CN112233671A - Method, device, equipment and medium for controlling GNSS receiver based on dialect recognition - Google Patents
Method, device, equipment and medium for controlling GNSS receiver based on dialect recognition Download PDFInfo
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- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/13—Receivers
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- G10L15/06—Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
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Abstract
The invention provides a GNSS receiver control method based on dialect recognition, which comprises the steps of obtaining a target dialect audio data stream collected by a microphone, and carrying out data processing on the target dialect audio data stream to obtain target dialect data; inputting target dialect data into a preset neural network model for recognition to obtain a voice control instruction; preprocessing the voice control instruction, packaging the processed voice control instruction according to a preset protocol to obtain a control instruction data packet, and sending the control instruction data packet to the GNSS receiver through an IIC interface; reading a control instruction data packet received by the GNSS receiver, and analyzing the control instruction data packet to obtain a control instruction; and controlling the GNSS receiver to execute the corresponding function according to the control instruction. The method for controlling the GNSS receiver based on dialect identification improves the operation efficiency of a user on the GNSS receiver in severe environments such as outdoors and saves the operation time.
Description
Technical Field
The present invention relates to the field of GNSS receiver control, and in particular, to a GNSS receiver control method, apparatus, device, and medium based on dialect recognition.
Background
The GNSS (Global Navigation Satellite System) receiver is an important measuring device in the field of surveying and mapping industry at present, and mainly comprises a CORS (continuous Operating Reference Station) host and an RTK (Real-Time Kinematic Real-Time dynamic differential method) host. The function control of the current GNSS receiver mainly comprises host control and host key liquid crystal interactive control by connecting a mobile terminal with WiFi or Bluetooth, so that operators often need to be trained professionally and record in detail, and the operators can master the functions only by repeatedly performing complicated operation exercises on an interactive interface according to steps. Some users using GNSS receivers are elderly engineers with engineering experience, and these tedious operations and interface reading are very obstructive for them, sometimes a function switch or parameter setting wastes some time, and in some special use environments, the GNSS receiver is very inconvenient to operate in the case of base station or static acquisition, for example: the mobile terminal cannot normally use WiFi or Bluetooth to be connected with the host for control in an interference environment, the mobile terminal can only use the key liquid crystal interaction mode of the GNSS receiver device to control in the above using environment, but most of outdoor environments are muddy or rugged and complex, the key liquid crystal interaction operation is inconvenient to be carried out by approaching the host at the moment, and meanwhile, the operation of the mobile terminal or the key operation under the outdoor low-temperature condition is insensitive and inefficient. Therefore, at present, the mobile terminal is connected with WiFi or bluetooth for host control and the host key liquid crystal interaction controls the GNSS receiver, which causes very inconvenient operation in special use environments such as outdoors.
Disclosure of Invention
In order to overcome the defects of the prior art, an object of the present invention is to provide a method for controlling a GNSS receiver based on dialect identification, which can solve the problem that the operation is very inconvenient in special use environments such as outdoors and the like due to the existing method for controlling a host by connecting a mobile terminal to WiFi or bluetooth and controlling the GNSS receiver by key liquid crystal interaction of the host.
The invention also aims to provide a GNSS receiver control device based on dialect identification, which can solve the problem that the operation is very inconvenient in special use environments such as outdoors and the like due to the fact that the existing GNSS receiver is controlled by connecting a mobile terminal with WiFi or Bluetooth and interactively controlling the GNSS receiver through key liquid crystal of a host.
The invention further aims to provide electronic equipment which can solve the problem that the existing GNSS receiver is connected with WiFi or Bluetooth through a mobile terminal to perform host control and is interactively controlled by key liquid crystal of the host, so that the operation is very inconvenient in special use environments such as outdoors and the like.
The fourth objective of the present invention is to provide a computer storage medium, which can solve the problem that the conventional method for controlling a host by connecting a mobile terminal to WiFi or bluetooth and controlling a GNSS receiver by key-press liquid crystal interaction of the host causes inconvenience in operation in special use environments such as outdoors
One of the purposes of the invention is realized by adopting the following technical scheme:
the GNSS receiver control method based on dialect identification comprises the following steps:
the method comprises the steps of obtaining dialect data, obtaining a target dialect audio data stream collected by a microphone, and carrying out data processing on the target dialect audio data stream to obtain target dialect data;
dialect recognition, namely inputting the target dialect data into a preset neural network model for recognition to obtain a voice control instruction corresponding to the target dialect data;
the command encapsulation is used for preprocessing the voice control command to obtain a processed voice control command, encapsulating the processed voice control command according to a preset protocol to obtain a control command data packet, and sending the control command data packet to the GNSS receiver through the IIC interface;
the command analysis is carried out, wherein a control command data packet received by the GNSS receiver is read, and the control command data packet is analyzed to obtain a control command;
and controlling the GNSS receiver to execute the corresponding function according to the control instruction.
Further, the voice control instruction contains text instruction information, and the preprocessing specifically includes: and converting the text instruction information in the voice control instruction into digital serial number information according to a preset digital serial number conversion table to obtain a processed voice control instruction containing the digital serial number information.
Furthermore, the preset number conversion table includes a plurality of different preset text instruction information and a plurality of number sequence information, and each of the number sequence information corresponds to a separate preset text instruction information.
Further, the data processing specifically includes: and respectively carrying out signal conversion processing and feature extraction processing on the dialect audio data streams to obtain target dialect data.
Further, the dialect identification includes creating a preset neural network model, respectively collecting dialect audio data which uses different timbres in different preset areas of dialect types in target dialect data, performing preliminary processing and data set classification processing on the dialect audio data in each preset area to obtain training set data, test set data and verification set data, inputting the training set data in each preset area into an initial neural network model corresponding to the preset area for training, and verifying and testing the initial neural network model corresponding to the preset area by using the verification set data and the test set data in each preset area to obtain the preset neural network model including a plurality of sub-neural network models corresponding to each preset area.
Further, the dialect type of the target dialect data is a Chaoshan dialect, the number of the preset areas is four, and the number of the sub-neural network models is four.
The second purpose of the invention is realized by adopting the following technical scheme:
the GNSS receiver control device based on dialect identification comprises a dialect conversion instruction module and a GNSS receiver main control board, wherein the dialect conversion instruction module comprises a microphone, an MCU unit, a power supply chip and a flash memory, the microphone is connected with the MCU unit, the MCU unit is respectively connected with the flash memory and the power supply chip, the MCU unit is provided with an IIC interface for connecting with the GNSS receiver main control board, a preset neural network model and a starting program for starting the preset neural network model are stored in the flash memory, the microphone collects a target dialect audio data stream and sends the target dialect audio data stream to the MCU unit, the MCU unit performs data processing on the target dialect audio data stream to obtain target dialect data, and the MCU unit starts the preset neural network model through the starting program in the flash memory, inputting the target dialect data into a preset neural network model for recognition to obtain a voice control instruction corresponding to the target dialect data; the MCU unit preprocesses the voice control instruction to obtain a processed voice control instruction, encapsulates the processed voice control instruction according to a preset protocol to obtain a control instruction data packet, sends the control instruction data packet to a GNSS receiver main control board through an IIC interface, and the GNSS receiver main control board reads the control instruction data packet received by the GNSS receiver and analyzes the control instruction data packet to obtain the control instruction; and the GNSS receiver main control board controls the GNSS receiver to execute corresponding functions according to the control instruction.
The third purpose of the invention is realized by adopting the following technical scheme:
an electronic device, comprising: a processor;
a memory; and a program, wherein the program is stored in the memory and configured to be executed by the processor, the program comprising instructions for performing a dialect identification based GNSS receiver control method of the present application.
The fourth purpose of the invention is realized by adopting the following technical scheme:
a computer-readable storage medium having stored thereon a computer program for execution by a processor of the dialect identification based GNSS receiver control method of the present application.
Compared with the prior art, the invention has the beneficial effects that: according to the method for controlling the GNSS receiver based on dialect recognition, data processing is carried out on an obtained target dialect audio data stream, recognition is carried out in a neural network model through input values, an accurate voice control instruction is obtained, the voice control instruction is packaged and is sent to the GNSS receiver through an IIC interface, finally the GNSS receiver is controlled to execute a corresponding function according to the control instruction, the GNSS receiver can be controlled through the dialect, the situation that a user does not need to connect wifi or Bluetooth through a mobile terminal to carry out host control and host key liquid crystal interaction control under severe environments such as the outdoor environment is achieved, the needed control voice can be directly spoken, the requirement that the user who is accustomed to speaking the dialect carries out voice control on the GNSS receiver can be met, and the operation time is saved.
The foregoing description is only an overview of the technical solutions of the present invention, and in order to make the technical solutions of the present invention more clearly understood and to implement them in accordance with the contents of the description, the following detailed description is given with reference to the preferred embodiments of the present invention and the accompanying drawings. The detailed description of the present invention is given in detail by the following examples and the accompanying drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a flowchart illustrating a GNSS receiver control method based on dialect identification according to the present invention.
Detailed Description
The present invention will be further described with reference to the accompanying drawings and the detailed description, and it should be noted that any combination of the embodiments or technical features described below can be used to form a new embodiment without conflict.
As shown in fig. 1, in the GNSS receiver control method based on dialect recognition of the present invention, many operators are more accustomed to using dialects as native languages in the actual use process, so the control method in the application meets the requirement of users for dialect control, and specifically includes the following steps:
and acquiring dialect data, acquiring a target dialect audio data stream acquired by a microphone, and performing data processing on the target dialect audio data stream to obtain target dialect data. The data processing in this embodiment is specifically to perform signal conversion processing and feature extraction processing on the dialect audio data stream respectively to obtain target dialect data.
Creating a preset neural network model, respectively collecting dialect audio data which use different timbres in different preset areas of dialect types in target dialect data, and performing primary processing and data set classification processing on the dialect audio data in each preset area to obtain training set data, test set data and verification set data, wherein the primary processing is to perform endpoint cutting processing and noise reduction processing on the dialect audio data, and the data set classification processing is to classify the dialect audio data subjected to the primary processing into training set data, test set data and verification set data according to preset parameters. Inputting the training set data in each preset area into the initial neural network model corresponding to the preset area for training, and verifying and testing the initial neural network model corresponding to the preset area by using the verification set data and the test set data in each preset area to obtain a preset neural network model containing a plurality of sub-neural network models corresponding to each preset area. In the embodiment, the target dialect data and the scheme recognition voice type in the whole scheme are set as the Chaoshan dialect, and as the mandarin of the Chaoshan has thick local accents, most Chaoshan people are used to communicate with the Chaoshan dialect, the scheme in the application can enable a user of the Chaoshan dialect to intelligently control the GNSS receiver by using the most fluent and familiar language. The preset areas in this step are four geographical areas using Chaoshan phones respectively, and Chaoshan phone audio data which do not use tone in the four areas are collected as original training data, namely dialect audio data in the four areas. The preset Neural network model in this embodiment is a Neural network model containing a Convolutional Neural Network (CNN) and a ctc (connected temporal classification) algorithm.
And dialect recognition, namely inputting the target dialect data into a preset neural network model for recognition to obtain a voice control instruction corresponding to the target dialect data. In this embodiment, after the target data is input to the preset neural network for recognition, the obtained voice control instruction contains text instruction information.
And the command encapsulation is used for preprocessing the voice control command to obtain a processed voice control command, encapsulating the processed voice control command according to a preset protocol to obtain a control command data packet, and sending the control command data packet to the GNSS receiver through an IIC (Inter-Integrated Circuit) interface, wherein the IIC interface is an interface for transmitting data in an IIC communication protocol format, and the IIC interface is simply a bus for communication between ICs (chips). In this embodiment, the voice control instruction obtained through dialect recognition is text instruction information, and at this time, the text instruction information needs to be converted into digital serial number information, that is, the text instruction information in the voice control instruction is converted into digital serial number information according to a preset digital serial number conversion table, so as to obtain a processed voice control instruction containing the digital serial number information. The preset number conversion table is shown in table 1 below,
table 1: conversion table for preset number sequence
The preset digital sequence number conversion table comprises a plurality of text instruction information and digital sequence number information, wherein each piece of digital sequence number information corresponds to unique digital sequence number information, and each piece of digital sequence number information corresponds to the function of a unique GNSS receiver. Table 2 shows a table of preset protocol formats used for encapsulating the processed voice control command in this embodiment,
table 2: table of preset protocol formats
And analyzing the command, namely reading the control command data packet received by the GNSS receiver, and analyzing the control command data packet to obtain the control command.
And controlling the GNSS receiver to execute the corresponding function according to the control instruction. In this embodiment, the finally obtained control command is digital signal information, and at this time, the GNSS receiver is controlled to execute a corresponding function according to the digital sequence number information and the function of the GNSS receiver in table 1, which is exemplified as follows: if the control instruction is "01", the GNSS receiver is controlled to execute "voice wakeup" so that the GNSS receiver can recognize all instructions within a certain time, and if the control instruction is "02", the GNSS receiver is controlled to "set the GNSS receiver to a mobile station acquisition mode, and a differential data chain is a radio station data chain", and so on, which are not given by way of example.
The application provides a GNSS receiver control device based on dialect recognition, which comprises a dialect conversion instruction module and a GNSS receiver main control board, wherein the dialect conversion instruction module comprises a microphone, an MCU unit, a power chip and a flash memory, the microphone is connected with the MCU unit, the MCU unit is respectively connected with the flash memory and the power chip, the MCU unit is provided with an IIC interface for connecting with the GNSS receiver main control board, a preset neural network model and a starting program for starting the preset neural network model are stored in the flash memory, the microphone collects a target dialect audio data stream and transmits the target dialect audio data stream to the MCU unit, the MCU unit processes data of the target dialect audio data stream to obtain target dialect data, the MCU unit starts the preset neural network model through the starting program in the flash memory and inputs the target dialect data into the preset neural network model for recognition, obtaining a voice control instruction corresponding to the target dialect data; the method comprises the steps that an MCU unit preprocesses a voice control instruction to obtain a processed voice control instruction, the processed voice control instruction is packaged according to a preset protocol to obtain a control instruction data packet, the control instruction data packet is sent to a GNSS receiver main control board through an IIC interface, the GNSS receiver main control board reads the control instruction data packet received by a GNSS receiver and analyzes the control instruction data packet to obtain a control instruction; and the GNSS receiver main control board controls the GNSS receiver to execute corresponding functions according to the control instruction.
The application provides an electronic device, including: a processor;
a memory; and a program, wherein the program is stored in the memory and configured to be executed by the processor, the program comprising instructions for performing the dialect-based GNSS receiver control method of the present application.
The present application provides a computer-readable storage medium having stored thereon a computer program for execution by a processor of the method for dialect identification based GNSS receiver control in the present application.
According to the method for controlling the GNSS receiver based on dialect recognition, data processing is carried out on an obtained target dialect audio data stream, recognition is carried out in a preset neural network model of an input value, an accurate voice control instruction is obtained, the voice control instruction is packaged and is sent to the GNSS receiver through an IIC interface, finally the GNSS receiver is controlled to execute a corresponding function according to the control instruction, the GNSS receiver can be controlled through the dialect, a user does not need to connect WiFi or Bluetooth through a mobile terminal to carry out host control and host key liquid crystal interaction control under severe environments such as outdoors, the needed control voice can be directly spoken, the requirement that the user who is accustomed to speaking the dialect carries out voice control on the GNSS receiver can be met, and the operation time is saved.
The foregoing is merely a preferred embodiment of the invention and is not intended to limit the invention in any manner; those skilled in the art can readily practice the invention as shown and described in the drawings and detailed description herein; however, those skilled in the art should appreciate that they can readily use the disclosed conception and specific embodiments as a basis for designing or modifying other structures for carrying out the same purposes of the present invention without departing from the scope of the invention as defined by the appended claims; meanwhile, any changes, modifications, and evolutions of the equivalent changes of the above embodiments according to the actual techniques of the present invention are still within the protection scope of the technical solution of the present invention.
Claims (9)
1. The GNSS receiver control method based on dialect recognition is characterized in that: the method comprises the following steps:
the method comprises the steps of obtaining dialect data, obtaining a target dialect audio data stream collected by a microphone, and carrying out data processing on the target dialect audio data stream to obtain target dialect data;
dialect recognition, namely inputting the target dialect data into a preset neural network model for recognition to obtain a voice control instruction corresponding to the target dialect data;
the command encapsulation is used for preprocessing the voice control command to obtain a processed voice control command, encapsulating the processed voice control command according to a preset protocol to obtain a control command data packet, and sending the control command data packet to the GNSS receiver through the IIC interface;
the command analysis is carried out, wherein a control command data packet received by the GNSS receiver is read, and the control command data packet is analyzed to obtain a control command;
and controlling the GNSS receiver to execute the corresponding function according to the control instruction.
2. The dialect identification based GNSS receiver controlling method of claim 1, wherein: the voice control instruction contains text instruction information, and the preprocessing specifically comprises the following steps: and converting the text instruction information in the voice control instruction into digital serial number information according to a preset digital serial number conversion table to obtain a processed voice control instruction containing the digital serial number information.
3. The dialect identification based GNSS receiver controlling method of claim 2, wherein: the preset number sequence number conversion table comprises a plurality of different preset text instruction information and a plurality of number sequence number information, and each number sequence number information corresponds to the independent preset text instruction information.
4. The dialect identification based GNSS receiver controlling method of claim 1, wherein: the data processing specifically comprises: and respectively carrying out signal conversion processing and feature extraction processing on the dialect audio data streams to obtain target dialect data.
5. The dialect identification based GNSS receiver controlling method of claim 1, wherein: before dialect identification, a preset neural network model is created, dialect audio data which are not in tone color and are in different preset areas of dialect types in target dialect data are collected respectively, the dialect audio data in each preset area are subjected to primary processing and data set classification processing to obtain training set data, test set data and verification set data, the training set data in each preset area are input into an initial neural network model corresponding to the preset area for training, the verification set data and the test set data in each preset area are used for verifying and testing the initial neural network model corresponding to the preset area, and a preset neural network model containing a plurality of sub-neural network models corresponding to each preset area is obtained.
6. The dialect identification based GNSS receiver controlling method of claim 5, wherein: the dialect type of the target dialect data is Chaoshan dialect, the number of the preset areas is four, and the number of the sub-neural network models is four.
7. GNSS receiver controlling means based on dialect discernment characterized by: the device comprises a dialect conversion instruction module and a GNSS receiver main control board, wherein the dialect conversion instruction module comprises a microphone, an MCU unit, a power chip and a flash memory, the microphone is connected with the MCU unit, the MCU unit is respectively connected with the flash memory and the power chip, the MCU unit is provided with an IIC interface for connecting with the GNSS receiver main control board, a preset neural network model and a starting program for starting the preset neural network model are stored in the flash memory, the microphone collects a target dialect audio data stream and sends the target dialect audio data stream to the MCU unit, the MCU unit carries out data processing on the target dialect audio data stream to obtain target dialect data, the MCU unit starts the preset neural network model through the starting program in the flash memory and inputs the target dialect data into the preset neural network model for identification, obtaining a voice control instruction corresponding to the target dialect data; the MCU unit preprocesses the voice control instruction to obtain a processed voice control instruction, encapsulates the processed voice control instruction according to a preset protocol to obtain a control instruction data packet, sends the control instruction data packet to a GNSS receiver main control board through an IIC interface, and the GNSS receiver main control board reads the control instruction data packet received by the GNSS receiver and analyzes the control instruction data packet to obtain the control instruction; and the GNSS receiver main control board controls the GNSS receiver to execute corresponding functions according to the control instruction.
8. An electronic device, characterized by comprising: a processor;
a memory; and a program, wherein the program is stored in the memory and configured to be executed by the processor, the program comprising instructions for carrying out the method of any one of claims 1-6.
9. A computer-readable storage medium having stored thereon a computer program, characterized in that: the computer program is executed by a processor for performing the method of any one of claims 1-6.
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Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103245954A (en) * | 2012-02-09 | 2013-08-14 | 广州市中海达测绘仪器有限公司 | GNSS voice system |
| CN103297830A (en) * | 2012-12-17 | 2013-09-11 | 天津思博科科技发展有限公司 | Television with touchpad and visible function or set top box remote control |
| CN103344973A (en) * | 2013-06-24 | 2013-10-09 | 开平市中铝实业有限公司 | Auto voice input navigation system |
| CN104536305A (en) * | 2014-10-31 | 2015-04-22 | 广州市中海达测绘仪器有限公司 | Control method and system of RTK measuring device |
| CN205450280U (en) * | 2015-12-28 | 2016-08-10 | 宾得励精科技(上海)有限公司 | High accuracy satellite receiver based on GNSS module |
| CN109410914A (en) * | 2018-08-28 | 2019-03-01 | 江西师范大学 | A kind of Jiangxi dialect phonetic and dialect point recognition methods |
| CN109785828A (en) * | 2017-11-13 | 2019-05-21 | 通用汽车环球科技运作有限责任公司 | Spatial term based on user speech style |
| CN110430230A (en) * | 2019-06-20 | 2019-11-08 | 广州南方卫星导航仪器有限公司 | A kind of high precision GNSS receiver remote setting method and device |
| CN110654423A (en) * | 2019-10-17 | 2020-01-07 | 中铁第五勘察设计院集团有限公司 | Railway operation safety early warning method, equipment and system and GNSS receiver |
| US20200160836A1 (en) * | 2018-11-21 | 2020-05-21 | Google Llc | Multi-dialect and multilingual speech recognition |
| CN211181045U (en) * | 2020-01-17 | 2020-08-04 | 江苏深农智能科技有限公司 | Wisdom agricultural is with multi-functional temperature and humidity sensor |
| CN211293168U (en) * | 2019-09-03 | 2020-08-18 | 山西通信通达微波技术有限公司 | Generator operation monitoring system based on Internet of things cloud platform |
-
2020
- 2020-08-28 CN CN202010886088.7A patent/CN112233671A/en active Pending
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103245954A (en) * | 2012-02-09 | 2013-08-14 | 广州市中海达测绘仪器有限公司 | GNSS voice system |
| CN103297830A (en) * | 2012-12-17 | 2013-09-11 | 天津思博科科技发展有限公司 | Television with touchpad and visible function or set top box remote control |
| CN103344973A (en) * | 2013-06-24 | 2013-10-09 | 开平市中铝实业有限公司 | Auto voice input navigation system |
| CN104536305A (en) * | 2014-10-31 | 2015-04-22 | 广州市中海达测绘仪器有限公司 | Control method and system of RTK measuring device |
| CN205450280U (en) * | 2015-12-28 | 2016-08-10 | 宾得励精科技(上海)有限公司 | High accuracy satellite receiver based on GNSS module |
| CN109785828A (en) * | 2017-11-13 | 2019-05-21 | 通用汽车环球科技运作有限责任公司 | Spatial term based on user speech style |
| CN109410914A (en) * | 2018-08-28 | 2019-03-01 | 江西师范大学 | A kind of Jiangxi dialect phonetic and dialect point recognition methods |
| US20200160836A1 (en) * | 2018-11-21 | 2020-05-21 | Google Llc | Multi-dialect and multilingual speech recognition |
| CN110430230A (en) * | 2019-06-20 | 2019-11-08 | 广州南方卫星导航仪器有限公司 | A kind of high precision GNSS receiver remote setting method and device |
| CN211293168U (en) * | 2019-09-03 | 2020-08-18 | 山西通信通达微波技术有限公司 | Generator operation monitoring system based on Internet of things cloud platform |
| CN110654423A (en) * | 2019-10-17 | 2020-01-07 | 中铁第五勘察设计院集团有限公司 | Railway operation safety early warning method, equipment and system and GNSS receiver |
| CN211181045U (en) * | 2020-01-17 | 2020-08-04 | 江苏深农智能科技有限公司 | Wisdom agricultural is with multi-functional temperature and humidity sensor |
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