CN118014310A - Point location patrol method and system applied to campus patrol - Google Patents
Point location patrol method and system applied to campus patrol Download PDFInfo
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Abstract
The invention relates to the field of remote monitoring, and discloses a point location patrol method and a system applied to campus patrol, wherein the method comprises the following steps: analyzing a park structure of a park to be patrolled and examined, and constructing a park modeling scene of the park to be patrolled and examined; identifying the abnormal state of a historical park to be inspected, unitizing a park modeling scene to obtain a park modeling scene unit, and marking the abnormal frequent area of the park to be inspected; calculating a patrol convenience coefficient of a park unit corresponding to the abnormal frequent area, determining a park patrol point of the park to be patrol, identifying abnormal frequent characteristics of the abnormal frequent area, and constructing a patrol route of the park to be patrol; identifying patrol characteristics of the park patrol data, identifying abnormal coefficients of the park to be patrol by using the trained patrol abnormal identification model, and constructing a park patrol report of the park to be patrol. The invention can improve the inspection effect on the park.
Description
Technical Field
The invention relates to the field of remote monitoring, in particular to a point location patrol method and system applied to campus patrol.
Background
The campus inspection refers to regular or irregular inspection and monitoring of facilities, equipment, environments and the like in the campus so as to ensure safe and stable operation of the campus, and timely discover and deal with potential problems and risks.
The garden is patrolled and examined mainly through setting for fixed point position and time, because the variability of garden environment, this kind of fixed point position is patrolled and examined easily ignores the unusual region in garden to lead to the point position on garden to patrol the effect not good.
Disclosure of Invention
The invention provides a point location patrol method and a system applied to a campus patrol, and the method and the system mainly aim to improve the patrol effect of the campus.
In order to achieve the above purpose, the invention provides a point location patrol method applied to a campus patrol, comprising the following steps:
acquiring park scene data and park history patrol data of a park to be patrol, analyzing a park structure of the park to be patrol based on the park scene data, and constructing a park modeling scene of the park to be patrol based on the park structure;
Identifying the historical park abnormal state of the park to be inspected based on the park historical inspection data, unitizing the park modeling scene to obtain a park modeling scene unit, and marking the abnormal frequent area of the park to be inspected based on the historical park abnormal state and the park modeling scene unit;
Calculating a patrol convenience coefficient of the park unit corresponding to the abnormal frequent area based on the park modeling scene unit, determining a park patrol point of the park to be patrol based on the patrol convenience coefficient, and configuring park patrol equipment of the park to be patrol based on the park patrol point;
Identifying abnormal frequent characteristics of the abnormal frequent areas, constructing patrol time-frequency resources of patrol equipment corresponding to the park patrol points based on the abnormal frequent characteristics, and constructing a patrol route of the park to be patrol based on the patrol time-frequency resources and the park modeling scene unit;
Based on the patrol route, collecting park patrol data of the park to be patrol, identifying patrol characteristics of the park patrol data, based on the patrol characteristics, identifying abnormal coefficients of the park to be patrol by using a trained patrol abnormal identification model, and constructing a park patrol report of the park to be patrol based on the abnormal coefficients.
Optionally, the analyzing the campus structure of the to-be-patrolled-examined campus based on the campus scene data includes:
Preprocessing the park scene data to obtain processed park scene data;
Identifying scene structure data of the processing park scene data;
analyzing the structural geometric characteristics of the to-be-inspected park based on the scene structure data;
and determining the park structure of the to-be-patrolled-examined park based on the structural geometric features.
Optionally, the building the park modeling scene of the to-be-patrolled park based on the park structure includes:
Constructing a digital map of the park to be patrolled and examined based on the park structure;
constructing a three-dimensional foundation of the park to be inspected based on the digital map;
based on the park scene data corresponding to the to-be-inspected park, refining the three-dimensional foundation of the park to obtain a park modeling scene of the to-be-inspected park.
Optionally, the identifying, based on the campus historical patrol data, a historical campus abnormal state of the to-be-patrol campus includes:
Identifying a park risk factor of the park to be patrolled and examined;
serializing the park historical patrol data to obtain serial historical patrol data;
Analyzing the sequence risk state of the park risk factor based on the sequence historical patrol data;
constructing a risk state curve of the to-be-inspected park based on the sequence risk state;
And determining the abnormal state of the historical park of the park to be patrolled and examined based on the risk state curve.
Optionally, the determining, based on the risk status curve, the historical campus abnormal status of the to-be-patrolled and examined campus includes:
Identifying a curve fluctuation region of the risk status curve;
Identifying the fluctuation characteristics of the curve fluctuation area;
calculating an anomaly coefficient of the curve fluctuation region based on the fluctuation feature;
And analyzing the abnormal state of the historical park of the park to be patrolled and examined based on the abnormal coefficient.
Optionally, the calculating, based on the fluctuation feature, an anomaly coefficient of the curve fluctuation region includes:
identifying the fluctuation amplitude and the fluctuation time of the curve fluctuation area based on the fluctuation characteristics;
Based on the fluctuation amplitude and the fluctuation time, an anomaly coefficient of the curve fluctuation region is calculated using the following formula:
；
Wherein, Abnormal coefficient representing curve fluctuation area,/>Representing the fluctuation amplitude of the curve fluctuation zone,/>Representing the corresponding production curve of the curve fluctuation area,/>Angular frequency representing a risk status curve corresponding to a moving user,/>Wave peak value representing corresponding wave amplitude of curve wave area,/>Wave trough representing corresponding wave amplitude of curve wave region,/>Representing the fluctuation time of the fluctuation zone of the curve.
Optionally, the calculating, based on the campus modeling scene unit, a patrol convenience coefficient of the campus unit corresponding to the abnormal frequent area includes:
identifying a campus cell feature of the campus cell;
analyzing a convenience influence factor of the park unit based on the park unit characteristics;
identifying a convenient influence relationship between the convenient influence factor and the campus unit;
Based on the park unit characteristics, the convenient influence factors and the convenient influence relation, the patrol convenient coefficient of the park unit corresponding to the abnormal frequent area is calculated.
Optionally, the calculating, based on the campus unit feature, the convenience impact factor, and the convenience impact relation, a patrol convenience coefficient of the campus unit corresponding to the abnormal frequent area includes:
identifying a factor state of the convenience impact factor based on the campus unit feature;
based on the factor state and the convenience influence relation, weighting the convenience influence weight of the convenience influence factor;
Based on the convenience influence weight and the factor state, the patrol convenience coefficient of the park unit corresponding to the abnormal frequent area is calculated by using the following formula:
；
Wherein, The patrol convenience coefficient of the park unit is expressed by the formula/>Represent campus Unit No./>Factor state of convenience influencing factor,/>Represent campus Unit No./>Convenience influence weight of convenience influence factorRepresenting uncontrollable influence coefficients of a park unit,/>And representing the number of the park units corresponding to the convenience influence factors.
Optionally, the constructing, based on the abnormal frequent characteristic, a patrol time-frequency resource of the campus patrol equipment corresponding to the campus patrol point includes:
identifying a network interface of the campus patrol equipment;
Determining a network protocol of the campus patrol equipment based on the network interface;
Constructing a collaborative patrol network of the campus patrol equipment based on the network protocol;
Determining patrol parameters of the campus patrol equipment based on the collaborative patrol network and the Chang Pin send features;
And constructing the patrol time-frequency resource of the park patrol equipment corresponding to the park patrol point based on the patrol parameters.
In order to solve the above problems, the present invention further provides a point location patrol system applied to a campus patrol, the system comprising:
The park scene modeling module is used for acquiring park scene data and park history patrol data of a park to be patrol, analyzing a park structure of the park to be patrol based on the park scene data, and constructing a park modeling scene of the park to be patrol based on the park structure;
The historical anomaly identification module is used for identifying the historical park anomaly state of the park to be inspected based on the park historical inspection data, unitizing the park modeling scene to obtain a park modeling scene unit, and marking the anomaly frequent area of the park to be inspected based on the historical park anomaly state and the park modeling scene unit;
the patrol equipment construction module is used for calculating patrol convenience coefficients of the park units corresponding to the abnormal frequent areas based on the park modeling scene units, determining park patrol points of the park to be patrol based on the patrol convenience coefficients, and configuring park patrol equipment of the park to be patrol based on the park patrol points;
The patrol route construction module is used for identifying abnormal frequent characteristics of the abnormal frequent areas, constructing patrol time-frequency resources of the park patrol equipment corresponding to the park patrol points based on the abnormal frequent characteristics, and constructing the patrol route of the park to be patrol based on the patrol time-frequency resources and the park modeling scene unit;
the patrol anomaly identification module is used for acquiring the park patrol data of the park to be patrol based on the patrol route, identifying the patrol characteristics of the park patrol data, identifying the anomaly coefficient of the park to be patrol based on the patrol characteristics by utilizing the trained patrol anomaly identification model, and constructing the park patrol report of the park to be patrol based on the anomaly coefficient.
According to the embodiment of the invention, based on the park scene data, the park structure of the park to be inspected is analyzed and can be used as a data basis for modeling a later scene; according to the method and the device for identifying the historical park abnormal state of the park to be inspected, based on the park historical inspection data, the abnormal high risk area of the park can be identified by identifying the historical park abnormal state of the park to be inspected, so that the precision degree of park inspection positioning is improved; according to the embodiment of the invention, the park modeling scene is unitized, so that the park modeling scene unit can be obtained, the meshing of the park can be realized, and the later-stage park position positioning is convenient; further, according to the embodiment of the invention, based on the park modeling scene unit, the position of the proper arrangement of the patrol points of the park can be determined by calculating the patrol convenience coefficient of the park unit corresponding to the abnormal frequent area, so that the patrol effect is improved, alternatively, based on the abnormal frequent characteristics, the patrol time-frequency resource of the park patrol equipment corresponding to the park patrol points is constructed, the patrol monitoring of the park can be effectively carried out, and finally, based on the patrol characteristics, the embodiment of the invention can accurately analyze the abnormal state of the park to be patrol by utilizing the trained patrol abnormal identification model to identify the abnormal coefficient of the park to be patrol, so that the effect of patrol the park to the park is improved, and based on the abnormal coefficient, the park patrol report of the park to be patrol is constructed, so that the high-efficiency patrol of the park to be patrol is realized. Therefore, the point location patrol method and system applied to the campus patrol can improve the patrol effect of the campus.
Drawings
Fig. 1 is a schematic flow chart of a point location patrol method applied to a campus patrol according to an embodiment of the invention;
FIG. 2 is a functional block diagram of a point location patrol system applied to a campus patrol according to an embodiment of the present invention;
Fig. 3 is a schematic structural diagram of an electronic device of a point location patrol system applied to a campus patrol according to an embodiment of the present invention;
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The embodiment of the application provides a point location patrol method applied to campus patrol. The execution main body of the point patrol method applied to the campus patrol comprises at least one of a server, a terminal and the like which can be configured to execute the method provided by the embodiment of the application. In other words, the point location patrol method applied to the campus patrol may be performed by software or hardware installed in a terminal device or a server device, where the software may be a blockchain platform. The service end includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like. The server may be an independent server, or may be a cloud server that provides cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDN), and basic cloud computing services such as big data and artificial intelligence platforms.
Referring to fig. 1, a flow chart of a point location patrol method applied to a campus patrol according to an embodiment of the invention is shown. In this embodiment, the point location patrol method applied under the campus patrol includes:
s1, acquiring park scene data and park history tour-inspection data of a to-be-tour-inspected park, analyzing park structures of the to-be-tour-inspected park based on the park scene data, and constructing park modeling scenes of the to-be-tour-inspected park based on the park structures.
In the embodiment of the invention, the park scene data refers to data describing the internal scene of the park to be inspected, such as scene building position, scene building area, scene building image and the like, and the park history inspection data refers to a data set for inspecting the internal scene history of the park to be inspected.
Further, the analysis of the park structure of the park to be inspected can be used as a data base for the modeling of the later scene based on the park scene data. Wherein, the campus structure refers to the campus building structure of waiting to patrol the campus.
Further, as an embodiment of the present invention, the analyzing the campus structure of the to-be-patrolled campus based on the campus scene data includes: preprocessing the park scene data to obtain processed park scene data; identifying scene structure data of the processing park scene data; analyzing the structural geometric characteristics of the to-be-inspected park based on the scene structure data; and determining the park structure of the to-be-patrolled-examined park based on the structural geometric features.
The processing park scene data refers to a data set obtained by performing operations such as invalid value deletion, missing value supplementation and the like on the park scene data, the scene structure data refers to data describing an internal structure of the park to be patrolled and examined, such as scene entity space information, scene entity attribute information and the like, and the structural geometric features refer to physical shape features of the park to be patrolled and examined, such as building specific height, greening area and the like.
Optionally, the embodiment of the invention constructs the park modeling scene of the to-be-inspected park based on the park structure, and can be used as the accuracy of later park positioning. The park modeling scene refers to a scene for performing three-dimensional modeling on the park to be inspected.
Optionally, as an embodiment of the present invention, the building the campus modeling scenario of the to-be-patrolled campus based on the campus structure includes: constructing a digital map of the park to be patrolled and examined based on the park structure; constructing a three-dimensional foundation of the park to be inspected based on the digital map; based on the park scene data corresponding to the to-be-inspected park, refining the three-dimensional foundation of the park to obtain a park modeling scene of the to-be-inspected park.
The digital map is designed according to the collected information, the map should contain elements such as buildings, roads and facility equipment, and ensures proportion and accuracy of the map, and for convenient viewing and operation, professional Geographic Information System (GIS) software or drawing tools can be used for designing, and the three-dimensional foundation of the park is a modeling basic model of the park to be patrolled and examined.
S2, identifying the historical park abnormal state of the park to be inspected based on the park historical inspection data, unitizing the park modeling scene to obtain a park modeling scene unit, and marking the abnormal frequent area of the park to be inspected based on the historical park abnormal state and the park modeling scene unit.
According to the method and the device for identifying the historical park abnormal state of the park to be inspected, based on the park historical inspection data, the abnormal high risk area of the park can be identified by identifying the historical park abnormal state of the park to be inspected, so that the accuracy degree of park inspection positioning is improved. The history park abnormal state refers to a state that the park is abnormal in the history of the to-be-inspected park, such as abnormal collision, line short circuit and the like.
As one embodiment of the present invention, the identifying, based on the campus historical patrol data, a historical campus abnormal state of the to-be-patrol campus includes: identifying a park risk factor of the park to be patrolled and examined; serializing the park historical patrol data to obtain serial historical patrol data; analyzing the sequence risk state of the park risk factor based on the sequence historical patrol data; constructing a risk state curve of the to-be-inspected park based on the sequence risk state; and determining the abnormal state of the historical park of the park to be patrolled and examined based on the risk state curve.
The park risk factor refers to factors affecting safety risk of the park to be inspected, such as factors of a circuit, a meeting, building stability and the like, the sequence history inspection data refers to a data set obtained by arranging the park history inspection data according to time, and the sequence risk state refers to a history state of the park risk factor, such as a state of park health disorder, continuous traffic jam and the like.
Further, in an optional embodiment of the present invention, the determining, based on the risk status curve, the historical campus abnormal status of the to-be-patrolled campus includes: identifying a curve fluctuation region of the risk status curve; identifying the fluctuation characteristics of the curve fluctuation area; calculating an anomaly coefficient of the curve fluctuation region based on the fluctuation feature; and analyzing the abnormal state of the historical park of the park to be patrolled and examined based on the abnormal coefficient.
The curve fluctuation area refers to an area where the risk state curve has fluctuation abnormality, the fluctuation feature refers to a feature attribute of the curve fluctuation area, such as fluctuation amplitude, fluctuation time and the like, and the abnormality coefficient refers to the degree of abnormality of the curve fluctuation area.
Optionally, in an optional embodiment of the present invention, the calculating, based on the fluctuation feature, an anomaly coefficient of the curve fluctuation area includes: identifying the fluctuation amplitude and the fluctuation time of the curve fluctuation area based on the fluctuation characteristics; based on the fluctuation amplitude and the fluctuation time, an anomaly coefficient of the curve fluctuation region is calculated using the following formula:
；
Wherein, Abnormal coefficient representing curve fluctuation area,/>Representing the fluctuation amplitude of the curve fluctuation zone,/>Representing the corresponding production curve of the curve fluctuation area,/>Angular frequency representing a risk status curve corresponding to a moving user,/>Wave peak value representing corresponding wave amplitude of curve wave area,/>Wave trough representing corresponding wave amplitude of curve wave region,/>Representing the fluctuation time of the fluctuation zone of the curve.
According to the embodiment of the invention, the park modeling scene is unitized, so that the park modeling scene unit is obtained, the meshing of the park can be realized, and the later-stage park position positioning is convenient. The park modeling scene unit is a scene unit obtained by equally dividing the park modeling scene.
In the embodiment of the invention, the abnormal frequent area refers to an area where abnormality occurs frequently in the park to be inspected, such as an elevator, a gate, a lake and the like. In detail, the abnormal frequent area can be obtained by mapping the park historical patrol position data corresponding to the historical park abnormal state and the park modeling scene unit through a mapping function.
S3, calculating the patrol convenience coefficient of the park unit corresponding to the abnormal frequent area based on the park modeling scene unit, determining a park patrol point of the park to be patrol based on the patrol convenience coefficient, and configuring park patrol equipment of the park to be patrol based on the park patrol point.
According to the method and the device for the monitoring of the regional areas, based on the regional modeling scene unit, the position of the proper arrangement of the patrol points of the regional areas can be determined by calculating the patrol convenience coefficient of the regional units corresponding to the abnormal frequent areas, so that the patrol effect is improved. The patrol convenience coefficient refers to the patrol convenience degree of different units in the abnormal frequent area.
Optionally, as an embodiment of the present invention, the calculating, based on the campus modeling scene unit, a patrol convenience coefficient of the campus unit corresponding to the abnormal frequent area includes: identifying a campus cell feature of the campus cell; analyzing a convenience influence factor of the park unit based on the park unit characteristics; identifying a convenient influence relationship between the convenient influence factor and the campus unit; based on the park unit characteristics, the convenient influence factors and the convenient influence relation, the patrol convenient coefficient of the park unit corresponding to the abnormal frequent area is calculated.
The park unit features are environmental feature attributes of the park unit, such as unit positions and unit structures, the convenient influence factors are factors which influence the convenience of the park unit inspection, such as factors of distance, accessibility, shielding and the like, and the convenient influence relation is that the convenient influence factors are convenient to the park unit inspection.
Optionally, in an optional embodiment of the present invention, the calculating, based on the characteristics of the campus units, the convenience impact factors, and the convenience impact relationship, a patrol convenience coefficient of the campus units corresponding to the abnormal frequent area includes: identifying a factor state of the convenience impact factor based on the campus unit feature; based on the factor state and the convenience influence relation, weighting the convenience influence weight of the convenience influence factor; based on the convenience influence weight and the factor state, the patrol convenience coefficient of the park unit corresponding to the abnormal frequent area is calculated by using the following formula:
；
Wherein, The patrol convenience coefficient of the park unit is expressed by the formula/>Represent campus Unit No./>Factor state of convenience influencing factor,/>Represent campus Unit No./>Convenience influence weight of convenience influence factorRepresenting uncontrollable influence coefficients of a park unit,/>And representing the number of the park units corresponding to the convenience influence factors.
In the embodiment of the invention, the campus patrol point refers to the optimal patrol point position of the campus unit. In detail, the campus patrol point can screen the unit position with the highest patrol convenience coefficient. The campus patrol equipment refers to patrol equipment arranged at a patrol point, such as equipment of cameras, sensors and the like.
S4, identifying abnormal frequent characteristics of the abnormal frequent areas, constructing patrol time-frequency resources of the park patrol equipment corresponding to the park patrol points based on the abnormal frequent characteristics, and constructing the patrol route of the park to be patrol based on the patrol time-frequency resources and the park modeling scene unit.
In the embodiment of the present invention, the abnormal frequent feature refers to an abnormal feature attribute of the abnormal frequent region, such as an abnormal type, an abnormal frequency, and the like.
Optionally, according to the embodiment of the invention, based on the abnormal frequent characteristic, the patrol time-frequency resource of the park patrol equipment corresponding to the park patrol point is constructed, so that the patrol monitoring of the park can be effectively performed. The patrol time-frequency resource refers to resources such as patrol frequency, time and the like set for the park patrol equipment.
Optionally, as an embodiment of the present invention, the constructing, based on the abnormal frequent characteristic, a patrol time-frequency resource of the campus patrol equipment corresponding to the campus patrol point includes: identifying a network interface of the campus patrol equipment; determining a network protocol of the campus patrol equipment based on the network interface; constructing a collaborative patrol network of the campus patrol equipment based on the network protocol; determining patrol parameters of the campus patrol equipment based on the collaborative patrol network and the Chang Pin send features; and constructing the patrol time-frequency resource of the park patrol equipment corresponding to the park patrol point based on the patrol parameters.
The network interface refers to a device for linking a network by the campus patrol device, the network protocol refers to a protocol for realizing that the campus patrol device links a network, such as http, TCP/IP, FTP and the like, the collaborative patrol network refers to a device for realizing collaborative work of the campus patrol device, and the patrol parameters refer to setting parameters of the campus patrol device, such as parameters of a camera direction, a sensor signal receiving threshold and the like.
In the embodiment of the invention, the patrol route refers to a unit patrol route which is virtual according to the park modeling scene unit and the patrol time-frequency resource.
S5, based on the patrol route, collecting park patrol data of the park to be patrol, identifying patrol characteristics of the park patrol data, based on the patrol characteristics, identifying abnormal coefficients of the park to be patrol by using a trained patrol abnormal identification model, and based on the abnormal coefficients, constructing a park patrol report of the park to be patrol.
In the embodiment of the invention, the campus patrol data refers to a data set acquired by the campus patrol equipment and the campus patrol personnel according to the patrol route. The patrol characteristic refers to characteristic attributes of patrol of the park patrol data to obtain park patrol, such as characteristic attributes of park abnormality occurrence type, park abnormality occurrence frequency, park abnormality occurrence position and the like.
Optionally, the embodiment of the invention can accurately analyze the abnormal state of the park to be inspected by using the trained patrol abnormal recognition model to recognize the abnormal coefficient of the park to be inspected based on the patrol characteristics, thereby improving the effect of patrol on the park. The anomaly coefficient refers to the anomaly degree of the to-be-inspected park, which is abnormal. The inspection anomaly recognition model refers to a model for analyzing the anomaly state of a park, and the model can be a classifier or a regressor which is trained based on a machine learning algorithm (such as a support vector machine, a random forest, a neural network and the like).
Finally, the embodiment of the invention constructs the park patrol report of the park to be patrol based on the anomaly coefficient to realize efficient patrol of the park to be patrol. Wherein the campus patrol report includes: park anomaly area, park anomaly type, park anomaly level, park anomaly repair scheme, and the like.
According to the embodiment of the invention, based on the park scene data, the park structure of the park to be inspected is analyzed and can be used as a data basis for modeling a later scene; according to the method and the device for identifying the historical park abnormal state of the park to be inspected, based on the park historical inspection data, the abnormal high risk area of the park can be identified by identifying the historical park abnormal state of the park to be inspected, so that the precision degree of park inspection positioning is improved; according to the embodiment of the invention, the park modeling scene is unitized, so that the park modeling scene unit can be obtained, the meshing of the park can be realized, and the later-stage park position positioning is convenient; further, according to the embodiment of the invention, based on the park modeling scene unit, the position of the proper arrangement of the patrol points of the park can be determined by calculating the patrol convenience coefficient of the park unit corresponding to the abnormal frequent area, so that the patrol effect is improved, alternatively, based on the abnormal frequent characteristics, the patrol time-frequency resource of the park patrol equipment corresponding to the park patrol points is constructed, the patrol monitoring of the park can be effectively carried out, and finally, based on the patrol characteristics, the embodiment of the invention can accurately analyze the abnormal state of the park to be patrol by utilizing the trained patrol abnormal identification model to identify the abnormal coefficient of the park to be patrol, so that the effect of patrol the park to the park is improved, and based on the abnormal coefficient, the park patrol report of the park to be patrol is constructed, so that the high-efficiency patrol of the park to be patrol is realized. Therefore, the point location patrol method applied to the campus patrol can improve the patrol effect of the campus.
Fig. 2 is a functional block diagram of a point location patrol system applied to a campus patrol according to an embodiment of the present invention.
The point location patrol system 200 applied to the campus patrol can be installed in electronic equipment. Depending on the implementation, the spot patrol system 200 applied under the campus patrol may include a campus scene modeling module 201, a history anomaly identification module 202, a patrol equipment construction module 203, a patrol route construction module 204, and a patrol anomaly identification module 205. The module of the invention, which may also be referred to as a unit, refers to a series of computer program segments, which are stored in the memory of the electronic device, capable of being executed by the processor of the electronic device and of performing a fixed function.
In the present embodiment, the functions concerning the respective modules/units are as follows:
The park scene modeling module 201 is configured to obtain park scene data and park history tour-inspection data of a park to be tour-inspected, analyze a park structure of the park to be tour-inspected based on the park scene data, and construct a park modeling scene of the park to be tour-inspected based on the park structure;
The historical anomaly identification module 202 is configured to identify a historical campus anomaly state of the to-be-inspected campus based on the campus historical inspection data, unitize the campus modeling scene to obtain a campus modeling scene unit, and mark an anomaly frequent area of the to-be-inspected campus based on the historical campus anomaly state and the campus modeling scene unit;
The patrol equipment construction module 203 is configured to calculate a patrol convenience coefficient of a park unit corresponding to the abnormal frequent area based on the park modeling scene unit, determine a park patrol point of the park to be patrol based on the patrol convenience coefficient, and configure park patrol equipment of the park to be patrol based on the park patrol point;
The patrol route construction module 204 is configured to identify abnormal frequent features of the abnormal frequent region, construct patrol time-frequency resources of the campus patrol equipment corresponding to the campus patrol point based on the abnormal frequent features, and construct a patrol route of the to-be-patrol campus based on the patrol time-frequency resources and the campus modeling scene unit;
The inspection anomaly identification module 205 is configured to collect the campus inspection data of the to-be-inspected campus based on the inspection route, identify the inspection characteristics of the campus inspection data, identify the anomaly coefficient of the to-be-inspected campus by using the trained inspection anomaly identification model based on the inspection characteristics, and construct the campus inspection report of the to-be-inspected campus based on the anomaly coefficient.
In detail, each module in the spot patrol system 200 applied to the campus patrol in the embodiment of the present invention adopts the same technical means as the spot patrol method applied to the campus patrol in the drawings when in use, and can produce the same technical effects, which are not repeated here.
The embodiment of the invention provides electronic equipment for realizing a point location patrol method applied to campus patrol.
Referring to fig. 3, the electronic device may include a processor 30, a memory 31, a communication bus 32, and a communication interface 33, and may further include a computer program stored in the memory 31 and executable on the processor 30, such as a spot patrol method program applied under a campus patrol.
The processor may be formed by an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or may be formed by a plurality of integrated circuits packaged with the same function or different functions, including one or more central processing units (Central Processing Unit, CPU), microprocessors, digital processing chips, graphics processors, and combinations of various control chips. The processor is a Control Unit (Control Unit) of the electronic device, connects various components of the entire electronic device using various interfaces and lines, and executes various functions of the electronic device and processes data by running or executing programs or modules stored in the memory (e.g., executing a spot patrol program applied under a campus patrol, etc.), and calling data stored in the memory.
The memory includes at least one type of readable storage medium including flash memory, removable hard disk, multimedia card, card memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disk, optical disk, etc. The memory may in some embodiments be an internal storage unit of the electronic device, such as a mobile hard disk of the electronic device. The memory may also be an external storage device of the electronic device in other embodiments, such as a plug-in mobile hard disk, a smart memory card (SMART MEDIA CARD, SMC), a Secure Digital (SD) card, a flash memory card (FLASH CARD), etc. that are provided on the electronic device. Further, the memory may also include both internal storage units and external storage devices of the electronic device. The memory may be used not only for storing application software installed in an electronic device and various types of data, for example, codes based on a spot patrol program applied under a campus patrol, etc., but also for temporarily storing data that has been output or is to be output.
The communication bus may be a peripheral component interconnect standard (PERIPHERAL COMPONENT INTERCONNECT, PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, or the like. The bus may be classified as an address bus, a data bus, a control bus, etc. The bus is arranged to enable a connection communication between the memory and at least one processor or the like.
The communication interface is used for communication between the electronic equipment and other equipment, and comprises a network interface and a user interface. Optionally, the network interface may include a wired interface and/or a wireless interface (e.g., WI-FI interface, bluetooth interface, etc.), typically used to establish a communication connection between the electronic device and other electronic devices. The user interface may be a Display (Display), an input unit such as a Keyboard (Keyboard), or alternatively a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like. The display may also be referred to as a display screen or display unit, as appropriate, for displaying information processed in the electronic device and for displaying a visual user interface.
For example, although not shown, the electronic device may further include a power source (such as a battery) for powering the respective components, and preferably, the power source may be logically connected to the at least one processor through a power management system, so as to perform functions of charge management, discharge management, and power consumption management through the power management system. The power supply may also include one or more of any of a direct current or alternating current power supply, a recharging system, a power failure detection circuit, a power converter or inverter, a power status indicator, and the like. The electronic device may further include various sensors, bluetooth modules, wi-Fi modules, etc., which are not described herein.
It should be understood that the embodiments described are for illustrative purposes only and are not limited to this configuration in the scope of the patent application.
The point location patrol program stored in the memory and applied to the campus patrol in the electronic device is a combination of a plurality of instructions, and when running in the processor, the method can be implemented:
acquiring park scene data and park history patrol data of a park to be patrol, analyzing a park structure of the park to be patrol based on the park scene data, and constructing a park modeling scene of the park to be patrol based on the park structure;
Identifying the historical park abnormal state of the park to be inspected based on the park historical inspection data, unitizing the park modeling scene to obtain a park modeling scene unit, and marking the abnormal frequent area of the park to be inspected based on the historical park abnormal state and the park modeling scene unit;
Calculating a patrol convenience coefficient of the park unit corresponding to the abnormal frequent area based on the park modeling scene unit, determining a park patrol point of the park to be patrol based on the patrol convenience coefficient, and configuring park patrol equipment of the park to be patrol based on the park patrol point;
Identifying abnormal frequent characteristics of the abnormal frequent areas, constructing patrol time-frequency resources of patrol equipment corresponding to the park patrol points based on the abnormal frequent characteristics, and constructing a patrol route of the park to be patrol based on the patrol time-frequency resources and the park modeling scene unit;
Based on the patrol route, collecting park patrol data of the park to be patrol, identifying patrol characteristics of the park patrol data, based on the patrol characteristics, identifying abnormal coefficients of the park to be patrol by using a trained patrol abnormal identification model, and constructing a park patrol report of the park to be patrol based on the abnormal coefficients.
Specifically, the specific implementation method of the above instruction by the processor may refer to descriptions of related steps in the corresponding embodiment of the drawings, which are not repeated herein.
Further, the electronic device integrated modules/units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. The computer readable storage medium may be volatile or nonvolatile. For example, the computer readable medium may include: any entity or system capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM).
The present invention also provides a computer readable storage medium storing a computer program which, when executed by a processor of an electronic device, can implement:
acquiring park scene data and park history patrol data of a park to be patrol, analyzing a park structure of the park to be patrol based on the park scene data, and constructing a park modeling scene of the park to be patrol based on the park structure;
Identifying the historical park abnormal state of the park to be inspected based on the park historical inspection data, unitizing the park modeling scene to obtain a park modeling scene unit, and marking the abnormal frequent area of the park to be inspected based on the historical park abnormal state and the park modeling scene unit;
Calculating a patrol convenience coefficient of the park unit corresponding to the abnormal frequent area based on the park modeling scene unit, determining a park patrol point of the park to be patrol based on the patrol convenience coefficient, and configuring park patrol equipment of the park to be patrol based on the park patrol point;
Identifying abnormal frequent characteristics of the abnormal frequent areas, constructing patrol time-frequency resources of patrol equipment corresponding to the park patrol points based on the abnormal frequent characteristics, and constructing a patrol route of the park to be patrol based on the patrol time-frequency resources and the park modeling scene unit;
Based on the patrol route, collecting park patrol data of the park to be patrol, identifying patrol characteristics of the park patrol data, based on the patrol characteristics, identifying abnormal coefficients of the park to be patrol by using a trained patrol abnormal identification model, and constructing a park patrol report of the park to be patrol based on the abnormal coefficients.
In the several embodiments provided by the present invention, it should be understood that the disclosed apparatus, system and method may be implemented in other manners. For example, the system embodiments described above are merely illustrative, e.g., the division of the modules is merely a logical function division, and other manners of division may be implemented in practice.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units can be realized in a form of hardware or a form of hardware and a form of software functional modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof.
The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
The embodiment of the application can acquire and process the related data based on the artificial intelligence technology. Wherein artificial intelligence (ARTIFICIAL INTELLIGENCE, AI) is the theory, method, technique, and application system that uses a digital computer or a digital computer-controlled machine to simulate, extend, and expand human intelligence, sense the environment, acquire knowledge, and use knowledge to obtain optimal results.
Furthermore, it is evident that the word "comprising" does not exclude other elements or steps, and that the singular does not exclude a plurality. Multiple units or systems as set forth in the system claims may also be implemented by means of one unit or system in software or hardware. The terms first, second, etc. are used to denote a name, but not any particular order.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (10)
1. A point location patrol method applied to a campus patrol, the method comprising:
acquiring park scene data and park history patrol data of a park to be patrol, analyzing a park structure of the park to be patrol based on the park scene data, and constructing a park modeling scene of the park to be patrol based on the park structure;
Identifying the historical park abnormal state of the park to be inspected based on the park historical inspection data, unitizing the park modeling scene to obtain a park modeling scene unit, and marking the abnormal frequent area of the park to be inspected based on the historical park abnormal state and the park modeling scene unit;
Calculating a patrol convenience coefficient of the park unit corresponding to the abnormal frequent area based on the park modeling scene unit, determining a park patrol point of the park to be patrol based on the patrol convenience coefficient, and configuring park patrol equipment of the park to be patrol based on the park patrol point;
Identifying abnormal frequent characteristics of the abnormal frequent areas, constructing patrol time-frequency resources of patrol equipment corresponding to the park patrol points based on the abnormal frequent characteristics, and constructing a patrol route of the park to be patrol based on the patrol time-frequency resources and the park modeling scene unit;
Based on the patrol route, collecting park patrol data of the park to be patrol, identifying patrol characteristics of the park patrol data, based on the patrol characteristics, identifying abnormal coefficients of the park to be patrol by using a trained patrol abnormal identification model, and constructing a park patrol report of the park to be patrol based on the abnormal coefficients.
2. The spot patrol method applied under the campus patrol as recited in claim 1, wherein the analyzing the campus structure of the to-be-patrol campus based on the campus scene data comprises:
Preprocessing the park scene data to obtain processed park scene data;
Identifying scene structure data of the processing park scene data;
analyzing the structural geometric characteristics of the to-be-inspected park based on the scene structure data;
and determining the park structure of the to-be-patrolled-examined park based on the structural geometric features.
3. The spot patrol method applied under the campus patrol as recited in claim 1, wherein the constructing the campus modeling scene of the to-be-patrol campus based on the campus structure comprises:
Constructing a digital map of the park to be patrolled and examined based on the park structure;
constructing a three-dimensional foundation of the park to be inspected based on the digital map;
based on the park scene data corresponding to the to-be-inspected park, refining the three-dimensional foundation of the park to obtain a park modeling scene of the to-be-inspected park.
4. The spot patrol method applied under the campus patrol as recited in claim 1, wherein the identifying the historical campus abnormal state of the to-be-patrol campus based on the campus historical patrol data comprises:
Identifying a park risk factor of the park to be patrolled and examined;
serializing the park historical patrol data to obtain serial historical patrol data;
Analyzing the sequence risk state of the park risk factor based on the sequence historical patrol data;
constructing a risk state curve of the to-be-inspected park based on the sequence risk state;
And determining the abnormal state of the historical park of the park to be patrolled and examined based on the risk state curve.
5. The spot patrol method applied under the campus patrol as recited in claim 4, wherein the determining the historical campus abnormal state of the to-be-patrol campus based on the risk state curve comprises:
Identifying a curve fluctuation region of the risk status curve;
Identifying the fluctuation characteristics of the curve fluctuation area;
calculating an anomaly coefficient of the curve fluctuation region based on the fluctuation feature;
And analyzing the abnormal state of the historical park of the park to be patrolled and examined based on the abnormal coefficient.
6. The spot patrol method applied to the campus patrol as recited in claim 5, wherein the calculating the anomaly coefficient of the curve fluctuation zone based on the fluctuation feature comprises:
identifying the fluctuation amplitude and the fluctuation time of the curve fluctuation area based on the fluctuation characteristics;
Based on the fluctuation amplitude and the fluctuation time, an anomaly coefficient of the curve fluctuation region is calculated using the following formula:
；
Wherein, Abnormal coefficient representing curve fluctuation area,/>Representing the fluctuation amplitude of the curve fluctuation zone,/>Representing the corresponding production curve of the curve fluctuation area,/>Angular frequency representing a risk status curve corresponding to a moving user,/>Wave peak value representing corresponding wave amplitude of curve wave area,/>Wave trough representing corresponding wave amplitude of curve wave region,/>Representing the fluctuation time of the fluctuation zone of the curve.
7. The spot patrol method applied to the campus patrol as recited in claim 1, wherein the calculating the patrol convenience coefficient of the corresponding campus unit in the abnormal frequent area based on the campus modeling scene unit comprises:
identifying a campus cell feature of the campus cell;
analyzing a convenience influence factor of the park unit based on the park unit characteristics;
identifying a convenient influence relationship between the convenient influence factor and the campus unit;
Based on the park unit characteristics, the convenient influence factors and the convenient influence relation, the patrol convenient coefficient of the park unit corresponding to the abnormal frequent area is calculated.
8. The spot patrol method applied under the campus patrol of claim 7, wherein the calculating the patrol convenience coefficient of the corresponding campus unit of the abnormal frequent area based on the characteristic of the campus unit, the convenience influence factor and the convenience influence relation comprises:
identifying a factor state of the convenience impact factor based on the campus unit feature;
based on the factor state and the convenience influence relation, weighting the convenience influence weight of the convenience influence factor;
Based on the convenience influence weight and the factor state, the patrol convenience coefficient of the park unit corresponding to the abnormal frequent area is calculated by using the following formula:
；
Wherein, The patrol convenience coefficient of the park unit is expressed by the formula/>Represent campus Unit No./>Factor state of convenience influencing factor,/>Represent campus Unit No./>Convenience influence weight of convenience influence factorRepresenting uncontrollable influence coefficients of a park unit,/>And representing the number of the park units corresponding to the convenience influence factors.
9. The spot patrol method applied to the campus patrol as recited in claim 1, wherein the constructing patrol time-frequency resources of the corresponding campus patrol equipment of the campus patrol spot based on the abnormal frequent characteristic comprises:
identifying a network interface of the campus patrol equipment;
Determining a network protocol of the campus patrol equipment based on the network interface;
Constructing a collaborative patrol network of the campus patrol equipment based on the network protocol;
Determining patrol parameters of the campus patrol equipment based on the collaborative patrol network and the Chang Pin send features;
And constructing the patrol time-frequency resource of the park patrol equipment corresponding to the park patrol point based on the patrol parameters.
10. A spot patrol system for use under a campus patrol, for performing the spot patrol method for use under a campus patrol according to any one of claims 1-9, the system comprising:
The park scene modeling module is used for acquiring park scene data and park history patrol data of a park to be patrol, analyzing a park structure of the park to be patrol based on the park scene data, and constructing a park modeling scene of the park to be patrol based on the park structure;
The historical anomaly identification module is used for identifying the historical park anomaly state of the park to be inspected based on the park historical inspection data, unitizing the park modeling scene to obtain a park modeling scene unit, and marking the anomaly frequent area of the park to be inspected based on the historical park anomaly state and the park modeling scene unit;
the patrol equipment construction module is used for calculating patrol convenience coefficients of the park units corresponding to the abnormal frequent areas based on the park modeling scene units, determining park patrol points of the park to be patrol based on the patrol convenience coefficients, and configuring park patrol equipment of the park to be patrol based on the park patrol points;
The patrol route construction module is used for identifying abnormal frequent characteristics of the abnormal frequent areas, constructing patrol time-frequency resources of the park patrol equipment corresponding to the park patrol points based on the abnormal frequent characteristics, and constructing the patrol route of the park to be patrol based on the patrol time-frequency resources and the park modeling scene unit;
the patrol anomaly identification module is used for acquiring the park patrol data of the park to be patrol based on the patrol route, identifying the patrol characteristics of the park patrol data, identifying the anomaly coefficient of the park to be patrol based on the patrol characteristics by utilizing the trained patrol anomaly identification model, and constructing the park patrol report of the park to be patrol based on the anomaly coefficient.
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