CN111339146A - Method and device for inquiring rail transit monitoring data - Google Patents
Method and device for inquiring rail transit monitoring data Download PDFInfo
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- CN111339146A CN111339146A CN202010150536.7A CN202010150536A CN111339146A CN 111339146 A CN111339146 A CN 111339146A CN 202010150536 A CN202010150536 A CN 202010150536A CN 111339146 A CN111339146 A CN 111339146A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
- G06F16/24553—Query execution of query operations
- G06F16/24554—Unary operations; Data partitioning operations
- G06F16/24556—Aggregation; Duplicate elimination
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2457—Query processing with adaptation to user needs
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2477—Temporal data queries
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/248—Presentation of query results
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Abstract
The invention discloses a method and a device for inquiring rail transit monitoring data, which are characterized by receiving a regional rail transit data inquiry request input by a terminal user, wherein the regional road condition data inquiry request carries inquiry information, acquiring rail road section data matched with the inquiry information, returning the unit rail road section data to the terminal user, receiving a road section traffic vehicle data request, wherein the road section inquiry request comprises a filtering condition and an aggregation condition, and grouping road sections meeting the filtering condition, so that the condition of each road can be quickly inquired, and the data storage cost is saved.
Description
Technical Field
The invention particularly relates to the technical field of rail transit, and particularly relates to a method and a device for inquiring rail transit monitoring data.
Background
With the rapid development of rail transit, rail transit becomes an important vehicle for daily trips of urban residents, and rail transit has many passengers and large passenger flow, which becomes a big problem of safe operation of rail transit at present. The video monitoring system introduced later provides comprehensive on-site monitoring information for the operation department to a certain extent, and the operation department can know the safety condition in the rail station in real time through the information.
The existing track traffic is inconvenient to query, the cost of hardware with the largest data storage is high, a special database system needs to be developed to manage the data, the most essential idea of the existing track traffic is to acquire a large storage space by using an expansion piece device, the storage capacity is increased, the query processing time is greatly increased, although the parallel database technology utilizes the high-speed processing speed acquired by a plurality of processors, the cost is increased, and the processing increasing speed is lower than the processing speed of the hardware device. When the data volume is large, the time and expense needed by operations such as data query and analysis are large, and the requirements of rapid data browsing and analysis processing cannot be met.
Disclosure of Invention
The invention aims to overcome the problems in the prior art and provides a method and a device for inquiring rail transit monitoring data.
In order to achieve the technical purpose and achieve the technical effect, the invention is realized by the following technical scheme: a method for inquiring rail transit monitoring data comprises the steps of S1, receiving a regional rail transit data inquiry request input by a terminal user, wherein the regional road condition data inquiry request carries inquiry information;
step S2: acquiring track section data matched with the query information, returning the unit track section data to the terminal user, and receiving a traffic vehicle data request of the section;
step S3: the road section query request comprises a filtering condition and an aggregation condition, and road sections meeting the filtering condition are grouped;
further, the step S1 or S2: acquiring regional geographical position information matched with the query information, wherein the data comprises: and acquiring data of all road vehicles monitored in the preset range of the regional geographical position information.
Further, the step S3: dividing congestion time data which belong to the same geographical position information preset range of the same region and comprise the same preset road traffic into a set, taking a first combination of half an hour as a first set, taking a second combination of one hour as a second set, and determining the position relation of the geographical position information of a plurality of sub-regions; and arranging a plurality of sets according to the position relation from top to bottom and/or from left to right, and responding the combined result of the first combination and the second combination to the traffic congestion time inquiry request for viewing.
An inquiry device of rail transit monitoring data comprises: the device comprises a monitoring module, a receiving module, a grouping module, an emergency response module, a processor and a memory.
Further, the monitoring module is used for receiving and storing the geographical position information of each road section in advance.
Further, the receiving module is used for receiving a track traffic section query request, and the section query request comprises a filtering condition and an aggregation condition.
Furthermore, the grouping module is used for screening the position information of each road and rejecting the road meeting the filtering condition.
Further, the emergency response module is used for responding to the query request of the road condition according to the grouping result.
Further, the memory is used for storing a computer program, the processor is used for executing the computer program stored in the memory, so that the terminal executes the method for inquiring the road condition of the rail transit according to any one of claims 1 to 3, the data memory checks a newly stored numerical monitoring data file in real time and converts the numerical monitoring data file into a binary form for storage, the data storage system adopts a cloud computing platform, the memory extracts metadata of the monitoring data file and stores the metadata as a data record in the metadata file, and the metadata comprises a file name, an offset of a field in the monitoring data file, and a size of the monitoring file.
The benefit effects of the invention are: receiving a regional track traffic data query request input by a terminal user, wherein the regional road condition data query request carries query information, acquiring track road section data matched with the query information, returning unit track road section data to the terminal user, receiving a road section traffic vehicle data request, wherein the road section query request comprises a filtering condition and an aggregation condition, and grouping road sections meeting the filtering condition, and the step S1 or S2: acquiring regional geographical position information matched with the query information, wherein the data comprises: acquiring all road vehicle monitoring data within the preset range of the regional geographical position information, and step S3: dividing congestion time data which belong to the same geographical position information preset range of the same region and comprise the same preset road traffic into a set, taking a first combination of half an hour as a first set, taking a second combination of one hour as a second set, and determining the position relation of the geographical position information of a plurality of sub-regions; and arranging the sets in the order from top to bottom and/or from left to right according to the position relation, and responding the combined result of the first combination and the second combination to a traffic congestion time inquiry request for viewing.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced 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 block diagram of the method of the present invention;
FIG. 2 is a block diagram of the process of the present invention;
FIG. 3 is a diagram of a memory module of the present invention;
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1-3, the present embodiment is a method for querying rail traffic monitoring data, and in step S1, a regional rail traffic data query request entered by a terminal user is received, where the regional road condition data query request carries query information;
step S2: acquiring track section data matched with the query information, returning unit track section data to a terminal user, and receiving a traffic vehicle data request of the section;
step S3: the road section query request comprises a filtering condition and an aggregation condition, and road sections meeting the filtering condition are grouped;
wherein, the step S1 or S2: acquiring regional geographical position information matched with the query information, wherein the data comprises: and acquiring all road vehicle monitoring data within the preset range of the regional geographical position information.
Wherein, step S3: dividing congestion time data which belong to the same geographical position information preset range of the same region and comprise the same preset road traffic into a set, taking a first combination of half an hour as a first set, taking a second combination of one hour as a second set, and determining the position relation of the geographical position information of a plurality of sub-regions; and arranging the sets in the order from top to bottom and/or from left to right according to the position relation, and responding the combined result of the first combination and the second combination to a traffic congestion time inquiry request for viewing.
An inquiry device of rail transit monitoring data comprises: the system comprises a monitoring module, a receiving module, a grouping module, an emergency response module, a processor and a memory, wherein the monitoring module is used for receiving and storing geographical position information of each road section in advance, the receiving module is used for receiving a track traffic road section query request which comprises a filtering condition and a polymerization condition, the grouping module is used for screening the position information of each road and rejecting and checking the position information meeting the filtering condition, the emergency response module is used for responding to the query request of the road condition according to the grouping result, the memory is used for storing a computer program, the processor is used for executing the computer program stored in the memory so as to enable the terminal to execute the track traffic road condition query method as claimed in any one of claims 1 to 3, the data memory is used for checking a newly stored numerical monitoring data file in real time and converting the numerical monitoring data file into a binary form for storage, and the data storage system adopts a cloud computing, the memory extracts the metadata of the monitoring data file and stores the metadata as a data record in the metadata file, wherein the metadata comprises a file name, an offset of a field in the monitoring data file and a monitoring file size.
One specific application of this embodiment is: receiving a regional track traffic data query request input by a terminal user, wherein the regional road condition data query request carries query information, acquiring track road section data matched with the query information, returning unit track road section data to the terminal user, receiving the road section traffic vehicle data request, wherein the road section query request comprises a filtering condition and a polymerization condition, grouping road sections meeting the filtering condition, and acquiring regional geographical position information and data matched with the query information, wherein the data comprises: acquiring data of all road vehicle monitoring in a preset range of regional geographical position information, dividing congestion time data which belong to the same preset range of regional geographical position information and comprise the same preset road traffic into a set, taking a first combination of half an hour as a first set, taking a second combination of one hour as a second set, and determining the position relation of the geographical position information of a plurality of sub-regions; and arranging the sets in the order from top to bottom and/or from left to right according to the position relation, and responding the combined result of the first combination and the second combination to a traffic congestion time inquiry request for viewing.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or the like described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (9)
1. A method for inquiring rail transit monitoring data is characterized in that:
step S1, receiving a regional rail transit data query request input by a terminal user, wherein the regional road condition data query request carries query information;
step S2: acquiring track section data matched with the query information, returning the unit track section data to the terminal user, and receiving a traffic vehicle data request of the section;
step S3: the road section query request comprises a filtering condition and an aggregation condition, and road sections meeting the filtering condition are grouped.
2. The method for inquiring rail transit monitoring data as claimed in claim 1: the step S1 or S2: acquiring regional geographical position information matched with the query information, wherein the data comprises: and acquiring data of all road vehicles monitored in the preset range of the regional geographical position information.
3. The method for inquiring rail transit monitoring data as claimed in claim 1: the step S3: dividing congestion time data which belong to the same geographical position information preset range of the same region and comprise the same preset road traffic into a set, taking a first combination of half an hour as a first set, taking a second combination of one hour as a second set, and determining the position relation of the geographical position information of a plurality of sub-regions; and arranging a plurality of sets according to the position relation from top to bottom and/or from left to right, and responding the combined result of the first combination and the second combination to the traffic congestion time inquiry request for viewing.
4. The utility model provides a track traffic monitoring data's inquiry unit which characterized in that: the method comprises the following steps: the device comprises a monitoring module, a receiving module, a grouping module, an emergency response module, a processor and a memory.
5. The device for inquiring rail transit monitoring data of claim 4: the monitoring module is used for receiving and storing the geographical position information of each road section in advance.
6. The device for inquiring rail transit monitoring data of claim 4: the receiving module is used for receiving a track traffic road section query request, and the road section query request comprises a filtering condition and an aggregation condition.
7. The device for inquiring rail transit monitoring data of claim 4: the grouping module is used for screening the position information of each road and rejecting the filtering condition.
8. The device for inquiring rail transit monitoring data of claim 4: and the emergency response module is used for responding to the query request of the road condition according to the grouping result.
9. The device for inquiring rail transit monitoring data of claim 4: the memory is used for storing a computer program, the processor is used for executing the computer program stored by the memory, so that the terminal executes the rail transit road condition query method as any one of claims 1 to 3, the data memory checks a newly stored numerical monitoring data file in real time and converts the numerical monitoring data file into a binary form for storage, the data storage system adopts a cloud computing platform, the memory extracts metadata of the monitoring data file and stores the metadata as a data record in the metadata file, and the metadata comprises a file name, an offset of a field in the monitoring data file and a monitoring file size.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010150536.7A CN111339146A (en) | 2020-03-06 | 2020-03-06 | Method and device for inquiring rail transit monitoring data |
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| CN202010150536.7A CN111339146A (en) | 2020-03-06 | 2020-03-06 | Method and device for inquiring rail transit monitoring data |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111831658A (en) * | 2020-06-30 | 2020-10-27 | 东莞理工学院 | Rail transit big data analysis method and system |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103377559A (en) * | 2012-04-20 | 2013-10-30 | 腾讯科技（深圳）有限公司 | Method and system for displaying road condition information of electronic map |
| CN110716993A (en) * | 2018-07-13 | 2020-01-21 | 烟台淼盾物联技术有限公司 | Fire fighting information query method and device, computer device and readable storage medium |
-
2020
- 2020-03-06 CN CN202010150536.7A patent/CN111339146A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103377559A (en) * | 2012-04-20 | 2013-10-30 | 腾讯科技（深圳）有限公司 | Method and system for displaying road condition information of electronic map |
| CN110716993A (en) * | 2018-07-13 | 2020-01-21 | 烟台淼盾物联技术有限公司 | Fire fighting information query method and device, computer device and readable storage medium |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111831658A (en) * | 2020-06-30 | 2020-10-27 | 东莞理工学院 | Rail transit big data analysis method and system |
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