Call system, call host and car restaurant ordering system

Abstract

The invention provides a car restaurant ordering system. The car restaurant ordering system comprises an internal communication system and ordering equipment, the internal communication system comprises a communication terminal and a communication host; the internal communication system communicates with the ordering device through the Internet; the call terminal communicates with the call host through a wireless local area network; the ordering equipment performs voice interaction with a target object by using an AI technology, collects a voice signal of the target object, generates audio data based on the collected voice signal, and sends the audio data to the call host; the call host transmits the data to the call terminal after protocol conversion, or transmits the data from the internal call system to the Internet after protocol conversion; and the call terminal collects the voice signal, generates audio data, sends the audio data to the call host, and receives the audio data issued by the call host. The invention also provides a call system and a call host. According to the invention, the intellectualization of the internal communication system can be enhanced.

Description

Technical Field

[0001] The present disclosure relates to the field of artificial intelligence technology, and in particular to a drive-in restaurant ordering system, a call system, and a call host in the call system. Background Art

[0002] Drive-in Restaurant is a type of restaurant that mainly serves drivers. Its main feature is that it provides a convenient and efficient dining experience, allowing drivers to complete the entire process of ordering, paying and picking up meals without getting out of the car.

[0003] Drive-in restaurants usually have dedicated car shuttle lanes with sensors installed under them. Once a vehicle enters, the service staff in the restaurant can obtain vehicle entry information in a timely manner and use the intercom system to communicate, accurately and quickly preparing the required meals for consumers. The intercom system is a communication network designed for a specific work area or team, allowing team members to communicate privately and efficiently. Intercom communication systems mostly use DECT technology, which is used in a variety of scenarios, such as radio and television, performances, airport terminals, industrial control centers, etc. It helps command and dispatch, coordinate work, and improve work efficiency. Summary of the invention

[0004] In view of this, the present disclosure provides a drive-in restaurant ordering system, a call system, and a call host in the call system to solve the deficiencies in the related art.

[0005] To achieve the above objectives, one or more embodiments of this specification provide the following technical solutions: According to a first aspect of the embodiments of this specification, a drive-in restaurant ordering system is provided, comprising an internal communication system and an ordering device; the internal communication system comprises at least one communication terminal and at least one communication host; the internal communication system and the ordering device communicate via the Internet; the communication terminal and the communication host communicate via a wireless local area network; The ordering device is used to perform voice interaction with the target object using AI technology, collect the voice signal of the target object, generate audio data and order data based on the collected voice signal, and send the audio data and the order data to the call host; The call host is used to transmit data from the Internet to the call terminal after protocol conversion, or to transmit data from the internal call system to the Internet after protocol conversion, or to transmit data interacting between the ordering device and the cloud server through the Internet; The call terminal is used to collect voice signals and generate audio data, send it to the call host, and receive the audio data sent by the call host.

[0006] According to a second aspect of an embodiment of this specification, there is provided a call system, comprising at least one call terminal and at least one call host and a human-computer interaction device communicating through an internal call network; The human-computer interaction device is used to perform voice interaction with the target object using AI technology, collect the voice signal of the target object, generate audio data based on the collected voice signal, and send the audio data to the call host via the Internet; The call host is used to transmit data from the Internet to the call terminal after protocol conversion, or to transmit data from the internal call system to the Internet after protocol conversion, or to transmit data interacted between the human-computer interaction device and other devices on the Internet; The call terminal is used to collect voice signals and generate audio data, send it to the call host, and receive the audio data sent by the call host.

[0007] According to a third aspect of the embodiments of this specification, a call host in the call system of the second aspect is provided.

[0008] In the technical solution disclosed in the present invention, a call host is used as an intermediate device for exchanging data between Internet devices and devices in the internal call system, and communication is established between a computer device integrated with AI technology and a call terminal in the internal call system, so that the internal call system can indirectly possess various capabilities possessed by AI technology, thereby saving labor costs and improving the processing capacity of the entire system.

[0009] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 is a schematic diagram showing a wireless intercom system; Figure 2 is a schematic diagram showing a drive-in restaurant ordering system; Figure 3 is a schematic diagram of a drive-in restaurant ordering system according to an embodiment of this specification; Figure 4 is a schematic diagram of another ordering system for a drive-in restaurant according to an embodiment of this specification; Figure 5 is a schematic diagram of a communication system according to an embodiment of this specification; Figure 6is a schematic diagram of another communication system according to an embodiment of this specification; Figure 7 The figure is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present specification. DETAILED DESCRIPTION

[0011] The user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this disclosure are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with the relevant laws, regulations and standards of relevant countries and regions, and provide corresponding operation entrances for users to choose to authorize or refuse.

[0012] Figure 1 This is a common network architecture of a wireless internal communication system 100. It can be seen that the main feature of the internal communication system is to allow multiple users to access the communication host 20 through communication terminals (communication terminal 10, communication terminal 11...communication terminal N) (communication terminals can be, for example, waist packs, headphones, microphones, dispatch desks, intercoms, etc.) for communication. Wireless communication between each communication terminal and the communication host 20 is usually achieved through DECT technology (but other wireless LAN communication technologies that can realize the internal communication system, such as WIFI, Bluetooth, etc.) are not excluded. When the internal communication system uses DECT technology to realize internal communication, the common communication host 20 can be RRU (Remote Radio Unit).

[0013] In some scenarios, the call terminal may also be a device with only wireless transceiver functions. The call terminal may be connected to a voice collection and voice playback device to receive voice signals collected by the voice collection device and then forward them to the call host 20, and to receive mixed audio signals sent by the call host 20 and play them to the user through the voice playback device. For example, the call terminal may be a call waist bag, which may be connected to a headset. In other scenarios, the call terminal may be integrated with a microphone and a headset, and the structure of the call terminal is not limited in this specification.

[0014] Generally, multiple call terminals wirelessly connected to the call host 20 can be divided into one or more call groups, and calls can be realized between the call terminals in each call group. Assuming that a call group includes a call host 20 (BS) and 8 call terminals, since each call terminal only needs to hear the voice signals collected by other call terminals in the same call group, it does not need to hear the voice signals collected by itself. Therefore, after each call terminal sends the voice signal collected by itself to the call host, for each call terminal, the call host 20 can mix the voice signals collected by other call terminals except the call terminal, and then send them to the call terminal. For example, the call host 20 will receive the voice signals sent by call terminals 10-call terminals 17. For call terminal 1, the voice signals sent by call terminals 11-call terminals 17 can be mixed, and then the mixed signal is returned to the call terminal 10, so that the call terminal 10 plays the mixed signal through the microphone, that is, the user using the call terminal 10 can hear the speech of other users in the group. Similarly, for other call terminals, a similar method can be used to obtain the mixed signal of the call terminal.

[0015] When applying intercom systems to drive-in restaurants, a traditional approach is to combine Figure 2 The drive-in restaurant ordering system 2 shows that the call terminals in the internal communication system will be divided into several communication groups according to the lanes. One lane will be bound to several food preparation staff and at least one order taker. Each call terminal in the same group can receive the audio data collected by other call terminals in the group. Therefore, the conversation between the order taker and the customer can be heard by the food preparation staff. The food preparation staff can also have a conversation with the order taker.

[0016] After the customer 200 arrives at the ordering point 202 in the lane 203, he stops driving. After the underground sensor 201 senses that a vehicle has entered, the headphones worn by the order taker 204 and the food preparation staff 205, 206, and 207 emit a prompt sound; The customer picks up the microphone for ordering, and the order taker 204 can communicate with the customer 200 sitting in the car through the headset and take the order for the customer 200; The food preparation staff 206 suggests the order taker 204 to promote xx food (the customer 200 cannot hear it), and other staff members turn off their microphones; After customer 200 places an order, he picks up the food at pick-up point 208 and leaves.

[0017] It can be seen that the current drive-in restaurant ordering system needs to be equipped with a dedicated order taker, and when there is more than one lane, each lane needs to be equipped with a dedicated order taker. If the system can give the various advantages of AI technology to the internal communication system, it can expand the capabilities of the internal communication system and save labor costs.

[0018] At present, AI (Artificial Intelligence) technology is developing rapidly. AI can usually have the ability of learning, reasoning, self-correction, perception, language understanding and problem solving. Artificial intelligence technology has been widely used in many fields, including machine learning, natural language processing, computer vision, robotics, etc. Communication with users through AI natural language processing technology has been used in many applications. However, there are technical barriers to integrating AI technology into the call terminal of the internal communication system. The call terminal of the internal communication system usually needs to meet the requirements of low power consumption, and the functions provided by the integrated AI technology will have higher requirements on the processing performance of the device, which will also cause the device to fail to meet the requirements of low power consumption. Therefore, how to use AI technology in the scenario of the internal communication system is an urgent problem to be solved.

[0019] Figure 3 The network diagram of the ordering system 30 of a drive-in restaurant in one embodiment is shown. The system includes an internal communication system 32 and an ordering device 31; the internal communication system 32 includes at least one communication terminal (taking the communication terminal group 330 shown in the figure as an example, it can be a communication terminal 3331, a communication terminal 3322...a communication terminal N) and at least one communication host 321; the internal communication system 32 and the ordering device 31 communicate through the Internet 33; the communication terminal in the internal communication system 32 and the communication host 321 communicate through a wireless local area network 34 (for example, a local area network constructed using wireless protocols such as DECT, which will not be enumerated here); The processing chip installed in the ordering device 31 is integrated with AI function. The ordering device 31 can use AI technology to perform voice interaction with the target object, collect the voice signal of the target object, generate audio data and order data based on the collected voice signal, send the audio data to the call host 321, and send the order data to the cloud server; The call host 321 is a bridge for the devices on the Internet and the internal communication system 32 to communicate with each other. The call host 321 is connected to other devices outside the internal communication system 32 through the Internet 33, and realizes internal communication with each call terminal or other call hosts inside the internal communication system 32 through the wireless protocol of the internal communication system 32. In order to transmit data from two different networks, when the call host 321 transmits Internet data to the internal communication system 32, it converts the data from the Internet 33 to each call terminal after protocol conversion, and when it transmits the data of the internal communication system 32 to the Internet, it converts the data from the internal communication system 32 to the Internet after protocol conversion. When there are multiple call hosts 321 in the internal communication network, one of the call hosts 321 can be used as the master device, and the other call hosts 321 can be used as slave devices.

[0020] Each call terminal in the internal call system 32 can collect local voice signals and generate audio data, send it to the call host 321, and receive audio data sent by the call host 321.

[0021] As an example, the ordering device 31 uses AI technology to realize automatic speech recognition (ASR) and natural language processing (NLP). The goal of ASR technology is to convert the vocabulary content in human speech into computer-readable input, while NLP technology aims to enable computers to understand, interpret and generate human language. The ordering device automatically recognizes the collected customer's voice signal as computer-readable input through ASR technology, so that the ordering device 31 converts the voice signal into audio data that can be transmitted over the network, and the automatic recognition result of ASR technology can be used as a data source for NLP processing data, so that the ordering device 31 understands the customer's intention, such as querying the menu, placing an order, etc., so as to realize human-computer interaction with the customer. The ordering device 31 in this specification can use NLP technology to realize multiple rounds of dialogue with customers. The audio signal generated by the multiple rounds of dialogue will be sent to the call host 321, and then forwarded by the call host 321 to other call terminals in the group. Users wearing the call terminals can perform voice interaction in time according to the voice heard.

[0022] In addition, based on some basic information of the customer (such as user name, license plate number, etc.) obtained by the ordering device 31, the machine learning algorithm can be used to analyze the customer's historical data (such as the dishes selected by the customer in the historical order, special flavors, order price, etc.), and the target object can be analyzed for user characteristics, and the personalized data of the customer such as user preferences and purchase history can be obtained. Based on the analysis results, personalized data can be pushed to the target object, such as recommending personalized dishes and packages to the customer to improve user satisfaction and ordering efficiency. In addition, key indicators such as user behavior data and dish sales data can also be collected and analyzed, and the data analysis results can be used to optimize the dish recommendation algorithm, improve the interface design, and improve the system performance. The function of analyzing the customer's historical data mentioned here can be integrated on the ordering device 31, or it can be implemented using a cloud server. When the function of analyzing the user's historical data is implemented by the cloud server, the ordering device 31 can send the audio data generated by one or more rounds of voice interaction to the cloud server through the call host 321, and then forward the push data generated after the cloud server analyzes it to the ordering device 31.

[0023] The ordering device 31 can also provide an interactive interface for order payment, and the cloud server can also integrate order processing and payment functions, support multiple payment methods (such as code scanning payment, face recognition payment, etc.), and facilitate users to quickly complete payment. The order data can be sent to the cloud server, which processes and completes the order payment.

[0024] Since the ordering device 31 and the internal communication system 32 are communicating through the Internet 33, as an embodiment, the ordering device 31 and the call host can have a wired or wireless network interface, and the two devices can be connected to the Internet through the network interface. In one embodiment, this network interface can be a POE (Power over Ethernet) cable interface, which is a technology that can simultaneously transmit data signals and power on an Ethernet cable. This technology allows a single Ethernet cable to provide DC power to some IP-based devices. Therefore, the ordering device 31 transmits Internet data such as audio data and order data through the POE cable interface, and can also transmit power signals, so that the ordering device 31 can be powered without an external power supply, so that the placement of the ordering device 31 does not need to consider whether it is close to the external power interface. Of course, the power supply of the ordering device 31 by an external power supply does not affect the implementation of the present invention.

[0025] In addition, the ordering device 31 may also include a detection unit, which can sense whether there is a target object in the target area, and wake up or put the ordering device 31 into sleep mode based on whether the target object is detected in the target area, which can save power consumption of the ordering device. The type of detection unit can be various, for example, it can be a radar to sense whether a vehicle enters the target area, or it can be a camera to capture an image of the target area and determine whether a vehicle enters the target area through image recognition. The ordering device 31 can also have a dual microphone array, which includes a main microphone and a secondary microphone. The ordering device 31 can perform noise reduction processing on the voice signal based on the target voice captured by the main microphone and the environmental noise captured by the secondary microphone.

[0026] The ordering device 31 and the call host 321 can be connected directly or through other relay devices. Figure 4 The drive-in restaurant ordering system 30 shown in the embodiment also includes a routing device 41, which communicates with the ordering device 31 and the call host 321 through the Internet 33. One of the functions of the routing device 41 is to extend the wiring distance between the ordering device 31 and the call host 321. In addition, if there are more than one call hosts 321, if each call host 321 is connected to the routing device 41, the distance between the call hosts 321 can be extended. The role of the routing device can also be to forward the data interacted between the ordering device 31 and the cloud server.

[0027] Another function of the routing device 41 is to assist in the roaming and switching of each call terminal between different call hosts 321. Since the internal call system 32 can adopt the DECT standard, which is a standard determined by ETSI, the characteristics of this technology are to provide high-quality, low-latency voice services; support data communication services; support automatic lossless switching, including carrier / time slot switching caused by channel characteristics deterioration in the cell, and cross-zone switching caused by user movement. The call host 321 has a connection limit based on the type of wireless technology it uses. Therefore, multiple call hosts 321 may need to be set up in the internal call system 32. Each call host 321 can be networked in a cascade, daisy chain, etc. In this scenario, the call host 321 will be divided into a master and a slave device. The call terminal can roam and switch between different call hosts 321. In order to achieve seamless roaming, the clocks between the master device and the slave device need to be accurately synchronized. Traditional internal call systems are usually based on the two-way transmission and reception of time synchronization messages between the master and the slave devices. The master and the slave devices calculate the total round-trip delay between the two devices based on the transmission and reception timestamps of the messages. In the present application, the routing device 41 can be connected to each call host 321 through a wired network interface 44. While extending the wiring distance between the call hosts 321, it can also send a synchronous clock signal to each call host 321, thereby realizing roaming switching of the call terminal between different call hosts 321.

[0028] It is worth pointing out that in scenes such as filming, stage performances, and large-scale events, it is usually necessary to use the internal communication system 32 to achieve communication between on-site staff, so as to complete the organization and scheduling of work. The technical concept of combining AI technology with the internal communication system 32 provided in this specification can be applied not only in scenes such as drive-in restaurants, but also in scenes where the internal communication system 32 is applicable. Therefore, the technical concept of combining AI technology with the internal communication system 32 provided in this specification can be applied not only in scenes such as drive-in restaurants, but also in scenes where the internal communication system 32 is applicable. Figure 5 An example is provided.

[0029] Figure 5 is a schematic diagram of a call system 50 in one embodiment of the present specification, wherein the internal call network 32 includes at least one call terminal (such as the call terminal group 330 shown in the figure) and at least one call host 321, and also includes a human-computer interaction device 51; The human-computer interaction device 51 can use AI technology to perform voice interaction with the target object, collect the voice signal of the target object, generate audio data based on the collected voice signal, and send the audio data to the call host 321 through the Internet 33; The call host 321 can transmit the data from the Internet 33 to the call terminal after protocol conversion, or transmit the data from the internal communication system 32 to the Internet 33 after protocol conversion according to the data source and destination; The call terminal can collect voice signals and generate audio data, send it to the call host 321, and receive audio data sent by the call host 321.

[0030] The human-computer interaction device 51 can have the functions required in various scenarios according to the different scenarios in which it is applied. For example, for the scenario where an order needs to be concluded, the human-computer interaction device 51 can also generate order data based on the collected audio data, and send the order data to the cloud server through the Internet 33. The content of the order data can generate order data with different contents in different scenarios. For example, the order data for ordering meals can include the dishes, quantity, special requirements for meals ordered by customers, etc. For another example, in medical facilities such as hospitals, the human-computer interaction device 51 can interact with patients to understand their needs, collect the patient's voice signal, obtain the drip speed of the infusion solution, the feedback data on the physical condition, the remaining amount of liquid, etc., and send it to each call terminal group 330 through the call host 321, so as to realize the rapid communication between medical staff and improve the efficiency and quality of patient care. It can also be similar to the solution for generating orders in the scenario of a drive-in restaurant. Patients can realize functions such as ordering meals in hospital restaurants through the human-computer interaction device 51.

[0031] Similarly, you can refer to the various solutions provided above for the application scenarios of drive-in restaurants. The audio data generated by voice interaction can enable the human-computer interaction device 51 or the cloud server to perform user feature analysis, and push personalized data to the target object based on the analysis results. The order data in this specification is a general term for data generated in different scenarios. For example, real-time data when a patient feeds back an infusion to a doctor can also be considered as a type of order data. Depending on the type of order, the goals of user feature analysis and the personalized data pushed will also be different. Those skilled in the art can make adaptive scenario designs inspired by the embodiments disclosed in this specification.

[0032] Similarly, in order to achieve distance extension, the call system may also include a routing device 41, which communicates with the human-computer interaction device 51 and the call host 321 through the Internet 33, and the routing device 41 forwards the data of the interaction between the human-computer interaction device 51 and the call host 321, and the data of the interaction between the human-computer interaction device and the cloud server. In particular, in order to expand the layout distance between each call host 321, the routing device 41 can be connected to each call host 321. If the routing device 41 and the call host 321 are connected through a wired network interface (network interface 43, network interface 44), the routing device 41 can also send a synchronous clock signal to each call host 321, so that the call terminal roams and switches between different call hosts 321.

[0033] The human-computer interaction device 51 can also be connected to the routing device 41 or the call host 321 through a POE network cable interface (network interface 42 in the figure) to obtain a power supply signal without an external power supply.

[0034] In addition, the human-computer interaction device 51 may include a detection unit, which wakes up or puts the human-computer interaction device 51 into sleep mode based on whether a target object is detected in the target area; and the human-computer interaction device 51 may be equipped with a dual microphone array, which includes a main microphone and a secondary microphone, and performs noise reduction processing on the voice signal based on the target voice collected by the main microphone and the environmental noise collected by the secondary microphone.

[0035] In this specification, the call host 321 is both a device in the Internet and a device in the internal communication system 32, and therefore is different from the call host 321 of the traditional internal communication system 32. Its specific working principle can be understood by referring to the technical solutions disclosed in each embodiment in this specification, and will not be repeated here.

[0036] The following combination Figure 6 The embodiments of this specification are presented in more detail with reference to the application examples.

[0037] In the call system 60 in the figure, the human-computer interaction device 601, the routing device 602 and several call hosts are all equipped with wired network ports, and the network interface 6014 of the human-computer interaction device 601 is a POE network port. The human-computer interaction device 601 is interconnected with the network interface 6021 of the routing device 602 through the POE network port (network interface 6014 in the figure). The routing device 602 has several network ports. In addition to being connected to the human-computer interaction device 601 by wire, it is also connected to the network port of the call host through each network port. The main call host 603 is the main device, and the other call hosts are slave devices (the slave call host 606 in the figure). Each call host is equipped with a wireless module (wireless module 6032 and wireless module 6062 in the figure) to achieve wireless connection with each call terminal and build an internal call system 611.

[0038] The human-machine interaction device 601 is designed with a human-machine interaction interface GUI, which is presented to the user through a display unit 6012. The human-machine interaction device 601 is equipped with a processing chip 6013 that integrates multiple AI technologies, namely the ARM in the figure. The human-machine interaction device 601 realizes the collection and playback functions of voice signals through a microphone 6015 and an earphone 6011. In addition, the human-machine interaction device 601 is provided with a detection unit 6014, which can be a radar or a camera or other device. It determines whether the human-machine interaction device 601 needs to be awakened by detecting whether there is someone in the target area. After the human-machine interaction device 601 is awakened, the customer's voice signal is collected, multiple rounds of interaction with the customer are carried out through AI technology, order data is generated, and the interactive audio data and order data are sent to the routing device 602 through the POE network port.

[0039] The routing device 602 sends the audio data to the main call host 603 and the slave call host 606 through the network interface 6022, and sends the order data to the cloud server through the network interface 6021. The main call host 603 distributes the audio data to the call terminal group 604 bound to the host, and the slave call host 606 distributes the audio data to the call terminal group 605 bound to the host. The routing device 602 also sends a clock synchronization signal to each connected call host, so that when the call terminal roams from the signal coverage area of ​​the currently bound call host to the signal coverage area of ​​another call host, seamless switching is achieved.

[0040] After receiving the order data, the cloud server will process the order data, such as completing the payment transaction process.

[0041] The ordering device or human-computer interaction device in this specification may be a computer device. Figure 7 7 is a schematic diagram of the hardware structure of the computer device, which includes a processor 701 and a machine-readable storage medium 702 storing machine-executable instructions. The processor 701 and the machine-readable storage medium 702 can communicate via a system bus 703. In addition, by reading and executing the machine-executable instructions corresponding to the supply and demand forecasting logic in the machine-readable storage medium 702, the processor 701 can execute the various functions of the ordering device or the human-computer interaction device described above.

[0042] The machine-readable storage medium 702 mentioned in the present disclosure can be any electronic, magnetic, optical or other physical storage device, which can contain or store information, such as executable instructions, data, and the like. For example, the machine-readable storage medium 702 can include permanent and non-permanent, removable and non-removable media, and can be implemented by any method or technology to store information. The information can be a computer-readable instruction, a data structure, a module of a program, or other data. Examples of machine-readable storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, read-only compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette, disk storage, quantum memory, graphene-based storage medium or other magnetic storage device or any other non-transmission medium, which can be used to store information that can be accessed by a computing device.

[0043] The systems, devices, modules or units described in the above embodiments may be implemented by computer chips or entities, or by products with certain functions. A typical implementation device is a computer, which may be in the form of a personal computer, a laptop computer, a cellular phone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email transceiver, a game console, a tablet computer, a wearable device or a combination of any of these devices.

[0044] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0045] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0046] The description of "specific examples" or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of this specification. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0047] Those skilled in the art will readily appreciate other embodiments of the specification after considering the specification and practicing the invention claimed herein. The specification is intended to cover any variations, uses or adaptations of the specification that follow the general principles of the specification and include common knowledge or customary techniques in the art that are not claimed in the specification. The specification and examples are to be considered exemplary only, and the true scope and spirit of the specification are indicated by the following claims.

[0048] It should be understood that the present description is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present description is limited only by the appended claims.

[0049] The above description is only a preferred embodiment of this specification and is not intended to limit this specification. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of this specification should be included in the scope of protection of this specification.

Claims

1. A drive-through restaurant ordering system, characterized in that: It includes an internal communication system and a food ordering device; the internal communication system includes at least one communication terminal and at least one communication host; the internal communication system and the food ordering device communicate via the Internet; the communication terminal and the communication host communicate via a wireless local area network; The ordering device is used to perform voice interaction with the target object using AI technology, collect the voice signal of the target object, generate audio data and order data based on the collected voice signal, send the audio data to the call host, and send the order data to the cloud server; The communication host is used to transmit data from the Internet to the communication terminal after protocol conversion, or to transmit data from the internal communication system to the Internet after protocol conversion; The call terminal is used to collect voice signals and generate audio data, send it to the call host, and receive the audio data sent by the call host.

2. The system according to claim 1, characterized in that The audio data is used to enable the ordering device or the cloud server to perform user feature analysis on the target object, and push personalized data to the target object based on the analysis results.

3. The system according to claim 1, characterized in that It also includes a routing device that communicates with the ordering device and the call host via the Internet respectively. The routing device and each call host are connected via a wired network interface. The routing device is used to forward data interacting between the ordering device and the call host, data interacting between the ordering device and the cloud server, and send a synchronous clock signal to the call host to enable roaming switching of the call terminal between different call hosts.

4. The system according to claim 1, characterized in that The ordering device is provided with a POE network cable interface, and the POE network cable interface is used to transmit the audio data and the order data as well as a power signal for supplying power to the ordering device.

5. The system according to claim 1, characterized in that The food ordering device comprises a detection unit, which is used to wake up or put the food ordering device to sleep based on whether a target object is detected in a target area.

6. The system according to claim 1, characterized in that The ordering device is provided with a dual microphone array, which includes a main microphone and a secondary microphone. The ordering device is also used to perform noise reduction processing on the voice signal based on the target voice collected by the main microphone and the environmental noise collected by the secondary microphone.

7. A communication system, characterized in that: It includes at least one call terminal and at least one call host and a human-computer interaction device for communicating through an internal call network; The human-computer interaction device is used to perform voice interaction with the target object using AI technology, collect the voice signal of the target object, generate audio data based on the collected voice signal, and send the audio data to the call host via the Internet; The communication host is used to transmit data from the Internet to the communication terminal after protocol conversion, or to transmit data from the internal communication system to the Internet after protocol conversion; The call terminal is used to collect voice signals and generate audio data, send it to the call host, and receive the audio data sent by the call host.

8. The communication system according to claim 7, characterized in that: The human-computer interaction device is also used to generate order data based on the collected audio data, and upload the order data to a cloud server via the Internet.

9. The communication system according to claim 8, characterized in that: The audio data is used to enable the human-computer interaction device or the cloud server to perform user feature analysis, and push personalized data to the target object based on the analysis results.

10. The communication system according to claim 7, characterized in that: It also includes a routing device that communicates with the human-computer interaction device and the call host through the Internet, and is used to forward data of interaction between the human-computer interaction device and the call host, as well as data of interaction between the human-computer interaction device and the cloud server.

11. The communication system according to claim 10, characterized in that: The routing device is connected to each call host.

12. The communication system according to claim 11, characterized in that: The routing device and the call host are connected via a wired network interface, and the routing device is also used to send a synchronous clock signal to the call host to enable roaming switching of the call terminal between different call hosts.

13. The communication system according to claim 10, characterized in that: The human-computer interaction device is connected to the routing device via a POE network cable interface, and the POE network cable interface is used to transmit data of interaction between the human-computer interaction device and the call host and a power signal for powering the human-computer interaction device.

14. The communication system according to claim 7, characterized in that: The human-computer interaction device comprises a detection unit, which is used to wake up or put the human-computer interaction device to sleep based on whether a target object is detected in a target area; The human-computer interaction device is provided with a dual microphone array, which includes a main microphone and a secondary microphone. The human-computer interaction device is also used to perform noise reduction processing on the voice signal based on the target voice collected by the main microphone and the environmental noise collected by the secondary microphone.

15. A call host in the call system according to any one of claims 7 to 14.

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