Coal storage monitoring method and device, electronic equipment and storage medium

Abstract

The invention discloses a coal storage monitoring method and device, electronic equipment and a storage medium. The method comprises the following steps: scanning a coal storage warehouse for storing coal to obtain a coal storage space model; performing region division on the coal storage space model to obtain a plurality of position regions; coal storage amount threshold value fluctuation intervals, environment coefficients and area fluctuation characteristic coefficients corresponding to the multiple position areas are obtained, the environment coefficients are used for representing the change degree of the coal stored in the coal storage warehouse affected by the environment, and the area fluctuation characteristic coefficients are used for representing the fluctuation condition of the coal price; and generating a coal storage monitoring result based on the coal storage amount threshold fluctuation interval, the environmental coefficient and the regional fluctuation characteristic coefficient, the coal storage monitoring result at least comprising one of the following: replenishment demand and calling priority link. According to the invention, the technical problems of low efficiency and single monitoring result of coal storage monitoring in the prior art are solved.

Description

Technical Field

[0001] The present invention relates to the field of coal storage monitoring, and in particular to a coal storage monitoring method, device, electronic equipment and storage medium. Background Art

[0002] In order to ensure the normal supply of coal, coal-using enterprises usually buy coal in batches and store the unused coal after purchase. However, in order to ensure the normality of coal supply data, enterprises will monitor the storage data of coal and provide early warning feedback when they sense abnormal situations.

[0003] At present, the monitoring of coal storage in relevant technologies usually requires technical personnel to patrol and inspect. The coal storage warehouses that need to be monitored are often large in area and space, and the efficiency of manual monitoring is low; or usually only the total reserves and other information of coal storage are monitored, which is difficult to meet the management and scheduling needs of coal storage, that is, the efficiency of coal storage monitoring is low and the monitoring results are relatively simple.

[0004] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0005] The embodiments of the present invention provide a method, device, electronic device and storage medium for monitoring coal storage, so as to at least solve the technical problems of low efficiency and relatively single monitoring results in the related art for monitoring coal storage.

[0006] According to one aspect of an embodiment of the present invention, a method for monitoring coal storage is provided, comprising: scanning a coal storage warehouse storing coal to obtain a coal storage space model; dividing the coal storage space model into regions to obtain a plurality of location regions; obtaining a coal storage threshold fluctuation interval, an environmental coefficient and a regional fluctuation characteristic coefficient corresponding to the plurality of location regions, wherein the coal storage threshold fluctuation interval is used to characterize a trend of changes in the remaining amount of coal in the coal storage warehouse, the environmental coefficient is used to characterize a degree of change in the environmental impact of the coal stored in the coal storage warehouse, and the regional fluctuation characteristic coefficient is used to characterize fluctuations in coal prices; based on the coal storage threshold fluctuation interval, the environmental coefficient and the regional fluctuation characteristic coefficient, a coal storage monitoring result is generated, wherein the coal storage monitoring result includes at least one of the following: a replenishment demand and a call priority link, wherein the replenishment demand is used to characterize the amount of coal replenished for the plurality of location regions, and the call priority link is used to characterize the coal call priority for the plurality of location regions.

[0007] Optionally, obtaining a threshold fluctuation range of coal storage volume corresponding to multiple location areas includes: obtaining historical storage information of coal in a coal storage warehouse, wherein the historical storage information includes at least the coal storage volume in multiple historical time intervals; predicting the changing trend of the remaining amount of coal corresponding to multiple location areas based on the historical storage information to obtain the threshold fluctuation range of coal storage volume.

[0008] Optionally, obtaining environmental coefficients corresponding to multiple location areas includes: obtaining coal storage time corresponding to the multiple location areas and coal color information in the coal scanning image; and determining the environmental coefficient based on the coal storage time and the coal color information.

[0009] Optionally, obtaining regional fluctuation characteristic coefficients corresponding to multiple location areas includes: obtaining a set of coal sales quotations from coal suppliers in different time intervals; and determining the regional fluctuation characteristic coefficients based on the set of coal sales quotations.

[0010] Optionally, when the coal storage monitoring results include replenishment demand, the coal storage monitoring results are generated based on the coal storage threshold fluctuation range, the environmental coefficient and the regional fluctuation characteristic coefficient, including: predicting the coal demand for multiple location areas at a preset future time point based on the coal storage threshold fluctuation range to obtain the initial replenishment demand; adjusting the initial replenishment demand based on the regional fluctuation characteristic coefficient to obtain the coal storage monitoring results.

[0011] Optionally, when the coal storage monitoring results include a call priority link, the coal storage monitoring results are generated based on the coal storage threshold fluctuation range, the environmental coefficient and the regional fluctuation characteristic coefficient, including: generating multiple coal call paths based on the location information of multiple location areas in the coal storage warehouse; generating a call priority link based on multiple coal call paths, the coal storage threshold fluctuation range and the environmental coefficient.

[0012] According to another aspect of an embodiment of the present invention, a coal storage monitoring device is also provided, including: a scanning module, used to scan a coal storage warehouse storing coal to obtain a coal storage space model; a division module, used to divide the coal storage space model into regions to obtain multiple location areas; an acquisition module, used to obtain the coal storage threshold fluctuation range, environmental coefficient and regional fluctuation characteristic coefficient corresponding to the multiple location areas, wherein the coal storage threshold fluctuation range is used to characterize the trend of the change in the remaining amount of coal in the coal storage warehouse, the environmental coefficient is used to characterize the degree of change of the coal stored in the coal storage warehouse affected by the environment, and the regional fluctuation characteristic coefficient is used to characterize the fluctuation of the coal price; a generation module, used to generate a coal storage monitoring result based on the coal storage threshold fluctuation range, environmental coefficient and regional fluctuation characteristic coefficient, wherein the coal storage monitoring result includes at least one of the following: a replenishment demand and a call priority link, wherein the replenishment demand is used to characterize the obtained amount of coal replenishment for multiple location areas, and the call priority link is used to characterize the obtained coal call priority for multiple location areas.

[0013] According to another aspect of an embodiment of the present invention, there is further provided an electronic device, comprising: a memory storing an executable program; and a processor for running the program, wherein the method in each embodiment of the present invention is executed when the program is running.

[0014] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is provided. The computer-readable storage medium includes a stored executable program, wherein when the executable program is running, the device where the computer-readable storage medium is located is controlled to execute the methods in various embodiments of the present invention.

[0015] According to another aspect of an embodiment of the present invention, a computer program product is provided, including a computer program. When the computer program is executed by a processor, the method in each embodiment of the present invention is implemented.

[0016] According to another aspect of an embodiment of the present invention, a computer program product is provided, including a non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method in each embodiment of the present invention is implemented.

[0017] According to another aspect of the embodiments of the present invention, a computer program is further provided. When the computer program is executed by a processor, the methods in the embodiments of the present invention are implemented.

[0018] In an embodiment of the present invention, a method for monitoring coal storage is provided, comprising: scanning a coal storage warehouse storing coal to obtain a coal storage space model; dividing the coal storage space model into regions to obtain a plurality of location regions; obtaining a coal storage threshold fluctuation interval, an environmental coefficient and a regional fluctuation characteristic coefficient corresponding to the plurality of location regions, wherein the coal storage threshold fluctuation interval is used to characterize a trend of changes in the remaining amount of coal in the coal storage warehouse, the environmental coefficient is used to characterize a degree of change in the environmental impact of the coal stored in the coal storage warehouse, and the regional fluctuation characteristic coefficient is used to characterize the fluctuation of coal prices; based on the coal storage threshold fluctuation interval, the environmental coefficient and the regional fluctuation characteristic coefficient, a coal storage monitoring result is generated, wherein the coal storage monitoring result includes at least one of the following: a replenishment demand and a call priority link, wherein the replenishment demand is used to characterize a quantity of coal replenished for the plurality of location regions, and the call priority link is used to characterize a coal call priority for the plurality of location regions. It is easy to notice that this application scans the coal storage warehouse and obtains the storage space model, then divides it into regions and obtains relevant parameters corresponding to multiple location areas, and obtains coal storage conditions, including storage volume changes, environmental impacts, price fluctuations and other information. After the storage space is divided into multiple location areas, it can be classified and managed according to actual conditions to improve the precision and efficiency of management. It can also understand the impact of the storage environment on coal and optimize coal price management, thereby bringing better economic benefits; it can optimize the process of coal replenishment and call, improve operational efficiency and cost control. It realizes dynamic adjustment of coal replenishment and call priority in multiple location areas, ensures the balance of coal supply and demand, improves the stability and flexibility of the storage system, and thus solves the technical problems of low efficiency and relatively single monitoring results of coal storage in related technologies. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0020] Figure 1 is a flow chart of a coal storage monitoring method according to an embodiment of the present invention;

[0021] Figure 2 is a schematic diagram of an optional coal storage monitoring method according to an embodiment of the present invention;

[0022] Figure 3 is a schematic diagram of an optional coal storage monitoring system according to an embodiment of the present invention;

[0023] Figure 4is a schematic diagram of a coal storage monitoring device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0024] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme 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, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0025] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0026] According to one aspect of an embodiment of the present invention, a method for monitoring coal storage is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in an order different from that shown here.

[0027] Figure 1 is a flow chart of a coal storage monitoring method according to an embodiment of the present invention, such as Figure 1 As shown, the method comprises the following steps:

[0028] Step S102, scanning the coal storage warehouse storing coal to obtain a coal storage space model.

[0029] In an optional embodiment, a coal storage warehouse storing coal can be scanned to obtain a coal storage space model. Specifically, it is necessary to first obtain the three-dimensional point cloud data or three-dimensional image data of the target object through a laser scanning instrument or an image three-dimensional scanning modeling device. Multiple reference points can be set in the coal storage warehouse for calibration and positioning of the scanned data. During the scanning process, the laser scanning instrument or the image three-dimensional scanning modeling device can completely cover the entire coal storage space and ensure the accuracy and integrity of the scanned data. Then, the scanned point cloud data and image data can be imported into a computer for processing. The scanned data is processed and analyzed by a three-dimensional reconstruction algorithm and point cloud processing software to generate a three-dimensional model of the coal storage space. During the processing, the model can be corrected and optimized as needed to ensure the accuracy and reliability of the model. The obtained coal storage space model can realize real-time monitoring of the coal storage situation, timely discover changes in coal storage volume, distribution and density, etc., and help to adjust the coal storage and management strategy in a timely manner. Through the coal storage space model, the stacking situation of coal can be analyzed and evaluated, potential safety hazards can be discovered in a timely manner, and the safety and stability of coal storage can be improved. The coal storage space model can provide a basis for the space planning and layout of the warehouse, optimize the coal storage structure in the warehouse, and improve storage efficiency and space utilization.

[0030] Step S104, dividing the coal storage space model into regions to obtain a plurality of location regions.

[0031] In an optional embodiment, the entire storage space can be divided into multiple location areas according to factors such as the type, quantity, and quality requirements of the coal, combined with management needs, and different storage conditions and management rules can be set for each area according to actual conditions. The standard for regional division can be set according to factors such as the nature of the coal, the storage method, and management requirements. After the storage space is divided into multiple location areas, classified management can be carried out according to actual conditions, improving the precision and efficiency of management, and timely discovering and solving problems. Regional division can make coal storage more orderly and improve the safety and stability of coal storage.

[0032] Step S106, obtaining the coal storage threshold fluctuation range, environmental coefficient and regional fluctuation characteristic coefficient corresponding to multiple location areas.

[0033] Among them, the coal storage threshold fluctuation range is used to characterize the changing trend of the remaining coal in the coal storage warehouse, the environmental coefficient is used to characterize the degree of change of the environmental impact of the coal stored in the coal storage warehouse, and the regional fluctuation characteristic coefficient is used to characterize the fluctuation of coal prices.

[0034] In an optional embodiment, the threshold fluctuation interval of coal storage volume, environmental coefficient and regional fluctuation characteristic coefficient corresponding to multiple location areas can be obtained. Specifically, the coal storage volume of each location area can be monitored in real time by sensors and other equipment, and the data can be transmitted to the monitoring center. For the acquisition of the threshold fluctuation interval of coal storage volume, historical data analysis and prediction algorithms can be used to predict the storage volume change trend in the future period of time based on the storage volume data in the past period of time, and determine the corresponding fluctuation interval. For the acquisition of environmental coefficients, it is possible to consider monitoring environmental factors around the storage warehouse, such as temperature, humidity, wind force, etc., and determine the degree of influence of environmental factors on coal storage volume through data analysis and modeling, and obtain the corresponding environmental coefficient. For the acquisition of regional fluctuation characteristic coefficients, the fluctuation of coal prices in different regions can be analyzed in combination with market data and coal price index, and the regional fluctuation characteristic coefficient can be obtained. Through the implementation of the above steps, the threshold fluctuation interval of coal storage volume, environmental coefficient and regional fluctuation characteristic coefficient corresponding to multiple location areas can be accurately obtained, so as to achieve more accurate monitoring and prediction in coal storage management, improve coal storage efficiency, reduce environmental impact, optimize coal price management, and thus bring better economic benefits.

[0035] Step S108, generating coal storage monitoring results based on the coal storage threshold fluctuation range, environmental coefficient and regional fluctuation characteristic coefficient.

[0036] Among them, the coal storage monitoring results include at least one of the following: replenishment demand and call priority link, wherein the replenishment demand is used to characterize the quantity of coal replenishment for multiple location areas, and the call priority link is used to characterize the coal call priority of multiple location areas.

[0037] In an optional embodiment, the replenishment demand and call priority link of each location area can be calculated based on the coal storage threshold fluctuation range, environmental coefficient and regional fluctuation characteristic coefficient. The replenishment demand is used to characterize the amount of coal replenishment for multiple location areas, and the call priority link is used to characterize the coal call priority of multiple location areas. Based on the analysis of factors such as the coal storage threshold fluctuation range, the replenishment demand and call priority link can be determined more accurately to help managers make more reasonable decisions; the accuracy and real-time performance of coal storage monitoring can be improved, and fluctuations in storage and environmental impacts can be discovered in time, providing reliable data support for management decisions. The process of coal replenishment and call can be optimized to improve operational efficiency and cost control. Dynamic adjustment of coal replenishment and call priority for multiple location areas can be achieved to ensure the balance of coal supply and demand and improve the stability and flexibility of the storage system.

[0038] In an embodiment of the present invention, a method for monitoring coal storage is provided, comprising: scanning a coal storage warehouse storing coal to obtain a coal storage space model; dividing the coal storage space model into regions to obtain a plurality of location regions; obtaining a coal storage threshold fluctuation interval, an environmental coefficient and a regional fluctuation characteristic coefficient corresponding to the plurality of location regions, wherein the coal storage threshold fluctuation interval is used to characterize a trend of changes in the remaining amount of coal in the coal storage warehouse, the environmental coefficient is used to characterize a degree of change in the environmental impact of the coal stored in the coal storage warehouse, and the regional fluctuation characteristic coefficient is used to characterize the fluctuation of coal prices; based on the coal storage threshold fluctuation interval, the environmental coefficient and the regional fluctuation characteristic coefficient, a coal storage monitoring result is generated, wherein the coal storage monitoring result includes at least one of the following: a replenishment demand and a call priority link, wherein the replenishment demand is used to characterize a quantity of coal replenished for the plurality of location regions, and the call priority link is used to characterize a coal call priority for the plurality of location regions. It is easy to notice that this application scans the coal storage warehouse and obtains the storage space model, then divides it into regions and obtains relevant parameters corresponding to multiple location areas, and obtains coal storage conditions, including storage volume changes, environmental impacts, price fluctuations and other information. After the storage space is divided into multiple location areas, it can be classified and managed according to actual conditions to improve the precision and efficiency of management. It can also understand the impact of the storage environment on coal and optimize coal price management, thereby bringing better economic benefits; it can optimize the process of coal replenishment and call, improve operational efficiency and cost control. It realizes dynamic adjustment of coal replenishment and call priority in multiple location areas, ensures the balance of coal supply and demand, improves the stability and flexibility of the storage system, and thus solves the technical problems of low efficiency and relatively single monitoring results of coal storage in related technologies.

[0039] Optionally, obtaining a threshold fluctuation range of coal storage volume corresponding to multiple location areas includes: obtaining historical storage information of coal in a coal storage warehouse, wherein the historical storage information includes at least the coal storage volume in multiple historical time intervals; predicting the changing trend of the remaining amount of coal corresponding to multiple location areas based on the historical storage information to obtain the threshold fluctuation range of coal storage volume.

[0040] In an optional embodiment, historical storage information of coal in a coal storage warehouse is collected and sorted, including the coal storage volume at multiple historical time intervals. This information can be obtained through real-time monitoring systems such as sensors and monitoring equipment, or can be obtained through historical records, warehouse management systems, and the like. Then, based on the historical storage information, data analysis and prediction algorithms are used to predict the change trend of the remaining amount of coal corresponding to multiple location areas. Time series analysis, regression analysis, machine learning, and other methods can be used to combine the trends and laws of historical data to predict the fluctuation of future coal storage volume. Finally, according to the prediction results, the threshold fluctuation interval of coal storage volume can be obtained, which can be used to characterize the change trend of the remaining amount of coal in the coal storage warehouse. When the actual storage volume exceeds or falls below the interval, timely measures can be taken to adjust and manage. Through the above steps, warehouse managers can be helped to discover abnormal changes in coal storage volume in a timely manner, prevent the occurrence of excessive or insufficient coal storage volume, and ensure the stability of coal supply. By analyzing and predicting based on historical storage information, managers can be helped to better formulate coal storage plans and scheduling plans, improve the efficiency of coal storage, and save costs.

[0041] Optionally, obtaining environmental coefficients corresponding to multiple location areas includes: obtaining coal storage time corresponding to the multiple location areas and coal color information in the coal scanning image; and determining the environmental coefficient based on the coal storage time and the coal color information.

[0042] In an optional embodiment, the storage time of coal corresponding to multiple location areas and the coal color information in the coal scan image can be obtained. First, multiple locations can be selected in the coal warehouse to record the storage time of coal corresponding to each location. Then, these locations are scanned using a digital camera or other imaging device to obtain the image information of the coal. The color information of the coal can be extracted through image processing technology. Then, a mathematical model or algorithm can be established to determine the environmental coefficient based on the storage time and color information of the coal that have been obtained. The color change law of coal under different storage times can be considered to infer the degree of environmental impact on the coal. For example, the degree of weathering, oxidation-reduction and other changes in the coal can be judged by the degree of color change, and then the environmental coefficient can be determined. By obtaining the environmental coefficients of multiple location areas and determining the environmental coefficients, the quality and preservation state of the coal can be more accurately evaluated, which is helpful to optimize the coal storage management strategy and reduce storage loss. By timely understanding the environmental impact of coal, corresponding measures can be taken to protect the quality of coal, reduce environmental risks, and ensure the safe storage and use of coal.

[0043] Optionally, obtaining regional fluctuation characteristic coefficients corresponding to multiple location areas includes: obtaining a set of coal sales quotations from coal suppliers in different time intervals; and determining the regional fluctuation characteristic coefficients based on the set of coal sales quotations.

[0044] In an optional embodiment, the coal sales quotation data of coal suppliers in different time intervals can be obtained, and these data can be obtained by signing a contract with the supplier or using a data collection tool. Then, based on the obtained coal sales quotation set, the price fluctuations of each region in different time periods can be calculated. These data can be analyzed by statistical methods or machine learning algorithms to determine the regional fluctuation characteristic coefficient. It can help monitor the fluctuation of coal prices and provide a reference for coal storage management. The fluctuation of coal prices can be monitored in real time, and the storage strategy can be adjusted in time to reduce storage costs.

[0045] Optionally, when the coal storage monitoring results include replenishment demand, the coal storage monitoring results are generated based on the coal storage threshold fluctuation range, the environmental coefficient and the regional fluctuation characteristic coefficient, including: predicting the coal demand for multiple location areas at a preset future time point based on the coal storage threshold fluctuation range to obtain the initial replenishment demand; adjusting the initial replenishment demand based on the regional fluctuation characteristic coefficient to obtain the coal storage monitoring results.

[0046] The above-mentioned preset future time point may refer to a time point after a preset current time point. The preset future time point may be determined according to actual needs and is not limited here.

[0047] In an optional embodiment, the coal storage threshold fluctuation range can be used to predict the coal demand at a preset future time point, and the fluctuation range of the coal storage can be determined, thereby predicting the future coal demand. Then, the initial replenishment demand can be adjusted accordingly according to the price fluctuation of coal. For example, when the coal supplier's coal sales price is high, the initial replenishment demand can be adjusted and reduced appropriately to obtain the coal storage monitoring result. By considering the fluctuation range of coal storage and the regional price fluctuation characteristic coefficient, the replenishment demand can be determined more accurately, and a better match of coal supply and demand can be achieved, reducing inventory backlogs or shortages, and improving the efficiency of the supply chain.

[0048] Optionally, when the coal storage monitoring results include a call priority link, the coal storage monitoring results are generated based on the coal storage threshold fluctuation range, the environmental coefficient and the regional fluctuation characteristic coefficient, including: generating multiple coal call paths based on the location information of multiple location areas in the coal storage warehouse; generating a call priority link based on multiple coal call paths, the coal storage threshold fluctuation range and the environmental coefficient.

[0049] In an optional embodiment, the location information of each location area in the coal storage warehouse can be collected, including the coal storage volume, storage location, storage method, etc.; according to the structure and scale of the coal storage warehouse, multiple possible coal call paths are determined, considering the time, distance, cost and other factors of coal call; the call paths between each location area are optimized by using the path planning algorithm. Then, the priority of each path can be determined according to the characteristics of each coal call path and the fluctuation range of the coal storage volume threshold; the priority of the coal call path, the fluctuation range of the storage volume threshold and the environmental coefficient can be comprehensively considered to generate a call priority link. For example, it can be considered to give priority to the use of coal that has begun to weather slightly or oxidize and reduce due to environmental influences, so as to avoid the situation where the coal has not been called for a long time and has become severely weathered or oxidized and reduced. Through the above steps, the call efficiency of the coal storage warehouse can be improved, and the time and cost of coal call can be reduced; the coal call path can be optimized, the fluctuation of the coal storage volume can be reduced, and the coal storage efficiency can be improved.

[0050] The technical solution proposed in the present application is described below in conjunction with an optional embodiment. The present application relates to the technical field of coal storage management, specifically a data anomaly perception system and method for coal storage.

[0051] The present application provides the following technical solutions: a data anomaly perception method for coal storage, the method comprising the following steps: scanning a coal storage warehouse by a three-dimensional scanner to obtain coal storage information in the coal storage warehouse and constructing a coal storage space model; obtaining historical storage information of coal in the coal storage warehouse, and dividing the obtained historical storage information of coal into different storage information segments according to a preset interval length; calculating a threshold fluctuation interval of coal storage volume in the coal storage warehouse at the current time based on the obtained storage information segments; obtaining an environmental interference coefficient and an environmental intervention coefficient in each location area according to the coal storage information of each location area in the coal storage space model and the coal storage time of the corresponding location area; and calculating an environmental interference coefficient and an environmental intervention coefficient in each location area based on the coal storage information of each location area in the coal storage space model. The coal storage status information of the coal storage warehouse at the current time is generated based on the environmental interference coefficient of the domain, the actual coal storage information of the coal storage warehouse at the current time, and the coal storage threshold fluctuation range; the coal call demand value of each location area is obtained based on the environmental intervention coefficient of each location area obtained in the coal storage space model and the coal inventory of the corresponding location area; and the call priority link of each location area in the coal storage space model at the current time is generated according to the interference relationship between each location area obtained in the coal storage space model; the coal storage status information of the coal storage warehouse at the current time and the call priority link of each location area in the coal storage space model at the current time are summarized to generate coal storage data perception information, and the information is fed back to the administrator of the coal storage warehouse.

[0052] Furthermore, the coal storage information includes the total coal storage volume, the distribution area of ​​the stored coal, the coal storage volume of each distribution area, and the color of the coal corresponding to each position point in each coal distribution area. The color change of the coal is affected by the degree of redox reaction between the moisture in the environment and the coal; the coal storage information also includes a regional fluctuation characteristic coefficient; the storage information corresponding to each time point in the storage information segment is different, and the regional fluctuation characteristic coefficient represents the fluctuation of the coal price within the first unit time T recently, and the regional fluctuation characteristic coefficient corresponding to the current time is recorded as BD;

[0053] When Dmax-Dmin=0, BD=0;

[0054] When Dmax-Dmin≠0, this

[0055] Among them, Dmax represents the maximum value of the coal supplier's quotation within the most recent first unit time T; Dmin represents the minimum value of the coal supplier's quotation within the most recent first unit time T; t1 represents the start time within the most recent first unit time T; Gt represents the coal supplier's quotation at time t within the most recent first unit time T; each location area in the coal storage space model is preset in the database; the storage status information includes status reminders and replenishment demand, and when the replenishment demand is less than or equal to 0, the corresponding status reminder is judged to be in a normal state, otherwise, the corresponding status reminder is judged to be in an abnormal state.

[0056] The status reminder and the replenishment demand in the storage status information of this application may be interrelated. The replenishment demand can be used to accurately determine the status reminder and provide accurate feedback on the replenishment behavior of the corresponding enterprise storing coal.

[0057] In this embodiment, one year is used as the preset interval length, and the historical storage information of coal in the coal storage warehouse includes three years and three months. If the minimum value of the corresponding time in the historical storage information is qw, and the length of one year is recorded as year, the divided storage information segments include four. The time interval corresponding to the first divided storage information segment is [qw, qw+year); the time interval corresponding to the second divided storage information segment is [qw+year, qw+2·year); the time interval corresponding to the third divided storage information segment is [qw+2·year, qw+3·year); the time interval corresponding to the fourth divided storage information segment is [qw+3·year, qw+3.25·year].

[0058] The present application can number different storage information fragments, and record the i-th storage information fragment as Bi; when calculating the coal storage threshold fluctuation interval of the coal storage warehouse at the current time, obtain the interval between the current time and the starting time point in the corresponding storage information fragment, and record it as TD; and extract the coal storage amount when the interval between each storage information fragment and the corresponding starting time point is TD, and summarize the extracted coal storage amounts into a blank set to obtain a first storage amount reference set; record the interval composed of the minimum value to the maximum value in the first storage amount reference set as the coal storage amount threshold fluctuation interval of the coal storage warehouse at the current time.

[0059] The present application can obtain the coal storage information of each location area in the coal storage space model and the coal storage duration of the corresponding location area; obtain the environmental interference coefficient of each location area, and record the environmental interference coefficient corresponding to the jth location area as Rj,

[0060]

[0061] Wherein, β represents the weathering degree conversion coefficient and β is a constant preset in the database; Mj represents the total number of pixels of the scanned image corresponding to the jth position area in the coal storage space model; A represents the gray value of the corresponding color of the Nth pixel in the scanned image corresponding to the jth position area in the coal storage space model corresponding to the previous k acquisition data based on the current time, and k is a constant preset in the database; N Indicates the reference gray value of the corresponding color of the Nth pixel in the scanned image corresponding to the jth position area in the coal storage space model corresponding to the current time; AD N It represents the gray value of the corresponding color of the Nth pixel in the scanned image corresponding to the jth position area in the coal storage space model corresponding to the current time.

[0062] Then, the environmental intervention coefficient of each location area can be obtained. The environmental intervention coefficient corresponding to the j-th location area is recorded as RHj. The value of RHj is equal to the average value of the environmental intervention node characteristic values ​​corresponding to each time in the historical data. The environmental intervention node characteristic value is equal to the quotient of the environmental interference coefficient corresponding to the corresponding location area and the storage time when the corresponding environmental interference coefficient is obtained.

[0063] This application introduces the two parameters of environmental interference coefficient and environmental intervention coefficient, which takes into account that coal in different location areas in the coal storage space model is affected by redox reactions to different degrees during the corresponding storage period. At the same time, these two parameters provide data reference for generating coal storage status information of the coal storage warehouse at the current time in subsequent steps, and also provide data support for generating call priority links for each location area in the coal storage space model at the current time in subsequent steps.

[0064] This application can obtain the environmental interference coefficient of each location area obtained in the coal storage space model, the actual coal storage information of the coal storage warehouse at the current time, and the threshold fluctuation range of the coal storage volume; obtain the replenishment demand of the coal storage warehouse at the current time, recorded as Q,

[0065]

[0066] Among them, CLj represents the coal storage capacity distributed in the jth location area in the coal storage space model at the current time; BD represents the regional fluctuation characteristic coefficient corresponding to the current time; j1 represents the number of coal location areas in the coal storage space model at the current time; P1 represents the minimum value in the coal storage threshold fluctuation interval of the coal storage warehouse at the current time; P2 represents the median value of the coal storage threshold fluctuation interval of the coal storage warehouse at the current time; F() represents the linear fitting function between the interval length of the coal storage threshold fluctuation interval in the historical data and the regional fluctuation coefficient corresponding to the corresponding time point; F(BD) represents the function value corresponding to the regional fluctuation coefficient in F() when it is BD; Combined with the obtained Q value, the coal storage status information of the coal storage warehouse at the current time is generated.

[0067] When the application obtains the coal call demand value of each location area, the coal call demand value of the jth location area obtained in the coal storage space model is recorded as Yj, which can be expressed as:

[0068] Yj=RHj·CLj;

[0069] Among them, RHj represents the environmental intervention coefficient of the j-th location area obtained in the coal storage space model; CLj represents the coal stock of the j-th location area obtained in the coal storage space model.

[0070] The method for generating a call priority link for each location area in the coal storage space model at the current time includes the following steps: obtaining each location area in the coal storage space model, generating each call link scheme in the coal storage space model, each call link scheme includes all location area numbers in the coal storage space model, and each location area number appears only once; in each call link scheme, obtaining the call interference impact value corresponding to the ath call link scheme, denoted as GRa, which can be expressed as:

[0071]

[0072] Among them, PH represents the average speed of calling coal in the coal storage warehouse within the second unit time before the current time; RH x R represents the environmental intervention coefficient corresponding to the xth location area when going to the jth location area in the coal storage space model in the ath call link scheme; (j,x) Represents the environmental intervention coefficient RH in the coal storage warehouse model x The distance between the center point of the corresponding location area and the center point of the location area corresponding to the environmental intervention coefficient RHj. This application selects the call link scheme with the smallest corresponding call interference impact value as the call priority link of each location area in the coal storage space model at the current time.

[0073] The present application also proposes a data anomaly perception system for coal storage, the system comprising: a storage model construction module, the storage model construction module scans the coal storage warehouse through a three-dimensional scanner, obtains the coal storage information in the coal storage warehouse, and constructs a coal storage space model; a fluctuation interval analysis module, the fluctuation interval analysis module obtains the historical storage information of the coal in the coal storage warehouse, and divides the obtained historical storage information of the coal into different storage information segments according to a preset interval length; based on the obtained storage information segments, calculates the coal storage threshold fluctuation interval of the coal storage warehouse at the current time; an environmental impact analysis module, the environmental impact analysis module obtains the environmental interference coefficient and the environmental intervention coefficient in each location area according to the coal storage information of each location area in the coal storage space model and the coal storage time of the corresponding location area; a storage state generation management module, the storage state generation management module is based on the coal storage The environmental interference coefficient of each location area obtained in the spatial model, the actual coal storage information of the coal storage warehouse at the current time and the coal storage threshold fluctuation range are used to generate the coal storage status information of the coal storage warehouse at the current time; the priority link analysis module is called, and the priority link analysis module is called based on the environmental intervention coefficient of each location area obtained in the coal storage space model and the coal inventory of the corresponding location area to obtain the coal call demand value of each location area; and according to the interference relationship between each location area obtained in the coal storage space model, the call priority link of each location area in the coal storage space model at the current time is generated; the data perception feedback module, the data perception feedback module summarizes the coal storage status information of the coal storage warehouse at the current time and the call priority link of each location area in the coal storage space model at the current time, generates coal storage data perception information, and feeds it back to the administrator of the coal storage warehouse.

[0074] The call priority link analysis module in the present application includes a call demand analysis unit and a call link analysis unit. The call demand analysis unit obtains the coal call demand value of each location area based on the environmental intervention coefficient of each location area obtained in the coal storage space model and the coal inventory of the corresponding location area; the call link analysis unit generates a call priority link for each location area in the coal storage space model at the current time according to the interference relationship between each location area obtained in the coal storage space model.

[0075] In the process of real-time feedback on the changing trend of coal storage data, this application not only takes into account the impact of market fluctuations on the company's coal storage volume, but also takes into account the impact of differences in coal storage environments on the severity of the oxidation-reduction conditions of the stored coal. This makes this application's management and control of stored coal clearer and more definite, and provides accurate recommendations and feedback on the subsequent company's replenishment of stored coal and its call priority, thereby achieving effective perception of the company's coal storage data.

[0076] Figure 2 is a schematic diagram of an optional coal storage monitoring method according to an embodiment of the present invention, such as Figure 2 As shown, Figure 2 As shown, the monitoring process of coal storage may include scanning the coal storage warehouse through a three-dimensional scanner, obtaining the coal storage information in the coal storage warehouse, and constructing a coal storage space model. Obtain the historical storage information of the coal in the coal storage warehouse, and divide the obtained historical storage information of the coal into different storage information segments according to the preset interval length; based on the obtained storage information segments, calculate the threshold fluctuation interval of the coal storage volume of the coal storage warehouse at the current time. According to the coal storage information of each location area in the coal storage space model and the coal storage duration in the corresponding location area, obtain the environmental interference coefficient and environmental intervention coefficient in each location area. Based on the environmental interference coefficient of each location area obtained in the coal storage space model, the actual coal storage information of the coal storage warehouse at the current time, and the threshold fluctuation interval of the coal storage volume, generate the coal storage status information of the coal storage warehouse at the current time. Based on the environmental intervention coefficient of each location area obtained in the coal storage space model and the coal inventory of the corresponding location area, obtain the coal call demand value of each location area. According to the interference relationship between each location area obtained in the coal storage space model, generate the call priority link of each location area in the coal storage space model at the current time. The coal storage status information of the coal storage warehouse at the current time and the call priority links of each location area in the coal storage space model at the current time are summarized to generate coal storage data perception information and feed it back to the administrator of the coal storage warehouse.

[0077] Figure 3is a schematic diagram of an optional coal storage monitoring system according to an embodiment of the present invention, such as Figure 3 As shown, the data anomaly perception system for coal storage includes a storage model building module, a fluctuation range analysis module, an environmental impact analysis module, a storage state generation management module, a call priority link analysis module and a data perception feedback module, wherein the call priority link analysis module includes a call demand analysis unit and a call link analysis unit.

[0078] According to another aspect of an embodiment of the present invention, a coal storage monitoring device is also provided, which can execute the coal storage monitoring method of the above embodiment. The specific implementation method and preferred application scenario are the same as the above embodiment and will not be repeated here.

[0079] Figure 4 is a schematic diagram of a coal storage monitoring device according to an embodiment of the present application, such as Figure 4 As shown, the device includes the following: a scanning module 402 , a dividing module 404 , an acquiring module 406 and a generating module 408 .

[0080] Among them, a scanning module is used to scan the coal storage warehouse storing coal to obtain a coal storage space model; a division module is used to divide the coal storage space model into regions to obtain multiple location areas; an acquisition module is used to obtain the coal storage threshold fluctuation range, environmental coefficient and regional fluctuation characteristic coefficient corresponding to the multiple location areas, wherein the coal storage threshold fluctuation range is used to characterize the changing trend of the remaining amount of coal in the coal storage warehouse, the environmental coefficient is used to characterize the degree of change of the coal stored in the coal storage warehouse affected by the environment, and the regional fluctuation characteristic coefficient is used to characterize the fluctuation of coal prices; a generation module is used to generate coal storage monitoring results based on the coal storage threshold fluctuation range, environmental coefficient and regional fluctuation characteristic coefficient, wherein the coal storage monitoring results include at least one of the following: replenishment demand and call priority link, wherein the replenishment demand is used to characterize the obtained amount of coal replenishment for multiple location areas, and the call priority link is used to characterize the obtained coal call priority for multiple location areas.

[0081] Among them, the acquisition module is also used to obtain the historical storage information of coal in the coal storage warehouse, wherein the historical storage information at least includes the coal storage volume in multiple historical time intervals; based on the historical storage information, the remaining amount change trend of coal corresponding to multiple location areas is predicted to obtain the coal storage volume threshold fluctuation range.

[0082] Among them, the acquisition module is also used to obtain the coal storage time corresponding to multiple location areas and the coal color information in the coal scanning image; based on the coal storage time and the coal color information, the environmental coefficient is determined.

[0083] Among them, the acquisition module is also used to obtain a set of coal sales quotations from coal suppliers in different time intervals; and determine the regional fluctuation characteristic coefficient based on the coal sales quotation set.

[0084] Among them, when the coal storage monitoring results include replenishment demand, the generation module is also used to predict the coal demand for multiple location areas at a preset future time point based on the coal storage threshold fluctuation range to obtain the initial replenishment demand; the initial replenishment demand is adjusted based on the regional fluctuation characteristic coefficient to obtain the coal storage monitoring results.

[0085] Among them, when the coal storage monitoring results include a call priority link, the generation module is also used to generate multiple coal call paths based on the location information of multiple location areas in the coal storage warehouse; and generate a call priority link based on multiple coal call paths, coal storage threshold fluctuation range and environmental coefficient.

[0086] An embodiment of the present application further provides an electronic device, comprising: a memory storing an executable program; and a processor for running the program, wherein the program executes the methods in various embodiments of the present invention when running.

[0087] The above-mentioned memory may refer to a device inside a computer for storing data and programs, and may include memory, hard disk, etc., wherein the memory may be used to temporarily store running programs and data, the hard disk may be used to store programs and data for a long time, and the memory may be used to enable the computer to read and write data, and execute programs; the above-mentioned processor may be responsible for executing instructions in computer programs and performing data processing, and may be responsible for controlling and executing various operations, including arithmetic operations, logical operations, data transmission, etc.

[0088] An embodiment of the present application further provides a computer-readable storage medium, which includes a stored executable program, wherein when the executable program is running, the device where the computer-readable storage medium is located is controlled to execute the methods in various embodiments of the present invention.

[0089] The above-mentioned computer storage medium may refer to a medium in a computer memory used to store certain discontinuous physical quantities. Computer storage media mainly include semiconductors, magnetic cores, magnetic drums, magnetic tapes, laser disks, etc.; the stored program included in the computer-readable storage medium may be a set of instructions that can be recognized and executed by a computer, running on an electronic computer, and is an information tool that meets certain needs of people.

[0090] An embodiment of the present application further provides a computer program product, including a computer program, which implements the methods in various embodiments of the present invention when executed by a processor.

[0091] The above-mentioned computer program product may refer to a software program that has been written, tested and released and can be run on a computer or other device. The computer program product may include an application, an operating system, tool software, etc., which is used to implement specific functions or solve specific problems.

[0092] An embodiment of the present application further provides a computer program product, including a non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium is used to store a computer program, and when the computer program is executed by a processor, the method in each embodiment of the present invention is implemented.

[0093] The above-mentioned non-volatile computer-readable storage medium may refer to a medium for storing data. The non-volatile computer-readable storage medium can keep the data from being lost when the power is off, and can be used to store long-term data, such as operating systems, applications, and user files. The non-volatile storage medium may include hard disk drives, solid-state drives, optical disks, and flash memory storage devices, etc.

[0094] The embodiments of the present application further provide a computer program, which implements the methods in the above-mentioned embodiments of the present invention when executed by a processor.

[0095] The above-mentioned computer program may refer to a collection of instructions used to tell a computer to perform a specific task or operation. A computer program may be written by a programmer using a specific programming language and may include algorithms, data structures, logic, and control flows. A computer program may be used for a variety of purposes, including application software, operating systems, and the like.

[0096] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0097] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0098] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0099] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0100] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0101] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for monitoring coal storage, characterized in that: include: Scan the coal storage warehouse where coal is stored to obtain a coal storage space model; Dividing the coal storage space model into regions to obtain a plurality of location regions; Obtaining the coal storage threshold fluctuation interval, environmental coefficient and regional fluctuation characteristic coefficient corresponding to the multiple location areas, wherein the coal storage threshold fluctuation interval is used to characterize the change trend of the remaining amount of coal in the coal storage warehouse, the environmental coefficient is used to characterize the degree of change of the coal stored in the coal storage warehouse affected by the environment, and the regional fluctuation characteristic coefficient is used to characterize the fluctuation of coal prices; Based on the coal storage threshold fluctuation range, the environmental coefficient and the regional fluctuation characteristic coefficient, a coal storage monitoring result is generated, wherein the coal storage monitoring result includes at least one of the following: a replenishment demand and a call priority link, wherein the replenishment demand is used to characterize the obtained quantity of coal replenishment for the multiple location areas, and the call priority link is used to characterize the obtained coal call priority for the multiple location areas.

2. The method for monitoring coal storage according to claim 1, characterized in that: Obtaining the coal storage threshold fluctuation ranges corresponding to the multiple location areas, including: Acquire historical storage information of coal in the coal storage warehouse, wherein the historical storage information at least includes coal storage amounts at multiple historical time intervals; Based on the historical storage information, the variation trend of the remaining amount of coal corresponding to the multiple location areas is predicted to obtain the fluctuation range of the threshold value of the coal storage amount.

3. The method for monitoring coal storage according to claim 1, characterized in that: Obtaining environmental coefficients corresponding to the multiple location areas includes: Obtaining coal storage durations corresponding to the multiple location areas and coal color information in the coal scanning image; The environmental coefficient is determined based on the coal storage time and the coal color information.

4. The method for monitoring coal storage according to claim 1, characterized in that: Obtaining regional fluctuation characteristic coefficients corresponding to the multiple location areas includes: Obtain coal sales quotation sets from coal suppliers in different time intervals; The regional fluctuation characteristic coefficient is determined based on the coal sales quotation set.

5. The method for monitoring coal storage according to claim 1, characterized in that: In the case where the coal storage monitoring result includes the replenishment demand, the coal storage monitoring result is generated based on the coal storage threshold fluctuation range, the environmental coefficient and the regional fluctuation characteristic coefficient, including: Based on the fluctuation range of the coal storage threshold, the coal demand of the plurality of location areas at a preset future time point is predicted to obtain an initial replenishment demand; The initial replenishment demand is adjusted based on the regional fluctuation characteristic coefficient to obtain the coal storage monitoring result.

6. The method for monitoring coal storage according to claim 1, characterized in that: In the case where the coal storage monitoring result includes the call priority link, the coal storage monitoring result is generated based on the coal storage threshold fluctuation interval, the environmental coefficient and the regional fluctuation characteristic coefficient, including: generating a plurality of coal calling paths based on the location information of the plurality of location areas in the coal storage warehouse; The call priority link is generated based on the multiple coal call paths, the coal storage threshold fluctuation interval and the environmental coefficient.

7. A coal storage monitoring device, characterized in that: include: A scanning module is used to scan the coal storage warehouse storing coal to obtain a coal storage space model; A division module, used for dividing the coal storage space model into regions to obtain multiple location regions; an acquisition module, used to acquire the coal storage threshold fluctuation interval, environmental coefficient and regional fluctuation characteristic coefficient corresponding to the multiple location areas, wherein the coal storage threshold fluctuation interval is used to characterize the change trend of the remaining amount of coal in the coal storage warehouse, the environmental coefficient is used to characterize the degree of change of the coal stored in the coal storage warehouse affected by the environment, and the regional fluctuation characteristic coefficient is used to characterize the fluctuation of coal prices; A generation module is used to generate coal storage monitoring results based on the coal storage threshold fluctuation range, the environmental coefficient and the regional fluctuation characteristic coefficient, wherein the coal storage monitoring results include at least one of the following: a replenishment demand and a call priority link, wherein the replenishment demand is used to characterize the obtained quantity of coal replenishment for the multiple location areas, and the call priority link is used to characterize the obtained coal call priority for the multiple location areas.

8. An electronic device, characterized in that: include: A memory storing an executable program; A processor is used to run the program, wherein the program, when running, executes the coal storage monitoring method described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored executable program, wherein when the executable program is run, the device where the storage medium is located is controlled to execute the coal storage monitoring method according to any one of claims 1 to 6.

10. A computer program product, characterized in that It comprises a computer program, which, when executed by a processor, implements the coal storage monitoring method according to any one of claims 1 to 6.

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