in the elevator in the internal scene image sequence, and judging whether the accumulated frame number meets a first preset requirement; if yes, alarming.
Acquiring relevant information whether a storage battery car target in the internal scene image sequence is in an elevator or not; judging whether the related information meets the preset requirement or not; if yes, the alarm related operation comprises the following steps:
if the elevator is in an alarm state, acquiring the continuous frame number of the internal scene images of which the battery car target is not in the elevator in the internal scene image sequence, and judging whether the continuous frame number meets a second preset requirement or not; if yes, the alarm is relieved.
Wherein, whether acquire storage battery car target in the interior image sequence before the relevant information in the elevator, include: whether the elevator is in an alarm state is confirmed through the alarm state bit;
and alarming, comprising: performing an alarm operation and changing an alarm state bit from an alarm state bit corresponding to a non-alarm state to an alarm state bit corresponding to an alarm state;
relieving the alarm, comprising: a disarm operation is performed and the alarm state bit is changed from an alarm state bit corresponding to the alarm state to an alarm state bit corresponding to the non-alarm state.
Wherein, the storage battery car target in the interior image sequence of tracking monitoring obtains the continuous orbit of storage battery car target, includes:
and if the number of the frames of the battery car targets lost exceeds the preset value, deleting the continuous tracks of the battery car targets exceeding the preset value.
The target classification network algorithm also comprises a background category.
In order to solve the technical problem, the application provides an alarm device of an elevator inner battery car, which comprises a memory and a processor; the memory is stored with a computer program, and the processor is used for executing the computer program to realize the steps of the alarming method of the battery car in the elevator.
In order to solve the technical problem, the application provides a device with a storage function, wherein a computer program is stored on the device, and when the computer program is executed by a processor, the steps of the alarming method for the battery car in the elevator are realized.
The method comprises the following steps: the target in the internal scene image can be detected through the target detection network algorithm, so that the storage battery car and the bicycle in the internal scene image can be detected, the detected target is classified through the target classification network algorithm, whether the storage battery car target exists in the detected target or not is judged, the situation that the storage battery car is detected as the storage battery car by mistake by directly detecting the storage battery car from the internal scene image through the target detection network algorithm can be prevented, and the accuracy of storage battery car detection is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a schematic flow chart of a first embodiment of an alarming method of an elevator battery car;
FIG. 2 is a schematic flow chart of a second embodiment of the alarming method of the battery car in the elevator;
FIG. 3 is a schematic diagram of the method for alarming the battery car in the elevator to judge whether the target of the battery car is in the elevator area;
FIG. 4 is a schematic structural diagram of an embodiment of an alarm device of an elevator battery car;
FIG. 5 is a schematic structural diagram of an embodiment of a computer storage medium according to the present application.
Detailed Description
In order to make those skilled in the art better understand the technical solution of the present application, the following describes in detail an alarming method for an intra-elevator battery car and a related device thereof provided by the present application with reference to the accompanying drawings and the detailed description.
Referring to fig. 1 in detail, fig. 1 is a schematic flow chart of a first embodiment of an alarm method for an elevator battery car. The camera can be installed at the top of the elevator car, the camera shoots real-time pictures of the interior scene of the elevator, and then the camera can transmit the shot interior scene image sequence of the elevator to the alarm device of the battery car in the elevator. The alarm device can judge whether the storage battery car exists in the elevator area in the interior image, then judge whether the relevant information of the storage battery car target in the interior image sequence in the elevator meets the preset requirement, and then execute alarm or cancel alarm operation on the basis of judging whether the relevant information meets the preset requirement. Preferably, the camera can capture a real-time picture of the whole elevator ground. In addition, the camera can be towards the lift-cabin door setting, and the camera can shoot the elevator button and reach floor information to alarm device can in time judge which floor resident's house that the storage battery car reachs through the elevator according to floor information, gives more auxiliary information of monitoring personnel.
The alarming method of the battery car in the elevator comprises the following steps.
S101: and continuously acquiring the internal scene image of the elevator to obtain an internal scene image sequence.
In one implementation mode, the alarm device can acquire the interior scene image of the elevator shot by the camera in real time, so that whether the battery car enters or leaves the elevator can be judged in time according to the interior scene image of the elevator. In another implementation mode, the alarm device can acquire the images of the interior scene of the elevator shot by the camera at intervals.
S102: detecting a target in the internal scene image by using a target detection network algorithm; and classifying the detected targets by using a target classification network algorithm, and judging whether the detected targets have the battery car targets.
The target classification network algorithm comprises a battery car type and a bicycle type.
The target in the internal scene image can be detected through the target detection network algorithm, the non-motor vehicle target in the internal scene image can be detected specifically, so that the battery car and the bicycle in the internal scene image can be detected, the detected targets are classified through the target classification network algorithm, whether the battery car target exists in the detected targets or not is judged, the condition that the battery car is detected as the battery car by mistake by directly detecting the battery car from the internal scene image through the target detection network algorithm can be prevented, and the accuracy of battery car detection is improved.
Specifically, when the target detection network algorithm detects a target from the internal scene image, the coordinate frame image of the target can be sent to the target classification network algorithm, and the target classification network algorithm can classify the detected target into a plurality of categories such as battery cars, bicycles and the like. If the type of the target is the target of the battery car, the battery car target can be determined to exist in the detected targets.
Furthermore, in order to further increase the detection accuracy of the storage battery car, the target classification network algorithm can classify detected targets into the storage battery car, the bicycle and the background, so that when the target detection network algorithm detects objects such as people and the like which are not non-motor vehicles into the non-motor vehicles, the target classification network algorithm can classify the targets which are not the non-motor vehicles into the background, the error of the target detection network algorithm can be corrected, and the detection accuracy of the storage battery car can be ensured.
S103: and detecting whether the related information of the battery car target in the internal scene image sequence meets the preset requirement.
And determining the related information of the battery car target in the internal scene image sequence according to the judgment result of the step S102. And then determining whether the related information meets the preset requirement.
If the preset requirement is satisfied, the process proceeds to step S104. And if the preset requirement is not met, returning to continue to detect the target of the next frame scene image through the target detection network algorithm.
S104: and carrying out alarm related operation.
The alarm-related operation may include an alarm operation and a cancel alarm operation.
Specifically, the alarm operation may be performed by sounding an alarm bell and/or playing an alarm voice.
When the elevator is in alarming operation, the elevator door can be kept in an opening state until the elevator cancels the alarm.
In the embodiment, the target in the internal scene image can be detected through the target detection network algorithm, so that the storage battery car and the bicycle in the internal scene image can be detected, the detected target is classified through the target classification network algorithm, whether the storage battery car target exists in the detected target or not is judged, the storage battery car is prevented from being detected as the storage battery car by mistake by directly detecting the storage battery car from the internal scene image through the target detection network algorithm, and the detection accuracy of the storage battery car is improved.
Referring to fig. 2 in detail, fig. 2 is a schematic flow chart of a second embodiment of an alarm method for an elevator battery car according to the present application. The alarming method of the battery car in the elevator comprises the following steps.
S201: and continuously acquiring the internal scene image of the elevator to obtain an internal scene image sequence.
S202: and judging whether the elevator is in an alarm state.
Whether the elevator is in the alarm state can be confirmed by confirming the alarm state bit. It will be appreciated that the alarm state bits corresponding to the alarm state may be different from the alarm state bits corresponding to the non-alarm state. Optionally, the alarm state bit corresponding to the alarm state is 1, and the alarm state bit corresponding to the non-alarm state is 0.
And when the current alarm state bit is confirmed to be the alarm state bit corresponding to the alarm state, the elevator is in the alarm state. And when the current alarm state bit is confirmed to be the alarm state bit corresponding to the non-alarm state, the elevator is in the non-alarm state.
When the elevator is in the alarm state, the process proceeds to step S208.
If the elevator is in the non-alarm state, the process proceeds to step S203.
S203: and judging whether the internal scene image has the battery car target or not.
If the battery car target exists in the internal scene image, the step S204 is entered. If the battery car target does not exist in the internal scene image, the battery car target does not exist, and the battery car target returns to continuously judge whether the battery car target exists in the next internal scene image.
S204: and judging whether the battery car target is in the elevator area.
If the storage battery car target exists in the internal scene image determined through the target detection network algorithm and the target classification network algorithm, whether the storage battery car target is in the elevator area can be judged.
Specifically, the position information of the battery car target in the internal scene image can be determined based on the internal scene image, and then whether the battery car target is in the elevator or not can be determined according to the relation between the position information and the elevator area in the internal scene image.
In one implementation, the position information of the battery car target in the internal view image is a contour position of the battery car target in the internal view image. The step of determining whether the battery car target is in the elevator according to the relationship between the position information and the elevator area in the interior image may include: acquiring a closed region (a white frame region shown in fig. 3) representing an elevator region in the interior image; judging whether the outline position of the battery car in the inside scene image is overlapped with the closed area; if the battery cars are overlapped, the battery cars can be judged to be in the elevator area; if not, the storage battery car is judged not to be in the elevator area.
In another implementation manner, the position information of the battery car target in the internal view image is a central point of the battery car target in the internal view image, and the step of determining whether the battery car target is in the elevator according to the relationship between the position information and the elevator area in the internal view image may include: acquiring a closed region (a white frame region shown in fig. 3) representing an elevator region in the interior image; then judging whether the central point of the battery car target in the internal scene image falls into a closed area; if the battery car falls into the closed area, the battery car can be judged to be in the elevator area; if the battery car does not fall into the closed area, the battery car can be judged not to be in the elevator area.
If the battery car target is in the elevator area, the step S205 is carried out; if the battery car target is not in the elevator area, the battery car does not return in the elevator area so as to continuously judge whether the battery car target exists in the next frame scene image.
The method for determining the position information of the battery car target in the internal scene image based on the internal scene image can include the following steps: tracking and monitoring a storage battery car target in the internal scene image sequence to obtain a continuous track of the storage battery car target; and then determining the position information of the battery car target in the internal scene image according to the continuous track of the battery car target.
The storage battery car target in the internal scene image sequence can be tracked and monitored in a Tracking by Detection mode, and a continuous track of the storage battery car target is obtained. Specifically, when the battery car target is detected from the internal scene image through the target detection network algorithm and the target classification network algorithm, the detected battery car target can be matched with the existing continuous track to obtain a new continuous track of the battery car target.
In order to facilitate statistics and management of the continuous trajectory of the battery car target, the state of the battery car target on each frame scene image can be described by four state bits, namely Create, Update, L ost and delete, wherein if the battery car target detected from a frame scene image is successfully matched with an existing continuous trajectory, the continuous trajectory of the battery car target can be updated, and the state bit corresponding to the frame scene image battery car target is Update.
In one implementation, if the status bit of a battery car target corresponding to a scene image of 13 or more frames is L ost, the status bit of the battery car target is updated to Delete, and the continuous track of the battery car target is deleted.
In another implementation, if the status of an intra-scene image corresponding to 13 or more consecutive frames of a battery car target is L ost, the status bit of the battery car target is updated to Delete, and the consecutive tracks of the battery car target are deleted.
In addition, in order to save the storage space of the continuous track and facilitate the management and statistics of the continuous track of the battery car target, an upper limit can be set for the length of the continuous track. Optionally, the upper limit of the length of the continuous track is 50 frames.
S205: and acquiring the accumulated frame number of the internal scene images of the battery car target in the elevator in the internal scene image sequence.
In one implementation mode, after the storage battery car target is determined to be in the elevator area, the accumulated frame number of the internal scene images of the existing storage battery car target can be determined, and then whether alarm operation is needed or not is judged according to the accumulated frame number of the internal scene images of the existing storage battery car target. It can be understood that the accumulated frame number of the internal scene images of the existing electromobile target can be determined through the continuous track of the electromobile target. Specifically, the number of digits of the Update appearing on the continuous track of the battery car target is counted, and the accumulated frame number of the internal scene images of the existing battery car target can be obtained by adding one to the number of digits of the Update appearing.
In another implementation mode, after the storage battery car target is determined to be in the elevator area, the accumulated frame number of the internal scene images of the storage battery car target in the elevator can be determined, and then whether the alarm is needed or not is determined according to the accumulated frame number of the internal scene images of the storage battery car target in the elevator. The accumulated frame number of the internal scene images of the storage battery car target in the elevator can also be determined through the continuous track of the storage battery car target.
S206: and judging whether the accumulated frame number meets a first preset requirement or not.
It can be understood that, in an implementation manner, the accumulated frame number exceeds the first threshold value, that is, the first preset requirement is met, so that only the battery car target is continuously tracked and is identified as an alarm candidate target, and misjudgment caused by individual misdetection of several frames in the target detection network algorithm and the target classification network algorithm can be prevented. The first threshold may be a user preset value, and optionally, the first threshold may be 15 frames, 20 frames, 25 frames, or 30 frames. Preferably, the first threshold is 20 frames, so that the situation that the accumulated frame number does not meet the first preset requirement when the battery car target enters a dead angle of the camera due to the fact that the first threshold is too large can be avoided.
If the accumulated frame number meets the first preset requirement, the step S207 is entered; if the accumulated frame number does not meet the first preset requirement, returning to continuously judge whether the battery car target exists in the next frame scene image due to the insufficient accumulated frame number.
S207: and executing alarm operation.
Specifically, the alarm operation may be performed by sounding an alarm bell and/or playing an alarm voice.
When the elevator is in alarming operation, the elevator door can be kept in an opening state until the elevator cancels the alarm.
And, the alarm state bit may be changed from an alarm state bit corresponding to a non-alarm state to an alarm state bit corresponding to an alarm state when the alarm operation is performed.
S208: and judging whether the battery car target exists in the internal scene image.
Specifically, firstly, detecting a target in the internal scene image by using a target detection network algorithm; and classifying the detected targets by using a target classification network algorithm, and judging whether the detected targets have the battery car targets.
If the battery car target exists in the internal view image, the process proceeds to step S209. If the battery car target does not exist in the internal scene image, the step S210 is performed.
S209: and judging whether the battery car target is in the elevator area.
As described in step S204, the detailed description is omitted here.
If the battery car target is in the elevator area, the battery car returns to continuously judge whether the battery car target exists in the next frame scene image or not due to the fact that the battery car exists in the elevator. If the battery car target is not in the elevator zone, the process goes to step S210.
S210: and acquiring the continuous frame number of the internal scene images without the battery car in the elevator in the internal scene image sequence.
It can be understood that the internal view images without the battery car in the elevator in the internal view image sequence include the internal view images without the battery car. Namely, once the battery car target does not exist in the internal scene image and the elevator is in the alarm state, the continuous frame number can be added by one to obtain the current continuous frame number. In addition, although the battery car targets exist in the interior image, all the battery car targets are not in the elevator area, the elevator is in an alarm state, and the continuous frame number can be added by one to obtain the current continuous frame number.
However, once the storage battery car exists in the elevator in the interior image, the continuous frame number needs to be cleared and then recalculated.
S211: and judging whether the continuous frame number meets a second preset requirement or not.
In an implementation manner, when the number of consecutive frames exceeds the second threshold, the second preset requirement is met, so that the influence of several individual false detections on the result in the target detection network algorithm and the target classification network algorithm can be prevented. The second threshold may be a preset value of a user, and optionally, the second threshold is 40 frames.
If the second preset requirement is met, the step S212 is entered; if the second preset requirement is not met, returning to continuously judge whether the battery car target exists in the next frame scene image or not due to the fact that the number of the continuous frames is insufficient.
S212: and releasing the alarm.
If the elevator door is always in an open state when the elevator is in an alarm state, the elevator door can be closed when the elevator cancels the alarm, or the elevator door can be closed after the elevator cancels the alarm for a period of time.
And, the alarm state bit may be changed from an alarm state bit corresponding to an alarm state bit corresponding to a non-alarm state when the alarm is released.
The alarming method of the battery car in the elevator is generally realized by the alarming device of the battery car in the elevator, so the application also provides the alarming device of the battery car in the elevator. Referring to fig. 4, fig. 4 is a schematic structural diagram of an embodiment of an alarm device of an elevator battery car. The alarming device 10 of the battery car in the elevator comprises a processor 12 and a memory 11; the memory 11 stores a computer program, and the processor 12 is used for executing the computer program to realize the steps of the alarming method of the battery car in the elevator.
The logic process of the alarm method of the battery car in the elevator is presented by a computer program, and in the aspect of the computer program, if the alarm method is sold or used as an independent software product, the alarm method can be stored in a computer storage medium, so the application provides the computer storage medium. Referring to fig. 5, fig. 5 is a schematic structural diagram of an embodiment of a computer storage medium 20 of the present application, in which a computer program 21 is stored, and when the computer program is executed by a processor, the steps in the method for alarming an electric vehicle in an elevator are implemented.
The computer storage medium 20 may be a medium that can store a computer program, such as a usb disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk, or may also be a server that stores the computer program, and the server may send the stored computer program to another device for running, or may run the stored computer program by itself. The computer storage medium 20 may be a combination of a plurality of entities from a physical point of view, for example, a plurality of servers, a server plus a memory, or a memory plus a removable hard disk.
The above embodiments are merely examples and are not intended to limit the scope of the present disclosure, and all modifications, equivalents, and flow charts using the contents of the specification and drawings of the present disclosure or those directly or indirectly applied to other related technical fields are intended to be included in the scope of the present disclosure.
Claims (10)
1. An alarming method of a battery car in an elevator is characterized by comprising the following steps:
continuously acquiring an internal scene image of the elevator to obtain an internal scene image sequence;
detecting targets in the internal scene image by using a target detection network algorithm, classifying the detected targets by using a target classification network algorithm, and judging whether the detected targets have a storage battery car target; the target classification network algorithm comprises a battery car type and a bicycle type;
detecting whether the related information of the battery car target in the internal scene image sequence meets a preset requirement or not; and if so, performing alarm related operation.
2. The method as claimed in claim 1, wherein the detecting whether the information related to the battery car target in the internal scene image sequence meets a preset requirement comprises:
tracking and monitoring the battery car target in the internal scene image sequence to obtain a continuous track of the battery car target;
determining the position information of the battery car target in the scene image according to the continuous track of the battery car target;
determining whether the battery car target is in the elevator or not according to the relationship between the position information and the elevator area in the internal scene image;
acquiring relevant information whether a storage battery car target in the internal scene image sequence is in the elevator;
and judging whether the related information meets a preset requirement.
3. The method of claim 2, wherein determining the position information of the battery car target in the internal scene image according to the continuous track of the battery car target, and determining whether the battery car target is in the elevator according to the relation between the position information and the elevator area in the internal scene image comprises:
determining the central point of the battery car target in the internal scene image according to the continuous track of the battery car target;
judging whether the central point is in an elevator area closed in the interior image;
if yes, determining that the battery car target is in the elevator;
if not, determining that the battery car target is not in the elevator.
4. The method according to claim 2, characterized in that the information about whether the battery car target in the internal scene image sequence is in the elevator is obtained; judging whether the related information meets a preset requirement or not; if yes, the alarm related operation comprises the following steps:
if the elevator is in a non-alarm state, acquiring the accumulated frame number of the internal scene images of the battery car target in the elevator in the internal scene image sequence, and judging whether the accumulated frame number meets a first preset requirement; if yes, alarming.
5. The method according to claim 4, characterized in that the relevant information whether the battery car target in the internal scene image sequence is in the elevator is obtained; judging whether the related information meets a preset requirement or not; if yes, the alarm related operation comprises the following steps:
if the elevator is in an alarm state, acquiring the continuous frame number of the internal scene images of which the battery car target is not in the elevator in the internal scene image sequence, and judging whether the continuous frame number meets a second preset requirement or not; if yes, the alarm is relieved.
6. The method of claim 5,
whether the battery car target in the acquisition interior image sequence is in the elevator relevant information before, include: confirming whether the elevator is in an alarm state or not through an alarm state bit;
the alarming comprises the following steps: performing an alarm operation and changing an alarm state bit from an alarm state bit corresponding to a non-alarm state to an alarm state bit corresponding to an alarm state;
the alarm relieving comprises the following steps: a disarm operation is performed and the alarm state bit is changed from an alarm state bit corresponding to the alarm state to an alarm state bit corresponding to the non-alarm state.
7. The method of claim 2, wherein the tracking and monitoring the battery car target in the internal scene image sequence to obtain a continuous track of the battery car target comprises:
and if the number of the frames of the battery car targets lost exceeds the preset value, deleting the continuous tracks of the battery car targets exceeding the preset value.
8. The method of claim 1, wherein the target classification network algorithm further comprises a context class.
9. The alarm device for the battery car in the elevator is characterized by comprising a memory and a processor; the memory stores a computer program, and the processor is used for executing the computer program to realize the steps of the alarming method of the battery car in the elevator according to any one of claims 1-8.
10. An apparatus having a memory function, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, carries out the steps of the method for alarming a battery car in an elevator according to any one of claims 1-8.
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| CN112261380A (en) * | 2020-10-26 | 2021-01-22 | 杭州海康威视数字技术股份有限公司 | Elevator control method and device |
| CN112347873A (en) * | 2020-10-26 | 2021-02-09 | 浙江新再灵科技股份有限公司 | Ladder control method |
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| CN112347873A (en) * | 2020-10-26 | 2021-02-09 | 浙江新再灵科技股份有限公司 | Ladder control method |
| CN112347873B (en) * | 2020-10-26 | 2022-10-14 | 浙江新再灵科技股份有限公司 | Ladder control method |
| CN112607542B (en) * | 2020-12-10 | 2022-07-26 | 中科曙光国际信息产业有限公司 | Elevator control method, elevator control device, computer equipment and storage medium |
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| CN113479732A (en) * | 2021-07-01 | 2021-10-08 | 成都新潮传媒集团有限公司 | Elevator control method, device and storage medium |
| CN113526284A (en) * | 2021-07-12 | 2021-10-22 | 九峰海洋生态建设集团有限公司 | Elevator monitoring method and system, storage medium and intelligent terminal |
| CN113666216A (en) * | 2021-08-12 | 2021-11-19 | 新疆爱华盈通信息技术有限公司 | Method and device for preventing electric vehicle from riding elevator, electronic equipment and medium |
| CN114148841A (en) * | 2021-11-16 | 2022-03-08 | 华南师范大学 | Elevator access permission control method and device based on target detection |
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Application publication date: 20200724 |