Implementation method, device, system and equipment of unattended store and storage medium

Abstract

The application relates to an implementation method, device, system and equipment of an unattended store and a storage medium, the method comprises the following steps: acquiring the demand of a user, and acquiring the running state data of each intelligent device in the store through an intelligent device domain; based on the running state data and the user demand, a cooperative strategy is determined, the cooperative strategy comprises the action parameters of at least one target intelligent device for realizing the user demand; and the target intelligent devices are controlled to act according to the action parameters through the intelligent device domain. It can be seen that the unattended store is realized for the user by adopting the scheme.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of data processing, and in particular to an implementation method, device, system and equipment of an unattended store and a storage medium. BACKGROUND

[0002] At present, the existing business mode and service mode of physical stores are greatly impacted by factors such as environment and physical health, which inevitably leads to a decline in service quality and an uncertainty in revenue. Therefore, how to realize the unattended operation of stores and face users has become a technical problem to be solved by people in the field. SUMMARY

[0003] The present application provides an implementation method, device, system, equipment and storage medium of an unattended store, so as to realize the unattended operation of stores.

[0004] In a first aspect, an implementation method of an unattended store is provided, which is applied to an intelligent decision platform and includes:

[0005] Obtaining user demand of a user; and obtaining running state data of each intelligent device in a store through an intelligent device domain;

[0006] Based on the running state data and the user demand, a cooperative strategy is determined, which includes action parameters of each target intelligent device for achieving at least one target of the user demand;

[0007] Through the intelligent device domain, each target intelligent device is controlled to act according to the action parameters.

[0008] Optionally, before determining the cooperative strategy based on the running state data and the user demand, the method further includes:

[0009] When it is determined that the user demand is new product trial, image information of the user is obtained;

[0010] Facial features in the image information are identified through a network resource domain;

[0011] Identity information of the user is determined based on the facial features;

[0012] It is determined that the user is a member user based on the identity information.

[0013] Optionally, after controlling each target intelligent device to act according to the action parameters through the intelligent device domain, the method further includes:

[0014] Image information of the user is obtained;

[0015] Facial features in the image information are identified through a network resource domain;

[0016] determine identity information of the user based on the facial features;

[0017] recommend a target product matching the identity information to the user through the intelligent device domain.

[0018] Optionally, recommending the target product matching the identity information to the user comprises:

[0019] when it is confirmed that the identity information indicates that the user is a purchased user, obtaining historical consultation records and historical purchase records of the user;

[0020] determining the target product based on the historical consultation records and the historical purchase records.

[0021] Optionally, confirming that the identity information indicates that the user is a purchased user comprises:

[0022] when it is determined through the network resource domain that there is a purchase record corresponding to the identity information, confirming that the identity information indicates that the user is a purchased user.

[0023] In a second aspect, an implementation method of an unattended store is provided, which is applied to an intelligent device domain and comprises:

[0024] obtaining running state data of each intelligent device in the store;

[0025] sending the running state data to an intelligent decision platform;

[0026] obtaining a cooperative strategy, the cooperative strategy comprising action parameters of each target intelligent device for achieving a user demand of a user;

[0027] controlling each target intelligent device to act according to the action parameters.

[0028] Optionally, controlling each target intelligent device to act according to the action parameters comprises:

[0029] determining an action sequence of each target intelligent device based on the action parameters;

[0030] controlling each target intelligent device to act according to the action sequence.

[0031] In a third aspect, an implementation device of an unattended store is provided, which is applied to an intelligent decision platform and comprises:

[0032] a first obtaining module, configured to obtain a user demand of a user and obtain running state data of each intelligent device in a store through an intelligent device domain;

[0033] determining a coordination strategy based on the running state data and the user demand, the coordination strategy including respective action parameters of at least one target smart device for achieving a target of the user demand;

[0034] a first control module configured to control each of the target smart devices to act according to the action parameters through the smart device domain.

[0035] In a fourth aspect, an implementation device of an unattended store is provided, which is applied to a smart device domain and includes:

[0036] a second acquisition module configured to acquire running state data of each smart device in the store;

[0037] a sending module configured to send the running state data to a smart decision platform;

[0038] a third acquisition module configured to acquire a coordination strategy, the coordination strategy including respective action parameters of at least one target smart device for achieving a user demand of a user;

[0039] a second control module configured to control each of the target smart devices to act according to the action parameters.

[0040] In a fifth aspect, an implementation system of an unattended store is provided, which includes:

[0041] a smart decision platform and a smart device domain;

[0042] the smart decision platform is configured to acquire a user demand of a user, acquire running state data of each smart device in the store through the smart device domain, determine a coordination strategy based on the running state data and the user demand, the coordination strategy including respective action parameters of at least one target smart device for achieving the user demand, and control each of the target smart devices to act according to the action parameters through the smart device domain;

[0043] the smart device domain is configured to acquire running state data of each smart device in the store, send the running state data to the smart decision platform, acquire a coordination strategy, the coordination strategy including respective action parameters of at least one target smart device for achieving a user demand of a user, and control each of the target smart devices to act according to the action parameters.

[0044] In a sixth aspect, an electronic device is provided, which includes a processor, a memory and a communication bus, wherein the processor and the memory complete communication with each other through the communication bus;

[0045] the memory is configured to store a computer program;

[0046] The processor is configured to execute a program stored in the memory to implement the method for implementing the unattended store of the first aspect or the method for implementing the unattended store of the second aspect.

[0047] In a seventh aspect, a computer-readable storage medium is provided, which stores a computer program. When the computer program is executed by a processor, the method for implementing the unattended store of the first aspect or the method for implementing the unattended store of the second aspect is implemented.

[0048] The above technical solution provided by the embodiments of the present application has the following advantages compared with the prior art: the method provided by the embodiments of the present application acquires the demand of a user and the running state data of each smart device in a store through a smart device domain; based on the running state data and the demand of the user, a cooperative strategy is determined, the cooperative strategy including action parameters of each target smart device for achieving at least one target of the demand of the user; and through the smart device domain, each target smart device is controlled to act according to the action parameters. It can be seen that the unattended store is realized for the user by using the present solution. BRIEF DESCRIPTION OF DRAWINGS

[0049] The accompanying drawings, which are incorporated herein and form part of the specification, illustrate embodiments consistent with the present application and, together with the description, further serve to explain the principles of the application.

[0050] In order to more clearly illustrate the technical solutions of the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced as follows. Obviously, for those skilled in the art, other drawings can also be obtained based on these drawings without any creative effort.

[0051] Figure 1 FIG. 1 is a flowchart of the method for implementing the unattended store according to an embodiment of the present application;

[0052] Figure 2 FIG. 2 is another flowchart of the method for implementing the unattended store according to an embodiment of the present application;

[0053] Figure 3 FIG. 3 is a structural diagram of the device for implementing the unattended store according to an embodiment of the present application;

[0054] Figure 4 FIG. 4 is another structural diagram of the device for implementing the unattended store according to an embodiment of the present application;

[0055] Figure 5 FIG. 5 is a structural diagram of the system for implementing the unattended store according to an embodiment of the present application;

[0056] Figure 6 FIG. 6 is a structural diagram of the electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0057] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the following will be combined with the accompanying drawings for the embodiments of the present application to make a clear and complete description of the technical solutions in the embodiments of the present application. Obviously, the described embodiments are a part rather than all of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0058] It should be noted that the terms "first", "second" and the like in the description and claims of the present application and the above drawings are used to distinguish similar objects, and do not necessarily indicate a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in other than the order illustrated or described herein. In addition, the terms "comprise" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device that includes a series of steps or units does not have to be limited to those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to the process, method, product or device.

[0059] In order to solve the technical problems existing in the related art, the embodiments of the present application provide an implementation method of an unattended store, which can be applied to an intelligent decision platform arranged in a store.

[0060] As shown in Figure 1 The method can include the following steps:

[0061] Step 101, obtaining a user demand of a user; and obtaining running state data of each intelligent device in the store through an intelligent device domain.

[0062] In the embodiment, a microphone is arranged in the store, the microphone can collect audio data of the user, and the voice can be uploaded to the intelligent decision platform through the intelligent network. The intelligent decision platform can determine the user demand of the user by extracting the keywords in the audio data.

[0063] In the embodiment, the intelligent device domain is used to realize the intelligent devices connected to the intelligent network in the area of the store, and the connected intelligent devices are instructed, the instructions are accepted, and the external information perceived by the intelligent devices is collected.

[0064] In the embodiment, the running state data of the intelligent device includes but is not limited to the position of the intelligent device, the number of intelligent devices in service, the number of intelligent devices in standby, the category of the intelligent device and the like.

[0065] Step 102, determining a coordination strategy based on the running state data and the user demand, the coordination strategy including respective action parameters of at least one target intelligent device for achieving at least one target of the user demand.

[0066] In this embodiment, the user demand includes a type of product expected by the user, so that the target category of the intelligent device capable of achieving the user demand can be determined according to the user demand, and then at least one target intelligent device of the category being the target category and the running state data meeting a preset condition is determined from the intelligent devices. In applications, the preset condition here can be that the intelligent device is in standby, the distance between the intelligent device and the user is less than a distance threshold, the angle of the intelligent device facing the user is in a preset angle interval, and the like, which is not limited in this embodiment.

[0067] In this embodiment, the action parameters of the target intelligent device include, but are not limited to, a moving route, a moving distance, a moving direction, a moving time, and the like of the target intelligent device.

[0068] In this embodiment, when the number of target intelligent devices is multiple, the intelligent decision platform can determine the coordination strategy based on a center-based coordination manner. The center-based coordination regards all intelligent devices in a region as a whole, and a core decision node determines which task and action a certain intelligent device in the region specifically performs. When the number of target intelligent devices is one, the intelligent decision platform can determine the coordination strategy based on a centerless coordination manner. The centerless coordination regards each intelligent device as an independent decision node, which itself implements a decision behavior through local cognition and environmental perception, and then realizes group coordination.

[0069] In certain specific marketing scenarios, in order to review and attract members, a merchant will have a discount for a member user to try new products. When a member user receives such a discount notice, he or she can go to the store to receive the discount. In this scenario, the user's demand can be to receive a trial of new products. In order to prevent non-member users from taking advantage of the discount, the user will be verified.

[0070] In specific implementation, in an optional embodiment, when it is determined that the user demand is a trial of new products, image information of the user is acquired; facial features in the image information are identified through a network resource domain; identity information of the user is determined based on the facial features; and it is determined that the user is a member user based on the identity information.

[0071] In this embodiment, the network resource domain is used to realize the coordinated use of multiple network resources. The network resource domain includes, but is not limited to, cloud data and the like.

[0072] In this embodiment, big data can be used to determine the identity information matched by the facial features. The identity information can be the user's identity card information, age, gender, name, and the like. When the identity information of the user can be found from the stored relevant data of the member user, it can be determined that the user is a member user.

[0073] In step 103, the intelligent device domain is used to control the target intelligent devices to act according to the action parameters.

[0074] In this embodiment, the intelligent device domain is also the controller and executor of the cooperative strategy. The intelligent device domain replaces the intelligent decision platform to control and execute the cooperative strategy, which can greatly reduce the pressure of the intelligent decision platform. When there are many users in the store, the decision speed of the intelligent decision platform can be greatly improved by this way, and the user experience can be improved.

[0075] In one example, the user wants to experience the effect of the temperature and humidity of the space after the combination of the air conditioner and the humidifier in the store. The user gives the set temperature and humidity, in which the temperature is 25℃ and the humidity is 35%. The intelligent decision platform gives the cooperative strategy that the air conditioner runs for 5 minutes first, and then the humidifier starts to run from the perspective of saving energy. After the intelligent device domain obtains the cooperative strategy, it sends a control instruction to the air conditioner to make the air conditioner run and control the temperature at 25℃. After determining that the air conditioner runs for 5 minutes, the intelligent device domain sends a control instruction to the humidifier to make the humidifier run.

[0076] In this embodiment, in order to improve economic benefits and attract users to consume, after the user's demand is completed, the intelligent decision platform can also recommend products to the user.

[0077] In a specific implementation, in one optional embodiment, after the intelligent device domain is used to control the target intelligent devices to act according to the action parameters, the image information of the user is obtained; the facial features in the image information are identified by the network resource domain; the identity information of the user is determined based on the facial features; and the intelligent device domain is used to recommend target products matched with the identity information to the user.

[0078] In this embodiment, when the target products are recommended based on the identity information of the user, the products suitable for the user's age, gender, and the like can be recommended to the user based on big data.

[0079] In this embodiment, in order to improve the hit rate of the recommended products, when the products are recommended to the user, it can be determined whether the user is a purchased user based on the identity information. If it is determined that the user is a purchased user, the products are recommended based on the historical purchase record and the historical consultation record of the user.

[0080] In a specific implementation, in one optional embodiment, when the identity information indicates that the user is a purchased user, the user's historical consultation records and historical purchase records are obtained; the target product is determined based on the historical consultation records and historical purchase records.

[0081] In one example, based on historical consultation and purchase records, it is possible to identify products that a user has not yet purchased and recommend such products to the user.

[0082] In this embodiment, the system can query the network resource domain to see if there are purchase records corresponding to the user's identity information, thereby determining whether the user is a purchased user. When there are purchase records corresponding to the user's identity information, the user is determined to be a purchased user.

[0083] The technical solution provided in this example obtains user needs and acquires operational status data of various smart devices within the store through the smart device domain. Based on the operational status data and user needs, a coordination strategy is determined, which includes the action parameters of at least one target smart device to fulfill the user needs. Through the smart device domain, each target smart device is controlled to act according to the action parameters. Therefore, this solution enables unmanned store operation for users.

[0084] This application provides a method for implementing unmanned stores, which can be applied to the smart device domain set up in the store.

[0085] like Figure 2 As shown, the method may include the following steps:

[0086] Step 201: Obtain the operating status data of each smart device in the store;

[0087] Step 202: Send operational status data to the intelligent decision-making platform;

[0088] Step 203: Obtain the collaboration strategy, which includes the action parameters of at least one target smart device to achieve the user's needs.

[0089] Step 204: Control each target intelligent device to act according to the action parameters.

[0090] Optionally, control each target intelligent device to act according to the action parameters, including:

[0091] The sequence of actions for each target intelligent device is determined based on action parameters;

[0092] Control the actions of each target smart device according to the sequence of actions.

[0093] Based on the same concept, the embodiment of the present application provides an unattended store implementation device. The specific implementation of the device can be referred to the description of the method embodiment part, and the repeated parts will not be described here, such as Figure 3 As shown in the figure, the device mainly includes:

[0094] The first acquisition module 301 is configured to acquire the user demand of the user, and acquire the running state data of each smart device in the store through the smart device domain.

[0095] The determination module 302 is configured to determine a cooperation strategy based on the running state data and the user demand, and the cooperation strategy includes action parameters of each target smart device for achieving at least one target of the user demand.

[0096] The first control module 303 is configured to control each target smart device to act according to the action parameters through the smart device domain.

[0097] The device is also used for:

[0098] Before determining the cooperation strategy based on the running state data and the user demand, when it is determined that the user demand is new product trial, the image information of the user is acquired.

[0099] The facial features in the image information are identified through the network resource domain.

[0100] The identity information of the user is determined based on the facial features.

[0101] It is determined that the user is a member user based on the identity information.

[0102] The device is also used for:

[0103] After the action of each target smart device according to the action parameters is controlled through the smart device domain, the image information of the user is acquired.

[0104] The facial features in the image information are identified through the network resource domain.

[0105] The identity information of the user is determined based on the facial features.

[0106] The target product matched with the identity information is recommended to the user through the smart device domain.

[0107] The device is used for:

[0108] When it is confirmed that the identity information indicates that the user is a purchased user, the historical consultation record and the historical purchase record of the user are acquired.

[0109] The target product is determined based on the historical consultation record and the historical purchase record.

[0110] The device is used for:

[0111] When it is determined through the network resource domain that there is a purchase record corresponding to the identity information, it is confirmed that the identity information indicates that the user is a purchased user.

[0112] Based on the same concept, the embodiment of the present application provides an implementation device of the unattended store, and the specific implementation of the device can be referred to the description of the method embodiment part, and the repeated parts will not be described here again, such as Figure 4 As shown in the figure, the device mainly includes:

[0113] The second acquisition module 401 is configured to acquire the running state data of each intelligent device in the store.

[0114] The sending module 402 is configured to send the running state data to the intelligent decision platform.

[0115] The third acquisition module 403 is configured to acquire the cooperative strategy, and the cooperative strategy includes the action parameters of each target intelligent device for achieving the user demand of the user.

[0116] The second control module 404 is configured to control each target intelligent device to act according to the action parameters.

[0117] The second control module 404 is configured to:

[0118] determine the action sequence of each target intelligent device based on the action parameters;

[0119] control each target intelligent device to act according to the action sequence.

[0120] Based on the same concept, the embodiment of the present application provides an implementation system of the unattended store, and the specific implementation of the system can be referred to the description of the method embodiment part, and the repeated parts will not be described here again, such as Figure 5 As shown in the figure, the system mainly includes:

[0121] The intelligent decision platform 501, the intelligent device domain 502 and the intelligent device 503;

[0122] The intelligent decision platform 501 is configured to acquire the user demand of the user; acquire the running state data of each intelligent device 503 in the store through the intelligent device domain 502; determine the cooperative strategy based on the running state data and the user demand, and the cooperative strategy includes the action parameters of each target intelligent device for achieving the user demand; and control each target intelligent device to act according to the action parameters through the intelligent device domain 502;

[0123] The intelligent device domain 502 is configured to acquire the running state data of each intelligent device 503 in the store; send the running state data to the intelligent decision platform 501; acquire the cooperative strategy, and the cooperative strategy includes the action parameters of each target intelligent device for achieving the user demand of the user; and control each target intelligent device to act according to the action parameters.

[0124] For the convenience of understanding, the following specific implementation is given for the above system:

[0125] The intelligent device domain is used to implement the connection of the basic intelligent devices in the access network, and the access devices are instructed, accepted and instructed. The external information sensed by the basic intelligent device is collected and counted. The network resource domain realizes the collaborative use of multiple network resources including but not limited to cloud data. The intelligent decision service platform collects the information transmitted by the intelligent device domain using intelligent collaborative strategy, makes reasonable decisions using algorithms, and then transmits information through the network resource domain. Finally, the instruction is given to the basic device domain, and the basic device domain is used to access each device. This module is the core of the entire system, and is also used to manage each item of the system.

[0126] S1: Before the customer enters the store, the intelligent network has linked all the intelligent terminal devices (including air conditioners, sweeping robots, clothes dryers, etc.), managed and dispatched all the intelligent terminal devices, and located each intelligent terminal device in the store. The number of intelligent terminal devices in service and standby, dispatch each intelligent terminal device in service, and send the environment information and customer demand collected by the intelligent terminal device to the intelligent decision platform. The intelligent decision platform analyzes and processes the specific service request. If the request involves multiple devices, a centralized collaborative strategy is used, and if the request only involves a single device, a decentralized intelligent collaborative strategy is used to complete the customer demand.

[0127] S2: Through the collection and acquisition of the image information of the customer by the intelligent terminal device, the image information is uploaded to the system through the intelligent network, and then the network resource domain provided by the intelligent network infrastructure is used to identify the customer's face through image recognition, identify whether the customer is a member or a new customer, and then identify the customer's gender, age and other characteristics through feature recognition. Through the microphone, the customer's voice is collected, and the voice information is uploaded to the system through the intelligent network, and then the AI extracts the voice keywords through voice recognition, and filters out the product name or product type mentioned by the customer. At this time, the identified products, such as air conditioners and televisions, will be controlled by the intelligent collaborative system of the intelligent network, and will identify the specific needs of the customer, and will display the corresponding category functions according to the information provided by the intelligent terminal device, achieving the effect of collaboration.

[0128] S3: The intelligent decision-making platform based on the Internet of Things (IoT) makes intelligent recommendations to customers based on the identified image and voice information. If the customer is identified as a member, intelligent recommendations are made based on the customer's past purchase and consultation records, such as recommending consulted products that have not been purchased before. If the customer is identified as a new customer, intelligent recommendations are made based on the customer's image characteristics, such as gender and age, such as recommending trendy products to young customers. If the customer mentions a product or product type that they are interested in, the recommendations are switched to that product or product type. The IoT controls display terminal devices to play product videos or pictures and controls the devices to broadcast product information to interact with customers.

[0129] S4: After a customer completes a purchase, the basic terminal customer service equipment, being connected to the Internet of Things, can access the network resource domain provided by the system. When a customer has a question, it can search for and answer the question independently, achieving accurate after-sales service and improving the customer's after-sales experience.

[0130] Based on the same concept, this application also provides an electronic device, such as... Figure 6 As shown, the electronic device mainly includes a processor 601, a memory 602, and a communication bus 606. The processor 601 and the memory 602 communicate with each other via the communication bus 606. The memory 602 stores programs that can be executed by the processor 601. The processor 601 executes the programs stored in the memory 602 to achieve the following steps:

[0131] The system acquires user needs and obtains operational status data of various smart devices within the store through the smart device domain. Based on the operational status data and user needs, it determines a collaborative strategy, which includes the action parameters of at least one target smart device to achieve the user needs. Through the smart device domain, it controls each target smart device to act according to the action parameters.

[0132] or,

[0133] Acquire operational status data of each smart device in the store; send operational status data to the intelligent decision-making platform; acquire coordination strategies, which include the action parameters of at least one target smart device to meet the user's needs; and control each target smart device to act according to the action parameters.

[0134] The communication bus 606 mentioned in the above electronic device can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The communication bus 606 can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 6 Only one thick line is used to represent the bus in the above electronic device, but it does not mean that there is only one bus or only one type of bus.

[0135] The memory 602 can include a Random Access Memory (RAM) and can also include a non-volatile memory, such as at least one disk memory. Optionally, the memory can also be at least one storage device located away from the aforementioned processor 601.

[0136] The aforementioned processor 601 can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc., and can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA) or other programmable logic device, a discrete gate or transistor logic device, a discrete hardware component.

[0137] In still another embodiment of the present application, a computer readable storage medium is also provided, and the computer readable storage medium stores a computer program. When the computer program runs on a computer, the computer program causes the computer to execute the implementation method of the unattended store described in the above embodiments.

[0138] In the embodiments described above, all or some of the steps can be implemented by software, hardware or firmware, or any combination thereof. When implemented by software, all or some of the steps can be implemented in the form of one or more computer programs. The computer program can be stored in any computer readable medium, and loaded into the computer for execution. The computer readable medium includes: a computer storage medium and a computer communication medium. The computer storage medium includes: volatile memory and non-volatile memory. The computer storage medium includes: an electric medium, a magnetic medium, an optical medium, and a solid medium. The computer communication medium includes: computer communication networks and computer networks. The computer program can be loaded into many different computers and computers networks to implement the embodiments described in the present application.

[0139] It should be noted that the terms "first" and "second" and the like in this text are used only to distinguish one entity or action from another, and do not necessarily require or imply these entities or actions have any such actual relationship or order. Also, the terms "include", "contain" or any other variants thereof are intended to cover non-exclusive inclusion, so that processes, methods, articles or devices including a series of elements not only include those elements, but also include other elements not explicitly listed or inherent to such processes, methods, articles or devices. Without more limitations, the element defined by the statement "including a" does not exclude the presence of other identical elements in the process, method, article or device including the element.

[0140] The above description is only a specific implementation of the present application, which enables those skilled in the art to understand or implement the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to these embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features applied herein.

Claims

1. An unmanned store implementation method, characterized by, The application is applied to an intelligent decision platform, comprising: obtaining user demand of a user; and obtaining running state data of each intelligent device in a store through an intelligent device domain; determining a cooperative strategy based on the running state data and the user demand, the cooperative strategy comprising action parameters of each target intelligent device for achieving at least one target of the user demand; controlling each target intelligent device to act according to the action parameters through the intelligent device domain; wherein the user demand comprises a type of product expected by the user, a target category of intelligent devices capable of achieving the user demand is determined according to the user demand, and at least one target intelligent device is determined from each intelligent device, which is of the target category and has running state data meeting preset conditions; the preset conditions are that the intelligent device is in standby, the distance between the intelligent device and the user is less than a distance threshold, and the angle of the intelligent device facing the user is in a preset angle range.

2. The method of claim 1, wherein, Before determining the cooperative strategy based on the running state data and the user demand, the method further comprises: when it is determined that the user demand is new product trial, obtaining image information of the user; identifying facial features in the image information through a network resource domain; determining identity information of the user based on the facial features; determining that the user is a member user based on the identity information.

3. The method of claim 1, wherein, After controlling each target intelligent device to act according to the action parameters through the intelligent device domain, the method further comprises: obtaining image information of the user; identifying facial features in the image information through a network resource domain; determining identity information of the user based on the facial features; recommending a target product matching the identity information to the user through the intelligent device domain.

4. The method of claim 3, wherein, Recommending a target product matching the identity information to the user comprises: when it is confirmed that the identity information indicates that the user is a purchased user, obtaining historical consultation records and historical purchase records of the user; determining the target product based on the historical consultation records and the historical purchase records.

5. The method of claim 4, wherein, Confirming that the identity information indicates that the user is a purchased user comprises: when it is determined through the network resource domain that there is a purchase record corresponding to the identity information, confirming that the identity information indicates that the user is a purchased user.

6. An unmanned store implementation method characterized by comprising: The application is applied to an intelligent device domain, comprising: obtaining running state data of each intelligent device in a store; sending the running state data to an intelligent decision platform; obtaining a cooperative strategy, the cooperative strategy comprising action parameters of each target intelligent device for achieving user demand of a user; controlling each target intelligent device to act according to the action parameters; wherein the user demand comprises a type of product expected by the user, a target category of intelligent devices capable of achieving the user demand is determined according to the user demand, and at least one target intelligent device is determined from each intelligent device, which is of the target category and has running state data meeting preset conditions; the preset conditions are that the intelligent device is in standby, the distance between the intelligent device and the user is less than a distance threshold, and the angle of the intelligent device facing the user is in a preset angle range.

7. The method of claim 6, wherein, Controlling each target intelligent device to act according to the action parameters comprises: The action sequence of each target smart device is determined based on the action parameters; Control the actions of each target smart device according to the order of actions.

8. An unmanned store implementation device, characterized by comprising: Applications in intelligent decision-making platforms include: The first acquisition module is used to acquire user needs and to acquire operational status data of various smart devices in the store through the smart device domain. The determination module is used to determine a coordination strategy based on the operating status data and the user requirements. The coordination strategy includes the action parameters of at least one target smart device that achieves the user requirements. The first control module is used to control each of the target smart devices to act according to the action parameters through the smart device domain; The user requirements include the type of product the user expects. Based on the user requirements, a target category of smart devices that can meet the user requirements is determined. At least one target smart device is selected from all smart devices, and its operating status data meets preset conditions. The preset conditions are that the smart device is in standby mode, the distance between the smart device and the user is less than a distance threshold, and the angle of the smart device facing the user is within a preset angle range.

9. An unmanned store implementation device, characterized by comprising: Applied to the smart device domain, including: The second acquisition module is used to acquire the operating status data of each smart device in the store; The sending module is used to send the operating status data to the intelligent decision-making platform; The third acquisition module is used to acquire the collaboration strategy, which includes the action parameters of at least one target smart device that realizes the user's user needs. The second control module is used to control each of the target intelligent devices to act according to the action parameters; The user requirements include the type of product the user expects. Based on the user requirements, a target category of smart devices that can meet the user requirements is determined. At least one target smart device is selected from all smart devices, and its operating status data meets preset conditions. The preset conditions are that the smart device is in standby mode, the distance between the smart device and the user is less than a distance threshold, and the angle of the smart device facing the user is within a preset angle range.

10. An unmanned store implementation system, characterized by comprising: include: Intelligent decision-making platform, intelligent device domain, and intelligent devices; The intelligent decision-making platform is used to obtain user needs; The system obtains operational status data of each smart device in the store through the smart device domain; based on the operational status data and the user's needs, it determines a collaboration strategy, which includes action parameters of at least one target smart device to achieve the user's needs; and controls each target smart device to act according to the action parameters through the smart device domain. The intelligent device domain is used to acquire the operating status data of each intelligent device in the store; and to send the operating status data to the intelligent decision-making platform. Acquire a coordination strategy, the coordination strategy including action parameters of at least one target smart device for fulfilling the user's user needs; control each of the target smart devices to act according to the action parameters; The user demand includes a type of product expected by the user, a target category of intelligent devices capable of achieving the user demand is determined according to the user demand, and at least one target intelligent device is determined from the intelligent devices, the category of which is the target category and the running state data of which meets a preset condition; the preset condition is that the intelligent device is in standby, the distance between the intelligent device and the user is less than a distance threshold, and the angle of the intelligent device facing the user is in a preset angle range.

11. An electronic device, comprising: Comprise: a processor, a memory and a communication bus, wherein the processor and the memory complete communication with each other through the communication bus; the memory is used for storing a computer program; the processor is used for executing the program stored in the memory, and realizing the unmanned store implementation method in any one of claims 1-5 or the unmanned store implementation method in any one of claims 6-7.

12. A computer-readable storage medium storing a computer program, characterized in that, The computer program is executed by the processor to realize the unmanned store implementation method in any one of claims 1-5 or the unmanned store implementation method in any one of claims 6-7.

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