CN115424367A - GPS-based operation state judgment method, device, equipment and readable storage medium - Google Patents
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Abstract
The invention provides a GPS-based working state judgment method, a GPS-based working state judgment device, GPS-based equipment and a readable storage medium, which relate to the technical field of agriculture and comprise the steps of acquiring first data and second data, wherein the first data comprises data of a bicycle and a bicycle tool, and the second data comprises reference data and experience values; integrating the first data and the second data to obtain integrated third data; and judging the operation state according to the DBSCAN method based on the empirical value and the third data. The method has the advantages that the model of the agricultural machine operation state is calculated according to the coordinate density, and the judgment method of the time-space combined density is adopted, so that the track with high reciprocating walking density on the road can be filtered, and the efficiency is improved.
Description
Technical Field
The invention relates to the technical field of agriculture, in particular to a GPS-based working state judgment method, device, equipment and readable storage medium.
Background
With the continuous development of agricultural modernization and the improvement of automation degree, the accurate calculation of the agricultural machinery cultivated land area is more and more important, and the accurate calculation is not separated from the operation acreage of the agricultural machinery no matter whether the government issues subsidies, the expense settlement of agricultural machinery operators, the national agricultural data statistics and the like. At present, the operation acreage of the agricultural machinery is mainly calculated by a manual measuring method and an automatic measuring method by utilizing a sensor, but the two methods have many problems in the actual operation process. The track of reciprocating travel on the road in a short time cannot be distinguished as a transfer track and not as a working track.
Disclosure of Invention
The present invention aims to provide a method, an apparatus, a device and a readable storage medium for judging a working state based on a GPS, so as to improve the problems. In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
in a first aspect, the present application provides a GPS-based job status determination method, including:
acquiring first data and second data, wherein the first data comprises data of a bicycle and a single tool, and the second data comprises reference data and experience values;
integrating the first data and the second data to obtain integrated third data;
and judging the operation state according to a DBSCAN method based on the empirical value and the third data.
Preferably, the integrating the first data and the second data to obtain integrated third data includes:
translating the second data to obtain new first data, and enabling the first data to be adjacent to a preset reference coordinate;
converting the longitude and latitude of the new data into a rectangular coordinate system to obtain a new coordinate;
and integrating the new first data and the new coordinates to obtain integrated third data.
Preferably, the DBSCAN method based on the empirical value and the third data includes:
calculating the kernel density according to a preset space-time combined coordinate based on the empirical value and the third data;
screening out the coordinates with smaller nuclear density as transfer coordinates;
and removing the transfer coordinate according to the DBSCAN method to obtain a removed result.
Preferably, the determining the operation state includes:
calculating the intersection point of the radar lines of each coordinate point in the removed result and the distance between the parallel tracks based on a radar line method to obtain a first result;
removing the coordinates without the intersection point in the empirical value to obtain a second result;
and calculating based on the preset track interval and the preset width according to the first result and the second result to obtain the operation area.
In a second aspect, the present application also provides a GPS-based work state determination device, including:
an acquisition module: the system comprises a data acquisition module, a data acquisition module and a data processing module, wherein the data acquisition module is used for acquiring first data and second data, the first data comprises data of a bicycle and a single tool, and the second data comprises reference data and experience values;
an integration module: the data processing device is used for integrating the first data and the second data to obtain integrated third data;
a judging module: and the system is used for judging the operation state according to the DBSCAN method based on the experience value and the third data.
Preferably, the integration module comprises:
a first acquisition unit: the translation device is used for translating the second data to obtain new first data, and enabling the first data to be adjacent to a preset reference coordinate;
a second acquisition unit: the system is used for converting the longitude and latitude of the new data into a rectangular coordinate system to obtain a new coordinate;
an integration unit: and integrating the new first data and the new coordinates to obtain integrated third data.
Preferably, the determining module includes:
the first calculation unit: the kernel density is calculated based on the empirical value and the third data and according to a preset space-time combined coordinate;
a screening unit: the coordinate with smaller nuclear density is screened out to be used as a transfer coordinate;
a removal unit: and removing the transfer coordinate according to the DBSCAN method to obtain a removed result.
Preferably, the determining module includes:
a third acquisition unit: the method is used for calculating the intersection point of the radar line of each coordinate point in the removed result and the distance between parallel tracks based on a radar line method to obtain a first result;
an obtaining unit: the coordinate system is used for removing the coordinates without the intersection points in the empirical value to obtain a second result;
a second calculation unit: and the calculation module is used for calculating according to the first result and the second result and based on a preset track interval and a preset breadth to obtain an operation area.
In a third aspect, the present application further provides a GPS-based job status determination device, including:
a memory for storing a computer program;
a processor for implementing the steps of the GPS-based job status determination method when executing the computer program.
In a fourth aspect, the present application further provides a readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the above-mentioned GPS-based job status determination method.
The invention has the beneficial effects that: according to the model for calculating the operating state of the agricultural machine by using the coordinate density and the judgment method of time-space combined density, the track with higher density of reciprocating walking on the road can be filtered, and the efficiency is improved.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the embodiments of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a schematic flow chart of a GPS-based operation status determination method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a GPS-based job status determination device according to an embodiment of the present invention.
In the figure, 701 an acquisition module; 702. an integration module; 7021. a first acquisition unit; 7022. a second acquisition unit; 7023. an integration unit; 703. a judgment module; 7031. a first calculation unit; 7032. a screening unit; 7033. a removal unit; 7034. a third acquisition unit; 7035. an obtaining unit; 7036. a second calculation unit; 800. a GPS-based job status determination device; 801. a processor; 802. a memory; 803. a multimedia component; 804. an I/O interface; 805. a communication component.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined or explained in subsequent figures. Meanwhile, in the description of the present invention, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
Example 1:
the embodiment provides a GPS-based job status judgment method.
Referring to fig. 1, it is shown that the method comprises step S100, step S200 and step S300.
S100, acquiring first data and second data, wherein the first data comprise data of a bicycle and a single tool, and the second data comprise reference data and experience values.
It will be appreciated that in this step, it is included to obtain new data to be calculated (data for a single vehicle, single tool day; reference data and empirical values according to the type of job to be calculated).
In the method for calculating the operation acreage of the agricultural machine, the coordinate data and the corresponding time data of the agricultural machine in the time period needing to calculate the operation acreage are obtained in the step (A). Preferably, the coordinate data of the agricultural machine is embodied as longitude data and latitude data. Alternatively, the coordinate data of the agricultural machine may also be implemented as two-dimensional coordinate data. In the following description, the working acreage calculation method according to the present invention will be explained by taking the case where the coordinate data of the agricultural machine is implemented as longitude data and latitude data.
And S200, integrating the first data and the second data to obtain integrated third data.
It is understood that, in this step, the following are included:
translating the second data to obtain new first data, and enabling the first data to be adjacent to a preset reference coordinate;
converting the longitude and latitude of the new data into a rectangular coordinate system to obtain a new coordinate;
and integrating the new first data and the new coordinates to obtain the integrated third data.
Acquiring coordinate data and corresponding time data of an agricultural machine in a time period in which the operation acreage needs to be calculated; cleaning the coordinate data and the time data of the agricultural machine, and removing the coordinate data and the time data which do not belong to the agricultural machine in a normal operation state; carrying out clustering segmentation on the coordinate data and the time data of the cleaned agricultural machinery, distinguishing the data of the agricultural machinery in a normal operation state and a non-operation state, and reserving the coordinate data and the time data of the agricultural machinery in the operation state; and forming a corresponding polygon based on the coordinate data and the time data of the agricultural machine in the operation state, and obtaining the operation acreage of the agricultural machine according to the areas of the polygons.
It should be noted that, the following are included: firstly, the new translation data coordinate is adjacent to the reference coordinate; and secondly, converting the longitude and the latitude into an instructive coordinate system with the unit of meter, wherein the time is converted into seconds which are adjusted from the zero point to the present in 1970, and the maximum and the minimum values in the X direction of the coordinate points are subtracted and then are scaled according to the difference. The scaling value is calculated according to the following formula:
specifically, calculating the kernel density based on the empirical value and the third data and according to a preset space-time joint coordinate;
screening out the coordinates with smaller nuclear density as transfer coordinates;
and removing the transfer coordinate according to the DBSCAN method to obtain a removed result.
It should be noted that, the operation state is judged by using the empirical parameter and the DBSCAN method, and the kernel density is calculated according to the space-time joint coordinate; removing coordinates with smaller nuclear density as transfer coordinates; the nuclear density calculation formula is as follows:
and S300, based on the empirical value and the third data, judging the operation state according to a DBSCAN method.
It is understood that, in this step, the following steps are included:
calculating the intersection point of the radar lines of each coordinate point in the removed result and the parallel track distance based on a radar line method to obtain a first result;
removing the coordinates without the intersection point in the empirical value to obtain a second result;
and calculating based on the preset track interval and the preset width according to the first result and the second result to obtain the operation area.
It should be noted that most of the transfer points are removed; calculating the radar line intersection point and the parallel track distance of each coordinate point by using a radar line method; removing coordinates without intersection points in the empirical value to obtain more accurate operation coordinate points; and calculating the operation area according to the track interval and the width.
According to one embodiment of the invention, the data washing module comprises a repeated data removing unit and an abnormal data removing unit, wherein the repeated data removing unit is communicably connected to the data obtaining module, the repeated data removing unit is used for removing the longitude data and the latitude data of the agricultural machine, and the abnormal data removing unit is used for washing the coordinate data and the time data of the agricultural machine after the removal of the weight data, so as to remove the abnormal data.
According to one embodiment of the invention, the repeated data removing unit sorts the coordinate data of the agricultural machinery according to a time sequence, and only one time point and corresponding longitude data and latitude data are reserved when the same longitude data and latitude data appear at different time points.
According to one embodiment of the invention, the abnormal data removing unit sets a coordinate range of a working area for which the working acreage is to be calculated in advance, and if the coordinate data of the agricultural machinery exceeds the coordinate range, the abnormal data removing unit judges longitude data and latitude data exceeding the coordinate range as abnormal data and removes the abnormal data.
In summary, the present invention adopts a time-space joint density determination method and a time-space joint density determination method for determining the operation status; the method for finely judging the operating state of the agricultural machine by adopting a radar line method can filter out the track with higher reciprocating walking density on the road.
Example 2:
the embodiment provides a GPS-based job status determination apparatus, which includes an acquisition module 701: the system comprises a data acquisition module, a data acquisition module and a data processing module, wherein the data acquisition module is used for acquiring first data and second data, the first data comprises data of a bicycle and a single tool, and the second data comprises reference data and experience values;
the integration module 702: the data processing device is used for integrating the first data and the second data to obtain integrated third data;
a judging module 703: and the system is used for judging the operation state according to the DBSCAN method based on the experience value and the third data.
Specifically, the integration module 702 includes:
first obtaining unit 7021: the translation device is used for translating the second data to obtain new first data, and enabling the first data to be adjacent to a preset reference coordinate;
second obtaining unit 7022: the system is used for converting the longitude and latitude of the new data into a rectangular coordinate system to obtain a new coordinate;
integrating unit 7023: and integrating the new first data and the new coordinates to obtain the integrated third data.
Specifically, the determining module 703 includes:
first calculation unit 7031: the kernel density is calculated based on the empirical value and the third data and according to a preset space-time combined coordinate;
screening unit 7032: the coordinate with smaller nuclear density is screened out to be used as a transfer coordinate;
removal unit 7033: and removing the transfer coordinate according to the DBSCAN method to obtain a removed result.
Specifically, the determining module 703 includes:
third obtaining unit 7034: the method is used for calculating the intersection point of the radar line of each coordinate point in the removed result and the distance between parallel tracks based on a radar line method to obtain a first result;
obtaining unit 7035: the coordinate without the intersection point in the empirical value is removed to obtain a second result;
second calculation unit 7036: and the calculation module is used for calculating according to the first result and the second result and based on a preset track interval and a preset width to obtain the operation area.
It should be noted that, regarding the apparatus in the above embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated herein.
Example 3:
corresponding to the above method embodiment, the present embodiment further provides a GPS-based job status determination device, and a GPS-based job status determination device described below and a GPS-based job status determination method described above may be referred to in correspondence with each other.
Fig. 2 is a block diagram illustrating a GPS-based job status determination device 800 according to an exemplary embodiment. As shown in fig. 2, the GPS-based job status determination device 800 may include: a processor 801, a memory 802. The GPS-based job status determination device 800 may further include one or more of a multimedia component 803, an i/O interface 804, and a communication component 805.
The processor 801 is configured to control the overall operation of the GPS-based job status determination apparatus 800 to complete all or part of the steps of the above-described GPS-based job status determination method. The memory 802 is used to store various types of data to support operation of the GPS-based job status determination device 800, such data may include, for example, instructions for any application or method operating on the GPS-based job status determination device 800, as well as application-related data, such as contact data, messaging, pictures, audio, video, and so forth. The Memory 802 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), electrically Erasable Programmable Read-Only Memory (EEPROM), erasable Programmable Read-Only Memory (EPROM), programmable Read-Only Memory (PROM), read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk or optical disk. The multimedia components 803 may include screen and audio components. Wherein the screen may be, for example, a touch screen and the audio component is used for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may further be stored in the memory 802 or transmitted through the communication component 805. The audio assembly further comprises at least one speaker for outputting audio signals. The I/O interface 804 provides an interface between the processor 801 and other interface modules, such as a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 805 is used for wired or wireless communication between the GPS-based job status determination device 800 and other devices. Wireless communication, such as Wi-Fi, bluetooth, near field communication (NFC for short), 2G, 3G, or 4G, or a combination of one or more of them, so the corresponding communication component 805 may include: wi-Fi module, bluetooth module, NFC module.
In an exemplary embodiment, the GPS-based job status determination Device 800 may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components for performing the above-described GPS-based job status determination method.
In another exemplary embodiment, there is also provided a computer readable storage medium including program instructions which, when executed by a processor, implement the steps of the above-described GPS-based job status determination method. For example, the computer readable storage medium may be the above-described memory 802 including program instructions executable by the processor 801 of the GPS-based job status determination device 800 to perform the above-described GPS-based job status determination method.
Example 4:
corresponding to the above method embodiment, a readable storage medium is also provided in this embodiment, and a readable storage medium described below and a GPS-based operation state determination method described above may be referred to in correspondence with each other.
A readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the GPS-based job status determination method of the above-mentioned method embodiments.
The readable storage medium may be a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and various other readable storage media capable of storing program codes.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily think of the changes or substitutions within the technical scope of the present invention, and shall cover the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A GPS-based operation state judgment method is characterized by comprising the following steps:
acquiring first data and second data, wherein the first data comprises data of a bicycle and a single tool, and the second data comprises reference data and experience values;
integrating the first data and the second data to obtain integrated third data;
and judging the operation state according to a DBSCAN method based on the empirical value and the third data.
2. The GPS-based job status determination method according to claim 1, wherein the integrating the first data and the second data to obtain integrated third data includes:
translating the second data to obtain new first data, and enabling the first data to be adjacent to a preset reference coordinate;
converting the longitude and latitude of the new data into a rectangular coordinate system to obtain a new coordinate;
and integrating the new first data and the new coordinates to obtain integrated third data.
3. The GPS-based working status determination method according to claim 1, wherein the based on the empirical value and the third data, according to a DBSCAN method, includes:
calculating the kernel density according to a preset space-time combined coordinate based on the empirical value and the third data;
screening out the coordinates with smaller nuclear density as transfer coordinates;
and removing the transfer coordinate according to the DBSCAN method to obtain a removed result.
4. The GPS-based job status determination method according to claim 3, wherein the determining the job status includes:
calculating the intersection point of the radar lines of each coordinate point in the removed result and the distance between the parallel tracks based on a radar line method to obtain a first result;
removing the coordinates without the intersection point in the empirical value to obtain a second result;
and calculating based on the preset track interval and the preset width according to the first result and the second result to obtain the operation area.
5. An operation state determination device based on a GPS, comprising:
an acquisition module: the system comprises a data acquisition module, a data acquisition module and a data processing module, wherein the data acquisition module is used for acquiring first data and second data, the first data comprises data of a bicycle and a single tool, and the second data comprises reference data and experience values;
an integration module: the data processing device is used for integrating the first data and the second data to obtain integrated third data;
a judging module: and the system is used for judging the operation state according to the DBSCAN method based on the experience value and the third data.
6. The GPS-based job status determination device according to claim 5, wherein the integration module includes:
a first acquisition unit: the second data are translated to obtain new first data, and the first data are adjacent to preset reference coordinates;
a second acquisition unit: the system is used for converting the longitude and latitude of the new data into a rectangular coordinate system to obtain a new coordinate;
an integration unit: and integrating the new first data and the new coordinates to obtain the integrated third data.
7. The GPS-based work state determination device according to claim 5, wherein the determination module includes:
the first calculation unit: the kernel density is calculated based on the empirical value and the third data and according to a preset space-time combined coordinate;
screening unit: the coordinate with smaller nuclear density is screened out to be used as a transfer coordinate;
a removal unit: and removing the transfer coordinate according to the DBSCAN method to obtain a removed result.
8. The GPS-based job status determination device according to claim 7, wherein the determination module includes:
a third acquisition unit: the method is used for calculating the intersection point of the radar line of each coordinate point in the removed result and the distance between parallel tracks based on a radar line method to obtain a first result;
an obtaining unit: the coordinate system is used for removing the coordinates without the intersection points in the empirical value to obtain a second result;
a second calculation unit: and the calculation module is used for calculating according to the first result and the second result and based on a preset track interval and a preset breadth to obtain an operation area.
9. A GPS-based operation state determination device characterized by comprising:
a memory for storing a computer program;
a processor for implementing the steps of the GPS based job status determination method according to any one of claims 1 to 4 when executing the computer program.
10. A readable storage medium, characterized by: the readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the GPS-based job status determination method according to any one of claims 1 to 4.
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Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0744741A (en) * | 1993-06-29 | 1995-02-14 | Iseki & Co Ltd | Data collection device for agricultural machinery |
| US9418493B1 (en) * | 2015-04-30 | 2016-08-16 | The Boeing Company | Methods and systems for data analytics |
| CN105865485A (en) * | 2016-03-29 | 2016-08-17 | 西北农林科技大学 | GPS-based agricultural machinery working mileage metering method |
| CN109033032A (en) * | 2018-07-06 | 2018-12-18 | 北京兴农丰华科技有限公司 | The method for calculating agricultural machinery effective operation area based on agricultural machinery track and plot gridization |
| CN110033528A (en) * | 2019-04-17 | 2019-07-19 | 洛阳智能农业装备研究院有限公司 | A kind of agricultural machinery working state judging method based on GPS and engine data |
| CN110132215A (en) * | 2019-04-29 | 2019-08-16 | 丰疆智能科技研究院(常州)有限公司 | Agricultural machinery working breadth automatic obtaining method and agricultural machinery working area acquisition methods |
| CN110930541A (en) * | 2019-11-04 | 2020-03-27 | 洛阳中科晶上智能装备科技有限公司 | Method for analyzing working condition state of agricultural machine by using GPS information |
| CN113010567A (en) * | 2021-02-07 | 2021-06-22 | 中电科卫星导航运营服务有限公司 | Agricultural machinery working area calculation method based on BDS/GPS positioning data space-time characteristics |
| WO2021232585A1 (en) * | 2020-05-21 | 2021-11-25 | 平安国际智慧城市科技股份有限公司 | Artificial intelligence-based positioning data processing method and related device |
| CN114662621A (en) * | 2022-05-24 | 2022-06-24 | 灵枭科技(武汉)有限公司 | Agricultural machinery working area calculation method and system based on machine learning |
| WO2022142948A1 (en) * | 2020-12-29 | 2022-07-07 | 深圳市普渡科技有限公司 | Dynamic target tracking and positioning method and apparatus, and device and storage medium |
-
2022
- 2022-08-03 CN CN202210926001.3A patent/CN115424367B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0744741A (en) * | 1993-06-29 | 1995-02-14 | Iseki & Co Ltd | Data collection device for agricultural machinery |
| US9418493B1 (en) * | 2015-04-30 | 2016-08-16 | The Boeing Company | Methods and systems for data analytics |
| CN105865485A (en) * | 2016-03-29 | 2016-08-17 | 西北农林科技大学 | GPS-based agricultural machinery working mileage metering method |
| CN109033032A (en) * | 2018-07-06 | 2018-12-18 | 北京兴农丰华科技有限公司 | The method for calculating agricultural machinery effective operation area based on agricultural machinery track and plot gridization |
| CN110033528A (en) * | 2019-04-17 | 2019-07-19 | 洛阳智能农业装备研究院有限公司 | A kind of agricultural machinery working state judging method based on GPS and engine data |
| CN110132215A (en) * | 2019-04-29 | 2019-08-16 | 丰疆智能科技研究院(常州)有限公司 | Agricultural machinery working breadth automatic obtaining method and agricultural machinery working area acquisition methods |
| CN110930541A (en) * | 2019-11-04 | 2020-03-27 | 洛阳中科晶上智能装备科技有限公司 | Method for analyzing working condition state of agricultural machine by using GPS information |
| WO2021232585A1 (en) * | 2020-05-21 | 2021-11-25 | 平安国际智慧城市科技股份有限公司 | Artificial intelligence-based positioning data processing method and related device |
| WO2022142948A1 (en) * | 2020-12-29 | 2022-07-07 | 深圳市普渡科技有限公司 | Dynamic target tracking and positioning method and apparatus, and device and storage medium |
| CN113010567A (en) * | 2021-02-07 | 2021-06-22 | 中电科卫星导航运营服务有限公司 | Agricultural machinery working area calculation method based on BDS/GPS positioning data space-time characteristics |
| CN114662621A (en) * | 2022-05-24 | 2022-06-24 | 灵枭科技(武汉)有限公司 | Agricultural machinery working area calculation method and system based on machine learning |
Non-Patent Citations (1)
| Title |
|---|
| 刘倩;张海;周艳丽;高婷婷;: "改进的GPS/DR组合导航自适应航向估计算法", 电光与控制, no. 07, 1 July 2010 (2010-07-01) * |
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