CN113447886B - Data quality monitoring method and device for scene multipoint positioning system and electronic equipment - Google Patents
Data quality monitoring method and device for scene multipoint positioning system and electronic equipment Download PDFInfo
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Abstract
The application relates to the technical field of airport monitoring, and discloses a data quality monitoring method and device for a scene multipoint positioning system and electronic equipment, wherein the method comprises the following steps: acquiring a working state message output by a scene multipoint positioning system and a target message aiming at a specified target; the working state message comprises working state information representing whether the working state of each device in the system is abnormal or not, and the target message comprises positioning related information obtained by positioning a specified target by the system; determining whether key indexes for measuring the working states of all the devices are normal or not based on the acquired working state messages; determining whether a key index for measuring the positioning accuracy of the system is normal or not based on the acquired target message; determining a data quality score corresponding to the scene multipoint positioning system based on the judging result of whether each key index is normal or not and the weight corresponding to each key index; and if the data quality score meets the alarm condition, outputting alarm prompt information representing abnormal data quality.
Description
Technical Field
The present application relates to the field of airport monitoring technologies, and in particular, to a method and an apparatus for monitoring data quality of a scene multipoint positioning system, and an electronic device.
Background
The multipoint positioning system is a system for realizing the positioning of a monitoring target by utilizing a plurality of ground stations to receive the same response signal transmitted by the monitoring target and calculating the time difference received by each ground station. The multi-point positioning system is used as a future air traffic control monitoring new technology, has the advantages of high positioning precision, high data rate, good expandability, no influence of weather, no need of refitting the existing aircraft and the like, can greatly improve the effectiveness and reliability of monitoring under all-weather environmental conditions, is a main development direction of the current civil aviation monitoring technology, and is actively promoted to be applied in a plurality of countries and regions abroad.
The scene multipoint positioning system is applied to airports with complex airport scene running environments, provides richer and more complete monitoring information for airport scene monitoring, guiding and controlling, improves the positioning precision of scene moving targets and realizes the monitoring of airport scene active areas. At present, more than twenty large and medium airports in China are deployed with a scene multipoint positioning system for deployment and construction.
The scene multipoint positioning system has the advantages of high data updating rate, high positioning accuracy and recognition capability. In view of the advantages, the current domestic advanced scene activity guiding and controlling automation system and scene monitoring convergence system commonly guide scene multipoint positioning system monitoring data to carry out track fusion, and also bring about difficulty in monitoring the quality of the monitoring data source data. Abnormal data output of the multi-point positioning monitoring source can cause the back-end system to generate fusion track target splitting, position jump and false targets, and the abnormal conditions can seriously affect real-time command of the controllers on the aircraft.
Disclosure of Invention
The embodiment of the application provides a data quality monitoring method, a data quality monitoring device, electronic equipment and a storage medium for a scene multipoint positioning system, which are used for monitoring and evaluating the positioning accuracy of the scene multipoint positioning system and assisting technical maintenance personnel in timely finding abnormal conditions in the scene multipoint positioning system.
In one aspect, an embodiment of the present application provides a method for monitoring data quality of a scene multipoint positioning system, including:
Acquiring a working state message output by a scene multipoint positioning system and a target message aiming at a specified target; the working state message comprises working state information representing whether the working state of each device in the scene multipoint positioning system is abnormal or not, and the target message comprises positioning related information obtained by the scene multipoint positioning system for positioning the specified target;
determining whether key indexes for measuring the working states of all the devices are normal or not based on the acquired working state messages;
determining whether a key index for measuring the positioning accuracy of the system is normal or not based on the acquired target message;
Determining a data quality score corresponding to the scene multipoint positioning system based on a judging result of whether each key index is normal or not and weights corresponding to each key index respectively;
and if the data quality score meets the alarm condition, outputting alarm prompt information representing abnormal data quality.
Optionally, the target message includes a target positioning position and position precision of the specified target and a site identifier of a ground receiving station participating in positioning, and the key index for measuring the positioning accuracy of the system includes positioning precision;
The determining whether each key index for measuring the positioning accuracy of the system is normal based on the obtained target message comprises the following steps:
Acquiring the position information of a ground receiving station participating in positioning according to the station identification in the target message;
determining the positioning precision of the scene multipoint positioning system for positioning the specified target according to the position information of the ground receiving station participating in positioning and the target positioning position of the specified target;
If the positioning precision is inconsistent with the position precision, determining that the positioning precision of the scene multipoint positioning system is abnormal.
Optionally, the determining the positioning accuracy of the scene multipoint positioning system to position the specified target according to the position information of the ground receiving station participating in positioning and the target positioning position of the specified target includes:
Determining a geometric precision factor GDOP according to the position information of the ground receiving stations participating in positioning and the target positioning position of the specified target;
And determining the positioning precision of the scene multipoint positioning system for positioning the specified target according to the geometric precision factor GDOP and the pseudo-range measurement noise, wherein the pseudo-range measurement noise is determined according to the system parameters of the scene multipoint positioning system.
Optionally, the key indicator for measuring the positioning accuracy of the system includes at least one of a target message update rate, a target message identification rate and a system processing delay;
When the key indexes for measuring the positioning accuracy of the system comprise the target message update rate, determining whether each key index for measuring the positioning accuracy of the system is normal or not based on the obtained target message comprises the following steps: determining a target message update rate according to the number of target messages output by the scene multipoint positioning system in unit time length, if the target message update rate is smaller than an update rate threshold value, determining that the target message update rate is abnormal, otherwise, determining that the target message update rate is normal;
when the key indexes for measuring the positioning accuracy of the system comprise the target message identification rate, determining whether each key index for measuring the positioning accuracy of the system is normal or not based on the obtained target message comprises the following steps: determining a target message recognition rate according to the number of target messages which are output by the scene multipoint positioning system and contain recognition information in unit time length, if the target message recognition rate is smaller than a recognition rate threshold value, determining that the target message recognition rate is abnormal, otherwise, determining that the target message recognition rate is normal, wherein the recognition information represents that a specified target can be recognized;
when the key indexes for measuring the positioning accuracy of the system comprise system processing delay, determining whether each key index for measuring the positioning accuracy of the system is normal or not based on the obtained target message comprises the following steps:
And obtaining system processing delay according to the time difference between the time when the response signal of the specified target reaches each ground receiving station and the output time of the target message, if the system processing delay is greater than a delay threshold value, determining that the system processing delay is abnormal, otherwise, determining that the system processing delay is normal.
Optionally, the key indicator for measuring the positioning accuracy of the system includes whether the designated data in the target message hops, wherein the designated data includes at least one of a target positioning position and an identification number, and the identification number is a flight identifier allocated to each target;
When the specified data includes a target positioning position, determining whether each key indicator for measuring the positioning accuracy of the system is normal based on the obtained target message includes:
predicting a future motion trail of the specified target according to the obtained target positioning position of the specified target, judging whether the target positioning position in a subsequently received target message is jumped or not based on the predicted motion trail, and if so, determining that the target positioning position is abnormal;
When the specified data includes an identification number, the determining whether each key indicator for measuring the positioning accuracy of the system is normal based on the obtained target message includes:
Detecting whether the identification number in the target message aiming at the designated target changes, and if so, determining that the identification number is abnormal.
Optionally, the determining the data quality score corresponding to the scene multipoint positioning system based on the judging result of whether each key indicator is normal or not and the weights corresponding to each key indicator respectively includes:
determining a data quality score Q corresponding to the scene multipoint positioning system based on the following formula:
Wherein q n is the weight corresponding to the nth key indicator, a n =0 when the nth key indicator is normal, a n =1 when the nth key indicator is abnormal;
The alarm condition includes: the data quality score Q is greater than a preset threshold.
Optionally, the working state message is ASTERIXCAT message, and the target message is ASTERIX CAT message.
In one aspect, an embodiment of the present application provides a data quality monitoring device for a scene multipoint positioning system, including:
The message acquisition module is used for acquiring a working state message output by the scene multipoint positioning system and a target message aiming at a specified target; the working state message comprises working state information representing whether the working state of each device in the scene multipoint positioning system is abnormal or not, and the target message comprises positioning related information obtained by the scene multipoint positioning system for positioning the specified target;
The working state analysis module is used for determining whether key indexes for measuring the working states of all the equipment are normal or not based on the acquired working state messages;
the monitoring data analysis module is used for determining whether key indexes for measuring the positioning accuracy of the system are normal or not based on the acquired target message;
The data quality analysis module is used for determining the data quality score corresponding to the scene multipoint positioning system based on the judging result of whether each key index is normal or not and the weight corresponding to each key index;
and the alarm module is used for outputting alarm prompt information representing abnormal data quality if the data quality score meets the alarm condition.
In one aspect, an embodiment of the present application provides an electronic device including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of any of the methods described above when the processor executes the computer program.
In one aspect, an embodiment of the present application provides a computer-readable storage medium having stored thereon computer program instructions which, when executed by a processor, perform the steps of any of the methods described above.
In one aspect, an embodiment of the present application provides a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The computer instructions are read from a computer-readable storage medium by a processor of a computer device, and executed by the processor, cause the computer device to perform the methods provided in various alternative implementations of control of any of the TCP transmission capabilities described above.
The method, the device, the electronic equipment and the storage medium for monitoring the data quality of the scene multipoint positioning system provided by the embodiment of the application analyze key data items in the messages output by the scene multipoint positioning system in real time so as to monitor and evaluate the positioning accuracy of the scene multipoint positioning system, can assist technical maintenance personnel to timely find abnormal conditions occurring in the scene multipoint positioning system, provide a feasible and effective monitoring mode for promoting the wide application of scene multipoint positioning monitoring data, and have a certain application value in empty pipe units or local towers. The accuracy of the monitoring data output by the scene multipoint positioning system can be improved, and the utilization efficiency and the operation stability of the advanced scene activity guiding and controlling automation system and the scene monitoring convergence system which use the monitoring data are further improved.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic diagram of an application scenario of a data quality monitoring method of a scene multipoint positioning system according to an embodiment of the present application;
FIG. 2 is a schematic flow chart of a method for monitoring data quality of a scene multipoint positioning system according to an embodiment of the present application;
FIG. 3 is a schematic flow chart of determining whether positioning accuracy is normal according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a data quality monitoring device of a scene multipoint positioning system according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
It should be noted that, without conflict, the following embodiments and features in the embodiments may be combined with each other; and, based on the embodiments in this disclosure, all other embodiments that may be made by one of ordinary skill in the art without inventive effort are within the scope of the present disclosure.
It is noted that various aspects of the embodiments are described below within the scope of the following claims. It should be apparent that the aspects described herein may be embodied in a wide variety of forms and that any specific structure and/or function described herein is merely illustrative. Based on the present disclosure, one skilled in the art will appreciate that one aspect described herein may be implemented independently of any other aspect, and that two or more of these aspects may be combined in various ways. For example, an apparatus may be implemented and/or a method practiced using any number of the aspects set forth herein. In addition, such apparatus may be implemented and/or such methods practiced using other structure and/or functionality in addition to one or more of the aspects set forth herein.
Any number of elements in the figures are for illustration and not limitation, and any naming is used for distinction only and not for any limiting sense.
Referring to fig. 1, a schematic diagram of an application scenario of a scene multipoint positioning system according to an embodiment of the present application is shown. The scene multipoint positioning system in the application scene comprises a plurality of ground receiving stations, a reference transponder, an inquiry transmitting station, a central processing server and a monitoring subsystem, wherein the ground receiving stations are respectively arranged at different positions in an airport scene area, and the reference transponder is arranged at a fixed position in the airport scene area. The monitoring subsystem can send various control instructions to various devices (including devices such as a ground receiving station, a reference transponder, an inquiry transmitting station and a central processing server) in the scene multipoint positioning system, so that a worker can conveniently control the scene multipoint positioning system, for example, the operation mode of the various devices in the scene multipoint positioning system can be switched to be active or standby, a restarting operation instruction is issued to the various devices of the scene multipoint positioning system, and hardware and software states of various monitored objects (various devices) in the scene multipoint positioning system are obtained. The central processing server controls the inquiry transmitting station to transmit an inquiry signal with a designated frequency to a target aircraft on an airport scene, and the on-board transponder of the target aircraft transmits a response signal after receiving the inquiry signal, and at the same time, the reference transponder feeds back a reference correction signal after receiving the inquiry signal. Each ground receiving station receives the response signal fed back by the on-board transponder and the reference correction signal fed back by the reference transponder, analyzes the received signals, determines the signal receiving time and feeds back the signal receiving time to the central processing server. The central processing server is used for accurately measuring and positioning a target aircraft based on the time difference of receiving response signals of all the ground receiving stations and outputting a target message aiming at the target aircraft, wherein the target message comprises positioning related information obtained by a scene multipoint positioning system for positioning a specified target, and in the positioning process, the central processing server can be used for correcting a positioning result based on the time difference of receiving reference correction signals of all the ground receiving stations. In addition, the central processing server outputs a working state message aiming at the scene multipoint positioning system, wherein the working state message comprises working state information representing whether the working state of each device in the scene multipoint positioning system is abnormal or not so as to monitor the state of the scene multipoint positioning system. Communication between the scene multipoint positioning system and the monitoring subsystem may be via Simple Network Management Protocol (SNMP).
The central processing server may be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server providing cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDNs, basic cloud computing services such as big data and artificial intelligence platforms.
Of course, the method provided by the embodiment of the present application is not limited to the application scenario shown in fig. 1, but may be used in other possible application scenarios, and the embodiment of the present application is not limited. The functions that can be implemented by each device in the application scenario shown in fig. 1 will be described together in the following method embodiments, which are not described in detail herein.
In order to further explain the technical solution provided by the embodiments of the present application, the following details are described with reference to the accompanying drawings and the detailed description. Although embodiments of the present application provide the method operational steps shown in the following embodiments or figures, more or fewer operational steps may be included in the method, either on a routine or non-inventive basis. In steps where there is logically no necessary causal relationship, the execution order of the steps is not limited to the execution order provided by the embodiments of the present application.
The technical scheme provided by the embodiment of the application is described below with reference to an application scenario shown in fig. 1.
Referring to fig. 2, an embodiment of the present application provides a data quality monitoring method for a scene multipoint positioning system, including the following steps:
S201, acquiring a working state message output by the scene multipoint positioning system and a target message aiming at a specified target.
The working state message comprises working state information representing whether the working state of each device in the scene multipoint positioning system is abnormal or not, and the target message comprises positioning related information obtained by the scene multipoint positioning system for positioning a specified target. The designated object may be any transponder-carrying moving object in an airport scene, such as an airplane, a vehicle, or the like.
In particular, the scene multipoint positioning system may generate various messages based on ASTERIX protocols, for example, the target message for the specified target is ASTERIX CAT message, and the working state message is ASTERIX CAT message. ASTERIX (All purpose Structured Euro-control Radar Information exchange format) is based on a structured protocol defined by European aviation security organization for radar data transmission and exchange, the protocol defines a frame structure of monitoring data coding, has the advantages of uniform format, easy expansion and the like, and can support information exchange among different monitoring devices according to agreed formats. Currently, ASTERIX protocols become international standards, and cover monitoring devices such as primary field monitoring radar, secondary radar, multi-point positioning systems, and related devices such as air traffic control automation, field monitoring and convergence systems, data centers, and the like. The contents contained in ASTERIX CAT and ASTERIX CAT19 messages can be referred to the ASTERIX protocol, and the ASTERIX CAT message generally should contain at least the following data items: target report description, target location, identification code (3/a mode code), measurement altitude, time of day, track number, track status, aircraft address code (TARGET ADDRESS), position accuracy (Position Accuracy), etc.; the ASTERIX CAT message should at least contain the following data items: message type, data source identification, time of day, system status, etc.
S202, determining whether key indexes for measuring the working states of all the devices are normal or not based on the acquired working state messages.
Specifically, the working status message includes, but is not limited to: the working state of the whole system, the working state of a central processing server, the working state of a ground receiving station, the working state of a reference transponder, the working state of an inquiry transmitting station and the like. The key indexes for measuring the working states of the equipment comprise at least one of the following: the system working state index, the central processing server working state index, the ground receiving station working state index, the reference transponder working state index and the query transmitting station working state index.
S203, determining whether a key index for measuring the positioning accuracy of the system is normal or not based on the acquired target message.
Specifically, the target message for the specified target includes, but is not limited to: target location, identification code, aircraft address code, location accuracy, station identification of ground receiving stations involved in the location, etc. The key indexes for measuring the positioning accuracy of the system comprise at least one of the following: positioning accuracy, target message update rate, target message identification rate, system processing delay, whether jump occurs in designated data in the target message and the like, and the positioning accuracy of the scene multipoint positioning system can be measured based on the key indexes.
S204, determining the data quality scores corresponding to the scene multipoint positioning system based on the judging result of whether each key index is normal or not and the weights corresponding to each key index.
Specifically, the data quality score Q corresponding to the scene multipoint positioning system may be determined based on the following formula:
Wherein q n is the weight corresponding to the nth key indicator, a n =0 when the nth key indicator is normal, and a n =1 when the nth key indicator is abnormal. The weights corresponding to the key indexes can be set according to actual application requirements, and are not limited herein. The higher the data quality score Q, the more abnormal the scene multipoint positioning system is, indicating that the scene multipoint positioning system gives worse data quality.
Of course, based on the above formula, the following definition can be made for a n: when the nth key index is normal, a n =1, when the nth key index is abnormal, a n =0, and at the moment, the higher the data quality score Q is, the fewer abnormal conditions of the scene multipoint positioning system are, which indicates that the better the data quality given by the scene multipoint positioning system is.
S205, if the data quality score meets the alarm condition, outputting alarm prompt information representing abnormal data quality.
If employedAnd determining a data quality score Q, wherein a n =0 when the nth key index is normal, a n =1 when the nth key index is abnormal, and the alarm condition can be that the data quality score Q is larger than a preset threshold value. If employedAnd determining a data quality score Q, wherein a n =1 when the nth key index is normal, a n =0 when the nth key index is abnormal, and the alarm condition can be that the data quality score Q is larger than a preset threshold value. The preset threshold may be set based on actual application requirements, which is not limited herein.
In specific implementation, the output alarm prompt information can comprise key indexes of abnormality to assist technical maintenance personnel to accurately locate equipment with abnormality in the scene multipoint positioning system and reasons for abnormality generation.
The data quality monitoring method of the scene multipoint positioning system provided by the embodiment of the application analyzes key data items in the message output by the scene multipoint positioning system in real time so as to monitor and evaluate the positioning accuracy of the scene multipoint positioning system, can assist technical maintenance personnel to discover abnormal conditions occurring in the scene multipoint positioning system in time, provides a feasible and effective monitoring mode for promoting the wide application of scene multipoint positioning monitoring data, and has a certain application value in empty pipe units or local towers. The accuracy of the monitoring data output by the scene multipoint positioning system can be improved, and the utilization efficiency and the operation stability of the advanced scene activity guiding and controlling automation system and the scene monitoring convergence system which use the monitoring data are further improved.
The following describes a specific method for determining whether each key indicator measuring the positioning accuracy of the system is normal.
Referring to fig. 3, it can be determined whether the positioning accuracy is normal by:
s301, acquiring the position information of the ground receiving stations participating in positioning according to the station identification in the target message.
Wherein each ground receiving station corresponds to a unique station identification. And when each positioning is performed, all or part of the ground receiving stations participate in positioning calculation, and the central processing server records the station identification of the ground receiving stations participating in positioning and adds the station identification to the corresponding target message. After one-time positioning for one target is completed, the central processing server outputs a corresponding target message.
The site identification and the position information of each ground receiving station can be stored in advance, and the position information of the ground receiving stations participating in positioning can be acquired according to the site identification in the target message.
S302, determining the positioning precision of the scene multipoint positioning system for positioning the appointed target according to the position information of the ground receiving stations participating in positioning and the target positioning position of the appointed target.
The target positioning position is real-time position coordinates of a specified target calculated by the scene multipoint positioning system based on response signals of ground receiving stations participating in positioning. The positioning accuracy is used for measuring the accuracy of the target positioning position given by the scene multipoint positioning system.
In specific implementation, step S302 specifically includes: determining a geometric precision factor GDOP according to the position information of the ground receiving stations participating in positioning and the target positioning position of the designated target; and determining the positioning precision of the scene multipoint positioning system for positioning the specified target according to the geometric precision factor GDOP and the pseudo-range measurement noise.
The pseudo-range measurement noise is determined according to system parameters of the scene multipoint positioning system, and specifically, the pseudo-range measurement noise is generally determined by factors such as hardware performance of a ground receiving station and synchronization accuracy degree of the scene multipoint positioning system. The GDOP is determined by the topology structure of the target positioning position of each ground receiving station participating in positioning relative to the designated target, and the method for calculating the GDOP is the prior art and will not be described in detail. Specifically, the positioning accuracy RMSE may be determined by the following formula: rmse=gdop×σ TDOA ×c, where C represents the speed of light and σ TDOA represents the pseudorange measurement noise.
S303, if the positioning precision and the position precision are inconsistent, determining that the positioning precision of the scene multipoint positioning system is abnormal.
If the positioning precision obtained by the calculation in the step S302 is inconsistent with the position precision in the target message, determining that the positioning precision of the scene multipoint positioning system is abnormal; if the positioning accuracy obtained by the calculation in the step S302 is consistent with the position accuracy in the target message, the positioning accuracy of the scene multipoint positioning system is determined to be normal.
In the process of positioning the specified target, the scene multipoint positioning system can determine the real-time position of the specified target in a short time interval, and the real-time performance and accuracy of positioning are ensured. Therefore, whether the specified target is positioned in real time is measured by the target message update rate, which is also a key index for measuring the system data quality.
Specifically, whether the update rate of the target message is normal can be determined by the following method: and determining the update rate of the target message according to the number of the target messages output by the scene multipoint positioning system in the unit time length, if the update rate of the target message is smaller than the update rate threshold value, determining that the update rate of the target message is abnormal, otherwise, determining that the update rate of the target message is normal. The update rate threshold may be determined according to a time interval between two fixes set by the scene multipoint positioning system.
The target message sent by the scene multipoint positioning system includes identification information representing that the specified target can be identified, for example Target Identification and Mode-3/A Code in Octal Representation in ASTERIX CAT message are identification information, if the target message includes identification information, the target message has identification capability, that is, the system can successfully locate the specified target, otherwise, the system can not locate the specified target.
Based on the method, the target message recognition rate can be determined according to the number of the target messages which contain the recognition information and are output by the scene multipoint positioning system in the unit time length, if the target message recognition rate is smaller than the recognition rate threshold value, the target message recognition rate is determined to be abnormal, otherwise, the target message recognition rate is determined to be normal. The recognition rate threshold can be set according to actual application requirements. And measuring the capability of the scene multipoint positioning system for identifying the specified target through the target message identification rate.
When the scene multipoint positioning system performs each positioning, the scene multipoint positioning system needs to take a certain time to process, and if the processing time is long, problems may occur in hardware or software of the system. Therefore, the time consumed by the system during each positioning can be calculated, namely, the smaller the system processing delay is, the higher the positioning accuracy is, the better the system performance is, if the system processing delay is too large, the abnormal occurrence of the system is indicated, and the positioning accuracy can be affected.
Based on the above, the system processing delay can be obtained according to the time difference between the time when the response signal of the appointed target reaches each ground receiving station and the output time of the target message, and the system processing delay can represent the time consumed by the scene multipoint positioning system for positioning; if the system processing delay is greater than the delay threshold, determining that the system processing delay is abnormal, otherwise, determining that the system processing delay is normal. The time of outputting the target message, that is, the time of outputting the target message by the central processing server, the time delay threshold can be set according to the time required by the system to normally perform one-time positioning and in combination with the actual application requirement. And measuring the capability of the scene multipoint positioning system for processing data through the system processing delay.
In the implementation, the time difference between the time when each ground receiving station participating in positioning receives the response signal and the output time of the target message can be calculated respectively, the time difference corresponding to each ground receiving station is averaged, and the average value is used as the system processing delay. Or the time difference between the time when the first ground receiving station receives the response signal and the output time of the target message can be used as the system processing delay, namely, the maximum time difference is selected from the time differences corresponding to all the ground receiving stations, and the maximum time difference is used as the system processing delay.
In practical applications, whether one or more pieces of designated data in the target message are hopped or not can be monitored, for example, the designated data can be a target positioning position or an identification number.
The identification number may be a flight identifier allocated to each target, the aircraft address code of the aircraft is fixed, the aircraft corresponding to the target message is determined based on the aircraft address code of the target message, and the identification number varies according to the flight number of the aircraft, so that the situation of error of the identification number is not excluded.
When the designated data is the identification number, whether the identification number in the target message aiming at the designated target is changed or not can be detected, and if the identification number is changed, the abnormality of the identification number is determined.
When the designated data is the target positioning position, the future motion trail of the designated target can be predicted according to the obtained target positioning position of the designated target, whether the target positioning position in the target message received later is jumped or not is judged based on the predicted motion trail, and if the jump occurs, the target positioning position is determined to be abnormal. The future motion trail of the appointed target is predicted according to the historical target positioning position of the appointed target, and if the error between the target positioning position given by the scene multipoint positioning system and the predicted motion trail is larger than an error threshold value, the target positioning position is deviated from the predicted motion trail.
In the implementation, the future motion state of the specified target can be judged by combining the historical position of the specified target and the track condition of the airport scene, and the predicted motion trail can be obtained by referring to the disclosure of CN 104035066B.
In practical application, whether positioning is abnormal can be judged according to the area of the airport scene. Specifically, if the target positioning position exceeds the area of the airport scene, determining that the target positioning position is abnormal.
As shown in fig. 4, based on the same inventive concept as the above-mentioned data quality monitoring method of the scene multipoint positioning system, an embodiment of the present application further provides a data quality monitoring device 40 of the scene multipoint positioning system, including:
The message obtaining module 401 is configured to obtain a working state message output by the scene multipoint positioning system and a target message for a specified target; the working state message comprises working state information representing whether the working state of each device in the scene multipoint positioning system is abnormal or not, and the target message comprises positioning related information obtained by the scene multipoint positioning system for positioning the specified target;
The working state analysis module 402 is configured to determine whether key indicators for measuring the working states of the devices are normal based on the acquired working state messages;
A monitoring data analysis module 403, configured to determine whether a key indicator for measuring positioning accuracy of the system is normal based on the obtained target message;
The data quality analysis module 404 is configured to determine a data quality score corresponding to the scene multipoint positioning system based on a determination result of whether each key indicator is normal or not and weights corresponding to each key indicator;
and the alarm module 405 is configured to output alarm prompt information indicating that the data quality is abnormal if the data quality score meets an alarm condition.
Optionally, the target message includes a target positioning position and position precision of the specified target and a site identifier of a ground receiving station participating in positioning, and the key index for measuring the positioning accuracy of the system includes positioning precision; the monitoring data analysis module 403 is specifically configured to: acquiring the position information of a ground receiving station participating in positioning according to the station identification in the target message; determining the positioning precision of the scene multipoint positioning system for positioning the specified target according to the position information of the ground receiving station participating in positioning and the target positioning position of the specified target; if the positioning precision is inconsistent with the position precision, determining that the positioning precision of the scene multipoint positioning system is abnormal.
Optionally, the monitoring data analysis module 403 is specifically configured to: determining a geometric precision factor GDOP according to the position information of the ground receiving stations participating in positioning and the target positioning position of the specified target; and determining the positioning precision of the scene multipoint positioning system for positioning the specified target according to the geometric precision factor GDOP and the pseudo-range measurement noise, wherein the pseudo-range measurement noise is determined according to the system parameters of the scene multipoint positioning system.
Optionally, the key indicator for measuring the positioning accuracy of the system includes at least one of a target message update rate, a target message identification rate and a system processing delay.
When the key indicator for measuring the positioning accuracy of the system includes a target message update rate, the monitoring data analysis module 403 is specifically configured to: and determining the update rate of the target message according to the number of the target messages output by the scene multipoint positioning system in the unit time length, if the update rate of the target message is smaller than the update rate threshold value, determining that the update rate of the target message is abnormal, otherwise, determining that the update rate of the target message is normal.
When the key indicator for measuring the positioning accuracy of the system includes a target message identification rate, the monitoring data analysis module 403 is specifically configured to: determining a target message recognition rate according to the number of target messages which are output by the scene multipoint positioning system and contain recognition information in unit time length, if the target message recognition rate is smaller than a recognition rate threshold value, determining that the target message recognition rate is abnormal, otherwise, determining that the target message recognition rate is normal, wherein the recognition information represents that a specified target can be recognized.
When the key indicator for measuring the positioning accuracy of the system includes a system processing delay, the monitoring data analysis module 403 is specifically configured to: and obtaining system processing delay according to the time difference between the time when the response signal of the specified target reaches each ground receiving station and the output time of the target message, if the system processing delay is greater than a delay threshold value, determining that the system processing delay is abnormal, otherwise, determining that the system processing delay is normal.
Optionally, the key indicator for measuring the positioning accuracy of the system includes whether the designated data in the target message hops, wherein the designated data includes at least one of a target positioning position and an identification number, and the identification number is a flight identifier allocated to each target.
When the specified data includes a target location, the monitoring data analysis module 403 is specifically configured to: predicting the future motion trail of the specified target according to the obtained target positioning position of the specified target, judging whether the target positioning position in the target message received later is jumped or not based on the predicted motion trail, and if so, determining that the target positioning position is abnormal.
When the specified data includes an identification number, the monitor data analysis module 403 is specifically configured to: detecting whether the identification number in the target message aiming at the designated target changes, and if so, determining that the identification number is abnormal.
Optionally, the data quality analysis module 404 is specifically configured to determine the data quality score Q corresponding to the scene multipoint positioning system based on the following formula:
Wherein q n is the weight corresponding to the nth key indicator, a n =0 when the nth key indicator is normal, a n =1 when the nth key indicator is abnormal;
Based on this, the alarm conditions in the alarm module 405 include: the data quality score Q is greater than a preset threshold.
Optionally, the working state message is ASTERIXCAT message, and the target message is ASTERIXCAT message.
The data quality monitoring device of the scene multipoint positioning system and the data quality monitoring method of the scene multipoint positioning system provided by the embodiment of the application adopt the same application conception, can obtain the same beneficial effects, and are not repeated here.
Based on the same inventive concept as the data quality monitoring method of the scene multipoint positioning system, the embodiment of the application also provides electronic equipment, wherein the electronic equipment can be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, a cloud server, a monitoring subsystem in fig. 1 and the like. As shown in fig. 5, the electronic device 50 may include a processor 501 and a memory 502.
The Processor 501 may be a general purpose Processor such as a Central Processing Unit (CPU), digital signal Processor (DIGITAL SIGNAL Processor, DSP), application SPECIFIC INTEGRATED Circuit (ASIC), field programmable gate array (Field Programmable GATE ARRAY, FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or may implement or perform the methods, steps, and logic blocks disclosed in embodiments of the application. The general purpose processor may be a microprocessor or any conventional processor or the like. The steps of a method disclosed in connection with the embodiments of the present application may be embodied directly in a hardware processor for execution, or in a combination of hardware and software modules in the processor for execution.
The memory 502, as a non-volatile computer readable storage medium, may be used to store non-volatile software programs, non-volatile computer executable programs, and modules. The Memory may include at least one type of storage medium, which may include, for example, flash Memory, hard disk, multimedia card, card Memory, random access Memory (Random Access Memory, RAM), static random access Memory (Static Random Access Memory, SRAM), programmable Read-Only Memory (Programmable Read Only Memory, PROM), read-Only Memory (ROM), charged erasable programmable Read-Only Memory (ELECTRICALLY ERASABLE PROGRAMMABLE READ-Only Memory, EEPROM), magnetic Memory, magnetic disk, optical disk, and the like. The memory is any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to such. The memory 502 in embodiments of the present application may also be circuitry or any other device capable of performing storage functions for storing program instructions and/or data.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware associated with program instructions, where the foregoing program may be stored in a computer readable storage medium, and when executed, the program performs steps including the above method embodiments; such computer storage media can be any available media or data storage device that can be accessed by a computer including, but not limited to: various media that can store program code, such as a mobile storage device, a random access memory (RAM, random Access Memory), a magnetic memory (e.g., a floppy disk, a hard disk, a magnetic tape, a magneto-optical disk (MO), etc.), an optical memory (e.g., CD, DVD, BD, HVD, etc.), and a semiconductor memory (e.g., ROM, EPROM, EEPROM, a nonvolatile memory (NANDFLASH), a Solid State Disk (SSD)), etc.
Or the above-described integrated units of the application may be stored in a computer-readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solutions of the embodiments of the present application may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: various media that can store program code, such as a mobile storage device, a random access memory (RAM, random Access Memory), a magnetic memory (e.g., a floppy disk, a hard disk, a magnetic tape, a magneto-optical disk (MO), etc.), an optical memory (e.g., CD, DVD, BD, HVD, etc.), and a semiconductor memory (e.g., ROM, EPROM, EEPROM, a nonvolatile memory (NANDFLASH), a Solid State Disk (SSD)), etc.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any changes or substitutions easily contemplated by those skilled in the art within the scope of the present invention should be included in the present invention. Therefore, the protection scope of the invention is subject to the protection scope of the claims.
Claims (7)
1. The data quality monitoring method for the scene multipoint positioning system is characterized by comprising the following steps of:
Acquiring a working state message output by a scene multipoint positioning system and a target message aiming at a specified target; the working state message comprises working state information representing whether the working state of each device in the scene multipoint positioning system is abnormal or not, and the target message comprises positioning related information obtained by the scene multipoint positioning system for positioning the specified target; the target message comprises a target positioning position and position precision of the designated target and a site identifier of a ground receiving station participating in positioning;
determining whether key indexes for measuring the working states of all the devices are normal or not based on the acquired working state messages; the key indexes for measuring the working states of the equipment comprise: the system working state index, the central processing server working state index, the ground receiving station working state index, the reference transponder working state index and the query transmitting station working state index;
Determining whether a key index for measuring the positioning accuracy of the system is normal or not based on the acquired target message; the key indexes for measuring the positioning accuracy of the system comprise: positioning accuracy, target message update rate, target message identification rate, system processing delay and whether jump occurs in designated data in the target message;
Determining a data quality score corresponding to the scene multipoint positioning system based on a judging result of whether each key index is normal or not and weights corresponding to each key index respectively;
If the data quality score meets the alarm condition, outputting alarm prompt information representing abnormal data quality;
The determining whether each key index for measuring the positioning accuracy of the system is normal based on the obtained target message comprises the following steps:
Acquiring the position information of a ground receiving station participating in positioning according to the station identification in the target message; determining the positioning precision of the scene multipoint positioning system for positioning the specified target according to the position information of the ground receiving station participating in positioning and the target positioning position of the specified target; if the positioning precision is inconsistent with the position precision, determining that the positioning precision of the scene multipoint positioning system is abnormal;
Determining a target message update rate according to the number of target messages output by the scene multipoint positioning system in unit time length, if the target message update rate is smaller than an update rate threshold value, determining that the target message update rate is abnormal, otherwise, determining that the target message update rate is normal;
Determining a target message recognition rate according to the number of target messages which are output by the scene multipoint positioning system and contain recognition information in unit time length, if the target message recognition rate is smaller than a recognition rate threshold value, determining that the target message recognition rate is abnormal, otherwise, determining that the target message recognition rate is normal, wherein the recognition information represents that a specified target can be recognized; and
Obtaining system processing delay according to the time difference between the time when the response signal of the appointed target reaches each ground receiving station and the output time of the target message, if the system processing delay is greater than a delay threshold value, determining that the system processing delay is abnormal, otherwise, determining that the system processing delay is normal;
The specified data comprises at least one of a target positioning position and an identification number, wherein the identification number is a flight identification distributed for each target;
when the specified data includes the target positioning position, determining whether each key index for measuring the positioning accuracy of the system is normal based on the obtained target message, and further including: predicting a future motion trail of the specified target according to the obtained target positioning position of the specified target, judging whether the target positioning position in a subsequently received target message is jumped or not based on the predicted motion trail, and if so, determining that the target positioning position is abnormal;
When the specified data includes an identification number, determining whether each key index for measuring the positioning accuracy of the system is normal based on the obtained target message, and further including: detecting whether the identification number in the target message aiming at the designated target changes, and if so, determining that the identification number is abnormal.
2. The method according to claim 1, wherein the determining the positioning accuracy of the scene multipoint positioning system for positioning the specified target according to the position information of the ground receiving station participating in positioning and the target positioning position of the specified target comprises:
Determining a geometric precision factor GDOP according to the position information of the ground receiving stations participating in positioning and the target positioning position of the specified target;
And determining the positioning precision of the scene multipoint positioning system for positioning the specified target according to the geometric precision factor GDOP and the pseudo-range measurement noise, wherein the pseudo-range measurement noise is determined according to the system parameters of the scene multipoint positioning system.
3. The method according to claim 1 or 2, wherein the determining the data quality score corresponding to the scene multipoint positioning system based on the judging result of whether each key indicator is normal and the weights corresponding to each key indicator, respectively, includes:
determining a data quality score Q corresponding to the scene multipoint positioning system based on the following formula:
wherein, Is the weight corresponding to the nth key index, when the nth key index is normal, the weight of the index is/is equal to the weight of the index=0, When the nth key index is abnormal,/>=1；
The alarm condition includes: the data quality score Q is greater than a preset threshold.
4. The method according to claim 1 or 2, wherein the working state message is ASTERIX CAT a 19 message and the target message is ASTERIX CAT a20 message.
5. A scene multipoint positioning system data quality monitoring device, comprising:
The message acquisition module is used for acquiring a working state message output by the scene multipoint positioning system and a target message aiming at a specified target; the working state message comprises working state information representing whether the working state of each device in the scene multipoint positioning system is abnormal or not, and the target message comprises positioning related information obtained by the scene multipoint positioning system for positioning the specified target; the target message comprises a target positioning position and position precision of the designated target and a site identifier of a ground receiving station participating in positioning;
The working state analysis module is used for determining whether key indexes for measuring the working states of all the equipment are normal or not based on the acquired working state messages; the key indexes for measuring the working states of the equipment comprise: the system working state index, the central processing server working state index, the ground receiving station working state index, the reference transponder working state index and the query transmitting station working state index;
The monitoring data analysis module is used for determining whether key indexes for measuring the positioning accuracy of the system are normal or not based on the acquired target message; the key indexes for measuring the positioning accuracy of the system comprise: positioning accuracy, target message update rate, target message identification rate, system processing delay and whether jump occurs in designated data in the target message;
The data quality analysis module is used for determining the data quality score corresponding to the scene multipoint positioning system based on the judging result of whether each key index is normal or not and the weight corresponding to each key index;
The alarm module is used for outputting alarm prompt information representing abnormal data quality if the data quality score meets the alarm condition;
The monitoring data analysis module is specifically configured to:
Acquiring the position information of a ground receiving station participating in positioning according to the station identification in the target message; determining the positioning precision of the scene multipoint positioning system for positioning the specified target according to the position information of the ground receiving station participating in positioning and the target positioning position of the specified target; if the positioning precision is inconsistent with the position precision, determining that the positioning precision of the scene multipoint positioning system is abnormal;
Determining a target message update rate according to the number of target messages output by the scene multipoint positioning system in unit time length, if the target message update rate is smaller than an update rate threshold value, determining that the target message update rate is abnormal, otherwise, determining that the target message update rate is normal;
Determining a target message recognition rate according to the number of target messages which are output by the scene multipoint positioning system and contain recognition information in unit time length, if the target message recognition rate is smaller than a recognition rate threshold value, determining that the target message recognition rate is abnormal, otherwise, determining that the target message recognition rate is normal, wherein the recognition information represents that a specified target can be recognized; and
Obtaining system processing delay according to the time difference between the time when the response signal of the appointed target reaches each ground receiving station and the output time of the target message, if the system processing delay is greater than a delay threshold value, determining that the system processing delay is abnormal, otherwise, determining that the system processing delay is normal;
The specified data comprises at least one of a target positioning position and an identification number, wherein the identification number is a flight identification distributed for each target;
When the specified data includes a target location, the monitoring data analysis module is further configured to: predicting a future motion trail of the specified target according to the obtained target positioning position of the specified target, judging whether the target positioning position in a subsequently received target message is jumped or not based on the predicted motion trail, and if so, determining that the target positioning position is abnormal;
When the specified data includes an identification number, the monitoring data analysis module is further configured to: detecting whether the identification number in the target message aiming at the designated target changes, and if so, determining that the identification number is abnormal.
6. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method of any of claims 1 to 4 when the computer program is executed.
7. A computer readable storage medium having stored thereon computer program instructions, which when executed by a processor, implement the steps of the method of any of claims 1 to 4.
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