CN109720945B - Elevator allocation method, device, equipment and computer readable storage medium - Google Patents
Elevator allocation method, device, equipment and computer readable storage medium Download PDFInfo
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- CN109720945B CN109720945B CN201810498503.4A CN201810498503A CN109720945B CN 109720945 B CN109720945 B CN 109720945B CN 201810498503 A CN201810498503 A CN 201810498503A CN 109720945 B CN109720945 B CN 109720945B
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Abstract
The invention discloses an elevator allocation method, which comprises the following steps: when a user is detected in an elevator riding area, acquiring a face image of the user; carrying out image analysis on the face image to obtain staff information of the user; allocating a corresponding elevator for the user according to the user working floor in the staff information; counting whether the number of people distributed to the elevator reaches a preset value within a preset time period; and when the number of people distributed to the elevator reaches a preset value within the first preset time or the current time is not in a preset time period, controlling the elevator to run. The invention also discloses an elevator allocation device, equipment and a computer readable storage medium. The elevator control method and the elevator control system can reduce the operation steps of the elevator used by a user, improve the user experience, and reduce the elevator residence time, thereby reducing the time of the staff waiting for the elevator, improving the elevator utilization rate, and improving the working efficiency of the staff.
Description
Technical Field
The present invention relates to the field of elevator allocation, and in particular, to an elevator allocation method, apparatus, device, and computer-readable storage medium.
Background
With the development of society, the demand of elevators is also higher as floors are built higher.
At present, when a general elevator is at an elevator entrance of an elevator taking floor, a user presses an upper direction arrow button or a lower direction arrow button according to the requirement of going upwards or downwards, and as long as a lamp on the button is on, the user can indicate that your call is recorded, and as long as the user waits for the elevator to arrive. After the elevator arrives and opens the door, let personnel in the car go out the elevator earlier, then call the elevator car again and get into the elevator car. After entering the car, according to the floor that you need to arrive, press the corresponding number button on the steering wheel in the car. Similarly, as long as the button lights up, it indicates that your selection layer has been recorded; at the moment, any other operation is not needed, and the elevator can only stop when reaching the destination floor. The elevator can open the door automatically after going to your destination floor.
Higher at the floor, when the number of people is more, the floor that the user selected can be more, and the floor that the elevator needs to stop is also more, leads to the elevator operating duration longer, and efficiency is also not high, and the time that the user needs to wait is longer.
Disclosure of Invention
The invention mainly aims to provide an elevator allocation method, an elevator allocation device, elevator allocation equipment and a computer readable storage medium, and aims to solve the technical problems that the existing elevator has long running time and low efficiency, and a user has long time to wait for the elevator.
In order to achieve the above object, the present invention provides an elevator allocation method including:
when a user is detected in an elevator riding area, acquiring a face image of the user;
carrying out image analysis on the face image to obtain staff information of the user;
allocating a corresponding elevator for the user according to the user working floor in the staff information;
counting whether the number of people distributed to the elevator reaches a preset value within a preset time period;
and when the number of people distributed to the elevator reaches a preset value within the first preset time or the current time is not in a preset time period, controlling the elevator to run.
Optionally, the step of performing image analysis on the face image to obtain staff information of the user includes:
extracting facial image features of the facial image by adopting a preset algorithm;
matching the facial image characteristics of the facial image with pre-stored facial image characteristics, and calculating the similarity between the facial image of the facial image and the pre-stored facial image;
detecting whether the similarity between the face image of the face image and a pre-stored face image is greater than a second threshold value;
if the similarity is larger than the second threshold value, confirming that a corresponding user of a pre-stored face image corresponding to the similarity is a target user matched with the face image;
and extracting staff information of the user according to the target user.
Optionally, the step of extracting the facial image feature of the facial image by using a preset algorithm includes:
carrying out feature point positioning on the face image of the face image;
segmenting the face image of the face image into a plurality of personal face areas according to the feature point positioning result;
extracting the features of the face area by adopting a depth network model corresponding to the face area;
and recombining the features extracted from each face region to obtain the image features of the face image.
Optionally, the step of counting whether the number of people allocated to the elevator reaches a preset value within a first preset time period includes:
counting whether the number of people distributed to the elevator reaches a preset value within a second preset time period;
if the number of people distributed to the elevator does not reach the preset value within the second preset time period, judging whether a user corresponding to the floor number associated with the current user is identified currently;
if the user corresponding to the floor number associated with the floor reached by the current user is identified, the identified user is allocated to the current elevator;
and counting whether the number of people distributed to the elevator at the current time reaches a preset value or not within a first preset time period, wherein the first preset time period comprises a second preset time period.
Optionally, after the step of performing image analysis on the face image to obtain staff information of the user, the method further includes:
extracting conference reservation information in a preset time period from a preset database;
matching the user with conference personnel in the conference reservation information;
and if the user is matched with the meeting personnel in the meeting reservation information, allocating a corresponding elevator for the user according to the meeting place in the meeting reservation information.
Optionally, before the step of acquiring the face image of the user when the user is detected in the elevator riding area, the method further includes:
extracting staff information of all users through a database for storing the staff information of the users;
counting users of each floor according to the staff information;
and allocating the elevators to the floors according to the users of the floors and the total number of the elevators.
Optionally, after the step of controlling the operation of the elevator when the number of people allocated to the elevator reaches the preset value within the preset time or the current time is not within the preset time period, the method further comprises:
counting the running times and frequency of each elevator within a third preset time period;
and generating an elevator use report according to the running times and frequency of each elevator, and adjusting elevator allocation according to the elevator use report.
In order to achieve the above object, the present invention also provides an elevator allocation apparatus including:
the system comprises an acquisition module, a display module and a control module, wherein the acquisition module is used for acquiring a face image of a user when the user is detected in an elevator riding area;
the image analysis module is used for carrying out image analysis on the face image to obtain staff information of the user;
the allocation module is used for allocating corresponding elevators for the users according to the working floors of the users in the staff information;
the counting module is used for counting whether the number of people distributed to the elevator reaches a preset value within a preset time period; and when the number of people distributed to the elevator reaches a preset value within the first preset time or the current time is not in a preset time period, controlling the elevator to run.
In addition, to achieve the above object, the present invention also provides an elevator allocation apparatus comprising a memory, a processor and an elevator allocation program stored on the memory and executable on the processor, which when executed by the processor implements the steps of the elevator allocation method as described above.
In addition, to achieve the above object, the present invention also provides a computer readable storage medium having stored thereon an elevator allocation program which, when executed by a processor, implements the steps of the elevator allocation method as described above.
According to the elevator allocation method, the device, the equipment and the computer readable storage medium, when the user is detected in the elevator riding area, the face image of the user is collected; then, carrying out image analysis on the face image to obtain staff information of the user; the corresponding elevator is allocated to the user according to the user working floor in the staff information, the user does not need to manually select the floor needing to be reached, so that the operation of selecting the elevator by the user is reduced, the user experience is improved, the floor where the elevator stays is reduced by allocating the elevator, and only the floor needing to be reached is required, so that the running time of the elevator is reduced, the running efficiency of the elevator is improved, and the time of the user for reaching the floor is reduced; counting whether the number of people distributed to the elevator reaches a preset value within a preset time period; when the number of people distributed to the elevator reaches a preset value within the first preset time or the current time is not within the preset time period, the elevator is controlled to operate, so that the time for a user to wait for the elevator is reduced, and the working efficiency of staff is improved.
Drawings
Fig. 1 is a schematic flow diagram of a first embodiment of an elevator allocation method of the invention;
fig. 2 is a detailed flow diagram of the steps of analyzing the face image to obtain the employee information of the user in the elevator allocation method according to the present invention;
FIG. 3 is a detailed flowchart of the step of extracting the facial image features of the facial image using a preset algorithm in the elevator allocation method of the present invention;
fig. 4 is a detailed flowchart of the step of counting whether the number of people allocated to the elevator reaches the preset value within the first preset time period in the second embodiment of the elevator allocation method of the invention;
fig. 5 is a schematic flow chart of a third embodiment of the elevator allocation method of the invention;
fig. 6 presents a schematic flow chart of a fourth embodiment of the elevator allocation method according to the invention;
fig. 7 presents a schematic flow chart of a fifth embodiment of the elevator allocation method according to the invention;
fig. 8 is a schematic structural diagram of a hardware operating environment according to an embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The invention provides an elevator allocation method.
Referring to fig. 1, fig. 1 is a schematic flow chart of a first embodiment of an elevator allocation method of the present invention.
In this embodiment, the elevator allocation method includes:
step S100, when a user is detected in an elevator riding area, acquiring a face image of the user;
in this embodiment, when the user needs to take the elevator for work, the user only needs to walk to the corresponding elevator taking area, and the image acquisition device can be triggered to acquire the face image of the user, so that the user identity recognition is performed. Further, since the user may pass through the elevator riding area at other times, and actually the user does not need to ride the elevator, the user may be set to acquire the face image of the user only when the user is detected during the peak period of work, and the specific peak period of work may be set according to the time of work of each company, for example, set to 8 o 'clock to 9 o' clock in the morning, 5 o 'clock to 6 o' clock in the afternoon, and the like, which is not limited herein.
Step S200, carrying out image analysis on the face image to obtain staff information of the user;
after the face image of the user is collected, the collected face image can be subjected to image analysis, so that the identity of the user is identified, and staff information of the user, such as the working floor of the user, the working time of the user and the like, is obtained.
Further, referring to fig. 2, the step S200 includes:
step S210, extracting facial image characteristics of the facial image by adopting a preset algorithm;
step S220, matching the facial image characteristics of the facial image with pre-stored facial image characteristics, and calculating the similarity between the facial image of the facial image and the pre-stored facial image;
in this embodiment, the preset algorithm may specifically be a joint bayesian algorithm. In the embodiment of the invention, the face image characteristics of the face image and the pre-stored face image characteristics are extracted by a combined Bayesian algorithm, then the extracted face image characteristics of the face image are matched with the pre-stored face image characteristics, and the similarity between the face image of the user face image and the pre-stored face image is calculated;
step S230, detecting whether the similarity between the face image of the face image and a pre-stored face image is greater than a second threshold value;
step S240, if the similarity is greater than the second threshold, determining that a user corresponding to a pre-stored face image corresponding to the similarity is a target user matched with the face image;
then detecting whether the similarity between the face image of the face image obtained by calculation and the prestored face image exceeds a second threshold value, if the prestored face image with the similarity with the face image of the face image larger than the second threshold value is detected, confirming that the user corresponding to the prestored face image with the similarity larger than the second threshold value is a target user matched with the current user;
and step S250, extracting staff information of the user according to the target user.
After the target user is determined, the staff member information of the user can be extracted from a database in which the staff member information is prestored according to the target user.
Further, referring to fig. 3, the step S210 includes:
step S211, positioning feature points of the face image;
step S212, segmenting the face image of the face image into a plurality of personal face areas according to the feature point positioning result;
in this embodiment, first, feature point positioning is performed on a face image of a face image, and the face image of the face image is divided into a plurality of personal face regions according to a feature point positioning result, for each face region;
step S213, extracting the characteristics of the face area by adopting a depth network model corresponding to the face area;
and step S214, recombining the features extracted from each face region to obtain the image features of the face image.
And extracting the features of the face region by adopting a depth network model corresponding to the face region, and then recombining the features extracted from each face region to obtain the image features of the face image. The feature points in the face image refer to feature points in the face such as the centers of both eyes, the tip of the nose, both corners of the mouth, and the like. The feature point positioning result can be represented by a feature point vector, and the feature point vector comprises the coordinates of each feature point. And respectively training corresponding deep networks in advance for different face areas. The depth network model is used for extracting image features from the face region, and the depth network model can adopt a depth Convolution Neural Network (CNNs). In the embodiment of the invention, the image characteristics of the face image are obtained by adopting the face recognition algorithm based on deep learning, and compared with other face recognition algorithms, the recognition accuracy is higher. In addition, for different face regions (such as eye regions, nose regions, mouth regions and the like), respective corresponding depth network models are trained respectively, and feature extraction is performed by using the respective corresponding depth network models, so that the accuracy of feature extraction is fully ensured.
Step S300, allocating a corresponding elevator for the user according to the user working floor in the staff information;
after the staff information of the user is obtained, the working floor of the user can be obtained, namely the floor which the user needs to reach is obtained, and then the corresponding elevator is allocated to the user according to the working floor of the user.
Step S400, counting whether the number of people distributed to the elevator reaches a preset value within a first preset time period;
after the current user is allocated, the subsequent operations of collecting images, allocating elevators and the like are continuously carried out on the users who arrive at the elevator riding area, so that the number of people in the elevators is changed, and whether the number of people allocated to the elevators reaches a preset value or not needs to be counted in a first preset time period; for example, counting whether the number of people in the elevator reaches a preset value within 30 seconds after the current elevator user begins, further, because the volume of each person is different, sometimes, when the number of people reaches the preset value, the elevator does not reach a saturation value, namely, the elevator can also accommodate the user, when the number of people reaches the preset value, whether the current elevator reaches the saturation state can be further determined through the acquisition equipment, whether the current elevator has a space is determined, if the space does not exist, the elevator is controlled to operate, if the space exists, the user is continuously allocated to enter the current elevator until the elevator reaches the saturation state, further, whether the elevator reaches the saturation state can be further determined according to the bearing capacity of the elevator, particularly, the weight of the people in the elevator can be monitored in real time through the weight sensor, and when the weight reaches the preset value, the elevator is controlled to operate, when the weight exceeds a preset value, triggering an alarm mechanism;
and S500, controlling the elevator to run when the number of people distributed in the elevator reaches a preset value within the first preset time or the current time is not in a preset time period.
When the number of people distributed to the elevator reaches a preset value within the first preset time, or the current time is not in the preset time period, namely the waiting time of the current elevator is reached, in order to avoid overlong waiting time of a user, the elevator can be controlled to run at the moment.
According to the elevator allocation method provided by the embodiment, when a user is detected in an elevator riding area, a face image of the user is collected; then, carrying out image analysis on the face image to obtain staff information of the user; the corresponding elevator is allocated to the user according to the user working floor in the staff information, the user does not need to manually select the floor needing to be reached, so that the operation of selecting the elevator by the user is reduced, the user experience is improved, the floor where the elevator stays is reduced by allocating the elevator, and only the floor needing to be reached is required, so that the running time of the elevator is reduced, the running efficiency of the elevator is improved, and the time of the user for reaching the floor is reduced; counting whether the number of people distributed to the elevator reaches a preset value within a preset time period; when the number of people distributed to the elevator reaches a preset value within the first preset time or the current time is not within the preset time period, the elevator is controlled to operate, so that the time for a user to wait for the elevator is reduced, and the working efficiency of staff is improved.
Further, referring to fig. 4, a second embodiment of the elevator allocation method of the invention is presented based on the first embodiment of the elevator allocation method of the invention.
In this embodiment, the step S400 includes:
step S410, counting whether the number of people distributed to the elevator reaches a preset value within a second preset time period;
step S420, if the number of people distributed to the elevator does not reach a preset value within a second preset time period, judging whether a user corresponding to a floor number related to the current user arrives is identified currently;
in the embodiment, in order to avoid that the time for the user to wait for the elevator to run is too long, whether the number of people distributed to the elevator reaches a preset value or not can be counted in a second preset time period; if the number of people distributed to the elevator does not reach the preset value within the second preset time period, judging whether a user corresponding to the floor number associated with the current user is identified currently; namely, whether a user corresponding to a floor number related to the floor where the current user arrives exists in the subsequent users needing to take the elevator is judged;
step S430, if a user corresponding to the floor number associated with the floor where the current user arrives is identified, the identified user is allocated to the current elevator;
and step S440, counting whether the number of people distributed to the elevator at the current time reaches a preset value within a first preset time period, wherein the first preset time period comprises a second preset time period.
If the user corresponding to the floor number associated with the floor reached by the current user is identified, the identified user is allocated to the current elevator; and further counting whether the number of people allocated to the elevator at the current time reaches a preset value or not within a first preset time period, wherein the first preset time period comprises the second preset time period, for example, if the first preset time period is 1 minute, the second preset time period can be 40 seconds or 45 seconds and the like. The floors related to the number of floors reached by the current user can be preset, for example, the number of elevator floors related to 10 floors is set to be 9 and/or 11 floors, so that the situation that the user waits too long when the number of users reaching a certain floor is small is avoided, the users are intelligently allocated, the waiting time of the users is shortened, the elevator staying time is shortened, and the elevator utilization rate is improved.
Further, referring to fig. 5, a third embodiment of the elevator allocation method of the invention is presented based on the first embodiment of the elevator allocation method of the invention.
In this embodiment, the steps after step S200 further include:
step S501, conference reservation information in a preset time period is extracted from a preset database;
in this embodiment, since the user may have a situation that the user wants to reach another floor in the morning, for example, the user wants to hold a meeting on another floor first, after obtaining the employee information of the user, the user may further extract meeting reservation information in a preset time period from a preset database, for example, a meeting at about 9 am, if the meeting holding time is holding from work, the probability that the user directly reaches the meeting floor is relatively high, and if the user holds a certain time after work, for example, 10 am, the user is still assigned to reach the floor where the user normally works;
step S502, matching the user with conference personnel in the conference reservation information;
after meeting appointment information in a preset time period is extracted and obtained, matching the user with meeting personnel in the meeting appointment information so as to judge whether the user needs to hold or participate in a meeting in the preset time period;
and step S503, if the user is matched with the conference staff in the conference reservation information, allocating a corresponding elevator for the user according to the conference place in the conference reservation information.
If the user is matched with the conference staff in the conference reservation information, the fact that the user needs to hold or participate in the conference within a preset time period is indicated, and a corresponding elevator is allocated to the user according to the conference place in the conference reservation information, so that the accuracy of allocating the elevator to the user is improved.
Further, when the user needs to attend or hold a meeting within a preset time period, but the user needs to arrive at a floor of a common office first, the user can manually select the floor needing to arrive by clicking the touch screen.
The elevator allocation method provided by the embodiment extracts the meeting appointment information in the preset time period from the preset database; then matching the user with conference personnel in the conference reservation information; and if the user is matched with the meeting personnel in the meeting reservation information, allocating a corresponding elevator for the user according to the meeting place in the meeting reservation information, thereby improving the accuracy of elevator allocation.
Further, referring to fig. 6, a fourth embodiment of the elevator allocation method of the invention is presented based on the first embodiment of the elevator allocation method of the invention.
In this embodiment, the steps before step S100 further include:
step S601, extracting staff member information of all users through a database for storing the staff member information of the users;
in this embodiment, the elevator can be specifically allocated according to the users on each floor, so that the staff information of all users needs to be extracted through the database for storing the staff information of the users;
step S602, counting users of each floor according to the staff information;
in step S603, an elevator is allocated to each floor based on the user and the total number of elevators on each floor.
Then, the users of all the floors are counted according to the working floors in the extracted staff information of the users, and then the elevators are allocated to all the floors according to the users of all the floors and the total number of the elevators.
Further, referring to fig. 7, a fifth embodiment of the elevator allocation method of the present invention is presented based on the first embodiment of the elevator allocation method of the present invention.
In this embodiment, the steps before step S500 further include:
step S701, counting the running times and frequency of each elevator in a third preset time period;
and S702, generating an elevator use report according to the running times and frequency of each elevator, and adjusting elevator allocation according to the elevator use report.
In this embodiment, in a third preset time period, the operation times and frequencies of the elevators can be counted, then elevator use reports are generated according to the operation times and frequencies of the elevators, and elevator allocation is adjusted according to the elevator use reports, so that allocation of the elevators is more reasonable, and the elevator use efficiency is improved.
An embodiment of the present invention further provides an elevator allocation apparatus, including:
the system comprises an acquisition module, a display module and a control module, wherein the acquisition module is used for acquiring a face image of a user when the user is detected in an elevator riding area;
the image analysis module is used for carrying out image analysis on the face image to obtain staff information of the user;
the allocation module is used for allocating corresponding elevators for the users according to the working floors of the users in the staff information;
the counting module is used for counting whether the number of people distributed to the elevator reaches a preset value within a preset time period; and when the number of people distributed to the elevator reaches a preset value within the first preset time or the current time is not in a preset time period, controlling the elevator to run.
It should be noted that the embodiments of the elevator allocation apparatus are basically the same as the embodiments of the elevator allocation method described above, and detailed description thereof is omitted here.
In addition, the embodiment of the invention also provides elevator distribution equipment. Fig. 7 is a schematic structural diagram of a hardware operating environment according to an embodiment of the present invention, as shown in fig. 8.
Fig. 8 is a schematic diagram of a hardware operating environment of the elevator allocation apparatus. The elevator distribution equipment of the embodiment of the invention can be terminal equipment such as a PC, a portable computer and the like.
As shown in fig. 8, the elevator allocation apparatus may include: a processor 1001, such as a CPU, a network interface 1004, a memory 1005, a user interface 1003, a communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Optionally, the elevator distribution equipment may also include cameras, RF (Radio Frequency) circuits, sensors, audio circuits, WiFi modules, and the like.
Those skilled in the art will appreciate that the elevator allocation apparatus configuration shown in fig. 8 does not constitute a limitation of elevator allocation apparatus and may include more or fewer components than shown, or some components in combination, or a different arrangement of components.
As shown in fig. 8, the memory 1005, which is a type of computer storage medium, may include an operating system, a network communication module, a user interface module, and an elevator assignment program. Wherein the operating system is a program that manages and controls the hardware and software resources of the elevator allocation apparatus, supporting the operation of the elevator allocation program as well as other software or programs.
In the elevator allocation apparatus shown in fig. 8, the user interface 1003 is mainly used to obtain data to be transmitted and output prompt information, and the network interface 1004 is mainly used to connect to a receiving end and perform data communication with the receiving end; the processor 1001 may be used to invoke an elevator allocation program stored in the memory 1005 and perform the steps of the elevator allocation method described above.
The specific implementation mode of the elevator allocation equipment of the invention is basically the same as that of each embodiment of the elevator allocation method, and the detailed description is omitted here.
Furthermore, an embodiment of the present invention also provides a computer-readable storage medium, on which an elevator allocation program is stored, which when executed by a processor implements the steps of the elevator allocation method as described above.
The specific implementation of the computer-readable storage medium of the present invention is substantially the same as the embodiments of the elevator allocation method described above, and will not be described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention or portions thereof contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (9)
1. An elevator allocation method, characterized in that the elevator allocation method comprises the steps of:
when a user is detected in an elevator riding area, acquiring a face image of the user;
carrying out image analysis on the face image to obtain staff information of the user;
allocating a corresponding elevator for the user according to the user working floor in the staff information;
counting whether the number of people distributed to the elevator reaches a preset value within a preset time period;
when the number of people distributed to the elevator reaches a preset value within a first preset time period or the current time is not within a preset time period, controlling the elevator to run;
wherein, the step of counting whether the number of people allocated to the elevator reaches a preset value in a first preset time period comprises the following steps:
counting whether the number of people distributed to the elevator reaches a preset value within a second preset time period;
if the number of people distributed to the elevator does not reach the preset value within the second preset time period, judging whether a user corresponding to the floor number associated with the current user is identified currently;
if the user corresponding to the floor number associated with the floor reached by the current user is identified, the identified user is allocated to the current elevator;
and counting whether the number of people distributed to the elevator at the current time reaches a preset value or not within a first preset time period, wherein the first preset time period comprises a second preset time period.
2. The elevator allocation method according to claim 1, wherein the step of performing image analysis on the face image to obtain staff member information of the user comprises:
extracting facial image features of the facial image by adopting a preset algorithm;
matching the facial image characteristics of the facial image with pre-stored facial image characteristics, and calculating the similarity between the facial image of the facial image and the pre-stored facial image;
detecting whether the similarity between the face image of the face image and a pre-stored face image is greater than a second threshold value;
if the similarity is larger than the second threshold value, confirming that a corresponding user of a pre-stored face image corresponding to the similarity is a target user matched with the face image;
and extracting staff information of the user according to the target user.
3. The elevator allocation method according to claim 2, wherein the step of extracting the facial image feature of the face image using a preset algorithm comprises:
carrying out feature point positioning on the face image of the face image;
segmenting the face image of the face image into a plurality of personal face areas according to the feature point positioning result;
extracting the features of the face area by adopting a depth network model corresponding to the face area;
and recombining the features extracted from each face region to obtain the image features of the face image.
4. The elevator allocation method according to claim 1, wherein said step of performing image analysis on said face image to obtain employee information of said user further comprises:
extracting conference reservation information in a preset time period from a preset database;
matching the user with conference personnel in the conference reservation information;
and if the user is matched with the meeting personnel in the meeting reservation information, allocating a corresponding elevator for the user according to the meeting place in the meeting reservation information.
5. The elevator allocation method according to claim 1, wherein the step of acquiring the face image of the user when the user is detected in the elevator riding area is preceded by the step of:
extracting staff information of all users through a database for storing the staff information of the users;
counting users of each floor according to the staff information;
and allocating the elevators to the floors according to the users of the floors and the total number of the elevators.
6. The elevator allocation method according to any one of claims 1-5, characterized in that after the step of controlling the operation of the elevator when the number of people allocated to the elevator within a preset time period reaches a preset value or the current time is not within a preset time period, the method further comprises:
counting the running times and frequency of each elevator within a third preset time period;
and generating an elevator use report according to the running times and frequency of each elevator, and adjusting elevator allocation according to the elevator use report.
7. An elevator allocation apparatus, characterized in that the elevator allocation apparatus comprises:
the system comprises an acquisition module, a display module and a control module, wherein the acquisition module is used for acquiring a face image of a user when the user is detected in an elevator riding area;
the image analysis module is used for carrying out image analysis on the face image to obtain staff information of the user;
the allocation module is used for allocating corresponding elevators for the users according to the working floors of the users in the staff information;
the counting module is used for counting whether the number of people distributed to the elevator reaches a preset value within a preset time period; when the number of people distributed to the elevator reaches a preset value within a first preset time period or the current time is not within a preset time period, controlling the elevator to run;
the counting module is also used for counting whether the number of people distributed to the elevator reaches a preset value within a second preset time period;
the counting module is further used for judging whether a user corresponding to the floor number related to the floor number reached by the current user is identified currently or not if the number of people distributed to the elevator does not reach the preset value within the second preset time period;
the statistical module is also used for allocating the identified user to the current elevator if the user corresponding to the floor related to the number of floors reached by the current user is identified;
the counting module is further used for counting whether the number of people distributed to the elevator at the current time reaches a preset value within a first preset time period, wherein the first preset time period comprises a second preset time period.
8. An elevator allocation apparatus, characterized in that the elevator allocation apparatus comprises a memory, a processor and an elevator allocation program stored on the memory and executable on the processor, which elevator allocation program, when executed by the processor, implements the steps of the elevator allocation method according to any one of claims 1 to 6.
9. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon an elevator allocation program which, when executed by a processor, implements the steps of the elevator allocation method according to any one of claims 1 to 6.
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| CN110516902B (en) * | 2019-07-11 | 2023-08-22 | 平安科技（深圳）有限公司 | Intelligent scheduling method, intelligent scheduling device, computer system and readable storage medium |
| CN115108419B (en) * | 2022-08-26 | 2023-01-06 | 中国工业互联网研究院 | Smart park multifunctional cooperative management and control method, device, equipment and storage medium |
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| US4838384A (en) * | 1988-06-21 | 1989-06-13 | Otis Elevator Company | Queue based elevator dispatching system using peak period traffic prediction |
| WO2005019084A1 (en) * | 2003-08-11 | 2005-03-03 | Otis Elevator Company | Correlating elevators destination floors with elevators serving those floors by means of color |
| CN101386385A (en) * | 2008-10-29 | 2009-03-18 | 北京中星微电子有限公司 | Elevator control method and apparatus |
| JP5400674B2 (en) * | 2010-03-16 | 2014-01-29 | 大成建設株式会社 | Elevator control system and elevator control method |
| JP2014159325A (en) * | 2013-02-20 | 2014-09-04 | Mitsubishi Electric Corp | Call registration device and method for elevator |
| WO2014171296A1 (en) * | 2013-04-18 | 2014-10-23 | 株式会社日立製作所 | Elevator system |
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| WO2017072910A1 (en) * | 2015-10-29 | 2017-05-04 | 三菱電機株式会社 | Destination floor registration device |
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