CN113888876A - Traffic running state perception-based holiday service area traffic early warning method and system - Google Patents
Traffic running state perception-based holiday service area traffic early warning method and system Download PDFInfo
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- G—PHYSICS
- G08—SIGNALLING
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- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0133—Traffic data processing for classifying traffic situation
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/065—Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
Abstract
The embodiment of the invention discloses a holiday service area flow early warning method and system based on traffic running state perception, relates to the field of traffic big data analysis early warning, and can timely master traffic flow early warning data of each service area, effectively make early warning and control traffic flow. The invention comprises the following steps: the server receives the data reported by the front-end equipment through a network communication thread M and stores the data in a message queue Q; taking out data from the message queue Q through a streaming processing thread S1 for analysis, obtaining parking data, then respectively accessing the relational database, the file type database and the cache type database, updating parking space conditions recorded in R1 and C1, and storing parking records in F; and reading the occupancy data and the early warning threshold data of the parking spaces from the C1 and the C2 through the streaming analysis thread S2 to obtain the traffic flow early warning result of the service area, and storing the early warning result into the R3.
Description
Technical Field
The invention relates to the field of traffic big data analysis and early warning, in particular to a holiday service area traffic early warning method and system based on traffic running state perception.
Background
The state puts forward top-level design requirements in the field of intelligent transportation and traffic informatization, and how to apply a big data technology to the information construction process of service areas is being tried in all highway service areas in the country by the east wind. Under the big background of rapid development of new generation information and intelligent technologies such as big data, cloud computing, artificial intelligence and the like, the management and service of traffic are better realized by comprehensively acquiring, deeply analyzing, comprehensively studying and judging, intelligently generating a countermeasure scheme, accurately deciding, applying a system and circularly optimizing traffic related information through various intelligent means, the subversive change of the traffic industry is promoted, the efficiency of the traffic industry is improved, and the product and service forms are enriched.
With the rapid increase of the passenger flow in the service area, especially during holidays, a large number of tourists rush into the service area, and huge examination is brought to each work in the service area. And along with the popularization of new energy vehicles, the large-traffic of service area also can cause and fill electric pile and occupy, and the latency of lining up is overlength scheduling problem to the chaotic degree in festival holiday service area has further been increased.
Therefore, how to timely master the traffic flow early warning data of each service area, and effectively make early warning and control the traffic flow, thereby providing the most convenient and optimal service for people going out and greatly reducing the working pressure of the service areas.
Disclosure of Invention
The embodiment of the invention provides a holiday service area traffic early warning method and system based on traffic running state perception, which can timely master traffic flow early warning data of each service area, effectively make early warning and control traffic flow.
In order to achieve the above purpose, the embodiment of the invention adopts the following technical scheme:
in a first aspect, a traffic operation state awareness-based holiday service area traffic early warning method provided by an embodiment of the present invention includes:
s1, the server receives the data reported by the front-end equipment through a network communication thread M and stores the data in a message queue Q;
s2, taking out data from the message queue Q through a streaming processing thread S1 for analysis, obtaining parking data, then respectively accessing the relational database, the file type database and the cache type database, updating parking space conditions recorded in R1 and C1, and storing parking records in F;
and S3, reading the occupancy data and the early warning threshold data of the parking spaces from the C1 and the C2 through a streaming analysis thread S2, obtaining the traffic flow early warning result of the service area, and storing the early warning result into R3.
In a second aspect, the traffic operation state perception-based traffic flow early warning system for holiday service areas of the invention comprises:
front end equipment and rear end cluster, front end equipment is including arranging the vehicle monitoring facilities that go out at service area entry and export, the rear end cluster includes: the parking space real-time state monitoring system comprises a server, a relational database, a file-type database and a cache-type database, wherein a parking space table R1, a first early warning threshold value table R2 and an early warning table R3 are stored in the relational database, a parking record table F is stored in the file-type database, a parking space real-time state table C1 and a second early warning threshold value table C2 are stored in the cache-type database, and the server is in network communication with the front-end equipment;
the server is used for receiving the data reported by the front-end equipment through a network communication thread M and storing the data into a message queue Q; then, taking out data from the message queue Q through a streaming processing thread S1 for analysis, obtaining parking data, and then respectively accessing the relational database, the file type database and the cache type database;
the relational database is used for updating R1 according to the access operation of the server;
the cache type database is used for updating C1 according to the access operation of the server;
the file type database is used for storing parking records into F;
the server is further used for reading the occupancy data and the early warning threshold data of the parking spaces from the C1 and the C2 through a streaming analysis thread S2 to obtain a traffic flow early warning result of the service area;
the relational database is also used for storing the early warning result into R3.
The invention provides a method for realizing traffic flow early warning in a holiday service area based on traffic running state perception data. Firstly, setting parking space attributes and early warning thresholds of various types in a service area according to basic conditions of the service area for inquiry, update and comparison. And then, updating the free number of the parking spaces of the corresponding types according to vehicle access data reported by the vehicle monitoring equipment at the entrance and the exit of the service area. And then, regularly inquiring the free parking spaces of the parking spaces of various types, comparing the free parking spaces with an early warning threshold value, and judging whether a traffic flow early warning exists in a service area or not according to a comparison result. The invention can quickly, accurately and reliably obtain the traffic flow early warning information of the holiday service area. Therefore, traffic flow early warning data of each service area can be mastered in time, data changes of each service area are integrated, reasonable measures are taken in time, traffic flow is controlled, optimal and most convenient service is provided for people to go out, and meanwhile, the working pressure of the service areas is greatly reduced.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used 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 it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of an embodiment provided by an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a method provided by an embodiment of the present invention;
fig. 3 is a schematic diagram of a system architecture according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the present invention will be described in further detail with reference to the accompanying drawings and specific embodiments. Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention. As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or coupled. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items. It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
The design idea of the invention is roughly as follows: the method comprises the steps of analyzing and storing vehicle access data reported by vehicle monitoring equipment at an entrance and an exit of a service area into the idle number of the corresponding type of parking spaces, comparing the idle parking spaces of each type of parking spaces with an early warning threshold value periodically, and judging whether the traffic flow early warning of the service area exists or not according to an analysis method, so that the traffic flow early warning of the service area is timely and accurate.
The embodiment of the invention provides a traffic running state perception-based holiday service area traffic early warning method, which is used for a system shown in figure 3, and the system comprises the following components: the system comprises a front-end device and a back-end cluster, wherein the front-end device comprises vehicle monitoring devices arranged at an inlet and an outlet of a service area. The detection device may be a camera, and is configured to capture an entrance and an exit of the service area in real time, transmit the video stream to the video server, and analyze the video stream and determine the traffic flow by the video server, where a specific manner of analyzing the video stream and determining the traffic flow may be an existing traffic flow analysis manner.
The back-end cluster includes: the parking space real-time warning system comprises a server, a relational database, a file-type database and a cache-type database, wherein a parking space table R1, a first warning threshold table R2 and a warning table R3 are stored in the relational database, a parking record table F is stored in the file-type database, a parking space real-time state table C1 and a second warning threshold table C2 are stored in the cache-type database, and the server is in network communication with the front-end equipment. Specifically, a relational database parking space table R1, an early warning threshold table R2, and an early warning table R3 may be defined in advance, where R1 and R2 set initial values; predefining a file type database parking record table F; a buffer type database parking space real-time state table C1 and an early warning threshold value table C2 are defined in advance, and initial values are set.
As shown in fig. 2, the method includes:
and S1, the server receives the data reported by the front-end equipment through the network communication thread M and stores the data in the message queue Q.
As shown in fig. 1, the server device receives data reported by the service area entrance and exit monitoring devices through the network communication thread M, and the network communication thread M receives data reported by the service area entrance and exit monitoring devices, stores the data into the message queue Q after preliminary verification.
And S2, taking out data from the message queue Q through the streaming processing thread S1 for analysis, obtaining parking data, then respectively accessing the relational database, the file type database and the cache type database, updating the parking space conditions recorded in R1 and C1, and storing parking records in F.
The streaming processing thread S1 takes out data from the Q, analyzes the data to obtain parking data, updates the R1 and C1 parking space number, and stores parking records into the F
And S3, reading the occupancy data and the early warning threshold data of the parking spaces from the C1 and the C2 through a streaming analysis thread S2, obtaining the traffic flow early warning result of the service area, and storing the early warning result into R3.
The stream analysis thread S2 regularly takes out parking spaces and early warning threshold data from the C1 and the C2, obtains a result of whether a traffic flow early warning exists in a service area after analysis, and stores the early warning result in the R3. In practical applications, asynchronous high-performance, high-availability, high-speed, high-throughput network communication, data analysis and data storage are realized by using technologies such as network communication threads, streaming processing and analysis threads, message queues, file type databases, cache type databases and the like.
Further, in this embodiment, the length of the license plate and the letters in the license plate number can be identified by the vehicle monitoring device, and a vehicle with the license plate length close to 480mm and the letters D or F in the license plate number is determined as a new energy vehicle;
or, identifying the length and the color of the license plate and the letters in the license plate number through the vehicle monitoring equipment, and judging that the vehicle is a new energy vehicle when the length of the license plate is close to 480mm, the letters D or F exist in the license plate number and the green vehicle exists in the license plate number. Specifically, R1 includes parking space type, number of parking spaces, number of vacant parking spaces, and update time, where the initial data of R1 is 3 pieces. The R2 comprises parking space types and early warning thresholds, wherein R2 comprises 3 pieces of initial data. R3 includes parking space type, alarm state, alarm time and processing state. The F comprises the vehicle type, the license plate number, the in-out time and the in-out state. The C1 includes parking space type, number of parking spaces, number of vacant parking spaces, and update time, wherein 3 pieces of C1 initial data are included. The C2 includes parking space type and early warning threshold, wherein, 3 pieces of C2 initial data are included. For example:
fields in R1 include parking space type (1: xiao passenger; 2: da passenger; 3: van; 4: new energy vehicle), number of parking spaces left, update time (yyyy-mm-dd HH: mm: ss), and 3 pieces of R1 initial data are set.
Fields in R2 include parking space type (1: small passenger; 2: large passenger; 3: truck; 4: new energy vehicle), early warning threshold, and 3 pieces of initial data of R2 are set.
Fields in R3 include parking space type (1: small passenger; 2: large passenger; 3: truck; 4: new energy vehicle), alarm status (0: no alarm; 1 alarm), alarm time (yyyy-mm-dd HH: mm: ss), processing status (0 unprocessed; 1 processed).
Fields in F include the model (1: little passenger; 2: big passenger; 3: truck; 4: new energy vehicle), license plate number, in-out time (yyyy-mm-dd HH: mm: ss), in-out status (0: in; 1: out).
Fields in C1 include parking space type (1: xiao ke; 2: da ke; 3: wagon; 4: new energy vehicle), number of parking spaces, number of vacant parking spaces, update time (yyyy-mm-dd HH: mm: ss), and 3 pieces of C1 initial data are set;
fields in C2 include parking space type (1: small passenger; 2: large passenger; 3: truck; 4: new energy vehicle), warning threshold, and 3 pieces of initial data set C2.
And initial values of R1, R2, C1 and C2 may be set in advance, respectively, wherein the initial values of R1, R2, C1 and C2 are set according to the actual number of parking spaces of each type in the service area and the warning requirement, the initial value of C1 may be the same as that of R1, and the initial value of C2 may be the same as that of R2.
In this embodiment, S1 includes: the network communication thread M can be connected with the vehicle monitoring equipment at the entrance and the exit of the service area in a TCP/IP, UDP or MQTT mode and receives the data reported by the vehicle monitoring equipment. And verifying the integrity of the data reported by the vehicle monitoring equipment by using parity check, storing the data into a message queue Q after the data is verified to be qualified, and otherwise, discarding the data.
In this embodiment, S2 includes:
the streaming processing thread S1 extracts data from the message queue Q, analyzes the data, and analyzes the entry or exit of the vehicle, where the obtained parking data includes: vehicle type, license plate number, access time and access state. If the vehicle enters the service area, subtracting 1 from the number of the idle parking spaces of the corresponding vehicle type; and if the vehicle leaves the service area, adding 1 to the idle number of the parking spaces of the corresponding vehicle type. And then updating the fields of the number of free parking spaces and the updating time recorded in the R1 and the C1.
Specifically, when Q has new data, the streaming processing thread S1 takes out a piece of data from Q, analyzes and acquires data such as a vehicle type, a license plate number, entry and exit time, and an entry and exit state according to a protocol, and determines whether a vehicle is entering a service area or exiting the service area. If the vehicle enters the service area, subtracting 1 from the idle number of the parking spaces of the corresponding vehicle type; and if the vehicle leaves the service area, adding 1 to the idle number of the parking spaces of the corresponding vehicle type. The table of records to be updated is the parking space free number, update time field of R1 and C1. The table that needs the new record is the F full fields.
In this embodiment, S3 includes: determining the free number N1 of the small passenger parking spaces, the free number N2 of the large passenger parking spaces, the free number N3 of the truck parking spaces and the free number N4 of the new energy parking spaces from the C1, wherein the data of the occupation conditions of the parking spaces comprise: parking space type, number of parking spaces, and parking space free number. The early warning threshold data read from C2 includes: the early warning threshold value B1 for the passenger parking space, the early warning threshold value B2 for the passenger parking space, the early warning threshold value B3 for the truck parking space and the early warning threshold value B4 for the new energy vehicle parking space.
Wherein the streaming analysis thread S2 periodically fetches parking spaces and warning threshold data from C1 and C2. And respectively defining the number N1 of vacant parking spaces for passengers, the number N2 of vacant parking spaces for passengers, the number N3 of vacant parking spaces for trucks and the number N4 of vacant parking spaces for new energy vehicles. Meanwhile, a small passenger parking space early warning threshold B1, a large passenger parking space early warning threshold B2, a truck parking space early warning threshold B3 and a new energy vehicle parking space early warning threshold B4 are respectively defined.
In this embodiment, in S3, the process of obtaining the traffic flow warning result of the service area includes:
if N1< B1, the result of the traffic flow warning comprises a serving cell traffic flow warning.
And if N2< B2, the result of the traffic flow warning comprises a service area passenger traffic flow warning.
And if N3< B3, the result of the traffic flow warning comprises a service area truck traffic flow warning.
And if N4< B4, the result of the traffic flow warning comprises a service area new energy vehicle traffic flow warning. And if N1< B1 and N2< B2 and N3< B3 and N4< B4, the result of the traffic flow warning includes a service area overall traffic flow warning.
For example: if (N1< B1), if true, then serving cell traffic flow warning; if the result is true, carrying out if (N2< B2), and if the result is true, carrying out service area passenger traffic flow early warning; if the vehicle is in the if state (N3< B3), if the vehicle is in the true state, the service area truck traffic flow early warning is carried out; if the vehicle is in the service area, executing if (N4< B4), and if the vehicle is in the service area, early warning the traffic flow of the new energy vehicle in the service area; if is performed ((N1< B1) & (N2< B2) & (N3< B3) & (N4< B4)), the service area overall traffic flow is early warned. And finally, storing the early warning result obtained after analysis into R3.
In this embodiment, the parking space attributes and the early warning threshold of each type in the service area are first set according to the basic conditions of the service area, so as to provide query, update and comparison. And then, updating the free number of the parking spaces of the corresponding types according to vehicle access data reported by the vehicle monitoring equipment at the entrance and the exit of the service area. And then, regularly inquiring the free parking spaces of the parking spaces of various types, comparing the free parking spaces with an early warning threshold value, and judging whether a traffic flow early warning exists in a service area or not according to a comparison result. Therefore, traffic flow early warning information in the holiday service area can be obtained quickly, accurately and reliably. The vehicle access data reported by the vehicle monitoring equipment at the entrance and the exit of the service area are analyzed and stored as the idle number of the corresponding type of parking spaces, meanwhile, the idle parking spaces of each type of parking spaces are compared with the early warning threshold value at regular intervals, and whether the traffic flow early warning of the service area exists or not is judged according to the analysis method, so that the timely and accurate early warning of the traffic flow of the service area is realized, and the requirements of actual conditions are met.
In practical application, the network communication thread supports various codes and decoders and various mainstream protocols, so that the problems of different communication protocols and different communication modes of various vehicle monitoring devices can be effectively solved; the message queue is a persistent high-throughput data storage and is used as a connection point for data access and data processing, so that the problem of data loss caused by untimely processing after data receiving can be effectively solved; the stream processing and stream analysis adopt a memory to process data, a query optimization program and a physical execution engine, and realize high-performance processing analysis of batch and stream data.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the apparatus embodiment, since it is substantially similar to the method embodiment, it is relatively simple to describe, and reference may be made to some descriptions of the method embodiment for relevant points. The above description is only for the specific embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (9)
1. A traffic operation state perception-based holiday service area traffic early warning method is used for a system, and the system comprises: front end equipment and rear end cluster, front end equipment is including arranging the vehicle monitoring facilities that go out at service area entry and export, the rear end cluster includes: the parking space real-time state monitoring system comprises a server, a relational database, a file-type database and a cache-type database, wherein a parking space table R1, a first early warning threshold value table R2 and an early warning table R3 are stored in the relational database, a parking record table F is stored in the file-type database, a parking space real-time state table C1 and a second early warning threshold value table C2 are stored in the cache-type database, and the server is in network communication with the front-end equipment;
the method comprises the following steps:
s1, the server receives the data reported by the front-end equipment through a network communication thread M and stores the data in a message queue Q;
s2, taking out data from the message queue Q through a streaming processing thread S1 for analysis, obtaining parking data, then respectively accessing the relational database, the file type database and the cache type database, updating parking space conditions recorded in R1 and C1, and storing parking records in F;
and S3, reading the occupancy data and the early warning threshold data of the parking spaces from the C1 and the C2 through a streaming analysis thread S2, obtaining the traffic flow early warning result of the service area, and storing the early warning result into R3.
2. The method according to claim 1, wherein the R1 includes parking space type, number of parking spaces, number of vacant parking spaces and update time, wherein the initial data of R1 is 3 pieces;
the R2 comprises parking space types and early warning thresholds, wherein 3 pieces of R2 initial data are included;
r3 comprises parking space type, alarm state, alarm time and processing state;
f comprises the vehicle type, the license plate number, the in-out time and the in-out state;
the C1 comprises parking space types, the number of parking spaces, the number of free parking spaces and updating time, wherein 3 pieces of C1 initial data are included;
the C2 includes parking space type and early warning threshold, wherein, 3 pieces of C2 initial data are included.
3. The method of claim 2, further comprising:
identifying the length of the license plate and the letters in the license plate number through the vehicle monitoring equipment, and judging the vehicle with the length of the license plate close to 480mm and the letters D or F in the license plate number as a new energy vehicle;
or, identifying the length and the color of the license plate and the letters in the license plate number through the vehicle monitoring equipment, and judging that the vehicle is a new energy vehicle when the length of the license plate is close to 480mm, the letters D or F exist in the license plate number and the green vehicle exists in the license plate number.
4. The method of claim 1 or 2, further comprising:
initial values of R1, R2, C1, and C2 are set, respectively, wherein the initial value of C1 is the same as R1, and the initial value of C2 is the same as R2.
5. The method according to claim 1, wherein in S1 comprises:
the network communication thread M is connected with the vehicle monitoring equipment at the entrance and the exit of the service area and receives the data reported by the vehicle monitoring equipment;
and verifying the integrity of the data reported by the vehicle monitoring equipment by using parity check, storing the data into a message queue Q after the data is verified to be qualified, and otherwise, discarding the data.
6. The method according to claim 1, wherein in S2 comprises:
the streaming processing thread S1 extracts data from the message queue Q, analyzes the data, and analyzes the entry or exit of the vehicle, where the obtained parking data includes: vehicle type, license plate number, in-out time and in-out state;
if the vehicle enters the service area, subtracting 1 from the number of the idle parking spaces of the corresponding vehicle type; if the vehicle leaves the service area, adding 1 to the idle number of the parking spaces of the corresponding vehicle type;
and then updating the fields of the number of free parking spaces and the updating time recorded in the R1 and the C1.
7. The method according to claim 3, wherein in S3 comprises:
determining the free number N1 of the passenger parking spaces, the free number N2 of the passenger parking spaces, the free number N3 of the wagon parking spaces and the free number N4 of the new energy vehicle parking spaces from the C1, wherein the occupancy data of the parking spaces comprises: parking space type, number of parking spaces and free number of parking spaces;
the early warning threshold data read from C2 includes: the early warning threshold value B1 for the passenger parking space, the early warning threshold value B2 for the passenger parking space, the early warning threshold value B3 for the truck parking space and the early warning threshold value B4 for the new energy vehicle parking space.
8. The method according to claim 7, wherein the obtaining of the result of the traffic flow warning of the service area in S3 comprises:
if N1< B1, the traffic flow early warning result comprises a service area small passenger traffic flow early warning;
and if N2< B2, the traffic flow early warning result comprises a service area passenger traffic flow early warning;
and if N3< B3, the result of the traffic flow early warning comprises a service area truck traffic flow early warning;
and if N4< B4, the traffic flow early warning result comprises a new energy vehicle traffic flow early warning in the service area;
and if N1< B1 and N2< B2 and N3< B3 and N4< B4, the result of the traffic flow warning includes a service area overall traffic flow warning.
9. A traffic running state perception-based traffic early warning system for holiday service areas is characterized by comprising: front end equipment and rear end cluster, front end equipment is including arranging the vehicle monitoring facilities that go out at service area entry and export, the rear end cluster includes: the parking space real-time state monitoring system comprises a server, a relational database, a file-type database and a cache-type database, wherein a parking space table R1, a first early warning threshold value table R2 and an early warning table R3 are stored in the relational database, a parking record table F is stored in the file-type database, a parking space real-time state table C1 and a second early warning threshold value table C2 are stored in the cache-type database, and the server is in network communication with the front-end equipment;
the server is used for receiving the data reported by the front-end equipment through a network communication thread M and storing the data into a message queue Q; then, taking out data from the message queue Q through a streaming processing thread S1 for analysis, obtaining parking data, and then respectively accessing the relational database, the file type database and the cache type database;
the relational database is used for updating R1 according to the access operation of the server;
the cache type database is used for updating C1 according to the access operation of the server;
the file type database is used for storing parking records into F;
the server is further used for reading the occupancy data and the early warning threshold data of the parking spaces from the C1 and the C2 through a streaming analysis thread S2 to obtain a traffic flow early warning result of the service area;
the relational database is also used for storing the early warning result into R3.
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Application publication date: 20220104 |