CN111540194B - Vehicle monitoring data processing method and device, computer equipment and storage medium - Google Patents
Vehicle monitoring data processing method and device, computer equipment and storage medium Download PDFInfo
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- CN111540194B CN111540194B CN202010206833.9A CN202010206833A CN111540194B CN 111540194 B CN111540194 B CN 111540194B CN 202010206833 A CN202010206833 A CN 202010206833A CN 111540194 B CN111540194 B CN 111540194B
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Abstract
The application relates to a vehicle monitoring data processing method, a vehicle monitoring data processing device, computer equipment and a storage medium. The method comprises the following steps: acquiring target vehicle monitoring data corresponding to target vehicle monitoring indexes; obtaining a current index value and current position information corresponding to a target vehicle monitoring index according to the target vehicle monitoring data; comparing the current index value with a preset index value corresponding to the target vehicle monitoring index to obtain a target comparison result; determining a target abnormal grade corresponding to the target vehicle monitoring index according to the target comparison result; and sending the current position information and the target abnormal grade to a vehicle abnormal prompting terminal so that the vehicle abnormal prompting terminal displays the abnormal grade prompting information on an abnormal display interface according to the target abnormal grade, acquires a regional map corresponding to the current position information, and indicates an abnormal position on the regional map according to the current position information. By adopting the method, the vehicle abnormity monitoring efficiency can be improved.
Description
Technical Field
The present application relates to the field of data processing technologies, and in particular, to a vehicle monitoring data processing method and apparatus, a computer device, and a storage medium.
Background
With the rapid advancement of economic globalization and the continuous deepening of the reform of the supply side of China, the exhibition economy becomes a new economic form in the modern three-product service industry system and becomes a new growth point of the economic development of China. In recent years, various large-scale exhibitions have been increasing and the scale has been gradually increasing. Due to the large flow of people and vehicles at a large exhibitions, traffic congestion often occurs, which hinders the normal progress of activities, and therefore, the order of activities needs to be maintained.
Currently, the order of vehicles during an activity is maintained by arranging a large number of workers during the activity. For example, a worker checks whether or not there is a vehicle in an abnormal state by patrol during a convention and exhibition.
However, it takes a lot of time for the worker to patrol, and the efficiency of the vehicle finding an abnormal state is low, resulting in low vehicle abnormality monitoring efficiency.
Disclosure of Invention
In view of the above, it is necessary to provide a vehicle abnormality monitoring data processing method, a device, a computer device, and a storage medium, which can improve vehicle abnormality monitoring efficiency, in order to solve the above technical problem of low vehicle abnormality monitoring efficiency.
A vehicle monitoring data processing method, the method comprising: acquiring target vehicle monitoring data corresponding to target vehicle monitoring indexes; obtaining a current index value and current position information corresponding to the target vehicle monitoring index according to the target vehicle monitoring data; comparing the current index value with a preset index value corresponding to the target vehicle monitoring index to obtain a target comparison result; determining a target abnormal grade corresponding to the target vehicle monitoring index according to the target comparison result; and sending the current position information and the target abnormal grade to a vehicle abnormal prompting terminal so that the vehicle abnormal prompting terminal displays abnormal grade prompting information on an abnormal display interface according to the target abnormal grade, acquires a regional map corresponding to the current position information, and indicates an abnormal position on the regional map according to the current position information.
In some embodiments, the target vehicle monitoring indicator includes a traffic indicator corresponding to a target area, the target area corresponds to a first entry area and a second entry area, the current indicator value includes a first indicator value corresponding to the first entry area and a second indicator value corresponding to the second entry area, the comparing the current indicator value with a preset indicator value corresponding to the target vehicle monitoring indicator, and obtaining the target comparison result includes: comparing the first index value with a first preset index value corresponding to the target vehicle monitoring index to obtain a first comparison result; comparing the second index value with a second preset index value corresponding to the target vehicle monitoring index to obtain a second comparison result; and taking the first comparison result and the second comparison result as target comparison results.
In some embodiments, the determining, according to the target comparison result, a target abnormality level corresponding to the target vehicle monitoring index includes: determining a first abnormal grade corresponding to the traffic index according to the first comparison result; wherein the second entrant region precedes the first entrant region; and determining the target abnormal grade corresponding to the traffic index according to the first abnormal grade and the second comparison result.
In some embodiments, the second indicator value comprises vehicle speed related information corresponding to a second entry zone, and the determining the target anomaly level corresponding to the traffic indicator according to the first anomaly level and the second comparison result comprises: and when the second comparison result is that the vehicle speed related information is larger than the preset speed information corresponding to the traffic index, improving the abnormal grade on the basis of the first abnormal grade to obtain the target abnormal grade corresponding to the traffic index.
In some embodiments, the comparing the current index value with a preset index value corresponding to the target vehicle monitoring index to obtain a target comparison result includes: calculating the difference between the current index value and the preset index value to obtain an index value difference, wherein the preset index value is an index value corresponding to the target vehicle monitoring index when the target vehicle monitoring index is normal; the determining the target abnormal grade corresponding to the target vehicle monitoring index according to the target comparison result comprises: and determining a target abnormal level according to the index value difference, wherein the index value difference and the target abnormal level form a positive correlation relationship.
In some embodiments, the determining, according to the target comparison result, a target abnormality level corresponding to the target vehicle monitoring index includes: acquiring a candidate abnormal grade set corresponding to the target vehicle monitoring index, wherein the candidate abnormal grade in the candidate abnormal grade set is determined according to the influence degree corresponding to the target vehicle monitoring index; and screening the candidate abnormal grade set to obtain a target abnormal grade corresponding to the target vehicle monitoring index according to the target comparison result.
A vehicle monitoring data processing apparatus, the apparatus comprising: the target vehicle monitoring data acquisition module is used for acquiring target vehicle monitoring data corresponding to the target vehicle monitoring index; a current index value obtaining module, configured to obtain a current index value and current position information corresponding to the target vehicle monitoring index according to the target vehicle monitoring data; a target comparison result obtaining module, configured to compare the current index value with a preset index value corresponding to the target vehicle monitoring index to obtain a target comparison result; the target abnormal grade determining module is used for determining a target abnormal grade corresponding to the target vehicle monitoring index according to the target comparison result; and the target abnormal grade sending module is used for sending the current position information and the target abnormal grade to a vehicle abnormal prompting terminal so that the vehicle abnormal prompting terminal displays the abnormal grade prompting information on an abnormal display interface according to the target abnormal grade, acquires a regional map corresponding to the current position information, and indicates an abnormal position on the regional map according to the current position information.
In some embodiments, the target vehicle monitoring indicator includes a traffic indicator corresponding to a target area, the target area has a first entrance area and a second entrance area, the current indicator value includes a first indicator value corresponding to the first entrance area and a second indicator value corresponding to the second entrance area, and the target comparison result obtaining module includes: a first comparison result obtaining unit, configured to compare the first index value with a first preset index value corresponding to the target vehicle monitoring index, so as to obtain a first comparison result; a second comparison result obtaining unit, configured to compare the second index value with a second preset index value corresponding to the target vehicle monitoring index, so as to obtain a second comparison result; and the target comparison result obtaining unit is used for taking the first comparison result and the second comparison result as target comparison results.
A computer device comprising a memory storing a computer program and a processor implementing the steps of the above vehicle monitoring data processing method when executing the computer program.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned vehicle monitoring data processing method.
The vehicle monitoring data processing method, the vehicle monitoring data processing device, the computer equipment and the storage medium acquire target vehicle monitoring data corresponding to target vehicle monitoring indexes, obtaining a current index value and current position information corresponding to a target vehicle monitoring index according to the target vehicle monitoring data, comparing the current index value with a preset index value corresponding to the target vehicle monitoring index to obtain a target comparison result, determining a target abnormal grade corresponding to the target vehicle monitoring index according to the target comparison result, sending the current position information and the target abnormal grade to a vehicle abnormal prompting terminal so that the vehicle abnormal prompting terminal can prompt the vehicle abnormal grade according to the target abnormal grade, and displaying the prompt information of the abnormal level on the abnormal display interface, acquiring an area map corresponding to the current position information, and indicating the abnormal position on the area map according to the current position information. Therefore, the unified abnormal monitoring primary alarm processing can be performed on the vehicle according to the vehicle monitoring data, the efficiency of abnormal monitoring of the vehicle is improved, the position information and the abnormal grade can be sent to the terminal, the terminal displays the prompt information, and the alarm efficiency is improved.
Drawings
FIG. 1 is a diagram of an environment in which a method for processing vehicle monitoring data may be implemented in some embodiments;
FIG. 2 is a schematic flow chart diagram of a method for processing vehicle monitoring data in some embodiments;
FIG. 3 is a schematic diagram of an exception display interface in some embodiments;
FIG. 4 is a schematic flow chart of the steps to obtain a target comparison result in some embodiments;
FIG. 5 is a flowchart illustrating the steps of obtaining a target anomaly level in some embodiments;
FIG. 6 is a schematic flow chart diagram of a method for processing vehicle monitoring data in some embodiments;
FIG. 7 is a schematic flow chart diagram of a method for processing vehicle monitoring data in some embodiments;
FIG. 8 is a block diagram of a vehicle monitoring data processing apparatus according to some embodiments;
FIG. 9 is a diagram of the internal structure of a computer device in some embodiments.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The vehicle monitoring data processing method provided by the application can be applied to the application environment shown in fig. 1. The application environment includes a monitoring terminal 102 and a monitoring server 104, wherein the monitoring terminal 102 communicates with the monitoring server 104 through a network.
Specifically, the monitoring server 104 may obtain target vehicle monitoring data corresponding to a target vehicle monitoring index, obtain a current index value and current position information corresponding to the target vehicle monitoring index according to the target vehicle monitoring data, compare the current index value with a preset index value corresponding to the target vehicle monitoring index to obtain a target comparison result, determine a target abnormality level corresponding to the target vehicle monitoring index according to the target comparison result, and send the current position information and the target abnormality level to the monitoring terminal 102, so that the monitoring terminal 102 displays abnormality level prompt information on an abnormality display interface according to the target abnormality level, obtains a regional map corresponding to the current position information, and indicates an abnormal position on the regional map according to the current position information. The monitoring terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices, and the monitoring server 104 may be implemented by an independent server or a server cluster formed by a plurality of servers.
In some embodiments, as shown in fig. 2, a vehicle monitoring data processing method is provided, which is described by taking the method as an example applied to the monitoring server 104 in fig. 1, and includes the following steps:
and S202, acquiring target vehicle monitoring data corresponding to the target vehicle monitoring index.
Specifically, the vehicle monitoring index may include at least one of surrounding traffic, full waiting area, loading and unloading overtime, multiple locating vehicles, full area bank, zombie vehicles, illegal parking, vehicle reservation error, and the like, such as an abnormal display interface for monitoring vehicle abnormality in a large activity place (e.g., an exhibition) shown in fig. 3. The corpse vehicle is a vehicle which is maintained for a long time without people. Ambient traffic may be understood as traffic at each doorway area of the exhibition. The internal traffic condition can be understood as the internal traffic condition such as more locating vehicles, full wheel waiting areas or full area warehouses. The target vehicle monitoring index is an index for which abnormality analysis is required. The target vehicle monitoring index can be one of peripheral traffic, full of waiting areas, overtime loading and unloading, multiple locating vehicles, full of regional depots, zombie vehicles, illegal parking, vehicle reservation errors and the like. The target vehicle monitoring data may include at least one of vehicle position information, vehicle travel speed information, vehicle behavior information, and the like. The vehicle behavior information is, for example, that the vehicle spends a long time in a parking lot to find a parking space.
In some embodiments, corresponding candidate vehicle monitoring data may be obtained from the candidate vehicle monitoring data set as the target vehicle monitoring data according to the target vehicle monitoring index. The candidate vehicle monitoring data in the candidate vehicle monitoring data set may be sent to the monitoring server by the corresponding monitoring system. Vehicle monitoring data for the same vehicle monitoring metric may include data from different monitoring systems. The same monitoring system can provide corresponding vehicle monitoring data for a plurality of vehicle monitoring indexes. As shown in fig. 3, the monitoring System may include at least one of a GIS (Geographic Information System) System, an above-ground parking System, a vehicle management System, an underground parking System, or the like.
In some embodiments, the target vehicle monitoring indicator is determined from the various vehicle monitoring indicators according to different time periods. For example, zombie cars may be monitored before the exhibition begins, and surrounding traffic may be monitored while the exhibition is in progress.
In some embodiments, the candidate vehicle monitoring data for the monitoring system is collected by a vehicle data collection device. Specifically, vehicle data acquisition devices may be arranged in the designated area, the vehicle data acquisition devices may send the acquired data to corresponding monitoring systems, and the monitoring systems may forward the received data to the monitoring server. For example, when a zombie car exists in the exhibition, the vehicle data acquisition equipment can acquire the position information and the vehicle information of the zombie car and send the acquired information to a zombie car monitoring system, and the zombie car monitoring system can forward the received data to a monitoring server.
And S204, obtaining a current index value and current position information corresponding to the target vehicle monitoring index according to the target vehicle monitoring data.
Specifically, the current index value refers to an index value obtained at the current time. Information specified in advance may be proposed from the target vehicle monitoring data as the current index value. For example, time information in the target vehicle monitoring data may be extracted as the current index value. Of course, it is also possible to extract information specified in advance from the target vehicle monitoring data, calculate the extracted information specified in advance, and use the calculation result as the current index value. For example, when the target vehicle monitoring index is a loading/unloading timeout and the target vehicle monitoring data includes a start time at which the vehicle loads or unloads the cargo, a difference between the current time and the start time may be calculated, and the resultant difference may be used as the current index value. The current location information refers to location information obtained at the current time. The location information may include at least one of parking space information, specific place information, or a specific area. The parking space information is, for example, "C3 # C #082 parking space". The specific location information is, for example, "door 1". The specific region is, for example, "a waiting region".
In some embodiments, the current metric value may be current location information in some embodiments. For example, when the target vehicle monitoring index is illegal parking, and the target vehicle monitoring data includes position information (i.e., current position information) where the vehicle is parked, the position information where the vehicle is parked may be used as the current index value.
And S206, comparing the current index value with a preset index value corresponding to the target vehicle monitoring index to obtain a target comparison result.
Specifically, the preset index value may be set in advance as needed. For example, for a zombie vehicle, the preset index value is, for example, a vehicle parking time threshold. The difference between the current index value and the target vehicle monitoring index can be calculated to obtain a target comparison result. For example, for a zombie vehicle, if the vehicle parking time threshold is 15 days, and the current index value is 16 days, that is, the current index value is greater than the preset index value, the target comparison result may be that the current index value is greater than the preset index value.
In some embodiments, the preset index value may be a set. For example, for illegal parking, the preset index value may include various illegal parking states, and the illegal parking state may include at least one of occupation of a fire fighting tunnel, occupation of a plurality of parking spaces, and the like.
And S208, determining a target abnormal grade corresponding to the target vehicle monitoring index according to the target comparison result.
Specifically, the vehicle abnormality may be classified into a plurality of abnormality levels according to the severity of the vehicle abnormality. The higher the severity the higher the corresponding anomaly level may be. The exception level may include a first level and a second level, where the exception level of the second level is higher than the first level.
In some embodiments, a target abnormality level corresponding to the target vehicle monitoring index may be determined according to a difference between the current index value and a preset index value, and when the difference is greater than a preset difference threshold, the target abnormality level is determined as second level, otherwise, the target abnormality level is determined as first level.
In some embodiments, selectable abnormality levels corresponding to the vehicle monitoring indexes may be predefined, only one of the selectable abnormality levels of the vehicle monitoring indexes may be predefined, or the selectable abnormality levels of the vehicle monitoring indexes may include a first level and a second level. Of course, alternative anomaly levels for the vehicle monitoring indicator may also be specified including other levels. The number of levels is not overly limited here.
S210, sending the current position information and the target abnormal grade to a vehicle abnormal prompting terminal, so that the vehicle abnormal prompting terminal displays the abnormal grade prompting information on an abnormal display interface according to the target abnormal grade, acquires a regional map corresponding to the current position information, and indicates an abnormal position on the regional map according to the current position information.
Specifically, the vehicle abnormality prompting terminal refers to a terminal for prompting a vehicle abnormality, and may be the terminal 102 in fig. 1. The monitoring server can provide a client or a page for vehicle abnormity prompting, and the vehicle abnormity prompting terminal can access the client or the page so as to acquire and display relevant information corresponding to the vehicle abnormity prompting. The monitoring server can send the current position information and the target abnormal grade to the vehicle abnormal prompting terminal. The vehicle abnormity prompting terminal can receive the current position information and the target abnormity grade sent by the monitoring server, and abnormal grade prompting information is displayed on the abnormity display interface according to the target abnormity grade. The vehicle abnormity prompting terminal can also acquire an area map corresponding to the current position information, and indicate an abnormal position on the area map according to the current position information. The vehicle abnormality prompting terminal can display the area map and the abnormal position on the abnormality display interface, as shown in fig. 3, the area map a, the area map B and the area map C are displayed on the abnormality display interface, and the waiting area, "C3 # C #082 parking space" and "1.8 km from door 6" in fig. 3 are the abnormal position. The location of the anomaly may be identified by a particular color or marking.
In some embodiments, the terminal may display specific abnormality prompt information on the area map. Specific abnormality prompt information is, for example, "zombie car monitoring warning", "wheel waiting area full", and "surrounding traffic congestion" shown in fig. 3.
In some embodiments, the prompt message on the exception display interface may be set by presetting the exception level. The prompt information corresponding to the first-level abnormality level may be "abnormal", and the prompt information corresponding to the second-level abnormality level may be "dangerous". As shown in fig. 3, an "abnormal" prompt message is displayed.
In some embodiments, various vehicle monitoring indicators may also be displayed on the anomaly display interface, as shown in FIG. 3. When the vehicle monitoring index is abnormal, the vehicle monitoring index on the abnormal display interface can be displayed by adopting a special color to represent the corresponding abnormal grade. For example, the primary anomaly level may be represented by yellow and the secondary anomaly level may be represented by red. The abnormal display modes corresponding to different vehicle monitoring indexes can be different.
The vehicle monitoring data processing method includes the steps of obtaining target vehicle monitoring data corresponding to a target vehicle monitoring index, obtaining a current index value and current position information corresponding to the target vehicle monitoring index according to the target vehicle monitoring data, comparing the current index value with a preset index value corresponding to the target vehicle monitoring index to obtain a target comparison result, determining a target abnormal grade corresponding to the target vehicle monitoring index according to the target comparison result, and sending the current position information and the target abnormal grade to a vehicle abnormal prompting terminal, so that the vehicle abnormal prompting terminal displays abnormal grade prompting information on an abnormal display interface according to the target abnormal grade, obtains an area map corresponding to the current position information, and indicates an abnormal position on the area map according to the current position information. Therefore, the unified abnormal monitoring primary alarm processing can be performed on the vehicle according to the vehicle monitoring data, the efficiency of abnormal monitoring of the vehicle is improved, the position information and the abnormal grade can be sent to the terminal, the terminal displays the prompt information, and the alarm efficiency is improved.
In the related art, in a large-scale activity place, such as a convention and exhibition, generally, dispatching and sequence management are performed on vehicles, and a scheme for performing abnormal monitoring and warning on the vehicles is not provided, so that the problems of convention and exhibition traffic jam and incapability of performing emergency treatment in time are easily caused. In addition, when abnormality and alarm occur, no corresponding emergency treatment scheme is available, manual operation is needed, and efficiency is low.
The vehicle monitoring data processing method can uniformly monitor and alarm the abnormal state of the vehicles in the exhibition, so that timely emergency treatment can be carried out, and orderly progress of the exhibition is guaranteed. And the vehicle abnormity can be alarmed in advance, sufficient preparation time is provided for emergency treatment, and the alarming effectiveness is improved.
In some embodiments, the target vehicle monitoring index includes a traffic index corresponding to a target area, and the target area corresponds to a first entry area and a second entry area, where the first entry area and the second entry area may be association areas, and the current index value includes a first index value corresponding to the first entry area and a second index value corresponding to the second entry area, as shown in fig. 4, the step S206 compares the current index value with a preset index value corresponding to the target vehicle monitoring index, and obtaining the target comparison result includes:
s302, comparing the first index value with a first preset index value corresponding to the target vehicle monitoring index to obtain a first comparison result.
S304, comparing the second index value with a second preset index value corresponding to the target vehicle monitoring index to obtain a second comparison result.
And S306, taking the first comparison result and the second comparison result as target comparison results.
Specifically, the target area may be, for example, a venue or the like. The traffic index corresponding to the target area is, for example, a traffic condition around the venue, and may specifically be a traffic condition in each entrance area of the venue. The vehicle enters the target zone through the first and second entrances zones. The first entrance area may be a doorway area of a venue, and the second entrance area may be a traffic critical path within a certain range adjacent to the doorway of the venue. The first entrant region being an association region with the second entrant region may be understood as the first entrant region being geographically proximate to the second entrant region. The target vehicle monitoring data may include first vehicle monitoring data acquired from the first access zone and second vehicle monitoring data acquired from the second access zone. The first index value may be derived from first vehicle monitoring data and the second index value may be derived from second vehicle monitoring data. The first preset index value refers to an index value of the target vehicle monitoring index when the first entrance zone is normal. The second preset index value may be an index value of the target vehicle monitoring index when the first entrance zone is normal.
In the above embodiment, the analysis of the target comparison result is performed by combining the first index value corresponding to the first entry area and the second index value corresponding to the second entry area, so that the accuracy of the obtained target comparison result is high. The method realizes that the analysis can be performed by combining multiple factors aiming at the same index.
In some embodiments, as shown in fig. 5, the step S208 of determining the target abnormality level corresponding to the target vehicle monitoring index according to the target comparison result includes:
s402, determining a first abnormal grade corresponding to the traffic index according to the first comparison result.
S404, determining a target abnormal grade corresponding to the traffic index according to the first abnormal grade and the second comparison result.
Specifically, the second entrant region precedes the first entrant region, i.e., the vehicle enters the target region through the second entrant region and then through the first entrant region. The degree of influence of the vehicle condition in the first entrance area on the traffic indicator in the target area is greater than the degree of influence of the vehicle condition in the second entrance area on the traffic indicator in the target area. The first abnormality grade corresponding to the target vehicle monitoring index can be determined according to the first comparison result in the target comparison result, and then the target abnormality grade corresponding to the target vehicle monitoring index is determined by combining the second comparison result. For example, when the first abnormality level corresponding to the target vehicle monitoring index is determined to be one level according to the first comparison result, if the second comparison result indicates that the target vehicle monitoring index is abnormal, the target abnormality level may be upgraded to two levels. If the second comparison result indicates a normal result, the target abnormality level may be determined to be one level. The larger the level is, the higher the degree of abnormality is. For example, the degree of abnormality of the second stage is higher than that of the first stage.
In the above embodiment, the first abnormal level may be determined according to the first comparison result corresponding to the first index value obtained from the main information, and then the target abnormal level may be determined by combining the second comparison result corresponding to the second index value, since the first entry area closer to the target area has a greater influence on the traffic indicator of the target area, and the comparison result of the second entry area may reflect the development trend of the first entry area, the first abnormal level based on the first comparison result closer to the first entry area of the target area is obtained, and then the first abnormal level is adjusted according to the second comparison result on the basis of the first abnormal level, so that the traffic indicator corresponding to the target area may mainly consider the first comparison result determination level of the closer first entry area, and may also be assisted by the second comparison result, the level determined from the first comparison result is adjusted, thereby improving the accuracy of the target abnormality level determination.
In some embodiments, the second index value includes vehicle speed related information corresponding to the second entry area, and the step S404 of determining the target abnormality level corresponding to the traffic index according to the first abnormality level and the second comparison result includes: and when the second comparison result is that the vehicle speed related information is greater than the preset speed information corresponding to the traffic index, on the basis of the first abnormal grade, improving the abnormal grade to obtain a target abnormal grade corresponding to the traffic index.
Specifically, the vehicle speed-related information is, for example, at least one of vehicle speed information or vehicle acceleration information. The preset speed information may be at least one of a speed threshold or an acceleration threshold, when the vehicle speed related information is greater than the preset speed information, it may be inferred that the vehicle is accelerated to travel to the first entrance area in the second entrance area, and when the first entrance area is in a blocked state, the congestion condition of the first entrance area may be increased, so that the abnormal condition of the traffic index is added, at this time, the abnormal level may be raised, and the raised abnormal level is taken as the target abnormal level.
In the above embodiment, when the vehicle speed related information is greater than the preset speed information corresponding to the traffic index, the abnormal level is raised on the basis of the first abnormal level, so that the severity of the warning can be increased, that is, the situation of traffic congestion can be predicted in advance to be aggravated, and the effectiveness of the warning is improved. And different grades of early warning are carried out on the same index. For example, when the surrounding traffic is in an abnormal state, if a vehicle accelerates to a venue, a more serious early warning can be prompted, and the state is promoted to a dangerous state.
In some embodiments, as shown in fig. 6, the step S206 of comparing the current index value with a preset index value corresponding to the target vehicle monitoring index to obtain the target comparison result includes:
s502, calculating the difference between the current index value and a preset index value to obtain the index value difference, wherein the preset index value is the index value corresponding to the target vehicle monitoring index being normal.
Specifically, the preset index value may be a range that may include an index value corresponding to when the target vehicle monitoring index is normal, that is, an index value belonging to the preset index value indicates that the target vehicle monitoring index is normal. Step S208, determining the target abnormality level corresponding to the target vehicle monitoring index according to the target comparison result includes:
s504, determining a target abnormal level according to the index value difference, wherein the index value difference and the target abnormal level form a positive correlation relationship.
Specifically, the greater the index value difference, the greater the difference between the current index value and the preset index value, the more serious the phenomenon of the vehicle abnormality may be considered, and thus the higher the target abnormality level, and conversely, the lower the target abnormality level.
In the above embodiment, the target abnormality level is determined according to the index value difference, and the index value difference and the target abnormality level have a positive correlation, so that the target abnormality level can be flexibly determined according to the index value difference.
In some embodiments, as shown in fig. 7, the step S208 of determining the target abnormality level corresponding to the target vehicle monitoring index according to the target comparison result includes:
s602, a candidate abnormal grade set corresponding to the target vehicle monitoring index is obtained, and the candidate abnormal grade in the candidate abnormal grade set is determined according to the influence degree corresponding to the target vehicle monitoring index.
And S604, screening the candidate abnormal grade set according to the target comparison result to obtain a target abnormal grade corresponding to the target vehicle monitoring index.
Specifically, the candidate abnormality level set is a set composed of abnormality levels that the target vehicle monitoring index can select, and the candidate abnormality level set may include at least one abnormality level. Different sets of candidate abnormality levels may be predefined for different vehicle abnormality indicators. For example, the abnormality levels selectable for the index having a small influence on the exhibition (for example, zombie cars) may be set to one level, and the abnormality levels selectable for the index having a large influence on the exhibition (for example, peripheral traffic) may be set to one level and two levels.
In the above embodiment, the abnormality levels of the vehicle abnormality indexes are defined in advance, and the influence degrees of the indexes can be sufficiently considered, so that the abnormality level of the index having a low influence degree is set to be the low abnormality level, and the abnormality level of the index having a high influence degree is set to be the plurality of abnormality levels, thereby improving the accuracy of determining the target abnormality level.
It should be understood that, although the steps in the flowcharts of the above embodiments are shown in sequence as indicated by the arrows, the steps are not necessarily executed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a part of the steps in the flowcharts of the above embodiments may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the steps or stages is not necessarily sequential, but may be performed alternately or alternately with other steps or at least a part of the steps or stages in other steps.
In some embodiments, as shown in fig. 8, there is provided a vehicle monitoring data processing apparatus including: a target vehicle monitoring data obtaining module 702, a current index value obtaining module 704, a target comparison result obtaining module 706, a target abnormality level determining module 708, and a target abnormality level sending module 710, wherein:
and a target vehicle monitoring data obtaining module 702, configured to obtain target vehicle monitoring data corresponding to the target vehicle monitoring index.
And a current index value obtaining module 704, configured to obtain a current index value and current location information corresponding to the target vehicle monitoring index according to the target vehicle monitoring data.
And a target comparison result obtaining module 706, configured to compare the current index value with a preset index value corresponding to the target vehicle monitoring index, so as to obtain a target comparison result.
And the target abnormal grade determining module 708 is used for determining a target abnormal grade corresponding to the target vehicle monitoring index according to the target comparison result.
And a target abnormal grade sending module 710, configured to send the current position information and the target abnormal grade to a vehicle abnormal prompting terminal, so that the vehicle abnormal prompting terminal displays the abnormal grade prompting information on an abnormal display interface according to the target abnormal grade, acquires a regional map corresponding to the current position information, and indicates an abnormal position on the regional map according to the current position information.
In some embodiments, the target vehicle monitoring indicator includes a traffic indicator corresponding to a target area, the target area has a first entry area and a second entry area, the current indicator value includes a first indicator value corresponding to the first entry area and a second indicator value corresponding to the second entry area, and the target comparison result obtaining module 706 includes:
and the first comparison result obtaining unit is used for comparing the first index value with a first preset index value corresponding to the target vehicle monitoring index to obtain a first comparison result.
And the second comparison result obtaining unit is used for comparing the second index value with a second preset index value corresponding to the target vehicle monitoring index to obtain a second comparison result.
And the target comparison result obtaining unit is used for taking the first comparison result and the second comparison result as target comparison results.
In some embodiments, the target anomaly level determination module 708 includes:
and the first abnormity grade determination unit is used for determining a first abnormity grade corresponding to the traffic according to the first comparison result. Wherein the second entrant region precedes the first entrant region.
And the target abnormal grade determining unit is used for determining a target abnormal grade corresponding to the traffic index according to the first abnormal grade and the second comparison result.
In some embodiments, the second index value includes vehicle speed related information corresponding to the second entry area, and the target abnormality level determination unit is further configured to, when the second comparison result is that the vehicle speed related information is greater than the preset speed information corresponding to the traffic index, raise the abnormality level on the basis of the first abnormality level to obtain the target abnormality level corresponding to the traffic index.
In some embodiments, the target comparison result obtaining module 706 is further configured to calculate a difference between the current index value and a preset index value, so as to obtain an index value difference, where the preset index value is an index value corresponding to the target vehicle monitoring index being normal.
The target abnormal level determining module 708 is further configured to determine a target abnormal level according to the index value difference, where the index value difference and the target abnormal level have a positive correlation.
In some embodiments, the target anomaly level determination module 708 includes:
and the candidate abnormal grade set acquisition unit is used for acquiring a candidate abnormal grade set corresponding to the target vehicle monitoring index, and the candidate abnormal grade in the candidate abnormal grade set is determined according to the influence degree corresponding to the target vehicle monitoring index.
And the target abnormal grade obtaining unit is used for screening the candidate abnormal grade set to obtain a target abnormal grade corresponding to the target vehicle monitoring index according to the target comparison result.
For specific limitations of the vehicle monitoring data processing device, reference may be made to the above limitations of the vehicle monitoring data processing method, which are not described herein again. The various modules in the vehicle monitoring data processing device can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In some embodiments, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 9. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a vehicle monitoring data processing method.
Those skilled in the art will appreciate that the architecture shown in fig. 9 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In some embodiments, a computer device is provided, comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of the vehicle monitoring data processing method described above when executing the computer program.
In some embodiments, a computer-readable storage medium is provided, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the above-mentioned vehicle monitoring data processing method.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method of processing vehicle monitoring data, the method comprising:
acquiring target vehicle monitoring data corresponding to target vehicle monitoring indexes; the target vehicle monitoring index comprises a traffic index corresponding to a target area; the target vehicle monitoring index is determined according to a current state of an event held in the target area;
obtaining a current index value and current position information corresponding to the target vehicle monitoring index according to the target vehicle monitoring data;
comparing the current index value with a preset index value corresponding to the target vehicle monitoring index to obtain a target comparison result; when the current state is in progress, the current index value comprises a first index value corresponding to the first entry area and a second index value corresponding to the second entry area; the step of comparing the current index value with a preset index value corresponding to the target vehicle monitoring index to obtain a target comparison result comprises the following steps: comparing the first index value with a first preset index value corresponding to the target vehicle monitoring index to obtain a first comparison result, comparing the second index value with a second preset index value corresponding to the target vehicle monitoring index to obtain a second comparison result, and taking the first comparison result and the second comparison result as target comparison results;
determining a target abnormal grade corresponding to the target vehicle monitoring index according to the target comparison result;
and sending the current position information and the target abnormal grade to a vehicle abnormal prompting terminal so that the vehicle abnormal prompting terminal displays abnormal grade prompting information on an abnormal display interface according to the target abnormal grade, acquires a regional map corresponding to the current position information, and indicates an abnormal position on the regional map according to the current position information.
2. The method of claim 1, wherein the target vehicle monitoring indicator comprises a zombie car parking duration when the current state is pre-process, and the preset indicator value corresponding to the target vehicle monitoring indicator comprises a vehicle parking duration threshold.
3. The method of claim 1, wherein determining a target anomaly level corresponding to the target vehicle monitoring indicator according to the target comparison result comprises:
determining a first abnormal grade corresponding to the traffic index according to the first comparison result; wherein the second entrant region precedes the first entrant region;
and determining the target abnormal grade corresponding to the traffic index according to the first abnormal grade and the second comparison result.
4. The method of claim 3, wherein the second indicator value comprises vehicle speed related information for a second ingress area, and wherein determining the target anomaly level for the traffic indicator based on the first anomaly level and the second comparison comprises:
and when the second comparison result is that the vehicle speed related information is larger than the preset speed information corresponding to the traffic index, improving the abnormal grade on the basis of the first abnormal grade to obtain the target abnormal grade corresponding to the traffic index.
5. The method of claim 1, wherein the comparing the current index value with a preset index value corresponding to the target vehicle monitoring index to obtain a target comparison result further comprises:
calculating the difference between the current index value and the preset index value to obtain an index value difference, wherein the preset index value is an index value corresponding to the target vehicle monitoring index when the target vehicle monitoring index is normal;
the determining the target abnormal grade corresponding to the target vehicle monitoring index according to the target comparison result comprises:
and determining a target abnormal level according to the index value difference, wherein the index value difference and the target abnormal level form a positive correlation relationship.
6. The method of claim 1, wherein determining a target anomaly level corresponding to the target vehicle monitoring indicator according to the target comparison result comprises:
acquiring a candidate abnormal grade set corresponding to the target vehicle monitoring index, wherein the candidate abnormal grade in the candidate abnormal grade set is determined according to the influence degree corresponding to the target vehicle monitoring index;
and screening the candidate abnormal grade set to obtain a target abnormal grade corresponding to the target vehicle monitoring index according to the target comparison result.
7. A vehicle monitoring data processing apparatus, characterized in that the apparatus comprises:
the target vehicle monitoring data acquisition module is used for acquiring target vehicle monitoring data corresponding to the target vehicle monitoring index; the target vehicle monitoring index comprises a traffic index corresponding to a target area; the target vehicle monitoring index is determined according to a current state of an event held in the target area;
a current index value obtaining module, configured to obtain a current index value and current position information corresponding to the target vehicle monitoring index according to the target vehicle monitoring data;
a target comparison result obtaining module, configured to compare the current index value with a preset index value corresponding to the target vehicle monitoring index to obtain a target comparison result; the target area corresponds to a first entry area and a second entry area, and when the current state is in progress, the current index value comprises a first index value corresponding to the first entry area and a second index value corresponding to the second entry area; the target comparison result obtaining module comprises: a first comparison result obtaining unit, configured to compare the first index value with a first preset index value corresponding to the target vehicle monitoring index, so as to obtain a first comparison result; a second comparison result obtaining unit, configured to compare the second index value with a second preset index value corresponding to the target vehicle monitoring index, so as to obtain a second comparison result; a target comparison result obtaining unit configured to take the first comparison result and the second comparison result as target comparison results;
the target abnormal grade determining module is used for determining a target abnormal grade corresponding to the target vehicle monitoring index according to the target comparison result;
and the target abnormal grade sending module is used for sending the current position information and the target abnormal grade to a vehicle abnormal prompting terminal so that the vehicle abnormal prompting terminal displays the abnormal grade prompting information on an abnormal display interface according to the target abnormal grade, acquires a regional map corresponding to the current position information, and indicates an abnormal position on the regional map according to the current position information.
8. The apparatus of claim 7, wherein when the current state is pre-processing, the target vehicle monitoring indicator comprises a zombie car parking duration, and the preset indicator value corresponding to the target vehicle monitoring indicator comprises a vehicle parking duration threshold.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 6.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
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| CN116416795B (en) * | 2023-04-06 | 2023-11-10 | 广东云钜网络科技有限公司 | Zombie car monitoring method and system based on traffic big data |
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