Industrial energy comprehensive cost reduction system and method based on data analysis
By analyzing and classifying the energy information and historical energy consumption data of industrial equipment, the problem of reducing costs in industrial energy consumption is solved, and the accurate evaluation and optimization of energy consumption of industrial equipment is achieved, and energy use efficiency and sustainable development are improved.
Patent Information
- Application Number
- CN202411656270.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-19
- Publication Date
- 2025-03-11
- Estimated Expiration
- 2044-11-19
AI Technical Summary
The existing technology cannot accurately analyze the industrial energy required by industrial equipment, cannot accurately classify industrial energy, cannot accurately evaluate the historical energy consumption data of industrial equipment, cannot timely discover abnormal equipment energy consumption, cannot accurately identify the abnormal load of equipment, and cannot effectively reduce industrial energy consumption based on the total energy consumption of industrial energy.
By obtaining industrial energy information and equipment information, analyzing equipment parameters, performing energy classification, obtaining equipment historical energy consumption data, determining whether there are abnormalities in the equipment, adjusting and marking, and finally adjusting industrial energy consumption based on the marking information.
It realizes accurate analysis and classification of industrial energy consumption, improves the efficiency of equipment operating status evaluation, promptly detects and solves energy consumption abnormalities, optimizes energy use, reduces energy waste, and ensures sustainable development.
Smart Images

Figure CN119599357A_ABST
Abstract
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 cost reduction of industrial energy consumption based on data analysis. Background Art
[0002] High-energy-consuming industrial production products have to go through multiple processes. Traditional production technology not only occupies human resources, but also easily causes problems such as excessive energy consumption and energy waste. Reducing energy costs is an important issue currently faced by many countries and companies around the world. Energy is a key production factor in industrial production, especially in energy-intensive industries such as steel, fertilizers, chemicals, and electricity, where energy costs account for a large proportion. In order to enhance competitiveness, achieve sustainable development, and respond to environmental policies, cost reduction and efficiency improvement have become important strategies in the industrial field.
[0003] Currently, there are still some problems in reducing the cost of industrial energy, 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 the 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 the cost of industrial energy based on the total industrial energy consumption. Summary of the invention
[0004] In order to solve the above technical problems, a system and method for comprehensive cost reduction of industrial energy consumption based on data analysis is provided. The technical solution solves the problems raised in the above background technology, namely, it is impossible to accurately analyze the industrial energy required by industrial equipment, it is impossible to accurately classify industrial energy, it is impossible to accurately evaluate the operating status of industrial equipment based on the historical energy consumption data of industrial equipment, it is impossible to timely discover abnormal energy consumption of equipment, it is impossible to accurately identify abnormal loads of equipment, and it is impossible to reduce the cost of industrial energy consumption based on the total industrial energy consumption.
[0005] In order to achieve the above purpose, 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] Acquire 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] Acquire industrial equipment parameter information according to the industrial equipment information, wherein the industrial equipment parameter information includes industrial equipment operation process information and industrial equipment workload information;
[0009] Based on the industrial equipment parameter information, the industrial energy required by the industrial equipment is classified to obtain the 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] According to the equipment energy classification information and the equipment historical energy consumption data, determine whether the industrial equipment is abnormal. If so, adjust the industrial equipment according to the equipment historical energy consumption data. If not, the industrial equipment is working normally.
[0012] Based on the historical energy consumption data of the equipment, the 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, the industrial energy required by the industrial equipment is classified to obtain equipment energy classification information, specifically including:
[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] Acquire standard operation energy consumption data of equipment, wherein the standard operation energy consumption data of equipment represents energy consumption data of industrial equipment when operating at different powers under standard operation state;
[0017] According to the first energy information of the equipment and the energy consumption data of the equipment standard operation, based on data visualization processing, the energy consumption curve information of the first energy of the equipment is obtained;
[0018] Based on the analysis of the working content of the industrial equipment, obtaining the threshold value of the first energy consumption standard range of the equipment, wherein the threshold value of the first energy consumption standard range of the equipment includes the minimum threshold value of the first energy consumption standard of the equipment and the 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 threshold value of the energy consumption standard range 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] According to the first energy consumption calibration curve of the equipment, obtain the first energy consumption characteristic point of the equipment;
[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, 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:
[0023] According to the first energy consumption calibration curve of the equipment, obtaining the inflection point information of the calibration curve, wherein the inflection point information of the calibration curve includes the curve position information corresponding to each inflection point of the calibration curve;
[0024] Based on the inflection point information of the calibration curve, two inflection points of the calibration curve closest to the threshold value of the standard range of the first energy consumption of the equipment are used as the characteristic points of the first energy consumption of the equipment;
[0025] According to the first energy consumption characteristic point of the equipment, an energy consumption characteristic coefficient is obtained;
[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 is 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 ≤ 0.13, the first energy consumption characteristic point of the equipment is available;
[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 to obtain the equipment energy classification information specifically includes:
[0034] Based on the standard operating energy consumption data of the equipment, obtaining 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 demand, obtain the equipment energy consumption coordination index threshold;
[0037] According to the equipment energy consumption synergy index and the equipment energy consumption synergy index threshold, the industrial energy required by the industrial equipment is classified, and the equipment secondary energy information and equipment auxiliary energy information are obtained;
[0038] Obtaining equipment energy classification information according to equipment first energy information, equipment second energy information and equipment 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 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 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 the industrial equipment is abnormal based on the equipment energy classification information and the equipment historical energy consumption data specifically includes:
[0043] Based on the equipment energy classification information, obtaining the equipment first energy historical energy consumption data in the equipment historical energy consumption data;
[0044] According to the historical energy consumption data of the first energy source of the equipment, based on data visualization processing, the historical energy consumption extreme value point of the first energy source is obtained;
[0045] According to the historical energy consumption extreme value points of the first energy source and the historical energy consumption data of the equipment, the abnormal energy consumption index of the equipment is obtained;
[0046] According to the abnormal energy consumption index of equipment and the abnormal energy consumption index threshold of equipment, it is judged whether the energy consumption of industrial equipment is abnormal;
[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 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 the industrial equipment, and n is the total number of industrial energy types required by the industrial equipment.
[0052] Preferably, the adjusting of industrial energy consumption according to the industrial equipment tag information specifically includes:
[0053] Obtain information on industrial equipment production efficiency based on historical equipment energy consumption data;
[0054] Obtain industrial equipment load factor based on equipment historical 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] According to the industrial equipment load factor and the industrial equipment load factor threshold, determine whether to mark the industrial equipment; if the industrial equipment load factor is lower than the industrial equipment load factor threshold, mark the industrial equipment and obtain the industrial equipment marking information;
[0057] Obtain historical total energy consumption data of industrial energy;
[0058] Based on the historical energy consumption data of the 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] The industrial production process is adjusted 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, δsx 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;
[0065] The calculation formula of the industrial equipment load factor is:
[0066]
[0067] Where R is the industrial equipment load factor, 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 industrial energy required by the industrial equipment. If the xth industrial energy is the first 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 cost reduction method as described above, 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 according to the energy consumption characteristic coefficient, determine whether the energy consumption of the industrial equipment is abnormal according to the equipment energy consumption abnormality index and the equipment energy consumption abnormality index threshold, determine whether to mark the industrial equipment according to the industrial equipment load factor and the industrial equipment load factor threshold, determine whether the industrial energy consumption is abnormal according to the equipment historical energy consumption data and the industrial energy historical total 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 according to the first energy consumption calibration curve of the equipment, classify the industrial energy required by the industrial equipment according to the first energy consumption characteristic point of the equipment, obtain the equipment energy classification information, adjust the industrial equipment according to the historical energy consumption data of the equipment, mark the industrial equipment, obtain the industrial equipment marking information, re-plan the industrial equipment scheduling according to the industrial equipment marking information, and adjust the industrial production process;
[0070] An information acquisition module, the information acquisition module is used to acquire industrial energy information and industrial equipment information, industrial energy type information and industrial energy information required for each industrial equipment, and acquire industrial equipment parameter information, industrial equipment operation process information and industrial equipment workload information based on the industrial equipment information, and acquire 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, wherein the evaluation module is used to obtain an energy consumption characteristic coefficient according to 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, obtain an equipment energy consumption coordination index, obtain an equipment energy consumption abnormality index according to 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, the control unit is used to analyze industrial equipment parameters, obtain first energy information of the equipment, obtain first energy consumption characteristic points of the equipment according to a first energy consumption calibration curve of the equipment, classify industrial energy required by the industrial equipment according to the first energy consumption characteristic points of the equipment, obtain equipment energy classification information, adjust the industrial equipment according to historical energy consumption data of the equipment, mark the industrial equipment, obtain industrial equipment marking information, re-plan the industrial equipment scheduling according to 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, wherein the judgment unit is used to judge whether the first energy consumption characteristic point of the equipment is available according to the energy consumption characteristic coefficient, judge whether the energy consumption of the industrial equipment is abnormal according to the equipment energy consumption abnormality index and the equipment energy consumption abnormality index threshold, judge whether the industrial equipment is marked according to the industrial equipment load factor and the industrial equipment load factor threshold, and judge whether the industrial energy consumption is abnormal according to the equipment historical energy consumption data and the industrial energy historical total energy consumption data.
[0077] Optionally, the information acquisition module specifically includes:
[0078] a first acquisition unit, the first acquisition unit is used to acquire industrial energy information and industrial equipment information, industrial energy type information and industrial energy information required for each industrial equipment, and acquire industrial equipment parameter information, industrial equipment operation process information and industrial equipment workload information according to the industrial equipment information;
[0079] The second acquisition unit is used to acquire equipment standard operation energy consumption data, equipment historical energy consumption data, equipment historical energy consumption type information and equipment historical energy consumption information.
[0080] Optionally, the evaluation module specifically includes:
[0081] A data evaluation unit, the data evaluation unit is used to obtain an energy consumption characteristic coefficient according to 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 coordination 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 to 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 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. The equipment energy consumption anomaly index is used to evaluate the equipment operating status, and industrial energy anomalies are discovered in time, thereby improving energy utilization efficiency. The industrial equipment scheduling is re-planned through the industrial equipment load factor and the historical total industrial energy consumption data, thereby reducing energy waste, optimizing energy utilization, and ensuring sustainable development. BRIEF DESCRIPTION OF THE DRAWINGS
[0085] Figure 1 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 It is a flowchart for obtaining the marking information of industrial equipment in the present invention;
[0089] Figure 5 This is a structural block diagram of a comprehensive industrial energy cost reduction system based on data analysis proposed by the present invention. DETAILED DESCRIPTION
[0090] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think 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] Acquire 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] Acquire industrial equipment parameter information according to the industrial equipment information, wherein the industrial equipment parameter information includes industrial equipment operation process information and industrial equipment workload information;
[0094] Based on the industrial equipment parameter information, the industrial energy required by the industrial equipment is classified to obtain the 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] Acquire standard operation energy consumption data of equipment, wherein the standard operation energy consumption data of equipment represents energy consumption data of industrial equipment when operating at different powers under standard operation state;
[0098] According to the first energy information of the equipment and the energy consumption data of the equipment standard operation, based on data visualization processing, the energy consumption curve information of the first energy of the equipment is obtained;
[0099] Based on the analysis of the working content of the industrial equipment, obtaining a threshold value of a range of the first energy consumption standard of the equipment, wherein the threshold value of the range of the first energy consumption standard 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 threshold value of the energy consumption standard range 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] According to the first energy consumption calibration curve of the equipment, obtain the first energy consumption characteristic point of the equipment;
[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, the first energy consumption characteristic point of the device is obtained, which specifically includes:
[0104] According to the first energy consumption calibration curve of the equipment, obtaining the inflection point information of the calibration curve, wherein the inflection point information of the calibration curve includes the curve position information corresponding to each inflection point of the calibration curve;
[0105] Based on the inflection point information of the calibration curve, two inflection points of the calibration curve closest to the threshold value of the standard range of the first energy consumption of the equipment are used as the characteristic points of the first energy consumption of the equipment;
[0106] According to the first energy consumption characteristic point of the equipment, an energy consumption characteristic coefficient is obtained;
[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 is 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 ≤ 0.13, the first energy consumption characteristic point of the equipment is available;
[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 industrial equipment, that is, the main energy used by the industrial equipment is taken as the first energy of the equipment, for example, the first energy of the industrial power equipment is electricity, the first energy of the steam compression equipment is steam, the first energy of the 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 taken 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 taken as the first energy energy consumption characteristic points of the equipment, and 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, according to 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, obtaining 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 demand, obtain the equipment energy consumption coordination index threshold;
[0119] According to the equipment energy consumption synergy index and the equipment energy consumption synergy index threshold, the industrial energy required by the industrial equipment is classified, and the equipment secondary energy information and equipment auxiliary energy information are obtained;
[0120] Obtaining equipment energy classification information according to equipment first energy information, equipment second energy information and equipment 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 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 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 industrial equipment, the efficiency of industrial energy analysis 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] According to the equipment energy classification information and the equipment historical energy consumption data, determine whether the industrial equipment is abnormal. If so, adjust the industrial equipment according to the equipment historical energy consumption data. If not, the industrial equipment is working normally.
[0128] Specifically, based on the equipment energy classification information and equipment historical energy consumption data, determine whether industrial equipment has abnormalities, including:
[0129] Based on the equipment energy classification information, obtaining the equipment first energy historical energy consumption data in the equipment historical energy consumption data;
[0130] According to the historical energy consumption data of the first energy source of the equipment, based on data visualization processing, the historical energy consumption extreme value point of the first energy source is obtained;
[0131] According to the historical energy consumption extreme value points of the first energy source and the historical energy consumption data of the equipment, the abnormal energy consumption index of the equipment is obtained;
[0132] According to the abnormal energy consumption index of equipment and the abnormal energy consumption index threshold of equipment, it is judged whether the energy consumption of industrial equipment is abnormal;
[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 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 the industrial equipment, and n is the total number of industrial energy types required by the industrial equipment.
[0138] In this solution, the historical energy consumption data of the first energy of the equipment is used based on data visualization processing to obtain the extreme points of the historical energy consumption of the first energy. According to the extreme points of the historical energy consumption of the first energy and the historical energy consumption data of the equipment, the abnormal energy consumption index of the equipment is obtained. Through the abnormal energy consumption index of the equipment and the threshold of the abnormal energy consumption index, it is determined whether the energy consumption of the industrial equipment is abnormal, so as to evaluate the operating status of the equipment, discover abnormal industrial energy use in time, and improve energy utilization efficiency.
[0139] It is understandable that for the same industrial equipment, the industrial energy required by the industrial equipment affects each other. For example, for a steam compression device, the more steam energy the device requires, the more electrical energy is required to achieve steam compression. Therefore, based on the historical energy consumption value of the first energy source of the device, the historical energy consumption data of the device is analyzed to identify abnormal energy consumption of the device. In this embodiment, the threshold value of the abnormal energy consumption index of the device is
[0140] Based on the historical energy consumption data of the equipment, the 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 according to the industrial equipment marking information, including:
[0143] Obtain information on industrial equipment production efficiency based on historical equipment energy consumption data;
[0144] Obtain industrial equipment load factor based on equipment historical 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] According to the industrial equipment load factor and the industrial equipment load factor threshold, determine whether to mark the industrial equipment; if the industrial equipment load factor is lower than the industrial equipment load factor threshold, mark the industrial equipment and obtain the industrial equipment marking information;
[0147] Obtain historical total energy consumption data of industrial energy;
[0148] Based on the historical energy consumption data of the 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] The industrial production process is adjusted 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 industrial equipment load factor, 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 industrial energy required by the industrial equipment. If the xth industrial energy is the first 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, the load coefficient of industrial equipment and the load coefficient threshold of industrial equipment are used to determine whether to mark the industrial equipment. It can be understood that the normal energy consumption status of the industrial equipment does not mean that the operation status of the industrial equipment in the entire production system is normal. For example, when the front process is not completed, the industrial equipment is in standby mode, or the production scheduling efficiency is low, resulting in the load of the industrial equipment being too low or too high. Therefore, the industrial equipment load coefficient is used to mark the equipment with abnormal load. The historical energy consumption data of the equipment and the historical total energy consumption data of industrial energy are used to determine whether the industrial energy consumption is abnormal, thereby reducing energy waste, optimizing energy use, and ensuring sustainable development.
[0159] It should be noted that although the energy consumption of a single device is normal, some links in the entire production process may not be well coordinated, resulting in excessive total energy consumption. For example, some links in the production process require a large amount of energy input, but their output is not high, resulting in excessive overall energy consumption, or the operation time of the equipment is not scientific, resulting in some equipment being overloaded while other equipment is idle or inefficiently running. In this embodiment, the industrial equipment load factor threshold is the total industrial energy consumption under the standard operation state of the industrial equipment.
[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 according to the energy consumption characteristic coefficient, determine whether the energy consumption of the industrial equipment is abnormal according to the equipment energy consumption abnormality index and the equipment energy consumption abnormality index threshold, determine whether to mark the industrial equipment according to the industrial equipment load factor and the industrial equipment load factor threshold, determine whether the industrial energy consumption is abnormal according to the equipment historical energy consumption data and the industrial energy historical total 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 according to the first energy consumption calibration curve of the equipment, classify the industrial energy required by the industrial equipment according to the first energy consumption characteristic point of the equipment, obtain the equipment energy classification information, adjust the industrial equipment according to the historical energy consumption data of the equipment, mark the industrial equipment, obtain the industrial equipment marking information, re-plan the industrial equipment scheduling according to the industrial equipment marking information, and adjust the industrial production process;
[0162] An information acquisition module, the information acquisition module is used to acquire industrial energy information and industrial equipment information, industrial energy type information and industrial energy information required for each industrial equipment, and acquire industrial equipment parameter information, industrial equipment operation process information and industrial equipment workload information based on the industrial equipment information, and acquire 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, wherein the evaluation module is used to obtain an energy consumption characteristic coefficient according to 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, obtain an equipment energy consumption coordination index, obtain an equipment energy consumption abnormality index according to 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, including:
[0166] A control unit, the control unit is used to analyze industrial equipment parameters, obtain first energy information of the equipment, obtain first energy consumption characteristic points of the equipment according to a first energy consumption calibration curve of the equipment, classify industrial energy required by the industrial equipment according to the first energy consumption characteristic points of the equipment, obtain equipment energy classification information, adjust the industrial equipment according to historical energy consumption data of the equipment, mark the industrial equipment, obtain industrial equipment marking information, re-plan the industrial equipment scheduling according to 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, wherein the judgment unit is used to judge whether the first energy consumption characteristic point of the equipment is available according to the energy consumption characteristic coefficient, judge whether the energy consumption of the industrial equipment is abnormal according to the equipment energy consumption abnormality index and the equipment energy consumption abnormality index threshold, judge whether the industrial equipment is marked according to the industrial equipment load factor and the industrial equipment load factor threshold, and judge whether the industrial energy consumption is abnormal according to the equipment historical energy consumption data and the industrial energy historical total energy consumption data.
[0169] Information acquisition module, specifically including:
[0170] a first acquisition unit, the first acquisition unit is used to acquire industrial energy information and industrial equipment information, industrial energy type information and industrial energy information required for each industrial equipment, and acquire industrial equipment parameter information, industrial equipment operation process information and industrial equipment workload information according to the industrial equipment information;
[0171] The second acquisition unit is used to acquire equipment standard operation energy consumption data, equipment historical energy consumption data, equipment historical energy consumption type information and equipment historical energy consumption information.
[0172] Assessment modules include:
[0173] A data evaluation unit, the data evaluation unit is used to obtain an energy consumption characteristic coefficient according to 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 coordination 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 to obtain the industrial equipment load factor based on the equipment historical energy consumption data and industrial equipment production efficiency information.
[0175] In summary, the advantages of the present invention are: by analyzing the parameters of industrial equipment, the first energy information of the equipment is obtained, and the energy consumption characteristic points of the first energy of the equipment are obtained through the first energy information of the equipment. The energy consumption characteristic coefficient is used to evaluate the energy consumption characteristic points of the first energy of the equipment, thereby ensuring the accuracy and reliability of the data; by analyzing the equipment operation energy consumption data corresponding to the energy consumption characteristic points of the first energy 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 the 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 abnormality index is obtained; through the equipment energy consumption abnormality index, the equipment operation status is evaluated, the industrial energy abnormality is discovered in time, and the energy use efficiency is improved; through the equipment historical energy consumption data and the industrial equipment production efficiency information, the industrial equipment load factor is obtained; through the industrial equipment load factor and the historical total energy consumption data of industrial energy, the industrial equipment scheduling is re-planned to reduce energy waste, optimize energy use, and ensure sustainable development.
[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 only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.
Claims
1. A comprehensive cost reduction method for industrial energy based on data analysis, characterized in that: include: Acquire 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; Acquire industrial equipment parameter information according to the industrial equipment information, wherein the industrial equipment parameter information includes industrial equipment operation process information and industrial equipment workload information; Based on the industrial equipment parameter information, the industrial energy required by the industrial equipment is classified to obtain the 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; According to the equipment energy classification information and the equipment historical energy consumption data, determine whether the industrial equipment is abnormal. If so, adjust the industrial equipment according to the equipment historical energy consumption data. If not, the industrial equipment is working normally. Based on the historical energy consumption data of the equipment, the industrial equipment is marked and the marking information of the industrial equipment is obtained; Adjust industrial energy consumption based on industrial equipment marking information.
2. The method for comprehensive cost reduction of industrial energy based on data analysis according to claim 1 is characterized in that: The industrial energy required by the industrial equipment is classified to obtain equipment energy classification information, specifically including: 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; Acquire standard operation energy consumption data of equipment, wherein the standard operation energy consumption data of equipment represents energy consumption data of industrial equipment when operating at different powers under standard operation state; According to the first energy information of the equipment and the energy consumption data of the equipment standard operation, based on data visualization processing, the energy consumption curve information of the first energy of the equipment is obtained; Based on the analysis of the working content of the industrial equipment, obtaining the threshold value of the first energy consumption standard range of the equipment, wherein the threshold value of the first energy consumption standard range of the equipment includes the minimum threshold value of the first energy consumption standard of the equipment and the 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 threshold value of the energy consumption standard range 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; According to the first energy consumption calibration curve of the equipment, obtain the first energy consumption characteristic point of the equipment; 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 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: According to the first energy consumption calibration curve of the equipment, obtaining the inflection point information of the calibration curve, wherein the inflection point information of the calibration curve includes the curve position information corresponding to each inflection point of the calibration curve; Based on the inflection point information of the calibration curve, two inflection points of the calibration curve closest to the threshold value of the standard range of the first energy consumption of the equipment are used as the characteristic points of the first energy consumption of the equipment; According to the first energy consumption characteristic point of the equipment, an energy consumption characteristic coefficient is obtained; 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 is 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 ≤ 0.13, the first energy consumption characteristic point of the equipment is available; 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 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, obtaining 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 demand, obtain the equipment energy consumption coordination index threshold; According to the equipment energy consumption synergy index and the equipment energy consumption synergy index threshold, the industrial energy required by the industrial equipment is classified, and the equipment secondary energy information and equipment auxiliary energy information are obtained; Obtaining equipment energy classification information according to equipment first energy information, equipment second energy information and equipment 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 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 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 based on data analysis according to claim 1 is characterized in that: The determining whether the industrial equipment is abnormal based on the equipment energy classification information and the equipment historical energy consumption data specifically includes: Based on the equipment energy classification information, obtaining the equipment first energy historical energy consumption data in the equipment historical energy consumption data; According to the historical energy consumption data of the first energy source of the equipment, based on data visualization processing, the historical energy consumption extreme value point of the first energy source is obtained; According to the historical energy consumption extreme value points of the first energy source and the historical energy consumption data of the equipment, the abnormal energy consumption index of the equipment is obtained; According to the abnormal energy consumption index of equipment and the abnormal energy consumption index threshold of equipment, it is judged whether the energy consumption of industrial equipment is abnormal; 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 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 the industrial equipment, and n is the total number of industrial energy types required by the industrial equipment.
6. The method for comprehensive cost reduction of industrial energy 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 information on industrial equipment production efficiency based on historical equipment energy consumption data; Obtain industrial equipment load factor based on equipment historical 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; According to the industrial equipment load factor and the industrial equipment load factor threshold, determine whether to mark the industrial equipment; if the industrial equipment load factor is lower than the industrial equipment load factor threshold, mark the industrial equipment and obtain the industrial equipment marking information; Obtain historical total energy consumption data of industrial energy; 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 The industrial production process is adjusted 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 industrial equipment load factor, 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 industrial energy required by the industrial equipment. If the xth industrial energy is the first 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.
7. A comprehensive cost reduction system for industrial energy based on data analysis, used to implement the cost reduction method according to any one of claims 1 to 6, 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 according to the energy consumption characteristic coefficient, determine whether the energy consumption of the industrial equipment is abnormal according to the equipment energy consumption abnormality index and the equipment energy consumption abnormality index threshold, determine whether to mark the industrial equipment according to the industrial equipment load factor and the industrial equipment load factor threshold, determine whether the industrial energy consumption is abnormal according to the equipment historical energy consumption data and the industrial energy historical total 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 according to the first energy consumption calibration curve of the equipment, classify the industrial energy required by the industrial equipment according to the first energy consumption characteristic point of the equipment, obtain the equipment energy classification information, adjust the industrial equipment according to the historical energy consumption data of the equipment, mark the industrial equipment, obtain the industrial equipment marking information, re-plan the industrial equipment scheduling according to the industrial equipment marking information, and adjust the industrial production process; An information acquisition module, the information acquisition module is used to acquire industrial energy information and industrial equipment information, industrial energy type information and industrial energy information required for each industrial equipment, and acquire industrial equipment parameter information, industrial equipment operation process information and industrial equipment workload information based on the industrial equipment information, and acquire 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, wherein the evaluation module is used to obtain an energy consumption characteristic coefficient according to 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, obtain an equipment energy consumption coordination index, obtain an equipment energy consumption abnormality index according to 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.
8. The system for comprehensive cost reduction of industrial energy consumption based on data analysis according to claim 7 is characterized in that: The main control module specifically includes: A control unit, the control unit is used to analyze industrial equipment parameters, obtain first energy information of the equipment, obtain first energy consumption characteristic points of the equipment according to a first energy consumption calibration curve of the equipment, classify industrial energy required by the industrial equipment according to the first energy consumption characteristic points of the equipment, obtain equipment energy classification information, adjust the industrial equipment according to historical energy consumption data of the equipment, mark the industrial equipment, obtain industrial equipment marking information, re-plan the industrial equipment scheduling according to 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, wherein the 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 the 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 industrial energy historical total energy consumption data.
9. The system for comprehensive cost reduction of industrial energy consumption based on data analysis according to claim 7 is characterized in that: The information acquisition module specifically includes: a first acquisition unit, the first acquisition unit is used to acquire industrial energy information and industrial equipment information, industrial energy type information and industrial energy information required for each industrial equipment, and acquire industrial equipment parameter information, industrial equipment operation process information and industrial equipment workload information according to the industrial equipment information; The second acquisition unit is used to acquire equipment standard operation energy consumption data, equipment historical energy consumption data, equipment historical energy consumption type information and equipment historical energy consumption information.
10. The system for comprehensive cost reduction of industrial energy consumption based on data analysis according to claim 7 is characterized in that: The evaluation module specifically includes: A data evaluation unit, the data evaluation unit is used to obtain an energy consumption characteristic coefficient according to 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 coordination 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 to obtain the industrial equipment load factor based on the equipment historical energy consumption data and industrial equipment production efficiency information.
Citation Information
Patent Citations
Comprehensive energy consumption monitoring management system
CN116070967A
Industrial equipment energy consumption monitoring method and device, electronic equipment and storage medium
CN116542538A
Factory energy consumption management method based on data analysis
CN117093823A
Energy monitoring method and system based on Internet of Things architecture, and storage medium
CN118034167A
Industrial production process energy consumption intelligent prediction system and prediction algorithm thereof
CN118133017A