CN110837625A - Port operation control method and device - Google Patents

Port operation control method and device Download PDF

Info

Publication number
CN110837625A
CN110837625A CN201911084103.XA CN201911084103A CN110837625A CN 110837625 A CN110837625 A CN 110837625A CN 201911084103 A CN201911084103 A CN 201911084103A CN 110837625 A CN110837625 A CN 110837625A
Authority
CN
China
Prior art keywords
data
port
management
node
managing
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201911084103.XA
Other languages
Chinese (zh)
Inventor
刘百成
亢学功
杨国平
王琪
郑天立
贾幼磊
孙慧佳
郭享
李长平
杨涛
柳海宇
王骁
毕磊
邰世文
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Communication Planning and Design Institute for Waterway Transportation Co
Huaneng Caofeidian Port Co Ltd
Original Assignee
China Communication Planning and Design Institute for Waterway Transportation Co
Huaneng Caofeidian Port Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China Communication Planning and Design Institute for Waterway Transportation Co, Huaneng Caofeidian Port Co Ltd filed Critical China Communication Planning and Design Institute for Waterway Transportation Co
Priority to CN201911084103.XA priority Critical patent/CN110837625A/en
Publication of CN110837625A publication Critical patent/CN110837625A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/18Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/26Visual data mining; Browsing structured data
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393Score-carding, benchmarking or key performance indicator [KPI] analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06398Performance of employee with respect to a job function
    • G06Q50/40

Abstract

The invention discloses a port operation control method and device. Wherein, the method comprises the following steps: acquiring data distributed at each node in a port and energy industry chain whole chain; analyzing according to the data of each node to generate visualized data, wherein the visualized data comprises: historical data and predictive data; and carrying out full factor management scheduling on the human resources and material resources of the port according to the historical data and the prediction data. The invention solves the technical problem that the port operation management and control can not meet the long-term management and control requirement due to the lack of the centralized management and analysis of a system for the management and operation of the port in the prior art.

Description

Port operation control method and device
Technical Field
The invention relates to the field of computer technology application, in particular to a port operation control method and device.
Background
The port operation management, especially the coal port operation management, has great significance in China, and because the special coal wharf in China is a key hub of the coal transportation system in China, the efficiency and the benefit of the coal transportation logistics system in China can be directly influenced, so that the method has important significance on how to realize the full-chain operation management and control at the coal port.
In the existing coal wharf generation management system, a production management system transmits production process data in real time through links such as service contracts, production scheduling, production operation and production monitoring and a management and control integrated platform, which is a key link of port informatization, and meanwhile, key information can be provided for a control system through the management and control platform, so that management and optimization production are realized, production promotion management is realized, and the production service level of the coal wharf is improved.
The production service system covers all processes of business, planning, scheduling, operation, settlement and charging, real-time processing and the like. The key point is to emphasize the optimization of the whole production process, the optimization needs to collect a large amount of actual performance data in the production process and process the actual performance data, and companies and cooperative personnel can access the system through the Internet to realize the input and query of related data.
The main functions of the production management system are: plan management, scheduling management, performance management, silo management, equipment management, statistical query, auxiliary equipment management, archive management, weighing management, business management, personnel management, post skill evaluation, billboard management, basic data, system management and the like.
At least a head production management system and a control system are basically established in the main coal wharfs in China, and information technology helps wharf managers to convert the traditional manual data processing mode into computer processing, so that the management level and the production efficiency of the coal wharfs are greatly improved. However, the traditional management and control method is scattered, large data related to port operation and production and upstream and downstream of a port industrial chain are not systematically managed and analyzed in a centralized manner, and the whole elements of a port are not managed and controlled in a three-dimensional visualization manner.
Aiming at the problem that the port operation management and control cannot meet the long-term management and control requirement due to lack of system centralized management and analysis in the prior art for port management and operation, an effective solution is not provided at present.
Disclosure of Invention
The embodiment of the invention provides a port operation management and control method and a port operation management and control device, which at least solve the technical problem that the port operation management and control cannot meet the long-term management and control requirement due to lack of systematic centralized management and analysis on port management and operation in the prior art.
According to an aspect of an embodiment of the present invention, a method for managing and controlling port operations is provided, including: acquiring data distributed at each node in a port and energy industry chain whole chain; analyzing according to the data of each node to generate visualized data, wherein the visualized data comprises: historical data and predictive data; and carrying out full factor management scheduling on the human resources and material resources of the port according to the historical data and the prediction data.
Optionally, analyzing the data of each node to generate visualized data includes: and respectively generating corresponding visual data from the data of each node according to the data type by adopting the linkage of the instrument panel and the three-dimensional scene, wherein the data type comprises the following steps: energy source and cargo source flow direction, market dynamics, market share, benchmarking conditions, cargo source structure, production efficiency and production cost.
Further, optionally, generating corresponding visual data from the data of each node according to the data type by using linkage of the instrument panel and the three-dimensional scene includes: and under the condition that the data type is the flow direction of the energy source, linking the instrument panel and the three-dimensional scene to obtain a three-dimensional model, and drawing a flow diagram of the energy source from the source departure station to the port through the railway and from the port to the client on the three-dimensional model.
Optionally, the step of generating, by using the dashboard, the corresponding visual data from the data of each node according to the data type includes: and under the condition that the data type is market dynamic, analyzing the energy price market trend of the energy main producing area by adopting the instrument panel.
Optionally, the step of generating, by using the dashboard, the corresponding visual data from the data of each node according to the data type includes: and under the condition that the data type is market share, displaying the proportion of the port calling amount in the port area of the port by using the instrument panel, and dynamically and respectively displaying the port calling amount analysis conditions and the port calling amount analysis conditions in the upper half year and the lower half year.
Optionally, the step of generating, by using the dashboard, the corresponding visual data from the data of each node according to the data type includes: and under the condition that the data type is the benchmarking condition, adopting the instrument panel to display the benchmarking condition of the peripheral port, wherein the comparison indexes comprise: the loading amount, the unloading efficiency, the turnover rate, the single-ton energy consumption and the ship loading efficiency.
Optionally, the step of generating, by using the dashboard, the corresponding visual data from the data of each node according to the data type includes: and under the condition that the data type is a goods source structure, the meter panel is adopted to sort the owners with coal blending quantity accounting for the first ten, the monthly stock coal quantity of each owner per year is displayed, and the monthly throughput analysis and the loading and unloading efficiency analysis of the port are carried out.
Optionally, the step of generating, by using the dashboard, the corresponding visual data from the data of each node according to the data type includes: under the condition that the data type is production efficiency, the instrument panel is adopted to show the ship loading efficiency and the unloading efficiency, and the performance management of the teams and groups of related personnel is carried out, wherein the performance management of the teams and groups comprises the following steps: the workload and the idle rate of the reclaimer every day and the efficiency and the electricity consumption of a corresponding driver.
Optionally, the step of generating, by using the dashboard, the corresponding visual data from the data of each node according to the data type includes: and under the condition that the data type is the production cost, the instrument panel is adopted to analyze the water, electricity and oil costs of monthly yard management, unloading amount and loading amount, and the annual accumulated power consumption and annual accumulated work amount of mechanical equipment are counted.
Optionally, performing full-factor management and scheduling on the human resources and material resources of the port according to the historical data and the prediction data includes: in the process of managing port personnel, reading positioning data of the port personnel from a database based on the combination of the pre-established database and a positioning system and the internet-of-things technology; in the process of managing port vehicles, acquiring real-time positions and running tracks of the port vehicles based on vehicle positioning data and a mobile communication technology; in the process of managing the port equipment, carrying out state overhaul, equipment life prediction and replacement early warning detection on the use of the port equipment based on historical data and prediction data; in the process of dispatching and managing the port, the dispatching information of vehicles and ships at the port is obtained based on historical data in the visual data, and the information of vehicles and ships at the port and on the way is displayed in real time; generating forecast data according to the vehicle and ship dispatching information, and generating a port dispatching plan according to the forecast data; in the process of managing port operation, generating a port data model based on historical data and prediction data in the visual data, simulating the real-time operation state of a port according to the port data model, and simulating the real-time display of the equipment state; the system comprises a backtracking function, a model information processing function and a port real video image processing function, wherein the backtracking function is used for calling model operation information and port real video images according to time intervals, processes and/or vehicle and ship modes; displaying the digital yard information in real time in the process of managing the port yard; in the process of carrying out visual management on the port, a port production video picture is embedded in a three-dimensional scene, and all weather information of the port and a port-to-client channel is displayed by reading weather data information.
According to another aspect of the embodiments of the present invention, there is also provided a device for managing and controlling port operations, including: the acquisition module is used for acquiring data distributed at each node in a port and energy industry chain full chain; the data generation module is used for analyzing and generating visual data according to the data of each node, wherein the visual data comprises: historical data and predictive data; and the management and control module is used for carrying out full factor management and scheduling on the human resources and the material resources of the port according to the historical data and the prediction data.
In the embodiment of the invention, data distributed at each node in the whole chain of the port and the energy industry chain are obtained; analyzing according to the data of each node to generate visualized data, wherein the visualized data comprises: historical data and predictive data; according to the technical scheme, the method and the system have the advantages that the full-factor management and scheduling are carried out on the human resources and the material resources of the port according to historical data and prediction data, the purpose of managing and controlling the full chain of the port is achieved, the technical effect of comprehensively managing and controlling personnel, vehicles, equipment, scheduling, a yard and visual aspects is achieved, and the technical problem that the port operation management and control cannot meet long-term management and control requirements due to the fact that the centralized management and analysis of a system is lacked in the management and operation of the port in the prior art is solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
fig. 1 is a schematic flow chart of a method for managing and controlling port operation according to an embodiment of the invention;
FIG. 2 is a schematic diagram of the flow direction of a coal source in a method for managing port operations according to an embodiment of the invention;
FIG. 3 is a schematic diagram of coal price trends in a method for managing port operations according to an embodiment of the invention;
FIG. 4a is a schematic diagram of analysis of the amount of coal removed in the method for managing and controlling port operation according to the embodiment of the invention;
FIG. 4b is a schematic diagram of analysis of port transfer amounts in upper and lower half-year port areas in the port operation control method according to the embodiment of the invention;
fig. 5 is a schematic diagram of a benchmarking situation in a method for managing and controlling port operations according to an embodiment of the present invention;
fig. 6a is a schematic view of a structure of a cargo source in a method for managing and controlling port operations according to an embodiment of the invention;
fig. 6b is a schematic diagram of owner's ranking of coal blending amount in comparison with the top ten in the method for managing and controlling port operation according to the embodiment of the invention;
FIG. 6c is a schematic diagram of throughput analysis and load and unload change analysis in the method for managing and controlling port operation according to the embodiment of the invention;
FIG. 7a is a schematic diagram of production efficiency in the method for managing and controlling port operations according to the embodiment of the invention;
FIG. 7b is a schematic diagram of personnel skill management in the method for managing and controlling port operation according to the embodiment of the invention;
fig. 7c is a schematic diagram of team performance management in the method for managing and controlling port operation according to the embodiment of the invention;
fig. 8a is a schematic diagram of production cost in the method for managing and controlling port operation according to the embodiment of the invention;
fig. 8b is a schematic diagram of the analysis of the monthly unloading amount in the method for managing and controlling the port operation according to the embodiment of the invention;
fig. 8c is a schematic diagram of analyzing the cost of monthly field inventory in the method for managing and controlling port operation according to the embodiment of the invention;
FIG. 8d is a schematic diagram of annual equipment accumulation information in the method for managing and controlling port operations according to the embodiment of the invention;
fig. 9 is a schematic view of a device for managing port operations according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, 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.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
In accordance with an embodiment of the present invention, there is provided a method embodiment for port operations management, it is noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions, and that while a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than that described herein.
Fig. 1 is a schematic flow chart of a method for managing and controlling port operations according to an embodiment of the present invention, as shown in fig. 1, the method includes the following steps:
step S102, acquiring data distributed at each node in a port and energy industry chain full chain;
step S104, analyzing and generating visual data according to the data of each node, wherein the visual data comprises: historical data and predictive data;
and S106, carrying out full factor management scheduling on the human resources and material resources of the port according to the historical data and the prediction data.
Specifically, with reference to steps S102 to S106, in the method for managing and controlling port operation provided in the embodiment of the present application, the method may be applicable to a port environment, and is particularly applicable to a coal terminal environment, which is described by taking a coal port as an example, wherein a hierarchical system structure is established according to coal port operation requirements: the first layer is a large data collection and analysis layer and a data visualization layer of the coal port and the upstream and downstream of an industrial chain, and is used for carrying out statistical analysis, visually displaying the coal flow direction, the coal price and market trend of a main production area, market share, benchmarking conditions, port goods source structure analysis, production efficiency and production cost; the second layer is a coal port full-factor real-time monitoring and intelligent operation control layer, and comprises personnel management, vehicle management, equipment management, scheduling management, operation management, yard management and the like.
The port operation control method provided by the embodiment of the application is derived from the direct production requirement of actual port operation control, the virtual reality technology, the computer information technology, the network technology and the like are used for breaking through a plurality of key technologies of the coal port full-chain intelligent operation control method, under the network environment, the large data collection and analysis and data visualization of the upstream and downstream of a coal port and an industrial chain are realized, the real-time cruise of a port three-dimensional scene is realized, the real-time monitoring and management of port full-elements such as port personnel, vehicles, equipment, scheduling, operation, stockyard and the like are realized through the butt joint of the port full-element data of a port information management system, and the management personnel at all levels of the port are assisted to better manage and control the port full chain. The port operation management and control method provided by the embodiment of the application provides platform support for the digitization and informatization level of coal port enterprises and the development of a new mode for realizing the integration of operation intelligence and management and control to be advanced to a higher depth level, and plays an important role in improving the production and management level of the coal wharf in China, improving the comprehensive competitiveness of the area and serving outward economy.
In the embodiment of the invention, data distributed at each node in the whole chain of the port and the energy industry chain are obtained; analyzing according to the data of each node to generate visualized data, wherein the visualized data comprises: historical data and predictive data; according to the technical scheme, the method and the system have the advantages that the full-factor management and scheduling are carried out on the human resources and the material resources of the port according to historical data and prediction data, the purpose of managing and controlling the full chain of the port is achieved, the technical effect of comprehensively managing and controlling personnel, vehicles, equipment, scheduling, a yard and visual aspects is achieved, and the technical problem that the port operation management and control cannot meet long-term management and control requirements due to the fact that the centralized management and analysis of a system is lacked in the management and operation of the port in the prior art is solved.
Specifically, the method for managing and controlling port operation provided by the embodiment of the present application specifically includes the following steps in the process of generating the visual data by analyzing the data of each node:
optionally, the analyzing and generating the visualized data according to the data of each node in step S104 includes: and respectively generating corresponding visual data from the data of each node according to the data type by adopting the linkage of the instrument panel and the three-dimensional scene, wherein the data type comprises the following steps: energy source flow direction, market dynamics, market share, benchmarking condition, production information index, production efficiency index and production cost index.
Specifically, in the embodiment of the application, a linkage mode of the instrument panel and the three-dimensional scene is adopted. And performing interactive binding of real positions of various data in the instrument panels on the two sides and the three-dimensional scene, driving three-dimensional visual presentation by instrument panel indexes, clicking any data item in the instrument panels on the two sides, and correspondingly displaying information such as a source, a current state and the like of the data item in the flow domain by the three-dimensional scene. Finally, the embarrassment that the data in the instrument panel can be 'depended on' and the data which can not be found by seeing the graph can be distinguished. The flow direction of the coal goods source is displayed by a three-dimensional scene, and other data are displayed by instrument panels on two sides.
Further, optionally, generating corresponding visual data from the data of each node according to the data type by using linkage of the instrument panel and the three-dimensional scene includes: and under the condition that the data type is the flow direction of the energy source, linking the instrument panel and the three-dimensional scene to obtain a three-dimensional model, and drawing a flow diagram of the energy source from the source departure station to the port through the railway and from the port to the client on the three-dimensional model.
Specifically, fig. 2 is a schematic diagram of a flow direction of a coal source in the method for managing and controlling port operations according to the embodiment of the present invention, and in the case where energy is coal, the flow direction of the coal source is as shown in fig. 2, and a flow diagram from a source departure station to a port via a railway and from the port to a user is drawn on a three-dimensional model. And counting data from a departure station to a port through a railway. Clicking the corresponding railway line, and popping up the traffic tendency chart of the line. Clicking the starting point of each departure station, and popping up a comparison graph of the transportation cost and the distance of the departure station source to the port of the port and other ports. And (5) counting a flow diagram from the port to the user.
Optionally, the step of generating, by using the dashboard, the corresponding visual data from the data of each node according to the data type includes: and under the condition that the data type is market dynamic, analyzing the energy price market trend of the energy main producing area by adopting the instrument panel.
Specifically, fig. 3 is a schematic diagram of coal price trends in the port operation control method according to the embodiment of the present invention, where the coal price trends are as shown in fig. 3, and the coal price market prices of the main production area are analyzed by analyzing the coal price trends. And drawing a storage, daily consumption and available daily consumption chart of six power plants on the coast and a daily consumption trend chart of a monthly mean field. And drawing a shipping price trend graph. And drawing a futures market K line graph. Inputting CCI, CCTD, BSPI, CECI, coal finding network and coal network index trend chart (inputting data or directly linking and opening a webpage).
Optionally, the step of generating, by using the dashboard, the corresponding visual data from the data of each node according to the data type includes: and under the condition that the data type is market share, displaying the proportion of the port calling amount in the port area of the port by using the instrument panel, and dynamically and respectively displaying the port calling amount analysis conditions and the port calling amount analysis conditions in the upper half year and the lower half year.
Specifically, fig. 4a is a schematic diagram of analysis of coal call-out quantity in the method for managing and controlling port operation according to the embodiment of the present invention, where the coal call-out quantity accounts for, for example, as shown in fig. 4a, the call-out quantity accounts for the port area where the port is located, the trend of the port call-in quantity is analyzed and compared, a monthly call-in quantity trend graph is drawn, and the analysis conditions of the call-out quantity of the port area in the upper and lower half years are displayed, as shown in fig. 4b, and fig. 4b is a schematic diagram of analysis of the call-out quantity of the port area in the upper and lower half years in the method for managing and controlling port operation according.
Optionally, the step of generating, by using the dashboard, the corresponding visual data from the data of each node according to the data type includes: and under the condition that the data type is the benchmarking condition, adopting the instrument panel to display the benchmarking condition of the peripheral port, wherein the comparison indexes comprise: the loading amount, the unloading efficiency, the turnover rate, the single-ton energy consumption and the ship loading efficiency.
Specifically, fig. 5 is a schematic diagram of the target conditions in the method for managing and controlling port operations according to the embodiment of the present invention, and the target conditions are shown in fig. 5, and the target conditions of the peripheral ports are displayed, and trend analysis (including call-in amount, call-out amount, unloading efficiency, turnover rate, energy consumption per ton, and ship-loading efficiency) is performed.
Optionally, the step of generating, by using the dashboard, the corresponding visual data from the data of each node according to the data type includes: and under the condition that the data type is a goods source structure, the meter panel is adopted to sort the owners with coal blending quantity accounting for the first ten, the monthly stock coal quantity of each owner per year is displayed, and the monthly throughput analysis and the loading and unloading efficiency analysis of the port are carried out.
Specifically, fig. 6a is a schematic diagram of analysis of coal blending amount in the method for managing and controlling port operation according to the embodiment of the present invention, where the analysis of coal blending amount is shown in fig. 6 a; fig. 6b is a schematic diagram of owner ranking of coal blending amount in the top ten in the method for managing and controlling port operation according to the embodiment of the invention, and as shown in fig. 6b, owner ranking of coal blending amount in the top ten is performed. Fig. 6c is a schematic diagram of throughput analysis and load and unload change analysis in the method for managing and controlling port operation according to the embodiment of the present invention, as shown in fig. 6c, throughput progress is analyzed, and load and unload and operation efficiency change trends in same proportion are analyzed: shows monthly loading/unloading versus last year synchronization for a total of 12 months on a dynamic display.
Optionally, the step of generating, by using the dashboard, the corresponding visual data from the data of each node according to the data type includes: under the condition that the data type is production efficiency, the instrument panel is adopted to show the ship loading efficiency and the unloading efficiency, and the performance management of the teams and groups of related personnel is carried out, wherein the performance management of the teams and groups comprises the following steps: the workload and the idle rate of the reclaimer every day and the efficiency and the electricity consumption of a corresponding driver.
Specifically, fig. 7a is a schematic diagram of production efficiency in the method for managing and controlling port operations according to the embodiment of the present invention, where the production efficiency is as shown in fig. 7a, and ship loading efficiency and unloading efficiency are analyzed; fig. 7b is a schematic diagram of personnel skill management in the method for managing and controlling port operation according to the embodiment of the invention, and as shown in fig. 7b, personnel skill management is performed: and displaying the workload, the idle load rate, the efficiency and the unit consumption of the personnel in real time. Fig. 7c is a schematic diagram of performance management of the team in the method for managing and controlling port operations according to the embodiment of the invention, and as shown in fig. 7c, the performance management of the team is performed: and the unloading operation amount, the unloading operation efficiency, the loading operation amount, the loading operation efficiency and the single-shift bin time of each shift are displayed in real time.
Optionally, the step of generating, by using the dashboard, the corresponding visual data from the data of each node according to the data type includes: and under the condition that the data type is the production cost, the instrument panel is adopted to analyze the water, electricity and oil costs of monthly yard management, unloading amount and loading amount, and the annual accumulated power consumption and annual accumulated work amount of mechanical equipment are counted.
Specifically, fig. 8a is a schematic diagram of production costs in the method for managing and controlling port operations according to the embodiment of the present invention, and the production costs are as shown in fig. 8a, and the shipping volume and the costs of water, electricity and oil are analyzed; fig. 8d is a schematic diagram of the annual equipment cumulative information in the method for managing and controlling the port operation according to the embodiment of the present invention, and as shown in fig. 8d, the annual cumulative power consumption, the annual cumulative work load and the annual cumulative operation time of the equipment information mechanical equipment are analyzed. In addition, the specific equipment management is carried out, and the method also comprises the following steps that fig. 8b is a schematic diagram for analyzing the monthly unloading amount in the port operation management and control method according to the embodiment of the invention, and the monthly unloading amount is analyzed as shown in fig. 8 b; the workload and the cost are plotted in a comparison graph. Fig. 8c is a schematic diagram of analyzing the monthly inventory cost in the method for managing and controlling the port operation according to the embodiment of the invention, as shown in fig. 8c, showing the analysis of the inventory change and the change cost. The dynamic display took 12 months.
Optionally, the step S106 of performing full factor management and scheduling on the human resources and material resources of the port according to the historical data and the prediction data includes:
step S1061, in the process of managing port personnel, reading the positioning data of the port personnel from a database based on the pre-established database and the positioning system combined with the internet technology;
the method comprises the steps of establishing an interface of a database and a positioning system, reading personnel positioning data from the database of a production management system by using the technology of the Internet of things, and inquiring real-time positions and running tracks of personnel and detention time of the personnel at a certain point on site. Personnel management can screen out personal files of field personnel, divide the division of labor into categories of personnel in the subregion of blocks, and the functions of electronic fence intrusion alarm, personnel in-place detection setting and the like are realized. Meanwhile, the linkage query of the activity condition of certain field personnel and a video system can be realized.
The personnel positioning management needs to combine factors such as production operation, equipment operation and the like, be considered comprehensively, establish a set of on-site personnel activity analysis model for each post, and can accurately analyze the job-performing condition of each post.
Step S1062, in the process of managing the port vehicles, acquiring real-time positions and running tracks of the port vehicles on the basis of vehicle positioning data and a mobile communication technology;
the vehicle positioning data reading and mobile communication technology is used for realizing position display and running track query of a vehicle, and information query of vehicle running time, fuel consumption, operator names, vehicle maintenance information and the like is realized.
The vehicle positioning technology is relied on, and the vehicle operation efficiency and the energy consumption index are combined with a driver to be used as a main basis for evaluating the skill of the driver.
Step S1063, in the process of managing the port equipment, carrying out state overhaul, equipment life prediction and replacement early warning detection on the use of the port equipment based on historical data and prediction data;
the information of two tickets and operation desk time in the operation management system is read, and when the equipment maintenance state is realized, the work ticket or the work order information of the equipment is displayed, wherein the work ticket or the work order information comprises maintenance content, maintenance responsible persons, monitoring responsible persons, materials, processes and the like. The management of the service life of the equipment is realized, and the key parts are overhauled and replaced to give an alarm.
Meanwhile, a data interaction interface with the material library model is reserved.
Step S1064, in the process of dispatching and managing the ports, acquiring the dispatching information of vehicles and ships at the ports based on historical data in the visual data, and displaying the information of vehicles and ships at the on-road and on-port in real time; generating forecast data according to the vehicle and ship dispatching information, and generating a port dispatching plan according to the forecast data;
the method comprises the steps of reading scheduling information of vehicles and ships in a production management system, and displaying information of trains and ships in transit and in ports in real time. And displaying scheduling plan information in real time, wherein the scheduling plan information comprises related processes, equipment, vehicles, ships, cargo types and the like. The developed page can display the real-time position information of the ship pre-berthed by the wharf of the buyer and forecast the port arrival time.
Step S1065, in the process of managing the port operation, generating a port data model based on historical data and forecast data in the visual data, simulating the real-time operation state of the port according to the port data model, and simulating the real-time display of the equipment state; the system comprises a backtracking function, a model information processing function and a port real video image processing function, wherein the backtracking function is used for calling model operation information and port real video images according to time intervals, processes and/or vehicle and ship modes;
the real-time operation state of the port process system is simulated in real time, accurate state display of equipment is achieved, information including accurate positions and angles of the arm supports and fault alarm information of the equipment are displayed, and virtual and real seamless switching is achieved with a video system.
During loading and unloading operation, data of the belt weighers and the rail weighers along the line can be clearly displayed in the model. When unloading, the number of sections of the train can be displayed; during the loading operation, the berth of the ship in operation and the loading tonnage of each round can be displayed.
The operation management also comprises an operation duration backtracking function, and model operation information and video pictures can be called in modes of time period, flow path, vehicle and ship distribution and the like, so that the purpose of combining virtuality and reality is achieved.
The management of production data mainly comprises: and managing the energy consumption of water, electricity and oil in production and operation activities.
Step S1066, displaying the digital yard information in real time in the process of managing the port yard;
the digital storage yard information is displayed in real time and comprises three-dimensional stacking types, entry time, storage quantity, coal assay indexes, cargo holders and the like.
Step S1067, in the process of visually managing the port, embedding port production video pictures in a three-dimensional scene, and displaying all weather information of the port and the port-to-client channel by reading weather data information.
In the three-dimensional scene of the system, production video pictures are embedded, and virtual and real seamless switching is realized. The system supports the display of blocking and regional cutting, and can display production element information of certain block (region) personnel, equipment, flow machinery and the like.
By reading the data information of the meteorological station, the model displays the meteorological information such as tide, wind direction, wind speed and the like.
The embodiment of the application displays all weather information of the port and the port-to-client channel to predict the arrival time of ships and the cargo transportation risk due to weather reasons, provides data prediction for port operation and maintenance scheduling, and effectively guarantees the property safety of each unit of shipping.
Example 2
According to another aspect of the embodiment of the present invention, there is also provided a device for managing and controlling operation of a port, and fig. 9 is a schematic diagram of the device for managing and controlling operation of a port according to the embodiment of the present invention, as shown in fig. 9, including: the acquisition module 92 is used for acquiring data distributed at each node in the whole chain of the port and the energy industry chain; a data generating module 94, configured to analyze the data of each node to generate visualized data, where the visualized data includes: historical data and predictive data; and the management and control module 96 is used for performing full factor management and scheduling on the human resources and the material resources of the port according to the historical data and the prediction data.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.

Claims (11)

1. A method for managing and controlling port operation is characterized by comprising the following steps:
acquiring data distributed at each node in a port and energy industry chain whole chain;
analyzing according to the data of each node to generate visualized data, wherein the visualized data comprises: historical data and predictive data;
and carrying out full factor management scheduling on the human resources and material resources of the port according to the historical data and the prediction data.
2. The method of claim 1, wherein analyzing the data from the nodes to generate the visualization data comprises:
and respectively generating corresponding visual data from the data of each node according to the data type by adopting the linkage of a dashboard and the three-dimensional scene, wherein the data type comprises the following steps: energy source and cargo source flow direction, market dynamics, market share, benchmarking conditions, cargo source structure, production efficiency and production cost.
3. The method according to claim 2, wherein the generating the data of each node into corresponding visual data according to the data type by using the linkage of the instrument panel and the three-dimensional scene comprises:
and under the condition that the data type is the flow direction of the energy source, the instrument panel and the three-dimensional scene are linked to obtain a three-dimensional model, and a flow diagram of energy from a source departure station to a port through a railway and from the port to a client is drawn on the three-dimensional model.
4. The method of claim 2, wherein the generating the data of each node into the corresponding visual data according to the data type by using the dashboard comprises:
and under the condition that the data type is the market dynamic state, analyzing the energy price market trend of the energy main producing area by adopting the instrument panel.
5. The method of claim 2, wherein the generating the data of each node into the corresponding visual data according to the data type by using the dashboard comprises:
and under the condition that the data type is the market share, displaying the ratio of the port area of the port by adopting the instrument panel, and dynamically and respectively displaying the port area call-out and port area input and output analysis conditions in the upper and lower half years.
6. The method of claim 2, wherein the generating the data of each node into the corresponding visual data according to the data type by using the dashboard comprises:
and under the condition that the data type is the benchmarking condition, adopting the instrument panel to display the benchmarking condition of the peripheral port, and comparing indexes comprises the following steps: the loading amount, the unloading efficiency, the turnover rate, the single-ton energy consumption and the ship loading efficiency.
7. The method of claim 2, wherein the generating the data of each node into the corresponding visual data according to the data type by using the dashboard comprises:
and under the condition that the data type is the goods source structure, the meter panel is adopted to sort the owners with coal blending quantity accounting for the first ten, the monthly stock coal quantity of each owner every year is displayed, and the monthly throughput analysis and the loading and unloading efficiency analysis of the port are carried out.
8. The method of claim 2, wherein the generating the data of each node into the corresponding visual data according to the data type by using the dashboard comprises:
and under the condition that the data type is the production efficiency, adopting the instrument panel to show the ship loading efficiency and the unloading efficiency, and performing team performance management of related personnel, wherein the team performance management comprises the following steps: the workload and the idle rate of the reclaimer every day and the efficiency and the electricity consumption of a corresponding driver.
9. The method of claim 2, wherein the generating the data of each node into the corresponding visual data according to the data type by using the dashboard comprises:
and under the condition that the data type is the production cost, the instrument panel is adopted to analyze the water, electricity and oil costs of monthly yard management, unloading amount and loading amount, and the annual accumulated power consumption and annual accumulated operation amount of mechanical equipment are counted.
10. The method according to any one of claims 1 to 9, wherein the performing full element management scheduling on human resources and material resources of the port according to the historical data and the forecast data comprises:
in the process of managing port personnel, reading positioning data of the port personnel from a database based on the combination of the pre-established database and a positioning system and the internet-of-things technology;
in the process of managing port vehicles, acquiring real-time positions and running tracks of the port vehicles based on vehicle positioning data and a mobile communication technology;
in the process of managing the port equipment, carrying out state overhaul, equipment life prediction and replacement early warning detection on the use of the port equipment based on the historical data and the prediction data;
in the process of dispatching and managing the port, acquiring the dispatching information of the vehicles and the ships at the port based on the historical data in the visual data, and displaying the information of the vehicles and the ships at the port and the on-road in real time; generating the prediction data according to the vehicle and ship scheduling information, and generating a port scheduling plan according to the prediction data;
in the process of managing port operation, generating a port data model based on the historical data and the predicted data in the visual data, simulating the real-time operation state of a port according to the port data model, and simulating the real-time display of the equipment state; the system comprises a backtracking function, a model information processing function and a port real video image processing function, wherein the backtracking function is used for calling model operation information and port real video images according to time intervals, processes and/or vehicle and ship modes;
displaying the digital yard information in real time in the process of managing the port yard;
in the process of carrying out visual management on the port, a port production video picture is embedded in a three-dimensional scene, and all weather information of the port and a port-to-client channel is displayed by reading weather data information.
11. A device for managing and controlling port operation is characterized by comprising:
the acquisition module is used for acquiring data distributed at each node in a port and energy industry chain full chain;
a data generation module, configured to analyze data of each node to generate visualized data, where the visualized data includes: historical data and predictive data;
and the management and control module is used for carrying out full factor management and scheduling on the human resources and the material resources of the port according to the historical data and the prediction data.
CN201911084103.XA 2019-11-07 2019-11-07 Port operation control method and device Pending CN110837625A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201911084103.XA CN110837625A (en) 2019-11-07 2019-11-07 Port operation control method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201911084103.XA CN110837625A (en) 2019-11-07 2019-11-07 Port operation control method and device

Publications (1)

Publication Number Publication Date
CN110837625A true CN110837625A (en) 2020-02-25

Family

ID=69576243

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201911084103.XA Pending CN110837625A (en) 2019-11-07 2019-11-07 Port operation control method and device

Country Status (1)

Country Link
CN (1) CN110837625A (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111208834A (en) * 2020-02-27 2020-05-29 金陵科技学院 Full-process unattended intelligent vehicle loading and transporting process modeling method
CN112002179A (en) * 2020-10-28 2020-11-27 成都运达科技股份有限公司 Rail transit multiplex linkage control method and system based on remote distribution
CN112116196A (en) * 2020-08-03 2020-12-22 广东华云神舟科技股份有限公司 Accurate harbor dock personnel management and control system
CN113837692A (en) * 2021-09-23 2021-12-24 广州智湾科技有限公司 Intelligent scheduling decision method and decision system for vehicles in port operation field
CN116307125A (en) * 2023-02-23 2023-06-23 广东省电子口岸管理有限公司 Traffic data-based customs clearance singular seasonal variation analysis system and method

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5953707A (en) * 1995-10-26 1999-09-14 Philips Electronics North America Corporation Decision support system for the management of an agile supply chain
US8924872B1 (en) * 2013-10-18 2014-12-30 Palantir Technologies Inc. Overview user interface of emergency call data of a law enforcement agency
CN104376383A (en) * 2014-11-27 2015-02-25 东北大学 Grid voltage monitoring and prediction system and method based on geographic information system
CN106447241A (en) * 2016-11-25 2017-02-22 华电能源股份有限公司哈尔滨第三发电厂 Power generation production and operation control platform
US20180129513A1 (en) * 2016-11-06 2018-05-10 Tableau Software Inc. Data Visualization User Interface with Summary Popup that Includes Interactive Objects
CN108242149A (en) * 2018-03-16 2018-07-03 成都智达万应科技有限公司 A kind of big data analysis method based on traffic data
CN109167389A (en) * 2018-09-25 2019-01-08 国电南瑞科技股份有限公司 A kind of new energy aggregation of data analysis management method
CN109271465A (en) * 2018-08-23 2019-01-25 成都信息工程大学 A kind of Hydrological Data Analysis and methods of exhibiting based on cloud computing
CN109408548A (en) * 2018-09-19 2019-03-01 中国电力科学研究院有限公司 A kind of urban electric power big data application system and method
CN110110002A (en) * 2019-05-13 2019-08-09 江南大学 Big data virtual interactive interface system
CN110232460A (en) * 2018-03-05 2019-09-13 中国电力科学研究院有限公司 A kind of wind-powered electricity generation water power synthetic operation method for visualizing based on wind power prediction

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5953707A (en) * 1995-10-26 1999-09-14 Philips Electronics North America Corporation Decision support system for the management of an agile supply chain
US8924872B1 (en) * 2013-10-18 2014-12-30 Palantir Technologies Inc. Overview user interface of emergency call data of a law enforcement agency
CN104376383A (en) * 2014-11-27 2015-02-25 东北大学 Grid voltage monitoring and prediction system and method based on geographic information system
US20180129513A1 (en) * 2016-11-06 2018-05-10 Tableau Software Inc. Data Visualization User Interface with Summary Popup that Includes Interactive Objects
CN106447241A (en) * 2016-11-25 2017-02-22 华电能源股份有限公司哈尔滨第三发电厂 Power generation production and operation control platform
CN110232460A (en) * 2018-03-05 2019-09-13 中国电力科学研究院有限公司 A kind of wind-powered electricity generation water power synthetic operation method for visualizing based on wind power prediction
CN108242149A (en) * 2018-03-16 2018-07-03 成都智达万应科技有限公司 A kind of big data analysis method based on traffic data
CN109271465A (en) * 2018-08-23 2019-01-25 成都信息工程大学 A kind of Hydrological Data Analysis and methods of exhibiting based on cloud computing
CN109408548A (en) * 2018-09-19 2019-03-01 中国电力科学研究院有限公司 A kind of urban electric power big data application system and method
CN109167389A (en) * 2018-09-25 2019-01-08 国电南瑞科技股份有限公司 A kind of new energy aggregation of data analysis management method
CN110110002A (en) * 2019-05-13 2019-08-09 江南大学 Big data virtual interactive interface system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
颜高峰: "基于大数据的港口集疏运可视分析系统研究", pages 1 - 2 *

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111208834A (en) * 2020-02-27 2020-05-29 金陵科技学院 Full-process unattended intelligent vehicle loading and transporting process modeling method
CN112116196A (en) * 2020-08-03 2020-12-22 广东华云神舟科技股份有限公司 Accurate harbor dock personnel management and control system
CN112002179A (en) * 2020-10-28 2020-11-27 成都运达科技股份有限公司 Rail transit multiplex linkage control method and system based on remote distribution
CN112002179B (en) * 2020-10-28 2021-01-26 成都运达科技股份有限公司 Rail transit multiplex linkage control method and system based on remote distribution
CN113837692A (en) * 2021-09-23 2021-12-24 广州智湾科技有限公司 Intelligent scheduling decision method and decision system for vehicles in port operation field
CN113837692B (en) * 2021-09-23 2023-10-03 广州智湾科技有限公司 Intelligent scheduling decision method and decision system for port operation site vehicles
CN116307125A (en) * 2023-02-23 2023-06-23 广东省电子口岸管理有限公司 Traffic data-based customs clearance singular seasonal variation analysis system and method
CN116307125B (en) * 2023-02-23 2023-10-27 广东省电子口岸管理有限公司 Traffic data-based customs clearance singular seasonal variation analysis system and method

Similar Documents

Publication Publication Date Title
CN110837625A (en) Port operation control method and device
Ambrosini et al. Objectives, methods and results of surveys carried out in the field of urban freight transport: an international comparison
CN105312305A (en) Municipal waste classified popularization and supervision system
CN112241924A (en) Wisdom gas system
JP2004501039A (en) Delivery system and method for vehicles and the like
Dappe et al. Moving forward: Connectivity and logistics to sustain Bangladesh’s success
Mena et al. Innovation in logistics services
Hossein Rashidi et al. Relationship between economic and transportation infrastructure indicators and freight productivity growth
Farazi et al. State-level performance measures and database development for inland waterway freight transportation: A US context and a case study
CN115423367A (en) Intelligent environmental sanitation management system and method based on AIOT platform
Haas et al. Future prospects for pavement management
Cambridge Systematics et al. Performance measures and targets for transportation asset management
National Academies of Sciences et al. Evaluating Alternative Operations Strategies to Improve Travel Time Reliability
Nyström Punctuality and railway maintenance
Sharman Behavioural modelling of urban freight transportation: Activity and inter-arrival duration models estimated using GPS data
Gupta et al. Upper Midwest freight corridor study
Lenz et al. State of Digitalization in European Municipal Waste Management Comparative Study–five EU member countries Estonia, Germany, Greece, the Netherlands, and Spain
Famurewa et al. Application of maintenance performance measurement for continuous improvement in railway infrastructure management.
Lenz et al. State of Digitalization in European Municipal Waste Management
Ali Intelligent Fleet Management Systems, information Communication Technology and Operational Performance of Transport Companies in Mombasa County, Kenya
Lu Optimization of Information System Resources Integration in Port Clusters
Niles Trucks, traffic, and timely transport: A regional freight logistics profile
Tribone Making data matter: the role of information design and process in applying automated data to improve transit service
Vergara et al. Assessing the Capacity of the Pacific Northwest as an Intermodal Freight Transportation Hub
CN114757476A (en) Intelligent factory management system based on 5G application

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination