CN114169637B - Energy-saving optimization evaluation system - Google Patents

Energy-saving optimization evaluation system Download PDF

Info

Publication number
CN114169637B
CN114169637B CN202111574492.1A CN202111574492A CN114169637B CN 114169637 B CN114169637 B CN 114169637B CN 202111574492 A CN202111574492 A CN 202111574492A CN 114169637 B CN114169637 B CN 114169637B
Authority
CN
China
Prior art keywords
energy consumption
actual
standard
load
module
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202111574492.1A
Other languages
Chinese (zh)
Other versions
CN114169637A (en
Inventor
唐斌
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Tianna Energy Technology Shanghai Co ltd
Original Assignee
Tianna Energy Technology Shanghai Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Tianna Energy Technology Shanghai Co ltd filed Critical Tianna Energy Technology Shanghai Co ltd
Priority to CN202111574492.1A priority Critical patent/CN114169637B/en
Publication of CN114169637A publication Critical patent/CN114169637A/en
Application granted granted Critical
Publication of CN114169637B publication Critical patent/CN114169637B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06316—Sequencing of tasks or work
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0633—Workflow analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/04—Manufacturing
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P80/00—Climate change mitigation technologies for sector-wide applications
    • Y02P80/10—Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/80—Management or planning
    • Y02P90/82—Energy audits or management systems therefor

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Strategic Management (AREA)
  • Economics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Marketing (AREA)
  • General Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Tourism & Hospitality (AREA)
  • Development Economics (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • Game Theory and Decision Science (AREA)
  • Educational Administration (AREA)
  • Manufacturing & Machinery (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Air Conditioning Control Device (AREA)

Abstract

The invention relates to an energy-saving optimization evaluation system, which comprises: the acquisition module is used for acquiring the operation data; the generating module is used for generating a corresponding curve image according to the operation data acquired by the acquiring module, wherein the curve image comprises a standard load energy consumption curve and an actual load energy consumption curve which are respectively drawn by the generating module according to the operation data before evaluation and the operation data during evaluation; the correction module comprises at least one correction unit and is used for correcting the standard load energy consumption curve according to the operation data in the evaluation acquired by the acquisition module; and the comparison module is connected with the correction module and comprises at least one comparison unit for comparing the actual load energy consumption curve with the corrected standard load energy consumption curve to generate corresponding energy-saving optimization evaluation.

Description

Energy-saving optimization evaluation system
Technical Field
The invention relates to the technical field of energy-saving optimization, in particular to an energy-saving optimization evaluation system.
Background
Energy conservation and emission reduction are important points of enterprises in the updating and modification of production lines. In energy utilization equipment management after transformation of an enterprise, an evaluation system capable of evaluating transformation effects in terms of energy consumption is often lacked, the evaluation system is often involved in fuzzy evaluation by feeling, and in the prior art, when energy-saving optimization evaluation is performed, a corresponding standard load energy consumption curve cannot be selected according to actual load energy consumption conditions of actual production line equipment to perform energy-saving optimization evaluation, so that the evaluation result is inaccurate.
Disclosure of Invention
Therefore, the invention provides an energy-saving optimization evaluation system which is used for solving the problem that in the prior art, a corresponding standard load energy consumption curve cannot be selected according to the actual load energy consumption condition of actual production line equipment to carry out energy-saving optimization evaluation.
In order to achieve the above object, the present invention provides an energy-saving optimization evaluation system, including:
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module comprises at least one acquisition unit and is used for acquiring operation data, and the operation data comprises pre-evaluation operation data and in-evaluation operation data;
the generating module is connected with the acquiring module and comprises at least one generating unit used for generating a corresponding curve image according to the operation data acquired by the acquiring module, wherein the curve image comprises a standard load energy consumption curve and an actual load energy consumption curve which are respectively drawn by the generating module according to the operation data before evaluation and the operation data during evaluation;
a modification module connected to the generation module and including at least one modification unit for modifying the standard load energy consumption curve according to the evaluation running data acquired by the acquisition module, wherein when the modification module modifies the standard load energy consumption curve, the modification module calculates an actual deviation degree and compares the actual deviation degree with a preset deviation degree, if the modification module determines that the actual deviation degree is smaller than the preset deviation degree, the modification module does not modify the standard load energy consumption curve, if the modification module determines that the actual deviation degree is within a preset value range, the modification module secondarily determines whether the actual deviation degree meets a standard in combination with an actual deviation trend, and when the actual deviation degree does not meet the standard, the modification module finely adjusts the standard load energy consumption curve, and if the modification module determines that the actual deviation degree is greater than the preset deviation degree, the correction module corrects the standard load energy consumption curve;
and the comparison module is connected with the correction module and comprises at least one comparison unit for comparing the actual load energy consumption curve with the corrected standard load energy consumption curve so as to generate corresponding energy-saving optimization evaluation.
Further, the curve image further comprises an actual time energy consumption curve of any load drawn by the generation module according to the operation data in the evaluation, the correction module calculates an actual deviation degree S of the corresponding load according to the actual time energy consumption curve of any load, compares the actual deviation degree S with a preset deviation degree S0, and judges whether to correct the standard load energy consumption curve according to a comparison result;
the preset deviation degrees comprise a first preset deviation degree S1 and a second preset deviation degree S2, wherein S1 is less than S2;
when S is less than S1, the correction module judges that the actual deviation degree meets the standard and does not need to correct the numerical value of the corresponding load in the standard load energy consumption curve;
when S1 is not less than S2, the correction module determines whether the actual deviation degree meets the standard or not by combining the actual deviation trend for twice;
and when S is larger than S2, the correction module judges that the actual deviation degree does not meet the standard, and the numerical value of the corresponding load in the standard load energy consumption curve needs to be corrected.
Further, when the correction module determines that the value of the corresponding load in the standard load energy consumption curve needs to be corrected, the correction module selects a corresponding correction mode according to an area a1 enclosed above a reference line and an area a2 enclosed below the reference line of the actual time energy consumption curve, wherein the reference line is an energy consumption value B0 corresponding to any load in the standard load energy consumption curve, and a1 is less than a 2;
when A1 is greater than A2, the correction module judges that the actual energy consumption value is greater than an energy consumption value B0 corresponding to the standard load energy consumption curve, the correction module marks the actual energy consumption value as B1 and corrects the energy consumption value corresponding to the standard load energy consumption curve to B1, and B1 is set to be B x (1+ (A1-A2)/(A1+ A2));
when a1 is equal to a2, the correcting module needs to finely adjust the actual energy consumption value, the correcting module marks the finely adjusted actual energy consumption value as B2, corrects the energy consumption value corresponding to the standard load energy consumption curve to B2, and sets B2 to be equal to B0 x K, wherein K is a fine adjustment coefficient;
when a1 < a2, the correction module determines that the actual energy consumption value is less than the energy consumption value B0 corresponding to the standard load energy consumption curve, the correction module records the actual energy consumption value as B3, corrects the energy consumption value corresponding to the standard load energy consumption curve to B3, and sets B3 to bx (1+ (a2-a1)/(a1+ a 2)).
Further, the correction module selects a corresponding fine tuning coefficient K based on the number of peaks Q1 above the reference line and the number of valleys Q2 below the reference line in the actual time power consumption curve, where K is set to 1.02 x (Q1/Q2).
Further, the value range of the fine adjustment coefficient K is 0.958-1.134.
Further, when the correction module determines that the energy consumption value corresponding to the standard load energy consumption curve needs to be corrected to B1, the correction module calculates a slope R of each peak in the actual curve, compares the actual slope R of each peak with a preset peak slope R0 in sequence, and determines whether the energy consumption change is standard according to the comparison result, wherein R0 is 1.83;
when R is larger than R0, the correction module judges that the peak slope does not meet the standard and records the number R of the peak slopes which do not meet the standard;
when R is less than or equal to R0, the correction module judges that the peak slope meets the standard.
Further, when the correction module completes the calculation of the number of the unqualified peak slopes, the correction module compares the number r of the unqualified actual peak slopes with the number Q1 of the peaks, when the ratio of the number r of the unqualified peak slopes is greater than or equal to 85%, the correction module judges that the running data is abnormal, the acquisition module acquires the running data in evaluation again, and when the ratio of the number r of the unqualified peak slopes is less than 85%, the correction module corrects the energy consumption value corresponding to the standard load energy consumption curve to B1.
Further, when the correction module determines whether the actual deviation degree meets the standard or not by combining the actual deviation trend secondary judgment, the correction module calculates the actual deviation trend F, and sets F to be Xi-1, when F is less than 0.76, the correction module secondarily judges that the actual deviation degree does not meet the standard, when F is greater than or equal to 0.76, the correction module secondarily judges that the actual deviation degree meets the standard, wherein i represents the number of peaks in the actual time energy consumption curve, i is greater than or equal to 3, Xi represents the X-axis coordinate of the peak of the ith peak, and Xi-1 represents the X-axis coordinate of the peak of the adjacent peak on the left side.
Further, the correcting module secondarily judges that the actual deviation degree does not meet the standard, the correcting module corrects the value of the corresponding load in the standard load energy consumption curve, records the corrected actual energy consumption value as B4, corrects the energy consumption value corresponding to the standard load energy consumption curve to B4, and sets B4 as B0 x 1.013.
Further, the calculation formula of the actual time energy consumption curve of any load for calculating the actual deviation degree S of the corresponding load is as follows,
S＝((Y1-Y0)+(Y2-Y0)+……+(Yj-Y0)) 2 ；
wherein, Y1 is the actual energy consumption value at the 1 st moment under any load in the actual time energy consumption curve, Yj is the energy consumption value at the j th moment under any load in the actual time energy consumption curve, and Y0 is the energy consumption value corresponding to any load in the standard load energy consumption curve.
Compared with the prior art, the invention has the advantages that the acquisition module can acquire the operation data before evaluation and the operation data in evaluation in real time, the generation module can draw a standard load energy consumption curve according to the operation data before evaluation, and simultaneously draw an actual load energy consumption curve and an actual time energy consumption curve corresponding to any load according to the operation data in evaluation, when the correction module carries out energy-saving evaluation, the correction module can correct the energy consumption value corresponding to any load in the standard load energy consumption curve according to the actual time energy consumption curve corresponding to any load, on one hand, the correction module reads the actual time energy consumption curve to calculate the actual deviation degree, the actual energy consumption condition under different loads can be accurately mastered, the standard load energy consumption curve can be accurately corrected, on the other hand, the standard load energy consumption curve can be updated in real time through the correction of the standard load energy consumption curve by the correction module, so that the accuracy of the system in energy-saving evaluation is ensured, and the accuracy of the energy-saving evaluation is improved.
Furthermore, the invention specifically sets two preset deviation degrees, the correction module compares the actual deviation degrees with the preset values respectively, when the actual deviation degrees are smaller than the preset values, the correction module judges that the energy consumption value under any load does not fluctuate and does not need to correct the energy consumption value of any load in the standard load energy consumption curve, when the actual deviation degrees are within the preset value range, the correction module judges whether the actual deviation degrees meet the standard or not by combining the deviation trends for correcting the more accurate standard load energy consumption curve, when the actual deviation degrees are larger than the preset values, the correction module judges that the energy consumption value under any load fluctuates and needs to correct the energy consumption value of any load in the standard load energy consumption curve, and by accurate comparison and correction of the correction module, the standard load energy consumption curve can be corrected in real time, thereby ensuring the accuracy of the system in energy conservation evaluation, and further, the energy-saving evaluation accuracy is improved.
Further, the modification module of the present invention performs an accurate selection of a modification manner by obtaining an area a1 enclosed above the reference line and an area a2 enclosed below the reference line in the actual time energy consumption curve, when the area above the reference line is larger than the area below the reference line, the modification module determines that the actual energy consumption value of any load is larger than the energy consumption value corresponding to the standard load energy consumption curve, the modification module increases the energy consumption value of any load in the standard load energy consumption curve to the actual energy consumption value, when the area above the reference line is equal to the area below the reference line, the modification module finely adjusts the actual energy consumption value of any load corresponding to the standard load energy consumption curve, when the area above the reference line is smaller than the area below the reference line, the modification module determines that the actual energy consumption value of any load is smaller than the energy consumption value corresponding to the standard load energy consumption curve, the energy consumption value of any load in the standard load energy consumption curve is reduced to the actual energy consumption value by the correction module, the standard load energy consumption curve is corrected accurately by the correction module, and the standard load energy consumption curve can be further corrected in real time, so that the accuracy of the system in energy-saving evaluation is ensured, and the energy-saving evaluation accuracy is improved.
Furthermore, when the trimming coefficient K is used for trimming the standard load energy consumption curve, the trimming module can ensure that the standard load energy consumption curve can be trimmed within a reasonable range by limiting the value range of the trimming coefficient, so that the accuracy of trimming the standard load energy consumption curve is ensured, the accuracy of the system is further ensured when energy-saving evaluation is performed, and the accuracy of energy-saving evaluation is further improved.
Furthermore, when the energy consumption value corresponding to any load in the standard load energy consumption curve is increased, the slope of the wave crest in the real-time energy consumption curve is read, so that whether the change of any load in the actual time energy consumption curve is reasonable or not is accurately mastered, and when the change does not meet the standard, the number of the wave crests which do not meet the mark is recorded through the correction module, so that the change condition of any load in the actual time energy consumption curve can be mastered in real time, the standard load energy consumption curve is corrected more accurately, the accuracy of the system in energy conservation evaluation is further ensured, and the energy conservation evaluation accuracy is further improved.
Furthermore, the number of the peak slopes which do not meet the standard is calculated through the correction module, the accuracy of the acquisition module for acquiring the data in the evaluation can be effectively mastered, when the proportion of the number of the peak slopes which do not meet the standard is too large, the acquisition module acquires the running data in the evaluation again, and the accuracy of the data in the evaluation can be effectively mastered, so that the authenticity of an actual load energy consumption curve and an actual time energy consumption curve is ensured, the correction module corrects the standard load energy consumption curve accurately, the standard load energy consumption curve is corrected more accurately, the accuracy of the system in energy-saving evaluation is ensured, and the energy-saving evaluation accuracy is improved.
Furthermore, when the correction module performs secondary judgment on the actual deviation degree by combining the actual deviation trend, the actual deviation trend is calculated by calculating the vertex coordinates between adjacent wave crests, when the distance between the vertex coordinates between the adjacent wave crests is shorter, the correction module judges that any load has fluctuation change in the energy consumption curve in the actual time, and corrects the energy consumption value of any load corresponding to the standard load energy consumption curve, so that the data accuracy in the standard load energy consumption curve is effectively ensured, the standard load energy consumption curve is corrected more accurately, the accuracy of the system in energy conservation evaluation is further ensured, and the energy conservation evaluation accuracy is further improved.
Drawings
FIG. 1 is a schematic structural diagram of an energy-saving optimization evaluation system according to the present invention;
Detailed Description
In order that the objects and advantages of the invention will be more clearly understood, the invention is further described in conjunction with the following examples; it should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only for explaining the technical principle of the present invention, and do not limit the scope of the present invention.
It should be noted that in the description of the present invention, the terms of direction or positional relationship indicated by the terms "upper", "lower", "left", "right", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings, which are only for convenience of description, and do not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
Referring to fig. 1, a schematic structural diagram of the energy-saving optimization evaluation system according to an embodiment of the present invention includes:
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module comprises at least one acquisition unit and is used for acquiring operation data, and the operation data comprises pre-evaluation operation data and in-evaluation operation data;
the generating module is connected with the acquiring module and comprises at least one generating unit used for generating a corresponding curve image according to the operation data acquired by the acquiring module, wherein the curve image comprises a standard load energy consumption curve and an actual load energy consumption curve which are respectively drawn by the generating module according to the operation data before evaluation and the operation data during evaluation;
a correction module connected to the generation module and including at least one correction unit for correcting the standard load energy consumption curve according to the evaluation running data acquired by the acquisition module, wherein when the correction module corrects the standard load energy consumption curve, the correction module calculates an actual deviation degree and compares the actual deviation degree with a preset deviation degree, if the correction module determines that the actual deviation degree is smaller than the preset deviation degree, the correction module does not correct the standard load energy consumption curve, if the correction module determines that the actual deviation degree is within a preset value range, the correction module secondarily determines whether the actual deviation degree meets a standard according to an actual deviation trend, and when the actual deviation degree does not meet the standard, the correction module finely adjusts the standard load energy consumption curve, if the correction module determines that the actual deviation degree is greater than the preset deviation degree, the correction module corrects the standard load energy consumption curve;
and the comparison module is connected with the correction module and comprises at least one comparison unit for comparing the actual load energy consumption curve with the corrected standard load energy consumption curve so as to generate corresponding energy-saving optimization evaluation.
Specifically, in the embodiment of the present invention, the obtaining module may obtain the operation data before evaluation and the operation data during evaluation in real time, the generating module may draw a standard load energy consumption curve according to the operation data before evaluation, and at the same time, draw an actual load energy consumption curve and an actual time energy consumption curve corresponding to any load according to the operation data during evaluation, and when the modifying module performs energy saving evaluation, the modifying module may modify an energy consumption value corresponding to any load in the standard load energy consumption curve according to the actual time energy consumption curve corresponding to any load, on one hand, the modifying module reads the actual time energy consumption curve to calculate an actual deviation degree, may accurately grasp actual energy consumption conditions under different loads, may accurately modify the standard load energy consumption curve, on the other hand, the modifying module modifies the standard load energy consumption curve, the standard load energy consumption curve can be updated in real time, so that the accuracy of the system in energy-saving evaluation is ensured, and the energy-saving evaluation accuracy is improved.
Specifically, the curve image further includes an actual time energy consumption curve of any load drawn by the generation module according to the operation data in the evaluation, the correction module calculates an actual deviation degree S of the corresponding load according to the actual time energy consumption curve of any load, compares the actual deviation degree S with a preset deviation degree S0, and determines whether to correct the standard load energy consumption curve according to the comparison result;
the preset deviation degrees comprise a first preset deviation degree S1 and a second preset deviation degree S2, wherein S1 is less than S2;
when S is less than S1, the correction module judges that the actual deviation degree meets the standard and does not need to correct the numerical value of the corresponding load in the standard load energy consumption curve;
when S1 is not less than S2, the correction module determines whether the actual deviation degree meets the standard or not by combining the actual deviation trend for twice;
and when S is larger than S2, the correction module judges that the actual deviation degree does not meet the standard, and the numerical value of the corresponding load in the standard load energy consumption curve needs to be corrected.
Specifically, the embodiment of the invention specifically sets two preset deviation degrees, the correction module compares the actual deviation degrees with the preset values respectively, when the actual deviation degrees are smaller than the preset values, the correction module judges that the energy consumption value under any load does not fluctuate and does not need to correct the energy consumption value of any load in the standard load energy consumption curve, when the actual deviation degrees are within the preset value range, the correction module judges whether the actual deviation degrees accord with the standard or not in a secondary mode by combining the deviation trends, so that the correction can be carried out on the more accurate standard load energy consumption curve, when the actual deviation degrees are larger than the preset values, the correction module judges that the energy consumption value under any load fluctuates and the correction module needs to correct the energy consumption value of any load in the standard load energy consumption curve, and the standard load energy consumption curve can be corrected in real time through the accurate comparison and correction of the correction module, therefore, the accuracy of the system in energy-saving evaluation is ensured, and the accuracy of energy-saving evaluation is improved.
Specifically, when the correction module determines that the value of the corresponding load in the standard load energy consumption curve needs to be corrected, the correction module selects a corresponding correction mode according to an area a1 enclosed above a reference line and an area a2 enclosed below the reference line of the actual time energy consumption curve, wherein the reference line is an energy consumption value B0 corresponding to any load in the standard load energy consumption curve, and a1 is less than a 2;
when A1 is greater than A2, the correction module judges that the actual energy consumption value is greater than an energy consumption value B0 corresponding to the standard load energy consumption curve, the correction module marks the actual energy consumption value as B1 and corrects the energy consumption value corresponding to the standard load energy consumption curve to B1, and B1 is set to be B x (1+ (A1-A2)/(A1+ A2));
when a1 is equal to a2, the correcting module needs to finely adjust the actual energy consumption value, the correcting module marks the finely adjusted actual energy consumption value as B2, corrects the energy consumption value corresponding to the standard load energy consumption curve to B2, and sets B2 to be equal to B0 x K, wherein K is a fine adjustment coefficient;
when a1 < a2, the modifying module determines that the actual energy consumption value is less than the energy consumption value B0 corresponding to the standard load energy consumption curve, the modifying module records the actual energy consumption value as B3 and modifies the energy consumption value corresponding to the standard load energy consumption curve to B3, setting B3 to B x (1+ (a2-a1)/(a1+ a 2)).
Specifically, the modification module in the embodiment of the present invention performs accurate selection of a modification manner by acquiring an area a1 enclosed above a reference line and an area a2 enclosed below the reference line in an actual time energy consumption curve, when the area above the reference line is greater than the area below the reference line, the modification module determines that an actual energy consumption value of any load is greater than an energy consumption value corresponding to the standard load energy consumption curve, increases the energy consumption value of any load in the standard load energy consumption curve to the actual energy consumption value, when the area above the reference line is equal to the area below the reference line, the modification module finely adjusts the actual energy consumption value of any load corresponding to the standard load energy consumption curve, when the area above the reference line is less than the area below the reference line, the modification module determines that the actual energy consumption value of any load is less than the energy consumption value corresponding to the standard load energy consumption curve, the energy consumption value of any load in the standard load energy consumption curve is reduced to the actual energy consumption value by the correction module, the standard load energy consumption curve is corrected accurately by the correction module, and the standard load energy consumption curve can be further corrected in real time, so that the accuracy of the system in energy-saving evaluation is ensured, and the energy-saving evaluation accuracy is improved.
Specifically, the correction module selects a corresponding fine tuning coefficient K based on the number of peaks Q1 above the reference line and the number of valleys Q2 below the reference line in the actual time power consumption curve, setting K to 1.02 x (Q1/Q2).
Specifically, the value range of the fine adjustment coefficient K is 0.958-1.134.
Specifically, when the fine tuning coefficient K is used for correcting the standard load energy consumption curve, the correction module in the embodiment of the invention can ensure that the standard load energy consumption curve is corrected within a reasonable range by limiting the value range of the fine tuning coefficient, so that the accuracy of correcting the standard load energy consumption curve is ensured, the accuracy of the system in energy saving evaluation is further ensured, and the accuracy of energy saving evaluation is further improved.
Specifically, when the correction module determines that the energy consumption value corresponding to the standard load energy consumption curve needs to be corrected to B1, the correction module calculates the slope R of each peak in the actual curve, compares the actual slope R of each peak with a preset peak slope R0 in sequence, and determines whether the energy consumption change is standard according to the comparison result, wherein R0 is 1.83;
when R is larger than R0, the correction module judges that the peak slope does not meet the standard and records the number R of the peak slopes which do not meet the standard;
when R is less than or equal to R0, the correction module judges that the crest slope meets the standard.
Specifically, when the energy consumption value corresponding to any load in the standard load energy consumption curve is increased, the slope of the peak in the real-time energy consumption curve is read, so that whether the change of any load in the actual time energy consumption curve is reasonable or not is accurately mastered, and when the change does not meet the standard, the number of the peaks which do not meet the mark is recorded through the correction module, so that the change condition of any load in the actual time energy consumption curve can be mastered in real time, the standard load energy consumption curve is corrected more accurately, the accuracy of the system in energy saving evaluation is guaranteed, and the accuracy of the energy saving evaluation is improved.
Specifically, when the correction module completes the calculation of the number of the unqualified peak slopes, the correction module compares the number r of the unqualified actual peak slopes with the number Q1 of the peaks, when the ratio of the number r of the unqualified peak slopes is greater than or equal to 85%, the correction module judges that the running data is abnormal, the acquisition module acquires the running data in evaluation again, and when the ratio of the number r of the unqualified peak slopes is less than 85%, the correction module corrects the energy consumption value corresponding to the standard load energy consumption curve to B1.
Specifically, the embodiment of the invention calculates the number of the peak slopes which do not meet the standard through the correction module, can effectively master the accuracy of the acquisition module for acquiring the data in the evaluation, and when the proportion of the number of the peak slopes which do not meet the standard is too large, the acquisition module acquires the running data in the evaluation again, so that the accuracy of the data in the evaluation can be effectively mastered, thereby ensuring the authenticity of an actual load energy consumption curve and an actual time energy consumption curve, further the correction module corrects the standard load energy consumption curve, and corrects the standard load energy consumption curve more accurately, thereby ensuring the accuracy of the system in energy-saving evaluation and further improving the accuracy of the energy-saving evaluation.
Specifically, when the correction module determines whether the actual deviation degree meets the standard or not by combining the actual deviation trend twice, the correction module calculates the actual deviation trend F, and sets F to be Xi-1, when F is less than 0.76, the correction module secondarily determines that the actual deviation degree does not meet the standard, and when F is greater than or equal to 0.76, the correction module secondarily determines that the actual deviation degree meets the standard, wherein i represents the number of peaks in the actual time energy consumption curve, i is greater than or equal to 3, Xi represents the X-axis coordinate of the peak of the ith peak, and Xi-1 represents the X-axis coordinate of the peak of the adjacent peak on the left side.
Specifically, when the correction module performs secondary determination on the actual deviation degree by combining the actual deviation trend, the actual deviation trend is calculated by calculating the vertex coordinates between adjacent peaks, and when the distance between the vertex coordinates between the adjacent peaks is closer, the correction module determines that any load has fluctuation in the energy consumption curve in the actual time, and needs to correct the energy consumption value of any load corresponding to the energy consumption curve of the standard load, so that the data accuracy in the energy consumption curve of the standard load is effectively ensured, the energy consumption curve of the standard load is corrected more accurately, the accuracy of the system in energy saving evaluation is ensured, and the energy saving evaluation accuracy is improved.
Specifically, the correcting module determines that the actual deviation degree does not meet the standard twice, and the correcting module corrects the value of the corresponding load in the standard load energy consumption curve, records the corrected actual energy consumption value as B4, corrects the energy consumption value corresponding to the standard load energy consumption curve to B4, and sets B4 as B0 x 1.013.
Specifically, the calculation formula for calculating the actual deviation degree S of the corresponding load according to the actual time energy consumption curve of any load is as follows:
S＝((Y1-Y0)+(Y2-Y0)+……+(Yj-Y0)) 2 ；
wherein, Y1 is the actual energy consumption value at the 1 st moment under any load in the actual time energy consumption curve, Yj is the energy consumption value at the j th moment under any load in the actual time energy consumption curve, and Y0 is the energy consumption value corresponding to any load in the standard load energy consumption curve.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention; various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. An energy-saving optimization evaluation system, comprising:
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module comprises at least one acquisition unit and is used for acquiring operation data, and the operation data comprises pre-evaluation operation data and in-evaluation operation data;
the generating module is connected with the acquiring module and comprises at least one generating unit used for generating a corresponding curve image according to the operation data acquired by the acquiring module, wherein the curve image comprises a standard load energy consumption curve and an actual load energy consumption curve which are respectively drawn by the generating module according to the operation data before evaluation and the operation data during evaluation;
a modification module connected to the generation module and including at least one modification unit for modifying the standard load energy consumption curve according to the evaluation running data acquired by the acquisition module, wherein when the modification module modifies the standard load energy consumption curve, the modification module calculates an actual deviation degree and compares the actual deviation degree with a preset deviation degree, if the modification module determines that the actual deviation degree is smaller than the preset deviation degree, the modification module does not modify the standard load energy consumption curve, if the modification module determines that the actual deviation degree is within a preset value range, the modification module secondarily determines whether the actual deviation degree meets a standard in combination with an actual deviation trend, and when the actual deviation degree does not meet the standard, the modification module finely adjusts the standard load energy consumption curve, and if the modification module determines that the actual deviation degree is greater than the preset deviation degree, the correction module corrects the standard load energy consumption curve;
and the comparison module is connected with the correction module and comprises at least one comparison unit for comparing the actual load energy consumption curve with the corrected standard load energy consumption curve so as to generate corresponding energy-saving optimization evaluation.
2. The energy-saving optimization evaluation system according to claim 1, wherein the curve image further comprises an actual time energy consumption curve of any load drawn by the generation module according to the operation data in evaluation, the correction module calculates an actual deviation degree S of the corresponding load according to the actual time energy consumption curve of any load, compares the actual deviation degree S with a preset deviation degree S0, and determines whether to correct the standard load energy consumption curve according to the comparison result;
the preset deviation degrees comprise a first preset deviation degree S1 and a second preset deviation degree S2, wherein S1 is less than S2;
when S is less than S1, the correction module judges that the actual deviation degree meets the standard and does not need to correct the numerical value of the corresponding load in the standard load energy consumption curve;
when S1 is not less than S2, the correction module determines whether the actual deviation degree meets the standard or not by combining the actual deviation trend for twice;
and when S is larger than S2, the correction module judges that the actual deviation degree does not meet the standard, and the numerical value of the corresponding load in the standard load energy consumption curve needs to be corrected.
3. The energy-saving optimization evaluation system according to claim 2, wherein when the modification module determines that the value of the corresponding load in the standard load energy consumption curve needs to be modified, the modification module selects the corresponding modification mode according to an area a1 enclosed above a reference line and an area a2 enclosed below the reference line of the actual time energy consumption curve, wherein the reference line is an energy consumption value B0 corresponding to any load in the standard load energy consumption curve, and a1 is less than a 2;
when A1 is greater than A2, the correction module judges that the actual energy consumption value is greater than an energy consumption value B0 corresponding to the standard load energy consumption curve, the correction module marks the actual energy consumption value as B1 and corrects the energy consumption value corresponding to the standard load energy consumption curve to B1, and B1 is set to be B x (1+ (A1-A2)/(A1+ A2));
when a1 is equal to a2, the correction module needs to perform fine adjustment on the actual energy consumption value, the correction module marks the actual energy consumption value after fine adjustment as B2, corrects the energy consumption value corresponding to the standard load energy consumption curve to B2, and sets B2 equal to B0 x K, wherein K is a fine adjustment coefficient;
when a1 < a2, the correction module determines that the actual energy consumption value is less than the energy consumption value B0 corresponding to the standard load energy consumption curve, the correction module records the actual energy consumption value as B3, corrects the energy consumption value corresponding to the standard load energy consumption curve to B3, and sets B3 to bx (1+ (a2-a1)/(a1+ a 2)).
4. The energy-saving optimization evaluation system according to claim 3, wherein the correction module selects a corresponding fine adjustment coefficient K according to the number of peaks Q1 above the reference line and the number of valleys Q2 below the reference line in the actual time energy consumption curve, and sets K equal to 1.02 x (Q1/Q2).
5. The energy-saving optimization evaluation system according to claim 4, wherein the fine tuning coefficient K has a value in a range of 0.958-1.134.
6. The energy-saving optimization evaluation system according to claim 3, wherein when the modification module determines that the energy consumption value corresponding to the standard load energy consumption curve needs to be modified to B1, the modification module calculates a slope R of each peak in the actual curve, compares the actual slope R of each peak with a preset peak slope R0 in sequence, and determines whether the energy consumption change is standard according to the comparison result, wherein R0 is 1.83;
when R is larger than R0, the correction module judges that the peak slope does not meet the standard and records the number R of the peak slopes which do not meet the standard;
when R is less than or equal to R0, the correction module judges that the crest slope meets the standard.
7. The energy-saving optimization evaluation system according to claim 6, wherein when the correction module completes the calculation of the number of the unqualified peak slopes, the correction module compares the number r of the unqualified peak slopes with the number Q1 of the peaks, when the ratio of the number r of the unqualified peak slopes is greater than or equal to 85%, the correction module determines that the running data is abnormal, the acquisition module acquires the running data under evaluation again, and when the ratio of the number r of the unqualified peak slopes is less than 85%, the correction module corrects the energy consumption value corresponding to the standard load energy consumption curve to B1.
8. The energy-saving optimization evaluation system according to claim 2, wherein when the correction module determines whether the actual deviation degree is in accordance with the standard in combination with the actual deviation trend twice, the correction module calculates the actual deviation trend F, sets F to Xi-1, determines that the actual deviation degree is not in accordance with the standard twice when F is less than 0.76, and determines that the actual deviation degree is in accordance with the standard twice when F is greater than or equal to 0.76, wherein i represents the number of peaks in the actual time energy consumption curve, i is greater than or equal to 3, Xi represents the X-axis coordinate of the ith peak vertex, and Xi-1 represents the X-axis coordinate of the left adjacent peak vertex.
9. The energy-saving optimization evaluation system according to claim 1, wherein the modification module determines that the actual deviation degree does not meet the standard twice, and the modification module modifies the value of the corresponding load in the energy consumption curve of the standard load, and records the modified actual energy consumption value as B4, and modifies the energy consumption value corresponding to the energy consumption curve of the standard load to B4, and sets B4 to B0 x 1.013.
10. The energy-saving optimization evaluation system according to claim 2, wherein the calculation formula for calculating the actual deviation S of the corresponding load according to the actual time energy consumption curve of any load is as follows,
S＝((Y1-Y0)+(Y2-Y0)+……+(Yj-Y0)) 2 ；
wherein, Y1 is the actual energy consumption value at the 1 st moment under any load in the actual time energy consumption curve, Yj is the energy consumption value at the j th moment under any load in the actual time energy consumption curve, and Y0 is the energy consumption value corresponding to any load in the standard load energy consumption curve.
CN202111574492.1A 2021-12-21 2021-12-21 Energy-saving optimization evaluation system Active CN114169637B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111574492.1A CN114169637B (en) 2021-12-21 2021-12-21 Energy-saving optimization evaluation system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111574492.1A CN114169637B (en) 2021-12-21 2021-12-21 Energy-saving optimization evaluation system

Publications (2)

Publication Number Publication Date
CN114169637A CN114169637A (en) 2022-03-11
CN114169637B true CN114169637B (en) 2022-09-27

Family

ID=80487705

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111574492.1A Active CN114169637B (en) 2021-12-21 2021-12-21 Energy-saving optimization evaluation system

Country Status (1)

Country Link
CN (1) CN114169637B (en)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2014191582A (en) * 2013-03-27 2014-10-06 Daiwa House Industry Co Ltd Calculation system and calculation method of index value of heating and cooling load reduction
CN106651200A (en) * 2016-12-29 2017-05-10 中国西电电气股份有限公司 Electrical load management method and system for industrial enterprise aggregate user
CN108764626A (en) * 2018-04-19 2018-11-06 武汉钢铁有限公司 A kind of diagnosis of energy saving method and apparatus
CN110751402A (en) * 2019-10-23 2020-02-04 北京工业大学 Green building energy consumption quota determining method based on control strategy
CN112907125A (en) * 2021-03-22 2021-06-04 新奥数能科技有限公司 Benefit evaluation method and device for energy-saving project of industrial boiler and electronic equipment
CN113159607A (en) * 2021-04-30 2021-07-23 广州远正智能科技股份有限公司 Intelligent management method, system and storage medium for public institution energy consumption quota

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2014191582A (en) * 2013-03-27 2014-10-06 Daiwa House Industry Co Ltd Calculation system and calculation method of index value of heating and cooling load reduction
CN106651200A (en) * 2016-12-29 2017-05-10 中国西电电气股份有限公司 Electrical load management method and system for industrial enterprise aggregate user
CN108764626A (en) * 2018-04-19 2018-11-06 武汉钢铁有限公司 A kind of diagnosis of energy saving method and apparatus
CN110751402A (en) * 2019-10-23 2020-02-04 北京工业大学 Green building energy consumption quota determining method based on control strategy
CN112907125A (en) * 2021-03-22 2021-06-04 新奥数能科技有限公司 Benefit evaluation method and device for energy-saving project of industrial boiler and electronic equipment
CN113159607A (en) * 2021-04-30 2021-07-23 广州远正智能科技股份有限公司 Intelligent management method, system and storage medium for public institution energy consumption quota

Also Published As

Publication number Publication date
CN114169637A (en) 2022-03-11

Similar Documents

Publication Publication Date Title
LU504128B1 (en) Primary frequency regulation control system of small-disturbance thermal pow unit
CN116243097B (en) Electric energy quality detection method based on big data
CN114169637B (en) Energy-saving optimization evaluation system
CN109713688A (en) Bulk power grid static voltage stability online preventive control method and system
CN110633864A (en) Wind speed numerical prediction correction method and system based on range deviation
CN113423163A (en) Classroom intelligent illumination control method, system, equipment and storage medium
CN109698505A (en) The regulation of the online prevention and control of bulk power grid static voltage stability quantifies mapping calculation method
CN104158489A (en) Photovoltaic power station monitoring method and power station monitoring system
CN116191571B (en) Wind power energy storage output power control method and system
CN114881802B (en) Metadata-based data asset management method and system
CN113656372B (en) Standard index database data mart architecture device and method
CN115408860A (en) Abnormal value monitoring and correcting method for wind speed-power data of wind power plant
CN112507410B (en) Method and device for generating rail Liang Tuzhi
CN112508324B (en) Power system characteristic value evaluation method based on complex planar regionalization
CN116632948B (en) New energy permeability boundary determination method based on generalized short-circuit ratio
CN117895509B (en) Multi-energy coupling type power distribution network scheduling method and system
LU505095B1 (en) Intelligent management method and system for power station operation
CN116937694B (en) Control method and system of MPPT controller of photovoltaic power generation system
CN117277272A (en) New energy consumption capability assessment method based on energy storage operation mode
CN115224741A (en) Distributed photovoltaic low-voltage grid-connected regulation system and method
CN117141110A (en) Screen printing morphology analysis and regulation method
CN116826841A (en) Multi-converter grid-connected system stability weak link identification and parameter optimization method
CN115566679A (en) Micro-grid energy control method and system based on energy router
Marcelo et al. A Novel Solution Technique for the Expansion Planning of Modern Distribution Systems
CN116231652A (en) Distributed power supply bearing capacity analysis method considering digestion rate and terminal

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
PE01 Entry into force of the registration of the contract for pledge of patent right
PE01 Entry into force of the registration of the contract for pledge of patent right

Denomination of invention: An energy-saving optimization evaluation system

Effective date of registration: 20230621

Granted publication date: 20220927

Pledgee: Bank of Beijing Limited by Share Ltd. Shanghai branch

Pledgor: TIANNA ENERGY TECHNOLOGY (SHANGHAI) CO.,LTD.

Registration number: Y2023980044968