CN116193574B - 5g network-based observation information fusion positioning key technical method and system - Google Patents
5g network-based observation information fusion positioning key technical method and system Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
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- 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
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- 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
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Abstract
The application discloses an observation information fusion positioning key technical method based on a 5g network, which comprises the following steps: the method comprises the steps of collecting position data of various networking devices through an operation data collecting module, and sending the collected data to a monitoring center; connecting the monitoring center with a block chain module, and reserving the relative position and the absolute position among the intelligent devices; the block chain module is connected with the AI module, and the relative position, the absolute position and the equipment information of the block chain are learned and analyzed through a neural network algorithm, and the relative position and the absolute position after the algorithm optimization are calculated; and the alarm notification management module performs notification or alarm operation on related personnel through the relative position, the absolute position, the equipment information and the like after the optimization of the algorithm. The defect of independent positioning is avoided, the non-falsifiability of positioning data each time is ensured, the safety and confidentiality of information transmission are ensured, and positioning is automatically or manually corrected according to manual feedback and an AI algorithm so as to achieve the positioning as accurately as possible.
Description
Technical Field
The application relates to the technical field of communication network positioning, in particular to a 5g network-based observation information fusion positioning key technical method and system.
Background
With the entering of the information age, the requirement for accurate positioning is also growing, satellite signals cannot penetrate through a building, indoor positioning needs other technical assistance, and the traditional indoor positioning technology is subject to coverage, precision, energy consumption, cost and other factors. The 3G network and the 4G network are mainly passive systems and do not have indoor positioning capability. But the 5G network has the advantages of larger bandwidth and subcarrier spacing, so that the 5G indoor positioning accuracy is improved, but the 5G base station has short transmission distance, poor penetrability and easy shielding.
Therefore, the positioning technology of the 5G network shows great demands, and various related positioning technologies emerge at this time. A technical method for realizing data information transmission and ensuring information transmission safety and confidentiality is particularly important.
Disclosure of Invention
This section is intended to outline some aspects of embodiments of the application and to briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section as well as in the description of the application and in the title of the application, which may not be used to limit the scope of the application.
The present application has been made in view of the above-described problems.
Therefore, the technical problems solved by the application are as follows: the existing communication network positioning method has the problems of low accuracy, poor confidentiality and more accurate positioning optimization.
In order to solve the technical problems, the application provides the following technical scheme: an observation information fusion positioning key technical method based on a 5g network comprises the following steps:
the method comprises the steps of collecting position data of various networking devices through an operation data collecting module, and sending the collected data to a monitoring center;
connecting the monitoring center with a block chain module, and reserving the relative position and the absolute position among the intelligent devices;
the block chain module is connected with the AI module, and the relative position, the absolute position and the equipment information of the block chain are learned and analyzed through a neural network algorithm, and the relative position and the absolute position after the algorithm optimization are calculated;
and the alarm notification management module performs notification or alarm operation on related personnel through the relative position, the absolute position, the equipment information and the like after the optimization of the algorithm.
The 5g network-based observation information fusion positioning key technical method is characterized by comprising the following steps of: the operation data acquisition module comprises: and the 5g network is used as a main network, the other networks are used as auxiliary networks, and the collected data is sent to a monitoring center.
The 5g network-based observation information fusion positioning key technical method is characterized by comprising the following steps of: the monitoring center includes: the display and monitoring system for data collection displays data from different terminal devices, sub-positioning facilities and sub-areas, and simultaneously gives an alarm when abnormal data is found;
judging whether the recalculated positioning information is reasonable or not when observing the position information of the equipment;
if the recalculated positioning information is not matched with the actual road condition, the equipment is regarded as equipment positioning error, an alarm is sent out, and the preset contact person of the equipment is verified;
if the recalculated positioning information is matched with the actual road condition, the vehicle is considered to normally move, and a route record is generated;
when the static equipment is observed, determining whether the positioning information calculated by the system is correct or not by utilizing signal association with other equipment;
if the association position relation is met, determining positioning information; if the association is not met, verification is sent out to the equipment.
The 5g network-based observation information fusion positioning key technical method is characterized by comprising the following steps of: the blockchain module collects data from the monitoring center into a chain and provides the AI module with a subsequent optimized positioning recognition algorithm, and the blockchain module comprises the following components: generating two-dimensional and three-dimensional models, filtering and optimizing data of each positioning infrastructure, and realizing accurate positioning;
machine learning and deep learning algorithms are used to analyze and predict the positioning data, extract valuable features, and predict and classify the positioning data by training a model.
The 5g network-based observation information fusion positioning key technical method is characterized by comprising the following steps of: the positioning further comprises: the positioning position is combined with the KNN,
wherein d (i, j) represents the distance of the ith data point from the jth data point; x is x i ，y i ，z i Three-dimensional coordinates respectively representing the ith data point for each numberThe data points are selected, K data points which are closest to other data points are selected, the categories of the selected K data points are counted, and the category with the largest occurrence number is selected as the prediction category of the data point.
The 5g network-based observation information fusion positioning key technical method is characterized by comprising the following steps of: the machine learning algorithm includes: in combination with the SVM algorithm, for each piece of positioning data, the SVM algorithm predicts whether it belongs to the positive class or the negative class by a decision function f (f { x }) by combining f (f { x }) with y i Obtaining a classification result by comparing the two types of the images; the mathematical formula of the decision function is as follows:
f(f{x})＝f{w} T f{x}+b
where f { w } is the normal vector of the decision boundary, b is the intercept 2 of the decision boundary, and T represents the transpose of f { w }.
The 5g network-based observation information fusion positioning key technical method is characterized by comprising the following steps of: the machine learning algorithm further includes: the result data obtained by calculation is averaged,
when the error is greater than a preset threshold value, repeatedly calculating data in the error range in a superposition mode, taking an average value and storing the average value into a block chain;
if the result error is too large, the result error is regarded as error, and calculation is carried out again;
if the recalculation times are too many, judging that the equipment positioning is abnormal, and timely replacing the positioning equipment by a dispatching staff
When the error is not greater than a preset threshold, the error is considered normal, and automatic correction is attempted;
and setting an alarm threshold, when the alarm threshold is reached, sending out early warning information at the monitoring center, and adjusting the error preset threshold of the system according to the record of automatic correction and superposition repeated calculation.
An observation information fusion positioning key technical system based on a 5g network is characterized in that: the system comprises an operation data acquisition module, a monitoring center, a block chain module, an AI module and an alarm notification management module;
the operation data acquisition module acquires position data of various devices through a data transmission means with 5g of network as a main and other networks as auxiliary, and transmits the acquired data to a monitoring center;
the monitoring center is connected with the block chain module and is used for reserving the relative position and the absolute position of each intelligent device;
the block chain module is connected with the AI module, and the relative position, the absolute position and the equipment information of the block chain are learned and analyzed through a neural network algorithm, and the relative position and the absolute position after algorithm optimization are calculated.
And the alarm notification management module performs notification or alarm operation on related personnel through the relative position, the absolute position, the equipment information and the like after the optimization of the algorithm.
A computer device, comprising: a memory and a processor; the memory stores a computer program characterized in that: the processor, when executing the computer program, implements the steps of the method of any of the present application.
A computer-readable storage medium having stored thereon a computer program, characterized by: the computer program, when executed by a processor, implements the steps of the method of any of the present application.
The application has the beneficial effects that: the observation information fusion positioning key technical method based on the 5g network provided by the application has the advantages that a plurality of positioning modes are fused, the defect of independent positioning is avoided, and the positioning precision is improved by 5 g; through block chain decentralization, the non-tamper property of positioning data at each time is ensured, and data support is provided for the evolution of a positioning algorithm; the system adopts encryption protocol management to realize the transmission of data information and ensure the safety and confidentiality of information transmission; the information of the positioning is monitored in real time through the monitoring center, and the positioning is automatically or manually corrected according to manual feedback and an AI algorithm so as to achieve the positioning as precisely as possible.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. Wherein:
fig. 1 is an overall flowchart of a method for positioning key technology based on 5g network observation information fusion according to a first embodiment of the present application;
fig. 2 is a system model diagram in a 5g network-based observation information fusion positioning key technology method according to a second embodiment of the present application.
Detailed Description
So that the manner in which the above recited objects, features and advantages of the present application can be understood in detail, a more particular description of the application, briefly summarized above, may be had by reference to the embodiments, some of which are illustrated in the appended drawings. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments of the present application without making any inventive effort, shall fall within the scope of the present application.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application, but the present application may be practiced in other ways other than those described herein, and persons skilled in the art will readily appreciate that the present application is not limited to the specific embodiments disclosed below.
Further, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic can be included in at least one implementation of the application. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
While the embodiments of the present application have been illustrated and described in detail in the drawings, the cross-sectional view of the device structure is not to scale in the general sense for ease of illustration, and the drawings are merely exemplary and should not be construed as limiting the scope of the application. In addition, the three-dimensional dimensions of length, width and depth should be included in actual fabrication.
Also in the description of the present application, it should be noted that the orientation or positional relationship indicated by the terms "upper, lower, inner and outer", etc. are based on the orientation or positional relationship shown in the drawings, are merely for convenience of describing the present application and simplifying the description, and do not indicate or imply that the apparatus or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present application. Furthermore, the terms "first, second, or third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The terms "mounted, connected, and coupled" should be construed broadly in this disclosure unless otherwise specifically indicated and defined, such as: can be fixed connection, detachable connection or integral connection; it may also be a mechanical connection, an electrical connection, or a direct connection, or may be indirectly connected through an intermediate medium, or may be a communication between two elements. The specific meaning of the above terms in the present application will be understood in specific cases by those of ordinary skill in the art.
Example 1
Referring to fig. 1, for one embodiment of the present application, there is provided a 5g network-based observation information fusion positioning key technology method, including:
s1: and acquiring position data of various networking devices through an operation data acquisition module, and transmitting the acquired data to a monitoring center.
Further, each terminal facility device chip integrates 5G, wifi, bluetooth, satellite and other positioning infrastructures, accesses the central system and provides subsequent service support. The data acquisition module acquires and filters positioning data of each intelligent terminal.
It should be appreciated that the operation data acquisition module acquires various networking equipment position data including intelligent wearing equipment, intelligent terminal equipment, intelligent machinery and the like by using a method that 5g of network is mainly and other networks are auxiliary, and transmits the acquired data to the monitoring center.
S2: and connecting the monitoring center with the block chain module, and reserving the relative position and the absolute position among the intelligent devices.
It should be noted that, the monitoring center is used as a display and monitoring system for data collection, and displays data from different terminal devices, sub-positioning facilities and sub-areas; the alarm notification management module gives service support based on the monitoring center, gives notification or record from dangerous alarm, object positioning and even object swinging.
It is also noted that, when observing the equipment position information, judging whether the recalculated positioning information is reasonable; if the recalculated positioning information is not matched with the actual road condition, the equipment is regarded as equipment positioning error, an alarm is sent out, and the preset contact person of the equipment is verified; if the recalculated positioning information is matched with the actual road condition, the vehicle is considered to normally move, and a route record is generated; when the static equipment is observed, determining whether the positioning information calculated by the system is correct or not by utilizing signal association with other equipment; if the association position relation is met, determining positioning information; if the association is not met, verification is sent out to the equipment.
S3: the block chain module is connected with the AI module, and the relative position, the absolute position and the equipment information of the block chain are learned and analyzed through a neural network algorithm, and the relative position and the absolute position after the algorithm optimization are calculated; by combining 5G positioning data and a prediction model, high-precision positioning service is realized. For example, intelligent navigation techniques may be used to provide optimal path planning and navigation services to users based on positioning data and predictive models.
5G, wifi, bluetooth, satellite and other positioning facility longitude, latitude, movement direction and other information, combining with algorithms such as a Kalman filter, a least square method, gao Sixiao yuan and the like to obtain a positioning position and combining with KNN, wherein the calculation formula is as follows:
wherein d (i, j) represents the distance of the ith data point from the jth data point; x is x i ，y i ，z i Respectively represent the ithThe three-dimensional coordinates of the data points are obtained by selecting K data points closest to other data points for each data point, counting the categories of the K selected data points, and selecting the category with the largest occurrence number as the prediction category of the data point.
In connection with SVM, the algorithm is a machine learning algorithm based on kernel skills, in the calculation of positioning data, we can consider each piece of positioning data as a vector, and each point in the vector space represents a state, which can be a positive or negative type. The purpose of svm is to find a decision boundary, assuming n pieces of positioning data, whose states are y, respectively 1 ，y 2 ，...，y n Each piece of positioning data is described by d characteristics, which are respectively x 1 ，x 2 ，...，x d The positioning data may be represented as f { x } = (x) 1， x 2 ，...，x d )。
For each piece of positioning data, the SVM algorithm predicts whether it belongs to the positive class or the negative class by a decision function f (f { x }), the mathematical formula of which is as follows:
f(f{x})＝f{w} T f{x}+b
where f { w } is the normal vector of the decision boundary and b is the intercept of the decision boundary.
Finally, by combining f (f { x } with y) i A classification result can be obtained.
And if the error is larger, repeatedly calculating the average value of the data in the error range in a superposition mode, and storing the average value into a blockchain, so that the data can be checked each time later, and the accuracy is improved by manual adjustment, and meanwhile, the non-tamper property of the data is ensured.
S4: and the alarm notification management module performs notification or alarm operation on related personnel through the relative position, the absolute position, the equipment information and the like after the optimization of the algorithm.
It should be noted that, the result data obtained by calculation is averaged, when the error is greater than the preset threshold value, the data in the error range is repeatedly calculated by superposition for many times, and the average value is obtained and stored in the block chain; if the result error is too large, the result error is regarded as error, and calculation is carried out again; and when the error is not greater than the preset threshold value, the error is regarded as normal, and automatic correction is attempted.
Meanwhile, an alarm threshold is set, and when the alarm threshold is reached, early warning information is sent out by the monitoring center; according to the record of automatic correction and overlapping repeated calculation, adjusting the error preset threshold value of the system; if the recalculation times are too many, judging that the equipment positioning is abnormal, and timely replacing the positioning equipment by a dispatching worker.
The operation data acquisition module acquires position data of various devices through a data transmission means with 5g of network as a main and other networks as auxiliary, and transmits the acquired data to a monitoring center;
the monitoring center is connected with the block chain module and is used for reserving the relative position and the absolute position of each intelligent device;
the block chain module is connected with the AI module, and the relative position, the absolute position and the equipment information of the block chain are learned and analyzed through a neural network algorithm, and the relative position and the absolute position after algorithm optimization are calculated.
And the alarm notification management module performs notification or alarm operation on related personnel through the relative position, the absolute position, the equipment information and the like after the optimization of the algorithm.
Example 2
Referring to fig. 2, for one embodiment of the present application, a 5g network-based observation information fusion positioning key technology method is provided, and in order to verify the beneficial effects of the present application, scientific demonstration is performed through economic benefit calculation and simulation experiments.
There are two satellite positioning base stations on the mountain, two GPS instances x and y, where x= (x) 1 ，x 2 ，x 3 ，x 4 ，x 5 ，x 6 )，y＝(y 1 ，y 2 ，y 3 ，y 4 ，y 5 ，y 6 ) Wherein x is 1 、y 1 Representing longitude, x 2 、y 2 Representing latitude, x 3 、y 3 Indicating height, x 4 、y 4 Representing a time stamp, x 5 、y 5 Representing the number of satellites, x 6 、y 6 Representing the signal strength.
Their euclidean distance can be expressed as:
d(x，y)＝sqrt((x 1 -y 1 ) 2 +(x 2 -y 2 ) 2 +(x 3 -y 3 ) 2 +(x 4 -y 4 ) 2 +(x 5 -y 5 ) 2 +(x 6 -y 6 ) 2 )
then according to the steps of the KNN algorithm we can determine the position of this instance by calculating the distance from other known instances and find the nearest k instances, finally predict for the new instance by majority voting on the labels of these k instances.
x 1 ，y 1 A longitude 42.28409796715063; 42.7376764383040736, x 2 ，y 2 Representing a latitude of-102.84015393828359; 99.45636499645767, x 3 ，y 3 Representing a height of 113;456, x 4 y 4 Is a timestamp 1676214891636;1676219891636, x 5 ，y 5 Number of satellites 3;7, x 6 ，y 6 Signal intensity is 4;5.
d(x，y)＝sqrt((42.28409796715063-42.737614383040736) 2 +(-102.84015393828359
--99.45636499645767) 2 +(113-456) 2 +(1676214891636-1676219891636) 2 +(3-7) 2 +(4-5) 2 )
d(x，y)＝sqrt((-0.4535144159251036) 2 +(3.3837904169305916) 2 +(343) 2 +(0) 2 +
(4) 2 +(1) 2 )
d(x，y)＝sqrt(0.20549991669896446+11.491714864679947+343 2 +0+16+1)
d(x，y)＝sqrt(11.897114880377883+343 2 +17)
d(x，y)＝sqrt(11.897114880377883+343 2 +17)
d(x，y)＝343.7494753593179
the distance between two points can be 343.7494753593179km, the distance is saved in a chain, and the optimal treatment can be selected by overlapping with other algorithms or manually adjusted.
And if the error between the measured position and the actual position of the equipment is within the threshold range, judging that the positioning is accurate, and reasonably planning the equipment route by utilizing the positioning information.
It should be noted that the above embodiments are only for illustrating the technical solution of the present application and not for limiting the same, and although the present application has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present application may be modified or substituted without departing from the spirit and scope of the technical solution of the present application, which is intended to be covered in the scope of the claims of the present application.
Claims (5)
1. The observation information fusion positioning key technical method based on the 5g network is characterized by comprising the following steps of:
the method comprises the steps of collecting position data of various networking devices through an operation data collecting module, and sending the collected data to a monitoring center;
connecting the monitoring center with a block chain module, and reserving the relative position and the absolute position among the intelligent devices;
the block chain module is connected with the AI module, and the relative position, the absolute position and the equipment information of the block chain are learned and analyzed through a neural network algorithm, and the relative position and the absolute position after the algorithm optimization are calculated;
the alarm notification management module performs notification or alarm operation on related personnel through the relative position, the absolute position, the equipment information and the like after the optimization of the algorithm;
the operation data acquisition module comprises: the 5g network is used as the main network, the other networks are used as the auxiliary networks, and the collected data are sent to the monitoring center;
the monitoring center includes: the display and monitoring system for data collection displays data from different terminal devices, sub-positioning facilities and sub-areas, and simultaneously gives an alarm when abnormal data is found;
judging whether the recalculated positioning information is reasonable or not when observing the position information of the equipment;
if the recalculated positioning information is not matched with the actual road condition, the equipment is regarded as equipment positioning error, an alarm is sent out, and the preset contact person of the equipment is verified;
if the recalculated positioning information is matched with the actual road condition, the vehicle is considered to normally move, and a route record is generated;
when the static equipment is observed, determining whether the positioning information calculated by the system is correct or not by utilizing signal association with other equipment;
if the association position relation is met, determining positioning information; if the association relation is not met, verification is sent out to the equipment;
the blockchain module collects data from the monitoring center into a chain and provides the AI module with a subsequent optimized positioning recognition algorithm, and the blockchain module comprises the following components: generating two-dimensional and three-dimensional models, filtering and optimizing data of each positioning infrastructure, and realizing accurate positioning;
analyzing and predicting the positioning data by using a machine learning and deep learning algorithm, extracting valuable features, and predicting and classifying the positioning data by training a model;
the positioning further comprises: combining the positioning position with KNN;
wherein d (i, j) represents the distance of the ith data point from the jth data point; x is x i ，y i ，z i Respectively representing three-dimensional coordinates of an ith data point, selecting K data points which are closest to other data points for each data point, counting categories of the K selected data points, and selecting the category with the largest occurrence number as a prediction category of the data point;
the machine learning algorithm includes: in combination with the SVM algorithm, for each piece of positioning data, the SVM algorithm predicts whether it belongs to the positive class or the negative class by a decision function f (f { x }) by combining f (f { x }) with y i Obtaining a classification result by comparing the two types of the images; the mathematical formula of the decision function is as follows:
f(f{x})＝f{w} T f{x}+b
where f { w } is the normal vector of the decision boundary, b is the intercept of the decision boundary, and T represents the transpose of f { w }.
2. The 5g network-based observation information fusion positioning key technical method as claimed in claim 1, wherein: the machine learning algorithm further includes: the result data obtained by calculation is averaged,
when the error is greater than a preset threshold value, repeatedly calculating data in the error range in a superposition mode, taking an average value and storing the average value into a block chain;
if the result error is too large, the result error is regarded as error, and calculation is carried out again;
if the recalculation times are too many, judging that the equipment positioning is abnormal, and timely replacing the positioning equipment by a dispatching staff
When the error is not greater than a preset threshold, the error is considered normal, and automatic correction is attempted;
and setting an alarm threshold, when the alarm threshold is reached, sending out early warning information at the monitoring center, and adjusting the error preset threshold of the system according to the record of automatic correction and superposition repeated calculation.
3. A 5g network based observed information fusion positioning key technology system employing the method of any one of claims 1-2, characterized in that: the system comprises an operation data acquisition module, a monitoring center, a block chain module, an AI module and an alarm notification management module;
the operation data acquisition module acquires position data of various devices through a data transmission means with 5g of network as a main and other networks as auxiliary, and transmits the acquired data to a monitoring center;
the monitoring center is connected with the block chain module and is used for reserving the relative position and the absolute position of each intelligent device;
the block chain module is connected with the AI module, and the relative position, the absolute position and the equipment information of the block chain are learned and analyzed through a neural network algorithm, and the relative position and the absolute position after algorithm optimization are calculated;
and the alarm notification management module performs notification or alarm operation on related personnel through the relative position, the absolute position, the equipment information and the like after the optimization of the algorithm.
4. A computer device, comprising: a memory and a processor; the memory stores a computer program characterized in that: the processor, when executing the computer program, implements the steps of the method of any one of claims 1 to 2.
5. A computer-readable storage medium having stored thereon a computer program, characterized by: the computer program implementing the steps of the method of any one of claims 1 to 2 when executed by a processor.
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