Method and system for calculating popularity index of coal plant purchase and downstream purchase

Abstract

The invention provides a method and a system for calculating popularity indexes of coal plant purchase and downstream purchase. The method comprises the following steps: S101, a data acquisition module; s102, a data processing module; s103, an index calculation module; s104, designing a desensitization processing algorithm; and S105, an index release and analysis module. According to the method, the current market condition is reflected based on arithmetic averaging of the data of the near N days, the method has certain perspectiveness, and by introducing a fixed value for desensitization processing, sensitive business information is protected, and the universality and comparability of indexes are ensured. According to the method, the vehicle flow data of the coal logistics park is applied to market popularity evaluation for the first time, direct conversion from data to indexes is realized, and the blank of market popularity evaluation in the coal industry is filled. In addition, the method can be widely applied to upstream and downstream enterprises of the coal industry chain, financial institutions, government supervision departments and the like, and healthy and stable development of the coal market is promoted.

Description

Technical Field

[0001] The present invention relates to the technical fields of data analysis, data processing and information processing, and in particular to a method and an implementation system thereof for evaluating the purchasing enthusiasm of coal plants by using vehicle entry and exit data in a super-large coal logistics park. The method statistically analyzes the number of heavy vehicles entering and leaving the park every day, combines a specific algorithm, generates an index reflecting the trading enthusiasm of the coal market and the timing of coal hoarding, and provides decision support for participants in the coal industry. Background Art

[0002] With the rapid development of the coal industry, coal logistics parks, as key nodes in the coal supply chain, have become increasingly efficient and valuable. At present, there is a lack of effective indicators that directly reflect the purchasing activity of coal plants and the market heat. Traditional market analysis relies on macro data such as price and output, while ignoring the micro dynamics at the logistics level. Therefore, developing a purchasing heat index based on vehicle data from super-large coal logistics parks is of great significance for guiding coal procurement and predicting market trends. Summary of the invention

[0003] To solve the above situation, the present invention proposes an innovative method and system for calculating the heat index of coal plant procurement and downstream purchase. The system collects the real-time information of vehicles entering and leaving the coal logistics park by integrating unmanned weighing hardware and software systems, and innovatively constructs two key indexes by processing and analyzing the data of the number of vehicles entering and leaving the coal logistics park every day, providing an intuitive and quantitative heat assessment tool for the coal market.

[0004] In order to achieve the above purpose, the following technical solution is adopted: The present invention provides a method and system for calculating the coal plant procurement and downstream purchase heat index, including the following steps:

[0005] S101, data collection module: using the unmanned weighing system installed at the entrance of the coal logistics park to automatically record the data of vehicles entering the park every day;

[0006] S102, data processing module: cleaning the collected vehicle data, removing abnormal values, and ensuring data accuracy;

[0007] S103, index calculation module: the number of heavy vehicles entering and leaving the park in the past N days is weighted averaged to obtain the basic indicators of coal plant procurement and downstream purchasing activity;

[0008] S104, designing a desensitization processing algorithm: dividing the coal plant procurement and downstream purchasing activity basic indicators obtained in S103 by a fixed value to obtain the coal plant procurement heat index and the downstream purchasing heat index;

[0009] S105, index publishing and analysis module: The two calculated indexes are published through a visual interface for use by coal industry-related companies, investors and analysts. At the same time, functions such as historical data comparison and trend forecasting are provided to help users intuitively understand changes in market heat and determine the timing of stockpiling coal.

[0010] Furthermore, the unmanned weighing system in step S101 integrates high-precision sensors and intelligent recognition technology, which can automatically detect and record the information of each vehicle entering and leaving the park, including license plate number, vehicle model, weight, etc., and transmit it to the data processing center in real time through a system integrated with software and hardware to ensure the timeliness and integrity of the data. The data acquisition module also has a data verification function, which can automatically compare the vehicle entry and exit records to prevent data duplication or omission.

[0011] Furthermore, in step S102, the data processing module pre-processes the collected data, including eliminating abnormal and empty vehicle data, and to ensure data security, the data processing module uses encryption technology to store and transmit data to ensure the confidentiality and integrity of the data during transmission and storage.

[0012] Furthermore, the index calculation module in step S103 calculates the weighted average of the number of heavy vehicles entering and leaving the park every day according to the set time window (nearly N days). At the same time, the calculation of the weighted average takes into account the time factor and gives a higher weight to recent data to reflect the latest trend of market heat changes. Through the weighted average, the module obtains the basic indicators of coal plant procurement activity and downstream purchasing activity, respectively, providing data support for subsequent desensitization processing.

[0013] Furthermore, the purpose of the desensitization algorithm in step S104 is to protect commercial information while ensuring the comparability and universality of the index. The fixed value division method is used to divide the coal plant purchasing activity and downstream purchasing activity basic indicators by a pre-set fixed value. The setting of the fixed value is based on historical data and industry characteristics. After repeated testing and optimization, it is ensured that the desensitized index can truly reflect the changes in market popularity. At the same time, the index value after desensitization is controlled within a certain range, which is convenient for users to understand and compare.

[0014] Furthermore, the index publishing and analysis module in step S105 publishes the coal plant purchasing heat index and the downstream purchasing heat index calculated in S104 in real time through a visualization interface. Users can access the visualization interface through a mobile application to view index values, historical data comparisons, trend forecasts and other information. The interface also provides a wealth of charts and reporting tools to help users intuitively understand changes in market heat and determine the timing of stockpiling coal.

[0015] The beneficial effects of the present invention are:

[0016] (1) This invention applies the vehicle flow data of the coal logistics park to the market heat assessment for the first time, realizes the direct conversion from data to index, and fills the gap in the market heat assessment of the coal industry;

[0017] (2) Based on the arithmetic average of the data of the past N days, it not only reflects the current market conditions but also has a certain degree of foresight. By introducing fixed values ​​for desensitization, it not only protects sensitive business information but also ensures the universality and comparability of the index;

[0018] (3) The present invention can be widely used in upstream and downstream enterprises in the coal industry chain, financial institutions, government regulatory departments, etc., to provide a scientific basis for coal procurement, sales, inventory management, investment decisions and policy formulation, and promote the healthy and stable development of the coal market. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 The present invention is a schematic diagram of the overall structure of a method and system for calculating the coal plant procurement and downstream purchase heat index.

[0020] Explanation of the symbols in the schematic diagram:

[0021] S101, data collection module: using the unmanned weighing system installed at the entrance of the coal logistics park to automatically record the data of vehicles entering the park every day;

[0022] S102, data processing module: cleaning the collected vehicle data, removing abnormal values, and ensuring data accuracy;

[0023] S103, index calculation module: the number of heavy vehicles entering and leaving the park in the past N days is weighted averaged to obtain the basic indicators of coal plant procurement and downstream purchasing activity;

[0024] S104, designing a desensitization processing algorithm: dividing the coal plant procurement and downstream purchasing activity basic indicators obtained in S103 by a fixed value to obtain the coal plant procurement heat index and the downstream purchasing heat index;

[0025] S105, index publishing and analysis module: The two calculated indexes are published through a visual interface for use by coal industry-related companies, investors and analysts. At the same time, functions such as historical data comparison and trend forecasting are provided to help users intuitively understand changes in market heat and determine the timing of stockpiling coal. DETAILED DESCRIPTION

[0026] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0027] Unless otherwise defined, all professional and scientific terms used herein have the same meanings as those familiar to those skilled in the art. In addition, any methods and materials similar or equivalent to those described herein may be applied to the present invention. The preferred implementation methods and materials described herein are for demonstration purposes only and are not intended to limit the content of this application.

[0028] The experimental methods in the following examples are conventional methods unless otherwise specified, and the experimental materials used in the following examples are purchased from commercial channels unless otherwise specified.

[0029] Example 1

[0030] A method and system for calculating coal plant procurement and downstream purchase heat index

[0031] The method and system include the following steps:

[0032] S101, data collection module: using the unmanned weighing system installed at the entrance of the coal logistics park to automatically record the data of vehicles entering the park every day;

[0033] S102, data processing module: cleaning the collected vehicle data, removing abnormal values, and ensuring data accuracy;

[0034] S103, index calculation module: the number of heavy vehicles entering and leaving the park in the past N days is weighted averaged to obtain the basic indicators of coal plant procurement and downstream purchasing activity;

[0035] S104, designing a desensitization processing algorithm: dividing the coal plant procurement and downstream purchasing activity basic indicators obtained in S103 by a fixed value to obtain the coal plant procurement heat index and the downstream purchasing heat index;

[0036] S105, index publishing and analysis module: The two calculated indexes are published through a visual interface for use by coal industry-related companies, investors and analysts. At the same time, functions such as historical data comparison and trend forecasting are provided to help users intuitively understand changes in market heat and determine the timing of stockpiling coal.

[0037] The unmanned weighing system in step S101 integrates high-precision sensors and intelligent recognition technology, which can automatically detect and record the information of each vehicle entering and leaving the park, including license plate number, vehicle model, weight, etc., and transmit it to the data processing center in real time through a system integrated with software and hardware to ensure the timeliness and integrity of the data. The data acquisition module also has a data verification function, which can automatically compare the vehicle entry and exit records to prevent data duplication or omission.

[0038] In step S102, the data processing module pre-processes the collected data, including eliminating abnormal and empty vehicle data, and to ensure data security, the data processing module uses encryption technology to store and transmit data to ensure the confidentiality and integrity of the data during transmission and storage.

[0039] In step S103, the index calculation module calculates the weighted average of the number of heavy vehicles entering and leaving the park every day according to the set time window (nearly N days). At the same time, the calculation of the weighted average takes into account the time factor and gives a higher weight to recent data to reflect the latest trend of market heat changes. Through the weighted average, the module obtains the basic indicators of coal plant procurement activity and downstream purchasing activity, respectively, providing data support for subsequent desensitization processing.

[0040] The purpose of the desensitization algorithm in step S104 is to protect commercial information while ensuring the comparability and universality of the index. The fixed value division method is used to divide the coal plant purchasing activity and downstream purchasing activity basic indicators by a pre-set fixed value. The fixed value is set based on historical data and industry characteristics. After repeated testing and optimization, it is ensured that the desensitized index can truly reflect the changes in market popularity. At the same time, the index value after desensitization is controlled within a certain range to facilitate user understanding and comparison.

[0041] The index publishing and analysis module in step S105 publishes the coal plant purchasing heat index and the downstream purchasing heat index calculated in S104 in real time through a visualization interface. Users can access the visualization interface through a mobile application to view index values, historical data comparisons, trend forecasts and other information. The interface also provides a variety of charts and reporting tools to help users intuitively understand changes in market heat and determine the timing of stockpiling coal.

Claims

1. A method and system for calculating coal plant procurement and downstream purchase heat index, characterized in that: The steps include: S101, data collection module: using the unmanned weighing system installed at the entrance of the coal logistics park to automatically record the data of vehicles entering the park every day; S102, data processing module: cleaning the collected vehicle data, removing abnormal values, and ensuring data accuracy; S103, index calculation module: the number of heavy vehicles entering and leaving the park in the past N days is weighted averaged to obtain the basic indicators of coal plant procurement and downstream purchasing activity; S104, designing a desensitization processing algorithm: dividing the coal plant procurement and downstream purchasing activity basic indicators obtained in S103 by a fixed value to obtain the coal plant procurement heat index and the downstream purchasing heat index; S105, index publishing and analysis module: The two calculated indexes are published through a visual interface for use by coal industry-related companies, investors and analysts. At the same time, functions such as historical data comparison and trend forecasting are provided to help users intuitively understand changes in market heat and determine the timing of stockpiling coal.

2. A method and system for calculating coal plant procurement and downstream purchase heat index according to claim 1, characterized in that: The unmanned weighing system in step S101 integrates high-precision sensors and intelligent recognition technology, which can automatically detect and record the information of each vehicle entering and leaving the park, including license plate number, vehicle model, weight, etc., and transmit it to the data processing center in real time through a system integrated with software and hardware to ensure the timeliness and integrity of the data. The data acquisition module also has a data verification function, which can automatically compare the vehicle entry and exit records to prevent data duplication or omission.

3. A method and system for calculating coal plant procurement and downstream purchase heat index according to claim 1, characterized in that: In step S102, the data processing module pre-processes the collected data, including eliminating abnormal and empty vehicle data, and to ensure data security, the data processing module uses encryption technology to store and transmit data to ensure the confidentiality and integrity of the data during transmission and storage.

4. A method and system for calculating coal plant procurement and downstream purchase heat index according to claim 1, characterized in that: In step S103, the index calculation module calculates the weighted average of the number of heavy vehicles entering and leaving the park every day according to the set time window (nearly N days). At the same time, the calculation of the weighted average takes into account the time factor and gives a higher weight to recent data to reflect the latest trend of market heat changes. Through the weighted average, the module obtains the basic indicators of coal plant procurement activity and downstream purchasing activity, respectively, providing data support for subsequent desensitization processing.

5. A method and system for calculating coal plant procurement and downstream purchase heat index according to claim 1, characterized in that: The purpose of the desensitization algorithm in step S104 is to protect commercial information while ensuring the comparability and universality of the index. The fixed value division method is used to divide the coal plant purchasing activity and downstream purchasing activity basic indicators by a pre-set fixed value. The fixed value is set based on historical data and industry characteristics. After repeated testing and optimization, it is ensured that the desensitized index can truly reflect the changes in market popularity. At the same time, the index value after desensitization is controlled within a certain range to facilitate user understanding and comparison.

6. A method and system for calculating coal plant procurement and downstream purchase heat index according to claim 1, characterized in that: The index publishing and analysis module in step S105 publishes the coal plant purchasing heat index and the downstream purchasing heat index calculated in S104 in real time through a visualization interface. Users can access the visualization interface through a mobile application to view index values, historical data comparisons, trend forecasts and other information. The interface also provides a variety of charts and reporting tools to help users intuitively understand changes in market heat and determine the timing of stockpiling coal.

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