CN114261858A - Data processing method, device, equipment, system and computer storage medium - Google Patents
Data processing method, device, equipment, system and computer storage medium Download PDFInfo
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Abstract
The application discloses a data processing method, a device, equipment, a system and a computer storage medium. The method comprises the following steps: when detecting that the number of first target objects in an elevator is smaller than the number of floors of a selected floor, acquiring image information corresponding to the first target objects; analyzing the image information to determine reference floor information; adjusting the selected floor by using the reference floor information to obtain first target floor information; and controlling the elevator to run based on the first target floor information. The technical scheme provided by the application can play a role in improving the service efficiency of providing elevator taking service for the user.
Description
Technical Field
The present application relates to the field of intelligent control technologies, and in particular, to a data processing method, apparatus, device, system, and computer storage medium.
Background
At present, an elevator control system generally controls operation of an elevator by depending on selection of a user on keys in the elevator service process, when elevator taking personnel are more, due to the fact that the number of people in the elevator is more crowded, after the user selects a floor by mistake, more time is consumed for canceling a key option of misoperation, the elevator control system only can cancel a wrong floor by depending on cancellation key operation of the user, the elevator control system is single in a wrong floor canceling mode, user experience is poor, and efficiency of providing service for the user is low.
Disclosure of Invention
The embodiment of the application provides an implementation scheme different from that of the prior art, so as to solve the technical problem that the service efficiency of providing elevator taking service for users in the prior art is low.
In a first aspect, the present application provides a data processing method, including: when detecting that the number of first target objects in an elevator is smaller than the number of floors of a selected floor, acquiring image information corresponding to the first target objects; analyzing the image information to determine reference floor information; adjusting the selected floor by using the reference floor information to obtain first target floor information; and controlling the elevator to run based on the first target floor information.
In a second aspect, the present application provides a data processing apparatus comprising: the elevator control device comprises an acquisition module, a selection module and a display module, wherein the acquisition module is used for acquiring image information corresponding to a first target object when detecting that the number of the first target object in the elevator is smaller than the number of floors of a selected floor; the determining module is used for analyzing the image information and determining reference floor information; the adjusting module is used for adjusting the selected floor by utilizing the reference floor information to obtain first target floor information; and the control module is used for controlling the elevator to run based on the first target floor information.
In a third aspect, the present application provides an electronic device, comprising:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the method of the first aspect or any of its possible implementations via execution of the executable instructions.
In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method of the first aspect or any of the possible implementation manners of the first aspect.
In a fifth aspect, the present application provides a computer program product, which includes a computer program that, when executed by a processor, implements the method of the first aspect or any of the possible implementations of the first aspect.
In a sixth aspect, an embodiment of the present application provides a data processing system, including: the image shooting device is used for acquiring image information corresponding to the first target object; the elevator control equipment is used for acquiring image information corresponding to a first target object when detecting that the number of the first target object in the elevator is smaller than the number of floors of a selected floor; analyzing the image information to determine reference floor information; adjusting the selected floor by using the reference floor information to obtain first target floor information; and controlling the elevator to run based on the first target floor information.
The method comprises the steps that when the number of first target objects in the elevator is detected to be smaller than the number of floors of a selected floor, image information corresponding to the first target objects is obtained; analyzing the image information to determine reference floor information; adjusting the selected floor by using the reference floor information to obtain first target floor information; the scheme for controlling the elevator to run based on the first target floor information can automatically adjust the selected floor according to the situation based on the analysis of the image, can automatically cancel the wrong floor selected by the user, improves the flexibility of the mode for adjusting the selected floor, and also improves the service efficiency for providing elevator taking service for the user.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative efforts. In the drawings:
fig. 1a is a schematic flowchart of a data processing method according to an embodiment of the present application;
fig. 1b is a schematic scene diagram of a shooting manner of image information corresponding to a first target object according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application and should not be construed as limiting the present application.
The terms "first" and "second," and the like in the description, the claims, and the drawings of the embodiments of the present application are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The following describes the technical solutions of the present application and how to solve the above technical problems with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
Fig. 1a is a schematic flow chart of a data processing method provided in an exemplary embodiment of the present application, where an execution subject of the method may be an elevator control device, and the method at least includes the following steps:
s101, when the number of first target objects in an elevator is detected to be smaller than the number of floors of a selected floor, acquiring image information corresponding to the first target objects;
s102, analyzing the image information to determine reference floor information;
s103, adjusting the selected floor by using the reference floor information to obtain first target floor information;
and S104, controlling the elevator to run based on the first target floor information.
Specifically, the aforementioned first target objects may be users or delivery robots in the elevator, and accordingly, the number of the first target objects is the total number of the first target objects, specifically, the number of the first target objects may be determined according to images in the elevator captured by a capturing device disposed inside the elevator, and a specific capturing scene may be shown in fig. 1 b.
Optionally, determining the number of first target objects according to the intra-elevator image for the first target objects may specifically include: and taking the images in the elevator aiming at the first target object as the reference of a preset determination model, executing the preset determination model, and obtaining the number of the first target objects, wherein the preset determination model is a machine learning model obtained by training a plurality of samples.
Further, the selected floor may be a floor selected by the first target object through a key in the elevator or an intelligent voice control system, and the image information corresponding to the first target object may be the same as the image in the elevator for the first target object captured by the capturing device provided in the elevator.
Further, in step S102, analyzing the image information to determine the reference floor information includes:
s1021, analyzing the image information, and determining a first individual information set corresponding to the first target object;
and S1022, determining the reference floor information by using a preset information base and the first individual information set.
Optionally, in S1021, analyzing the image information, and determining the first individual information set corresponding to the first target object may specifically include: and carrying out image recognition on the image information to obtain a recognition result, and determining a first individual information set according to the recognition result.
Optionally, in S1021, analyzing the image information, and determining the first individual information set corresponding to the first target object may specifically include: and taking the image information as a reference of a preset image recognition model, and executing the image recognition model to obtain the first individual information set, wherein the image recognition model is a machine learning model obtained by training a plurality of samples.
Specifically, the first individual information in the aforementioned first individual information set may be face information of the user.
Further, the preset information base may include a plurality of pre-stored individual information (also facial information) corresponding to a plurality of preset target objects (including users and/or delivery robots), and a plurality of corresponding pre-stored floor information; the pre-stored individual information and the pre-stored floor information can be in one-to-one correspondence, and the pre-stored floor information corresponding to the different pre-stored individual information can be the same or different.
The pre-stored floor information corresponding to the pre-stored individual information can be received from user equipment, and the user equipment can upload the corresponding relation between the pre-stored individual information and the corresponding pre-stored floor information to the elevator control equipment according to an operation instruction of a user and store the information to the information base.
Further, in the aforementioned S1022, the determining the reference floor information by using the preset information base and the first individual information set may include:
determining second individual information corresponding to each first individual information in the first individual information set from a plurality of pre-stored individual information stored in a preset information base to obtain a second individual information set corresponding to the first individual information set;
and determining the reference floor information according to the second individual information set and the preset information base.
Specifically, the pre-stored individual information with the similarity greater than the preset similarity to the first individual information in the plurality of pre-stored individual information is the second individual information.
Optionally, the number of second individual information in the second individual information set is the same as the number of first individual information in the first individual information set.
Further, determining the reference floor information according to the second individual information set and the preset information base may include:
pre-stored floor information corresponding to each second individual information in the second individual information set is obtained from the information base, and an information set of a floor to be determined is obtained;
and determining the reference floor information according to the information set of the floor to be determined.
Optionally, the pending floor information set is the same as the reference floor information.
Further, the number of the first target objects may be 1 or more, and accordingly, the number of the first individual information included in the first individual information set, the number of the second individual information in the second individual information set, and the number of the reference floors may be 1 or more, which is not limited in this application.
Optionally, when the number of floors corresponding to the reference floor information is multiple, the reference floor information may be deduplicated, that is, the same reference floor information as the corresponding floor is deduplicated to obtain deduplicated reference floor information, and the deduplicated reference floor information is used to adjust the selected floor.
Further, in the step S103, the step of adjusting the selected floor by using the reference floor information to obtain the first target floor information includes:
s1031, determining floors to be analyzed which are different from all floors in reference floors corresponding to the reference floor information in the selected floors;
s1032, determining the first target floor information according to the floor to be analyzed.
Specifically, in some optional embodiments of the present application, if the number of reference floors corresponding to the reference floor information is the same as the number of first target objects, and the number of floors to be analyzed is 1, determining, according to the floors to be analyzed, the first target floor information includes: removing the floors to be analyzed from the selected floors to obtain the remaining selected floors; and determining the first target floor information according to the remaining selected floors.
In other optional embodiments of the present application, if the number of reference floors corresponding to the reference floor information is smaller than the number of first target objects, that is, if the number of floors to be analyzed is multiple, determining, according to the floors to be analyzed, the first target floor information includes:
obtaining historical selection floor information corresponding to the first target object within a first preset time period;
according to historical floor selection information, determining ranking information of the selected times of the floors to be analyzed;
determining floors to be eliminated in the floors to be analyzed by utilizing the ranking information;
removing the floors to be removed from the selected floors to obtain the remaining selected floors;
and determining the first target floor information according to the remaining selected floors.
Specifically, the determining the floor to be eliminated in the floors to be analyzed by using the ranking information includes:
acquiring the quantity difference between the quantity of the floors of the selected floors and the quantity of the first target objects;
and taking the floors to be analyzed corresponding to the quantity difference in the ranking information as floors to be eliminated.
In other alternative embodiments, the aforementioned difference in number may also be the difference in number between the number of floors of the selected floor and the number of reference floors.
Optionally, the aforementioned ranking rule for the floors to be analyzed may be that the floors to be analyzed are ranked more forward as the number of times of selection is greater, that is, at least more floors to be analyzed are ranked according to the number of times of selection, and the floors to be analyzed, which count down the number difference in the ranking result, are the floors to be analyzed corresponding to the number difference.
Further, the method further comprises:
s11, acquiring an image to be analyzed corresponding to a second target object acquired by first equipment outside the elevator;
s12, acquiring a historical image set acquired by a second device in a historical time period, wherein the historical image set corresponds to a target object set, the target object set is a set formed by one or more third target objects, and image information of the third target objects is contained in one or more historical images in the historical image set;
s13, determining whether the second target object is contained in the target object set or not based on the historical image set of the image to be analyzed corresponding to the target object set;
and S14, if the second target object is contained in the target object set, deleting the image to be analyzed corresponding to the second target object.
Specifically, the first device may be a camera installed at an elevator entrance or a corridor, and the image to be analyzed corresponding to the second target object may be an image of the second target object, and optionally, the step S11 may be further triggered when the second target object is detected to be present within the preset area range based on a target detection method, where a detection program corresponding to the target detection method may be installed in the first device, and may also be installed in the elevator control device.
In other alternative embodiments of the present application, the second device may be a photographing apparatus disposed at a preset position different from the first device, and a distance between the second device and the first device may be smaller than a second preset distance.
Specifically, when the second target object moves out of the shooting area corresponding to the image shot by the second device and the second target object appears in the shooting area corresponding to the first device within a preset time period, the aforementioned step S12 may be triggered, and specifically, the re-identification of the second target object may be implemented by a Person re-identification (pedestrian re-identification) technology.
Optionally, the second device and the first device may also be the same device, and the application is not limited thereto.
Optionally, in the foregoing S13, the determining whether the second target object is included in the target object set based on the image to be analyzed and the historical image set includes:
s131, determining characteristic information to be analyzed of the image to be analyzed;
s132, acquiring a characteristic information set corresponding to the historical image set;
s133, if the characteristic information set contains target characteristic information of which the cosine distance from the characteristic information to be analyzed is smaller than a first preset distance, determining that the second target object is contained in the target object set, and if the characteristic information set does not contain the target characteristic information of which the cosine distance from the characteristic information to be analyzed is smaller than the first preset distance, determining that the second target object is not contained in the target object set.
Specifically, the feature information in the feature information set, whose cosine distance from the feature information to be analyzed is smaller than a first preset distance, is the target feature information, and the target feature information may be specifically the same as the feature information to be analyzed.
Further, determining the feature information to be analyzed of the image to be analyzed may include: and taking the image to be analyzed as a parameter of a feature extraction model, and executing the feature extraction model to obtain the feature information to be analyzed, wherein the feature extraction model is a machine learning model obtained by training a plurality of samples.
Specifically, the aforementioned feature information to be analyzed may be vector information related to image information of an image to be analyzed, and the vector information may be related to color information of the image to be analyzed.
Further, before the step S131, the application may further perform preprocessing on the feature image to be analyzed, where the preprocessing may be image capture processing, and accordingly, the method further includes: and intercepting the image to be analyzed according to a preset rule to obtain the image to be analyzed containing key information (hereinafter, the image to be analyzed may be referred to as a key image). The image information contained in the key image is smaller than the image information contained in the original image to be analyzed, and the preset rule may be any one of the following rules: intercepting the face part in the image to be analyzed, and intercepting the face part of the image to be analyzed.
It should be noted that, when the image to be analyzed in S131 is the image to be analyzed before being cut, each image in the historical image set may be an original image acquired by the second device, and when the image to be analyzed in S131 is the cut image to be analyzed including the key information, each image in the historical image set may be an image obtained by cutting the original image acquired by the second device according to the preset rule.
Accordingly, the feature information set corresponding to the historical image set includes feature information corresponding to each image in the historical image set, and the feature information is vector information related to image information of the image, and the vector information can be related to color information of the corresponding image.
Optionally, the feature information to be analyzed is the same as the target feature information.
Alternatively, the manner of determining the feature information to be analyzed of the image to be analyzed, and determining the feature information of the images in the historical image set may be based on the ReID algorithm. The recognition of the target object which appears recently can be realized by adopting the ReID algorithm, and the recognition problem that the target object enters the visual field again after leaving the visual field in a short time is solved.
Further, the method further comprises:
and if the second target object is not contained in the target object set, controlling the elevator to run to the current floor where the second target object is located so as to enable the second target object to take the elevator, wherein the current floor where the second target object is located can be determined according to the position of the first equipment.
Further, the method further comprises:
obtaining an elevator descending image corresponding to an elevator descending object sent by third equipment;
determining a target called floor corresponding to the elevator descending object based on the elevator descending image;
and if the landing floor of the landing object is different from the target called floor, displaying corresponding prompt information.
The third device may be a camera installed at an elevator entrance or a corridor. In some optional embodiments of the present application, the determining the target called floor corresponding to the elevator descending object based on the elevator descending image may include:
re-identifying the elevator descending object through the elevator descending image by utilizing a ReID algorithm, and determining the called floor of the elevator descending object in a second preset time period;
and determining the target called floor according to the called floor of the elevator descending object in a second preset time period.
And the called floor of the elevator descending object in a second preset time period is the target called floor.
The aforementioned prompt message may be a voice message played through a fourth device, wherein the fourth device may be a landing corridor provided in a landing subject, or a voice playing device at an elevator entrance, thereby avoiding a problem that a person taking a elevator is landing at a wrong floor. The content of the prompt message may include floor information of a target called floor, and may also include an error prompt message, which may include: "you are not consistent with your floor of choosing, please pay attention to" the floor of your present elevator.
Further, the elevator control device may be a control device disposed in an elevator machine room, and the S102 may specifically include: and sending the image information to the server-side equipment, so that the server-side equipment analyzes the image information, and determines and feeds back the reference floor information. Further, the determination of the first target floor information may also be implemented based on a server device, which is not limited in this application.
Correspondingly, the information base can also be stored in the server side equipment, the data processing process corresponding to the elevator control equipment in the application can be partially or completely realized based on the server side equipment, and the control process of the elevator can be independently realized by the elevator control equipment.
The method comprises the steps that when the number of first target objects in the elevator is detected to be smaller than the number of floors of a selected floor, image information corresponding to the first target objects is obtained; analyzing the image information to determine reference floor information; adjusting the selected floor by using the reference floor information to obtain first target floor information; the scheme for controlling the elevator to run based on the first target floor information can automatically cancel the wrong floor selected by the user based on the analysis of the image, thereby improving the flexibility of the mode for canceling the wrong floor and improving the service efficiency for providing elevator taking service for the user.
An exemplary embodiment of the present application also provides a data processing system, including:
the image shooting device is used for acquiring image information corresponding to the first target object;
the elevator control equipment is used for acquiring image information corresponding to a first target object when detecting that the number of the first target object in the elevator is smaller than the number of floors of a selected floor; analyzing the image information to determine reference floor information; adjusting the selected floor by using the reference floor information to obtain first target floor information; and controlling the elevator to run based on the first target floor information.
The present embodiment corresponds to the foregoing method embodiment, and specific implementation contents and implementation principles of the image capturing device and the elevator control device can be referred to the foregoing method embodiment, and are not described herein again.
Fig. 2 is a schematic structural diagram of a data processing apparatus according to an exemplary embodiment of the present application;
wherein, the device includes: an acquisition module 21, a determination module 22, an adjustment module 23, and a control module 24; wherein:
the obtaining module 21 is configured to obtain image information corresponding to a first target object when it is detected that the number of the first target object in the elevator is smaller than the number of floors of a selected floor;
a determining module 22, configured to analyze the image information and determine reference floor information;
the adjusting module 23 is configured to adjust the selected floor by using the reference floor information to obtain first target floor information;
and a control module 24 for controlling the operation of the elevator based on the first target floor information.
Optionally, when the device is configured to analyze the image information and determine the reference floor information, the device is specifically configured to:
analyzing the image information to determine a first individual information set corresponding to the first target object;
and determining the reference floor information by utilizing a preset information base and the first individual information set.
Optionally, when the device is configured to adjust the selected floor by using the reference floor information to obtain first target floor information, the device is specifically configured to:
determining floors to be analyzed, which are different from all floors in reference floors corresponding to the reference floor information, in the selected floors;
and determining the first target floor information according to the floor to be analyzed.
Optionally, the aforementioned apparatus is further configured to:
acquiring an image to be analyzed corresponding to a second target object acquired by first equipment outside an elevator;
acquiring a historical image set acquired by second equipment in a historical time period, wherein the historical image set corresponds to a target object set, the target object set is a set formed by one or more third target objects, and image information of the third target objects is contained in one or more historical images in the historical image set;
determining whether the second target object is contained in the target object set or not based on a historical image set corresponding to the target object set and the image to be analyzed;
and if the second target object is contained in the target object set, deleting the image to be analyzed corresponding to the second target object.
Optionally, when the apparatus is configured to determine whether the second target object is included in the target object set based on the historical image set in which the image to be analyzed corresponds to the target object set, the apparatus is specifically configured to:
determining characteristic information to be analyzed of the image to be analyzed;
acquiring a characteristic information set corresponding to the historical image set;
if the characteristic information set contains target characteristic information, the cosine distance between the characteristic information set and the target characteristic information to be analyzed is smaller than a first preset distance, the second target object is determined to be contained in the target object set, and if the characteristic information set does not contain the target characteristic information, the cosine distance between the characteristic information set and the target characteristic information to be analyzed is smaller than the first preset distance, the second target object is determined not to be contained in the target object set.
Optionally, the aforementioned apparatus may also be used to:
and if the second target object is not contained in the target object set, controlling an elevator to run to the current floor where the second target object is located so as to enable the second target object to take the elevator.
Optionally, the aforementioned apparatus may also be used to:
obtaining an elevator descending image corresponding to an elevator descending object sent by third equipment;
determining a target called floor corresponding to the elevator descending object based on the elevator descending image;
and if the landing floor of the landing object is different from the target called floor, displaying corresponding prompt information.
It is to be understood that apparatus embodiments and method embodiments may correspond to one another and that similar descriptions may refer to method embodiments. To avoid repetition, further description is omitted here. Specifically, the apparatus may perform the method embodiment, and the foregoing and other operations and/or functions of each module in the apparatus are respectively corresponding flows in each method in the method embodiment, and for brevity, are not described again here.
The apparatus of the embodiments of the present application is described above in connection with the drawings from the perspective of functional modules. It should be understood that the functional modules may be implemented by hardware, by instructions in software, or by a combination of hardware and software modules. Specifically, the steps of the method embodiments in the present application may be implemented by integrated logic circuits of hardware in a processor and/or instructions in the form of software, and the steps of the method disclosed in conjunction with the embodiments in the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. Alternatively, the software modules may be located in random access memory, flash memory, read only memory, programmable read only memory, electrically erasable programmable memory, registers, and the like, as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps in the above method embodiments in combination with hardware thereof.
Fig. 3 is a schematic block diagram of an electronic device provided in an embodiment of the present application, where the electronic device may include:
a memory 301 and a processor 302, the memory 301 being adapted to store a computer program and to transfer the program code to the processor 302. In other words, the processor 302 may call and run a computer program from the memory 301 to implement the method in the embodiment of the present application.
For example, the processor 302 may be configured to perform the above-described method embodiments according to instructions in the computer program.
In some embodiments of the present application, the processor 302 may include, but is not limited to:
general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, and the like.
In some embodiments of the present application, the memory 301 includes, but is not limited to:
volatile memory and/or non-volatile memory. The non-volatile Memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), or a flash Memory. Volatile Memory can be Random Access Memory (RAM), which acts as external cache Memory. By way of example, but not limitation, many forms of RAM are available, such as Static random access memory (Static RAM, SRAM), Dynamic Random Access Memory (DRAM), Synchronous Dynamic random access memory (Synchronous DRAM, SDRAM), Double Data Rate Synchronous Dynamic random access memory (DDR SDRAM), Enhanced Synchronous SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), and Direct Rambus RAM (DR RAM).
In some embodiments of the present application, the computer program may be partitioned into one or more modules, which are stored in the memory 301 and executed by the processor 302 to perform the methods provided herein. The one or more modules may be a series of computer program instruction segments capable of performing certain functions, the instruction segments describing the execution of the computer program in the electronic device.
As shown in fig. 3, the electronic device may further include:
a transceiver 303, the transceiver 303 being connectable to the processor 302 or the memory 301.
The processor 302 may control the transceiver 303 to communicate with other devices, and specifically, may transmit information or data to the other devices or receive information or data transmitted by the other devices. The transceiver 303 may include a transmitter and a receiver. The transceiver 303 may further include one or more antennas.
It should be understood that the various components in the electronic device are connected by a bus system that includes a power bus, a control bus, and a status signal bus in addition to a data bus.
The present application also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a computer, enables the computer to perform the method of the above-described method embodiments. In other words, the present application also provides a computer program product containing instructions, which when executed by a computer, cause the computer to execute the method of the above method embodiments.
When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. The procedures or functions described in accordance with the embodiments of the present application occur, in whole or in part, when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more of the available media. The usable medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a Digital Video Disk (DVD)), or a semiconductor medium (e.g., a Solid State Disk (SSD)), among others.
Those of ordinary skill in the art will appreciate that the various illustrative modules and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the module is merely a logical division, and other divisions may be realized in practice, for example, a plurality of modules or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or modules, and may be in an electrical, mechanical or other form.
Modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. For example, functional modules in the embodiments of the present application may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (11)
1. A data processing method, comprising:
when detecting that the number of first target objects in an elevator is smaller than the number of floors of a selected floor, acquiring image information corresponding to the first target objects;
analyzing the image information to determine reference floor information;
adjusting the selected floor by using the reference floor information to obtain first target floor information;
and controlling the elevator to run based on the first target floor information.
2. The method of claim 1, wherein analyzing the image information to determine reference floor information comprises:
analyzing the image information to determine a first individual information set corresponding to the first target object;
and determining the reference floor information by utilizing a preset information base and the first individual information set.
3. The method of claim 1, wherein adjusting the selected floor using the reference floor information to obtain first target floor information comprises:
determining floors to be analyzed, which are different from all floors in reference floors corresponding to the reference floor information, in the selected floors;
and determining the first target floor information according to the floor to be analyzed.
4. The method of claim 1, further comprising:
acquiring an image to be analyzed corresponding to a second target object acquired by first equipment outside an elevator;
acquiring a historical image set acquired by second equipment in a historical time period, wherein the historical image set corresponds to a target object set, the target object set is a set formed by one or more third target objects, and image information of the third target objects is contained in one or more historical images in the historical image set;
determining whether the second target object is contained in the target object set based on the image to be analyzed and the historical image set;
and if the second target object is contained in the target object set, deleting the image to be analyzed.
5. The method of claim 4, wherein determining whether the second target object is included in the set of target objects based on the image to be analyzed and the set of historical images comprises:
determining characteristic information to be analyzed of the image to be analyzed;
acquiring a characteristic information set corresponding to the historical image set;
if the characteristic information set contains target characteristic information, the cosine distance between the characteristic information set and the target characteristic information to be analyzed is smaller than a first preset distance, the second target object is determined to be contained in the target object set, and if the characteristic information set does not contain the target characteristic information, the cosine distance between the characteristic information set and the target characteristic information to be analyzed is smaller than the first preset distance, the second target object is determined not to be contained in the target object set.
6. The method of claim 4, further comprising:
and if the second target object is not contained in the target object set, controlling an elevator to run to the current floor where the second target object is located so as to enable the second target object to take the elevator.
7. The method of claim 1, further comprising:
obtaining an elevator descending image corresponding to an elevator descending object sent by third equipment;
determining a target called floor corresponding to the elevator descending object based on the elevator descending image;
and if the landing floor of the landing object is different from the target called floor, displaying corresponding prompt information.
8. A data processing apparatus, comprising:
the elevator control device comprises an acquisition module, a selection module and a display module, wherein the acquisition module is used for acquiring image information corresponding to a first target object when detecting that the number of the first target object in the elevator is smaller than the number of floors of a selected floor;
the determining module is used for analyzing the image information and determining reference floor information;
the adjusting module is used for adjusting the selected floor by utilizing the reference floor information to obtain first target floor information;
and the control module is used for controlling the elevator to run based on the first target floor information.
9. A data processing system, comprising:
the image shooting device is used for acquiring image information corresponding to the first target object;
the elevator control equipment is used for acquiring image information corresponding to a first target object when detecting that the number of the first target object in the elevator is smaller than the number of floors of a selected floor; analyzing the image information to determine reference floor information; adjusting the selected floor by using the reference floor information to obtain first target floor information; and controlling the elevator to run based on the first target floor information.
10. An electronic device, comprising:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the method of any of claims 1-7 via execution of the executable instructions.
11. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method of any one of claims 1-7.
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Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006111365A (en) * | 2004-10-12 | 2006-04-27 | Mitsubishi Electric Corp | Call automatic registration device for elevator |
| JP2011032087A (en) * | 2009-08-06 | 2011-02-17 | Mitsubishi Electric Building Techno Service Co Ltd | Elevator control device |
| JP2018039607A (en) * | 2016-09-07 | 2018-03-15 | 株式会社日立ビルシステム | Elevator device |
| JP2019177988A (en) * | 2018-03-30 | 2019-10-17 | フジテック株式会社 | Elevator control device and program |
| CN110861983A (en) * | 2019-11-01 | 2020-03-06 | 腾讯科技（深圳）有限公司 | Elevator operation control method and device |
| CN110980454A (en) * | 2019-11-26 | 2020-04-10 | 恒大智慧科技有限公司 | Automatic control method and device for elevator in intelligent community and readable storage medium |
| CN111573446A (en) * | 2020-05-12 | 2020-08-25 | 深圳市问必回技术有限公司 | Intelligent elevator control method, device, equipment and storage medium |
| WO2020238661A1 (en) * | 2019-05-24 | 2020-12-03 | 深圳壹账通智能科技有限公司 | Elevator scheduling method, device, computer apparatus, and storage medium |
| CN112299165A (en) * | 2019-07-30 | 2021-02-02 | 崇友实业股份有限公司 | Elevator control system and control method thereof |
| CN112607535A (en) * | 2020-11-25 | 2021-04-06 | 北京声智科技有限公司 | Elevator operation control method and system |
| US20210122606A1 (en) * | 2019-10-25 | 2021-04-29 | Naver Labs Corporation | Method and system for controlling elevator for robot passengers |
| CN112850385A (en) * | 2021-03-31 | 2021-05-28 | 杭州海康威视数字技术股份有限公司 | Elevator key control method, system and device |
-
2021
- 2021-11-19 CN CN202111401145.9A patent/CN114261858A/en active Pending
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006111365A (en) * | 2004-10-12 | 2006-04-27 | Mitsubishi Electric Corp | Call automatic registration device for elevator |
| JP2011032087A (en) * | 2009-08-06 | 2011-02-17 | Mitsubishi Electric Building Techno Service Co Ltd | Elevator control device |
| JP2018039607A (en) * | 2016-09-07 | 2018-03-15 | 株式会社日立ビルシステム | Elevator device |
| JP2019177988A (en) * | 2018-03-30 | 2019-10-17 | フジテック株式会社 | Elevator control device and program |
| WO2020238661A1 (en) * | 2019-05-24 | 2020-12-03 | 深圳壹账通智能科技有限公司 | Elevator scheduling method, device, computer apparatus, and storage medium |
| CN112299165A (en) * | 2019-07-30 | 2021-02-02 | 崇友实业股份有限公司 | Elevator control system and control method thereof |
| US20210122606A1 (en) * | 2019-10-25 | 2021-04-29 | Naver Labs Corporation | Method and system for controlling elevator for robot passengers |
| CN110861983A (en) * | 2019-11-01 | 2020-03-06 | 腾讯科技（深圳）有限公司 | Elevator operation control method and device |
| CN110980454A (en) * | 2019-11-26 | 2020-04-10 | 恒大智慧科技有限公司 | Automatic control method and device for elevator in intelligent community and readable storage medium |
| CN111573446A (en) * | 2020-05-12 | 2020-08-25 | 深圳市问必回技术有限公司 | Intelligent elevator control method, device, equipment and storage medium |
| CN112607535A (en) * | 2020-11-25 | 2021-04-06 | 北京声智科技有限公司 | Elevator operation control method and system |
| CN112850385A (en) * | 2021-03-31 | 2021-05-28 | 杭州海康威视数字技术股份有限公司 | Elevator key control method, system and device |
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