A comprehensive cost reduction system and method for industrial energy consumption based on data analysis

Abstract

The present invention discloses a comprehensive cost reduction system and method for industrial energy consumption based on data analysis, which relates to the field of industrial energy utilization technology, including obtaining industrial energy information and industrial equipment information, obtaining industrial equipment parameter information based on the industrial equipment information, classifying the industrial energy required by the industrial equipment, and obtaining equipment energy classification information. The present invention evaluates the first energy consumption characteristic point of the equipment through the energy consumption characteristic coefficient, ensuring the accuracy and reliability of the data, classifies the industrial energy required by the industrial equipment through the equipment energy consumption synergy index, and improves the analysis efficiency of industrial energy consumption. The equipment energy consumption anomaly index is used to evaluate the equipment operating status, timely discover industrial energy anomalies, and improve energy utilization efficiency. The industrial equipment scheduling is replanned through the industrial equipment load factor and the historical total industrial energy consumption data, thereby reducing energy waste.

Description

Technical Field

[0001] The present invention relates to the technical field of industrial energy utilization, and in particular to a system and method for comprehensive industrial energy cost reduction based on data analysis. Background Art

[0002] Energy-intensive industrial production involves multiple steps. Traditional production technologies not only consume human resources but also easily lead to excessive energy consumption and waste. Reducing energy costs is a critical issue facing many countries and companies worldwide. Energy is a key factor in industrial production, especially in energy-intensive industries such as steel, fertilizers, chemicals, and electricity, where energy costs account for a significant proportion of the total cost. To enhance competitiveness, achieve sustainable development, and respond to environmental policies, reducing costs and increasing efficiency have become key strategies within the industrial sector.

[0003] At present, there are still problems in reducing industrial energy costs, such as the inability to accurately analyze the industrial energy required by industrial equipment, the inability to accurately classify industrial energy, the inability to accurately evaluate the operating status of industrial equipment based on historical energy consumption data of industrial equipment, the inability to timely discover abnormal energy consumption of equipment, the inability to accurately identify abnormal loads of equipment, and the inability to reduce industrial energy costs based on total industrial energy consumption. Summary of the Invention

[0004] In order to solve the above technical problems, a comprehensive industrial energy cost reduction system and method based on data analysis is provided. This technical solution solves the problems raised in the above background technology, namely, the inability to accurately analyze the industrial energy required by industrial equipment, the inability to accurately classify industrial energy, the inability to accurately evaluate the operating status of industrial equipment based on the historical energy consumption data of industrial equipment, the inability to timely discover abnormal equipment energy consumption, the inability to accurately identify abnormal equipment loads, and the inability to reduce industrial energy costs based on total industrial energy consumption.

[0005] In order to achieve the above objects, the technical solution adopted by the present invention is:

[0006] A comprehensive cost reduction method for industrial energy consumption based on data analysis, comprising:

[0007] Acquiring industrial energy information and industrial equipment information, wherein the industrial energy information includes industrial energy type information and industrial energy information required for each industrial equipment;

[0008] Acquiring industrial equipment parameter information based on the industrial equipment information, wherein the industrial equipment parameter information includes industrial equipment operation process information and industrial equipment workload information;

[0009] Based on industrial equipment parameter information, the industrial energy required by the industrial equipment is classified to obtain equipment energy classification information;

[0010] Acquire historical energy consumption data of the device, wherein the historical energy consumption data of the device includes historical energy consumption type information of the device and historical energy consumption amount information of the device;

[0011] Based on the equipment energy classification information and the equipment's historical energy consumption data, determine whether the industrial equipment has any abnormalities. If so, adjust the industrial equipment based on the equipment's historical energy consumption data. If not, the industrial equipment is operating normally.

[0012] Based on the historical energy consumption data of the equipment, industrial equipment is marked and the marking information of the industrial equipment is obtained;

[0013] Adjust industrial energy consumption based on industrial equipment marking information.

[0014] Preferably, classifying the industrial energy required by industrial equipment and obtaining equipment energy classification information specifically includes:

[0015] Based on analyzing the parameters of the industrial equipment, obtaining first energy information of the equipment, wherein the first energy information of the equipment is energy information used by the industrial equipment to implement the workflow;

[0016] Obtaining standard operating energy consumption data of the equipment, wherein the standard operating energy consumption data of the equipment represents energy consumption data of the industrial equipment when operating at different powers under standard operating conditions;

[0017] According to the equipment's primary energy information and the equipment's standard operating energy consumption data, based on data visualization processing, the equipment's primary energy consumption curve information is obtained;

[0018] Based on the analysis of the working content of the industrial equipment, obtaining a threshold value of a first energy consumption standard range of the equipment, wherein the threshold value of the first energy consumption standard range of the equipment includes a minimum threshold value of the first energy consumption standard of the equipment and a maximum threshold value of the first energy consumption standard of the equipment;

[0019] The energy consumption curve of the first energy source of the equipment is divided, and the energy consumption curve of the first energy source of the equipment within the energy consumption standard range threshold of the first energy source of the equipment is used as the calibration curve of the energy consumption of the first energy source of the equipment;

[0020] Obtaining a first energy consumption characteristic point of the device according to a first energy consumption calibration curve of the device;

[0021] According to the first energy consumption characteristic point of the equipment, the industrial energy required by the industrial equipment is classified to obtain the equipment energy classification information.

[0022] Preferably, obtaining the first energy consumption characteristic point of the device according to the first energy consumption calibration curve of the device specifically includes:

[0023] Obtaining, according to a first energy consumption calibration curve of the device, inflection point information of the calibration curve, wherein the inflection point information of the calibration curve includes curve position information corresponding to each inflection point of the calibration curve;

[0024] Based on the inflection point information of the calibration curve, the two inflection points of the calibration curve closest to the threshold value of the first energy consumption standard range of the equipment are used as the first energy consumption characteristic points of the equipment;

[0025] Obtaining an energy consumption characteristic coefficient based on the first energy consumption characteristic point of the equipment;

[0026] According to the energy consumption characteristic coefficient, determine whether the first energy consumption characteristic point of the equipment is available;

[0027] The first energy consumption characteristic point of the device includes a first energy consumption characteristic point and a second energy consumption characteristic point, and the inflection point of the calibration curve closest to the maximum threshold of the first energy consumption standard of the device is used as the first energy consumption characteristic point, and the inflection point of the calibration curve closest to the minimum threshold of the first energy consumption standard of the device is used as the second energy consumption characteristic point;

[0028] If the inflection point of the calibration curve closest to the threshold value of the first energy consumption standard range of the equipment does not exist, or the energy consumption characteristic coefficient K of the first energy consumption characteristic point of the equipment is greater than 0.13, the threshold value of the first energy consumption standard range of the equipment will be used as the first energy consumption characteristic point of the equipment;

[0029] If the energy consumption characteristic coefficient K of the first energy consumption characteristic point of the equipment is less than or equal to 0.13, the first energy consumption characteristic point of the equipment is usable;

[0030] The calculation formula of the energy consumption characteristic coefficient is:

[0031]

[0032] Where K is the energy consumption characteristic coefficient, ω1 is the maximum threshold of the first energy consumption standard of the equipment, ω2 is the minimum threshold of the first energy consumption standard of the equipment, is the first energy consumption value of the device corresponding to the first energy consumption characteristic point of the device, It is the first energy consumption characteristic point of the equipment.

[0033] Preferably, the step of classifying the industrial energy required by the industrial equipment according to the first energy consumption characteristic point of the equipment and obtaining the equipment energy classification information specifically includes:

[0034] Based on the standard operating energy consumption data of the equipment, obtain the equipment operating energy consumption data corresponding to the first energy consumption characteristic point of the equipment;

[0035] Analyze the equipment operation energy consumption data corresponding to the first energy consumption characteristic point of the equipment to obtain the equipment energy consumption coordination index;

[0036] Based on the analysis of equipment operation energy consumption requirements, obtain the equipment energy consumption coordination index threshold;

[0037] Classify the industrial energy required by industrial equipment based on the equipment energy consumption synergy index and the equipment energy consumption synergy index threshold, and obtain the equipment's secondary energy information and equipment auxiliary energy information;

[0038] Obtaining device energy classification information based on the device's first energy information, the device's second energy information, and the device's auxiliary energy information;

[0039] The calculation formula of the equipment energy consumption synergy index is:

[0040]

[0041] Where Q(x) is the equipment energy consumption synergy index of the xth type of industrial energy required by industrial equipment, is the energy consumption value of the xth type of industrial energy required by the industrial equipment corresponding to the first energy consumption characteristic point in the equipment operation energy consumption data, represents the first energy consumption characteristic point, is the energy consumption value of the xth type of industrial energy required by the industrial equipment corresponding to the second energy consumption characteristic point in the equipment operation energy consumption data, Represents the second energy consumption characteristic point, R i (x) is the coupling effect coefficient between the i-th industrial energy required by industrial equipment and the x-th industrial energy required by industrial equipment, τ is the energy efficiency coefficient of industrial equipment, and n is the total number of industrial energy types required by industrial equipment.

[0042] Preferably, judging whether an abnormality occurs in industrial equipment based on equipment energy classification information and equipment historical energy consumption data specifically includes:

[0043] Based on the device energy classification information, obtain the device first energy historical energy consumption data in the device historical energy consumption data;

[0044] According to the historical energy consumption data of the first energy of the equipment, based on data visualization processing, the historical energy consumption extreme value point of the first energy is obtained;

[0045] Obtaining an abnormal energy consumption index of the equipment based on the historical energy consumption extreme value point of the first energy source and the historical energy consumption data of the equipment;

[0046] Determine whether the energy consumption of industrial equipment is abnormal based on the equipment energy consumption abnormality index and the equipment energy consumption abnormality index threshold;

[0047] Among them, if the equipment energy consumption abnormality index exceeds the equipment energy consumption abnormality index threshold, the industrial equipment energy consumption is abnormal, and the industrial equipment is adjusted according to the equipment's historical energy consumption data;

[0048] If the equipment energy consumption abnormality index does not exceed the equipment energy consumption abnormality index threshold, the energy consumption of the industrial equipment is normal;

[0049] The calculation formula of the energy consumption abnormality index is:

[0050]

[0051] Where E is the energy consumption anomaly index, τ1 is the minimum value of the first energy consumption in history, τ2 is the maximum value of the first energy consumption in history, Q(x) is the equipment energy consumption synergy index of the xth industrial energy required by industrial equipment, τ is the historical energy consumption value of the first energy, δ x (τ) is the energy consumption value of the xth type of industrial energy required by industrial equipment, and n is the total number of industrial energy types required by industrial equipment.

[0052] Preferably, the adjusting of industrial energy consumption according to industrial equipment tag information specifically includes:

[0053] Obtain industrial equipment production efficiency information based on historical equipment energy consumption data;

[0054] Obtain industrial equipment load factors based on historical equipment energy consumption data and industrial equipment production efficiency information;

[0055] Based on the analysis of industrial equipment working strategies, obtain the load factor threshold of industrial equipment;

[0056] Determine whether to mark the industrial equipment according to the industrial equipment load factor and the industrial equipment load factor threshold; if the industrial equipment load factor is lower than the industrial equipment load factor threshold, mark the industrial equipment and obtain industrial equipment marking information;

[0057] Obtain historical total industrial energy consumption data;

[0058] Based on the historical energy consumption data of equipment and the historical total energy consumption data of industrial energy, determine whether the industrial energy consumption is abnormal; if

[0059]

[0060] Then, the industrial equipment scheduling is replanned according to the industrial equipment tag information;

[0061] like

[0062]

[0063] Adjust the industrial production process according to the industrial equipment marking information;

[0064] Where W is the total historical energy consumption of industrial energy, δ yx is the energy consumption value of the xth industrial energy of the yth industrial equipment, δ sxis the energy consumption value of the xth industrial energy of the sth marked industrial equipment, δ s1 is the energy consumption value of the first energy source of the s-th marked industrial equipment, n is the total number of industrial energy types required by the industrial equipment, m is the total number of industrial equipment, and g is the total number of marked industrial equipment;

[0065] The calculation formula of the industrial equipment load factor is:

[0066]

[0067] Where R is the load factor of industrial equipment, δ x is the energy consumption value of the xth type of industrial energy required by industrial equipment, ε x is the weight of the xth type of industrial energy required by the industrial equipment. If the xth type of industrial energy is the primary energy source of the equipment, then ε x =4, if the xth industrial energy is the second energy source of the equipment, then ε x =2, if the xth industrial energy is equipment auxiliary energy, then ε x =1, P is the production efficiency of industrial equipment, and P0 is the standard production efficiency of industrial equipment.

[0068] Furthermore, a comprehensive cost reduction system for industrial energy consumption based on data analysis is proposed to implement the above-mentioned cost reduction method, including:

[0069] A main control module, the main control module is used to determine whether the first energy consumption characteristic point of the equipment is available based on the energy consumption characteristic coefficient, determine whether the energy consumption of the industrial equipment is abnormal based on the equipment energy consumption abnormality index and the equipment energy consumption abnormality index threshold, determine whether the industrial equipment is marked based on the industrial equipment load factor and the industrial equipment load factor threshold, determine whether the industrial energy consumption is abnormal based on the equipment historical energy consumption data and the historical total industrial energy consumption data, analyze the industrial equipment parameters, obtain the first energy information of the equipment, obtain the first energy consumption characteristic point of the equipment based on the equipment first energy consumption calibration curve, classify the industrial energy required by the industrial equipment based on the first energy consumption characteristic point of the equipment, obtain equipment energy classification information, adjust the industrial equipment based on the equipment historical energy consumption data, mark the industrial equipment, obtain industrial equipment marking information, re-plan the industrial equipment scheduling based on the industrial equipment marking information, and adjust the industrial production process;

[0070] An information acquisition module, which is used to obtain industrial energy information and industrial equipment information, industrial energy type information, and industrial energy information required for each type of industrial equipment; based on the industrial equipment information, obtain industrial equipment parameter information, industrial equipment operation process information, and industrial equipment workload information; obtain equipment standard operation energy consumption data, equipment historical energy consumption data, equipment historical energy consumption type information, and equipment historical energy consumption information;

[0071] An evaluation module, the evaluation module being configured to obtain an energy consumption characteristic coefficient based on a first energy consumption characteristic point of the equipment, analyze the equipment operation energy consumption data corresponding to the first energy consumption characteristic point of the equipment to obtain an equipment energy consumption synergy index, obtain an equipment energy consumption anomaly index based on a first energy historical energy consumption extreme point and the equipment historical energy consumption data, and obtain an industrial equipment load factor based on the equipment historical energy consumption data and industrial equipment production efficiency information;

[0072] The display module interacts with the main control module and is used to output and display equipment energy classification information, industrial equipment marking information, equipment energy consumption abnormality index and industrial equipment load factor.

[0073] Optionally, the main control module specifically includes:

[0074] a control unit configured to analyze industrial equipment parameters, obtain first energy information of the equipment, obtain first energy consumption characteristic points of the equipment based on a first energy consumption calibration curve of the equipment, classify industrial energy required by the industrial equipment based on the first energy consumption characteristic points of the equipment, obtain equipment energy classification information, adjust the industrial equipment based on historical energy consumption data of the equipment, mark the industrial equipment, obtain industrial equipment marking information, replan industrial equipment scheduling based on the industrial equipment marking information, and adjust the industrial production process;

[0075] An information receiving unit, which interacts with the information acquisition module and the evaluation module to receive data and transmit it to the judgment unit;

[0076] A judgment unit is used to judge whether the first energy consumption characteristic point of the equipment is available based on the energy consumption characteristic coefficient, judge whether the energy consumption of industrial equipment is abnormal based on the equipment energy consumption abnormality index and the equipment energy consumption abnormality index threshold, judge whether the industrial equipment is marked based on the industrial equipment load factor and the industrial equipment load factor threshold, and judge whether the industrial energy consumption is abnormal based on the equipment historical energy consumption data and the historical total industrial energy consumption data.

[0077] Optionally, the information acquisition module specifically includes:

[0078] a first acquisition unit, configured to acquire industrial energy information and industrial equipment information, industrial energy type information, and industrial energy information required for each type of industrial equipment, and acquire industrial equipment parameter information, industrial equipment operation process information, and industrial equipment workload information based on the industrial equipment information;

[0079] The second acquisition unit is used to acquire the equipment's standard operation energy consumption data, the equipment's historical energy consumption data, the equipment's historical energy consumption type information, and the equipment's historical energy consumption information.

[0080] Optionally, the evaluation module specifically includes:

[0081] a data evaluation unit configured to obtain an energy consumption characteristic coefficient based on a first energy consumption characteristic point of the device, analyze the device operation energy consumption data corresponding to the first energy consumption characteristic point of the device, and obtain an energy consumption synergy index of the device;

[0082] The equipment evaluation unit is used to obtain the equipment energy consumption abnormality index based on the first energy historical energy consumption extreme point and the equipment historical energy consumption data, and obtain the industrial equipment load factor based on the equipment historical energy consumption data and industrial equipment production efficiency information.

[0083] Compared with the prior art, the present invention has the following beneficial effects:

[0084] The present invention proposes a comprehensive cost reduction system and method for industrial energy consumption based on data analysis. The first energy consumption characteristic point of the equipment is evaluated through the energy consumption characteristic coefficient, thereby ensuring the accuracy and reliability of the data. The industrial energy required by the industrial equipment is classified through the equipment energy consumption coordination index, thereby improving the analysis efficiency of industrial energy consumption. The equipment energy consumption anomaly index is used to evaluate the equipment operating status, timely discover industrial energy anomalies, and improve energy utilization efficiency. The industrial equipment load factor and the historical total industrial energy consumption data are used to re-plan the industrial equipment scheduling, thereby reducing energy waste, optimizing energy utilization, and ensuring sustainable development. BRIEF DESCRIPTION OF THE DRAWINGS

[0085] Figure 1 This is a flow chart of a comprehensive cost reduction method for industrial energy consumption based on data analysis proposed by the present invention;

[0086] Figure 2 This is a flow chart for obtaining equipment energy classification information in the present invention;

[0087] Figure 3 A flow chart for obtaining an abnormal energy consumption index of a device in the present invention;

[0088] Figure 4 This is a flowchart for obtaining industrial equipment marking information in the present invention;

[0089] Figure 5 This is a structural block diagram of the comprehensive industrial energy cost reduction system based on data analysis proposed by the present invention. DETAILED DESCRIPTION

[0090] The following description is intended to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are merely examples, and those skilled in the art may conceive of other obvious variations.

[0091] Reference Figure 1 - Figure 4 As shown, a comprehensive cost reduction method for industrial energy consumption based on data analysis in an embodiment of the present invention is:

[0092] Acquiring industrial energy information and industrial equipment information, wherein the industrial energy information includes industrial energy type information and industrial energy information required for each industrial equipment;

[0093] Acquiring industrial equipment parameter information based on the industrial equipment information, wherein the industrial equipment parameter information includes industrial equipment operation process information and industrial equipment workload information;

[0094] Based on industrial equipment parameter information, the industrial energy required by the industrial equipment is classified to obtain equipment energy classification information;

[0095] Specifically, the industrial energy required by industrial equipment is classified to obtain equipment energy classification information, including:

[0096] Based on analyzing the parameters of the industrial equipment, obtaining first energy information of the equipment, wherein the first energy information of the equipment is energy information used by the industrial equipment to implement the workflow;

[0097] Obtaining standard operating energy consumption data of the equipment, wherein the standard operating energy consumption data of the equipment represents energy consumption data of the industrial equipment when operating at different powers under standard operating conditions;

[0098] According to the equipment's primary energy information and the equipment's standard operating energy consumption data, based on data visualization processing, the equipment's primary energy consumption curve information is obtained;

[0099] Based on the analysis of the working content of the industrial equipment, obtaining a threshold value of a first energy consumption standard range of the equipment, wherein the threshold value of the first energy consumption standard range of the equipment includes a minimum threshold value of the first energy consumption standard of the equipment and a maximum threshold value of the first energy consumption standard of the equipment;

[0100] The energy consumption curve of the first energy source of the equipment is divided, and the energy consumption curve of the first energy source of the equipment within the energy consumption standard range threshold of the first energy source of the equipment is used as the calibration curve of the energy consumption of the first energy source of the equipment;

[0101] Obtaining a first energy consumption characteristic point of the device according to a first energy consumption calibration curve of the device;

[0102] According to the first energy consumption characteristic point of the equipment, the industrial energy required by the industrial equipment is classified to obtain the equipment energy classification information.

[0103] Specifically, according to the first energy consumption calibration curve of the device, obtaining the first energy consumption characteristic point of the device specifically includes:

[0104] Obtaining, according to a first energy consumption calibration curve of the device, inflection point information of the calibration curve, wherein the inflection point information of the calibration curve includes curve position information corresponding to each inflection point of the calibration curve;

[0105] Based on the inflection point information of the calibration curve, the two inflection points of the calibration curve closest to the threshold value of the first energy consumption standard range of the equipment are used as the first energy consumption characteristic points of the equipment;

[0106] Obtaining an energy consumption characteristic coefficient based on the first energy consumption characteristic point of the equipment;

[0107] According to the energy consumption characteristic coefficient, determine whether the first energy consumption characteristic point of the equipment is available;

[0108] The first energy consumption characteristic point of the device includes a first energy consumption characteristic point and a second energy consumption characteristic point, and the inflection point of the calibration curve closest to the maximum threshold of the first energy consumption standard of the device is used as the first energy consumption characteristic point, and the inflection point of the calibration curve closest to the minimum threshold of the first energy consumption standard of the device is used as the second energy consumption characteristic point;

[0109] If the inflection point of the calibration curve closest to the threshold value of the first energy consumption standard range of the equipment does not exist, or the energy consumption characteristic coefficient K of the first energy consumption characteristic point of the equipment is greater than 0.13, the threshold value of the first energy consumption standard range of the equipment will be used as the first energy consumption characteristic point of the equipment;

[0110] If the energy consumption characteristic coefficient K of the first energy consumption characteristic point of the equipment is less than or equal to 0.13, the first energy consumption characteristic point of the equipment is usable;

[0111] The calculation formula of the energy consumption characteristic coefficient is:

[0112]

[0113] Where K is the energy consumption characteristic coefficient, ω1 is the maximum threshold of the first energy consumption standard of the equipment, ω2 is the minimum threshold of the first energy consumption standard of the equipment, is the first energy consumption value of the device corresponding to the first energy consumption characteristic point of the device, It is the first energy consumption characteristic point of the equipment.

[0114] In this solution, the first energy information of the equipment is obtained by analyzing the parameters of the industrial equipment, that is, the main energy used by the industrial equipment is used as the first energy of the equipment, for example, the first energy of the equipment of industrial power equipment is electricity, the first energy of the equipment of steam compression equipment is steam, the first energy of the equipment of natural gas industrial equipment is natural gas, etc. The first energy consumption curve of the equipment within the standard range threshold of the first energy energy consumption of the equipment is used as the first energy energy consumption calibration curve of the equipment, and the two inflection points of the calibration curve closest to the standard range threshold of the first energy energy consumption of the equipment are used as the first energy energy consumption characteristic points of the equipment. The first energy energy consumption characteristic points of the equipment are analyzed through the energy consumption characteristic coefficient, which ensures the accuracy and reliability of the data and improves the efficiency of data analysis.

[0115] Specifically, based on the first energy consumption characteristic point of the equipment, the industrial energy required by the industrial equipment is classified to obtain equipment energy classification information, which specifically includes:

[0116] Based on the standard operating energy consumption data of the equipment, obtain the equipment operating energy consumption data corresponding to the first energy consumption characteristic point of the equipment;

[0117] Analyze the equipment operation energy consumption data corresponding to the first energy consumption characteristic point of the equipment to obtain the equipment energy consumption coordination index;

[0118] Based on the analysis of equipment operation energy consumption requirements, obtain the equipment energy consumption coordination index threshold;

[0119] Classify the industrial energy required by industrial equipment based on the equipment energy consumption synergy index and the equipment energy consumption synergy index threshold, and obtain the equipment's secondary energy information and equipment auxiliary energy information;

[0120] Obtaining device energy classification information based on the device's first energy information, the device's second energy information, and the device's auxiliary energy information;

[0121] The calculation formula of the equipment energy consumption synergy index is:

[0122]

[0123] Where Q(x) is the equipment energy consumption synergy index of the xth type of industrial energy required by industrial equipment, is the energy consumption value of the xth type of industrial energy required by the industrial equipment corresponding to the first energy consumption characteristic point in the equipment operation energy consumption data, represents the first energy consumption characteristic point, is the energy consumption value of the xth type of industrial energy required by the industrial equipment corresponding to the second energy consumption characteristic point in the equipment operation energy consumption data, Represents the second energy consumption characteristic point, R i(x) is the coupling effect coefficient between the i-th industrial energy required by industrial equipment and the x-th industrial energy required by industrial equipment, τ is the energy efficiency coefficient of industrial equipment, and n is the total number of industrial energy types required by industrial equipment.

[0124] In this solution, the equipment operation energy consumption data corresponding to the first energy consumption characteristic point of the equipment is analyzed to obtain the equipment energy consumption coordination index. According to the equipment energy consumption coordination index and the equipment energy consumption coordination index threshold, the industrial energy required by the industrial equipment is classified, and the equipment second energy information and the equipment auxiliary energy information are obtained. According to the equipment first energy information, the equipment second energy information and the equipment auxiliary energy information, the equipment energy classification information is obtained. By classifying the industrial energy required by the industrial equipment, the analysis efficiency of industrial energy consumption is improved.

[0125] In this embodiment, the equipment energy consumption synergy index threshold is 1.21. If the equipment energy consumption synergy index Q(x)≤1.21, then this type of industrial energy is the equipment auxiliary energy. If the equipment energy consumption synergy index Q(x)>1.21, then this type of industrial energy is the equipment secondary energy.

[0126] Acquire historical energy consumption data of the device, wherein the historical energy consumption data of the device includes historical energy consumption type information of the device and historical energy consumption amount information of the device;

[0127] Based on the equipment energy classification information and the equipment's historical energy consumption data, determine whether the industrial equipment has any abnormalities. If so, adjust the industrial equipment based on the equipment's historical energy consumption data. If not, the industrial equipment is operating normally.

[0128] Specifically, based on the equipment energy classification information and historical energy consumption data, determine whether industrial equipment has abnormalities, including:

[0129] Based on the device energy classification information, obtain the device first energy historical energy consumption data in the device historical energy consumption data;

[0130] According to the historical energy consumption data of the first energy of the equipment, based on data visualization processing, the historical energy consumption extreme value point of the first energy is obtained;

[0131] Obtaining an abnormal energy consumption index of the equipment based on the historical energy consumption extreme value point of the first energy source and the historical energy consumption data of the equipment;

[0132] Determine whether the energy consumption of industrial equipment is abnormal based on the equipment energy consumption abnormality index and the equipment energy consumption abnormality index threshold;

[0133] Among them, if the equipment energy consumption abnormality index exceeds the equipment energy consumption abnormality index threshold, the industrial equipment energy consumption is abnormal, and the industrial equipment is adjusted according to the equipment's historical energy consumption data;

[0134] If the equipment energy consumption abnormality index does not exceed the equipment energy consumption abnormality index threshold, the energy consumption of the industrial equipment is normal;

[0135] The calculation formula of the energy consumption abnormality index is:

[0136]

[0137] Where E is the energy consumption anomaly index, τ1 is the minimum value of the first energy consumption in history, τ2 is the maximum value of the first energy consumption in history, Q(x) is the equipment energy consumption synergy index of the xth industrial energy required by industrial equipment, τ is the historical energy consumption value of the first energy, δ x (τ) is the energy consumption value of the xth type of industrial energy required by industrial equipment, and n is the total number of industrial energy types required by industrial equipment.

[0138] In this solution, the historical energy consumption data of the first energy of the equipment is used to obtain the extreme value points of the historical energy consumption of the first energy based on data visualization processing. According to the extreme value points of the historical energy consumption of the first energy and the historical energy consumption data of the equipment, the equipment energy consumption anomaly index is obtained. Through the equipment energy consumption anomaly index and the equipment energy consumption anomaly index threshold, it is judged whether the energy consumption of industrial equipment is abnormal, the equipment operation status is evaluated, the industrial energy consumption anomaly is discovered in time, and the energy utilization efficiency is improved.

[0139] It is understandable that for the same industrial equipment, the industrial energy required by the industrial equipment affects each other. For example, for steam compression equipment, the more steam energy the equipment requires, the more electrical energy is required to achieve steam compression. Therefore, based on the historical energy consumption value of the first energy of the equipment, the historical energy consumption data of the equipment is analyzed to identify abnormal energy consumption of the equipment. In this embodiment, the threshold value of the abnormal energy consumption index of the equipment is

[0140] Based on the historical energy consumption data of the equipment, industrial equipment is marked and the marking information of the industrial equipment is obtained;

[0141] Adjust industrial energy consumption based on industrial equipment marking information.

[0142] Specifically, industrial energy consumption is adjusted based on the industrial equipment marking information, including:

[0143] Obtain industrial equipment production efficiency information based on historical equipment energy consumption data;

[0144] Obtain industrial equipment load factors based on historical equipment energy consumption data and industrial equipment production efficiency information;

[0145] Based on the analysis of industrial equipment working strategies, obtain the load factor threshold of industrial equipment;

[0146] Determine whether to mark the industrial equipment according to the industrial equipment load factor and the industrial equipment load factor threshold; if the industrial equipment load factor is lower than the industrial equipment load factor threshold, mark the industrial equipment and obtain industrial equipment marking information;

[0147] Obtain historical total industrial energy consumption data;

[0148] Based on the historical energy consumption data of equipment and the historical total energy consumption data of industrial energy, determine whether the industrial energy consumption is abnormal; if

[0149]

[0150] Then, the industrial equipment scheduling is replanned according to the industrial equipment tag information;

[0151] like

[0152]

[0153] Adjust the industrial production process according to the industrial equipment marking information;

[0154] Where W is the total historical energy consumption of industrial energy, δ yx is the energy consumption value of the xth industrial energy of the yth industrial equipment, δ sx is the energy consumption value of the xth industrial energy of the sth marked industrial equipment, δ s1 is the energy consumption value of the first energy source of the s-th marked industrial equipment, n is the total number of industrial energy types required by the industrial equipment, m is the total number of industrial equipment, and g is the total number of marked industrial equipment;

[0155] The calculation formula of the industrial equipment load factor is:

[0156]

[0157] Where R is the load factor of industrial equipment, δ x is the energy consumption value of the xth type of industrial energy required by industrial equipment, ε x is the weight of the xth type of industrial energy required by the industrial equipment. If the xth type of industrial energy is the primary energy source of the equipment, then ε x =4, if the xth industrial energy is the second energy source of the equipment, then ε x =2, if the xth industrial energy is equipment auxiliary energy, then ε x =1, P is the production efficiency of industrial equipment, and P0 is the standard production efficiency of industrial equipment.

[0158] In this solution, whether to mark industrial equipment is determined by the industrial equipment load coefficient and the industrial equipment load coefficient threshold. It is understandable that the normal energy consumption status of industrial equipment does not mean that the operating status of the industrial equipment in the entire production system is normal. For example, when the preceding process flow is not completed, the industrial equipment is in standby, or the production scheduling efficiency is low, resulting in the industrial equipment load being too low or too high. Therefore, the industrial equipment load coefficient is used to mark equipment with abnormal industrial equipment load. The historical energy consumption data of the equipment and the historical total industrial energy consumption data are used to determine whether the industrial energy consumption is abnormal, thereby reducing energy waste, optimizing energy use, and ensuring sustainable development.

[0159] It's important to note that even if the energy consumption of individual devices is normal, certain links in the overall production process may not be coordinated well, resulting in excessively high total energy consumption. For example, certain links in the production process may require a large amount of energy input but produce low output, leading to excessively high overall energy consumption. Alternatively, unscheduled equipment operation times may cause some devices to be overloaded while others are idle or operating inefficiently. In this embodiment, the industrial equipment load factor threshold is the total industrial energy consumption under standard operating conditions.

[0160] Reference Figure 5 As shown, further, combined with the above-mentioned method for comprehensive cost reduction of industrial energy consumption based on data analysis, a comprehensive cost reduction system for industrial energy consumption based on data analysis is proposed, including:

[0161] A main control module, the main control module is used to determine whether the first energy consumption characteristic point of the equipment is available based on the energy consumption characteristic coefficient, determine whether the energy consumption of the industrial equipment is abnormal based on the equipment energy consumption abnormality index and the equipment energy consumption abnormality index threshold, determine whether the industrial equipment is marked based on the industrial equipment load factor and the industrial equipment load factor threshold, determine whether the industrial energy consumption is abnormal based on the equipment historical energy consumption data and the historical total industrial energy consumption data, analyze the industrial equipment parameters, obtain the first energy information of the equipment, obtain the first energy consumption characteristic point of the equipment based on the equipment first energy consumption calibration curve, classify the industrial energy required by the industrial equipment based on the first energy consumption characteristic point of the equipment, obtain equipment energy classification information, adjust the industrial equipment based on the equipment historical energy consumption data, mark the industrial equipment, obtain industrial equipment marking information, re-plan the industrial equipment scheduling based on the industrial equipment marking information, and adjust the industrial production process;

[0162] An information acquisition module, which is used to obtain industrial energy information and industrial equipment information, industrial energy type information, and industrial energy information required for each type of industrial equipment; based on the industrial equipment information, obtain industrial equipment parameter information, industrial equipment operation process information, and industrial equipment workload information; obtain equipment standard operation energy consumption data, equipment historical energy consumption data, equipment historical energy consumption type information, and equipment historical energy consumption information;

[0163] An evaluation module, the evaluation module being configured to obtain an energy consumption characteristic coefficient based on a first energy consumption characteristic point of the equipment, analyze the equipment operation energy consumption data corresponding to the first energy consumption characteristic point of the equipment to obtain an equipment energy consumption synergy index, obtain an equipment energy consumption anomaly index based on a first energy historical energy consumption extreme point and the equipment historical energy consumption data, and obtain an industrial equipment load factor based on the equipment historical energy consumption data and industrial equipment production efficiency information;

[0164] The display module interacts with the main control module and is used to output and display equipment energy classification information, industrial equipment marking information, equipment energy consumption abnormality index and industrial equipment load factor.

[0165] Main control module, specifically including:

[0166] a control unit configured to analyze industrial equipment parameters, obtain first energy information of the equipment, obtain first energy consumption characteristic points of the equipment based on a first energy consumption calibration curve of the equipment, classify industrial energy required by the industrial equipment based on the first energy consumption characteristic points of the equipment, obtain equipment energy classification information, adjust the industrial equipment based on historical energy consumption data of the equipment, mark the industrial equipment, obtain industrial equipment marking information, replan industrial equipment scheduling based on the industrial equipment marking information, and adjust the industrial production process;

[0167] An information receiving unit, which interacts with the information acquisition module and the evaluation module to receive data and transmit it to the judgment unit;

[0168] A judgment unit is used to judge whether the first energy consumption characteristic point of the equipment is available based on the energy consumption characteristic coefficient, judge whether the energy consumption of industrial equipment is abnormal based on the equipment energy consumption abnormality index and the equipment energy consumption abnormality index threshold, judge whether the industrial equipment is marked based on the industrial equipment load factor and the industrial equipment load factor threshold, and judge whether the industrial energy consumption is abnormal based on the equipment historical energy consumption data and the historical total industrial energy consumption data.

[0169] Information acquisition module, specifically including:

[0170] a first acquisition unit, configured to acquire industrial energy information and industrial equipment information, industrial energy type information, and industrial energy information required for each type of industrial equipment, and acquire industrial equipment parameter information, industrial equipment operation process information, and industrial equipment workload information based on the industrial equipment information;

[0171] The second acquisition unit is used to acquire the equipment's standard operation energy consumption data, the equipment's historical energy consumption data, the equipment's historical energy consumption type information, and the equipment's historical energy consumption information.

[0172] Assessment modules include:

[0173] a data evaluation unit configured to obtain an energy consumption characteristic coefficient based on a first energy consumption characteristic point of the device, analyze the device operation energy consumption data corresponding to the first energy consumption characteristic point of the device, and obtain an energy consumption synergy index of the device;

[0174] The equipment evaluation unit is used to obtain the equipment energy consumption abnormality index based on the first energy historical energy consumption extreme point and the equipment historical energy consumption data, and obtain the industrial equipment load factor based on the equipment historical energy consumption data and industrial equipment production efficiency information.

[0175] To sum up, the advantages of the present invention are: by analyzing the parameters of industrial equipment, the first energy information of the equipment is obtained, the first energy consumption characteristic point of the equipment is obtained through the first energy information of the equipment, and the first energy consumption characteristic point of the equipment is evaluated through the energy consumption characteristic coefficient, thereby ensuring the accuracy and reliability of the data; by analyzing the equipment operation energy consumption data corresponding to the first energy consumption characteristic point of the equipment, the equipment energy consumption coordination index is obtained; through the equipment energy consumption coordination index, the industrial energy required by the industrial equipment is classified to obtain equipment energy classification information; through the equipment energy classification information, the analysis efficiency of industrial energy use is improved; through the first energy historical energy consumption extreme point and the equipment historical energy consumption data, the equipment energy consumption anomaly index is obtained; through the equipment energy consumption anomaly index, the equipment operation status is evaluated, industrial energy anomalies are discovered in time, and energy use efficiency is improved; through the equipment historical energy consumption data and industrial equipment production efficiency information, the industrial equipment load factor is obtained; through the industrial equipment load factor and the historical total industrial energy consumption data, the industrial equipment scheduling is re-planned, energy waste is reduced, energy use is optimized, and sustainable development is ensured.

[0176] The above shows and describes the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions merely illustrate the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. A comprehensive cost reduction method for industrial energy consumption based on data analysis, characterized in that: include: Acquiring industrial energy information and industrial equipment information, wherein the industrial energy information includes industrial energy type information and industrial energy information required for each industrial equipment; Acquiring industrial equipment parameter information based on the industrial equipment information, wherein the industrial equipment parameter information includes industrial equipment operation process information and industrial equipment workload information; Based on industrial equipment parameter information, the industrial energy required by the industrial equipment is classified to obtain equipment energy classification information; Acquire historical energy consumption data of the device, wherein the historical energy consumption data of the device includes historical energy consumption type information of the device and historical energy consumption amount information of the device; Based on the equipment energy classification information and the equipment's historical energy consumption data, determine whether the industrial equipment has any abnormalities. If so, adjust the industrial equipment based on the equipment's historical energy consumption data. If not, the industrial equipment is operating normally. Based on the historical energy consumption data of the equipment, industrial equipment is marked and the marking information of the industrial equipment is obtained; Adjust industrial energy consumption based on industrial equipment tag information; The determination of whether an abnormality occurs in industrial equipment based on equipment energy classification information and equipment historical energy consumption data specifically includes: Based on the device energy classification information, obtain the device first energy historical energy consumption data in the device historical energy consumption data; According to the historical energy consumption data of the first energy of the equipment, based on data visualization processing, the historical energy consumption extreme value point of the first energy is obtained; Obtaining an abnormal energy consumption index of the equipment based on the historical energy consumption extreme value point of the first energy source and the historical energy consumption data of the equipment; Determine whether the energy consumption of industrial equipment is abnormal based on the equipment energy consumption abnormality index and the equipment energy consumption abnormality index threshold; Among them, if the equipment energy consumption abnormality index exceeds the equipment energy consumption abnormality index threshold, the industrial equipment energy consumption is abnormal, and the industrial equipment is adjusted according to the equipment's historical energy consumption data; If the equipment energy consumption abnormality index does not exceed the equipment energy consumption abnormality index threshold, the energy consumption of the industrial equipment is normal; The calculation formula of the energy consumption abnormality index is: Where E is the energy consumption anomaly index, τ1 is the minimum value of the first energy consumption in history, τ2 is the maximum value of the first energy consumption in history, Q(x) is the equipment energy consumption synergy index of the xth industrial energy required by industrial equipment, τ is the historical energy consumption value of the first energy, δ x (τ) is the energy consumption value of the xth type of industrial energy required by industrial equipment, and n is the total number of industrial energy types required by industrial equipment.

2. The method for comprehensive cost reduction of industrial energy consumption based on data analysis according to claim 1 is characterized in that: Classifying the industrial energy required by industrial equipment and obtaining equipment energy classification information specifically includes: Based on analyzing the parameters of the industrial equipment, obtaining first energy information of the equipment, wherein the first energy information of the equipment is energy information used by the industrial equipment to implement the workflow; Obtaining standard operating energy consumption data of the equipment, wherein the standard operating energy consumption data of the equipment represents energy consumption data of the industrial equipment when operating at different powers under standard operating conditions; According to the equipment's primary energy information and the equipment's standard operating energy consumption data, based on data visualization processing, the equipment's primary energy consumption curve information is obtained; Based on the analysis of the working content of the industrial equipment, obtaining a threshold value of a first energy consumption standard range of the equipment, wherein the threshold value of the first energy consumption standard range of the equipment includes a minimum threshold value of the first energy consumption standard of the equipment and a maximum threshold value of the first energy consumption standard of the equipment; The energy consumption curve of the first energy source of the equipment is divided, and the energy consumption curve of the first energy source of the equipment within the energy consumption standard range threshold of the first energy source of the equipment is used as the calibration curve of the energy consumption of the first energy source of the equipment; Obtaining a first energy consumption characteristic point of the device according to a first energy consumption calibration curve of the device; According to the first energy consumption characteristic point of the equipment, the industrial energy required by the industrial equipment is classified to obtain the equipment energy classification information.

3. The method for comprehensive cost reduction of industrial energy consumption based on data analysis according to claim 2 is characterized in that: The obtaining of the first energy consumption characteristic point of the device according to the first energy consumption calibration curve of the device specifically includes: Obtaining, according to a first energy consumption calibration curve of the device, inflection point information of the calibration curve, wherein the inflection point information of the calibration curve includes curve position information corresponding to each inflection point of the calibration curve; Based on the inflection point information of the calibration curve, the two inflection points of the calibration curve closest to the threshold value of the first energy consumption standard range of the equipment are used as the first energy consumption characteristic points of the equipment; Obtaining an energy consumption characteristic coefficient based on the first energy consumption characteristic point of the equipment; According to the energy consumption characteristic coefficient, determine whether the first energy consumption characteristic point of the equipment is available; The first energy consumption characteristic point of the device includes a first energy consumption characteristic point and a second energy consumption characteristic point, and the inflection point of the calibration curve closest to the maximum threshold of the first energy consumption standard of the device is used as the first energy consumption characteristic point, and the inflection point of the calibration curve closest to the minimum threshold of the first energy consumption standard of the device is used as the second energy consumption characteristic point; If the inflection point of the calibration curve closest to the threshold value of the first energy consumption standard range of the equipment does not exist, or the energy consumption characteristic coefficient K of the first energy consumption characteristic point of the equipment is greater than 0.13, the threshold value of the first energy consumption standard range of the equipment will be used as the first energy consumption characteristic point of the equipment; If the energy consumption characteristic coefficient K of the first energy consumption characteristic point of the equipment is less than or equal to 0.13, the first energy consumption characteristic point of the equipment is usable; The calculation formula of the energy consumption characteristic coefficient is: Where K is the energy consumption characteristic coefficient, ω1 is the maximum threshold of the first energy consumption standard of the equipment, ω2 is the minimum threshold of the first energy consumption standard of the equipment, is the first energy consumption value of the device corresponding to the first energy consumption characteristic point of the device, It is the first energy consumption characteristic point of the equipment.

4. The method for comprehensive cost reduction of industrial energy consumption based on data analysis according to claim 2 is characterized in that: The step of classifying the industrial energy required by the industrial equipment according to the first energy consumption characteristic point of the equipment and obtaining the equipment energy classification information specifically includes: Based on the standard operating energy consumption data of the equipment, obtain the equipment operating energy consumption data corresponding to the first energy consumption characteristic point of the equipment; Analyze the equipment operation energy consumption data corresponding to the first energy consumption characteristic point of the equipment to obtain the equipment energy consumption coordination index; Based on the analysis of equipment operation energy consumption requirements, obtain the equipment energy consumption coordination index threshold; Classify the industrial energy required by industrial equipment based on the equipment energy consumption synergy index and the equipment energy consumption synergy index threshold, and obtain the equipment's secondary energy information and equipment auxiliary energy information; Obtaining device energy classification information based on the device's first energy information, the device's second energy information, and the device's auxiliary energy information; The calculation formula of the equipment energy consumption synergy index is: Where Q(x) is the equipment energy consumption synergy index of the xth type of industrial energy required by industrial equipment, is the energy consumption value of the xth type of industrial energy required by the industrial equipment corresponding to the first energy consumption characteristic point in the equipment operation energy consumption data, represents the first energy consumption characteristic point, is the energy consumption value of the xth type of industrial energy required by the industrial equipment corresponding to the second energy consumption characteristic point in the equipment operation energy consumption data, Represents the second energy consumption characteristic point, R i (x) is the coupling effect coefficient between the i-th industrial energy required by industrial equipment and the x-th industrial energy required by industrial equipment, τ is the energy efficiency coefficient of industrial equipment, and n is the total number of industrial energy types required by industrial equipment.

5. The method for comprehensive cost reduction of industrial energy consumption based on data analysis according to claim 1 is characterized in that: The adjustment of industrial energy consumption according to the industrial equipment tag information specifically includes: Obtain industrial equipment production efficiency information based on historical equipment energy consumption data; Obtain industrial equipment load factors based on historical equipment energy consumption data and industrial equipment production efficiency information; Based on the analysis of industrial equipment working strategies, obtain the load factor threshold of industrial equipment; Determine whether to mark the industrial equipment according to the industrial equipment load factor and the industrial equipment load factor threshold; if the industrial equipment load factor is lower than the industrial equipment load factor threshold, mark the industrial equipment and obtain industrial equipment marking information; Obtain historical total industrial energy consumption data; Determine whether industrial energy consumption is abnormal based on historical equipment energy consumption data and historical total industrial energy consumption data; Among them, if Then, the industrial equipment scheduling is replanned according to the industrial equipment tag information; like Adjust the industrial production process according to the industrial equipment marking information; Where W is the total historical energy consumption of industrial energy, δ yx is the energy consumption value of the xth industrial energy of the yth industrial equipment, δ sx is the energy consumption value of the xth industrial energy of the sth marked industrial equipment, δ s1 is the energy consumption value of the first energy source of the s-th marked industrial equipment, n is the total number of industrial energy types required by the industrial equipment, m is the total number of industrial equipment, and g is the total number of marked industrial equipment; The calculation formula of the industrial equipment load factor is: Where R is the load factor of industrial equipment, δ x is the energy consumption value of the xth type of industrial energy required by industrial equipment, ε x is the weight of the xth type of industrial energy required by the industrial equipment. If the xth type of industrial energy is the primary energy source of the equipment, then ε x =4, if the xth industrial energy is the second energy source of the equipment, then ε x =2, if the xth industrial energy is equipment auxiliary energy, then ε x =1, P is the production efficiency of industrial equipment, and P0 is the standard production efficiency of industrial equipment.

6. A comprehensive cost reduction system for industrial energy consumption based on data analysis, used to implement the cost reduction method according to any one of claims 1 to 5, characterized in that: include: A main control module, the main control module is used to determine whether the first energy consumption characteristic point of the equipment is available based on the energy consumption characteristic coefficient, determine whether the energy consumption of the industrial equipment is abnormal based on the equipment energy consumption abnormality index and the equipment energy consumption abnormality index threshold, determine whether the industrial equipment is marked based on the industrial equipment load factor and the industrial equipment load factor threshold, determine whether the industrial energy consumption is abnormal based on the equipment historical energy consumption data and the historical total industrial energy consumption data, analyze the industrial equipment parameters, obtain the first energy information of the equipment, obtain the first energy consumption characteristic point of the equipment based on the equipment first energy consumption calibration curve, classify the industrial energy required by the industrial equipment based on the first energy consumption characteristic point of the equipment, obtain equipment energy classification information, adjust the industrial equipment based on the equipment historical energy consumption data, mark the industrial equipment, obtain industrial equipment marking information, re-plan the industrial equipment scheduling based on the industrial equipment marking information, and adjust the industrial production process; An information acquisition module, which is used to obtain industrial energy information and industrial equipment information, industrial energy type information, and industrial energy information required for each type of industrial equipment; based on the industrial equipment information, obtain industrial equipment parameter information, industrial equipment operation process information, and industrial equipment workload information; obtain equipment standard operation energy consumption data, equipment historical energy consumption data, equipment historical energy consumption type information, and equipment historical energy consumption information; An evaluation module, the evaluation module being configured to obtain an energy consumption characteristic coefficient based on a first energy consumption characteristic point of the equipment, analyze the equipment operation energy consumption data corresponding to the first energy consumption characteristic point of the equipment to obtain an equipment energy consumption synergy index, obtain an equipment energy consumption anomaly index based on a first energy historical energy consumption extreme point and the equipment historical energy consumption data, and obtain an industrial equipment load factor based on the equipment historical energy consumption data and industrial equipment production efficiency information; The display module interacts with the main control module and is used to output and display equipment energy classification information, industrial equipment marking information, equipment energy consumption abnormality index and industrial equipment load factor.

7. The system for comprehensive cost reduction of industrial energy consumption based on data analysis according to claim 6 is characterized in that: The main control module specifically includes: a control unit configured to analyze industrial equipment parameters, obtain first energy information of the equipment, obtain first energy consumption characteristic points of the equipment based on a first energy consumption calibration curve of the equipment, classify industrial energy required by the industrial equipment based on the first energy consumption characteristic points of the equipment, obtain equipment energy classification information, adjust the industrial equipment based on historical energy consumption data of the equipment, mark the industrial equipment, obtain industrial equipment marking information, replan industrial equipment scheduling based on the industrial equipment marking information, and adjust the industrial production process; An information receiving unit, which interacts with the information acquisition module and the evaluation module to receive data and transmit it to the judgment unit; A judgment unit is used to judge whether the first energy consumption characteristic point of the equipment is available based on the energy consumption characteristic coefficient, judge whether the energy consumption of industrial equipment is abnormal based on the equipment energy consumption abnormality index and the equipment energy consumption abnormality index threshold, judge whether the industrial equipment is marked based on the industrial equipment load factor and the industrial equipment load factor threshold, and judge whether the industrial energy consumption is abnormal based on the equipment historical energy consumption data and the historical total industrial energy consumption data.

8. The system for comprehensive cost reduction of industrial energy consumption based on data analysis according to claim 6 is characterized in that: The information acquisition module specifically includes: a first acquisition unit, configured to acquire industrial energy information and industrial equipment information, industrial energy type information, and industrial energy information required for each type of industrial equipment, and acquire industrial equipment parameter information, industrial equipment operation process information, and industrial equipment workload information based on the industrial equipment information; The second acquisition unit is used to acquire the equipment's standard operation energy consumption data, the equipment's historical energy consumption data, the equipment's historical energy consumption type information, and the equipment's historical energy consumption information.

9. The system for comprehensive cost reduction of industrial energy consumption based on data analysis according to claim 6 is characterized in that: The evaluation module specifically includes: a data evaluation unit configured to obtain an energy consumption characteristic coefficient based on a first energy consumption characteristic point of the device, analyze the device operation energy consumption data corresponding to the first energy consumption characteristic point of the device, and obtain an energy consumption synergy index of the device; The equipment evaluation unit is used to obtain the equipment energy consumption abnormality index based on the first energy historical energy consumption extreme point and the equipment historical energy consumption data, and obtain the industrial equipment load factor based on the equipment historical energy consumption data and industrial equipment production efficiency information.

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