CN114996251A - Safety service management method and system based on radio station GPS track data - Google Patents

Safety service management method and system based on radio station GPS track data Download PDF

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CN114996251A
CN114996251A CN202210637271.2A CN202210637271A CN114996251A CN 114996251 A CN114996251 A CN 114996251A CN 202210637271 A CN202210637271 A CN 202210637271A CN 114996251 A CN114996251 A CN 114996251A
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patrol
time
radio station
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潘三锋
向亮
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Wuhan Zhongzhi Digital Technology Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/21Design, administration or maintenance of databases
    • G06F16/215Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S19/00Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/38Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
    • G01S19/39Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/393Trajectory determination or predictive tracking, e.g. Kalman filtering
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29Geographical information databases
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311Scheduling, planning or task assignment for a person or group
    • G06Q10/063114Status monitoring or status determination for a person or group
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/10Office automation; Time management
    • G06Q10/103Workflow collaboration or project management
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/20Analysis of motion
    • G06T7/246Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/20Analysis of motion
    • G06T7/277Analysis of motion involving stochastic approaches, e.g. using Kalman filters
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30241Trajectory

Abstract

The invention provides a safety service management method and a system based on radio station GPS track data, wherein the method comprises the following steps: preprocessing real-time longitude and latitude data of a receiving station to form a basic database; constructing a data model taking radio station GPS data, patrol service point location data and patrol range data as dimensions; calculating real-time track data of each patrol point radio station in a patrol time period in real time, formulating rules to generate the conditions that the radio station does not move for a long time or is not in a patrol area and the like, and judging the abnormal condition of each radio station data; and (4) statistics of historical data such as patrol distance of each radio station every day, various abnormal conditions and the like is carried out, and the historical data can be traced back to realize service management. The invention can check the daily working condition and the historical abnormal condition of the patrol policemen in real time and record the working state of each patrol policemen so as to facilitate service management.

Description

Safety service management method and system based on radio station GPS track data
Technical Field
The invention relates to the field of safety service management, in particular to a safety service management method and system based on radio station GPS track data.
Background
At present, daily patrol behaviors of safety related personnel cannot be fed back to managers in real time, service management can be performed only through manual recording, card punching, oral reporting and other modes, and the daily patrol management method is complex and cannot visually display states and abnormal conditions of patrol points.
Therefore, it is necessary to research a service management scheme to support daily service such as duty-on duty reporting, real-time supervision, and abnormal behavior assessment for patrol policemen and police cars.
Disclosure of Invention
In order to solve at least part of the problems in the prior art, the invention provides a safety service management method and system based on radio station GPS track data.
In a first aspect, the invention provides a safety service management method based on station GPS track data, comprising the following steps:
s1, collecting real-time longitude and latitude data of the radio station to form a basic database, and performing data cleaning and data thinning on the basic database to form a preprocessing database;
s2, constructing a data model with different dimensionalities of radio station GPS data, patrol service point location data and patrol range data;
s3, calculating GPS track data in real time, setting patrol rules for patrol service points, and generating real-time early warning by combining a logic behavior data model; and counting the patrol distance of each radio station every day and historical track data of the radio stations under abnormal conditions.
Preferably, the S1 specifically includes:
the method comprises the steps of collecting longitude and latitude data of a radio station in a UDP protocol mode, adopting a Kalman filtering algorithm to carry out data cleaning, and storing relevant cleaned data to a preprocessing database for the conditions of abnormal point positions and relevant point positions.
Preferably, the data thinning in S1 specifically includes: and performing data thinning operation on real-time track data of the radio station in the patrol time period through a Douglas-Pock algorithm, and maintaining the original real-time track.
Preferably, the S3 specifically includes: and (3) reflecting the motion trail of each patrol point position person by calculating the preprocessed real-time trail data in real time, and generating early warning information in real time if abnormal conditions exist.
Preferably, the S3 specifically includes: and warehousing the real-time original data of a time period and the historical track data of the radio station together so as to facilitate the tracing of later problems.
Preferably, the historical station trajectory data in S3 specifically includes: the distance of a patrol track, the patrol staying time period, the time of not being in a patrol area and the no-signal time of a radio station are measured every day.
In a second aspect, the present invention further provides a security service management system based on station GPS track data, including:
the system comprises an original database establishing module, a base database establishing module and a broadcasting station real-time longitude and latitude data acquiring module, wherein the original database establishing module is used for acquiring real-time longitude and latitude data of a broadcasting station to form the base database;
the preprocessing database establishing module is used for cleaning and rarefying data of the basic database to form a preprocessing database;
the patrol behavior acquisition module is used for constructing a data model with different dimensionalities of radio station GPS data, patrol service point location data and patrol range data;
the real-time early warning generation module is used for calculating GPS track data in real time, setting a patrol rule for a patrol service point position and generating real-time early warning by combining a logic behavior data model;
and the historical data processing module is used for counting patrol distances of all radio stations every day and warehousing historical radio station track data of abnormal conditions.
In a third aspect, the present invention also provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method as described above when executing the computer program.
In a fourth aspect, the present invention also provides a computer-readable storage medium, in which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the method as set forth in any of the above.
Compared with the prior art, the invention has the following beneficial effects:
the personnel distribution of each patrol site can be visually displayed in real time, and the relevant condition of whether each patrol personnel is abnormal (no movement for a long time, no signal in a patrol area, no signal in a radio station for a long time and the like) is checked. The problems that a traditional service management scheme is complicated, unintuitive, inaccurate and the like are solved. The system can better promote the implementation of patrol service work, fully exert personnel resources, improve the efficiency and provide more comprehensive and visual service management for managers.
Drawings
Fig. 1 is a flowchart of a security service management method based on station GPS track data according to an embodiment of the present invention;
fig. 2 is a block diagram of a security service management system based on station GPS track data according to an embodiment of the present invention.
Detailed Description
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 only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, an embodiment of the present invention provides a security service management method based on station GPS track data, including the following steps:
s1, collecting real-time longitude and latitude data of the radio station to form a basic database, and performing data cleaning and data thinning on the basic database to form a pretreatment database; and receiving the real-time longitude and latitude data of the radio station to form a basic database.
And docking the GPS data information of the radio station through a UDP protocol, wherein the GPS data information comprises basic data such as longitude, latitude, reporting time, radio station number, speed, direction and the like.
S2, constructing a data model with different dimensionalities of radio station GPS data, patrol service point location data and patrol range data;
s3, calculating GPS track data in real time, setting patrol rules for patrol service points, and generating real-time early warning by combining a logic behavior data model; and counting the patrol distance of each radio station every day and historical track data of the radio stations under abnormal conditions.
Since the track data is acquired by the GPS radio station device, abnormal situations such as deviation of positioning from a real position, loss of positioning data, and the like may occur in the acquired data. Therefore, it is necessary to perform appropriate cleaning work on the trajectory data set.
In order to clean abnormal data, The invention adopts a Kalman filtering Algorithm (The Kalman Filter Algorithm) for processing, which is an Algorithm for carrying out optimal estimation on The system state by utilizing a linear system state equation and inputting and outputting observation data through a system. The optimal estimation can also be seen as a filtering process, since the observed data includes the effects of noise and interference in the system.
The number n of track points contained in one track is recorded, and each track point is a point in a two-dimensional space (two dimensions of longitude and latitude). Marking ith track point as column vector p i ∈R 2×1 I is more than or equal to 1 and less than or equal to l. The kalman filter used herein uses a linear motion model, taking into account the velocity factor, and the state vector contains both position and velocity information. Noting the state vector s i ∈R 4×1 I is more than or equal to 1 and less than or equal to l, the front two-dimensional representation represents longitude and latitude coordinates, and the rear two-dimensional representation represents the speed of the longitude and latitude directions. The available state vector transfer equation s i+1 ∈Ms i Where M is a state shift matrix as follows:
Figure BDA0003680947090000051
the data acquisition interval of the GPS of the radio station is 1s, delta t =1。
The filtering algorithm adopts a covariance matrix Q epsilon R 4×4 And R∈R 2×2 The error of the linear motion system and the error condition of the measurement are measured respectively. And the covariance matrix p i ∈R 2×2 And i is more than or equal to 1 and less than or equal to l, measuring the state error of the ith track point. Initialization setting Q, R, P according to actual conditions 1 And s 1
Figure BDA0003680947090000052
The initialization is carried out such that,
Figure BDA0003680947090000053
is s is 1 The velocity estimate of (a). For the result to be as accurate as possible P 1 To P 2 ~P 6 The average speed of (2) as the estimated speed.
Subsequently, kalman filtering will solve the state vector of each subsequent trace point one by one. The solution adopts the following recursion process:
1. and solving a system error matrix at the next moment: p' i+1 =MP i M T +Q;
2. Solving a Kalman gain matrix: k i+1 =P′ i+1 H t (HP′ i+1 H T +λR) -1 And λ is an untrusted index of the measurement result, and higher λ represents more untrusted. H is corresponding to {0,1} r×4 R is 0-2 and is a mapping matrix from state vector to measurement vector, the matrix is dependent on P i+1 The data integrity of (a) will be adjusted accordingly.
3. Calculating a state error matrix: p i+1 =P′ i+1 -K i+1 HP′ i+1
4. Calculating the next node state: s i+1 =Ms i +K i+1 (P i+1 -HMs i )。
By the method, data of position offset and data loss are filtered, so that the result of the track is more reasonable and reliable. Meanwhile, due to the fact that the amount of the collected data is too large, time consumption for calculating the track data is long, rendering of the map track is unsmooth, the collected track data needs to be subjected to thinning operation, some unnecessary point positions are eliminated, and the general outline of the track is maintained. The invention adopts Douglas-Puck (Douglas-Peuker) algorithm, and the realization principle is as follows:
assuming that there is a curve composed of N coordinate points on the plane coordinate system, a threshold E has been set
1. First, a start point and an end point are connected by a straight line, and a point having the largest distance from the straight line and being larger than the threshold E is found and the position of the point is recorded (herein, it is referred to as a maximum threshold point for the moment).
2. Then, with this point as a boundary point, the whole curve is divided into two segments (herein, it is referred to as a left curve and a right curve for the moment), the two segments are imagined as independent curves, and then operation (1) is repeated to find the maximum threshold points on both sides.
3. Finally, repeating the operations 1 and 2 until the maximum threshold point can not be found, and then connecting all the maximum threshold points in sequence to obtain a simplified and smoother curve which is similar to the original curve.
The thinning precision of the algorithm is also related to a threshold value, the larger the threshold value is, the larger the simplification degree is, the more the points are reduced, and conversely, the lower the simplification degree is, the more the points are reserved, and the shape tends to the original curve.
And finally, storing the processed track data into a database to form a preprocessing database.
According to the further scheme, the system can associate the service point position data with the radio station track data through preset data such as the coordinates of each service point position configured by the system, the patrol range of each service point position and the radio station number of the patrol point position in a user-defined mode, and the radio station track data in the patrol time period of the service point position are obtained from a preprocessing database.
According to a further scheme, track data are processed in real time through a preset patrol abnormal rule, if the radio station is in abnormal conditions such as no signal, no movement or no in a patrol area and the like after a period of time, early warning data can be pushed to relevant personnel in real time, and the radio station state of each service point can be displayed in real time through a map. The following scheme is adopted for judging whether the radio station is in the patrol range, and the theory supports: if the number of the focuses of a ray starting from a point needing to be judged and the polygon is odd, the point is in the polygon, otherwise, the point is out of the polygon (the ray can not be intersected with the vertex of the polygon).
The method comprises the following specific steps:
firstly, judging whether the point is in the outer-wrapped rectangle of the polygon, if so, further judging, otherwise, not judging in the polygon.
If the point is coincident with one vertex of the polygon, the point is in the polygon, otherwise, the judgment is further made.
The specific method comprises the following steps: a ray is emitted from a point P to the positive x direction, the Y value of the point is more than or equal to the minimum value of a certain line segment on the polygon and less than the maximum value of the line segment, and a point P1 with the Y value of P.y is taken on the line segment. If P.x < P1.x, the counter is increased by 1, if the line segment formed by the two points intersects with the parallel latitude line derived based on the target point, the counter is increased by 1, if the counter is odd, the counter is in the polygon, and if the counter is even, the counter is out of the polygon.
According to a further scheme, historical data such as patrol distance of each radio station in the previous day, various abnormal conditions and the like are regularly counted every day and put in a warehouse.
When the distance is calculated based on GPS data, the radius of the earth is the average radius of the earth, assuming that the earth is a perfect sphere. If the meridian of 0 degree is taken as a reference, the earth surface distance between any two points on the earth surface can be calculated according to the longitude and latitude of the two points. Setting points A (lon1, lat1), B (lon2, lat2),
converting the angle into radian of longitude and latitude by a method d x pi/180, wherein d is not transmitted into the longitude and latitude.
The converted radians are indicated by the upper-case Lat, Lon,
a-Lat 1-Lat2 represents the difference in latitude radians.
b-Lon 1-Lon2 represents a longitude radian difference.
And obtaining the distance between two points of the spherical surface by using a Haverine formula.
Figure BDA0003680947090000071
Where 6378.137 is the approximate radius of the earth.
And counting and adding the distances of each point in the patrol time period of the processed radio station track data to obtain the patrol distance of each radio station.
The related data such as the distance, no movement for a long time, no in patrol area, no GPS signal and the like during patrol are used as the safety patrol attendance index.
As shown in fig. 2, an embodiment of the present invention further provides a system for managing a security service based on station GPS track data, including:
the original database establishing module 11 is used for forming an original database by the collected radio station GPS track data;
a preprocessing database establishing module 12, which performs filtering, rarefying and other related data operations on the original trajectory data to form a preprocessing database;
the data preprocessing module 13 is used for constructing a related data model formed by radio station GPS data, patrol service point position data and patrol range data;
and the real-time early warning generation module 14 is used for generating real-time early warning by setting patrol rules for patrol service points and combining the logic behavior data model.
And the historical data processing module 15 is used for processing daily GPS track data of each patrol point, and calculating relevant data such as daily patrol track distance, patrol staying time period, time of not being in a patrol area, radio station no-signal time length and the like to be put into a storage for recording.
An embodiment of the present invention further provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the steps of the above method embodiments are implemented.
An embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the computer program implements the steps of the above method embodiment.
Since the principles of the solution technologies of the above system, electronic device, and computer-readable storage medium embodiments are similar to those of the above method embodiments, the system, electronic device, and computer-readable storage medium may be implemented by referring to the above method embodiments, and repeated descriptions are omitted.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

Claims (9)

1. A safety service management method based on radio station GPS track data is characterized by comprising the following steps:
s1, collecting real-time longitude and latitude data of the radio station to form a basic database, and performing data cleaning and data thinning on the basic database to form a preprocessing database;
s2, constructing a data model with different dimensionalities of radio station GPS data, patrol service point location data and patrol range data;
s3, calculating GPS track data in real time, setting patrol rules for patrol service points, and generating real-time early warning by combining a logic behavior data model; and counting the patrol distance of each radio station every day and historical track data of the radio stations under abnormal conditions.
2. The station GPS track data-based security service management method according to claim 1, wherein the S1 specifically includes:
the method comprises the steps of collecting longitude and latitude data of a radio station in a UDP protocol mode, adopting a Kalman filtering algorithm to carry out data cleaning, and storing relevant cleaned data to a preprocessing database for the conditions of abnormal point positions and relevant point positions.
3. The station GPS track data-based security service management method according to claim 1, wherein the data thinning in S1 specifically comprises: and performing data thinning operation on real-time track data of the radio station in the patrol time period through a Douglas-Pock algorithm, and maintaining the original real-time track.
4. The station GPS track data-based security service management method according to claim 1, wherein the S3 specifically includes: and (3) reflecting the motion trail of each patrol point position person by calculating the preprocessed real-time trail data in real time, and generating early warning information in real time if abnormal conditions exist.
5. The station GPS track data-based security service management method according to claim 1, wherein the S3 specifically includes: and warehousing the real-time original data of a time period and the historical track data of the radio station together so as to facilitate the tracing of later problems.
6. The station GPS trajectory data-based security service management method according to claim 1, wherein the station historical trajectory data in S3 specifically includes: the distance of a patrol track, the patrol staying time period, the time of not being in a patrol area and the no-signal time of a radio station are measured every day.
7. A security service management system based on station GPS trajectory data, comprising:
the system comprises an original database establishing module, a base database establishing module and a broadcasting station real-time longitude and latitude data acquiring module, wherein the original database establishing module is used for acquiring real-time longitude and latitude data of a broadcasting station to form the base database;
the preprocessing database establishing module is used for cleaning and rarefying data of the basic database to form a preprocessing database;
the patrol behavior acquisition module is used for constructing a data model with different dimensionalities of radio station GPS data, patrol service point location data and patrol range data;
the real-time early warning generation module is used for calculating GPS track data in real time, setting a patrol rule for a patrol service point position and generating real-time early warning by combining a logic behavior data model;
and the historical data processing module is used for counting patrol distances of all radio stations every day and storing historical track data of the radio stations under abnormal conditions.
8. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1-7 when executing the computer program.
9. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
CN202210637271.2A 2022-06-07 2022-06-07 Safety service management method and system based on radio station GPS track data Pending CN114996251A (en)

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