CN117931409A - Method, device and equipment for determining task execution of super business scenario - Google Patents
Method, device and equipment for determining task execution of super business scenario Download PDFInfo
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Abstract
The invention discloses a method, a device and equipment for determining a task executed by a super business scene. The method is applied to the super-commercial fusion base station, and comprises the following steps: receiving a business super business analysis instruction, sending a terminal data instruction to a target data terminal, and obtaining business super data information based on feedback of the target data terminal; the business super data information is distributed to other business super fusion base stations, and based on feedback of the other business super fusion base stations, business super article analysis results corresponding to the target business super articles are obtained; and feeding back the analysis result of the super commodity to the super commodity service management platform so as to enable the super commodity service management platform to judge the task aiming at the target super commodity and determine the commodity to be executed corresponding to the target super commodity, thereby reducing the occupation of bandwidth resources, simultaneously utilizing other fusion base station computing power to assist in determining the analysis result, relieving the computing power resource consumption and further improving the efficiency and the accuracy of determining the commodity to be executed.
Description
Technical Field
The present invention relates to the field of super commodity management technologies, and in particular, to a method, an apparatus, and a device for determining a super commodity scene to execute a task.
Background
With the further development of digitization, automation and intellectualization of the traditional business super industry, various new demands in the field are continuously emerging, such as commodity backorder checking, hot spot commodity analysis, passenger flow hot spot path analysis and the like through images or videos. In order to meet the application requirements, on one hand, video image acquisition equipment such as an automatic inspection robot and a camera needs to be installed, and on the other hand, computing power resource equipment meeting the application requirements also needs to be deployed in a matched mode.
In the existing solutions, in order to meet the demand of computing power, independent high-performance servers are deployed at the same time in the super-market, the camera and the robot uniformly submit collected original pictures and videos to the server providing computing power resources through a gateway device by a wireless network, and the server completes all processing and analysis work.
Because the data volume of the original pictures and the video is relatively large, the process of transmitting the data to the server through the gateway occupies the bandwidth resources of the user network. In a business super scene with a large scale, the number of cameras and mobile robots is large, so that the business data volume is huge, and if the data are simultaneously present in a network, the business super network is impacted, and the production business of a user is further affected.
Disclosure of Invention
The invention provides a method, a device and equipment for determining a business super scene execution task, which are used for reducing the occupation of bandwidth resources, and simultaneously utilizing other fusion base stations to assist in determining analysis results, so that the consumption of the computing resources is relieved, and the efficiency and the accuracy of determining the business super object task to be executed are further improved.
According to one aspect of the invention, a method for determining a super business scenario execution task is provided, and the method is applied to a super business fusion base station. The method comprises the following steps:
Receiving a business super business analysis instruction, sending a terminal data instruction to a target data terminal, and obtaining business super data information based on feedback of the target data terminal, wherein the business super data information at least comprises article attribute information corresponding to a target business super article;
Distributing the business super data information to other business super fusion base stations, and obtaining business super article analysis results corresponding to the target business super articles based on feedback of the other business super fusion base stations;
And feeding back the analysis result of the super commodity to a super business management platform so that the super business management platform can judge the task aiming at the target super commodity and determine the commodity to be executed corresponding to the target super commodity.
According to another aspect of the invention, a device for determining a super business scenario execution task is provided, and the device is applied to a super business fusion base station. The device comprises:
The business super data information acquisition module is used for receiving a business super business analysis instruction, sending a terminal data instruction to a target data terminal, and acquiring business super data information based on feedback of the target data terminal, wherein the business super data information at least comprises article attribute information corresponding to a target business super article;
The business super article analysis result determining module is used for distributing the business super data information to other business super fusion base stations and obtaining a business super article analysis result corresponding to the target business super article based on feedback of the other business super fusion base stations;
and the article to-be-executed task determining module is used for feeding back the analysis result of the super-commercial article to a super-commercial service management platform so that the super-commercial service management platform can judge the task aiming at the target super-commercial article and determine the article to-be-executed task corresponding to the target super-commercial article.
According to another aspect of the present invention, there is provided an electronic apparatus including:
At least one processor; and
A memory communicatively coupled to the at least one processor; wherein,
The memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method for determining a super-scene execution task according to any one of the embodiments of the present invention.
According to the technical scheme, the terminal data instruction is sent to the target data terminal through receiving the business super business analysis instruction, and business super data information is obtained based on feedback of the target data terminal, wherein the business super data information at least comprises article attribute information corresponding to a target business super article. And distributing the business super data information to other business super fusion base stations, acquiring business super article analysis results corresponding to the target business super articles based on feedback of the other business super fusion base stations, and analyzing the target business super articles by using the other business super fusion base stations so as to relieve the problem of computational power resource shortage of the current target business super articles, thereby improving analysis efficiency and shortening analysis time. And feeding back the analysis result of the super business object to a super business management platform so that the super business management platform can judge the task aiming at the target super business object, determine the object to be executed task corresponding to the target super business object, and utilize the super business management platform to assist in determining the object to be executed task only by the analysis result of the super business object, so that a large amount of business data can be prevented from impacting a super business network, and the object to be executed task can be determined by only transmitting the analysis result of the super business object, thereby improving the efficiency of determining the object to be executed task of the super business object and relieving the pressure of the super business bandwidth network.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for determining a super scene execution task according to a first embodiment of the present invention;
FIG. 2 is a flow chart of a method for determining a super scene execution task according to a second embodiment of the present invention;
FIG. 3 is a flow chart of a method for determining a super scene execution task according to a third embodiment of the present invention;
FIG. 4 is a block diagram of an apparatus for determining a super scene execution task according to a fourth embodiment of the present invention;
Fig. 5 is a schematic structural diagram of an electronic device implementing a method for determining a super scene execution task according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented 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.
Example 1
Fig. 1 is a flowchart of a method for determining a super-business scenario to perform tasks according to an embodiment of the present invention, where the method may be performed by a device for determining a super-business scenario to perform tasks, and the device for determining a super-business scenario to perform tasks may be implemented in hardware and/or software, and the device for determining a super-business scenario to perform tasks may be configured in an electronic device. As shown in fig. 1, the method includes:
S101, receiving a business super business analysis instruction, sending a terminal data instruction to a target data terminal, and obtaining business super data information based on feedback of the target data terminal.
In the invention, the business super comprises a business super business management platform, a plurality of fusion base stations and target data terminals. The business super business management platform comprises a narrow-band business server, a wide-band business server and a power calculation business server. The business super-integration base station comprises a broadband communication module, a narrowband communication module and a calculation module, wherein a plurality of business super-integration base stations are respectively arranged in the business super-divided business super-areas and used for providing communication service and coordinating calculation resources with neighbor business super-integration base stations. The narrowband communication module is used for small data volume communication, such as transmission of ESL price tag information, equipment parameter information and equipment control instructions. The broadband communication module is used for large data volume communication, such as transmission of images and video data collected by the camera and the robot. The power calculation module is used for analyzing and processing images and video data. The target data terminal is a super-business data acquisition device, such as a monitoring device, a movable robot and various sensing devices.
The business analysis instruction may refer to a business analysis instruction generated and sent by the business management platform. The terminal data instruction may refer to instruction information for instructing the target data terminal to perform a corresponding task. The business super data information at least comprises article attribute information corresponding to the target business super article, and the article attribute information can at least comprise color information, position information, quantity information, temperature information, distance information, placement information and the like. The target super commodity can refer to commodities, shopping carts, tools, garbage and the like in the super commodity, and the target super commodity can be determined according to the super business analysis instruction.
Specifically, a business super business analysis instruction sent by a business super business management platform is received. And the fusion base station sends the terminal data instruction to the target data terminal according to the business super business analysis instruction. And receiving the data information fed back by the target data terminal, and obtaining the business super data information.
Illustratively, the receiver superservice analysis instruction sends the terminal data instruction to the target data terminal, including:
Receiving a business overtime analysis instruction; performing instruction analysis processing on the business analysis instruction, determining a business super region to be analyzed in the business analysis instruction, and determining a data terminal device in the business super region to be analyzed as a target data terminal; based on a narrow-band communication module, the data acquisition instruction and the data configuration information are sent to a target data terminal, so that the target data terminal establishes a communication data channel with the super-commercial fusion base station according to the data configuration information; and based on the broadband communication module, sending the manufacturer super data information through the communication data channel.
The terminal data instruction comprises a data acquisition instruction and data configuration information.
Specifically, the business analysis instruction is subjected to instruction analysis processing, a business super region to be analyzed in the business analysis instruction is determined, and the data terminal equipment in the business super region to be analyzed is determined as a target data terminal. And transmitting the data acquisition instruction and the data configuration information to a target data terminal through a narrow-band communication module. And the target data terminal establishes a communication data channel with the super-fusion base station according to the data configuration information. And transmitting the manufacturer super data information by using the communication data channel through the broadband communication module.
The determining the data terminal device in the to-be-analyzed quotient super region as the target data terminal, comprises: determining the monitoring terminal in the business oversubscription area to be analyzed as a target monitoring terminal; determining a target robot terminal in the to-be-analyzed quotient super region according to heartbeat signal information sent by all the robot terminals; and determining the target monitoring terminal and the target robot terminal as target data terminals.
It should be noted that the target data terminals in the business super may include a fixed monitoring terminal and a movable robot terminal.
Specifically, determining the monitoring terminal in the to-be-analyzed quotient super region as a target monitoring terminal; and according to the heartbeat signal information sent by all the robot terminals, the current business super fusion base station determines the target robot terminal in the business super region to be analyzed according to the intensity of the heartbeat signal. And determining the target monitoring terminal and the target robot terminal as target data terminals.
Illustratively, the transmitting the data acquisition instruction to the target data terminal based on the narrowband communication module includes: according to the broadband communication module, broadband channel information corresponding to the broadband communication channel is determined; determining an instruction sending strategy corresponding to the data acquisition instruction based on the broadband channel information; and transmitting the data acquisition instruction to a target data terminal based on the narrowband communication module according to the instruction transmission strategy.
The super-convergence base station can further comprise a broadband communication module and a narrowband communication module. The wideband channel information at least comprises the number of transceiving channels and the current available bandwidth.
Specifically, before the data acquisition instructions are sent to the target data terminal, when a plurality of data acquisition instructions need to be sent through the narrowband communication module, the quotient super-convergence base station can formulate a narrowband instruction sending strategy according to parameters such as the number of receiving and sending channels of the channel, the current available bandwidth and the like determined by the broadband communication module, and send the instructions in batches according to the narrowband instruction sending strategy so as to avoid the problem of broadband channel congestion in the data reporting stage.
For example, when the broadband communication module in the super-commercial convergence base station works in the dual-reception and dual-transmission mode of 802.11n and the target data terminal is in the single-reception and single-transmission mode, the super-commercial convergence base station can only simultaneously inform two target data terminals to report data at a time so as to ensure that the working state of the broadband data transmission channel is optimal, and the target data terminal can rapidly finish uploading data. For another example, in the super business scenario, 9:00 am is a user shopping peak period, in order to ensure that the cashing settlement service is reliably performed, the super business fusion base station needs to actively limit the bandwidth of the network occupied by the uploading of the target data terminal, and at this time, the super business fusion base station can only notify one target data terminal to access the network at a time.
S102, distributing the business super data information to other business super fusion base stations, and obtaining business super article analysis results corresponding to the target business super articles based on feedback of the other business super fusion base stations.
The other super-commercial fusion base stations can refer to all other neighbor fusion base stations of the current super-commercial fusion base station in super-commercial fusion, namely all other fusion base stations except the current super-commercial fusion base station in super-commercial fusion.
Specifically, after receiving the business super-data information sent by the target data terminal, the business super-fusion base station can distribute the business super-data information to the neighboring business super-fusion base stations, namely other business super-fusion base stations, and request the other business super-fusion base stations to assist in analyzing the target business super-articles in the business super-data information, so that a business super-article analysis result can be obtained. For example, the analysis result of the commodity number in the commodity super data information, the analysis result of the commodity area customer number, and the analysis result of whether the channel is junk or not. The operation pressure of the current commercial super-fusion base station can be greatly relieved through the assisted analysis of other commercial super-fusion base stations, and the efficiency and accuracy of determining the commercial super-article analysis result can be further improved.
And S103, feeding back the analysis result of the super commodity to a super business management platform so that the super business management platform can judge the task aiming at the target super commodity and determine the commodity to be executed corresponding to the target super commodity.
Specifically, the super business fusion base station can send the super business analysis result to the super business management platform. And the power calculation service server in the business super service management platform performs task discrimination according to the business super article analysis result and a preset task distribution mechanism so as to determine the article to be executed task corresponding to the target business super article.
According to the technical scheme, the terminal data instruction is sent to the target data terminal through receiving the business super business analysis instruction, and business super data information is obtained based on feedback of the target data terminal, wherein the business super data information at least comprises article attribute information corresponding to a target business super article. And distributing the business super data information to other business super fusion base stations, acquiring business super article analysis results corresponding to the target business super articles based on feedback of the other business super fusion base stations, and analyzing the target business super articles by using the other business super fusion base stations so as to relieve the problem of computational power resource shortage of the current target business super articles, thereby improving analysis efficiency and shortening analysis time. And feeding back the analysis result of the super business object to a super business management platform so that the super business management platform can judge the task aiming at the target super business object, determine the object to be executed task corresponding to the target super business object, and utilize the super business management platform to assist in determining the object to be executed task only by the analysis result of the super business object, so that a large amount of business data can be prevented from impacting a super business network, and the object to be executed task can be determined by only transmitting the analysis result of the super business object, thereby improving the efficiency of determining the object to be executed task of the super business object and relieving the pressure of the super business bandwidth network.
Example two
Fig. 2 is a flowchart of a method for determining a super business scenario execution task according to a second embodiment of the present invention, where a process of obtaining a super business item analysis result corresponding to a target super business item is specifically described based on the foregoing embodiments. As shown in fig. 2, the method includes:
s201, receiving a business super business analysis instruction, sending a terminal data instruction to a target data terminal, and obtaining business super data information based on feedback of the target data terminal.
S202, based on the number of other super-fusion base stations in the super-quotient, performing data slicing processing on the super-quotient data information to obtain sliced data information.
The number of other super-converged base stations can be obtained according to a super-business management platform, and can also be obtained in an uplink network of the super-converged base stations through broadcasting detection messages.
Specifically, the super-quotient fusion base station performs data slicing processing on the super-quotient data information according to the number of other super-quotient fusion base stations to obtain sliced data information with the same number as the number of the other super-quotient fusion base stations.
The exemplary performing data slicing processing on the quotient super data information based on the predetermined number of other quotient super fusion base stations in the quotient super to obtain sliced data information includes: determining the number of data fragments based on the number of other quotient super-fusion base stations; and based on the data slicing quantity, carrying out data slicing processing on the quotient super data information to obtain slicing data information.
And the data fragmentation number is the sum of the number of the other quotient super-fusion base stations and the number of the current quotient super-fusion base stations.
In the technical scheme of the invention, the current commercial super-fusion base station can also perform data analysis together with other commercial super-fusion base stations, specifically, the number of other commercial super-fusion base stations is increased by one to obtain the number of data fragments to be fragmented, and then the commercial super-data information is subjected to data fragmentation processing to obtain the fragmented data information, so that the current commercial super-fusion base station can also obtain the number of data fragments.
And S203, distributing the fragmented data information to each other business super-fusion base station so that the other business super-fusion base stations perform data analysis processing, and obtaining a business super-article analysis result corresponding to the target business super-article based on feedback of each other business super-fusion base station.
Specifically, the sliced data information is distributed to each other business super-fusion base station, the other business super-fusion base stations conduct data analysis processing on the sliced data information, analysis results are fed back to the current business super-fusion base station, and therefore sliced data analysis results corresponding to each piece of data information can be obtained, fusion processing is conducted on the sliced data analysis results, and therefore business super-article analysis results are obtained.
Or distributing the sliced data information to each other business super-fusion base station and the current business super-fusion base station, carrying out data analysis processing on the sliced data information by the other business super-fusion base stations and the current business super-fusion base station, feeding back the result to the current business super-fusion base station, obtaining a sliced data analysis result corresponding to each sliced data information, and carrying out fusion processing on the sliced data analysis result, thereby obtaining a business super-article analysis result.
The data analysis processing is performed by the other super-business fusion base stations, and based on the feedback of each other super-business fusion base station, a super-business article analysis result corresponding to the target super-business article is obtained, including: the other quotient super fusion base station compares the object attribute information in the fragmentation data information with the historical object attribute information in the historical fragmentation data information at the last moment, analyzes and processes the attribute, and determines object attribute change information of the target quotient super object; and determining the article attribute change information as a commercial superarticle analysis result.
Wherein the item attribute information and the historical item attribute information include at least item quantity information and item location information.
Specifically, the process of data analysis processing by the super-quotient fusion base station can be as follows: and comparing and analyzing the attribute information of the object in the piece data information with the attribute information of the historical object at the last moment, determining the object attribute change information of the target super-commodity, and further determining the object attribute change information of the target super-commodity as a super-commodity analysis result.
Illustratively, said distributing said fragmented data information to each other quotient super-fusion base station comprises: determining the fragment number information corresponding to the fragment data information according to each fragment data information; and based on the fragment number information, sending the fragment data information to other super-fusion base stations with the same number.
Specifically, the current super-convergence base station can adopt a polling mode and distribute the current super-convergence base station to other super-convergence base stations one by one according to the fragment number information.
By adopting a polling distribution mode, the current business super-convergence base station does not need to collect the calculation power conditions of other business super-convergence base stations in the network in advance before distributing business data, and a large amount of data interaction processes and calculation processes which are needed to be consumed for the business super-convergence base station can be avoided. Because the interaction procedure for maintaining this power status information is extremely resource consuming for the base station CPU when the number of converged base stations in the network is large.
On the other hand, because the number of the fusion base stations in the network is relatively fixed, the number of the data fragments is relatively fixed, and when the current commercial super-fusion base station distributes the split data, the fragment data with the same serial number is preferentially distributed to the same fusion base station. Because most of the data fragments with the same number have the same content, the algorithm can perform acceleration processing based on the prior information, and the distribution mode can play an acceleration role on the image algorithm, so that the efficiency of determining the analysis result of the super-commodity is improved.
Illustratively, after the sending the fragment data information to other super-converged base stations with the same number based on the fragment number information, the method further includes: determining the fragment receiving feedback information of the other quotient super-fusion base stations, wherein the fragment receiving feedback information comprises refusing to receive fragment information and successfully receiving fragment information; and under the condition that the feedback information received by the fragments is refused to receive the fragment information, sending the fragment data information to other super-fusion base stations with the next numbers so as to enable all the fragment data information to be successfully distributed.
Specifically, according to the feedback information received by the fragments, the receiving condition of the fragment data information is determined, when the situation that the feedback information received by the fragments is refused to receive the fragment information occurs, the fault of the super-fusion base station is indicated, and the fragment data information is transferred to other super-fusion base stations with the next number until all the fragment data information is successfully distributed.
S204, feeding back the analysis result of the super commodity to a super commodity service management platform so that the super commodity service management platform can judge the task aiming at the target super commodity and determine the commodity to be executed corresponding to the target super commodity.
According to the technical scheme, the business super data information is subjected to data slicing processing based on the number of other business super fusion base stations in the business super, so that slicing data information is obtained, the slicing data information is distributed to each other business super fusion base station, the other business super fusion base stations are subjected to data analysis processing, and based on feedback of each other business super fusion base station, a business super article analysis result corresponding to a target business super article is obtained. Therefore, hardware, software and scheduling management of the computing power resources are comprehensively integrated into all integrated base stations of the business supernetwork, and reliable operation of the business supernetwork system can be ensured while the business supernetwork computing power requirement is met.
Example III
Fig. 3 is an overall schematic diagram of a method for determining a task performed by a super business scenario according to a third embodiment of the present invention. As shown in fig. 3, the method is a preferred implementation method of the technical scheme of the present invention, and the complete implementation flow of the method specifically includes:
S301, when a business super analysis service is in a closed state, a broadband communication module and a power calculation module in a business super fusion base station are in a dormant state, and the business super fusion base station acquires the number of other peripheral business super fusion base stations through a business super service management platform or an uplink network thereof through a broadcast detection message; the broadband communication module of the target data terminal (such as the camera equipment and the robot equipment) is in a dormant state, the target data terminal only shoots images or videos at preset time at the moment, and the acquired business super data information is stored in a local cache.
S302, when the business super business management platform starts business super analysis business according to business analysis strategy, firstly, a terminal data instruction is issued to a selected single or a plurality of cameras or robots through a narrow-band communication module of a business super convergence base station by a narrow-band business server, and meanwhile, a broadband business server starts and configures a broadband module of the business super convergence base station (WLAN radio frequency channel, MAC white list and the like).
The embedded narrowband module of the robot in the roaming state can send heartbeat signals at regular time, and the business super-fusion base station determines the business super-fusion base station to which the robot belongs according to the intensity of the received heartbeat signals and reports the business super-fusion base station to the business super-business management platform. The subsequent business super business management platform can issue control instructions to the robot through the corresponding business super fusion base station.
The service analysis strategy can be modified according to the working state of the actual service of the user and the user requirement, so as to avoid the conflict between the computing power service and the user narrowband service (such as ELS price tag information issue), the broadband service (such as video file distribution work with other LCD price tags), and the like.
The business super-integration base station provides a state query interface of the internal module for the business super-business management platform, so that the business super-business management platform can obtain the real-time working state of each module in the business super-integration base station, and each application module of the business super-business management platform can accurately select the business starting time.
S303, after receiving a business super business analysis instruction from a business super business management platform, the business super integration base station sends terminal data instructions such as a camera and a robot to a specified target data terminal through a narrow-band communication module; on the other hand, the configuration of the working parameters of the broadband communication module is carried out according to the requirements of the business super business management platform, and the module is started to prepare for receiving the data sent by the target data terminal. When a plurality of terminal data instructions need to be sent through the narrow-band communication module, the quotient super-fusion base station can send the terminal data instructions in batches according to parameters such as the number of receiving and sending channels of the data channels of the broadband module, the current available bandwidth and the like, so that the problem of congestion of the broadband channels is avoided.
S304, after receiving the terminal data command through the integrated narrow-band module, the target data terminal such as a camera and a robot opens the embedded broadband communication module, and after establishing the broadband communication channel between the target data terminal and the super-commercial fusion base station, the terminal uploads the super-commercial data information such as image data and depth information acquired in advance or in real time to the super-commercial fusion base station through the broadband channel.
S305, after receiving the business super data information submitted by the terminal, the business super fusion base station performs slicing processing on the data according to the number of the peripheral business super fusion base stations detected in advance. If a certain super-fusion base station detects that N super-fusion base stations with calculation capability exist around the super-fusion base station, the data is cut into n+1 parts. The super-converged base station is now in the role of the distributor.
S306, the super-fusion base station of the distributor distributes the fragmented data information to the super-fusion base stations of the surrounding providers one by one in a polling mode. If a peripheral super-fusion base station refuses to receive or does not respond, the method tries to distribute the sliced data information to the next super-fusion base station until all the sliced data information can be successfully distributed.
S307, each quotient super fusion base station uses the respective computing power resource to process the received fragment data information, such as converting the original plane picture information into a three-dimensional model by combining the depth data. After processing the received fragmented data, the super-fusion base station of each manufacturer returns the processing result to the distributor before.
S308, the super-business fusion base station taking the role of a distributor gathers the processing results of the data information of each fragment and then obtains the analysis results of super-business objects. For example, three-dimensional information of all key objects in an original picture of the camera, namely whether space exists for placing commodities on a shelf or not, is obtained. And then, the business super convergence base station submits the final business super article analysis result to a power calculation business server of the business super business management platform.
S309, the power calculation service server judges the service according to the analysis result of the super commodity reported by the super fusion base station. If the goods on the goods shelf are placed in a large gap, the goods sales volume can be judged to be large, and the goods need to be timely replenished.
S310, finishing the processing flow of the task to be executed of the super commodity once.
Example IV
Fig. 4 is a schematic diagram of an apparatus for determining a task performed by a super business scenario according to a fourth embodiment of the present invention. As shown in fig. 4, the apparatus includes:
The business super data information acquisition module 401 is configured to receive a business super business analysis instruction, send a terminal data instruction to a target data terminal, and obtain business super data information based on feedback of the target data terminal, where the business super data information at least includes article attribute information corresponding to a target business super article;
The business super-article analysis result determining module 402 is configured to distribute the business super-data information to other business super-fusion base stations, and obtain a business super-article analysis result corresponding to the target business super-article based on feedback of the other business super-fusion base stations;
And the article task to be executed determining module 403 is configured to feed back the analysis result of the super-commercial article to a super-commercial service management platform, so that the super-commercial service management platform performs task discrimination for the target super-commercial article, and determines an article task to be executed corresponding to the target super-commercial article.
According to the technical scheme, the terminal data instruction is sent to the target data terminal through receiving the business super business analysis instruction, and business super data information is obtained based on feedback of the target data terminal, wherein the business super data information at least comprises article attribute information corresponding to a target business super article. And distributing the business super data information to other business super fusion base stations, acquiring business super article analysis results corresponding to the target business super articles based on feedback of the other business super fusion base stations, and analyzing the target business super articles by using the other business super fusion base stations so as to relieve the problem of computational power resource shortage of the current target business super articles, thereby improving analysis efficiency and shortening analysis time. And feeding back the analysis result of the super business object to a super business management platform so that the super business management platform can judge the task aiming at the target super business object, determine the object to be executed task corresponding to the target super business object, and utilize the super business management platform to assist in determining the object to be executed task only by the analysis result of the super business object, so that a large amount of business data can be prevented from impacting a super business network, and the object to be executed task can be determined by only transmitting the analysis result of the super business object, thereby improving the efficiency of determining the object to be executed task of the super business object and relieving the pressure of the super business bandwidth network.
Optionally, the quotient super item analysis result determination module 402 includes:
The system comprises a fragmentation data information obtaining unit, a data processing unit and a data processing unit, wherein the fragmentation data information obtaining unit is used for carrying out data fragmentation processing on the commodity super data information based on the number of other commodity super fusion base stations in the commodity super, which is determined in advance, so as to obtain fragmentation data information;
And the business super-article analysis result determining unit is used for distributing the fragment data information to each other business super-fusion base station so that the other business super-fusion base stations perform data analysis processing, and acquiring a business super-article analysis result corresponding to the target business super-article based on feedback of each other business super-fusion base station.
Optionally, the analysis result determining unit of the commercial superitem is specifically configured to:
The other business super fusion base station compares and analyzes the attribute of the object attribute information in the fragmentation data information with the attribute of the historical object attribute information in the historical fragmentation data information at the last moment to determine the object attribute change information of the target business super object, wherein the object attribute information and the historical object attribute information at least comprise object quantity information and object position information;
And determining the article attribute change information as a commercial superarticle analysis result.
Optionally, the quotient super article analysis result determining unit includes:
a fragment number information determining subunit, configured to determine, for each piece of fragment data information, fragment number information corresponding to the piece of fragment data information;
And the fragment number information sending subunit is used for sending the fragment data information to other quotient super-fusion base stations with the same number based on the fragment number information.
Optionally, the fragment number information sending subunit is further configured to:
Determining the fragment receiving feedback information of the other quotient super-fusion base stations, wherein the fragment receiving feedback information comprises refusing to receive fragment information and successfully receiving fragment information;
And under the condition that the feedback information received by the fragments is refused to receive the fragment information, sending the fragment data information to other super-fusion base stations with the next numbers so as to enable all the fragment data information to be successfully distributed.
Optionally, the super-convergence base station includes a wideband communication module and a narrowband communication module; the terminal data instruction comprises a data acquisition instruction and data configuration information; the quotient super data information acquisition module 401 comprises:
the business super business analysis instruction receiving unit is used for receiving the business super business analysis instruction;
The business analysis instruction analysis unit is used for carrying out instruction analysis processing on the business analysis instruction, determining a business analysis area to be analyzed in the business analysis instruction, and determining data terminal equipment in the business analysis area to be analyzed as a target data terminal;
the data acquisition instruction sending unit is used for sending the data acquisition instruction to the target data terminal based on the narrowband communication module;
and the data configuration information sending unit is used for sending the data configuration information to the target data terminal based on the broadband communication module so as to enable the target data terminal to establish a communication data channel with the super-commercial convergence base station and sending the super-commercial data information based on the communication data channel.
Optionally, the quotient super business analysis instruction analysis unit includes:
the target monitoring terminal determining subunit is used for determining the monitoring terminal in the to-be-analyzed quotient super region as a target monitoring terminal;
the target robot terminal determining subunit is used for determining the target robot terminal in the to-be-analyzed quotient super region according to the heartbeat signal information sent by all the robot terminals;
And the target data terminal determining subunit is used for determining the target monitoring terminal and the target robot terminal as target data terminals.
Optionally, the data acquisition instruction sending unit is specifically configured to:
Determining broadband channel information corresponding to the broadband communication channels according to the broadband communication module, wherein the broadband channel information at least comprises the number of receiving and transmitting channels and the current available bandwidth;
Determining an instruction sending strategy corresponding to the data acquisition instruction based on the broadband channel information;
And transmitting the data acquisition instruction to a target data terminal based on the narrowband communication module according to the instruction transmission strategy.
The device for determining the task of the business super scene execution provided by the embodiment of the invention can execute the method for determining the task of the business super scene execution provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example five
Fig. 5 shows a schematic diagram of the structure of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 5, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as methods for determining a super scene execution task.
In some embodiments, the method for determining the super scene execution task may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, the above-described method may be performed for determining one or more steps of a super scene execution task. Alternatively, in other embodiments, the processor 11 may be configured by any other suitable means (e.g., by means of firmware) to perform the method for determining the super scene execution task.
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. A method for determining a super-business scenario execution task, which is applied to a super-business fusion base station, is characterized by comprising the following steps:
Receiving a business super business analysis instruction, sending a terminal data instruction to a target data terminal, and obtaining business super data information based on feedback of the target data terminal, wherein the business super data information at least comprises article attribute information corresponding to a target business super article;
Distributing the business super data information to other business super fusion base stations, and obtaining business super article analysis results corresponding to the target business super articles based on feedback of the other business super fusion base stations;
And feeding back the analysis result of the super commodity to a super business management platform so that the super business management platform can judge the task aiming at the target super commodity and determine the commodity to be executed corresponding to the target super commodity.
2. The method of claim 1, wherein the distributing the business to super data information to other business to super fusion base stations and obtaining the business to super item analysis result corresponding to the target business to super item based on feedback from the other business to super fusion base stations comprises:
Based on the number of other super-fusion base stations in the pre-determined super-business, performing data slicing processing on the super-business data information to obtain sliced data information;
And distributing the fragmented data information to each other business super-fusion base station so that the other business super-fusion base stations perform data analysis processing, and obtaining business super-article analysis results corresponding to the target business super-articles based on feedback of each other business super-fusion base station.
3. The method of claim 2, wherein the other super-commercial fusion base station performs data analysis processing, and obtains a super-commercial article analysis result corresponding to the target super-commercial article based on feedback of each other super-commercial fusion base station, including:
The other business super fusion base station compares and analyzes the attribute of the object attribute information in the fragmentation data information with the attribute of the historical object attribute information in the historical fragmentation data information at the last moment to determine the object attribute change information of the target business super object, wherein the object attribute information and the historical object attribute information at least comprise object quantity information and object position information;
And determining the article attribute change information as a commercial superarticle analysis result.
4. The method of claim 2, wherein said distributing the fragmentation data information to each other quotient super-fusion base station comprises:
Determining the fragment number information corresponding to the fragment data information according to each fragment data information;
and based on the fragment number information, sending the fragment data information to other super-fusion base stations with the same number.
5. The method of claim 4, further comprising, after the sending the fragment data information to other super-convergence base stations of the same number based on the fragment number information:
Determining the fragment receiving feedback information of the other quotient super-fusion base stations, wherein the fragment receiving feedback information comprises refusing to receive fragment information and successfully receiving fragment information;
And under the condition that the feedback information received by the fragments is refused to receive the fragment information, sending the fragment data information to other super-fusion base stations with the next numbers so as to enable all the fragment data information to be successfully distributed.
6. The method of claim 1, wherein the super-convergence base station comprises a wideband communication module and a narrowband communication module; the terminal data instruction comprises a data acquisition instruction and data configuration information; the receiving the business analysis command, sending the terminal data command to the target data terminal, comprising:
Receiving a business overtime analysis instruction;
Performing instruction analysis processing on the business analysis instruction, determining a business super region to be analyzed in the business analysis instruction, and determining a data terminal device in the business super region to be analyzed as a target data terminal;
Based on a narrow-band communication module, the data acquisition instruction and the data configuration information are sent to a target data terminal, so that the target data terminal establishes a communication data channel with the super-commercial fusion base station according to the data configuration information;
and based on the broadband communication module, sending the manufacturer super data information through the communication data channel.
7. The method of claim 6, wherein the target data terminals include a monitoring terminal and a robot terminal; the determining the data terminal equipment in the to-be-analyzed quotient super region as a target data terminal comprises the following steps:
determining the monitoring terminal in the business oversubscription area to be analyzed as a target monitoring terminal;
determining a target robot terminal in the to-be-analyzed quotient super region according to heartbeat signal information sent by all the robot terminals;
And determining the target monitoring terminal and the target robot terminal as target data terminals.
8. The method of claim 6, wherein the transmitting the data acquisition instruction to the target data terminal based on the narrowband communication module comprises:
Determining broadband channel information corresponding to the broadband communication channels according to the broadband communication module, wherein the broadband channel information at least comprises the number of receiving and transmitting channels and the current available bandwidth;
Determining an instruction sending strategy corresponding to the data acquisition instruction based on the broadband channel information;
And transmitting the data acquisition instruction to a target data terminal based on the narrowband communication module according to the instruction transmission strategy.
9. An apparatus for determining a super-business scenario execution task, applied to a super-business fusion base station, comprising:
The business super data information acquisition module is used for receiving a business super business analysis instruction, sending a terminal data instruction to a target data terminal, and acquiring business super data information based on feedback of the target data terminal, wherein the business super data information at least comprises article attribute information corresponding to a target business super article;
The business super article analysis result determining module is used for distributing the business super data information to other business super fusion base stations and obtaining a business super article analysis result corresponding to the target business super article based on feedback of the other business super fusion base stations;
and the article to-be-executed task determining module is used for feeding back the analysis result of the super-commercial article to a super-commercial service management platform so that the super-commercial service management platform can judge the task aiming at the target super-commercial article and determine the article to-be-executed task corresponding to the target super-commercial article.
10. An electronic device, the electronic device comprising:
At least one processor; and
A memory communicatively coupled to the at least one processor; wherein,
The memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method for determining a super scene execution task of any of claims 1-7.
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