CN115375180A - Port area supervision method and system based on multi-source space-time data and storage medium - Google Patents
Port area supervision method and system based on multi-source space-time data and storage medium Download PDFInfo
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Abstract
The invention provides a port supervision method, a port supervision system and a storage medium based on multi-source space-time data. The port supervision method based on the multi-source space-time data comprises the following steps: s1, acquiring target information, and scanning and identifying the target information in a port area needing to be supervised through a GPS (global positioning system) so as to form target information; s2, integrating target information, namely inputting the target information identified by GPS scanning in the step S1 into a data management system, and performing data integration on the target information by the data management system; s3, sending target information; s4, constructing a database; s5, constructing a port supervision model; s6, constructing a port area pedestrian flow space-time distribution model; s7, primarily integrating data; s8, normalizing the data model; s9, verifying a data model, wherein the port supervision method based on the multi-source space-time data realizes data exchange with better interactivity, realizes standardized and unified data transmission, and realizes efficient supervision on the port.
Description
Technical Field
The invention relates to the technical field of automation equipment, in particular to a port supervision method and system based on multi-source space-time data and a storage medium.
Background
In the information construction process of the port area, due to the influence of factors such as the stage, the technology, other economic factors and human factors of the construction and the implementation of a data management system of each business system, a large amount of space-time data adopting different storage modes are accumulated in the development process;
the traditional port area information data and the related data of emerging port area information often have the difficulties of nonstandard data object structures, poor data interactivity, high difficulty and incapability of unifying standards, so that the port area is difficult to realize high-efficiency supervision.
Therefore, redesigning a new port supervision method, system and storage medium based on multi-source space-time data is urgently needed to solve the above problems.
Disclosure of Invention
The invention provides a harbor district supervision method, a harbor district supervision system and a storage medium based on multi-source space-time data, which aim to solve the technical problems in the background technology.
The invention provides a port supervision method based on multi-source space-time data, which comprises the following steps: s1, acquiring target information, and scanning and identifying the target information in a port area needing to be supervised through a GPS (global positioning system) so as to form target information; s2, integrating target information, namely inputting the target information identified by GPS scanning in the step S1 into a data management system, and performing data integration on the target information by the data management system; s3, sending target information, namely sending the target information subjected to data integration to a primary database in a wireless transmission mode; s4, constructing a database, counting target information in the port area to be supervised in the information received by the primary database, and then sorting the counted target information to form a multi-source time-space database; s5, constructing a port supervision model, creating model distribution macro objects in the port in the multi-source space-time database, wherein the model distribution macro objects specifically comprise a port service site, a port construction site, a port supervision service site and a port route distribution map, and integrating and screening the model distribution macro objects to form a port supervision model; s6, constructing a harbor district people flow space-time distribution model, and counting people flow distribution in a harbor district within unit time by adopting fixed-point monitoring equipment and fixed-point time control equipment so as to construct and finish the harbor district people flow space-time distribution model; s7, primarily integrating data, namely primarily integrating the harbor district people flow space-time distribution model and the harbor district supervision model; s8, normalizing the data model, and performing coordinate system visualization construction on the primarily integrated data to form a normalized data model; and S9, verifying the data model, namely performing data verification on the normalized data model formed in the step S8 to provide accurate port region supervision data for users.
Optionally, the target information includes a port area code, a port area description, an area time-share passenger flow, an area node, and a node code.
Optionally, the wireless transmission mode in step S3 includes bluetooth transmission or wifi transmission.
Optionally, the specific method for visually constructing the coordinate system of the primarily integrated data in step S8 is to establish a vectorization model for the primarily integrated data, and then perform data query statistics, spatio-temporal data analysis, and spatio-temporal data sharing processing on the established vectorization model, so as to construct the data into a normalized data model.
Optionally, after the multi-source space-time database is formed in step S4, the multi-source space-time database needs to be measured and distinguished, which specifically includes data source importance detection, data characteristic attribute distinguishing, data attribute identification, and data weight marking.
Optionally, in the step S8, the data is layered according to the X-axis, Y-axis and Z-axis coordinates in the coordinate system, so that the data has continuity.
Optionally, the data verification in step S9 specifically includes data identification, data reintegration, data analysis, and data screening, and the steps are performed with antivirus scanning to ensure the security of the data.
Optionally, the step S2 of integrating the target information into the data includes classifying the data according to functions, and then sequentially arranging the data, so as to complete the integration of the target information into the data.
Optionally, the invention also discloses a harbor district supervision system based on multi-source time-space data, which comprises a target information acquisition module, a target information integration module, a target information sending module, a database construction module, a harbor district supervision model construction module, a harbor district people flow rate time-space distribution model construction module, a data preliminary integration module, a data model normalization module and a data model verification module.
Optionally, the present invention also discloses a computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the steps of the port supervision method based on multi-source spatio-temporal data according to any one of claims 1 to 8.
The invention has the following beneficial effects:
the port supervision method based on the multi-source space-time data comprises the following steps: s1, acquiring target information, and scanning and identifying the target information in a port area needing to be supervised through a GPS (global positioning system) so as to form target information; s2, integrating target information, namely inputting the target information identified by GPS scanning in the step S1 into a data management system, and performing data integration on the target information by the data management system; s3, sending target information, namely sending the target information subjected to data integration to a primary database in a wireless transmission mode; s4, constructing a database; s5, constructing a port supervision model; s6, constructing a harbor district people flow space-time distribution model; s7, primarily integrating data; s8, normalizing the data model; s9, verifying a data model, wherein the port supervision method based on multi-source space-time data realizes data exchange with better interactivity, realizes standardized and unified data transmission, and realizes high-efficiency supervision on the port.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below 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 flow chart of a port supervision method based on multi-source space-time data provided by the 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. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
Referring to fig. 1, the method for supervising a port area based on multi-source space-time data of the present invention includes the following steps: s1, acquiring target information, and scanning and identifying the target information in a port area needing to be supervised through a GPS (global positioning system) so as to form target information; s2, integrating target information, namely inputting the target information identified by GPS scanning in the step S1 into a data management system, and performing data integration on the target information by the data management system; s3, sending target information, namely sending the target information subjected to data integration to a primary database in a wireless transmission mode; s4, constructing a database, counting target information in the port area to be supervised in the information received by the primary database, and then sorting the counted target information to form a multi-source time-space database; s5, constructing a port supervision model, creating model distribution macro objects in the port in the multi-source space-time database, wherein the model distribution macro objects specifically comprise a port service site, a port construction site, a port supervision service site and a port route distribution map, and integrating and screening the model distribution macro objects to form a port supervision model; s6, constructing a harbor district people flow space-time distribution model, and counting people flow distribution in a harbor district within unit time by adopting fixed-point monitoring equipment and fixed-point time control equipment so as to construct and finish the harbor district people flow space-time distribution model; s7, primarily integrating data, namely primarily integrating the port area people flow space-time distribution model and the port area supervision model; s8, normalizing the data model, and performing coordinate system visualization construction on the primarily integrated data to form a normalized data model; and S9, verifying the data model, namely performing data verification on the normalized data model formed in the step S8 to provide accurate port region supervision data for users.
The target information comprises port area codes, port area description, area time-sharing passenger flow, area nodes and node codes.
In this embodiment, the wireless transmission mode in step S3 includes bluetooth transmission or wifi transmission.
In this embodiment, the specific method for visually constructing the coordinate system of the primarily integrated data in step S8 is to establish a vectorization model for the primarily integrated data, and then perform data query statistics, spatio-temporal data analysis, and spatio-temporal data sharing processing on the established vectorization model, so as to construct the data into a normalized data model.
After the multi-source space-time database is formed in the step S4, the multi-source space-time database needs to be measured and distinguished, specifically including data source importance detection, data characteristic attribute distinguishing, data attribute identification and data weight marking.
In this embodiment, in step S8, the data is layered according to the X-axis, Y-axis and Z-axis coordinates in the coordinate system, so that the data has continuity.
In this embodiment, the data verification in step S9 specifically includes data identification, data reintegration, data analysis, and data screening, and the steps are performed with antivirus scanning to ensure the security of the data.
In this embodiment, the step S2 of integrating the target information into the data includes classifying the functions of the data and then sequentially arranging the data, so as to complete the integration of the target information into the data.
The invention also discloses a harbor district supervision system based on multi-source time-space data, which comprises a target information acquisition module, a target information integration module, a target information sending module, a database construction module, a harbor district supervision model construction module, a harbor district people flow rate time-space distribution model construction module, a data preliminary integration module, a data model normalization module and a data model verification module.
Meanwhile, the invention also discloses a computer readable storage medium, on which a computer program is stored, and the computer program when executed by a processor implements the steps of the harbor district supervision method based on multi-source space-time data according to any one of claims 1-8.
The port supervision method based on the multi-source space-time data comprises the following steps: s1, acquiring target information, and scanning and identifying the target information in a port area needing to be supervised through a GPS (global positioning system) so as to form target information; s2, integrating target information, namely inputting the target information identified by GPS scanning in the step S1 into a data management system, and performing data integration on the target information by the data management system; s3, sending target information, namely sending the target information subjected to data integration to a primary database in a wireless transmission mode; s4, constructing a database; s5, constructing a port supervision model; s6, constructing a port area pedestrian flow space-time distribution model; s7, primarily integrating data; s8, normalizing the data model; s9, verifying a data model, wherein the port supervision method based on the multi-source space-time data realizes data exchange with better interactivity, realizes standardized and unified data transmission, and realizes efficient supervision on the port.
An embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements any one of the above low power consumption control power management.
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 may be implemented by hardware related to instructions of a computer program, which may be stored in a non-volatile computer-readable storage medium, and when executed, may include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium provided herein and used in the examples may include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (SSRDRAM), enhanced SDRAM (ESDRAM), synchronous Link (Synchlink) DRAM (SLDRAM), rambus (Rambus) direct RAM (RDRAM), direct bused dynamic RAM (DRDRAM), and bused dynamic RAM (RDRAM).
It should be noted that the numerical values presented herein are numerical values set for convenience of understanding herein, and are not limited solely thereto, and the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, apparatus, article, or method. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, apparatus, article, or method that comprises the element.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes performed by the present specification and drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A harbor district supervision method based on multi-source space-time data is characterized by comprising the following steps:
s1, acquiring target information, and scanning and identifying the target information in a port area needing to be supervised through a GPS (global positioning system) so as to form target information;
s2, integrating target information, namely inputting the target information identified by GPS scanning in the step S1 into a data management system, and performing data integration on the target information by the data management system;
s3, sending target information, namely sending the target information subjected to data integration to a primary database in a wireless transmission mode;
s4, constructing a database, counting target information in the port area to be supervised in the information received by the primary database, and then sorting the counted target information to form a multi-source time-space database;
s5, constructing a port supervision model, creating model distribution macro objects in the port in the multi-source space-time database, wherein the model distribution macro objects specifically comprise a port service site, a port construction site, a port supervision service site and a port route distribution map, and integrating and screening the model distribution macro objects to form a port supervision model;
s6, constructing a harbor district pedestrian flow space-time distribution model, and counting the pedestrian flow distribution in unit time in a harbor district by adopting fixed-point monitoring equipment and fixed-point time control equipment so as to construct and finish the harbor district pedestrian flow space-time distribution model;
s7, primarily integrating data, namely primarily integrating the port area people flow space-time distribution model and the port area supervision model;
s8, normalizing the data model, and performing coordinate system visualization construction on the primarily integrated data to form a normalized data model;
and S9, verifying the data model, namely performing data verification on the normalized data model formed in the step S8 to provide accurate port region supervision data for users.
2. The harbor territory supervision method based on the multi-source space-time data according to claim 1, characterized in that the target information comprises harbor territory coding, harbor territory description, regional time-share passenger flow, regional nodes and node coding.
3. The multi-source space-time data-based harbor district supervision method according to claim 1, wherein the wireless transmission mode in step S3 comprises bluetooth transmission or wifi transmission.
4. The harbor territory supervision method based on multi-source space-time data according to claim 1, wherein the specific method for visually constructing the preliminarily integrated data in the step S8 is to establish a vectorization model for the preliminarily integrated data, and then perform data query statistics, space-time data analysis and space-time data sharing processing on the established vectorization model, so as to construct the data into a normalized data model.
5. The port supervision method based on the multi-source space-time data according to claim 1, wherein after the multi-source space-time database is formed in the step S4, the multi-source space-time database needs to be measured and distinguished, and the method specifically includes data source importance detection, data characteristic attribute discrimination, data attribute identification and data weight marking.
6. The harbor territory supervision method based on the multi-source space-time data according to claim 1, characterized in that in the step S8, the data are layered according to X-axis, Y-axis and Z-axis coordinates in a coordinate system, so that the data have continuity.
7. The harbor territory supervision method based on the multi-source space-time data according to claim 1, wherein the step S9 of verifying the data specifically comprises data identification, data reintegration, data analysis and data screening, and all the steps are performed with antivirus scanning to ensure the safety of the data.
8. The multi-source space-time data-based harbor territory supervision method according to claim 1, wherein the target information integration of the data in step S2 comprises the steps of classifying the functions of the data and then arranging the data in sequence, thereby completing the target information integration of the data.
9. A harbor district supervision system based on multi-source time-space data is characterized by comprising a target information acquisition module, a target information integration module, a target information sending module, a database construction module, a harbor district supervision model construction module, a harbor district people flow rate time-space distribution model construction module, a data preliminary integration module, a data model normalization module and a data model verification module.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a computer program which, when being executed by a processor, carries out the steps of the port supervision method based on multi-source spatio-temporal data according to any one of claims 1-8.
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| CN202211126587.1A CN115375180A (en) | 2022-09-16 | 2022-09-16 | Port area supervision method and system based on multi-source space-time data and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116737854A (en) * | 2023-05-26 | 2023-09-12 | 上海优异达机电有限公司 | Space-time data lake management system based on multi-source remote sensing data and safety protection method thereof |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116737854A (en) * | 2023-05-26 | 2023-09-12 | 上海优异达机电有限公司 | Space-time data lake management system based on multi-source remote sensing data and safety protection method thereof |
| CN116737854B (en) * | 2023-05-26 | 2024-04-30 | 上海优异达机电有限公司 | Space-time data lake management system based on multi-source remote sensing data and safety protection method thereof |
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