CN114338928A - Electric signal processing method and system based on telephone voice exchange system - Google Patents

Electric signal processing method and system based on telephone voice exchange system Download PDF

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Publication number
CN114338928A
CN114338928A CN202111519938.0A CN202111519938A CN114338928A CN 114338928 A CN114338928 A CN 114338928A CN 202111519938 A CN202111519938 A CN 202111519938A CN 114338928 A CN114338928 A CN 114338928A
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telephone
task
cloud server
electric signal
voice
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CN202111519938.0A
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付东洋
支涛
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Beijing Yunji Technology Co Ltd
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Beijing Yunji Technology Co Ltd
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Priority to CN202111519938.0A priority Critical patent/CN114338928A/en
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Abstract

The scheme provides an electric signal processing method and a processing system based on a telephone voice switching system, wherein the processing method comprises the following steps: s1, converting an electric signal generated during a call through telephone equipment into a network signal by a voice converter, and transmitting the converted network signal to a cloud server; s2, the cloud server analyzes the received network signal and extracts order information; s3, the cloud server analyzes the analyzed order information through an analysis scheduling model, and an output result of the analysis scheduling model is disassembled into a plurality of mutually independent execution tasks; s4, the cloud server transmits the multiple execution tasks to corresponding execution equipment respectively; and S5, each executing device executes operation according to the received instruction. The method can be used for clearing the information interaction barrier between the telephone equipment and the robot, realizing the transmission and processing of the same signal between different equipment, improving the information transmission efficiency, improving the shopping convenience, shortening the shopping time and saving the labor cost.

Description

Electric signal processing method and system based on telephone voice exchange system
Technical Field
The invention relates to the technical field of telephone voice processing, in particular to an electric signal processing method and system based on a telephone voice switching system.
Background
In places such as hotels, hospitals, buildings, parks, exhibition halls, factories and the like, users often place orders through telephones, after staff receive ordering telephones, the users generally manually handle orders, manually deliver the articles ordered by the users or input order processing information into a robot, and the robot is controlled to finish food delivery by giving orders to the robot. However, whether the staff delivers the meal in person or the robot is manually controlled, the whole order processing and delivering process is very complicated, errors are easy to occur, and the labor cost is greatly increased.
In the prior art, a telephone voice order and network processing are not combined, and the main reason is that communication equipment such as a telephone uses an electric signal to transmit information, and mobile equipment such as a computer and a mobile phone uses a network signal to transmit information. That is, making a call is information transmission through an electric signal, and video or voice chat, etc. is information transmission through a network signal. However, most of the existing robots transmit information with a server through network signals, and telephone equipment cannot convert voice calls into network signals, so that the existing robots cannot communicate with the robots through the telephones.
In summary, because there is an information interaction barrier between the telephone device and the robot, the transmission and processing of the same signal cannot be realized between different pieces of information equipment, and therefore, an order placed through the telephone device cannot be directly transmitted to the robot for automatic processing.
Therefore, in view of the current situation, it is urgently needed to design and produce an electric signal processing method based on a telephone voice exchange system, so as to solve the problem that in the prior art, an order placed by a telephone device cannot be directly transmitted to a robot for automatic processing, which results in low information transmission efficiency.
Disclosure of Invention
One of the objectives of the present invention is to provide an electrical signal processing method based on a telephone voice exchange system, which is capable of making a call to the information interaction barrier between the telephone equipment and the robot, realizing the transmission and processing of the same signal between different equipment, improving the information transmission efficiency, improving the shopping convenience, shortening the shopping time, and saving the labor cost.
The second objective of the present invention is to provide an electrical signal processing system based on a telephone voice switching system, which provides software and hardware support for the above electrical signal processing method based on a telephone voice switching system, and the above electrical signal processing method based on a telephone voice switching system is applied to the processing system.
The purpose of the invention is realized by the following technical scheme.
An electric signal processing method based on a telephone voice switching system comprises the following steps:
s1, converting an electric signal generated during a call through telephone equipment into a network signal by a voice converter, and transmitting the converted network signal to a cloud server;
s2, the cloud server analyzes the received network signal and extracts order information;
s3, the cloud server analyzes the analyzed order information through an analysis scheduling model, and an output result of the analysis scheduling model is disassembled into a plurality of mutually independent execution tasks;
s4, the cloud server transmits the multiple execution tasks to corresponding execution equipment respectively;
and S5, each executing device executes operation according to the received instruction.
Preferably, in step S3, the executing task includes: a distribution task, a delivery task, a reply task and a notification task;
in step S4, the cloud server transmits the delivery task to the corresponding delivery robot in the form of an instruction, transmits the delivery task to the corresponding vending machine in the form of an instruction, transmits the reply task to the voice converter in the form of an instruction, converts the network signal into an electrical signal by the voice converter, transmits the electrical signal to the telephone device in the call, and reversely transmits the notification task to the multimedia device in the form of an instruction;
in step S5, the delivery robot delivers the goods according to the received command, the vending machine delivers the goods according to the received command, the telephone device prompts the order processing situation according to the received command, and the multimedia device displays the information contained in the notification task on the multimedia screen.
Preferably, the information corresponding to the reply task includes: whether order processing was successful, time to delivery.
Preferably, the information corresponding to the delivery task includes: the goods taking time, the transportation starting point coordinate and the transportation end point coordinate; the information corresponding to the downloading task comprises: starting the serial number of the goods channel conveyor belt, the time of goods delivery and the serial number of the distribution robot.
Preferably, the information corresponding to the notification task comprises the contents of the goods to be delivered and transported, the delivery process, the transportation process and the transportation path.
Preferably, the order information input to the analysis scheduling model includes a commodity name, a commodity model number, and a time to arrival.
Preferably, the voice converter is an IAD device.
Preferably, the analysis scheduling model is a model trained by machine learning.
An electrical signal processing system based on a telephone voice switching system, to which the electrical signal processing method based on the telephone voice switching system as described in any one of the above is applied, the electrical signal processing system based on the telephone voice switching system comprising:
a telephone device for making a call;
the voice converter is used for converting the electric signal during the call through the telephone equipment into a network signal and transmitting the converted network signal to the cloud server, and also used for converting the network signal into the electric signal and transmitting the converted electric signal to the telephone equipment during the call;
the cloud server is used for analyzing the received network signals, extracting order information, analyzing the analyzed order information through an analysis scheduling model, disassembling an output result of the analysis scheduling model into a plurality of mutually independent execution tasks, and then respectively transmitting the execution tasks to corresponding execution equipment;
and the execution device is used for executing operation according to the received instruction.
Preferably, the execution apparatus includes:
a delivery robot for delivering the goods according to the received instruction;
the vending machine is used for transferring goods according to the received instruction;
the multimedia equipment is used for displaying the information contained in the notification task on a multimedia screen;
the telephone equipment is also used for prompting order processing conditions according to the received instruction voice.
The invention has the beneficial effects that:
the scheme provides an electric signal processing method based on a telephone voice switching system, which comprises the following steps: s1, converting an electric signal generated during a call through telephone equipment into a network signal by a voice converter, and transmitting the converted network signal to a cloud server; s2, the cloud server analyzes the received network signal and extracts order information; s3, the cloud server analyzes the analyzed order information through an analysis scheduling model, and an output result of the analysis scheduling model is disassembled into a plurality of mutually independent execution tasks; s4, the cloud server transmits the multiple execution tasks to corresponding execution equipment respectively; and S5, each executing device executes operation according to the received instruction. The scheme can be used for clearing the information interaction barrier between the telephone equipment and the robot, realizing the transmission and processing of the same signal between different equipment through signal conversion and improving the information transmission efficiency. According to the scheme, the telephone equipment and the full-automatic distribution process are combined, the analysis scheduling model is introduced, the multiple execution tasks are respectively issued to different execution equipment, the whole process is communicated from the user terminal equipment to the internet of things equipment, the information transmission efficiency is improved, the user experience is greatly improved, the shopping convenience is improved, the shopping time is shortened, and the labor cost is saved.
Drawings
Fig. 1 is a flowchart of an electrical signal processing method based on a telephone voice switching system according to the present embodiment;
fig. 2 is a schematic structural diagram of an electrical signal processing system based on a telephone voice switching system according to this embodiment.
In the figure:
1-a telephone device; 2-a voice converter; 3-a cloud server; 4-a delivery robot; 5-vending machine; 6-a multimedia device;
31-analyze the scheduling model.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Method embodiment
As shown in fig. 1, the present invention provides an electrical signal processing method based on a telephone voice switching system, which includes the following steps:
s1, a user carries out voice call through telephone equipment, a voice converter converts an electric signal received during the call through the telephone equipment into a network signal, and the converted network signal is transmitted to a cloud server.
In this embodiment, the voice converter is preferably an IAD device. The IAD device is an integrated access device that can deliver traditional PSTN voice services, packet voice services, and data services over a single WAN link (through a LAN port), etc. simultaneously. The IAD device may convert voice to a network signal or vice versa. Of course, the voice converter is not limited to the IAD device, but may be other devices.
The telephone equipment can be a fixed telephone or a mobile phone.
And S2, the cloud server analyzes the received network signal and extracts the order information.
In the process of communication, the voice information of the user is more, and other information besides the order information can be carried. Therefore, the cloud server is required to analyze the received network signal transmitted by the voice converter, extract the order information and accurately analyze the order information through the analysis scheduling model, and store the non-order information in the database.
And S3, the cloud server analyzes the analyzed order information through an analysis scheduling model, and an output result of the analysis scheduling model is disassembled into a plurality of mutually independent execution tasks.
In this embodiment, as a preferred scheme, the analysis scheduling model is a model trained by machine learning, and the analysis scheduling model can be continuously optimized by continuously collecting data through early-stage continuous learning, and processing and adding the data, so that the processing accuracy of the analysis scheduling model is higher.
In this step, as a preferred scheme, the order information input by the analysis scheduling model includes, but is not limited to, a commodity name, a commodity model number, and a time of arrival. The execution tasks comprise a distribution task, a delivery task, a reply task and a notification task. Namely, the output information of the analysis scheduling model is a distribution task, a delivery task, a reply task and a notification task. The analysis scheduling model plans a delivery task, a reply task and a notification task according to the commodity name, the commodity model and the arrival time.
Preferably, the information corresponding to the delivery task includes: pick-up time, transport start coordinates, and transport end coordinates. But is not limited to such information.
Preferably, the information corresponding to the task of placing the order includes: starting the serial number of the goods channel conveyor belt, the time of goods delivery and the serial number of the distribution robot. But is not limited to such information.
Preferably, the reply task includes: whether order processing was successful, time to delivery. But is not limited to such information.
Preferably, the information corresponding to the notification task comprises the contents of the goods to be placed and transported, the placing process, the transporting process and the transporting route. But is not limited to such information.
And S4, the cloud server transmits the multiple execution tasks to the corresponding execution devices respectively.
In this step, the cloud server transmits the delivery tasks (the pickup time, the transportation start point coordinates, and the transportation end point coordinates) to the corresponding delivery robots in the form of instructions. And the cloud server transmits the delivery tasks (the number of the delivery channel conveyor belt, the delivery time and the number of the delivery robot) to the corresponding vending machines in the form of instructions. The cloud server transmits a reply task (whether order processing is successful or not and arrival time) to the voice converter in a command form, and the voice converter converts the network signal into an electric signal and transmits the electric signal to the telephone equipment in the call. The cloud server transmits the notification tasks (the contents of the goods to be placed and transported, the placing process, the transporting process and the transporting path) to the multimedia device in a reverse direction in the form of instructions.
And S5, each executing device executes operation according to the received instruction.
In this step, the delivery robot delivers the goods according to the received instruction. Specifically, the delivery robot moves to the transportation start coordinate according to the given pickup time, and after the goods are picked, the delivery robot delivers the goods to the transportation end coordinate.
And the vending machine transfers goods according to the received instruction. Specifically, at the time of delivery given in the instruction, the vending machine starts the corresponding starting channel conveyor belt according to the received starting channel conveyor belt number, the channel conveyor belt conveys the goods to the specified position, the number of the delivery robot is identified, and if the number of the delivery robot is the same as the number of the delivery robot in the instruction, the goods are placed on the corresponding delivery robot through the manipulator.
The telephone equipment prompts the order processing situation according to the received instruction voice, such as whether the order processing is successful or not, if the order processing is successful, the telephone equipment prompts the arrival time, and if the order processing is not successful, the telephone equipment prompts the follow-up processing, such as the operation of placing an order again and the like.
The multimedia device displays the information contained in the notification task on the multimedia screen, and the user can master the order condition of the user at any time through the displayed information. For example, the order is checked to see whether the goods are placed and transported correspondingly, so that whether the goods are transported wrongly or not is determined, the placing process, the transporting process and the transporting path of the order are known, and if a problem occurs, the problem can be timely handled. In this step, the multimedia device preferably displays the information contained in the notification task on the multimedia screen in a scrolling cycle, and the content is updated at any time. The scheme can ensure that the user can know the order condition of the user at any time.
Device embodiment
As shown in fig. 2, in the present invention, an electrical signal processing system based on a telephone voice switching system provides software and hardware support for the above electrical signal processing method based on a telephone voice switching system, and the above electrical signal processing method based on a telephone voice switching system is applied to the processing system. The electric signal processing system based on telephone voice exchange system includes:
a telephone apparatus 1 for making a call.
The voice converter 2 is configured to convert an electrical signal during a call through the telephone device 1 into a network signal, transmit the converted network signal to the cloud server 3, and also be configured to convert the network signal into an electrical signal, and transmit the converted electrical signal to the telephone device 1 during the call.
And the cloud server 3 is configured to analyze the received network signal, extract order information, analyze the analyzed order information through the analysis scheduling model 31, disassemble an output result of the analysis scheduling model 31 into a plurality of mutually independent execution tasks, and transmit the plurality of execution tasks to corresponding execution devices respectively.
And the execution device is used for executing operation according to the received instruction.
In this embodiment, as a preferable scheme, the execution device includes:
a delivery robot 4 for delivering the goods according to the received instruction;
the vending machine 5 is used for placing goods according to the received instruction;
a multimedia device 6 for displaying information contained in the notification task on a multimedia screen;
the telephone equipment 1 is also used for prompting order processing conditions according to the received instruction voice. Such as whether the order processing is successful, if so, prompting the arrival time, and if not, prompting the follow-up processing, such as placing the order again and the like.
In the present embodiment, the delivery robot 4 is preferably a wheel robot. The wheeled robot has the advantages of stable walking, low failure probability, low cost and high performance-price ratio. The dispensing robot 4 is not limited to a wheeled robot.
The above are only typical examples of the present invention, and besides, the present invention may have other embodiments, and all the technical solutions formed by equivalent substitutions or equivalent changes are within the scope of the present invention as claimed.

Claims (10)

1. An electric signal processing method based on a telephone voice switching system is characterized by comprising the following steps:
s1, converting an electric signal generated during a call through telephone equipment into a network signal by a voice converter, and transmitting the converted network signal to a cloud server;
s2, the cloud server analyzes the received network signal and extracts order information;
s3, the cloud server analyzes the analyzed order information through an analysis scheduling model, and an output result of the analysis scheduling model is disassembled into a plurality of mutually independent execution tasks;
s4, the cloud server transmits the multiple execution tasks to corresponding execution equipment respectively;
and S5, each executing device executes operation according to the received instruction.
2. The electrical signal processing method based on a telephone voice switching system according to claim 1, wherein in step S3, the performing task includes: a distribution task, a delivery task, a reply task and a notification task;
in step S4, the cloud server transmits the delivery task to the corresponding delivery robot in the form of an instruction, transmits the delivery task to the corresponding vending machine in the form of an instruction, transmits the reply task to the voice converter in the form of an instruction, converts the network signal into an electrical signal by the voice converter, transmits the electrical signal to the telephone device in the call, and reversely transmits the notification task to the multimedia device in the form of an instruction;
in step S5, the delivery robot delivers the goods according to the received command, the vending machine delivers the goods according to the received command, the telephone device prompts the order processing situation according to the received command, and the multimedia device displays the information contained in the notification task on the multimedia screen.
3. The method as claimed in claim 2, wherein the reply task corresponds to a message comprising: whether order processing was successful, time to delivery.
4. The method as claimed in claim 2, wherein the information corresponding to the distribution task comprises: the goods taking time, the transportation starting point coordinate and the transportation end point coordinate; the information corresponding to the downloading task comprises: starting the serial number of the goods channel conveyor belt, the time of goods delivery and the serial number of the distribution robot.
5. The method as claimed in claim 2, wherein the information corresponding to the notification task includes contents of the goods to be placed and transported, a placing process, a transporting process, and a transporting route.
6. The electrical signal processing method based on telephone voice exchange system according to claim 1, wherein the order information inputted to the analysis scheduling model includes a commodity name, a commodity model number, and a time of arrival.
7. A method for processing electrical signals based on a telephone voice switching system according to claim 1, wherein the voice converter is an IAD device.
8. The method of claim 1, wherein the analysis scheduling model is a model trained by machine learning.
9. An electric signal processing system based on a telephone voice switching system, to which the electric signal processing method based on a telephone voice switching system of any one of claims 1 to 8 is applied, characterized by comprising:
a telephone device for making a call;
the voice converter is used for converting the electric signal during the call through the telephone equipment into a network signal and transmitting the converted network signal to the cloud server, and also used for converting the network signal into the electric signal and transmitting the converted electric signal to the telephone equipment during the call;
the cloud server is used for analyzing the received network signals, extracting order information, analyzing the analyzed order information through an analysis scheduling model, disassembling an output result of the analysis scheduling model into a plurality of mutually independent execution tasks, and then respectively transmitting the execution tasks to corresponding execution equipment;
and the execution device is used for executing operation according to the received instruction.
10. A telephone voice switching system based electrical signal processing system according to claim 9, wherein the execution device comprises:
a delivery robot for delivering the goods according to the received instruction;
the vending machine is used for transferring goods according to the received instruction;
the multimedia equipment is used for displaying the information contained in the notification task on a multimedia screen;
the telephone equipment is also used for prompting order processing conditions according to the received instruction voice.
CN202111519938.0A 2021-12-13 2021-12-13 Electric signal processing method and system based on telephone voice exchange system Pending CN114338928A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114782221A (en) * 2022-06-22 2022-07-22 北京云迹科技股份有限公司 Hotel guest room service management system
CN114851210A (en) * 2022-07-05 2022-08-05 北京云迹科技股份有限公司 Robot scheduling method based on cloud platform and scheduling cloud platform

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114782221A (en) * 2022-06-22 2022-07-22 北京云迹科技股份有限公司 Hotel guest room service management system
CN114851210A (en) * 2022-07-05 2022-08-05 北京云迹科技股份有限公司 Robot scheduling method based on cloud platform and scheduling cloud platform

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