CN110490443A - The monitoring of shipping dynamic transport power and concocting method - Google Patents
The monitoring of shipping dynamic transport power and concocting method Download PDFInfo
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Abstract
The present invention provides a kind of monitoring of shipping dynamic transport power and concocting method, it is divided into the monitoring of the transport power situation of each ship in the transportation network to several ships composition, and two parts of prediction of the transport power demand at several harbours is combined with the matching way to form the transport power and demand that effectively link.As above the data update of the transport power of the container contained to ship optimized and data information, which enter the sequence of cloud computing, to be for the technical contribution of transport power monitoring in scheme.The case where enabling to the validity of data processing and correctness that can guarantee more importantly to prevent data peaks from entering the paralysis that cloud computing service center may cause side by side based on sequence generation.
Description
Technical field
The present invention relates to it is a kind of can data dynamic change to the freight volume of the container on several bulk carriers into
Row data monitoring is ranked up the data queue of container data information by the method setting to data monitoring, to have
The validity and correctness of the dynamic monitoring of the ship-lifting transport power of effect, and the method for effective decision-making rational allocation transport power.
Background technique
Transport of the bulk supply tariff trade in China including such as grain, coal mainly arrives at the Changjiang river through sea-freight and enters a port
Mouthful, then each port city of the Yangtze river basin is sent to by the large-scale bulk coal ship on the Changjiang river " golden waterway ".Large-scale bulk goods
The freight rate of ship is determined according to market supply and demand, and freight rate is stablized on the course line of transport power balance between supply and demand, but some
The case where resulting in the relatively low transport power waste of freight rate even clean ship to be caused to travel on the course line of transport power surplus.But shipping company
The demand of scale and benefit cannot dissolve superfluous transport power, otherwise being unable to satisfy demand when transport power demand peak.
Large-scale shipping company can predict the need of shipping supply in some navigation channel in following a period of time according to historical data
It asks, and transport capacity resource allotment is deployed according to the demand of this prediction, dispensing mode is as shown.Shipping company's meeting in the prior art
The processing software for making a set of prediction and business is embedded in the administrative section of plan of needs and traffic program, and is arranged in client
Have the monitoring device of cargo inventory, the transport power demand with the amount reasonable prediction future customers of the inventory data of client be how much into
And rational allocation transport capacity resource.This kind of scheme is that a little the demand to single client is follow-up service, can predict visitor
The transport power demand at family simultaneously measures the transport power service plan needed as its matching.The disadvantage is that needing in advance for a period of time to transport ship
Power resource is allocated management.For the Bulk Cargo Ship of container-type, ideal means of conveyance are can to transport difference
The multiple product of client, to play its maximum transport efficiency.After the transport power of a ship is assigned, preset
(ship needs to leave the port of departure in advance and arrives at cargo port, and during this period of time actually transport power cannot be had in the allotment period
Effect utilizes) transport power of the ship is actually by the state of " predetermined ".Traditional way is to try to the side in the port of departure with low price
Formula contracts the cargo for going to cargo port, guarantee will not null, then sail for port of destination from cargo port.If approach harbour, publication fortune
The information of power demand, general ship will not stop loading easily.It is (different whether the factor of primary concern meets delivery demand
Cargo have to ship have particular/special requirement ratio such as whether needing Refrigerated Transport, course line hydrologic regime, voyage schedule calculate etc.) and it is surplus
Whether remaining transport power can satisfy delivery requires and whether air route track can match etc..
Based on the above, applicant provide one kind can in shipping company it is administrative whole shipping supplies carry out dynamic monitorings and
The method of allotment.It is based primarily upon following invention thinking, passes through several ships of method real-time monitoring of big data cloud computing
Course data, load-carrying data and course line matching, and according to each harbour after real-time analysis prediction a period of time of big data
Transport power situation, and on data platform match ship and transport power relationship.This method is that the operation prediction based on big data is completed
's.The efficiency of the data operation of obvious flood tide is the guarantee that guarantees the sets of plan and can effectively carry out, and further, applicant mentions
For a kind of method for monitoring ship shipping data, selected by shipping supply data queue of the method appropriate to acquisition,
Promote the validity and correctness of the dynamic monitoring to shipping supply.It can effectively be deployed based on correct transport power monitoring data
Shipping supply enables and sufficiently matches in the ship of way shipping with the transport power demand of line down an airway, promotes shipping efficiency and warp
Ji benefit.
Summary of the invention
In order to solve the above technical problems, the present invention provides a kind of method that the transport power to several ships is monitored,
And the transport power situation of change of the data information counting statistics ship by the container to be collected, due to the same time several
Ship can generate the data of flood tide, this data is ranked up by reasonable method need to set in this way, to promote having for calculating
Effect property and correctness, further being combined based on the accurate statistics to transport power is mainly that container approaches to harbour transport power demand
The statistical forecasts of data cases go out the transport power demand of a period of time, realize the matching of accurately transport power ability and transport power demand,
And navigated according to the precision for transferring realizing route of guidance path and hydrologic regime, the final linkage for realizing ship, which is transported, to be promoted
Conevying efficiency and economic benefit.
A kind of monitoring of shipping dynamic transport power and concocting method comprising for the positioning system of monitoring ship oceangoing ship location information,
The network data platform for collecting shipping demand, further includes the system for monitoring the container data information on ship, described
System includes,
Digital information label, is set on container body, is used to trace container body and be managed, and will
Data information is transmitted to host computer；
Wireless communication module sends the data information of the container of statistics to host computer and analyzes and counts；At data
Control module is managed, for data processing, function control, system program storage and operation；
It is realized by following steps to the transport power data monitoring of ship and the allotment of transport power,
Step 1, the container data input that ship is transported and automatic identification, by first terminal to collecting on ship
The input and modification of the electronic tag basic data of vanning, and confirm the port of departure geographical location information of container, customs inspection
The location information of point and the geographical location information for reaching harbour, and pass through entire shipping of the global positioning system to the container
Journey is monitored；Second terminal identification positioned at the sluice gate of port of destination, stockyard or harbour is transported to the container of port of destination
Information collection；
Step 2, transport power data information exchange will be in first terminal and second terminal by the Radio Network System in port area
The container data information of acquisition is transferred in container data information real-time monitoring system；
Step 3, the monitoring and processing of transport power data, the data information real-time monitoring system includes data client,
Dispatch processor and cloud computing service center, wherein the container number collected via first terminal and second terminal
It is believed that breath is caught in client, the dispatch processor includes adjuster, storage device and scheduling and management module
Composition, wherein the data packet for coming together in client container data information collected via first terminal and second terminal will be by
It is sorted according to priority, sequentially enters calculation processing in cloud computing environment；
Step 4, transport power requirement forecasting, in the setting container data acquisition system of each port location, the container
Data collection system includes that several are set in port and pier stockyard and enter number of fields to container using communication
The device being collected is measured, and the data center being set in harbour, the data center can be with communication satellite systems
The signal processing terminal link；
Container data is set and increases judgment threshold point, the threshold point obtains in the following manner: being with 1.5 hours
One time quantum, the number within the unit time of container quantity collected by the container data acquisition system by a certain harbour
Amount is ranked up；The d of following formula will be metiIt is judged as outlier: | di-di-1| in > C, i=2 ..., n above formula, i indicates i-th of list
In the period of position, d1, d2..., dnIt is the number of the container recorded sequentially in time, C is given threshold value；
When at least continuously there are 3 outliers, the transport power statistics will be by the boat at a certain harbour with matching unit
The associated position data in road and the hydro_geography information at harbour call in data platform, calculate the electronics at map graph interface
The map range harbour in ground is nearest and time that still have the path of the ship of transport power to reach the harbour；
When continuously there are 6 outliers, transport power statistics and matching unit will be to the maps of the ship closest to the harbour
It shows that transport power predictive information and ship itself arrive at the time at harbour on the electronic map of graphical interfaces device, and predicts ship
Oceangoing ship arrives at the shipping transport power demand data information at harbour moment.
Step 5, transport power are matched with demand, and a data processing platform (DPP) is arranged, and the container based on mouth in step 4 port enters
The increased numbers of number it is predicted that a certain moment harbour transport power demand, and matched with the transport power ability counted in step 3；
Step 6, transport power are deployed, and the ship of allotment is cooked up in the map graph interface device according to step 4
Navigation, and handled according to the following steps: according to the satellite positioning signal of the GPS, calculate on the ship
Positioning device current location, and using the current location as an instant message；Navigation device reads the instant message；According to
Whether the instant message judges the ship on the guidance path of planning；When judging the ship not in the flight guidance path
When upper, navigation device reads the location information of the instant message and terminal again；And the ship trajectory data according to the ship, planning
Navigation route between position and terminal in this prior out, to compile guidance path.
It is divided into the monitoring of the transport power situation of each ship in the transportation network to several ships composition in the present invention, and
Two parts of prediction of the transport power demand at several harbours are combined with the matching to form the transport power and demand that effectively link
Mode.It is the data of the transport power of the container contained to ship optimized in scheme as above for the technical contribution of transport power monitoring
Update the sequence for entering cloud computing with data information.Enable to the validity of data processing and correctness that can protect based on sequence
The case where card more importantly prevents data peaks from entering the paralysis that cloud computing service center may cause side by side generation.
Further, the prioritization method in above scheme in step 3 is as follows:
Note,Wherein λiThe warp that the ship for being i is collected via first terminal and second terminal is numbered for some
The data of its container transported reach the arrival rate of cloud computing service center, and λ is that whole ships pass through first terminal and second
The data of terminal container total after collecting reach the arrival rate of cloud computing service center；
Wherein, LSEnter the container information length of data queue calculated for total, E [T] is that collection is completed in the unit time
The probability of packaging data processing,
E[Ti]=1- ρi=λi×Ti
Wherein, μ is calculation rate in the unit time, and T is to calculate service unit's time, ρiFor number be i ship via the
The number communication strength for the container through its transport that one terminal and second terminal are collected, TiTo number the ship for being i via first
The time of computer disposal, E [T pass through in the data queue for the container through its transport that terminal and second terminal are collectedi] via
The probability of computer disposal passes through in the data queue for the container through its transport that first terminal and second terminal are collected；According to E
[Ti] numerical value the descending sequence of university.
The first terminal or second terminal is can be to the scanning means that electronic labeling information is read out, and leads to
Data information after scanning is sent to host computer by the wired or wireless device crossed in the equipment, and the host computer is can
The data information of container is stored and is carried out the component of operation.
In above scheme, so-called first terminal, second terminal can specifically be interpreted as identifying the number on container
The device of word label.Main purpose is to realize the base for the input that data are carried out to the information for the container for having been loaded into upper ship
Plinth work.And second terminal is then change of the statistics in the container data of each information node position (the generally sluice gate at harbour)
Change, and shipping supply information is adjusted according to the information in this variation adjustment cargo data library.It is produced in real time in numerous ships thus
In the case where raw data, client will do tidal data recovering, and the data that several clients are collected again are uploaded to host computer
Counting statistics in cloud computing service center.This is just to need to be ranked up so numerous data queues, track data queue
In data volume, the ability of operation setting of Cloud Server, comprehensive calculate such as communication strength of harbour wireless network can some
The probability that the data that ship generates can be completed within the unit time by operation, size based on probability is to data queue order
It is sequentially completed the calculating service of flood tide and provides, the reality of the transport power of transport power statistical data and single ship in entire transportation network
When monitoring data.
Further, the data of the container according to collected by first terminal and second terminal are believed in the step three
Breath, is compared, and update the mission bit stream in ship datebase with the information in ship datebase, cargo data library, and
Capacity information in cargo data library specifically, setting the route information of ship in ship datebase in the port of departure, and is arranged
Several collect the node location of the data information of container, update route information after arriving at corresponding node, and root simultaneously
The data information of container in the cargo data library is updated according to the data collection of the container of second terminal, and according to packaging
The data information of case updates the new transport power data under the node location and is uploaded to host computer, and at the data in step 5
The transport power prediction and matching at the harbour that platform is predicted, when in the updated cargo data library of a certain node data information with
The transport power demand at the harbour of prediction matches, then transfers navigation environment database root according to node location, prediction transport power demand point harbour
3 points of the port location hydrology for calculating the performance and navigation route opening the navigation or air flight route and match ship itself of position and port of destination are believed
The collocation degree of breath judges whether to can satisfy the demand of transport power allotment.
Transport power monitoring data need to match with transport power forecast demand after generating, and provide the decision-making foundation of ship allotment, optimization
Matching scheme.
A kind of shipping dynamic transport power monitoring provided by the invention and concocting method, the beneficial effect is that: divide in the present invention
For the monitoring of the transport power situation of each ship in the transportation network that is formed to several ships, and the transport power to several harbours
Two parts of prediction of demand combine the matching way to form the transport power and demand that effectively link.In scheme as above for
The technical contribution of transport power monitoring is that the data of the transport power of the container contained to ship optimized update and data information enters
The sequence of cloud computing.Enable to the validity of data processing and correctness that can guarantee more importantly to prevent from counting based on sequence
Enter the generation of the case where paralysis that cloud computing service center may cause side by side according to peak value；
Further first terminal, second terminal can specifically be interpreted as identifying the dress of the digital label on container
It sets.Main purpose is to realize the element task for the input that data are carried out to the information for the container for having been loaded into upper ship.And
Second terminal is then variation of the statistics in the container data of each information node position (the generally sluice gate at harbour), and according to
The information in this variation adjustment cargo data library adjusts shipping supply information.Generate the feelings of data in real time in numerous ships thus
Under condition, client will do tidal data recovering, and the data that several clients are collected again are uploaded to the cloud computing service of host computer
Counting statistics in center.This be the data volume for just needing to be ranked up so numerous data queue, in track data queue,
Comprehensive calculate such as communication strength of ability, harbour wireless network that the operation of Cloud Server is arranged is capable of the number that some ship generates
According to the probability that can be completed within the unit time by operation, size based on probability is sequentially completed flood tide to data queue order
Calculating service and provide, the Real-time Monitoring Data of the transport power of transport power statistical data and single ship in entire transportation network；
It is matched according to the above transport power Real-time Monitoring Data with the big data of transport power demand and course line location navigation and the hydrology
The matching of information can effectively realize that the matching of the dynamic transport power of network-linked and demand promotes transport power efficiency and economic effect
Benefit.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described.
Attached drawing 1 is functional flow diagram in the present invention；
Attached drawing 2 is the frame diagram of transport power real-time monitoring system in the present invention；
Attached drawing 3 is the flow chart of transport power monitoring and allotment in the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description.
The present embodiment is as shown in Figures 1 to 3, a kind of monitoring of shipping dynamic transport power and concocting method comprising be used for monitoring ship
The positioning system of oceangoing ship location information collects the network data platform of shipping demand, further includes for monitoring the container on ship
The system of data information, the system include,
Digital information label, is set on container body, is used to trace container body and be managed, and will
Data information is transmitted to host computer；
Wireless communication module sends the data information of the container of statistics to host computer and analyzes and counts；At data
Control module is managed, for data processing, function control, system program storage and operation；
It is realized by following steps to the transport power data monitoring of ship and the allotment of transport power,
Step 1, the container data input that ship is transported and automatic identification, by first terminal to collecting on ship
The input and modification of the electronic tag basic data of vanning, and confirm the port of departure geographical location information of container, customs inspection
The location information of point and the geographical location information for reaching harbour, and pass through entire shipping of the global positioning system to the container
Journey is monitored；Second terminal identification positioned at the sluice gate of port of destination, stockyard or harbour is transported to the container of port of destination
Information collection.The first terminal or second terminal be can to the scanning means that electronic labeling information is read out, and
The data information after scanning is sent to host computer by the wired or wireless device in the equipment, the host computer is energy
Enough components for the data information of container being stored and being carried out operation.
Step 2, transport power data information exchange will be in first terminal and second terminal by the Radio Network System in port area
The container data information of acquisition is transferred in container data information real-time monitoring system；
Step 3, the monitoring and processing of transport power data, the data information real-time monitoring system includes data client,
Dispatch processor and cloud computing service center, wherein the container number collected via first terminal and second terminal
It is believed that breath is caught in client, the dispatch processor includes adjuster, storage device and scheduling and management module
Composition, wherein the data packet for coming together in client container data information collected via first terminal and second terminal will be by
It is sorted according to priority, sequentially enters calculation processing in cloud computing environment, the prioritization method is as follows:
Note,Wherein λiThe warp that the ship for being i is collected via first terminal and second terminal is numbered for some
The data of its container transported reach the arrival rate of cloud computing service center, and λ is that whole ships pass through first terminal and second
The data of terminal container total after collecting reach the arrival rate of cloud computing service center；
Wherein, LSEnter the container information length of data queue calculated for total, E [T] is that collection is completed in the unit time
The probability of packaging data processing,
E[Ti]=1- ρi=λi×Ti
Wherein, μ is calculation rate in the unit time, and T is to calculate service unit's time, ρiFor number be i ship via the
The number communication strength for the container through its transport that one terminal and second terminal are collected, TiTo number the ship for being i via first
The time of computer disposal, E [T pass through in the data queue for the container through its transport that terminal and second terminal are collectedi] via
The probability of computer disposal passes through in the data queue for the container through its transport that first terminal and second terminal are collected；According to E
[Ti] the descending sequence of numerical value.
Step 4, transport power requirement forecasting, the container data acquisition system including being set to port location, the packaging
Case data collection system include several be set in port and pier stockyard using communication to container admission
The device that quantity is collected, and the data center being set in harbour, the data center can be with telecommunication satellite systems
The signal processing terminal of uniting link；One data processing unit predicts the transport power demand at each harbour by following algorithm:
Container data is set and increases judgment threshold point, the threshold point obtains in the following manner: being with 1.5 hours
One time quantum, the number within the unit time of container quantity collected by the container data acquisition system by a certain harbour
Amount is ranked up；The d of following formula will be metiIt is judged as outlier: | di-di-1| in > C, i=2 ..., n above formula, i indicates i-th of list
In the period of position, d1, d2..., dnIt is the number of the container recorded sequentially in time, C is given threshold value；
When at least continuously there are 3 outliers, it will by the associated position data in the navigation channel at a certain harbour and port
The hydro_geography information of mouth calls in data processing platform (DPP), and in the electronically map range at map graph interface, the harbour is nearest for calculating
And time for still thering is the path of the ship of transport power to reach the harbour；
Step 5, transport power are matched with demand, and when continuously there are 6 outliers, data processing platform (DPP) will be somebody's turn to do to closest
Show that transport power predictive information and ship itself arrive at harbour on the electronic map of the map graph interface device of the ship at harbour
Time, and predict the arrival of ship harbour moment shipping transport power demand data information and with the transport power that is counted in step 3
Ability matching；
Step 6, transport power are deployed, and the ship of allotment is cooked up in the map graph interface device according to step 4
Navigation, and handled according to the following steps: according to the satellite positioning signal of the GPS, calculate on the ship
Positioning device current location, and using the current location as an instant message；Navigation device reads the instant message；According to
Whether the instant message judges the ship on the guidance path of planning；When judging the ship not in the flight guidance path
When upper, navigation device reads the location information of the instant message and terminal again；And the ship trajectory data according to the ship, planning
Navigation route between position and terminal in this prior out, to compile guidance path.
It is divided into the monitoring of the transport power situation of each ship in the transportation network to several ships composition in the present invention, and
Two parts of prediction of the transport power demand at several harbours are combined with the matching to form the transport power and demand that effectively link
Mode.It is the data of the transport power of the container contained to ship optimized in scheme as above for the technical contribution of transport power monitoring
Update the sequence for entering cloud computing with data information.Enable to the validity of data processing and correctness that can protect based on sequence
The case where card more importantly prevents data peaks from entering the paralysis that cloud computing service center may cause side by side generation.
Further, the data of the container according to collected by first terminal and second terminal are believed in the step three
Breath, is compared, and update the mission bit stream in ship datebase with the information in ship datebase, cargo data library, and
Capacity information in cargo data library specifically, setting the route information of ship in ship datebase in the port of departure, and is arranged
Several collect the node location of the data information of container, update route information after arriving at corresponding node, and root simultaneously
The data information of container in the cargo data library is updated according to the data collection of the container of second terminal, and according to packaging
The data information of case updates the new transport power data under the node location and is uploaded to host computer, and at the data in step 5
The transport power prediction and matching at the harbour that platform is predicted, when in the updated cargo data library of a certain node data information with
The transport power demand at the harbour of prediction matches, then transfers navigation environment database root according to node location, prediction transport power demand point harbour
3 points of the port location hydrology for calculating the performance and navigation route opening the navigation or air flight route and match ship itself of position and port of destination are believed
The collocation degree of breath judges whether to can satisfy the demand of transport power allotment.
Transport power monitoring data need to match with transport power forecast demand after generating, and provide the decision-making foundation of ship allotment, optimization
Matching scheme.
Claims (5)
1. a kind of shipping dynamic transport power monitoring and concocting method comprising for the positioning system of monitoring ship oceangoing ship location information, search
The network data platform for collecting shipping demand, further includes the system for monitoring the container data information on ship, described is
System includes,
Digital information label, is set on container body, is used to trace container body and be managed, and by data
Information is transmitted to host computer；
Wireless communication module sends the data information of the container of statistics to host computer and analyzes and counts；
Data processing and control module, for data processing, function control, system program storage and operation；
It is characterized in that, realized by following steps to the transport power data monitoring of ship and the allotment of transport power,
Step 1, to container data input and automatic identification that ship is transported, by first terminal to container on ship
Electronic tag basic data input and modification, and confirm the port of departure geographical location information of container, customs inspection point
Location information and the geographical location information for reaching harbour, and by global positioning system to the entire shipping process of the container into
Row monitoring；Second terminal identification positioned at the sluice gate of port of destination, stockyard or harbour is transported to the information of the container of port of destination
Acquisition；
Step 2, transport power data information exchange, the Radio Network System by port area will obtain in first terminal and second terminal
Container data information be transferred in container data information real-time monitoring system；
Step 3, the monitoring and processing of transport power data, the container data information real-time monitoring system includes data consumers
End, dispatch processor and cloud computing service center, wherein the container collected via first terminal and second terminal
Data information is caught in client, and the dispatch processor includes adjuster, storage device and scheduling and management mould
Block composition, wherein will via the data packet for coming together in client container data information that first terminal and second terminal are collected
It is sorted according to priority, sequentially enters calculation processing in cloud computing environment；
Step 4, transport power requirement forecasting, in the setting container data acquisition system of each port location, the container data
Acquisition system include several be set in port and pier stockyard using communication to container enter number into
The device that row is collected, and the data center being set in harbour, the data center can be with communication satellite system signals
Processing terminal link；
Step 5, transport power are matched with transport power demand, and a data processing platform (DPP) is arranged, and the container based on step 4 kind harbour enters
The increased numbers of number it is predicted that a certain moment harbour transport power demand, and matched with the transport power ability counted in step 3；
Step 6, transport power are deployed, and the marine navigation of allotment is cooked up in the map graph interface device according to step 4,
And handled according to the following steps: according to the satellite positioning signal of the GPS, calculating and determine on the ship
The current location of position device, and using the current location as an instant message；Navigation device reads the instant message；It is according to this
When message, judge the ship whether on the guidance path of planning；When judging the ship not on the flight guidance path,
Navigation device reads the location information of the instant message and terminal again；And the ship trajectory data according to the ship, it cooks up
Navigation route between the current location and terminal, to compile guidance path.
2. a kind of shipping dynamic transport power monitoring according to claim 1 and concocting method, which is characterized in that wherein step 3
In prioritization method it is as follows:
RememberWherein λiThe ship for being i for some number is transported via what first terminal and second terminal were collected through it
The data of defeated container reach the arrival rate of cloud computing service center, and λ is that whole ships pass through first terminal and second terminal
The data of total container reach the arrival rate of cloud computing service center after collection；
Wherein, LSEnter the container information length of data queue calculated for total, E [T] is that container is completed in the unit time
The probability of data processing,
E[Ti]=1- ρi=λi×Ti
Wherein, μ is calculation rate in the unit time, and T is to calculate service unit's time, ρiTo number the ship for being i via first terminal
The number communication strength for the container through its transport collected with second terminal, TiFor number be i ship via first terminal and
The time of computer disposal, E [T pass through in the data queue for the container through its transport that second terminal is collectedi] whole via first
The probability of computer disposal passes through in the data queue for the container through its transport that end and second terminal are collected；According to E [Ti] number
The descending sequence of value.
3. a kind of shipping dynamic transport power monitoring according to claim 1 or 2 and concocting method, which is characterized in that described
First terminal or second terminal be can be to the scanning means that electronic labeling information is read out, and by the equipment
Data information after scanning is sent to host computer by wired or wireless device, and the host computer is can be to the number of container
It is believed that breath is stored and is carried out the component of operation.
4. a kind of shipping dynamic transport power monitoring according to claim 1 or 2 and concocting method, which is characterized in that described
The step of three in the container according to collected by first terminal and second terminal data information, with ship datebase, cargo number
It is compared according to the information in library, and updates the mission bit stream in ship datebase and the capacity information in cargo data library,
Specifically, setting the route information of ship in ship datebase in the port of departure, and several data for collecting container are set
The node location of information updates route information after arriving at corresponding node, and simultaneously according to the number of the container of second terminal
It updates according to the data information for collecting container in the cargo data library described in updating, and according to the data information of container in the section
New transport power data and the fortune at the harbour for being uploaded to host computer, and being predicted with the data processing platform (DPP) in step 5 under point position
Power prediction and matching, when the transport power demand at the harbour of data information and prediction in the updated cargo data library of a certain node
Match, then transfers navigation environment database root according to node location, the port location of prediction transport power demand point port location and port of destination
The collocation degree of 3 points of hydrographic informations for calculating the performance opened the navigation or air flight route and match ship itself and navigation route judges whether can
Meets the needs of transport power allotment.
5. a kind of shipping dynamic transport power monitoring according to claim 4 and concocting method, which is characterized in that the step
Predict that the algorithm of transport power is as follows in five:
Container data is set and increases judgment threshold point, the threshold point obtains in the following manner: with 1.5 hours for one
Time quantum, the quantity within the unit time of container quantity collected by the container data acquisition system by a certain harbour into
Row sequence；The d of following formula will be metiIt is judged as outlier: | di-di-1| in > C, i=2 ..., n above formula, when i indicates i-th of unit
Between in section, d1, d2..., dnIt is the number of the container recorded sequentially in time, C is given threshold value；
When at least continuously there are 3 outliers, the transport power statistics will be by the navigation channel phase at a certain harbour with matching unit
Associated position data and the hydro_geography information at harbour call in data platform, calculate the electronic map at map graph interface
On apart from the harbour it is nearest and still there is the path of ship of transport power to reach time at the harbour；
When continuously there are 6 outliers, transport power statistics and matching unit will be to the map graphs of the ship closest to the harbour
The time at transport power predictive information and ship itself purpose harbour is shown on the electronic map of interface device, and is predicted ship and supported
Up to the shipping transport power demand data information at the harbour moment.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111784074A (en) * | 2020-07-17 | 2020-10-16 | 上海乾臻信息科技有限公司 | Real-time traffic line transport capacity monitoring method and device |
| CN112668964A (en) * | 2020-12-23 | 2021-04-16 | 北京京东振世信息技术有限公司 | Transportation certificate routing method, device, equipment and computer readable storage medium |
| CN113837801A (en) * | 2021-09-24 | 2021-12-24 | 中远海运科技股份有限公司 | Ship identification method |
| CN114169966A (en) * | 2021-12-08 | 2022-03-11 | 海南港航控股有限公司 | Method and system for extracting unit data of goods by tensor |
| CN117094630A (en) * | 2023-10-17 | 2023-11-21 | 武汉理工大学 | Waterway transportation and transportation method, device, equipment and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111784074A (en) * | 2020-07-17 | 2020-10-16 | 上海乾臻信息科技有限公司 | Real-time traffic line transport capacity monitoring method and device |
| CN111784074B (en) * | 2020-07-17 | 2022-08-23 | 上海乾臻信息科技有限公司 | Real-time traffic line transport capacity monitoring method and device |
| CN112668964A (en) * | 2020-12-23 | 2021-04-16 | 北京京东振世信息技术有限公司 | Transportation certificate routing method, device, equipment and computer readable storage medium |
| CN113837801A (en) * | 2021-09-24 | 2021-12-24 | 中远海运科技股份有限公司 | Ship identification method |
| CN113837801B (en) * | 2021-09-24 | 2024-05-28 | 中远海运科技股份有限公司 | Ship identification method |
| CN114169966A (en) * | 2021-12-08 | 2022-03-11 | 海南港航控股有限公司 | Method and system for extracting unit data of goods by tensor |
| CN117094630A (en) * | 2023-10-17 | 2023-11-21 | 武汉理工大学 | Waterway transportation and transportation method, device, equipment and storage medium |
| CN117094630B (en) * | 2023-10-17 | 2024-02-23 | 武汉理工大学 | Waterway transportation and transportation method, device, equipment and storage medium |
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