CN110645985A - Voice navigation system and method for strip mine truck - Google Patents
Voice navigation system and method for strip mine truck Download PDFInfo
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- CN110645985A CN110645985A CN201910916264.4A CN201910916264A CN110645985A CN 110645985 A CN110645985 A CN 110645985A CN 201910916264 A CN201910916264 A CN 201910916264A CN 110645985 A CN110645985 A CN 110645985A
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Abstract
The invention provides a voice navigation system and a method for a truck in a strip mine, wherein the navigation system comprises a navigation terminal and a navigation server, the navigation terminal collects operation information, navigation request information, inquiry request information and GNSS information of the truck in real time and uploads the information to the navigation server, the navigation server receives and stores the information uploaded by the navigation terminal, generates navigation information and inquiry information by processing the navigation request and the inquiry request of the navigation terminal, generates early warning information and production information in real time, and sends the information to the navigation terminal for an interface display module and voice broadcasting. The invention adds the voice interaction function, the early warning prompt function and the production information prompt function on the basis of the existing truck navigation technology, and can greatly reduce the accident rate in the strip mine production.
Description
Technical Field
The technology relates to the field of mine digitization, in particular to a voice navigation system and a voice navigation method for an open-pit mine truck.
Background
The existing navigation technology of the truck in the strip mine only relates to the aspect of path planning, namely, the path from a starting point to a target point is planned by using various path planning laws and rules, the simple navigation system cannot realize the standard restriction on the driving behavior of a truck driver, and cannot meet the high-efficiency operation requirement, for example, the driver exceeds the speed specified by a company in the process of driving at the bottom of a pit of the strip mine, the vehicle is out of control when the driver encounters a turn and an ascending and descending slope, when the road in front is uneven, the driver still exceeds the speed threshold value of the truck in the road section, and the part of the truck is permanently damaged due to the overlarge bumping degree when the truck passes through the uneven road; moreover, because the visual field of a driver is limited, whether a vehicle comes from the front or not cannot be known, whether the traffic flow density in the front is large or not cannot be known, the distance between the surrounding vehicles and the vehicle cannot be known, and a traffic accident is caused by unclear road conditions when the driver converges; or when the truck does not reach the specified low speed, the driver manually steps on the brake (the electric brake mode is adopted when the truck is at the low speed), so that the brake pads of the truck are abraded and ignited, and then the truck is ignited, or the driver lifts the truck to run after unloading materials, scrapes other building objects when running, and the building objects smash the cab, so that great potential safety hazards are formed for the driver and people around the building objects.
The current navigation system has no production information prompt, a driver cannot know own yield information (such as the yield in the same month and the ranking condition of the yield in the company), running state information (such as average speed and oil consumption) of a truck, the quantity information of vehicles to be unloaded at a front unloading point and the quantity information of vehicles to be loaded at the front loading point in real time in the running process, and some production data cannot be known, so that the running efficiency is not high, and the working enthusiasm is not good.
The existing navigation system has no voice prompt function, the driver of the strip mine truck is monotonous and tedious in driving operation for a long time, fatigue driving is easy to form, and particularly, drivers driving at night and night are easy to fatigue driving, so that fatal potential safety hazards exist.
Due to the problems, a large economic burden is caused to companies, and a great potential safety hazard exists. The open pit mine urgently needs a voice navigation system which can regulate the driving behavior of a truck driver according to the open pit mine truck driving regulation, provide latest real-time production information of the open pit mine for the driver and interact with the driver to relieve fatigue driving of the driver, so that the safety accidents in the open pit mine production are greatly reduced, and the economic loss of a company is reduced.
Disclosure of Invention
In order to solve the defects in the background art and the problems of potential safety hazards caused by the defects, the invention aims to provide a voice navigation system and a voice navigation method for a truck in an open pit mine, so that the latest real-time production information of the open pit mine is provided for a truck driver, the driving behavior of the truck driver is normalized, and the driving fatigue of the driver is relieved through voice interaction.
In order to achieve the technical purpose, the technical scheme of the invention is as follows:
a voice navigation system of a strip mine truck comprises a navigation terminal and a navigation server, wherein the navigation terminal comprises: the system comprises a voice input module, a GNSS module, an information acquisition module, a navigation terminal communication module, an interface display module and a voice output module, wherein the voice input module is used for identifying the destination information input by the truck driver by voice as character destination information and converting the character destination information into navigation request information, the voice input module is also used for identifying the query information input by the truck driver by voice as character query information and converting the character query information into the query request information, the GNSS module is used for receiving GNSS signals of the truck and generating the GNSS information, the information acquisition module is used for acquiring the running information of the truck and the information transmitted by the voice input module and the GNSS module and generating transmission data according to a communication protocol, the navigation terminal communication module is used for communicating with the navigation server and transmitting the data generated by the information acquisition module to the navigation server, and receiving the information sent back by the navigation server, displaying the information sent back by the navigation server through the interface display module, and broadcasting the information through the voice output module.
The navigation server includes: the system comprises an information storage module, a navigation request processing module, an inquiry request processing module, a truck operation early warning module, a production information processing module and a navigation server communication module, wherein the information storage module is used for storing truck operation information and GNSS information uploaded by a navigation terminal into a database, and the navigation server communication module is used for receiving the navigation request information, the inquiry request information, the truck operation information and the GNSS information uploaded by the navigation terminal, sending the navigation information, the inquiry information, the production information and the early warning information fed back by the navigation request processing module, the inquiry request processing module, the truck operation early warning module and the production information processing module of the navigation server to an interface display module of the navigation terminal for display, and meanwhile, reporting is carried out through a voice output module of the navigation terminal.
The navigation request processing module in the navigation server is used for generating navigation information according to GNSS information uploaded by the navigation terminal, the navigation request information and the existing opencut road network information of the database, the opencut road network information is generated by professional software in the aspect, and the navigation request processing module is directly configured and connected to the navigation server, so that the road network information of a driving road where a truck is located can be uploaded;
the query request processing module in the navigation server is used for processing the query request information uploaded by the navigation terminal and generating query information;
the truck operation early warning module in the navigation server is used for monitoring the operation state of each truck in real time according to the truck operation information and GNSS information which are received and stored in the database by the navigation terminal, and generating early warning information if necessary;
and the production information processing module in the navigation server is used for processing and generating the production information in the running process of the truck in real time.
A voice navigation method of a voice navigation system of a strip mine truck comprises the following processes:
the method comprises the following steps: the navigation terminal collects the vehicle running information and the GNSS information in real time and uploads the vehicle running information and the GNSS information to the navigation server in real time according to a preset time interval through the navigation terminal communication module, when destination information input by a driver through voice is processed into navigation request information through the voice input module, when inquiry information input by the driver through voice is processed into inquiry request information through the voice input module, and the navigation terminal collects the navigation request information and the inquiry request information and uploads the information to the navigation server through the navigation terminal communication module;
step two: the navigation server receives truck operation information, GNSS information, navigation request information and query request information uploaded by the navigation terminal;
step three: when the navigation server receives the navigation request information, generating navigation information containing navigation paths according to the navigation request information, the GNSS information and the opencut road network information, and sending the navigation information to the navigation terminal, and when the navigation server receives the query request information, generating query information by retrieving the contents of the database and sending the query information to the navigation terminal; the navigation server automatically judges the running state and the surrounding running environment of the truck according to the truck running information and GNSS information stored in the database in real time, and when an early warning condition occurs, the truck running early warning module automatically generates early warning information according to an early warning algorithm and sends the early warning information to the navigation terminal; the navigation server generates production information according to the truck running information and the GNSS information in the database at a preset time interval and sends the production information to the navigation terminal;
step four: and when the navigation terminal receives the navigation information, the query information, the early warning information and the production information in the third step, displaying the navigation information, the query information, the early warning information and the production information through the interface display module, and converting the text information into voice information through the voice output module for playing. The navigation information comprises a front turning, a front ascending slope, a front descending slope, a front vehicle gathering, a distance from a destination, a vehicle waiting condition at a loading point and a vehicle waiting condition at an unloading point; the early warning conditions comprise that the oil temperature is too high, the car is lifted to drive, the working condition of an engine is abnormal, overspeed is caused, a brake is stepped on against regulations, the front road is uneven, and the density of the front traffic flow is high.
The early warning algorithm is specifically executed as follows:
the S1 early warning processing module reads the truck running information and the GNSS information in the database at regular time and judges whether an early warning condition occurs in real time; the specific judgment process of the early warning condition is as follows:
judging that the oil temperature is too high when the value of an oil temperature field of the truck is greater than a set oil temperature threshold value;
judging that the speed is too high when the value of the speed field of the truck is larger than a set speed threshold;
thirdly, when the bucket lifting field of the truck is bucket lifting and the speed field is greater than a set speed threshold value, judging that the truck is driven by the bucket lifting;
judging whether the brake is treaded illegally when the brake field of the truck is the brake and the speed field is greater than the set speed threshold value;
matching points formed by the X field and the Y field of the truck to the road section through a road network matching algorithm, and judging that the front road is uneven if the value of the road section field is uneven;
matching X fields and Y fields of all trucks to corresponding road sections through a road network matching algorithm, adding one to the number field value of the truck of a road section if the road section is matched once, and judging that the density of the front traffic flow is high if the number field value of the truck of the road section where the current truck is located is larger than a set threshold value, wherein the road network matching algorithm is that a point formed by the X fields and the Y fields makes a vertical line on a straight line of each road section, and the road section corresponding to the shortest vertical line length value is taken as the matched road section;
when the working condition state field of the engine of the truck is abnormal, judging that the working condition of the engine of the truck is abnormal;
s2, if the early warning condition occurs, the early warning processing module generates early warning information and sends the early warning information to the navigation terminal, and meanwhile, the step S1 is returned to continue to execute judgment;
if no warning situation occurs, the step S3 returns to the step S1 to perform the determination.
The invention has the beneficial effects that:
compared with the prior art, the voice navigation system and method for the open-pit mine truck, provided by the invention, can prompt navigation information in real time and carry out safety early warning, standardizes the driving behavior of a truck driver and reduces the occurrence of dangerous accidents; the system can carry out voice interaction with a driver, broadcasts production information in real time according to an inquiry request, improves production operation efficiency and can generate good economic benefit.
Drawings
Fig. 1 is a schematic diagram of a voice navigation system for a strip mine truck.
FIG. 2 is a flowchart of a voice navigation method according to an embodiment of the present invention.
Detailed Description
The technical features and advantages of the present invention will become more apparent from the following detailed description of the embodiments with reference to the accompanying drawings.
As shown in fig. 1, the voice navigation system for the strip mine truck comprises a navigation terminal and a navigation server. Wherein the navigation terminal includes: the device comprises a voice input module, a GNSS module, an information acquisition module, a navigation terminal communication module, an interface display module and a voice output module. The voice input module is used for recognizing the destination information input by the truck driver in a voice mode as character destination information and converting the character destination information into navigation request information, and the voice input module is also used for recognizing query information input by the truck driver in the voice mode as character query information and converting the character query information into query request information. The GNSS module is used for receiving GNSS signals of the truck and generating GNSS information. The information acquisition module is used for acquiring running information (such as oil temperature, engine speed, bucket lifting state and the like) of a truck, information transmitted by the voice input module and the GNSS module and generating corresponding transmission data according to a communication protocol, the navigation terminal communication module is used for communicating with the navigation server, the accessible communication network comprises a 4G network (mobile 4G: TD-LTE (4G), communication 4G: TD-LTE (4G)/FDD-LTE (4G), telecommunication 4G: TD-LTE (4G)/FDD-LTE (4G)), a Mesh network, a WLAN and the like, the data generated by the information acquisition module is transmitted to the navigation server, and the information transmitted back by the navigation server is received. The interface display module is used for displaying the navigation information, the early warning information, the production information and the query information sent back by the navigation server in an interface; the voice output module is used for converting the navigation information, the query information, the early warning information and the production information sent back by the navigation server into voice information for broadcasting.
The navigation server includes: the system comprises a navigation request processing module, an inquiry request processing module, a truck operation early warning module, a production information processing module, an information storage module and a navigation Server communication module, wherein the navigation Server communication module is used for carrying out data transmission with a navigation terminal, receiving information uploaded by the navigation terminal and sending information generated by a navigation Server to the navigation terminal, the information storage module is used for storing truck operation information and GNSS information received by the navigation Server communication module into a database, the database can be MySQL, SQL Server, Oracle and the like, the navigation request processing module is used for generating navigation information (such as a navigation path) according to destination information and GNSS information uploaded by the navigation terminal and road network information of open mines existing in the database, the operation early warning module is used for judging the truck operation information and the GNSS information of each truck in real time, and if the oil temperature is too high, the navigation information is generated by the navigation Server, the, The method comprises the steps of generating early warning information under the conditions of abnormal working conditions of a lift truck, overspeed, brake treading against rules, uneven road ahead, high traffic density ahead and the like, wherein a judgment criterion can be set according to management regulations of a company, for example, a speed threshold can be set to 35km/h, early warning is carried out if the speed threshold exceeds the value, a query request processing module is used for processing and generating corresponding data according to query request information uploaded by a navigation terminal and by combining truck running information and GNSS information stored in a database, for example, a driver queries the yield in the month and how many vehicles ahead, the yield in the month and the number of vehicles ahead are returned, a production information processing module is used for processing the production information of the truck in real time according to the truck running information and the GNSS information stored in the database and generating production information data, such as current ranking, the yield of the truck, average distance, speed, average speed and the like, wherein the information generated by the navigation request processing module, the query request processing module, the truck operation early warning module and the production information processing module is transmitted to the navigation terminal through the navigation server communication module, and interface display and voice broadcast are carried out through the navigation terminal.
An embodiment of the voice navigation method of the present invention will be described in detail. The voice navigation method shown in fig. 2 mainly includes the following steps:
the method comprises the following steps: the navigation terminal collects the vehicle running information (such as oil temperature, engine speed, bucket lifting state and the like) and GNSS information in real time, uploads the GNSS information to the navigation server in real time according to a preset time interval through the navigation terminal communication module, processes the navigation request information into a voice input module after the driver inputs destination information in a voice mode, processes the query information into query request information through the voice input module after the query information input by the driver in the voice mode, and collects the navigation request information and the query request information and uploads the navigation request information to the navigation server through the navigation terminal communication module;
step two: the navigation server receives truck operation information, GNSS information, navigation request information and query request information uploaded by the navigation terminal;
step three: when the navigation server receives the navigation request information, the navigation server generates navigation information containing navigation paths according to the navigation request information, GNSS information and opencut mine road network information, and sends the navigation information to the navigation terminal, if the navigation server receives the query request information, query information is generated by retrieving database contents and sent to the navigation terminal, for example, the monthly output of the vehicle is automatically counted according to the truck running information and the GNSS information stored in the database if the query request information is used for querying the monthly output, the navigation server automatically judges the truck running state and the surrounding running environment according to the truck running information and the GNSS information stored in the database in real time, and when an early warning condition occurs, the truck running early warning module automatically generates early warning information according to an early warning algorithm and sends the early warning information to the navigation terminal. The specific execution process of the early warning algorithm is as follows: the S1 early warning processing module reads the running information of the truck in the database at regular time and judges whether the conditions of overhigh oil temperature, overspeed, car lifting, illegal brake stepping, uneven road in front, high density of traffic flow in front, abnormal working condition of an engine and the like occur in real time, wherein the specific judgment process of the early warning condition is as follows: if the values of the oil temperature field and the speed field of a certain truck are larger than the set threshold values, the condition that the oil temperature is too high and overspeed is judged; if the bucket lifting field of a certain truck is bucket lifting and the speed field is greater than the set threshold value, judging that the truck is driven by the bucket lifting; if the brake field of a certain truck is a brake and the speed field is greater than a set threshold value, determining that the brake is treaded illegally; matching points formed by X fields and Y fields of the truck to a road section through a road network matching algorithm, and judging that the front road is uneven if the value of the road section field is uneven; matching X fields and Y fields of all trucks to corresponding road sections through a road network matching algorithm, adding one to the number field value of the truck of a road section if the road section is matched once, judging that the front traffic density is high if the number field value of the truck of the road section where the current truck is located is larger than a set threshold value, wherein the road network matching algorithm is that a point formed by the X fields and the Y fields makes a vertical line on a straight line of each road section, and taking the road section corresponding to the shortest vertical line length value as the matched road section; if the engine working condition state field of a certain truck is abnormal, judging that the engine working condition is abnormal, if one or more abnormal phenomena occur, S2 generating early warning information and sending the early warning information to a navigation terminal, and continuously returning to S1 to execute judgment after the early warning information is sent; if the warning is not needed, the step S3 returns to the step S1 to execute the judgment. And the navigation server generates production information according to the truck running information and the GNSS information in the database at a preset time interval and sends the production information to the navigation terminal.
Step four: and when the navigation terminal receives the navigation information, the query information, the early warning information and the production information in the third step, displaying the navigation information, the query information, the early warning information and the production information through the interface display module, and converting the text information into voice information through the voice output module for playing. For example, for navigation information, the interface displays a navigation path in real time, and prompts information such as a front turn, a front ascending slope, a front descending slope, a front vehicle gathering, a distance to a destination, a vehicle waiting at a loading point, a vehicle waiting at an unloading point and the like through voice broadcasting; for the query information, the interface displays the query result content and performs voice broadcast; for the production information, the interface displays the production information updated in real time, and when a driver needs to know the latest production information, the driver can select a voice broadcast mode through voice output; for the early warning information, the interface needs to flash to warn while displaying the early warning content, and early warning is carried out through voice broadcast.
Claims (7)
1. The utility model provides a voice navigation of strip mine truck, includes navigation terminal and navigation server, its characterized in that:
the navigation terminal includes: the system comprises a voice input module, a GNSS module, an information acquisition module, a navigation terminal communication module, an interface display module and a voice output module, wherein the voice input module is used for identifying the destination information input by the voice of a truck driver as character destination information and converting the character destination information into navigation request information, the voice input module is also used for identifying the query information input by the voice of the truck driver as character query information and converting the character query information into the query request information, the GNSS module is used for receiving GNSS signals of the truck and generating the GNSS information, the information acquisition module is used for acquiring the running information of the truck and the information transmitted by the voice input module and the GNSS module and generating transmission data according to a communication protocol, the navigation terminal communication module is used for communicating with a navigation server and transmitting the data generated by the information acquisition module to the navigation server, receiving the information sent back by the navigation server, displaying the information sent back by the navigation server through the interface display module, and generating voice broadcast information through the voice output module;
the navigation server includes: the system comprises an information storage module, a navigation request processing module, an inquiry request processing module, a truck operation early warning module, a production information processing module and a navigation server communication module, wherein the information storage module is used for storing truck operation information and GNSS information uploaded by a navigation terminal into a database, the navigation server communication module is used for receiving the truck operation information, the GNSS information, the navigation request information and the inquiry request information uploaded by the navigation terminal, and is also used for sending corresponding navigation information, inquiry information, production information and early warning information fed back by the navigation request processing module, the inquiry request processing module, the truck operation early warning module and the production information processing module of the navigation server to an interface display module of the navigation terminal for display, and meanwhile voice broadcast information is generated through a voice output module of the navigation terminal.
2. The voice navigation system of a surface mine truck of claim 1, wherein:
the navigation request processing module is used for generating navigation information containing navigation paths according to the navigation request information uploaded by the navigation terminal, GNSS information and existing opencut mine road network information in a database.
3. The voice navigation system of a surface mine truck of claim 1, wherein:
and the query request processing module is used for processing the query request information uploaded by the navigation terminal and generating the query information.
4. The voice navigation system of a surface mine truck of claim 1, wherein:
the truck operation early warning module is used for monitoring the operation state of each truck in real time according to the truck operation information and GNSS information which are received by the navigation terminal and stored in the database, and generating early warning information if necessary.
5. The voice navigation system of a surface mine truck of claim 1, wherein:
the production information processing module is used for processing and generating production information in the running process of the truck in real time.
6. The voice guidance method of the voice guidance system for a strip mine truck according to any one of claims 1 to 5, characterized by comprising the steps of:
the method comprises the following steps: the navigation terminal collects the car running information and the GNSS information in real time, uploads the car running information and the GNSS information to the navigation server in real time through the navigation terminal communication module according to a preset time interval, processes the car running information and the GNSS information into navigation request information through the voice input module after destination information is input by a driver in a voice mode, processes the inquiry information into inquiry request information through the voice input module after the inquiry information is input by the driver in the voice mode, and collects the navigation request information and the inquiry request information and uploads the information to the navigation server through the navigation terminal communication module;
step two: the navigation server receives truck operation information, GNSS information, navigation request information and query request information uploaded by the navigation terminal;
step three: when the navigation server receives the navigation request information, generating navigation information containing navigation paths according to the navigation request information, the GNSS information and the opencut road network information, and sending the navigation information to the navigation terminal, and when the navigation server receives the query request information, generating query information by retrieving the contents of the database and sending the query information to the navigation terminal; the navigation server automatically judges the running state and the surrounding running environment of the truck according to the truck running information and GNSS information stored in the database in real time, and when an early warning condition occurs, the truck running early warning module automatically generates early warning information according to an early warning algorithm and sends the early warning information to the navigation terminal; the navigation server generates production information according to the truck running information and the GNSS information in the database at a preset time interval and sends the production information to the navigation terminal;
step four: when the navigation terminal receives the navigation information, the query information, the early warning information and the production information in the third step, the navigation information, the query information, the early warning information and the production information are displayed through the interface display module, and the text information is converted into voice information through the voice output module to be played, wherein the navigation information comprises the conditions of turning ahead, ascending ahead, descending ahead, converging ahead, a distance from a destination, waiting for vehicles at a loading point and waiting for vehicles at an unloading point, and the early warning conditions comprise the conditions of overhigh oil temperature, lifting and fighting for driving, abnormal working conditions of an engine, overspeed, illegal brake treading, uneven ahead road and high ahead traffic flow density.
7. The voice navigation method of the voice navigation system of the open pit truck according to claim 6, characterized in that the early warning algorithm is specifically executed as follows:
the S1 early warning processing module reads the truck running information and the GNSS information in the database at regular time and judges whether an early warning condition occurs in real time; the specific judgment process of the early warning condition is as follows:
judging that the oil temperature is too high when the value of an oil temperature field of the truck is greater than a set oil temperature threshold value;
judging that the speed is too high when the value of the speed field of the truck is larger than a set speed threshold;
thirdly, when the bucket lifting field of the truck is bucket lifting and the speed field is greater than a set speed threshold value, judging that the truck is driven by the bucket lifting;
judging whether the brake is treaded illegally when the brake field of the truck is the brake and the speed field is greater than the set speed threshold value;
matching points formed by the X field and the Y field of the truck to the road section through a road network matching algorithm, and judging that the front road is uneven if the value of the road section field is uneven;
matching X fields and Y fields of all trucks to corresponding road sections through a road network matching algorithm, adding one to the number field value of the truck of a road section if the road section is matched once, and judging that the density of the front traffic flow is high if the number field value of the truck of the road section where the current truck is located is larger than a set threshold value, wherein the road network matching algorithm is that a point formed by the X fields and the Y fields makes a vertical line on a straight line of each road section, and the road section corresponding to the shortest vertical line length value is taken as the matched road section;
when the working condition state field of the engine of the truck is abnormal, judging that the working condition of the engine of the truck is abnormal;
s2, if the early warning condition occurs, the early warning processing module generates early warning information and sends the early warning information to the navigation terminal, and meanwhile, the step S1 is returned to continue to execute judgment;
if no warning situation occurs, the step S3 returns to the step S1 to perform the determination.
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| CN111461568A (en) * | 2020-04-14 | 2020-07-28 | 西安热工研究院有限公司 | Method for evaluating performance of strip mine truck |
| CN113223266A (en) * | 2021-03-23 | 2021-08-06 | 中煤科工集团沈阳研究院有限公司 | Comprehensive online safety monitoring and early warning system and method for strip mine |
| CN115410399A (en) * | 2022-08-09 | 2022-11-29 | 北京科技大学 | Truck parking method and device and electronic equipment |
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