Power plant wharf congestion early warning method and system
By obtaining and preprocessing power plant terminal transportation data from various data sources, setting the congestion judgment logic and frequency, building a congestion warning model, generating prediction data and determining congestion levels, triggering corresponding early warning strategies, and displaying data in real time through a visual interface, the prediction and early warning problems of power plant terminal congestion are solved, and work efficiency is improved.
Patent Information
- Application Number
- CN202510380655.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-28
- Publication Date
- 2025-07-01
AI Technical Summary
Congestion often occurs during power plant terminals, which affects work efficiency. The existing technology mainly analyzes the current situation and lacks prediction and early warning of future congestion.
By obtaining power plant terminal transportation data from each data source and performing data preprocessing, setting the congestion determination logic and frequency, building a congestion warning model, generating prediction data and determining the congestion level, triggering the corresponding warning strategy, and displaying the data in real time through the visual interface.
It effectively realizes congestion warnings on power plant terminals, improves work efficiency, and can predict and deal with possible congestion situations in advance.
Smart Images

Figure CN120234601A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of congestion warning, and in particular to a congestion warning method and system for a power plant terminal. Background Art
[0002] With the continuous development of the scale of power plants, the transportation scale of power plant terminals has also expanded. During the transportation process, due to various factors such as the scale of the terminal, the number of storage yards, and the transportation efficiency, congestion often occurs at power plant terminals, seriously affecting the working efficiency of power plant terminals; in addition, the congestion phenomenon has hysteresis, and the existing congestion analysis mainly analyzes and determines the current congestion situation, and there is insufficient analysis for predicting and warning future congestion situations.
[0003] Therefore, the present invention provides a congestion warning method and system for a power plant terminal. Summary of the Invention
[0004] The present invention provides a congestion warning method and system for a power plant terminal. By obtaining the transportation data of the power plant terminal from various data sources and performing data preprocessing, the current transportation data of the power plant terminal is determined; the congestion determination logic and the congestion determination frequency of the power plant terminal are set, and the current congestion data of the power plant terminal is determined according to the current transportation data of the power plant terminal; a congestion warning model for the power plant terminal is constructed, the congestion prediction data of the power plant terminal is generated according to the current transportation data of the power plant terminal and the congestion level is determined, and the congestion warning strategy of the power plant terminal is triggered according to the congestion level and the congestion warning data of the power plant terminal is generated; a congestion visualization interface for the power plant terminal is constructed to display the congestion data of the power plant terminal, the congestion prediction data of the power plant terminal, and the congestion warning data of the power plant terminal in real time; effectively realizing the congestion warning of the power plant terminal.
[0005] The present invention provides a congestion warning method for a power plant terminal, including: Step 1: Obtain the transportation data of the power plant terminal from various data sources and perform data preprocessing to determine the current transportation data of the power plant terminal; Step 2: Set the congestion determination logic and the congestion determination frequency of the power plant terminal, and determine the current congestion data of the power plant terminal according to the current transportation data of the power plant terminal; Step 3: Construct a congestion warning model for the power plant terminal, generate the congestion prediction data of the power plant terminal according to the current transportation data of the power plant terminal and determine the congestion level, and trigger the congestion warning strategy of the power plant terminal according to the congestion level and generate the congestion warning data of the power plant terminal; Step 4: Construct a congestion visualization interface for the power plant terminal to display the congestion data of the power plant terminal, the congestion prediction data of the power plant terminal, and the congestion warning data of the power plant terminal in real time.
[0006] A method for predicting congestion at a power plant terminal provided by the present invention obtains the transfer data of the power plant terminal from various data sources and performs data preprocessing to determine the current transfer data of the power plant terminal, including: Obtain the transfer data of the power plant terminal from various data sources, where the data sources include: the data source of domestic trade or imported coal transfer orders, the data source of river ship transfers, and the data source of the number of berths and handling rates at the power plant terminal; Perform data preprocessing on the transfer data of the power plant terminal, and determine the current transfer data of the power plant terminal according to the results of the data preprocessing. Among them, the data preprocessing includes: data cleaning preprocessing, data normalization preprocessing, and data integration processing.
[0007] A method for predicting congestion at a power plant terminal provided by the present invention sets the congestion determination logic and the congestion determination frequency of the power plant terminal, and determines the current congestion data of the power plant terminal according to the current transfer data of the power plant terminal, including: Obtain the influencing factors for congestion determination at the power plant terminal and set the influence weights of the influencing factors for congestion at the power plant terminal on the congestion determination at the power plant terminal. Set the congestion determination logic at the power plant terminal according to the historical congestion data at the power plant terminal. Among them, the influencing factors for congestion determination at the power plant terminal include: the influencing factor of the berth occupancy rate at the power plant terminal, the influencing factor of the yard occupancy rate at the power plant terminal, the influencing factor of the waiting time of ships at the power plant terminal, and the influencing factor of the transfer efficiency at the power plant terminal; Set the congestion determination frequency of the power plant terminal and perform periodic congestion determination on the congestion at the power plant terminal; Determine the current congestion data of the power plant terminal according to the congestion determination logic at the power plant terminal and the current transfer data of the power plant terminal.
[0008] A method for predicting congestion at a power plant terminal provided by the present invention sets the congestion determination frequency of the power plant terminal and performs periodic congestion determination on the congestion at the power plant terminal, including: Obtain the user's congestion determination frequency requirement. If there is a user's congestion determination frequency requirement, set the congestion determination frequency of the power plant terminal according to the user's congestion determination frequency requirement and perform periodic congestion determination on the congestion at the power plant terminal; If there is no user's congestion determination frequency requirement, set the congestion determination frequency of the power plant terminal according to the congestion determination resources at the power plant terminal and the update frequency of the transfer data of the power plant terminal, and perform periodic congestion determination on the congestion at the power plant terminal.
[0009] A method for predicting congestion at a power plant terminal provided by the present invention constructs a congestion warning model for the power plant terminal, generates congestion prediction data for the power plant terminal according to the current transfer data of the power plant terminal and determines the congestion level, and triggers the congestion warning strategy for the power plant terminal according to the congestion level and generates congestion warning data for the power plant terminal, including: Obtain the historical transportation data and historical congestion data of the power plant terminal, select a prediction model, and construct a congestion early warning model for the power plant terminal. Among them, the prediction models include: time series model, machine learning model, and deep learning model; Randomly select some data from the historical transportation data and historical congestion data of the power plant terminal respectively to form a validation set for the congestion early warning model of the power plant terminal, and conduct model verification on the congestion early warning model of the power plant terminal to determine the prediction accuracy of the congestion early warning model of the power plant terminal; When the prediction accuracy of the congestion early warning model of the power plant terminal is not lower than the preset prediction value, it is determined that the prediction of the congestion early warning model of the power plant terminal is accurate, the model verification of the congestion early warning model of the power plant terminal passes, and it is determined that the construction of the congestion early warning model of the power plant terminal is completed; Input the current transportation data of the power plant terminal into the completed congestion early warning model of the power plant terminal to generate transportation prediction data of the power plant terminal; Conduct congestion determination on the transportation prediction data of the power plant terminal according to the congestion determination logic of the power plant terminal to determine the congestion prediction data of the power plant terminal; When the congestion prediction data of the power plant terminal shows that there is no congestion at the power plant terminal, no congestion level determination is performed on the congestion prediction data of the power plant terminal; When the congestion prediction data of the power plant terminal shows that there is congestion at the power plant terminal, normalize the congestion influencing factors of the power plant terminal, and combine the influence weight of the congestion influencing factors of the power plant terminal on the congestion determination and the historical transportation data of the power plant terminal to determine the congestion index range of the power plant terminal; Set congestion levels, divide the congestion index range of the power plant terminal according to the congestion levels, and determine the congestion index range of the power plant terminal corresponding to each congestion level. Among them, the congestion levels include: low congestion level, medium congestion level, and high congestion level; Obtain the predicted congestion influence data corresponding to the congestion influencing factors of the power plant terminal according to the congestion prediction data of the power plant terminal, and determine the congestion prediction index of the power plant terminal; ; where F represents the congestion prediction index of the power plant terminal; x2i1 represents the i1th historical transportation prediction data of the power plant terminal generated by the congestion early warning model of the power plant terminal; x1i1 represents the actual transportation data of the power plant terminal corresponding to the i1th historical transportation prediction data of the power plant terminal generated by the congestion early warning model of the power plant terminal; represents the prediction accuracy of the congestion early warning model of the power plant terminal; yj1 represents the predicted congestion influence data corresponding to the j1th congestion influencing factor obtained according to the congestion prediction data of the power plant terminal; represents the influence weight of the j1th congestion influencing factor on the congestion determination of the power plant terminal; n1 represents the number of historical transportation prediction data of the power plant terminal; m1 represents the number of congestion influencing factors of the power plant terminal; Determine the congestion level of the power plant terminal congestion prediction data according to the power plant terminal congestion prediction index; Trigger the power plant terminal congestion warning strategy according to the congestion level and generate the power plant terminal congestion warning data.
[0010] According to a power plant terminal congestion warning method provided by the present invention, triggering the power plant terminal congestion warning strategy according to the congestion level and generating the power plant terminal congestion warning data includes: Obtain the power plant terminal congestion warning strategy and set the trigger conditions for the power plant terminal congestion warning strategies at different congestion levels; Trigger the power plant terminal congestion warning strategy according to the congestion level and generate the power plant terminal congestion warning data, wherein the power plant terminal congestion warning data includes: congestion warning level data, congestion warning time data, congestion warning range data, and congestion warning control data.
[0011] According to a power plant terminal congestion warning method provided by the present invention, construct a power plant terminal congestion visualization interface to display the power plant terminal congestion data, the power plant terminal congestion prediction data, and the power plant terminal congestion warning data in real time, including: Construct a power plant terminal congestion visualization interface to display the power plant terminal congestion data, the power plant terminal congestion prediction data, and the power plant terminal congestion warning data in real time; Set user access permissions and display the corresponding content of the power plant terminal congestion visualization interface according to the user access permissions.
[0012] The present invention provides a power plant terminal congestion warning system, including: A transportation acquisition module for obtaining power plant terminal transportation data from various data sources and performing data preprocessing to determine the current power plant terminal transportation data; A congestion determination module for setting the power plant terminal congestion determination logic and the power plant terminal congestion determination frequency, and determining the current power plant terminal congestion data according to the current power plant terminal transportation data; A congestion warning module for constructing a power plant terminal congestion warning model, generating power plant terminal congestion prediction data according to the current power plant terminal transportation data and determining the congestion level, triggering the power plant terminal congestion warning strategy according to the congestion level and generating the power plant terminal congestion warning data; An early warning visualization module for constructing a power plant terminal congestion visualization interface to display the power plant terminal congestion data, the power plant terminal congestion prediction data, and the power plant terminal congestion warning data in real time.
[0013] Compared with the prior art, the beneficial effects of the present application are as follows: By obtaining the transportation data of the power plant terminal from various data sources and performing data preprocessing, the current transportation data of the power plant terminal is determined; setting the congestion determination logic and frequency of the power plant terminal, and determining the current congestion data of the power plant terminal according to the current transportation data of the power plant terminal; constructing a congestion warning model for the power plant terminal, generating congestion prediction data for the power plant terminal according to the current transportation data of the power plant terminal and determining the congestion level, triggering the congestion warning strategy for the power plant terminal according to the congestion level and generating congestion warning data for the power plant terminal; constructing a visualization interface for the congestion of the power plant terminal, and displaying the congestion data of the power plant terminal, the congestion prediction data of the power plant terminal and the congestion warning data of the power plant terminal in real time; effectively realizing the congestion warning of the power plant terminal.
[0014] Other features and advantages of the present invention will be described in the following specification, and in part will be obvious from the specification, or will be understood by implementing the present invention. The objectives and other advantages of the present invention can be realized and obtained by the structure specifically pointed out in the written specification and the drawings.
[0015] The technical solutions of the present invention will be further described in detail below with reference to the drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] The drawings are used to provide a further understanding of the present invention, and constitute a part of the specification, and are used to explain the present invention together with the embodiments of the present invention, and do not constitute a limitation to the present invention. In the drawings: Figure 1 is a schematic flowchart of a method for warning congestion of a power plant terminal provided by an embodiment of the present invention; Figure 2 is a schematic structural diagram of a system for warning congestion of a power plant terminal provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0017] The following describes the preferred embodiments of the present invention with reference to the drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.
[0018] Embodiment 1: An embodiment of the present invention provides a method for warning congestion of a power plant terminal, as Figure 1 shown, including: Step 1: Obtain the transportation data of the power plant terminal from various data sources and perform data preprocessing to determine the current transportation data of the power plant terminal; Step 2: Set the congestion determination logic and frequency of the power plant terminal, and determine the current congestion data of the power plant terminal according to the current transportation data of the power plant terminal; Step 3: Build a congestion warning model for the power plant terminal, generate congestion prediction data for the power plant terminal based on the current transfer data of the power plant terminal, determine the congestion level, trigger the congestion warning strategy for the power plant terminal according to the congestion level, and generate congestion warning data for the power plant terminal; Step 4: Build a visualization interface for the congestion of the power plant terminal to display in real time the congestion data of the power plant terminal, the congestion prediction data of the power plant terminal, and the congestion warning data of the power plant terminal.
[0019] In this embodiment, the data source refers to the source where the transfer data of the power plant terminal is obtained.
[0020] In this embodiment, the transfer data of the power plant terminal refers to the data of the transfer of coal at the power plant terminal.
[0021] In this embodiment, the current transfer data of the power plant terminal refers to the congestion data of the power plant terminal during the current period.
[0022] In this embodiment, the congestion determination logic of the power plant terminal refers to the logic for determining whether the power plant terminal is congested.
[0023] In this embodiment, the congestion determination frequency of the power plant terminal refers to the frequency of determining the congestion of the power plant terminal according to the congestion determination logic of the power plant terminal.
[0024] In this embodiment, the congestion warning model of the power plant terminal refers to the model for predicting and warning the congestion of the power plant terminal.
[0025] In this embodiment, the congestion prediction data of the power plant terminal refers to the prediction data obtained by inputting the current transfer data of the power plant terminal into the built congestion warning model of the power plant terminal.
[0026] In this embodiment, the congestion level refers to the level indicating the congestion situation of the power plant terminal.
[0027] In this embodiment, the congestion warning strategy of the power plant terminal refers to the warning strategy when it is determined that the power plant terminal is congested.
[0028] In this embodiment, the congestion warning data of the power plant terminal is the data generated by triggering the congestion warning strategy of the power plant terminal according to the congestion level, and is used to control the congestion situation of the power plant terminal.
[0029] In this embodiment, the visualization interface for the congestion of the power plant terminal refers to the interface for visually displaying the congestion situation and the congestion prediction situation of the power plant terminal.
[0030] The working principle and beneficial effects of the above technical solution are as follows: By obtaining the transfer data of the power plant terminal from various data sources and performing data preprocessing, the current transfer data of the power plant terminal is determined; setting the congestion determination logic and congestion determination frequency of the power plant terminal, and determining the current congestion data of the power plant terminal according to the current transfer data of the power plant terminal; constructing a congestion warning model for the power plant terminal, generating congestion prediction data for the power plant terminal according to the current transfer data of the power plant terminal and determining the congestion level, triggering the congestion warning strategy for the power plant terminal according to the congestion level and generating congestion warning data for the power plant terminal; constructing a congestion visualization interface for the power plant terminal, and displaying the congestion data of the power plant terminal, the congestion prediction data of the power plant terminal, and the congestion warning data of the power plant terminal in real time; effectively realizing the congestion warning for the power plant terminal.
[0031] Embodiment 2: The embodiment of the present invention provides a method for warning of congestion at a power plant terminal, which obtains the transfer data of the power plant terminal from various data sources and performs data preprocessing to determine the current transfer data of the power plant terminal, including: Obtaining the transfer data of the power plant terminal from various data sources, where the data sources include: the transfer order data source of domestic trade or imported coal, the transfer data source of river ships, and the data source of the number of berths and loading and unloading rates of the power plant terminal; Performing data preprocessing on the transfer data of the power plant terminal, and determining the current transfer data of the power plant terminal according to the data preprocessing result, where the data preprocessing includes: data cleaning preprocessing, data normalization preprocessing, and data integration processing.
[0032] In this embodiment, the data source refers to the source where the transfer data of the power plant terminal is obtained. For example, the transfer data of the power plant terminal is obtained from the transfer order data source of imported coal.
[0033] In this embodiment, the transfer data of the power plant terminal refers to the data of transferring coal at the power plant terminal, including: the transfer quantity and the transfer time.
[0034] In this embodiment, the current transfer data of the power plant terminal refers to the transfer data of the power plant terminal in the current period.
[0035] The working principle and beneficial effects of the above technical solution are as follows: By obtaining the transfer data of the power plant terminal from the data source and performing data preprocessing, the current transfer data of the power plant terminal is determined, laying a data foundation for subsequent warning of congestion at the power plant terminal.
[0036] Embodiment 3: The embodiment of the present invention provides a method for warning of congestion at a power plant terminal, which sets the congestion determination logic and congestion determination frequency of the power plant terminal, and determines the current congestion data of the power plant terminal according to the current transfer data of the power plant terminal, including: Obtain the influencing factors for determining the congestion of the power plant terminal and set the influence weights of the influencing factors for the congestion of the power plant terminal on the determination of the congestion of the power plant terminal. Set the congestion determination logic of the power plant terminal according to the historical congestion data of the power plant terminal. Among them, the influencing factors for determining the congestion of the power plant terminal include: the influencing factor of the berth occupancy rate of the power plant terminal, the influencing factor of the yard occupancy rate of the power plant terminal, the influencing factor of the waiting time of ships at the power plant terminal, and the influencing factor of the transfer efficiency of the power plant terminal; Set the congestion determination frequency of the power plant terminal and conduct periodic congestion determination on the congestion of the power plant terminal; Determine the current congestion data of the power plant terminal according to the congestion determination logic of the power plant terminal and the current transfer data of the power plant terminal.
[0037] In this embodiment, the influencing factors for determining the congestion of the power plant terminal refer to the factors that affect the determination of whether the power plant terminal is congested. For example, the influencing factor of the berth occupancy rate of the power plant terminal, the influencing factor of the yard occupancy rate of the power plant terminal, the influencing factor of the waiting time of ships at the power plant terminal, and the influencing factor of the transfer efficiency of the power plant terminal.
[0038] In this embodiment, the influence weights of the influencing factors for the congestion of the power plant terminal on the determination of the congestion of the power plant terminal can be determined according to the historical congestion data of the power plant terminal or user settings.
[0039] In this embodiment, the historical congestion data of the power plant terminal refers to the data of the congestion of the power plant terminal in the historical period.
[0040] In this embodiment, the congestion determination logic of the power plant terminal refers to the logic for determining whether the power plant terminal is congested.
[0041] In this embodiment, the congestion determination frequency of the power plant terminal refers to the frequency of conducting congestion determination on the power plant terminal according to the congestion determination logic of the power plant terminal. For example, if a congestion determination is made every 1 day, the congestion determination frequency is 1 time per day.
[0042] In this embodiment, the current congestion data of the power plant terminal refers to the data of the congestion of the power plant terminal in the current period.
[0043] The working principle and beneficial effects of the above technical solution are: By setting the congestion determination logic and congestion determination frequency of the power plant terminal and determining the current congestion data of the power plant terminal according to the current transfer data of the power plant terminal, it is beneficial to realize the congestion early warning of the power plant terminal subsequently.
[0044] Embodiment 4: The embodiment of the present invention provides a method for predicting the congestion of a power plant terminal. Set the congestion determination frequency of the power plant terminal and conduct periodic congestion determination on the congestion of the power plant terminal, including: Obtain the user's demand for the congestion determination frequency. If there is a user's demand for the congestion determination frequency, then set the congestion determination frequency according to the user's demand for the congestion determination frequency and conduct periodic congestion determination on the congestion of the power plant terminal; If there is no user congestion determination frequency requirement, the congestion determination frequency is set according to the power plant terminal congestion determination resources and the update frequency of the power plant terminal transportation data, and periodic congestion determination is performed on the power plant terminal congestion.
[0045] In this embodiment, the user congestion determination frequency requirement refers to the user's requirement for the congestion determination frequency. For example, the user requires the user determination frequency to be once every 0.5 days.
[0046] In this embodiment, the power plant terminal congestion determination resources refer to the resources used for power plant terminal congestion determination. The more power plant terminal congestion determination resources there are, the higher the congestion determination frequency can be.
[0047] The working principle and beneficial effects of the above technical solution are: By setting the congestion determination frequency and performing periodic congestion determination on the power plant terminal congestion, it is beneficial to ensure the effectiveness of subsequent congestion warning for the power plant terminal.
[0048] Embodiment 5: The embodiment of the present invention provides a method for power plant terminal congestion warning, constructs a power plant terminal congestion warning model, generates power plant terminal congestion prediction data based on the current power plant terminal transportation data and determines the congestion level, and triggers the power plant terminal congestion warning strategy according to the congestion level and generates power plant terminal congestion warning data, including: Obtain the historical transportation data of the power plant terminal and the historical congestion data of the power plant terminal, select a prediction model, and construct a power plant terminal congestion warning model, where the prediction model includes: time series model, machine learning model, and deep learning model; Randomly select some data from the historical transportation data of the power plant terminal and the historical congestion data of the power plant terminal respectively to form a verification set of the power plant terminal congestion warning model, and perform model verification on the power plant terminal congestion warning model to determine the prediction accuracy of the power plant terminal congestion warning model; When the prediction accuracy of the power plant terminal congestion warning model is not lower than the preset prediction value, it is determined that the prediction of the power plant terminal congestion warning model is accurate, the model verification of the power plant terminal congestion warning model passes, and it is determined that the construction of the power plant terminal congestion warning model is completed; Input the current power plant terminal transportation data into the constructed power plant terminal congestion warning model to generate power plant terminal transportation prediction data; Perform congestion determination on the power plant terminal transportation prediction data according to the power plant terminal congestion determination logic to determine the power plant terminal congestion prediction data; When the power plant terminal congestion prediction data shows that there is no power plant terminal congestion, no congestion level determination is performed on the power plant terminal congestion prediction data; When the congestion prediction data of the power plant terminal shows that congestion occurs at the power plant terminal, normalize the influencing factors of the power plant terminal congestion, and determine the range of the power plant terminal congestion index by combining the influencing weight of the power plant terminal congestion influencing factors on the congestion determination of the power plant terminal and the historical transportation data of the power plant terminal; Set the congestion level, divide the range of the power plant terminal congestion index according to the congestion level, and determine the range of the power plant terminal congestion index corresponding to each congestion level, where the congestion levels include: low congestion level, medium congestion level, and high congestion level; Obtain the predicted congestion influence data corresponding to the influencing factors of the power plant terminal congestion according to the congestion prediction data of the power plant terminal, and determine the power plant terminal congestion prediction index; ; where, F represents the power plant terminal congestion prediction index; x2i1 represents the i1th historical power plant terminal transportation prediction data generated by the power plant terminal congestion warning model; x1i1 represents the actual power plant terminal transportation data corresponding to the i1th historical power plant terminal transportation prediction data generated by the power plant terminal congestion warning model; represents the prediction accuracy of the power plant terminal congestion warning model; yj1 represents the predicted congestion influence data corresponding to the j1th power plant terminal congestion influencing factor obtained according to the power plant terminal congestion prediction data; represents the influencing weight of the j1th power plant terminal congestion influencing factor on the congestion determination of the power plant terminal; n1 represents the number of historical power plant terminal transportation prediction data; m1 represents the number of power plant terminal congestion influencing factors; Determine the congestion level of the power plant terminal congestion prediction data according to the power plant terminal congestion prediction index; Trigger the power plant terminal congestion warning strategy according to the congestion level and generate the power plant terminal congestion warning data.
[0049] In this embodiment, the historical transportation data of the power plant terminal refers to the transportation data of the power plant terminal within the historical period; the historical congestion data of the power plant terminal refers to the congestion data of the power plant terminal within the historical period.
[0050] In this embodiment, the power plant terminal congestion warning model refers to a model for predicting and warning congestion of the power plant terminal.
[0051] In this embodiment, the validation set refers to a data set for validating the power plant terminal congestion warning model to determine the prediction accuracy of the power plant terminal congestion warning model.
[0052] In this embodiment, the preset prediction value refers to a preset value for determining whether the power plant terminal congestion model predicts accurately.
[0053] In this embodiment, the power plant terminal transportation prediction data refers to the prediction data obtained by inputting the current power plant terminal transportation data into the constructed power plant terminal congestion warning model, which is used to represent the future transportation situation of the power plant terminal and further analyze and predict the future congestion situation of the power plant terminal.
[0054] In this embodiment, the power plant terminal congestion prediction data refers to the data determined by performing congestion determination on the power plant terminal transportation prediction data according to the power plant terminal congestion determination logic, and is the prediction data used to represent the future congestion situation of the power plant terminal.
[0055] In this embodiment, the factors affecting the congestion of the power plant terminal are normalized to facilitate subsequent unified weighting processing.
[0056] In this embodiment, the range of the power plant terminal congestion index refers to the range of the power plant terminal congestion index determined based on the historical transportation data of the power plant terminal.
[0057] In this embodiment, the congestion level refers to the level indicating the congestion situation of the power plant terminal.
[0058] In this embodiment, the power plant terminal congestion index refers to a numerical value used to quantitatively represent the congestion situation of the power plant terminal, which is determined based on the factors affecting the congestion of the power plant terminal and the influence weight of the factors affecting the congestion of the power plant terminal on the congestion determination of the power plant terminal.
[0059] In this embodiment, the predicted congestion influence data refers to the data corresponding to each factor affecting the congestion of the power plant terminal in the power plant terminal congestion prediction data. For example, the predicted electrophoresis rate data of the power plant terminal berth.
[0060] In this embodiment, the power plant terminal congestion prediction index refers to a numerical value used to represent the predicted congestion situation of the power plant terminal, which is determined based on the predicted congestion influence data corresponding to the factors affecting the congestion of the power plant terminal.
[0061] The working principle and beneficial effects of the above technical solution are as follows: By constructing a power plant terminal congestion warning model, generating power plant terminal congestion prediction data based on the current power plant terminal transportation data and determining the congestion level, triggering the power plant terminal congestion warning strategy according to the congestion level and generating power plant terminal congestion warning data, the congestion warning of the power plant terminal is realized.
[0062] Embodiment 6: The embodiment of the present invention provides a method for warning of congestion in a power plant terminal, which triggers a congestion warning strategy for the power plant terminal according to the congestion level and generates congestion warning data for the power plant terminal, including: Obtaining the congestion warning strategy for the power plant terminal and setting the triggering conditions for the congestion warning strategies of different congestion levels of the power plant terminal; Trigger the congestion warning strategy of the power plant terminal according to the congestion level and generate the congestion warning data of the power plant terminal. The congestion warning data of the power plant terminal includes: congestion warning level data, congestion warning time data, congestion warning range data, and congestion warning control data.
[0063] In this embodiment, the congestion warning strategy of the power plant terminal refers to the warning strategy when it is determined that the power plant terminal is congested.
[0064] In this embodiment, the trigger conditions of the congestion warning strategies for power plant terminals with different congestion levels are different.
[0065] In this embodiment, the congestion warning data of the power plant terminal refers to the data generated by triggering the congestion warning strategy of the power plant terminal according to the congestion level, and is used to control the congestion situation of the power plant terminal.
[0066] The working principle and beneficial effects of the above technical solution are: Trigger the congestion warning strategy of the power plant terminal according to the congestion level and generate the congestion warning data of the power plant terminal, which is beneficial to subsequent congestion control based on the congestion warning data of the power plant terminal.
[0067] Embodiment 7: The embodiment of the present invention provides a method for warning of congestion at a power plant terminal, constructing a visual interface for congestion at the power plant terminal, and real-time displaying the congestion data of the power plant terminal, the congestion prediction data of the power plant terminal, and the congestion warning data of the power plant terminal, including: Construct a visual interface for congestion at the power plant terminal, and real-time display the congestion data of the power plant terminal, the congestion prediction data of the power plant terminal, and the congestion warning data of the power plant terminal; Set user access permissions, and display the display content of the visual interface for congestion at the power plant terminal accordingly according to the user access permissions.
[0068] In this embodiment, the visual interface for congestion at the power plant terminal refers to an interface that visually displays the congestion situation and congestion prediction situation of the power plant terminal.
[0069] In this embodiment, setting user access permissions and displaying the display content of the visual interface for congestion at the power plant terminal accordingly according to the user access permissions means displaying the congestion data of the power plant terminal, the congestion prediction data of the power plant terminal, and the congestion warning data of the power plant terminal under the corresponding permissions according to the user access permissions.
[0070] The working principle and beneficial effects of the above technical solution are: By constructing a visual interface for congestion at the power plant terminal and real-time displaying the congestion data of the power plant terminal, the congestion prediction data of the power plant terminal, and the congestion warning data of the power plant terminal, the congestion warning of the power plant terminal is further realized.
[0071] Embodiment 8: Such as Figure 2As shown in the figure, an embodiment of the present invention provides a congestion warning method for a power plant terminal, which specifically includes: A transportation acquisition module, configured to acquire the transportation data of the power plant terminal from each data source and perform data preprocessing to determine the current transportation data of the power plant terminal; A congestion determination module, configured to set the congestion determination logic and the congestion determination frequency of the power plant terminal, and determine the current congestion data of the power plant terminal according to the current transportation data of the power plant terminal; A congestion warning module, configured to construct a congestion warning model for the power plant terminal, generate congestion prediction data for the power plant terminal according to the current transportation data of the power plant terminal and determine the congestion level, trigger the congestion warning strategy for the power plant terminal according to the congestion level and generate congestion warning data for the power plant terminal; A warning visualization module, configured to construct a congestion visualization interface for the power plant terminal, and display in real time the congestion data of the power plant terminal, the congestion prediction data of the power plant terminal, and the congestion warning data of the power plant terminal.
[0072] The working principle and beneficial effects of the above technical solution are as follows: By acquiring the transportation data of the power plant terminal from each data source and performing data preprocessing, the current transportation data of the power plant terminal is determined; the congestion determination logic and the congestion determination frequency of the power plant terminal are set, and the current congestion data of the power plant terminal is determined according to the current transportation data of the power plant terminal; a congestion warning model for the power plant terminal is constructed, congestion prediction data for the power plant terminal is generated according to the current transportation data of the power plant terminal and the congestion level is determined, the congestion warning strategy for the power plant terminal is triggered according to the congestion level and congestion warning data for the power plant terminal is generated; a congestion visualization interface for the power plant terminal is constructed, and the congestion data of the power plant terminal, the congestion prediction data of the power plant terminal, and the congestion warning data of the power plant terminal are displayed in real time; effectively realizing the congestion warning of the power plant terminal.
[0073] Finally, it should be noted that: The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: They can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims
1. A power plant terminal congestion early warning method, characterized in that: include: Step 1: Obtain power plant terminal transportation data from various data sources and perform data preprocessing to determine the current power plant terminal transportation data; Step 2: Set the power plant terminal congestion determination logic and power plant terminal congestion determination frequency, and determine the current power plant terminal congestion data based on the current power plant terminal dispatch data; Step 3: Construct a power plant terminal congestion warning model, generate power plant terminal congestion prediction data based on the current power plant terminal transportation data and determine the congestion level, trigger the power plant terminal congestion warning strategy based on the congestion level and generate power plant terminal congestion warning data; Step 4: Build a visualization interface for power plant terminal congestion to display power plant terminal congestion data, power plant terminal congestion prediction data, and power plant terminal congestion warning data in real time.
2. A power plant terminal congestion early warning method according to claim 1, characterized in that: Obtain power plant terminal dispatch data from various data sources and perform data preprocessing to determine the current power plant terminal dispatch data, including: Obtaining power plant terminal transportation data from various data sources, where the data sources include: domestic trade or imported coal transportation order data source, river ship transportation data source, and power plant terminal berth number and loading and unloading rate data source; The power plant terminal transportation data is preprocessed, and the current power plant terminal transportation data is determined according to the data preprocessing results, wherein the data preprocessing includes: data cleaning preprocessing, data normalization preprocessing and data integration processing.
3. A power plant terminal congestion early warning method according to claim 1, characterized in that: Set the power plant terminal congestion determination logic and congestion determination frequency, and determine the current power plant terminal congestion data based on the current power plant terminal transportation data, including: Obtain the influencing factors for determining congestion at the power plant terminal and set the weights of the factors affecting congestion at the power plant terminal on the determination of congestion at the power plant terminal. Set the determination logic for congestion at the power plant terminal according to the historical congestion data at the power plant terminal. The influencing factors for determining congestion at the power plant terminal include: factors affecting the occupancy rate of berths at the power plant terminal, factors affecting the occupancy rate of storage yards at the power plant terminal, factors affecting the waiting time of ships at the power plant terminal, and factors affecting the transportation efficiency of the power plant terminal. Set the congestion determination frequency and conduct periodic congestion determination on the power plant terminal congestion; The current power plant terminal congestion data is determined based on the power plant terminal congestion determination logic and the current power plant terminal transportation data.
4. A power plant terminal congestion early warning method according to claim 3, characterized in that: Set the congestion determination frequency and conduct periodic congestion determination on the power plant terminal congestion, including: Obtain the user's congestion determination frequency demand. If there is a user's congestion determination frequency demand, set the congestion determination frequency according to the user's congestion determination frequency demand, and perform periodic congestion determination on the power plant terminal congestion; If there is no user congestion determination frequency demand, the congestion determination frequency is set according to the power plant terminal congestion determination resources and the update frequency of the power plant terminal dispatch data, and periodic congestion determination is performed on the power plant terminal congestion.
5. The method for early warning of congestion at a power plant terminal according to claim 1, characterized in that: Construct a power plant terminal congestion warning model, generate power plant terminal congestion prediction data and determine the congestion level based on the current power plant terminal dispatch data, trigger the power plant terminal congestion warning strategy based on the congestion level and generate power plant terminal congestion warning data, including: Obtain historical dispatch data and historical congestion data of power plant terminals, select prediction models, and build a power plant terminal congestion warning model. The prediction models include: time series model, machine learning model, and deep learning model; Randomly select some data from the historical dispatch data of the power plant terminal and the historical congestion data of the power plant terminal to form a verification set of the power plant terminal congestion warning model, conduct model verification on the power plant terminal congestion warning model, and determine the prediction accuracy of the power plant terminal congestion warning model; When the prediction accuracy of the power plant terminal congestion warning model is not lower than the preset prediction value, the prediction of the power plant terminal congestion warning model is determined to be accurate, the model verification of the power plant terminal congestion warning model is passed, and the construction of the power plant terminal congestion warning model is determined to be completed; Input the current power plant terminal transportation data into the constructed power plant terminal congestion warning model to generate power plant terminal transportation forecast data; According to the power plant terminal congestion determination logic, the power plant terminal transportation forecast data is congested and determined to determine the power plant terminal congestion forecast data; When the power plant terminal congestion forecast data shows that there is no power plant terminal congestion, no congestion level determination is performed on the power plant terminal congestion forecast data; When the power plant terminal congestion prediction data shows that the power plant terminal congestion occurs, the factors affecting the power plant terminal congestion are normalized, and the power plant terminal congestion index range is determined by combining the influence weights of the factors affecting the power plant terminal congestion on the power plant terminal congestion judgment and the historical dispatching data of the power plant terminal; Set the congestion level, divide the power plant terminal congestion index range according to the congestion level, and determine the power plant terminal congestion index range corresponding to each congestion level, where the congestion level includes: low congestion level, medium congestion level and high congestion level; According to the power plant terminal congestion prediction data, the predicted congestion impact data corresponding to the power plant terminal congestion influencing factors are obtained to determine the power plant terminal congestion prediction index; ; Wherein, F represents the power plant terminal congestion prediction index; x2i1 represents the i1th historical power plant terminal transportation prediction data generated by the power plant terminal congestion warning model; x1i1 represents the actual power plant terminal transportation data corresponding to the i1th historical power plant terminal transportation prediction data generated by the power plant terminal congestion warning model; represents the prediction accuracy of the power plant terminal congestion warning model; yj1 represents the predicted congestion impact data corresponding to the j1th power plant terminal congestion influencing factor obtained based on the power plant terminal congestion prediction data; represents the influence weight of the j1th power plant terminal congestion influencing factor on the power plant terminal congestion judgment; n1 represents the number of historical power plant terminal transportation forecast data; m1 represents the number of power plant terminal congestion influencing factors; Determine the congestion level of the power plant terminal congestion prediction data according to the power plant terminal congestion prediction index; The power plant terminal congestion warning strategy is triggered according to the congestion level and the power plant terminal congestion warning data is generated.
6. A power plant terminal congestion early warning method according to claim 1, characterized in that: The power plant terminal congestion warning strategy is triggered according to the congestion level and the power plant terminal congestion warning data is generated, including: Obtain the power plant terminal congestion warning strategy and set the triggering conditions of the power plant terminal congestion warning strategy with different congestion levels; The power plant terminal congestion warning strategy is triggered according to the congestion level and the power plant terminal congestion warning data is generated, wherein the power plant terminal congestion warning data includes: congestion warning level data, congestion warning time data, congestion warning range data and congestion warning control data.
7. A power plant terminal congestion early warning method according to claim 1, characterized in that: Construct a visualization interface for power plant terminal congestion to display power plant terminal congestion data, power plant terminal congestion forecast data, and power plant terminal congestion warning data in real time, including: Construct a visualization interface for power plant terminal congestion to display power plant terminal congestion data, power plant terminal congestion prediction data, and power plant terminal congestion warning data in real time; Set user access rights and display the content of the power plant terminal congestion visualization interface accordingly based on the user's access rights.
8. A power plant terminal congestion warning system, characterized in that: include: The transportation acquisition module is used to obtain the power plant terminal transportation data from various data sources and perform data preprocessing to determine the current power plant terminal transportation data; Congestion determination module, used to set the power plant terminal congestion determination logic and power plant terminal congestion determination frequency, and determine the current power plant terminal congestion data according to the current power plant terminal transportation data; The congestion warning module is used to build a power plant terminal congestion warning model, generate power plant terminal congestion prediction data and determine the congestion level based on the current power plant terminal transportation data, trigger the power plant terminal congestion warning strategy according to the congestion level and generate power plant terminal congestion warning data; The early warning visual module is used to build a visualization interface for power plant terminal congestion, and to display power plant terminal congestion data, power plant terminal congestion prediction data, and power plant terminal congestion early warning data in real time.