CN111724075A - Big data-based electric power electricity-saving effect analysis system - Google Patents

Big data-based electric power electricity-saving effect analysis system Download PDF

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CN111724075A
CN111724075A CN202010583373.1A CN202010583373A CN111724075A CN 111724075 A CN111724075 A CN 111724075A CN 202010583373 A CN202010583373 A CN 202010583373A CN 111724075 A CN111724075 A CN 111724075A
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俞美英
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Jinyun Xitian Energy Saving Technology Co ltd
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Abstract

The invention discloses a big data-based power saving effect analysis system, which comprises a big data information acquisition module, a matching module, an equipment information acquisition module, a data receiving module, a data processing module, a master control module and an information sending module, wherein the big data information acquisition module is used for acquiring the big data information; big data information acquisition module with be connected with the external internet through the 5G network to obtain current equipment information from the internet, current equipment information includes current equipment function, current equipment field and current equipment unit interval electric quantity information, equipment information acquisition module is used for gathering evaluation equipment information, and evaluation equipment information includes: real-time equipment voltage information, real-time equipment current information, equipment field, equipment function and equipment unit time electric quantity information; the invention has the beneficial effects that: the system has more functions, meets different use requirements of users, and can perform more accurate power saving effect evaluation analysis.

Description

Big data-based electric power electricity-saving effect analysis system
Technical Field
The invention relates to an analysis system, in particular to a power electricity-saving effect analysis system based on big data, and belongs to the technical field of electricity-saving analysis.
Background
The electricity is saved, namely the electricity is saved, and the electricity is saved not by electricity or by less electricity but by scientific electricity. The method adopts feasible, economic and reasonable measures, reduces the direct and indirect loss of electric energy, improves the energy efficiency and environmental protection, and needs to use an electricity-saving analysis system when analyzing the electricity-saving effect in the electricity-saving process.
The Chinese patent with publication number CN105138847B discloses a method for evaluating the power saving potential of variable frequency air conditioner load participation demand response and grouping and aggregating the load, wherein on the basis of variable frequency air conditioner load modeling, a power saving potential evaluation model of variable frequency air conditioner load participation demand response is established in combination with human comfort, and reference is provided for a power grid dispatching department to make a load dispatching target of the variable frequency air conditioner; meanwhile, a corresponding load grouping and aggregation method of the air conditioner group is formed, so that the total load of the air conditioner group can be scientifically and effectively kept as a scheduling target, and the energy conservation and emission reduction work of resources on a demand side is finally promoted; but the function is single and can not meet the use requirement of the user.
The power saving effect analysis system has single function in the using process and cannot meet the actual using requirement of a user, meanwhile, the power saving effect analysis is not accurate enough, the analyzed power saving information has larger error, and certain influence is brought to the use of the power saving effect analysis system.
Disclosure of Invention
The invention aims to solve the problems that the existing power saving effect analysis system has single function in the using process and cannot meet the actual using requirement of a user, the power saving effect analysis is not accurate enough, the analyzed power saving information has larger error and certain influence is brought to the use of the power saving effect analysis system, and the power saving effect analysis system based on big data is provided.
The purpose of the invention can be realized by the following technical scheme: a big data-based power saving effect analysis system comprises a big data information acquisition module, a matching module, an equipment information acquisition module, a data receiving module, a data processing module, a master control module and an information sending module;
big data information acquisition module with be connected with the external internet through the 5G network to obtain current equipment information from the internet, current equipment information includes current equipment function, current equipment field and current equipment unit interval electric quantity information, equipment information acquisition module is used for gathering evaluation equipment information, and evaluation equipment information includes: real-time equipment voltage information, real-time equipment current information, equipment field, equipment function and equipment unit time electric quantity information;
the matching module is used for receiving the equipment function in the equipment information to be evaluated and matching the equipment function in the existing equipment information, and extracting the equipment with the same equipment function in the existing equipment information and the equipment function in the equipment information to be evaluated as comparison equipment;
the data processing module is used for receiving the evaluation equipment information and the comparison equipment and sending the evaluation equipment information and the comparison equipment to the data processing module, the data processing module is used for processing the received evaluation equipment information into equipment rating information and power saving evaluation information and processing the comparison equipment into recommendation equipment information, and the recommendation equipment information, the equipment rating information and the power saving evaluation information are generated and then sent to the master control module;
the general control module is used for converting the recommended equipment information, the equipment rating information and the power saving evaluation information into recommended equipment instructions, equipment rating instructions and power saving evaluation instructions and sending the recommended equipment instructions, the equipment rating instructions and the power saving evaluation instructions to the information sending module, and the information sending module is used for displaying the recommended equipment instructions, the equipment rating instructions and the power saving evaluation instructions on the terminal and the intelligent mobile terminal of the user.
Further, the method comprises the following steps: the matching process of the matching module comprises the following steps of extracting the equipment field and the equipment function in the existing equipment information, marking the partial tables as K1 and K2, extracting the equipment field and the equipment function in the equipment information to be evaluated, marking the partial tables as K3 and K4, and successfully matching when the equipment fields K1 and K3 are the same and the equipment functions K2 and K4 are the same.
Further, the method comprises the following steps: the specific processing procedure of the recommendation device information is as follows:
the method comprises the following steps: extracting all successfully matched existing equipment, extracting equipment unit time electric quantity information in the successfully matched existing equipment information, and marking the equipment unit time electric quantity information as Ci;
step two: ranking the electric quantity information Ci of the equipment in unit time in the information of the existing equipment from large to small according to the electric quantity used in unit time, and extracting the existing equipment corresponding to the top x of the minimum electric quantity information C in unit time as recommendation equipment;
the information of the recommendation equipment is converted into a recommendation equipment instruction by the master control module after being generated, and the information sending module sends the recommendation equipment instruction to the display screen and the intelligent mobile terminal of the user at the same time.
The equipment rating information comprises a primary rating, a secondary rating and a tertiary rating, and the equipment rating information is specifically processed;
the method comprises the following steps: acquiring real-time equipment voltage information once every preset time within a preset time period, continuously acquiring the real-time equipment voltage information for g times, wherein g is more than 3, and marking the acquired real-time equipment voltage information as Ti, i is 1 … … n;
step two: drawing all the acquired real-time equipment voltage information Ti into a line graph by taking the time length as a horizontal axis and the voltage height as a vertical axis;
step three: by the formula T1+ T2+ T3+ … … + Tn ═ TAndall voltages and T are obtainedAnd；
step four: then by the formula TAnd/g＝Tare all made ofTo obtain the final voltage mean value TAre all made of；
Step five: extracting any two points Tn-1 and Tn on the line graph, and calculating Tn-1 and a voltage mean value TAre all made ofDifference Tz1 ofDifference (D)Then Tn and T are calculatedAre all made ofDifference Tz2 ofDifference (D)；
Step six: then calculate | Tz1Difference (D)I and | Tz2Difference (D)The sum of |, to give TzAndcontinuously obtaining d number of TzAnd；
step seven: the predetermined voltage threshold is labeled as P1, and Tz is calculatedAndthe difference with P1 yields a first scoring coefficient TpDifference (D)；
Step eight: acquiring real-time equipment current information once every preset time within a preset time period, continuously acquiring real-time equipment voltage information e times, wherein e is more than 3, and marking the acquired real-time equipment voltage information as Ti, i is 1 … … n;
step nine: drawing all the acquired real-time equipment voltage information Qi into a line drawing by taking the time length as a horizontal axis and the current magnitude as a vertical axis;
step ten: by the formula Q1+ Q2+ Q3+ … … + Qn ═ QAndall voltages and Q are obtainedAnd；
step eleven: then by the formula QAnd/g＝Qare all made ofTo obtain the final voltage average value QAre all made of；
Step twelve: any two points on the line graph are extracted to obtain Qn-1 and Qn, and Qn-1 and the voltage mean value T are calculatedAre all made ofDifference value of (Qz 1)Difference (D)Then calculate Qn and QAre all made ofDifference value of (Qz 2)Difference (D)；
Step thirteen: then calculate | Qz1Difference (D)And Qz2Difference (D)The sum of |, results in QzAndcontinuously obtaining d number of TzAnd；
fourteen steps: the predetermined current threshold is labeled as P2, and Qz is calculatedAndthe difference with P2 is used to obtain a second scoring coefficient QpDifference (D)；
Step fifteen: when the first score coefficient TpDifference (D)And a second scoring coefficient QpDifference (D)When the values are all larger than the preset value, three-level scores are generated, and a first scoring coefficient TpDifference (D)And a second scoring coefficient QpDifference (D)When the values are within the preset value range, the second score is generated, and when the first score coefficient TpDifference (D)And a second scoring coefficient QpDifference (D)When the values are all smaller than the preset value, a first score is generated;
and after the equipment rating information is that the third grade score is converted into an equipment rating instruction and is sent to the display terminal, the display terminal displays that the equipment is unstable and needs to be replaced, after the equipment rating information is that the second grade score is converted into an equipment rating instruction and is sent to the display terminal, the display terminal displays that the equipment is unstable and needs to be overhauled, and after the equipment rating information is that the first grade score is converted into an equipment rating instruction and is sent to the display terminal, the display terminal displays that the equipment is stable.
Further, the method comprises the following steps: the power saving evaluation information comprises power saving information, average energy consumption information and high energy consumption information, and the specific processing process of the power saving evaluation information is as follows:
the method comprises the following steps: extracting the unit time electric quantity information of the equipment to be evaluated, which is acquired in real time, and marking the unit time electric quantity information as F1;
step two: extracting the first three with the minimum electricity consumption per unit time in the recommendation equipment, and respectively marking the electricity consumption per unit time as F2, F3 and F4;
step three: calculating the difference between F1 and F2, the difference between F1 and F3 and the difference between F1 and F4 to obtain final differences Fc1, Fc2 and Fc 3;
step four: by the formula Fc1+ Fc2+ Fc3 ═ FcAndto obtain a difference value and FcAnd；
step five: then through the formula FcAndcalculating an evaluation coefficient Fk, generating high energy consumption information when the evaluation coefficient Fk is larger than a preset value, generating average energy consumption information when the evaluation coefficient Fk is within a preset value range, and generating power saving information when the evaluation coefficient Fk is smaller than the preset value;
after the power saving evaluation information is high energy consumption information and is converted into a power saving evaluation instruction to be sent to the display terminal, the display terminal displays that the equipment is high energy consumption equipment, after the power saving evaluation information is average energy consumption information and is converted into a power saving evaluation instruction to be sent to the display terminal, the display terminal displays that the equipment is average equipment, after the power saving evaluation information is power saving information and is converted into a power saving evaluation instruction to be sent to the display terminal, the display terminal displays that the equipment is power saving equipment.
Compared with the prior art, the invention has the beneficial effects that:
1. in the using process of the invention, the system collects the equipment information of the electric equipment in real time and matches the equipment information with the existing equipment through a matching module, when the equipment field and the equipment function in the existing equipment information are extracted, the branch tables are marked as K1 and K2, then the equipment field and the equipment function in the equipment information to be evaluated are extracted, the branch tables are marked as K3 and K4, when the equipment fields K1 and K3 are the same and the equipment functions K2 and K4 are the same, the matching is successful, then all the existing equipment which is successfully matched are extracted, the equipment unit time electric quantity information in the information of the existing equipment which is successfully matched is extracted, the equipment unit time electric quantity information is marked as Ci, then the equipment unit time electric quantity information in the information of the existing equipment is ranked from large to small according to the electric quantity Ci of the electric quantity in unit time, the existing equipment which corresponds to the smallest front x name of the unit time information C is extracted as the equipment, the setting can lead the system to recommend better replacement equipment for the user through the information acquisition and analysis of the setting to be evaluated, thereby reducing the use cost of the user;
2. meanwhile, the device to be evaluated can be graded by acquiring real-time voltage information and real-time current information, drawing the real-time voltage information and the real-time current information into a line drawing, and then calculating the Tz1Difference (D)I and | Tz2Difference (D)The sum of |, to give TzAndcontinuously obtaining d number of TzAndthe predetermined voltage threshold is designated as P1, and Tz is calculatedAndthe difference with P1 yields a first scoring coefficient TpDifference (D)Then, the | Qz1 is calculated againDifference (D)And Qz2Difference (D)The sum of |, results in QzAndcontinuously obtaining d number of TzAndthe predetermined current threshold is designated as P2, and Qz is calculatedAndthe difference with P2 is used to obtain a second scoring coefficient QpDifference (D)By applying a first scoring factor TpDifference (D)And a second scoring coefficient QpDifference (D)The equipment rating information is converted into an equipment rating instruction and sent to a display terminal, the display terminal displays that the equipment is unstable and needs to be replaced, the equipment rating information is converted into a second grade and sent to the display terminal, the display terminal displays that the equipment is unstable and needs to be maintained, the equipment rating information is converted into an equipment rating instruction and sent to the display terminal, and the display terminal displays that the equipment is stable;
3. the system acquires the electricity consumption information of the existing equipment in unit time from the Internet, and compares the electricity consumption information of the equipment to be evaluated in unit time with the unit of the existing equipmentComparing the time power consumption information, extracting the equipment unit time power consumption information of the equipment to be evaluated, which is acquired in real time, marking the equipment unit time power consumption information as F1, extracting the first three with the minimum unit time power consumption in the recommendation equipment, marking the unit time power consumption information as F2, F3 and F4, respectively calculating the difference value of F1 and F2, the difference value of F1 and F3 and the difference value of F1 and F4 to obtain final difference values Fc1, Fc2 and Fc3, and obtaining the final difference values Fc1, Fc2 and Fc3 through the formulas Fc1, Fc2 and Fc3Andto obtain a difference value and FcAndthen through the formula FcAndand calculating an evaluation coefficient Fk, generating high energy consumption information when the evaluation coefficient Fk is larger than a preset value, generating average energy consumption information when the evaluation coefficient Fk is within a preset value range, and generating power saving information when the evaluation coefficient Fk is smaller than the preset value.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a big data-based power saving effect analysis system includes a big data information obtaining module, a matching module, an equipment information collecting module, a data receiving module, a data processing module, a master control module and an information sending module;
big data information acquisition module with be connected with the external internet through the 5G network to obtain current equipment information from the internet, current equipment information includes current equipment function, current equipment field and current equipment unit interval electric quantity information, equipment information acquisition module is used for gathering evaluation equipment information, and evaluation equipment information includes: real-time equipment voltage information, real-time equipment current information, equipment field, equipment function and equipment unit time electric quantity information;
the matching module is used for receiving the equipment function in the equipment information to be evaluated and matching the equipment function in the existing equipment information, and extracting the equipment with the same equipment function in the existing equipment information and the equipment function in the equipment information to be evaluated as comparison equipment;
the data processing module is used for receiving the evaluation equipment information and the comparison equipment and sending the evaluation equipment information and the comparison equipment to the data processing module, the data processing module is used for processing the received evaluation equipment information into equipment rating information and power saving evaluation information and processing the comparison equipment into recommendation equipment information, and the recommendation equipment information, the equipment rating information and the power saving evaluation information are generated and then sent to the master control module;
the general control module is used for converting the recommended equipment information, the equipment rating information and the power saving evaluation information into recommended equipment instructions, equipment rating instructions and power saving evaluation instructions and sending the recommended equipment instructions, the equipment rating instructions and the power saving evaluation instructions to the information sending module, and the information sending module is used for displaying the recommended equipment instructions, the equipment rating instructions and the power saving evaluation instructions on the terminal and the intelligent mobile terminal of the user.
The matching process of the matching module comprises the following steps of extracting the equipment field and the equipment function in the existing equipment information, marking the partial tables as K1 and K2, extracting the equipment field and the equipment function in the equipment information to be evaluated, marking the partial tables as K3 and K4, and successfully matching when the equipment fields K1 and K3 are the same and the equipment functions K2 and K4 are the same.
The specific processing procedure of the recommendation device information is as follows:
the method comprises the following steps: extracting all successfully matched existing equipment, extracting equipment unit time electric quantity information in the successfully matched existing equipment information, and marking the equipment unit time electric quantity information as Ci;
step two: ranking the electric quantity information Ci of the equipment in unit time in the information of the existing equipment from large to small according to the electric quantity used in unit time, and extracting the existing equipment corresponding to the top x of the minimum electric quantity information C in unit time as recommendation equipment;
the information of the recommendation equipment is converted into a recommendation equipment instruction by the master control module after being generated, and the information sending module sends the recommendation equipment instruction to the display screen and the intelligent mobile terminal of the user at the same time.
The equipment rating information comprises a primary rating, a secondary rating and a tertiary rating, and the equipment rating information is specifically processed;
the method comprises the following steps: acquiring real-time equipment voltage information once every preset time within a preset time period, continuously acquiring the real-time equipment voltage information for g times, wherein g is more than 3, and marking the acquired real-time equipment voltage information as Ti, i is 1 … … n;
step two: drawing all the acquired real-time equipment voltage information Ti into a line graph by taking the time length as a horizontal axis and the voltage height as a vertical axis;
step three: by the formula T1+ T2+ T3+ … … + Tn ═ TAndall voltages and T are obtainedAnd；
step four: then by the formula TAnd/g＝Tare all made ofTo obtain the final voltage mean value TAre all made of；
Step five: extracting any two points Tn-1 and Tn on the line graph, and calculating Tn-1 and a voltage mean value TAre all made ofDifference Tz1 ofDifference (D)Then Tn and T are calculatedAre all made ofDifference Tz2 ofDifference (D)；
Step six: then calculate | Tz1Difference (D)I and | Tz2Difference (D)The sum of |, to give TzAndcontinuously obtaining d number of TzAnd；
step seven: the predetermined voltage threshold is labeled as P1, and Tz is calculatedAndthe difference with P1 yields a first scoring coefficient TpDifference (D)；
Step eight: acquiring real-time equipment current information once every preset time within a preset time period, continuously acquiring real-time equipment voltage information e times, wherein e is more than 3, and marking the acquired real-time equipment voltage information as Ti, i is 1 … … n;
step nine: drawing all the acquired real-time equipment voltage information Qi into a line drawing by taking the time length as a horizontal axis and the current magnitude as a vertical axis;
step ten: by the formula Q1+ Q2+ Q3+ … … + Qn ═ QAndall voltages and Q are obtainedAnd；
step eleven: then by the formula QAnd/g＝Qare all made ofTo obtain the final voltage average value QAre all made of；
Step twelve: any two points on the line graph are extracted to obtain Qn-1 and Qn, and Qn-1 and the voltage mean value T are calculatedAre all made ofDifference value of (Qz 1)Difference (D)Then calculate Qn and QAre all made ofDifference value of (Qz 2)Difference (D)；
Step thirteen: then calculate | Qz1Difference (D)And Qz2Difference (D)The sum of |, results in QzAndcontinuously obtaining d number of TzAnd；
fourteen steps: the predetermined current threshold is labeled as P2, and Qz is calculatedAndthe difference with P2 is used to obtain a second scoring coefficient QpDifference (D)；
Step fifteen: when the first score coefficient TpDifference (D)And a second scoring coefficient QpDifference (D)When the values are all larger than the preset value, three-level scores are generated, and a first scoring coefficient TpDifference (D)And a second scoring coefficient QpDifference (D)When the values are within the preset value range, the second score is generated, and when the first score coefficient TpDifference (D)And a second scoring coefficient QpDifference (D)When the values are all smaller than the preset value, a first score is generated;
and after the equipment rating information is that the third grade score is converted into an equipment rating instruction and is sent to the display terminal, the display terminal displays that the equipment is unstable and needs to be replaced, after the equipment rating information is that the second grade score is converted into an equipment rating instruction and is sent to the display terminal, the display terminal displays that the equipment is unstable and needs to be overhauled, and after the equipment rating information is that the first grade score is converted into an equipment rating instruction and is sent to the display terminal, the display terminal displays that the equipment is stable.
The power saving evaluation information comprises power saving information, average energy consumption information and high energy consumption information, and the specific processing process of the power saving evaluation information is as follows:
the method comprises the following steps: extracting the unit time electric quantity information of the equipment to be evaluated, which is acquired in real time, and marking the unit time electric quantity information as F1;
step two: extracting the first three with the minimum electricity consumption per unit time in the recommendation equipment, and respectively marking the electricity consumption per unit time as F2, F3 and F4;
step three: calculating the difference between F1 and F2, the difference between F1 and F3 and the difference between F1 and F4 to obtain final differences Fc1, Fc2 and Fc 3;
step four: by the formula Fc1+ Fc2+ Fc3 ═ FcAndto obtain a difference value and FcAnd；
step five: then through the formula FcAndcalculating an evaluation coefficient Fk, generating high energy consumption information when the evaluation coefficient Fk is larger than a preset value, generating average energy consumption information when the evaluation coefficient Fk is within a preset value range, and generating power saving information when the evaluation coefficient Fk is smaller than the preset value;
1. after the power saving evaluation information is high energy consumption information and is converted into a power saving evaluation instruction to be sent to the display terminal, the display terminal displays that the equipment is high energy consumption equipment, after the power saving evaluation information is average energy consumption information and is converted into a power saving evaluation instruction to be sent to the display terminal, the display terminal displays that the equipment is average equipment, after the power saving evaluation information is power saving information and is converted into a power saving evaluation instruction to be sent to the display terminal, the display terminal displays that the equipment is power saving equipment.
When the system is used, the big data information acquisition module is connected with the external Internet through a 5G network and acquires the existing equipment information from the Internet, the system can acquire the equipment information of the electric equipment in real time and match the existing equipment acquired from the big data through the matching module, when the equipment field and the equipment function in the existing equipment information are extracted, the partial tables are marked as K1 and K2, then the equipment field and the equipment function in the equipment information to be evaluated are extracted, the partial tables are marked as K3 and K4, when the equipment fields K1 and K3 are the same and the equipment functions K2 and K4 are the same, the matching is successful, and after the matching is successful, the matched equipment field is matched with the equipment function K2 and the equipment function K4Extracting the existing equipment successfully matched, extracting the equipment unit time electric quantity information in the information of the successfully matched existing equipment, marking the equipment unit time electric quantity information as Ci, ranking the equipment unit time electric quantity information Ci in the information of the existing equipment from large to small according to the quantity of the unit time electric quantity, extracting the existing equipment corresponding to the front x with the minimum unit time electric quantity information C as recommendation equipment, and by the arrangement, the system can recommend better replacement equipment for a user by acquiring and analyzing information to be evaluated and set, so that the use cost of the user is reducedDifference (D)I and | Tz2Difference (D)The sum of |, to give TzAndcontinuously obtaining d number of TzAndthe predetermined voltage threshold is designated as P1, and Tz is calculatedAndthe difference with P1 yields a first scoring coefficient TpDifference (D)Then, the | Qz1 is calculated againDifference (D)And Qz2Difference (D)The sum of |, results in QzAndcontinuously obtaining d number of TzAndthe predetermined current threshold is designated as P2, and Qz is calculatedAndthe difference with P2 is used to obtain a second scoring coefficient QpDifference (D)By applying a first scoring factor TpDifference (D)And a second scoring coefficient QpDifference (D)Analyzing to obtain the rating of the equipment, converting the three-level rating information into an equipment rating instruction and sending the equipment rating instruction to a display terminal, the display terminal displays that the equipment is unstable and needs to be replaced, the equipment rating information is a secondary grade and is converted into an equipment rating instruction to be sent to the display terminal, the display terminal displays that the equipment is unstable and needs to be overhauled, the equipment rating information is a primary grade, the primary grade is converted into an equipment rating instruction and is sent to the display terminal, the display terminal displays that the equipment is stable, the arrangement can lead the user to know the equipment condition, thereby carrying out the maintenance treatment on the equipment in time, leading the system to have more functions, meeting different use requirements of the user, the system acquires the electricity consumption information of the existing equipment in unit time from the Internet, and the electricity consumption information of the equipment to be evaluated in unit time and the unit time of the existing equipment are obtained.Comparing the power consumption information, extracting the real-time acquired equipment unit time power consumption information of the equipment to be evaluated, marking the information as F1, extracting the first three with the minimum unit time power consumption in the recommendation equipment, marking the unit time power consumption information as F2, F3 and F4, respectively calculating the difference value between F1 and F2, the difference value between F1 and F3 and the difference value between F1 and F4 to obtain final difference values Fc1, Fc2 and Fc3, and obtaining the final difference values Fc1, Fc2 and Fc3 through the formulas Fc1, Fc2 and Fc3Andto obtain a difference value and FcAndthen through the formula FcAndand calculating an evaluation coefficient Fk, generating high energy consumption information when the evaluation coefficient Fk is larger than a preset value, generating average energy consumption information when the evaluation coefficient Fk is within a preset value range, and generating power saving information when the evaluation coefficient Fk is smaller than the preset value.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims (5)

1. A big data-based electric power electricity-saving effect analysis system is characterized by comprising a big data information acquisition module, a matching module, an equipment information acquisition module, a data receiving module, a data processing module, a master control module and an information sending module;
big data information acquisition module with be connected with the external internet through the 5G network to obtain current equipment information from the internet, current equipment information includes current equipment function, current equipment field and current equipment unit interval electric quantity information, equipment information acquisition module is used for gathering evaluation equipment information, and evaluation equipment information includes: real-time equipment voltage information, real-time equipment current information, equipment field, equipment function and equipment unit time electric quantity information;
the matching module is used for receiving the equipment function in the equipment information to be evaluated and matching the equipment function in the existing equipment information, and extracting the equipment with the same equipment function in the existing equipment information and the equipment function in the equipment information to be evaluated as comparison equipment;
the data processing module is used for receiving the evaluation equipment information and the comparison equipment and sending the evaluation equipment information and the comparison equipment to the data processing module, the data processing module is used for processing the received evaluation equipment information into equipment rating information and power saving evaluation information and processing the comparison equipment into recommendation equipment information, and the recommendation equipment information, the equipment rating information and the power saving evaluation information are generated and then sent to the master control module;
the general control module is used for converting the recommended equipment information, the equipment rating information and the power saving evaluation information into recommended equipment instructions, equipment rating instructions and power saving evaluation instructions and sending the recommended equipment instructions, the equipment rating instructions and the power saving evaluation instructions to the information sending module, and the information sending module is used for displaying the recommended equipment instructions, the equipment rating instructions and the power saving evaluation instructions on the terminal and the intelligent mobile terminal of the user.
2. The big-data-based power saving effect analysis system as claimed in claim 1, wherein the matching module matching process comprises extracting device fields and device functions from the existing device information, and labeling the device fields and device functions as K1 and K2, and extracting device fields and device functions from the device information to be evaluated, and labeling the device fields and device functions as K3 and K4, and when the device fields K1 and K3 are the same and the device functions K2 and K4 are the same, the matching is successful.
3. The big-data-based power saving effect analysis system according to claim 1, wherein the specific processing procedure of the recommendation device information is as follows:
the method comprises the following steps: extracting all successfully matched existing equipment, extracting equipment unit time electric quantity information in the successfully matched existing equipment information, and marking the equipment unit time electric quantity information as Ci;
step two: ranking the electric quantity information Ci of the equipment in unit time in the information of the existing equipment from large to small according to the electric quantity used in unit time, and extracting the existing equipment corresponding to the top x of the minimum electric quantity information C in unit time as recommendation equipment;
the information of the recommendation equipment is converted into a recommendation equipment instruction by the master control module after being generated, and the information sending module sends the recommendation equipment instruction to the display screen and the intelligent mobile terminal of the user at the same time.
4. The big data-based power saving effect analysis system according to claim 1, wherein the equipment rating information includes a primary rating, a secondary rating and a tertiary rating, and the equipment rating information is specifically processed;
the method comprises the following steps: acquiring real-time equipment voltage information once every preset time within a preset time period, continuously acquiring the real-time equipment voltage information for g times, wherein g is more than 3, and marking the acquired real-time equipment voltage information as Ti, i is 1 … … n;
step two: drawing all the acquired real-time equipment voltage information Ti into a line graph by taking the time length as a horizontal axis and the voltage height as a vertical axis;
step three: by the formula T1+ T2+ T3+ … … + Tn ═ TAndall voltages and T are obtainedAnd；
step four: then by the formula TAnd/g＝Tare all made ofTo obtain the final voltage mean value TAre all made of；
Step five: extracting any two points Tn-1 and Tn on the line graph, and calculating Tn-1 and a voltage mean value TAre all made ofDifference Tz1 ofDifference (D)Then Tn and T are calculatedAre all made ofDifference Tz2 ofDifference (D)；
Step six: then calculate | Tz1Difference (D)I and | Tz2Difference (D)The sum of |, to give TzAndcontinuously obtaining d number of TzAnd；
step seven: will preset the voltage thresholdThe value is labeled P1, and Tz is calculatedAndthe difference with P1 yields a first scoring coefficient TpDifference (D)；
Step eight: acquiring real-time equipment current information once every preset time within a preset time period, continuously acquiring real-time equipment voltage information e times, wherein e is more than 3, and marking the acquired real-time equipment voltage information as Ti, i is 1 … … n;
step nine: drawing all the acquired real-time equipment voltage information Qi into a line drawing by taking the time length as a horizontal axis and the current magnitude as a vertical axis;
step ten: by the formula Q1+ Q2+ Q3+ … … + Qn ═ QAndall voltages and Q are obtainedAnd；
step eleven: then by the formula QAnd/g＝Qare all made ofTo obtain the final voltage average value QAre all made of；
Step twelve: any two points on the line graph are extracted to obtain Qn-1 and Qn, and Qn-1 and the voltage mean value T are calculatedAre all made ofDifference value of (Qz 1)Difference (D)Then calculate Qn and QAre all made ofDifference value of (Qz 2)Difference (D)；
Step thirteen: then calculate | Qz1Difference (D)And Qz2Difference (D)The sum of |, results in QzAndcontinuously obtaining d number of TzAnd；
fourteen steps: the predetermined current threshold is labeled as P2, and Qz is calculatedAndthe difference with P2 is used to obtain a second scoring coefficient QpDifference (D)；
Step fifteen: when the first score coefficient TpDifference (D)And a second scoring coefficient QpDifference (D)When the values are all larger than the preset value, three-level scores are generated, and a first scoring coefficient TpDifference (D)And a second scoring coefficient QpDifference (D)When the values are within the preset value range, the second score is generated, and when the first score coefficient TpDifference (D)And a second scoring coefficient QpDifference (D)When the values are all smaller than the preset value, a first score is generated;
and after the equipment rating information is that the third grade score is converted into an equipment rating instruction and is sent to the display terminal, the display terminal displays that the equipment is unstable and needs to be replaced, after the equipment rating information is that the second grade score is converted into an equipment rating instruction and is sent to the display terminal, the display terminal displays that the equipment is unstable and needs to be overhauled, and after the equipment rating information is that the first grade score is converted into an equipment rating instruction and is sent to the display terminal, the display terminal displays that the equipment is stable.
5. The big-data-based power electricity saving effect analysis system according to claim 1, wherein the electricity saving assessment information includes electricity saving information, average energy consumption information and high energy consumption information, and the specific processing procedure of the electricity saving assessment information is as follows:
the method comprises the following steps: extracting the unit time electric quantity information of the equipment to be evaluated, which is acquired in real time, and marking the unit time electric quantity information as F1;
step two: extracting the first three with the minimum electricity consumption per unit time in the recommendation equipment, and respectively marking the electricity consumption per unit time as F2, F3 and F4;
step three: calculating the difference between F1 and F2, the difference between F1 and F3 and the difference between F1 and F4 to obtain final differences Fc1, Fc2 and Fc 3;
step four: by the formula Fc1+ Fc2+ Fc3 ═ FcAndto obtain a difference value and FcAnd；
step five: then through the formula FcAndcalculating an evaluation coefficient Fk, generating high energy consumption information when the evaluation coefficient Fk is larger than a preset value, generating average energy consumption information when the evaluation coefficient Fk is within a preset value range, and generating power saving information when the evaluation coefficient Fk is smaller than the preset value;
after the power saving evaluation information is high energy consumption information and is converted into a power saving evaluation instruction to be sent to the display terminal, the display terminal displays that the equipment is high energy consumption equipment, after the power saving evaluation information is average energy consumption information and is converted into a power saving evaluation instruction to be sent to the display terminal, the display terminal displays that the equipment is average equipment, after the power saving evaluation information is power saving information and is converted into a power saving evaluation instruction to be sent to the display terminal, the display terminal displays that the equipment is power saving equipment.
CN202010583373.1A 2020-06-23 2020-06-23 Big data-based electric power electricity-saving effect analysis system Withdrawn CN111724075A (en)

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Cited By (6)

* Cited by examiner, † Cited by third party
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CN112180241A (en) * 2020-10-13 2021-01-05 合肥泽延微电子有限公司 Integrated circuit simulation debugging time management system
CN112684242A (en) * 2020-10-26 2021-04-20 国网安徽省电力有限公司信息通信分公司 Big data-based electric power system analysis and early warning method
CN113050484A (en) * 2021-03-10 2021-06-29 安徽超清科技股份有限公司 Equipment monitoring system based on industrial internet
CN113050593A (en) * 2021-03-10 2021-06-29 安徽超清科技股份有限公司 Equipment diagnosis maintenance system based on 5G
CN113487368A (en) * 2021-07-29 2021-10-08 宿迁市盛邦信息科技有限公司 Scientific and technological information push service system based on big data
CN117130332A (en) * 2023-08-29 2023-11-28 西安速度时空大数据科技有限公司 Intelligent monitoring system for production line of military industry enterprise based on data analysis

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112180241A (en) * 2020-10-13 2021-01-05 合肥泽延微电子有限公司 Integrated circuit simulation debugging time management system
CN112180241B (en) * 2020-10-13 2024-04-12 合肥泽延微电子有限公司 Management system for integrated circuit simulation debugging machine
CN112684242A (en) * 2020-10-26 2021-04-20 国网安徽省电力有限公司信息通信分公司 Big data-based electric power system analysis and early warning method
CN113050484A (en) * 2021-03-10 2021-06-29 安徽超清科技股份有限公司 Equipment monitoring system based on industrial internet
CN113050593A (en) * 2021-03-10 2021-06-29 安徽超清科技股份有限公司 Equipment diagnosis maintenance system based on 5G
CN113487368A (en) * 2021-07-29 2021-10-08 宿迁市盛邦信息科技有限公司 Scientific and technological information push service system based on big data
CN117130332A (en) * 2023-08-29 2023-11-28 西安速度时空大数据科技有限公司 Intelligent monitoring system for production line of military industry enterprise based on data analysis

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Application publication date: 20200929