CN116839596B - Intelligent tracking and positioning system based on data analysis - Google Patents
Intelligent tracking and positioning system based on data analysis Download PDFInfo
- Publication number
- CN116839596B CN116839596B CN202311121754.8A CN202311121754A CN116839596B CN 116839596 B CN116839596 B CN 116839596B CN 202311121754 A CN202311121754 A CN 202311121754A CN 116839596 B CN116839596 B CN 116839596B
- Authority
- CN
- China
- Prior art keywords
- positioning
- information
- initial position
- preset
- mode
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000007405 data analysis Methods 0.000 title claims abstract description 17
- 238000000034 method Methods 0.000 claims description 57
- 230000002159 abnormal effect Effects 0.000 claims description 21
- 238000012790 confirmation Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000009977 dual effect Effects 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000006073 displacement reaction Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/20—Instruments for performing navigational calculations
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Landscapes
- Engineering & Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Automation & Control Theory (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Radar Systems Or Details Thereof (AREA)
Abstract
The invention discloses an intelligent tracking and positioning system based on data analysis, which comprises a positioning article acquisition module, a positioning mode selection module, an initial position acquisition module, a storage acquisition module, a data processing module and an information sending module; the positioning article acquisition module is used for acquiring positioning article information, the positioning mode selection module is used for processing the positioning article information to select a positioning mode, and the positioning mode comprises a first positioning mode, a second positioning mode and a third positioning mode; the initial position acquisition module is used for acquiring initial position information of the positioned object according to the positioning mode, and the storage acquisition module is used for acquiring storage position information of the positioned object according to the positioning mode information. The invention can more intelligently and comprehensively track and position the articles, better ensure the safety of the articles and effectively prevent the occurrence of the condition of losing the articles.
Description
Technical Field
The invention relates to the field of tracking and positioning, in particular to an intelligent tracking and positioning system based on data analysis.
Background
The article positioning and tracking is originally a means for an enterprise to track the flow direction of the internal articles, and whether the articles are lost or not can be timely known through positioning and tracking the articles, so that the safety of conveying the articles is better ensured;
the tracking and positioning system can better perform object flow direction when the object is used in the object tracking and positioning process, and prompt is timely performed when the object is abnormal in position, so that the object is prevented from being lost.
The existing tracking and positioning system has single tracking and positioning mode, cannot meet the final requirement of increasingly-growing article positioning, has low intelligent degree and brings certain influence to the use of the tracking and positioning system, and therefore, the intelligent tracking and positioning system based on data analysis is provided.
Disclosure of Invention
The technical problems to be solved by the invention are as follows: how to solve the problems that the prior tracking and positioning system has single tracking and positioning mode, cannot meet the final requirement of increasingly-growing article positioning, has lower intelligent degree and brings certain influence to the use of the tracking and positioning system, and provides an intelligent tracking and positioning system based on data analysis.
The invention solves the technical problems through the following technical scheme that the invention comprises a positioning article acquisition module, a positioning mode selection module, an initial position acquisition module, a storage acquisition module, a data processing module and an information sending module;
the positioning article acquisition module is used for acquiring positioning article information, the positioning mode selection module is used for processing the positioning article information to select a positioning mode, and the positioning mode comprises a first positioning mode, a second positioning mode and a third positioning mode;
the initial position acquisition module is used for acquiring initial position information of the positioned object according to the positioning mode, and the storage acquisition module is used for acquiring storage position information of the positioned object according to the positioning mode information;
the data processing module is used for processing the initial position information and the storage position information to acquire initial position warning information and storage position warning information;
the information sending module is used for sending the information to a preset receiving terminal after the initial position warning information and the storage position warning information are generated.
The specific selection process of the first positioning mode, the second positioning mode and the third positioning mode is as follows: extracting collected positioning article information, wherein the positioning article information comprises positioning article volume information and positioning article grade information, the positioning article grade information is uploaded manually, and the positioning article grade information comprises a first grade article grade, a second grade article grade and a third grade article grade;
when the volume information of the positioning object is larger than the preset value volume A1, the positioning object is selected to be in a third positioning mode, and when the grade information of the positioning object is a first grade object, the positioning object is selected to be in a first positioning mode;
when the volume information of the positioning object is between the preset value volumes A1 and A2, the second positioning mode is selected, and when the grade information of the positioning object is a secondary object, the second positioning mode is selected;
when the volume information of the positioning object is smaller than the preset value volume A2, the positioning object is selected to be a first positioning mode, and when the grade information of the positioning object is three-grade object, the positioning object is selected to be a third positioning mode;
and when the item grade information is different from the positioning item volume information, taking the item grade as the acquired positioning mode.
Further, the specific positioning process of the first positioning mode is as follows: setting at least seven positioning devices on the positioned object according to a first preset rule to send positioning information;
the specific positioning process of the second positioning mode is as follows: setting at least five positioning devices on the positioned object according to a second preset rule to send positioning information;
the specific positioning process of the third positioning mode is as follows: and setting at least three positioning devices on the positioned object according to a third preset rule to send positioning information.
Further, the specific contents of the first preset rule, the second preset rule and the third preset rule are as follows:
acquiring image information of a positioned object, processing the image information to acquire plane image information of the positioned object, processing the plane image information of the positioned object to acquire the length of the plane image information, marking the length as K, selecting the geometric center of the plane image information of the positioned object, marking the geometric center as a point a, drawing a circle Kk1 with the point a as a center and with K/2 as a radius, and drawing a rectangle Kk2 circumscribed on the circle Kk1 based on the circle Kk 1;
marking corners of a rectangle Kk2 as points b1, b2, b3 and b4, then collecting the positioned object plane image information, and selecting points bb1, bb2, bb3 and bb4 closest to the points b1, b2, b3 and b4 on the positioned object plane image information;
a first preset rule: positioning equipment is arranged at each of bb1, bb2, bb3 and bb4 and point a, then two points are randomly selected on the positioned object, and one positioning equipment is arranged at each point;
a second preset rule: randomly selecting three points from bb1, bb2, bb3 and bb4, respectively placing a positioning device, arranging a positioning device at the position of a point a, randomly selecting a point on a positioned object, and arranging a positioning device;
third preset rule: one point is randomly selected from the points bb1, bb2, bb3 and bb4 to be placed with one positioning device, one positioning device is arranged at the position of the point a, one point is randomly selected on the positioned object, and one positioning device is arranged.
The method is characterized in that the specific process of the initial position acquisition module for acquiring the initial position information of the positioned object according to the positioning mode and the storage acquisition module for acquiring the storage position information of the positioned object according to the positioning mode information is as follows: the initial position acquisition module and the storage acquisition module acquire position information according to a first positioning rule in a first positioning mode;
the initial position acquisition module and the storage acquisition module acquire position information according to a second positioning rule in a second positioning mode;
and the initial position acquisition module and the storage acquisition module acquire position information according to a third positioning rule in a third positioning mode.
Further, the specific contents of the first positioning rule, the second positioning rule and the third positioning rule are as follows:
first positioning rule: the method comprises the steps of randomly collecting real-time positioning information sent by five positioning devices of seven positioning devices, collecting positioning information of the remaining two positioning devices after a preset time length, and collecting interval information among the positioning devices;
and a second positioning rule: the method comprises the steps of randomly collecting real-time positioning information sent by three positioning devices of five positioning devices, collecting positioning information of the remaining two positioning devices after a preset time length, and collecting interval information among the positioning devices;
third positioning rule: and randomly acquiring real-time positioning information sent by the two positioning devices, acquiring positioning information of the remaining one positioning device after the preset time length, and simultaneously acquiring interval information between the positioning devices.
Further, the specific processing procedure of the initial position warning information is as follows:
in the first positioning mode: extracting collected random selected positioning information, comparing the five pieces of random selected positioning information with preset standard initial position information, and generating initial position warning information when the deviation between any one of the five pieces of random selected positioning information and the preset standard initial position information is larger than a preset value;
when the deviation between the five pieces of randomly selected positioning information and the preset standard initial position information is smaller than a preset value, extracting the remaining two pieces of positioning information to compare the remaining two pieces of positioning information with the preset standard initial position information, and when the deviation between any one of the remaining two pieces of positioning information and the preset standard initial position information is larger than the preset value, generating initial position warning information;
the generation process of the initial position warning information in the second positioning mode is basically the same as that in the first positioning mode, and the difference is that the number of the positioning information selected at random is three;
the generation process of the initial position warning information in the third positioning mode is basically the same as that in the first positioning mode, and the difference is that the number of the positioning information selected randomly is two, and the number of the rest positioning information is one.
The specific process of comparing the positioning information with the preset standard initial position information is as follows: the method comprises the steps of extracting and obtaining standard initial position information, taking the standard initial position as an origin, establishing a plane rectangular coordinate system M, then importing randomly selected positioning information into the plane rectangular coordinate system M, obtaining coordinate information of the randomly selected positioning information, marking the coordinate information as Qi (xi, yi), wherein i is the number of the randomly selected positioning information, and then calculating a difference value between the Qi (xi, yi) and the origin, namely obtaining the deviation between the randomly selected positioning information and preset standard initial position information.
Further, the processing procedure of the storage position warning information is basically different from the processing procedure of the initial position warning information in that the standard position used in the processing procedure of the storage position warning information is preset standard storage position information;
when the positioned object is transported to the storage position, the interval information between the positioning devices is analyzed, and when the interval information between the positioning devices is abnormal, the storage position warning information is also generated.
Further, the determination process when the interval information between the positioning devices is abnormal is as follows:
first positioning mode: the distance between any two positioning devices exceeds the preset distance between the positioning devices, namely the distance information is abnormal, and storage position warning information is generated;
second positioning mode: the distance between any three positioning devices exceeds the preset distance between the positioning devices, namely the distance information is abnormal, and storage position warning information is generated;
third positioning mode: and the distance between all positioning devices exceeds the preset distance between the positioning devices, namely the distance information is abnormal, and storage position warning information is generated.
Compared with the prior art, the invention has the following advantages: this intelligent tracking positioning system based on data analysis, through the location mode selection module of setting, can carry out the selection of location mode according to the user setting or carry out the selection of location mode according to the size state of location article, the different location demands of user have been satisfied, the article under the not manual setting location mode is smaller just carry out finer location setting to it, can effectually prevent that small article from losing the situation emergence of location tracking difficulty, realize more accurate location tracking of article, and the location information of different time periods in having set up two sets of short time sends, dual position confirmation has been realized, can more accurate location, two times location are unusual in the short time, indicate that its position exists unusually, let the user can be in time obtain the suggestion information when being located article position is unusual, realize more accurate comprehensive tracking location, let this system be worth more popularizing and using.
Drawings
FIG. 1 is a system block diagram of the present invention;
FIG. 2 is a schematic diagram of an anchor point determination of the present invention;
fig. 3 is a schematic diagram of the establishment of the plane rectangular coordinate system M of the present invention.
Detailed Description
The following describes in detail the examples of the present invention, which are implemented on the premise of the technical solution of the present invention, and detailed embodiments and specific operation procedures are given, but the scope of protection of the present invention is not limited to the following examples.
As shown in fig. 1 to 3, the present embodiment provides a technical solution: an intelligent tracking and positioning system based on data analysis comprises a positioning object acquisition module, a positioning mode selection module, an initial position acquisition module, a storage acquisition module, a data processing module and an information sending module;
the positioning article acquisition module is used for acquiring positioning article information, the positioning mode selection module is used for processing the positioning article information to select a positioning mode, and the positioning mode comprises a first positioning mode, a second positioning mode and a third positioning mode;
the initial position acquisition module is used for acquiring initial position information of the positioned object according to the positioning mode, and the storage acquisition module is used for acquiring storage position information of the positioned object according to the positioning mode information;
the data processing module is used for processing the initial position information and the storage position information to acquire initial position warning information and storage position warning information;
the information sending module is used for sending the initial position warning information and the storage position warning information to a preset receiving terminal after the initial position warning information and the storage position warning information are generated;
according to the invention, through the set positioning mode selection module, the positioning mode can be selected according to the setting of a user or the size state of a positioning object, the intelligent positioning mode selection is realized, different positioning requirements of the user are met, the object in the positioning mode is smaller without manual setting, namely finer positioning setting is carried out on the object, the situation that the positioning and tracking of the small object are difficult to lose can be effectively prevented, more accurate positioning and tracking of the object are realized, and positioning information in different time periods within two short periods is set, dual position confirmation is realized, more accurate positioning is realized, any abnormality is positioned twice within the short period, namely, the position of the object is abnormal, so that the user can timely acquire prompt information when the position of the positioned object is abnormal, and more accurate and comprehensive tracking and positioning are realized.
The specific selection process of the first positioning mode, the second positioning mode and the third positioning mode is as follows: extracting collected positioning article information, wherein the positioning article information comprises positioning article volume information and positioning article grade information, the positioning article grade information is uploaded manually, and the positioning article grade information comprises a first grade article grade, a second grade article grade and a third grade article grade;
when the volume information of the positioning object is larger than the preset value volume A1, the positioning object is selected to be in a third positioning mode, and when the grade information of the positioning object is a first grade object, the positioning object is selected to be in a first positioning mode;
when the volume information of the positioning object is between the preset value volumes A1 and A2, the second positioning mode is selected, and when the grade information of the positioning object is a secondary object, the second positioning mode is selected;
when the volume information of the positioning object is smaller than the preset value volume A2, the positioning object is selected to be a first positioning mode, and when the grade information of the positioning object is three-grade object, the positioning object is selected to be a third positioning mode;
when the article grade information is different from the positioning article volume information, taking the article grade as the acquired positioning mode;
through the process, when the user manually rates the positioned object, the user is set to be in charge, and when the user does not manually set, namely, the positioning mode of the positioning system is intelligently set according to the size of the positioned object, so that different positioning requirements of the user are met, and the positioning system is more intelligent.
The specific positioning process of the first positioning mode is as follows: setting at least seven positioning devices on the positioned object according to a first preset rule to send positioning information;
the specific positioning process of the second positioning mode is as follows: setting at least five positioning devices on the positioned object according to a second preset rule to send positioning information;
the specific positioning process of the third positioning mode is as follows: setting at least three positioning devices on the positioned object according to a third preset rule to send positioning information;
through the process, the first positioning mode is set to indicate that the object is smaller or more important, fine positioning is needed to be carried out to improve positioning tracking accuracy, so that more positioning devices are needed to be arranged on the positioned object, the second positioning mode is set to indicate that the object is of a general importance degree or a moderate importance degree, a corresponding number of positioning devices are arranged to carry out detailed positioning tracking on the object, the third positioning mode is set to indicate that the object is of a larger size or a lower importance degree, and too accurate positioning is not needed, therefore, positioning device resources are better intensively applied by the setting, the object with high importance can be positioned more accurately, and excessive consumption of the positioning devices when the object with low importance is subjected to unnecessary fine positioning is also reduced.
The specific contents of the first preset rule, the second preset rule and the third preset rule are as follows:
acquiring image information of a positioned object, processing the image information to acquire plane image information of the positioned object, processing the plane image information of the positioned object to acquire the length of the plane image information, marking the length as K, selecting the geometric center of the plane image information of the positioned object, marking the geometric center as a point a, drawing a circle Kk1 with the point a as a center and with K/2 as a radius, and drawing a rectangle Kk2 circumscribed on the circle Kk1 based on the circle Kk 1;
marking corners of a rectangle Kk2 as points b1, b2, b3 and b4, then collecting the positioned object plane image information, and selecting points bb1, bb2, bb3 and bb4 closest to the points b1, b2, b3 and b4 on the positioned object plane image information;
a first preset rule: positioning equipment is arranged at each of bb1, bb2, bb3 and bb4 and point a, then two points are randomly selected on the positioned object, and one positioning equipment is arranged at each point;
a second preset rule: randomly selecting three points from bb1, bb2, bb3 and bb4, respectively placing a positioning device, arranging a positioning device at the position of a point a, randomly selecting a point on a positioned object, and arranging a positioning device;
third preset rule: randomly selecting a point from the points bb1, bb2, bb3 and bb4, placing a positioning device, arranging a positioning device at the position of the point a, randomly selecting a point on the positioned object, and arranging a positioning device;
through the process, the position of the positioning equipment can be better selected, and the situation that the positioned equipment is damaged and cannot be positioned due to the impact of the positioned articles in the transportation process caused by the centralized equipment setting of the positioning equipment or the positioned articles are stolen by illegal personnel removing all the positioning equipment once is avoided.
The specific process of the initial position acquisition module for acquiring the initial position information of the positioned object according to the positioning mode and the storage acquisition module for acquiring the storage position information of the positioned object according to the positioning mode information is as follows: the initial position acquisition module and the storage acquisition module acquire position information according to a first positioning rule in a first positioning mode;
the initial position acquisition module and the storage acquisition module acquire position information according to a second positioning rule in a second positioning mode;
and the initial position acquisition module and the storage acquisition module acquire position information according to a third positioning rule in a third positioning mode.
The specific contents of the first positioning rule, the second positioning rule and the third positioning rule are as follows:
first positioning rule: the method comprises the steps of randomly collecting real-time positioning information sent by five positioning devices of seven positioning devices, collecting positioning information of the remaining two positioning devices after a preset time length, and collecting interval information among the positioning devices;
and a second positioning rule: the method comprises the steps of randomly collecting real-time positioning information sent by three positioning devices of five positioning devices, collecting positioning information of the remaining two positioning devices after a preset time length, and collecting interval information among the positioning devices;
third positioning rule: the method comprises the steps of randomly collecting real-time positioning information sent by two positioning devices, collecting positioning information of the remaining one positioning device after a preset time length, and collecting interval information among the positioning devices;
through the process, repeated positioning information acquisition in short time is performed, the situation that the positioned object cannot be found in time after the positioning information is sent can be timely found, and more accurate and higher reliability tracking and positioning are realized.
The specific processing process of the initial position warning information is as follows:
in the first positioning mode: extracting collected random selected positioning information, comparing the five pieces of random selected positioning information with preset standard initial position information, and generating initial position warning information when the deviation between any one of the five pieces of random selected positioning information and the preset standard initial position information is larger than a preset value;
when the deviation between the five pieces of randomly selected positioning information and the preset standard initial position information is smaller than a preset value, extracting the remaining two pieces of positioning information to compare the remaining two pieces of positioning information with the preset standard initial position information, and when the deviation between any one of the remaining two pieces of positioning information and the preset standard initial position information is larger than the preset value, generating initial position warning information;
the generation process of the initial position warning information in the second positioning mode is basically the same as that in the first positioning mode, and the difference is that the number of the positioning information selected at random is three;
the generation process of the initial position warning information in the third positioning mode is basically the same as that of the first positioning mode, and the difference is that the number of the positioning information selected randomly is two, and the number of the rest positioning information is one;
through the process, when the initial storage position of the positioned object is abnormal, a warning can be timely sent out to prompt a manager that the position of the positioned object is abnormal, and the positioned object needs to be reset.
The specific process of comparing the positioning information with the preset standard initial position information is as follows: extracting and acquiring standard initial position information, taking the standard initial position as an origin, establishing a plane rectangular coordinate system M, then importing randomly selected positioning information into the plane rectangular coordinate system M, acquiring coordinate information of the randomly selected positioning information, marking the coordinate information as Qi (xi, yi) which is the number of the randomly selected positioning information, and then calculating a difference value between the Qi (xi, yi) and the origin, namely acquiring a deviation between the randomly selected positioning information and preset standard initial position information;
the above process can more accurately compare the positioning information with the preset standard initial position information, so as to more accurately judge whether the positioned object is abnormally displaced, as shown in fig. 3, the plane rectangular coordinate system M is established in the standard initial position information, the standard initial position information is the standard storage position of the positioning information, and when the coordinates of the randomly selected positioning information and the standard storage position of the positioning information deviate, the displacement is indicated.
The processing process of the storage position warning information is basically different from the processing process of the initial position warning information in that the standard position used in the processing process of the storage position warning information is preset standard storage position information;
when the positioned object is transported to the storage position, the interval information between the positioning devices is analyzed, and when the interval information between the positioning devices is abnormal, the storage position warning information is also generated.
The determination process when the interval information among the positioning devices is abnormal is as follows:
first positioning mode: the distance between any two positioning devices exceeds the preset distance between the positioning devices, namely the distance information is abnormal, and storage position warning information is generated;
second positioning mode: the distance between any three positioning devices exceeds the preset distance between the positioning devices, namely the distance information is abnormal, and storage position warning information is generated;
third positioning mode: the distance between all positioning devices exceeds the preset distance between the positioning devices, namely the distance information is abnormal, and storage position warning information is generated;
the analysis of the space between the positioning devices can know whether the positioning devices on the positioned object are abnormally removed or not, when the positioning devices are abnormally removed or not, the position confirmation is needed even if the position of the positioned object is not abnormal, different judgment standards are set in a non-use mode, different positioning tracking requirements are met, and more intelligent positioning tracking is realized.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present invention, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
While embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the invention.
Claims (9)
1. The intelligent tracking and positioning system based on data analysis is characterized by comprising a positioning article acquisition module, a positioning mode selection module, an initial position acquisition module, a storage acquisition module, a data processing module and an information sending module;
the positioning article acquisition module is used for acquiring positioning article information, the positioning mode selection module is used for processing the positioning article information to select a positioning mode, and the positioning mode comprises a first positioning mode, a second positioning mode and a third positioning mode;
the initial position acquisition module is used for acquiring initial position information of the positioned object according to the positioning mode, and the storage acquisition module is used for acquiring storage position information of the positioned object according to the positioning mode information;
the data processing module is used for processing the initial position information and the storage position information to acquire initial position warning information and storage position warning information;
the information sending module is used for sending the initial position warning information and the storage position warning information to a preset receiving terminal after the initial position warning information and the storage position warning information are generated;
the specific selection process of the first positioning mode, the second positioning mode and the third positioning mode is as follows: extracting collected positioning article information, wherein the positioning article information comprises positioning article volume information and positioning article grade information, the positioning article grade information is uploaded manually, and the positioning article grade information comprises a first grade article grade, a second grade article grade and a third grade article grade;
when the volume information of the positioning object is larger than the preset value volume A1, selecting a third positioning mode, and when the grade information of the positioning object is a first grade object, selecting a first positioning mode;
selecting a second positioning mode when the volume information of the positioning object is between the preset value volumes A1 and A2, and selecting the second positioning mode when the grade information of the positioning object is a secondary object;
when the volume information of the positioning object is smaller than the preset value volume A2, a first positioning mode is selected, and when the grade information of the positioning object is a three-grade object, a third positioning mode is selected;
and when the item grade information is different from the positioning item volume information, the positioning mode obtained by the item grade is determined to be the right.
2. An intelligent tracking and locating system based on data analysis as claimed in claim 1, wherein: the specific positioning process of the first positioning mode is as follows: setting at least seven positioning devices on the positioned object according to a first preset rule to send positioning information;
the specific positioning process of the second positioning mode is as follows: setting at least five positioning devices on the positioned object according to a second preset rule to send positioning information;
the specific positioning process of the third positioning mode is as follows: and setting at least three positioning devices on the positioned object according to a third preset rule to send positioning information.
3. An intelligent tracking and locating system based on data analysis as claimed in claim 2, wherein: the specific contents of the first preset rule, the second preset rule and the third preset rule are as follows:
acquiring image information of a positioned object, processing the image information to acquire plane image information of the positioned object, processing the plane image information of the positioned object to acquire the length of the plane image information, marking the length as K, selecting the geometric center of the plane image information of the positioned object, marking the geometric center as a point a, drawing a circle Kk1 with the point a as a center and with K/2 as a radius, and drawing a rectangle Kk2 circumscribed on the circle Kk1 based on the circle Kk 1;
marking corners of a rectangle Kk2 as points b1, b2, b3 and b4, then collecting the positioned object plane image information, and selecting points bb1, bb2, bb3 and bb4 closest to the points b1, b2, b3 and b4 on the positioned object plane image information;
a first preset rule: positioning equipment is arranged at each of bb1, bb2, bb3 and bb4 and point a, then two points are randomly selected on the positioned object, and one positioning equipment is arranged at each point;
a second preset rule: randomly selecting three points from bb1, bb2, bb3 and bb4, respectively placing a positioning device, arranging a positioning device at the position of a point a, randomly selecting a point on a positioned object, and arranging a positioning device;
third preset rule: one point is randomly selected from the points bb1, bb2, bb3 and bb4 to be placed with one positioning device, one positioning device is arranged at the position of the point a, one point is randomly selected on the positioned object, and one positioning device is arranged.
4. An intelligent tracking and locating system based on data analysis as claimed in claim 1, wherein: the specific process of the initial position acquisition module for acquiring the initial position information of the positioned object according to the positioning mode and the storage acquisition module for acquiring the storage position information of the positioned object according to the positioning mode information is as follows: the initial position acquisition module and the storage acquisition module acquire position information according to a first positioning rule in a first positioning mode;
the initial position acquisition module and the storage acquisition module acquire position information according to a second positioning rule in a second positioning mode;
and the initial position acquisition module and the storage acquisition module acquire position information according to a third positioning rule in a third positioning mode.
5. The intelligent tracking and locating system based on data analysis of claim 4, wherein: the specific contents of the first positioning rule, the second positioning rule and the third positioning rule are as follows:
first positioning rule: the method comprises the steps of randomly collecting real-time positioning information sent by five positioning devices of seven positioning devices, collecting positioning information of the remaining two positioning devices after a preset time length, and collecting interval information among the positioning devices;
and a second positioning rule: the method comprises the steps of randomly collecting real-time positioning information sent by three positioning devices in the five positioning devices, collecting positioning information of the remaining two positioning devices after a preset time length, and collecting interval information among the positioning devices;
third positioning rule: and randomly acquiring real-time positioning information sent by two positioning devices in the three positioning devices, acquiring positioning information of the remaining one positioning device after a preset time length, and simultaneously acquiring interval information between the positioning devices.
6. The intelligent tracking and locating system based on data analysis of claim 5, wherein: the specific processing process of the initial position warning information is as follows:
in the first positioning mode: extracting collected random selected positioning information, comparing the five pieces of random selected positioning information with preset standard initial position information, and generating initial position warning information when the deviation between any one of the five pieces of random selected positioning information and the preset standard initial position information is larger than a preset value;
when the deviation between the five pieces of randomly selected positioning information and the preset standard initial position information is smaller than a preset value, extracting the remaining two pieces of positioning information to compare the remaining two pieces of positioning information with the preset standard initial position information, and when the deviation between any one of the remaining two pieces of positioning information and the preset standard initial position information is larger than the preset value, generating initial position warning information;
generating initial position warning information in a second positioning mode: comparing the three pieces of randomly selected positioning information with preset standard initial position information, and generating initial position warning information when the deviation between any one of the three pieces of randomly selected positioning information and the preset standard initial position information is larger than a preset value;
when the deviation between the three pieces of randomly selected positioning information and the preset standard initial position information is smaller than a preset value, extracting the remaining piece of positioning information to compare the remaining piece of positioning information with the preset standard initial position information, and when the deviation between the remaining piece of positioning information and the preset standard initial position information is larger than the preset value, generating initial position warning information;
the generation process of the initial position warning information in the third positioning mode is as follows: comparing the two pieces of randomly selected positioning information with preset standard initial position information, and generating initial position warning information when the deviation between any one of the two pieces of randomly selected positioning information and the preset standard initial position information is larger than a preset value;
when the deviation between the two pieces of randomly selected positioning information and the preset standard initial position information is smaller than a preset value, the remaining piece of positioning information is extracted and compared with the preset standard initial position information, and when the deviation between the remaining piece of positioning information and the preset standard initial position information is larger than the preset value, initial position warning information is generated.
7. The intelligent tracking and locating system based on data analysis of claim 6, wherein: the specific process of comparing the positioning information with the preset standard initial position information is as follows: the method comprises the steps of extracting and obtaining standard initial position information, taking the standard initial position as an origin, establishing a plane rectangular coordinate system M, then importing randomly selected positioning information into the plane rectangular coordinate system M, obtaining coordinate information of the randomly selected positioning information, marking the coordinate information as Qi (xi, yi), wherein i is the number of the randomly selected positioning information, and then calculating a difference value between the Qi (xi, yi) and the origin, namely obtaining the deviation between the randomly selected positioning information and preset standard initial position information.
8. The intelligent tracking and locating system based on data analysis of claim 7, wherein: the processing process of the storage position warning information is basically the same as the processing process of the initial position warning information, and the difference is that the standard position used in the processing process of the storage position warning information is preset standard storage position information;
when the positioned object is transported to the storage position, the interval information between the positioning devices is analyzed, and when the interval information between the positioning devices is abnormal, the storage position warning information is also generated.
9. The intelligent tracking and locating system based on data analysis of claim 8, wherein: the determination process when the interval information among the positioning devices is abnormal is as follows:
first positioning mode: the distance between any two positioning devices exceeds the preset distance between the positioning devices, namely the distance information is abnormal, and storage position warning information is generated;
second positioning mode: the distance between any three positioning devices exceeds the preset distance between the positioning devices, namely the distance information is abnormal, and storage position warning information is generated;
third positioning mode: and the distance between all positioning devices exceeds the preset distance between the positioning devices, namely the distance information is abnormal, and storage position warning information is generated.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202311121754.8A CN116839596B (en) | 2023-09-01 | 2023-09-01 | Intelligent tracking and positioning system based on data analysis |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202311121754.8A CN116839596B (en) | 2023-09-01 | 2023-09-01 | Intelligent tracking and positioning system based on data analysis |
Publications (2)
Publication Number | Publication Date |
---|---|
CN116839596A CN116839596A (en) | 2023-10-03 |
CN116839596B true CN116839596B (en) | 2023-11-14 |
Family
ID=88174732
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202311121754.8A Active CN116839596B (en) | 2023-09-01 | 2023-09-01 | Intelligent tracking and positioning system based on data analysis |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN116839596B (en) |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20130046659A (en) * | 2011-10-28 | 2013-05-08 | 엘에스산전 주식회사 | A method for tracking position and a position tracking system |
CN103973915A (en) * | 2013-01-31 | 2014-08-06 | 中国电信股份有限公司 | Mobile terminal tracking and positioning method and system and monitoring service management platform |
JP2015152319A (en) * | 2014-02-10 | 2015-08-24 | 株式会社デンソー | Object identification method and object identification device |
CN107633374A (en) * | 2017-09-07 | 2018-01-26 | 安徽共生物流科技有限公司 | It is a kind of can self-teaching vehicle in way station acquisition density intelligence adaptive method |
CN109151994A (en) * | 2018-08-14 | 2019-01-04 | 珠海格力电器股份有限公司 | Indoor positioning method and equipment |
CN110490046A (en) * | 2019-06-26 | 2019-11-22 | 赣州爱我佳乡文化传媒有限公司 | Article location tracking method and system |
CN112461232A (en) * | 2020-11-21 | 2021-03-09 | 中北大学 | Magnetic field and inertia combined indoor positioning and motion tracking system and implementation method thereof |
CN116390020A (en) * | 2023-02-20 | 2023-07-04 | 上海移远通信技术股份有限公司 | Asset positioning and tracking device, asset positioning and tracking system and asset positioning and tracking method |
Family Cites Families (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE602006006581D1 (en) * | 2006-11-07 | 2009-06-10 | Brainlab Ag | Method and system for setting the calibration parameters of a range of interest of tracking systems |
CN111879305B (en) * | 2020-06-16 | 2022-03-18 | 华中科技大学 | Multi-mode perception positioning model and system for high-risk production environment |
EP4348540A1 (en) * | 2021-06-02 | 2024-04-10 | Lineage Logistics, LLC | Determining locations at which to store items in a storage facility |
-
2023
- 2023-09-01 CN CN202311121754.8A patent/CN116839596B/en active Active
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20130046659A (en) * | 2011-10-28 | 2013-05-08 | 엘에스산전 주식회사 | A method for tracking position and a position tracking system |
CN103973915A (en) * | 2013-01-31 | 2014-08-06 | 中国电信股份有限公司 | Mobile terminal tracking and positioning method and system and monitoring service management platform |
JP2015152319A (en) * | 2014-02-10 | 2015-08-24 | 株式会社デンソー | Object identification method and object identification device |
CN107633374A (en) * | 2017-09-07 | 2018-01-26 | 安徽共生物流科技有限公司 | It is a kind of can self-teaching vehicle in way station acquisition density intelligence adaptive method |
CN109151994A (en) * | 2018-08-14 | 2019-01-04 | 珠海格力电器股份有限公司 | Indoor positioning method and equipment |
CN110490046A (en) * | 2019-06-26 | 2019-11-22 | 赣州爱我佳乡文化传媒有限公司 | Article location tracking method and system |
CN112461232A (en) * | 2020-11-21 | 2021-03-09 | 中北大学 | Magnetic field and inertia combined indoor positioning and motion tracking system and implementation method thereof |
CN116390020A (en) * | 2023-02-20 | 2023-07-04 | 上海移远通信技术股份有限公司 | Asset positioning and tracking device, asset positioning and tracking system and asset positioning and tracking method |
Non-Patent Citations (4)
Title |
---|
Hiroyuki Torii ; Shinsuke Ibi ; Seiichi Sampei.Indoor Positioning and Tracking by Multi-Point Observations of BLE Beacon Signal.2018 15th Workshop on Positioning, Navigation and Communications.2018,全文. * |
基于MSP430车辆定位系统的设计;汪正进;朱代先;常坤;史恩;李斯;;无线互联科技(02);全文 * |
基于RFID的货物实时追踪系统;罗忠亮;徐志鹏;李锦欢;朱定华;;电子设计工程;24(16);全文 * |
融合节点群遍历访问仿真算法的智慧云物流控制与管理;李茂平;贵阳学院学报(自然科学版);第16卷(第2期);全文 * |
Also Published As
Publication number | Publication date |
---|---|
CN116839596A (en) | 2023-10-03 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN112348791B (en) | Intelligent scrap steel detecting and judging method, system, medium and terminal based on machine vision | |
CN103607463B (en) | Location data-storage system and storage method | |
CN111037269B (en) | Locking device and control device based on machine vision | |
CN110705940B (en) | Medicine logistics tracing and checking method based on block chain | |
CN106022296A (en) | Fake plate vehicle detection method based on vehicle hot spot area probability aggregation | |
CN104572391A (en) | Monitoring alarm strategy collocation method and device and monitoring alarm method and device | |
CA2487028A1 (en) | System and method for facilitating information collection, storage, and distribution | |
CN108171817A (en) | Method for inspecting based on MR or AR, MR or AR equipment and cruising inspection system | |
CN108345865A (en) | A kind of monitoring method, device and the user terminal of involved party's abnormal behaviour | |
US10957128B2 (en) | Vehicle inspection system and method for evaluating vehicle inspection and service information | |
CN116839596B (en) | Intelligent tracking and positioning system based on data analysis | |
CN105118108B (en) | Long-distance oil and gas pipeline inspection method and system | |
CN109784804A (en) | A kind of coal mine shipping management method, device and storage medium | |
CN110418407A (en) | Exception luggage bluetooth localization method neural network based and its system | |
CN109583798A (en) | Warehouse stock counting verification of data method and store method | |
CN102467770B (en) | Method, device and system for recharging by using voucher card | |
CN110967668A (en) | A construction site asset management system based on uwb positioning | |
CN107194265A (en) | A kind of device of the warehouse compartment supervision based on block chain image processing techniques | |
CN112801466B (en) | Method and system for early warning illegal operation of oil discharge operation of gas station | |
CN116931487B (en) | Data acquisition monitoring system applied to military enterprises | |
CN110120160A (en) | A kind of berth number the method for determination, processor and stopping charging system | |
CN205594876U (en) | Road vehicle identification system that overload to break law that transfinites | |
CN110750589B (en) | Data analysis method and device and computer storage medium | |
CN115731499A (en) | Method and device for determining platform information, electronic equipment and storage medium | |
CN115171236A (en) | Inspection management method, inspection management platform and inspection management client |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |