DCS-based Grinding Mill Electricity Cost Analysis System

Abstract

The present invention relates to the field of power data analysis systems, and particularly to a mill power cost analysis system based on DCS, which includes a data acquisition module for real-time acquisition of mill power cost characteristic data, where the mill power cost characteristic data includes meter power characteristic data and power consumption data; a data transmission module for transmitting the mill power cost characteristic data to corresponding processing nodes, including a number of transmission nodes; a DCS power cost calculation module for determining a power cost pricing mode according to the mill power cost characteristic data; a database for storing the mill power cost characteristic data; and a control module for determining a memory release method according to the comparison result between the operating memory capacity used for data type conversion, the log data volume generated by data type conversion, and the storage capacity occupied by the currently to-be-converted fields, or for adjusting the number of transmission nodes according to the proportion of abnormal data volume in the data sent by the transmission nodes. The present invention realizes the improvement of the stable operation of the cost analysis system.

Description

Technical Field

[0001] The present invention relates to the field of power data analysis systems, and in particular to a grinding mill electricity cost analysis system based on DCS. Background Art

[0002] At present, the electricity cost accounting system mainly reads the relevant parameters of the electric meter through intelligent distributed electric meters and collects them into the ERP system for data collection. Then, the data is stored in the database, and the data is collected and compared at fixed points according to time periods such as days, months, and years, so as to verify the basic electricity production cost. However, different production processes result in inconsistent data collection by different systems. It is necessary to customize the relevant data collection methods according to the process, and at the same time, it is necessary to verify whether the original equipment supports the relevant communication protocols. This characteristic makes it impossible for the existing electricity cost accounting system to be popularized in all relevant industries. The main purpose of this time is to solve the electricity cost accounting in the grinding system, so as to analyze the production cost and help the enterprise make reasonable business decisions.

[0003] Chinese Patent Publication No.: CN116562507A discloses a method and system for analyzing electricity bills, which consists of an acquisition module, a calculation module, a processor, and a memory. The feature is that in the electricity bill analysis method provided by the present invention, first, basic information such as monthly electricity bill information, the maximum demand of the enterprise in the current month, the electricity price information in the region where the enterprise is located, and the peak and valley electricity consumption periods are obtained. Then, according to the obtained basic information, the predicted values of the savings in basic electricity costs, the predicted values of the savings in power factor adjustment electricity costs, and the predicted values of the savings in kilowatt-hour electricity costs are calculated respectively from three aspects: the space where the basic electricity cost can be saved, the space where the power factor adjustment electricity cost can be saved, and the space where the kilowatt-hour electricity cost can be saved. Finally, an analysis report is generated to summarize the savings in costs. It can be seen that the electricity bill analysis method and system have the problem of unstable system operation. Summary of the Invention

[0004] Therefore, the present invention provides a grinding mill electricity cost analysis system based on DCS to overcome the problem of unstable cost analysis systems in the prior art.

[0005] To achieve the above object, the present invention provides a grinding mill electricity cost analysis system based on DCS, including:

[0006] A data acquisition module for real-time acquisition of grinding mill electricity cost characteristic data, where the grinding mill electricity cost characteristic data includes electric meter power characteristic data and electricity quantity data;

[0007] A data transmission module connected to the data acquisition module for transmitting the grinding mill electricity cost characteristic data to corresponding processing nodes, including several transmission nodes;

[0008] The DCS electricity cost calculation module is connected to the data transmission module and is used to determine the electricity cost pricing mode according to the electricity cost characteristic data of the mill, and calculate the electricity cost according to the electricity cost pricing mode;

[0009] The database is respectively connected to the data acquisition module and the DCS electricity cost calculation module and is used to store the electricity cost characteristic data of the mill;

[0010] The control module is respectively connected to the data acquisition module, the data transmission module, the DCS electricity cost calculation module and the database. When it is determined that the cost analysis stability does not meet the requirements according to the proportion of the number of differences in the electricity cost calculation results of several identical input data, it determines the memory release method according to the comparison result of the operating memory capacity used for data type conversion, the amount of log data generated by data type conversion and the storage capacity occupied by the current field to be converted, or adjusts the number of transmission nodes according to the proportion of the abnormal data volume of the data sent by the transmission node;

[0011] Among them, the memory release method includes adjusting the byte amount of the data type of the stored field or adjusting the proportion of the stored data volume of data compression.

[0012] Further, the data acquisition module includes:

[0013] The Modbus hub is used to collect the electricity meter power characteristic data in real time. The electricity meter power characteristic data includes the instantaneous active power, instantaneous reactive power, cumulative active power and cumulative reactive power of the electricity meter;

[0014] The PLC is connected to the Modbus hub and obtains the electricity quantity data by polling the Modbus hub.

[0015] Further, the control module is connected to the DCS electricity cost calculation module and is used to obtain the electricity cost characteristic data of the mill and determine whether the cost analysis stability meets the requirements according to the proportion of the number of differences in the electricity cost calculation results of several identical input data;

[0016] Among them, if the proportion of the number of differences in the electricity cost calculation results of several identical input data is greater than the preset first difference proportion, the control module determines that the cost analysis stability does not meet the requirements; if the proportion of the number of differences in the electricity cost calculation results of several identical input data is less than or equal to the preset first difference proportion, the control module determines that the cost analysis stability meets the requirements.

[0017] Further, the proportion of the number of differences in the electricity bill calculation results of the same input data multiple times is the ratio of the number of times of different electricity bill calculation results output after inputting the same mill electricity bill characteristic data multiple times into the DCS electricity bill calculation module to the total number of inputs.

[0018] Further, the control module is connected to the database and is used to determine the memory release method according to the comparison result of the operating memory capacity used for data type conversion, the amount of log data generated by data type conversion, and the storage capacity occupied by the current field to be converted when the proportion of the number of differences in the electricity bill calculation results of the same input data multiple times is greater than the preset second proportion of the number of differences, where

[0019] If the sum of the operating memory capacity used for data type conversion and the amount of log data generated by data type conversion is less than the storage capacity occupied by the current field to be converted, the control module determines to perform data type conversion and reduces the byte amount of the data type of the stored field;

[0020] If the sum of the operating memory capacity used for type conversion and the amount of log data generated by data type conversion is greater than or equal to the storage capacity occupied by the current field to be converted, the control module determines not to perform data type conversion and increases the proportion of the stored data volume after data compression.

[0021] Further, the reduced byte amount of the stored data type is determined by the difference between the proportion of the number of differences in the electricity bill calculation results of the same input data multiple times and the preset second proportion of the number of differences.

[0022] Further, the increased proportion of the stored data volume after data compression is determined by the difference between the proportion of the number of differences in the electricity bill calculation results of the same input data multiple times and the preset second proportion of the number of differences.

[0023] Further, the control module is connected to the data transmission module and is used to adjust the number of transmission nodes according to the proportion of the amount of data with anomalies occurring in the data transmitted by the transmission nodes, where

[0024] If the proportion of the amount of data with anomalies occurring in the data transmitted by the transmission node is greater than the preset first proportion of the number of differences and less than or equal to the preset second proportion of the number of differences, the control module preliminarily determines that the network security risk does not meet the requirements, and calculates the proportion of the amount of data with anomalies occurring in the data transmitted by the transmission node to perform a secondary determination of the network security risk;

[0025] Among them, if the proportion of the amount of data with anomalies occurring in the data transmitted by the transmission node is greater than the preset proportion of the amount of data, the control module makes a secondary determination that the network security risk does not meet the requirements and reduces the number of transmission nodes of the data transmission module.

[0026] Further, the proportion of the abnormal data volume in the data sent by the transmission node is the ratio of the abnormal data in the data sent by several transmission nodes to the total data volume sent by the transmission node.

[0027] Further, the number of reduced transmission nodes is determined by the difference between the proportion of the abnormal data volume in the data sent by the transmission node and the preset data volume proportion.

[0028] Compared with the prior art, the beneficial effects of the present invention are as follows. The system of the present invention is provided with a data acquisition module, a data transmission module, a DCS electricity fee calculation module, a database, and a control module. After the data acquisition module completes the acquisition of the electricity fee characteristic data of the mill, by setting a data transmission module connected to the data acquisition module, accurate transmission of the electricity fee characteristic data of the mill is realized; by setting it to be connected to the database, when the DCS electricity fee calculation module processes data, the problem of chaotic data storage during the data processing process of the DCS electricity fee calculation module is overcome, and partitioned and classified storage of the electricity fee characteristic data of the mill is realized; by setting a control module, when the electricity fee analysis system of the mill calculates data, the situation of different data in the analysis results of the analysis system is overcome, and real-time monitoring of data dynamics is realized.

[0029] Further, the system of the present invention overcomes the problem of low efficiency in collecting the electricity meter power characteristic data by setting a data acquisition system composed of a Modbus hub and a PLC, and realizes high-efficiency polling acquisition of the electricity meter power characteristic data during the process of the data acquisition system collecting the electricity meter power characteristic data in real time.

[0030] Further, the system of the present invention overcomes the problem of using the same data processing method for equipment with different production processes when the DCS judges and processes the electricity meter power characteristic data by setting a DCS electricity fee calculation module, realizes targeted analysis of the electricity fee data at different times, and improves the accuracy of the electricity fee analysis system of the mill.

[0031] Further, the system of the present invention overcomes the problem of the decline in data processing ability caused by the accumulation of a large amount of data when the DCS judges and processes the electricity meter power characteristic data by setting a control module, and realizes the stability of adjusting the analysis results of the electricity fee cost of the mill according to different situations.

[0032] Further, the system of the present invention overcomes the problem of abnormal data in the data sent by the transmission node caused by network security risks during the data transmission of the electricity fee analysis system of the mill by adjusting the number of transmission nodes, and improves the accuracy of the data processing ability of the electricity fee cost system of the mill. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 The overall structural block diagram of the mill electricity cost analysis system based on DCS according to an embodiment of the present invention;

[0034] Figure 2 This is a structural block diagram of a data acquisition module of a DCS-based mill electricity cost analysis system according to an embodiment of the present invention;

[0035] Figure 3 A block diagram of the connection structure of the data acquisition module and the control module of the DCS-based mill electricity cost analysis system according to an embodiment of the present invention;

[0036] Figure 4 This is a connection structure block diagram of a data acquisition module of a DCS-based mill electricity cost analysis system according to an embodiment of the present invention, which is respectively connected to a data transmission module and a control module. DETAILED DESCRIPTION

[0037] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0038] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0039] It will be understood by those skilled in the art that, unless expressly stated, the singular forms "a", "an" and "the" used herein may also include the plural forms. It should be further understood that the term "comprising" used in this specification refers to the presence of features, integers, steps, operations, elements / components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements / components. It should be understood that when we refer to a module as being "connected" or "coupled" to another module, it may be directly connected or coupled to the other module, or there may be an intermediate unit. In addition, "connected" or "coupled" used herein may include wireless connection or wireless coupling.

[0040] See also Figure 1 , Figure 2 , Figure 3 as well as Figure 4 As shown, they are respectively an overall structural block diagram of a mill electricity cost analysis system based on DCS according to an embodiment of the present invention, a structural block diagram of a data acquisition module, a connection structural block diagram of a data acquisition module connected to a control module, and a connection structural block diagram of a data acquisition module connected to a data transmission module and a control module respectively. The mill electricity cost analysis system based on DCS according to the present invention comprises:

[0041] A data acquisition module for real-time acquisition of the power consumption feature data of the mill, where the power consumption feature data of the mill includes the power meter power feature data and the power consumption data;

[0042] A data transmission module, connected to the data acquisition module, for transmitting the power consumption feature data of the mill to the corresponding processing nodes, including several transmission nodes;

[0043] A DCS power consumption calculation module, connected to the data transmission module, for determining the power consumption pricing mode according to the power consumption feature data of the mill, and calculating the power consumption according to the power consumption pricing mode;

[0044] A database, respectively connected to the data acquisition module and the DCS power consumption calculation module, for storing the power consumption feature data of the mill;

[0045] A control module, respectively connected to the data acquisition module, the data transmission module, the DCS power consumption calculation module and the database, for determining the memory release method according to the comparison result of the operating memory capacity used for data type conversion and the amount of log data generated by data type conversion and the storage capacity occupied by the current field to be converted when it is determined that the cost analysis stability does not meet the requirements according to the proportion of the number of differences in the power consumption calculation results of several identical input data, or adjusting the number of transmission nodes according to the proportion of the abnormal data volume of the data sent by the transmission nodes;

[0046] Among them, the memory release method includes adjusting the byte amount of the data type of the stored field or adjusting the proportion of the stored data volume of data compression.

[0047] In implementation, the system of the present invention realizes the accurate transmission of the power consumption feature data of the mill by setting a data acquisition module, a data transmission module, a DCS power consumption calculation module, a database and a control module. After the data acquisition module completes the acquisition of the power consumption feature data of the mill, by setting a data transmission module connected to the data acquisition module; by setting it connected to the database, when the DCS power consumption calculation module processes data, it overcomes the problem of chaotic data storage in the data processing process of the DCS power consumption calculation module, and realizes the partitioned and classified storage of the power consumption feature data of the mill; by setting a control module, when the power consumption analysis system of the mill calculates data, it overcomes the situation of differential data in the analysis result of the analysis system, and realizes the real-time monitoring of data dynamics;

[0048] Specifically, the power consumption data includes peak power consumption, peak power, flat power and valley power;

[0049] Specifically, the specific process by which the DCS mode determination module determines the electricity pricing mode based on the electricity cost characteristic data of the mill is as follows: The electricity cost calculation rule of the South China Grid is that the total electricity cost = (1 + adjustment coefficient) * [peak electricity consumption * (electric energy cost (peak) + transmission and distribution cost (peak) + line loss cost (peak)) + peak electricity consumption * (electric energy cost (peak) + transmission and distribution cost (peak) + line loss cost (peak)) + flat electricity consumption * (electric energy cost (flat) + transmission and distribution cost (flat) + line loss cost (flat)) + valley electricity consumption * (electric energy cost (valley) + transmission and distribution cost (valley) + line loss cost (valley))] + system operation cost + marketization sharing cost + unit price of fund and surcharge * total electricity consumption + billing demand * basic electricity cost;

[0050] Among them, peak, peak, flat, and valley are the four-tier rules of the South China Grid electricity cost for peak, peak, flat, and valley respectively. The peak period refers to the high-temperature weather when the highest temperature in Guangzhou reaches 35°C or above (subject to the highest temperature of the next day in Guangzhou announced in the weather forecast of the News Broadcast at 19:00 every night); the peak period refers to the time period from 10:00 to 12:00 and from 14:00 to 19:00; the valley period refers to the time period from 0:00 to 8:00; the rest of the time is the flat period;

[0051] Among them, the billing demand is the maximum active power that lasts for more than 15 minutes in the current month; the adjustment coefficient is the ratio of active power to reactive power.

[0052] Specifically, the data acquisition module includes:

[0053] A Modbus hub for real-time acquisition of the power characteristic data of the electric meter. The power characteristic data of the electric meter includes the instantaneous active power, instantaneous reactive power, cumulative active power, and cumulative reactive power of the electric meter;

[0054] A PLC, which is connected to the Modbus hub and obtains the electricity data by polling the Modbus hub;

[0055] Among them, there are 8 electric meters collected: the total electric meter, the first mill electric meter, the second mill electric meter, the air compressor incoming line electric meter, the office building electric meter, the temporary shed electric meter, the canteen electric meter, and the guard room electric meter;

[0056] Specifically, the control module is connected to the DCS electricity cost calculation module to obtain the electricity cost characteristic data of the mill, and determines whether the cost analysis stability meets the requirements according to the proportion of the number of differences in the electricity cost calculation results of several identical input data;

[0057] Among them, if the proportion of the number of differences in the electricity cost calculation results of the several identical input data is greater than the preset first difference proportion, the control module determines that the cost analysis stability does not meet the requirements; if the proportion of the number of differences in the electricity cost calculation results of the several identical input data is less than or equal to the preset first difference proportion, the control module determines that the cost analysis stability meets the requirements.

[0058] Specifically, the proportion of the number of differences in the electricity cost calculation results of the several identical input data is the ratio of the number of times of different electricity cost calculation results output after inputting several identical mill electricity cost characteristic data to the DCS electricity cost calculation module to the total number of inputs.

[0059] Optionally, the value range of the preset first difference proportion can be [1.5%, 2.5%];

[0060] Preferably, the preferred embodiment of the preset first difference proportion is 2%;

[0061] In one or more embodiments, if the proportion of the number of differences in the electricity cost calculation results of the several identical input data is 4%, which is greater than the preset first difference proportion of 2%, it is determined that the cost analysis stability does not meet the requirements.

[0062] Specifically, the control module is connected to the database and is used to determine the memory release method according to the comparison result of the running memory capacity used for data type conversion and the log data volume generated by data type conversion with the storage capacity occupied by the current field to be converted when the proportion of the number of differences in the electricity cost calculation results of the several identical input data is greater than the preset second difference proportion, where

[0063] if the sum of the running memory capacity used for data type conversion and the log data volume generated by data type conversion is less than the storage capacity occupied by the current field to be converted, the control module determines to perform data type conversion and reduces the byte amount of the data type of the stored field;

[0064] if the sum of the running memory capacity used for type conversion and the log data volume generated by data type conversion is greater than or equal to the storage capacity occupied by the current field to be converted, the control module determines not to perform data type conversion and increases the proportion of the stored data volume after data compression.

[0065] Optionally, the value range of the preset second difference proportion can be [4.5%, 5.5%];

[0066] Preferably, the preferred embodiment of the preset second difference proportion is 5%;

[0067] In one or more embodiments, if the proportion of the number of differences in the electricity charge calculation results of the several identical input data is 7%, which is greater than the preset second proportion of the number of differences of 5%, it is determined to determine the memory release method according to the comparison result of the operating memory capacity used for data type conversion, the amount of log data generated by data type conversion, and the storage capacity occupied by the current field to be converted.

[0068] Specifically, the byte amount of the stored data type after reduction is determined by the difference between the proportion of the number of differences in the electricity charge calculation results of the several identical input data and the preset second proportion of the number of differences.

[0069] Specifically, the proportion of the stored data volume of the increased data compression is determined by the difference between the proportion of the number of differences in the electricity charge calculation results of the several identical input data and the preset second proportion of the number of differences.

[0070] Specifically, the control module is connected to the data transmission module to adjust the number of transmission nodes according to the proportion of the amount of data with anomalies that occur in the data transmitted by the transmission nodes, where

[0071] if the proportion of the amount of data with anomalies in the data transmitted by the transmission node is greater than the preset first proportion of the number of differences and less than or equal to the preset second proportion of the number of differences, the control module initially determines that the network security risk does not meet the requirements, and calculates the proportion of the amount of data with anomalies in the data transmitted by the transmission node to make a secondary determination of the network security risk;

[0072] Among them, if the proportion of the amount of data with anomalies in the data transmitted by the transmission node is greater than the preset data volume proportion, the control module makes a secondary determination that the network security risk does not meet the requirements, and reduces the number of transmission nodes of the data transmission module.

[0073] Specifically, the proportion of the amount of data with anomalies in the data transmitted by the transmission node is the ratio of the abnormal data in the data transmitted by several transmission nodes to the total amount of data transmitted by the transmission nodes.

[0074] Specifically, the reduced number of transmission nodes is determined by the difference between the proportion of the amount of data with anomalies in the data transmitted by the transmission node and the preset data volume proportion.

[0075] Specifically, the abnormal data includes data with missing data volume, modified data, and data with changed data format.

[0076] Optionally, the value range of the preset proportion of the amount of data with anomalies can be [0.5%, 1.5%];

[0077] Preferably, the preferred embodiment of the preset proportion of the amount of data with anomalies is 1%;

[0078] In one or more embodiments, if the proportion of the number of differences in the electricity charge calculation results of the several identical input data is 3%, which is greater than the preset first proportion of the number of differences and less than or equal to the preset second proportion of the number of differences, the control module preliminarily determines that the network security risk does not meet the requirements;

[0079] In one or more embodiments, for each 0.8% by which the proportion of the abnormal data volume in the data sent by the transmission node exceeds the preset proportion of the abnormal data volume, the number of transmission nodes is reduced by 1;

[0080] For example, if the proportion of the abnormal data volume in the data sent by the transmission node is 2.6%, the number of transmission nodes is reduced by 2.

[0081] So far, the technical solution of the present invention has been described in conjunction with the preferred embodiments shown in the drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

Claims

1. A DCS-based mill electricity cost analysis system, characterized in that: include: A data acquisition module is used to collect the mill electricity charge characteristic data in real time, the mill electricity charge characteristic data includes the meter power characteristic data and the electricity quantity data; A data transmission module, which is connected to the data acquisition module and is used to transmit the mill electricity fee characteristic data to a corresponding processing node, including a plurality of transmission nodes; A DCS electricity fee calculation module, which is connected to the data transmission module and is used to determine an electricity fee pricing mode according to the mill electricity fee characteristic data, and calculate the electricity fee according to the electricity fee pricing mode; A database, which is connected to the data acquisition module and the DCS electricity fee calculation module respectively, and is used to store the characteristic data of the mill electricity fee; A control module, which is respectively connected to the data acquisition module, the data transmission module, the DCS electricity fee calculation module and the database, and is used to determine the memory release method according to the comparison result of the running memory capacity used for data type conversion and the amount of log data generated by the data type conversion with the storage capacity occupied by the current field to be converted, or to adjust the number of transmission nodes according to the proportion of the amount of data sent by the transmission node that is abnormal when it is determined that the stability of the cost analysis does not meet the requirements according to the proportion of the number of differences in the electricity fee calculation results of several times of the same input data; The memory release method includes adjusting the byte amount of the data type of the stored field or adjusting the proportion of the stored data amount of the data compression; The control module is connected to the DCS electricity cost calculation module to obtain the characteristic data of the mill electricity cost, and determine whether the stability of the cost analysis meets the requirements according to the proportion of the number of differences in the electricity cost calculation results of the same input data; Wherein, if the proportion of the number of differences in the electricity fee calculation results of the same input data is greater than the preset first difference proportion, the control module determines that the stability of the cost analysis does not meet the requirements; if the proportion of the number of differences in the electricity fee calculation results of the same input data is less than or equal to the preset first difference proportion, the control module determines that the stability of the cost analysis meets the requirements; The control module is connected to the database, and is used to determine the memory release method according to the comparison result of the running memory capacity used for data type conversion and the amount of log data generated by data type conversion and the storage capacity occupied by the current field to be converted when the proportion of the difference number of electricity fee calculation results of the same input data for the several times is greater than the preset second difference number proportion, wherein, If the sum of the operating memory capacity used for the data type conversion and the amount of log data generated by the data type conversion is less than the storage capacity occupied by the current field to be converted, the control module determines to perform the data type conversion and reduces the byte amount of the data type of the stored field; If the sum of the running memory capacity used for the type conversion and the amount of log data generated by the data type conversion is greater than or equal to the storage capacity occupied by the current field to be converted, the control module determines not to perform the data type conversion and increases the proportion of the storage data volume of the data compression; The control module is connected to the data transmission module and is used to adjust the number of transmission nodes according to the proportion of data volume abnormalities occurring in the transmission nodes, wherein: If the proportion of data volume in which the data sent by the transmission node is abnormal is greater than the proportion of the preset first difference times and is less than or equal to the proportion of the preset second difference times, the control module preliminarily determines that the network security risk does not meet the requirements, and obtains and calculates the proportion of data volume in which the data sent by the transmission node is abnormal to make a secondary determination of the network security risk; Among them, if the proportion of abnormal data sent by the transmission node is greater than the preset data proportion, the control module will secondly determine that the network security risk does not meet the requirements and reduce the number of transmission nodes of the data transmission module.

2. The DCS-based mill electricity cost analysis system according to claim 1 is characterized in that: The data acquisition module comprises: A Modbus hub is used to collect the power characteristic data of the electric meter in real time, wherein the power characteristic data of the electric meter includes instantaneous active power, instantaneous reactive power, accumulated active power and accumulated reactive power of the electric meter; The PLC is connected to the Modbus hub and obtains the power data by polling the Modbus hub.

3. The DCS-based mill electricity cost analysis system according to claim 1, characterized in that: The ratio of the number of differences in the electricity fee calculation results for the same input data is the ratio of the number of times different electricity fee calculation results are output after the same mill electricity fee characteristic data is input several times into the DCS electricity fee calculation module to the total number of inputs.

4. The DCS-based mill electricity cost analysis system according to claim 1, characterized in that: The reduced byte amount of the stored data type is determined by the difference between the ratio of the number of differences in the electricity fee calculation results of the same input data and a preset second ratio of the number of differences.

5. The DCS-based mill electricity cost analysis system according to claim 4 is characterized in that: The increased proportion of the amount of stored data in the data compression is determined by the difference between the proportion of the number of times of difference in electricity fee calculation results of the same input data and a preset second proportion of the number of times of difference.

6. The DCS-based mill electricity cost analysis system according to claim 1, characterized in that: The proportion of data volume in which abnormal data is sent by the transmission node is the ratio of abnormal data in data sent by a number of transmission nodes to the total amount of data sent by the transmission nodes.

7. The DCS-based mill electricity cost analysis system according to claim 6, characterized in that: The number of reduced transmission nodes is determined by the difference between the proportion of data volume in which abnormalities occur in the data sent by the transmission nodes and the preset proportion of data volume.

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