Power generation enterprise fuel purchase six-element (quantity, quality, price, supply, consumption and storage) data analysis intelligent forecasting management graph

Abstract

With the construction of a national novel power system and continuous deepening reformation of the power market, the operating pressure of thermal power enterprises is larger and larger, so that the fuel purchasing management level is improved, and the fuel purchasing cost control requirement is higher and higher; a more scientific and effective method for analyzing, researching and visually and vividly expressing key elements such as fuel purchase'quantity, quality and price ', 'supply, consumption and storage' and the like is urgently needed to be explored and established, practice is scientifically guided, enterprises are helped to reduce cost and increase benefits, and high-quality development of new kinetic energy is continuously gathered. On the basis, a'quantity, quality and price 'comparative analysis and'supply, consumption and storage' total balance histogram expression method 'for monthly fuel purchase of a thermal power enterprise is created by applying a digital thinking concept through long-term tracking research and repeated thinking and exploration on the basis of a logic association relationship among internal elements of the fuel cost of the enterprise and an internal operation mechanism. According to the method, all fuel purchase key elements are pioneered to be integrated into one graph, the method has high practical application value, and particularly, an authority, comprehensiveness and instantaneity fuel purchase comprehensive index visual expression and intelligent monitoring alarm'one graph 'expression method is provided for managers at all levels of thermal power enterprises.

Description

Technical Field

[0001] This technology is an innovative breakthrough in the research method of the logical relationship and internal operating mechanism among the internal elements of enterprise fuel costs. Background Art

[0002] With the construction of the country's new power system and the continuous deepening of power market reform, thermal power companies are facing increasing operating pressure. As a result, the requirements for improving fuel procurement management and controlling fuel procurement costs are becoming increasingly higher. It is urgent to explore and establish a more scientific and effective fuel procurement "quantity, quality, price", "supply, consumption, and storage" and other key factors analysis and research, and intuitive and vivid expression methods to scientifically guide practice, help companies reduce costs and increase efficiency, and continuously gather new momentum for high-quality development.

[0003] Based on this, after long-term tracking and research, repeated thinking and exploration, based on the logical correlation and internal operating mechanism of the internal elements of the enterprise's fuel cost, and using the concept of digital thinking, we created "A comparative analysis of the "quantity, quality and price" of the monthly fuel procurement of thermal power companies, and a bar chart expression method for the total balance of "supply, consumption and inventory" (attached picture). This method is the first to bring together all the key elements of fuel procurement in one chart, which has a high practical application value, especially providing managers at all levels of thermal power companies with an authoritative, comprehensive, and timely intuitive expression of comprehensive fuel procurement indicators and a "one-picture" expression method for intelligent monitoring and alarm. Summary of the invention

[0004] The present invention uses a combination of "graphic expression + text description" to express and explain the logical correlation and internal operating mechanism between the internal elements of the fuel cost of domestic enterprises. Specifically, using the concept of digital thinking, the "A method of comparing the "quantity, quality and price" of the monthly fuel procurement of thermal power companies and expressing the total balance of "supply, consumption and inventory" in a bar chart" (attached picture) was created. This method is the first to bring together all the key elements of fuel procurement in one chart, and has a high practical application value. In particular, it provides managers at all levels of thermal power companies with an authoritative, comprehensive, and timely intuitive expression of comprehensive fuel procurement indicators and a "one-picture" expression method for intelligent monitoring and alarm. BRIEF DESCRIPTION OF THE DRAWINGS

[0005] one, Figure 1 illustrate

[0006] Brief description: This figure shows the curve of changes in the key elements of the daily coal intake and coal consumption of the enterprise when the coal intake is greater than the coal consumption. The figure is divided into two parts. The upper part of the figure shows the difference between the average monthly coal intake and calorific value of the enterprise and the monthly plan according to the curve chart of elements such as the daily customer coal intake, coal intake calorific value, and coal intake weighted average bill. The lower part of the figure shows the daily coal consumption of the enterprise, the daily consumption change curve, and the inventory changes. In the figure, an alarm for over-limit of important indicators is set.

[0007] (I) Symbols and their meanings

[0008] G represents the total coal purchase volume for the month;

[0009] H represents the total coal consumption of the month;

[0010] P represents the weighted average bid for coal supplied by customers to the factory.

[0011] (II) The meaning of the lines, arrows and rectangular areas in each rib diagram

[0012] (with spareribs Figure 1 Take this as an example):

[0013] 1. (1) P0 Company monthly budget bid

[0014] P1 Company's monthly (actual) average bid;

[0015] (2) R0 Company monthly budget calorific value

[0016] R1 Company monthly (actual) average calorific value

[0017] 2. G O P 0 → The G9 line segment and arrow point to the average calorific value curve of coal supplied by each customer each month

[0018] 3. (1) G1P0 Monthly weighted order ranking trend line for each customer

[0019] (2) The green rectangular area at the end of the month represents the inventory at the end of the month

[0020] (III) Spareribs diagram (e.g. Figure 1 ) expresses the meaning (the amount of coal imported this month is greater than the amount of coal consumed).

[0021] one, Figure 2 illustrate

[0022] Brief description: This figure shows the curve of changes in the key elements of the daily coal intake and coal consumption of the enterprise when the coal intake is less than the coal consumption. The figure is divided into two parts. The upper part of the figure shows the difference between the average monthly coal intake and calorific value of the enterprise and the monthly plan according to the curve chart of elements such as the daily customer coal intake, coal intake calorific value, and coal intake weighted average bill. The lower part of the figure shows the daily coal consumption of the enterprise, the daily consumption change curve, and the inventory changes. In the figure, an alarm for over-limit of important indicators is set.

[0023] (I) Symbols and their meanings

[0024] G represents the total coal purchase volume for the month;

[0025] H represents the total coal consumption of the month;

[0026] P represents the weighted average bid for coal supplied by customers to the factory.

[0027] (II) The meaning of the lines, arrows and rectangular areas in each rib diagram

[0028] (with spareribs Figure 1 Take this as an example):

[0029] 1. (1) P0 Company monthly budget bid

[0030] P1 The weighted average bid of the company's actual monthly coal intake

[0031] (2) R0 Company monthly budget calorific value (unit design calorific value)

[0032] R1 The weighted average calorific value of the company's actual monthly coal intake

[0033] 2. G O P 0 → The G9 line segment and arrow point to the weighted average calorific value curve of each customer's monthly coal supply

[0034] 3. (1) G1P0 Monthly weighted order ranking trend line for each customer

[0035] (2) The green rectangular area at the end of the month represents the inventory at the end of the month

[0036] (III) Spareribs diagram (e.g. Figure 2 ) means (the amount of coal input this month is less than the amount of coal consumed)

[0037] 3. Basic characteristics of this method

[0038] 1. Concentrated characteristics. The key elements and changing characteristics of fuel procurement of all enterprises are gathered in one picture, highlighting the centralized expression characteristics.

[0039] 2. Quantitative characteristics: Through digital quantitative analysis and calculation of key data of fuel procurement management, it is accurate and precise.

[0040] 3. Logical characteristics. The upper part of the figure mainly expresses the logical relationship between the key data elements of quantity, quality and price, while the lower part of the figure mainly expresses the monthly balance of total supply, consumption and inventory.

[0041] 4. Practicality: Through quantitative analysis and comparison of relevant data, and according to the set value, over-limit alarm prompts can be issued to better guide work and take measures in advance.

[0042] 5. Intuitive features. The relationship between the key elements of fuel procurement is more intuitive and more efficient through block graphic comparison and curve change demonstration.

[0043] 4. Introduction to the main structure of this expression method

[0044] The chart is generally divided into three parts. The first is a "quantity, quality and price" bar chart based on the weighted average bid ranking of each coal supply customer; the second is a monthly "supply, consumption and inventory" total balance bar chart based on monthly coal consumption; the third is the intelligent over-limit alarm prompt function section. Specifically:

[0045] (I) A detailed introduction to the "quantity, quality and price" bar chart based on the weighted average bid ranking of each coal supply customer

[0046] 1. The horizontal axis is the amount of coal purchased by the customer; the vertical axis is the weighted average bid of each coal supply unit.

[0047] 2. The customer ranking order is based on the weighted average bid of incoming coal, and is arranged from low to high. This is because the fuel purchase bid of an enterprise is the most concerned cost factor for the enterprise. This arrangement makes it easier to quantitatively distinguish the quality of each customer's coal bid.

[0048] 3. Set up the total average expression line of the coal quantity already imported and the average standard line of the company's monthly plan. By comparing the two intuitively, you can clearly judge the standard level of the coal quantity imported this month.

[0049] 4. In each customer block diagram, a quality expression curve is marked, that is, the weighted average calorific value of each customer's coal is used as the "quality point" elevation, and this is connected into a line for intuitive comparison.

[0050] 5. The total amount of coal purchased by each customer is expressed on the horizontal axis for comparison with the coal consumption and inventory changes in the lower half of the figure.

[0051] (III) Monthly “supply, consumption, and inventory” total balance “bar chart” based on monthly coal consumption

[0052] 1. In the lower part of the figure, there is another horizontal axis, which represents the daily coal consumption of the enterprise. If it is expressed day by day and summarized, it is the total cumulative coal consumption for this month.

[0053] 2. At the same time, on the right side of the "bar chart" of the company's coal consumption, a block chart with the horizontal axis representing the changes in the company's "inventory" is listed in parallel, that is, the base value of the end-of-last month inventory, when the supply this month is greater than the consumption (or the supply is less than the consumption, expressed in another figure), a new inventory balance is formed, and the sum of the two inventories is the total inventory of the company at the end of this month (when the supply is less than the consumption, the net consumption this month should be deducted from the end-of-last month inventory, then the end-of-this month inventory becomes the small inventory block chart).

[0054] 3. In the daily consumption bar chart, the daily consumption elevation is marked and connected into a line to form a daily consumption change curve for this month, which is convenient for intuitive comparison and observation.

[0055] 4. This expression method also designs an intelligent over-limit alarm prompt function

[0056] In the upper right corner of this picture, an intelligent alarm prompt function is set for when important data on corporate fuel procurement exceeds the limit.

[0057] For example, the coal volume that has been imported in the middle of the month is immediately totaled and weighted to calculate the average bid. If it is higher than the company's planned set value, an alarm will be issued in time. Therefore, during the monthly procurement operation, the situation can be grasped in time and necessary measures can be taken, so that the company's fuel procurement work is changed from statistical analysis after the month to timely analysis in the middle of the month, which greatly improves the guidance of digital management of fuel procurement.

[0058] For example, the average calorific value of the coal received in the middle of the month is calculated in real time by total weighting. If it is higher than the value set in the company's plan, an alarm will be given in time. Therefore, during the monthly procurement operation, the situation can be grasped in time and necessary measures can be taken, so that the company's fuel procurement work is changed from statistical analysis after the month to timely analysis in the middle of the month, which greatly improves the guidance of digital management of fuel procurement.

[0059] For example, for the amount of coal purchased in the middle of the month, an alarm will be issued immediately if the inventory changes exceed the limit. The set value is the monthly planned inventory standard line, and an alarm will be issued in time if the limit is exceeded. DETAILED DESCRIPTION

[0060] 1. Calculation of the monthly standard coal unit price for each customer: Based on the amount of coal delivered to the factory, the calorific value of the acceptance, and the contract unit price, the average standard coal price of the customer delivered this month is weighted and calculated.

[0061] The data of average bids of each customer are calculated and determined, and arranged in order from low to high, that is, a block diagram of average bids of coal customers is formed. The width of the block diagram is determined by the amount of coal supplied, and the height of the block diagram is determined by the unit price of standard coal.

[0062] Based on the customer's block diagram, you can clearly and real-time understand the customer's coal purchase volume this month and the corresponding average unit price of standard coal.

[0063] From the above data, we can comprehensively calculate the weighted average bid of the entire plant corresponding to the amount of coal imported that month, which is expressed by the horizontal line in the box diagram.

[0064] In the figure, the planned bid value of the factory for the current month can also be listed, which is expressed by the second horizontal line in the box diagram.

[0065] The difference between horizontal line 1 and horizontal line 2 is the difference between the actual factory standard and the planned standard this month. Clear and real-time monitoring.

[0066] 2. Calculation of the monthly calorific value (quality) of coal delivered to the factory by each customer: Based on the amount of coal delivered to the factory by the customer and the tested calorific value, the weighted average calorific value of the coal delivered to the factory by the customer this month is calculated.

[0067] Based on the specific location of each customer's block diagram, the center line of the block diagram, and the calorific value, determine the calorific value point of the customer when he arrives at the factory.

[0068] Connecting the calorific value points of each customer will give you the calorific value curve of the plant's coal-supplying customers.

[0069] Based on this curve, we can quantitatively compare, analyze and measure the calorific value of coal supplied by each customer.

[0070] 3. Expression of coal intake, coal consumption and inventory balance for the month

[0071] The widths of the above boxes connected together represent the amount of coal imported in that month.

[0072] Every day, the plant's coal consumption is connected by the thin and long bars below (the width of each bar represents the coal consumption on that day).

[0073] The daily coal consumption is expressed by data, and the height of each point is connected into a line, which is the daily coal consumption change curve.

[0074] The box plot on the right represents the inventory at the end of the previous month.

[0075] If the supply this month is greater than the consumption, the original inventory at the end of the period will increase; conversely, if the supply this month is less than the coal consumption, the original inventory will decrease.

[0076] This chart expresses the coal intake, coal consumption, inventory at the end of the previous period, current inventory, etc. in a very intuitive, vivid and practical way.

[0077] 4. Improved prediction and early warning

[0078] (1) If the difference between the bids this month is too large, the system will automatically give an alarm. The average bid is calculated based on the factory arrival and compared with the monthly planned bid. If it exceeds the set value (based on the actual setting), the system will automatically give an alarm.

[0079] In this way, corporate fuel purchasing managers are reminded to pay attention to the unit price of standard coal entering the factory and make adjustments and coordination.

[0080] (2) If the difference in calorific value of the incoming goods is too large this month, the system will automatically give an alarm. The average calorific value calculated upon arrival at the factory is compared with the monthly calorific value. If it exceeds the set value (based on the actual setting), the system will automatically give an alarm.

[0081] In this way, corporate fuel purchasing managers are reminded to pay attention to the calorific value factors entering the factory and make adjustments and coordination.

[0082] (3) Alarm prompt for excessive inventory difference this month. Based on the current value of inventory this month, compare the set value (based on the actual setting), and if the difference exceeds the value, the system will automatically alarm.

[0083] This reminds the fuel purchasing managers of enterprises to pay attention to timely analysis of coal intake and coal consumption factors, and adjust the planned coal intake to ensure that the enterprise maintains a reasonable inventory level.

Claims

1. It is the first to integrate all the key elements of fuel procurement into one picture, which has high practical application value, especially providing managers at all levels of thermal power companies with an authoritative, comprehensive and timely "one picture" expression of comprehensive fuel procurement indicators, intuitive expression of intelligent monitoring and alarm.

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