CN113793014A - Energy consumption monitoring and evaluation analysis system and method based on carbon peak - Google Patents
Energy consumption monitoring and evaluation analysis system and method based on carbon peak Download PDFInfo
- Publication number
- CN113793014A CN113793014A CN202111052979.3A CN202111052979A CN113793014A CN 113793014 A CN113793014 A CN 113793014A CN 202111052979 A CN202111052979 A CN 202111052979A CN 113793014 A CN113793014 A CN 113793014A
- Authority
- CN
- China
- Prior art keywords
- unit
- module
- monitoring
- data
- analysis
- 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.)
- Granted
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 144
- 238000004458 analytical method Methods 0.000 title claims abstract description 133
- 238000011156 evaluation Methods 0.000 title claims abstract description 99
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 title claims abstract description 40
- 229910052799 carbon Inorganic materials 0.000 title claims abstract description 40
- 238000005265 energy consumption Methods 0.000 title claims abstract description 30
- 238000000034 method Methods 0.000 title claims abstract description 19
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 claims abstract description 22
- 238000004140 cleaning Methods 0.000 claims abstract description 22
- 229910002092 carbon dioxide Inorganic materials 0.000 claims abstract description 11
- 239000001569 carbon dioxide Substances 0.000 claims abstract description 11
- 238000001514 detection method Methods 0.000 claims description 90
- 238000012806 monitoring device Methods 0.000 claims description 33
- 230000007246 mechanism Effects 0.000 claims description 29
- 238000012795 verification Methods 0.000 claims description 28
- 238000002360 preparation method Methods 0.000 claims description 22
- 238000001914 filtration Methods 0.000 claims description 20
- 230000010354 integration Effects 0.000 claims description 13
- 230000002457 bidirectional effect Effects 0.000 claims description 12
- 238000000605 extraction Methods 0.000 claims description 11
- 238000005516 engineering process Methods 0.000 claims description 8
- 238000005086 pumping Methods 0.000 claims description 8
- 238000012351 Integrated analysis Methods 0.000 claims description 7
- 238000007599 discharging Methods 0.000 claims description 6
- 230000009897 systematic effect Effects 0.000 claims description 6
- 238000007405 data analysis Methods 0.000 claims description 3
- 239000012535 impurity Substances 0.000 claims description 3
- 238000012423 maintenance Methods 0.000 claims description 2
- 238000010606 normalization Methods 0.000 claims description 2
- 238000012552 review Methods 0.000 claims description 2
- 238000011160 research Methods 0.000 abstract description 9
- 238000012545 processing Methods 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 description 9
- 230000005540 biological transmission Effects 0.000 description 7
- 230000009471 action Effects 0.000 description 3
- 238000013500 data storage Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 230000008439 repair process Effects 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006386 neutralization reaction Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N1/00—Sampling; Preparing specimens for investigation
- G01N1/02—Devices for withdrawing samples
- G01N1/10—Devices for withdrawing samples in the liquid or fluent state
- G01N1/14—Suction devices, e.g. pumps; Ejector devices
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N1/00—Sampling; Preparing specimens for investigation
- G01N1/28—Preparing specimens for investigation including physical details of (bio-)chemical methods covered elsewhere, e.g. G01N33/50, C12Q
- G01N1/34—Purifying; Cleaning
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0027—General constructional details of gas analysers, e.g. portable test equipment concerning the detector
- G01N33/0036—General constructional details of gas analysers, e.g. portable test equipment concerning the detector specially adapted to detect a particular component
- G01N33/004—CO or CO2
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/007—Arrangements to check the analyser
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/14—Error detection or correction of the data by redundancy in operation
- G06F11/1402—Saving, restoring, recovering or retrying
- G06F11/1446—Point-in-time backing up or restoration of persistent data
-
- 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- 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
-
- 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
- Y02P90/84—Greenhouse gas [GHG] management systems
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Chemical & Material Sciences (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Human Resources & Organizations (AREA)
- General Health & Medical Sciences (AREA)
- Biochemistry (AREA)
- Analytical Chemistry (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Theoretical Computer Science (AREA)
- Economics (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Tourism & Hospitality (AREA)
- Strategic Management (AREA)
- Marketing (AREA)
- Medicinal Chemistry (AREA)
- Quality & Reliability (AREA)
- Entrepreneurship & Innovation (AREA)
- Combustion & Propulsion (AREA)
- Food Science & Technology (AREA)
- General Business, Economics & Management (AREA)
- Hydrology & Water Resources (AREA)
- Primary Health Care (AREA)
- Biomedical Technology (AREA)
- Molecular Biology (AREA)
- General Engineering & Computer Science (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Separation By Low-Temperature Treatments (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
The invention discloses an energy consumption monitoring and evaluation analysis system and method based on carbon peak, which comprises a monitoring system, an analysis system, an evaluation system and a backup system, wherein the output end of the monitoring system is respectively connected with the input ends of the analysis system and the backup system. This energy consumption monitoring and evaluation analysis system and method based on carbon reaches peak, through the combination of air monitoring unit, last monitoring unit, data backup unit, data sharing unit, equipment cleaning unit, equipment detecting element, make monitoring system cooperate current monitoring facilities to monitor the energy consumption in order to obtain the emission of carbon dioxide, make the energy consumption monitoring can incessant, the going on of continuation, also can transmit monitoring result and internet access, accelerate the processing of monitoring data, thereby mention the efficiency of carbon reaches peak research, thereby the problem that current carbon reaches peak research receives technical influence and therefore efficiency is lower has been solved through the combination of above-mentioned structure.
Description
Technical Field
The invention relates to the technical field of carbon peak-reaching monitoring, in particular to a system and a method for monitoring, evaluating and analyzing energy consumption based on carbon peak-reaching.
Background
Carbon peak reaching means that the annual carbon dioxide emission of a certain area or industry reaches the historical maximum value, then the carbon dioxide emission enters the continuous descending process through the plateau period, the carbon dioxide emission is the historical inflection point of the carbon dioxide emission from increasing to descending, the carbon emission and economic development are marked to realize decoupling, and the peak reaching target comprises the peak reaching year and the peak value.
The research aiming at carbon peak-to-peak needs to continuously and uninterruptedly monitor the energy consumption, however, in the prior art, the monitoring equipment is limited to monitor the energy consumption, and then the monitoring data is processed manually, and systematic and comprehensive monitoring and evaluation analysis cannot be formed, so that the research and analysis efficiency of carbon neutralization and carbon peak-to-peak is low, and therefore the problem needs to be solved.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a carbon peak-reaching-based energy consumption monitoring and evaluation analysis system and method, and solves the problem that the existing carbon peak-reaching research is influenced by the technology and has lower efficiency.
In order to achieve the purpose, the invention is realized by the following technical scheme: the energy consumption monitoring and evaluation analysis system based on the carbon peak, which comprises a monitoring system, an analysis system, an evaluation system and a backup system, wherein the output end of the monitoring system is respectively connected with the input ends of the analysis system and the backup system, the analysis system and the backup system are in two-phase connection, the output end of the analysis system is connected with the input end of the evaluation system, the output end of the evaluation system is connected with the input end of the backup system, the monitoring system comprises an air monitoring unit, a continuous monitoring unit, a data recording unit, a data backup unit, a data sharing unit, an equipment cleaning unit and an equipment detection unit, the output end of the equipment detection unit is connected with the output end of the air monitoring unit, the output end of the air monitoring unit is respectively connected with the input ends of the continuous monitoring unit and the data recording unit, and the output end of the continuous monitoring unit is respectively connected with the input ends of the data recording unit and the equipment cleaning unit, the output end of the data recording unit is connected with the input ends of the data backup unit and the data sharing unit respectively, and the output end of the data backup unit is connected with the input end of the data sharing unit.
Preferably, the air monitoring unit comprises an air extraction module, an air filtering module, an air detection module, a data uploading module and an air discharge module, wherein the output end of the air extraction module is connected with the input end of the air filtering module, the output end of the air filtering module is connected with the input end of the air detection module, the output end of the air detection module is connected with the input end of the data uploading module, and the output end of the data uploading module is connected with the input end of the air discharge module.
Preferably, the data recording unit comprises a data recording module, a recording checking module, a failure preparation module, a data sending module and a sending monitoring module, the output end of the data recording module is connected with the input end of the recording checking module, the output end of the recording checking module is respectively connected with the input ends of the failure preparation module and the data sending module, the output end of the failure preparation module is connected with the input end of the data sending module, and the output end of the sending monitoring module is respectively connected with the input ends of the data sending module and the failure preparation module.
Preferably, the equipment detection unit comprises an operation detection module, an equipment detection module, a detection check module, a fault alarm module and an operation monitoring module, wherein the output end of the operation detection module is connected with the input end of the equipment detection module, the output end of the equipment detection module is connected with the input end of the detection check module, the output end of the detection check module is connected with the input end of the fault alarm module, the output end of the fault alarm module is connected with the input end of the operation monitoring module, and the output end of the operation monitoring module is connected with the input end of the operation detection module.
Preferably, the analysis system comprises a data receiving unit, a data integrating unit, a graph sorting unit, a graph analysis unit and a result uploading unit, wherein the output end of the data receiving unit is connected with the input end of the data integrating unit, the output end of the data integrating unit is connected with the input end of the graph sorting unit, the output end of the graph sorting unit is connected with the input end of the graph analysis unit, and the output end of the graph analysis unit is connected with the input end of the result uploading unit.
Preferably, the graphic analysis unit comprises an area analysis module, a category analysis module, a comprehensive analysis module, an analysis and verification module and an analysis and integration module, wherein the output end of the area analysis module is connected with the input end of the category analysis module, the output end of the category analysis module is connected with the input end of the comprehensive analysis module, the output end of the comprehensive analysis module is connected with the input end of the analysis and verification module, and the output end of the analysis and verification module is connected with the input end of the analysis and integration module.
Preferably, the evaluation system comprises an overall evaluation unit, a classification evaluation unit, an evaluation classification unit and a data disclosure unit, wherein the output end of the overall evaluation unit is connected with the input end of the classification evaluation unit, the output end of the classification evaluation unit is connected with the input end of the evaluation classification unit, and the output end of the evaluation classification unit is connected with the input end of the data disclosure unit.
Preferably, the backup system comprises a backup receiving unit, a hardware backup unit, a network backup unit, and a backup sending unit, wherein the backup receiving unit and the hardware backup unit are connected in a bidirectional manner, the backup receiving unit and the network backup unit are connected in a bidirectional manner, the backup sending unit and the hardware backup unit are connected in a bidirectional manner, and the backup sending unit and the network backup unit are connected in a bidirectional manner.
The invention also discloses a carbon peak-reaching-based energy consumption monitoring and evaluation analysis method, which specifically comprises the following steps:
s1, emission monitoring: firstly, the operation detection module carries out starting detection on a monitoring device, then the equipment detection module detects each function of the monitoring device and is matched with the monitoring and checking module to check a detection result, the fault alarm module can warn the fault result so as to repair and replace the monitoring device, the operation detection module continuously monitors the operating monitoring device after the detection result is normal, then the air extraction module controls the pumping mechanism of the monitoring device to extract air in a monitoring area, the air filtration module controls the filtration mechanism of the monitoring device to filter the air so as to avoid the influence of impurities in the air on the detection structure, the air detection module controls the detection mechanism of the monitoring device to detect the content of carbon dioxide in the air, the data uploading module uploads the detection data to the recording module, and after the recording and checking module detects the data, the air discharge module controls the pumping mechanism to completely discharge the air in the device, the data storage and fault detection device comprises a data sending module, a data sharing unit, a sending monitoring module, a fault preparation module, a data backup unit, a continuous monitoring unit, a device cleaning unit and a monitoring device, wherein the data sending module is matched with the data sharing unit to send a detection result, the sending monitoring module is used for detecting the data sending module, the fault preparation module belongs to a preparation means, and is matched with the data backup unit to carry out emergency storage and sending when data storage and fault occur, and after single detection is finished, the continuous monitoring unit controls the monitoring device to carry out self-cleaning and monitoring again through the device cleaning unit;
s2, data analysis: a data receiving unit of the analysis system 2 receives monitoring results sent by the monitoring system and information stored by the internet or a backup system, then a data integrating unit integrates and normalizes the monitoring data according to date, place, specific monitored entity and information of products produced by the entity, a graph sorting unit forms the integrated information into a trend graph for analysis, a region analysis module, a type analysis module and a comprehensive analysis module analyze the integrated information according to the trend graph in terms of date, region, place, entity type, product type, policy, economy and the like, an analysis and verification module performs rechecking and verification on the analysis results by matching with big data, then the analysis and normalization module integrates the verified analysis results, and a result uploading unit uploads the integrated analysis results;
s3, evaluation of results: the overall evaluation unit and the classification evaluation unit perform systematic evaluation and single-point detailed evaluation on the analysis results, the evaluation classification unit performs integrated sorting and classification on all the evaluation results, and then the data disclosure unit publishes the integrated analysis results and evaluation results on the Internet and transmits the analysis results and evaluation results to a backup system for backup.
Preferably, the monitoring device mentioned in S1 is composed of an air pumping mechanism, an air filtering mechanism, a cleaning mechanism and a carbon content monitoring mechanism, and the above mentioned technologies are all the existing mature technologies, and the evaluation mentioned in S3 is evaluated according to the existing standard.
Advantageous effects
The invention provides a carbon peak-reaching-based energy consumption monitoring, evaluating and analyzing system and method. Compared with the prior art, the method has the following beneficial effects:
(1) the output end of the monitoring system is connected with the input end of the evaluation system, the output end of the evaluation system is connected with the input end of the backup system, the monitoring system comprises an air monitoring unit, a continuous monitoring unit, a data recording unit, a data backup unit, a data sharing unit, an equipment cleaning unit and an equipment detection unit, the output end of the equipment detection unit is connected with the output end of the air monitoring unit, the output end of the air monitoring unit is connected with the input ends of the continuous monitoring unit and the data recording unit respectively, and the output end of the continuous monitoring unit is connected with the input ends of the data recording unit and the equipment cleaning unit respectively, the output end of the data recording unit is respectively connected with the input ends of the data backup unit and the data sharing unit, the output end of the data backup unit is connected with the input end of the data sharing unit, through the combination of the air monitoring unit, the continuous monitoring unit, the data backup unit, the data sharing unit, the equipment cleaning unit and the equipment detection unit, the monitoring system is matched with the existing monitoring equipment to monitor the energy consumption so as to obtain the emission of the carbon dioxide, meanwhile, the monitoring system can lead the existing equipment to be capable of carrying out detection, monitoring and cleaning autonomously, lead the energy consumption monitoring to be capable of being carried out uninterruptedly and continuously, simultaneously can also lead the monitoring result to be connected with the network for transmission, quickens the processing of the monitoring data, therefore, the efficiency of carbon peak-reaching research is improved, and the problem that the existing carbon peak-reaching research is influenced by technology and therefore is low in efficiency is solved through the combination of the structures.
(2) The analysis system comprises a data receiving unit, a data integrating unit, a graph sorting unit, a graph analysis unit and a result uploading unit, wherein the output end of the data receiving unit is connected with the input end of the data integrating unit, the output end of the data integrating unit is connected with the input end of the graph sorting unit, the output end of the graph sorting unit is connected with the input end of the graph analysis unit, the output end of the graph analysis unit is connected with the input end of the result uploading unit, and through the combination of the data receiving unit, the data integrating unit, the graph sorting unit, the graph analysis unit and the result uploading unit, the analysis system obtains the monitoring data of the previous year through the existing monitoring data and the internet, integrates all the data, and then forms a regular trend graph of carbon emission, and then, according to various factors such as time, place, emission target, policy, economy and the like, analyzing the carbon emission trend graph, and rechecking and checking the analysis result through internet big data, thereby rapidly finishing the processing of monitoring data.
(3) The output end of the integral evaluation unit is connected with the input end of the classification evaluation unit, the output end of the classification evaluation unit is connected with the input end of the evaluation classification unit, the output end of the evaluation classification unit is connected with the input end of the data disclosure unit, the combination of the integral evaluation unit, the classification evaluation unit, the evaluation classification unit and the data disclosure unit enables the evaluation system to carry out systematic integral evaluation and comprehensive detailed evaluation on the analysis result of the analysis system according to various factors and the existing evaluation standard, integrates and classifies all the evaluations, stores and publishes the integrated analysis result and evaluation result, thereby greatly accelerating the research on carbon peak-reaching, the problem that the existing carbon peak-reaching research is influenced by technology and therefore efficiency is low is solved through the combination of the structures.
Drawings
FIG. 1 is a schematic block diagram of the system of the present invention;
FIG. 2 is a schematic block diagram of the monitoring system of the present invention;
FIG. 3 is a schematic block diagram of an air monitoring unit of the present invention;
FIG. 4 is a schematic block diagram of a data logging unit of the present invention;
FIG. 5 is a schematic block diagram of a detection unit of the apparatus of the present invention;
FIG. 6 is a functional block diagram of an analysis system of the present invention;
FIG. 7 is a functional block diagram of a graphics analysis unit of the present invention;
FIG. 8 is a functional block diagram of an evaluation system of the present invention;
FIG. 9 is a functional block diagram of a backup system of the present invention;
FIG. 10 is a flow chart of a method implementation of the present invention.
In the figure: 1-monitoring system, 11-air monitoring unit, 111-air extraction module, 112-air filtration module, 113-air detection module, 114-data upload module, 115-air discharge module, 12-continuous monitoring unit, 13-data recording unit, 131-data recording module, 132-recording verification module, 133-fault preparation module, 134-data transmission module, 135-occurrence monitoring module, 14-data backup unit, 15-data sharing unit, 16-equipment cleaning unit, 17-equipment detection unit, 171-operation detection module, 172-equipment detection module, 173-detection verification module, 174-fault alarm module, 175-operation monitoring module, 2-analysis system, 21-a data receiving unit, 22-a data integration unit, 23-a graph sorting unit, 24-a graph analysis unit, 241-an area analysis module, 242-a category analysis module, 243-a comprehensive analysis module, 244-an analysis and verification module, 245-an analysis and integration module, 25-a result uploading unit, 3-an evaluation system, 31-an overall evaluation unit, 32-a classification evaluation unit, 33-an evaluation and classification unit, 34-a data disclosure unit, 4-a backup system, 41-a backup receiving unit, 42-a hardware backup unit, 43-a network backup unit and 44-a backup sending unit.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious 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. 1-10, the present invention provides the following technical solutions: an energy consumption monitoring and evaluation analysis system based on carbon peak, which comprises a monitoring system 1, an analysis system 2, an evaluation system 3 and a backup system 4, wherein the monitoring system is matched with the existing energy consumption monitoring device to work, the energy consumption monitoring device is connected with commercial power and consists of an air pumping mechanism, an air filtering mechanism, a cleaning mechanism and a carbon content monitoring mechanism, the output end of the monitoring system 1 is respectively connected with the input ends of the analysis system 2 and the backup system 4, the analysis system 2 and the backup system 4 realize double-phase connection, the output end of the analysis system 2 is connected with the input end of the evaluation system 3, the output end of the evaluation system 3 is connected with the input end of the backup system 4, the monitoring system 1 comprises an air monitoring unit 11, a continuous monitoring unit 12, a data recording unit 13, a data backup unit 14, a data sharing unit 15, an equipment cleaning unit 16 and an equipment detection unit 17, the continuous monitoring unit 12 enables the monitoring device to continuously and uninterruptedly monitor the energy consumption to ensure the validity of the data, the output end of the equipment detecting unit 17 is connected with the output end of the air monitoring unit 11, the output end of the air monitoring unit 11 is respectively connected with the input ends of the continuous monitoring unit 12 and the data recording unit 13, the output end of the continuous monitoring unit 12 is respectively connected with the input ends of the data recording unit 13 and the equipment cleaning unit 16, the output end of the data recording unit 13 is respectively connected with the input ends of the data backup unit 14 and the data sharing unit 15, the output end of the data backup unit 14 is connected with the input end of the data sharing unit 15, the air monitoring unit 11 comprises an air extracting module 111, an air filtering module 112, an air detecting module 113, a data uploading module 114 and an air discharging module 115, the air detecting module 113 corresponds to the monitoring mechanism of the monitoring device, the existing method for detecting the content of carbon dioxide in air is utilized, the output end of an air extraction module 111 is connected with the input end of an air filtration module 112, the output end of the air filtration module 112 is connected with the input end of an air detection module 113, the output end of the air detection module 113 is connected with the input end of a data uploading module 114, the output end of the data uploading module 114 is connected with the input end of an air discharging module 115, a data recording unit 13 comprises a data recording module 131, a recording verification module 132, a fault preparation module 133, a data sending module 134 and a sending monitoring module 135, the fault preparation module 133 belongs to a preparation means, when a fault occurs in data recording and data sending, the data recording and data sending are matched with a data backup unit 14 to carry out emergency recording and sending, the sending monitoring module 135 carries out real-time monitoring on the data sending module 134 and a data sharing unit 15, and the problem that the data transmission cannot be carried out in time when the fault occurs is avoided, the output end of the data recording module 131 is connected to the input end of the recording verification module 132, the output end of the recording verification module 132 is connected to the input ends of the failure preparation module 133 and the data transmission module 134, the output end of the failure preparation module 133 is connected to the input end of the data transmission module 134, the output end of the transmission monitoring module 135 is connected to the input ends of the data transmission module 134 and the failure preparation module 133, the device detection unit 17 includes an operation detection module 171, a device detection module 172, a detection verification module 173, a failure alarm module 174, and an operation monitoring module 175, the failure alarm module 174 alarms for the failure in the system to facilitate the timely maintenance, thereby ensuring the timeliness and validity of data, the operation monitoring module 175 monitors the operation of the system and the operation of the monitoring device in real time, the output end of the operation detection module 171 is connected to the input end of the device detection module 172, the output end of the device detection module 172 is connected to the input end of the detection and verification module 173, the output end of the detection and verification module 173 is connected to the input end of the fault alarm module 174, the output end of the fault alarm module 174 is connected to the input end of the operation monitoring module 175, the output end of the operation monitoring module 175 is connected to the input end of the operation detection module 171, the analysis system 2 includes a data receiving unit 21, a data integration unit 22, a graph arrangement unit 23, a graph analysis unit 24, and a result uploading unit 25, the output end of the data receiving unit 21 is connected to the input end of the data integration unit 22, the output end of the data integration unit 22 is connected to the input end of the graph arrangement unit 23, the output end of the graph arrangement unit 23 is connected to the input end of the graph analysis unit 24, the output end of the graph analysis unit 24 is connected to the input end of the result uploading unit 25, the graph analysis unit 24 includes a region analysis module 241, a region analysis module 25, The analysis and verification system comprises a category analysis module 242, a comprehensive analysis module 243, an analysis and verification module 244 and an analysis and integration module 245, wherein the graphic analysis unit 24 performs systematic and scientific analysis on the emission of carbon dioxide according to (including but not limited to) a plurality of factors such as time, place, emission target, policy, economy and the like and by matching big data, the output end of the area analysis module 241 is connected with the input end of the category analysis module 242, the output end of the category analysis module 242 is connected with the input end of the comprehensive analysis module 243, the output end of the comprehensive analysis module 243 is connected with the input end of the analysis and verification module 244, the output end of the analysis and verification module 244 is connected with the input end of the analysis and integration module 245, the evaluation system 3 comprises an overall evaluation unit 31, a classification evaluation unit 32, an evaluation and classification unit 33 and a data disclosure unit 34, the output end of the overall evaluation unit 31 is connected with the input end of the classification and evaluation unit 32, the output end of the classification evaluation unit 32 is connected with the input end of the evaluation classification unit 33, the output end of the evaluation classification unit 33 is connected with the input end of the data disclosure unit 34, the backup system 4 includes a backup receiving unit 41, a hardware backup unit 42, a network backup unit 43, and a backup sending unit 44, the hardware backup unit 42 corresponds to the physical storage devices such as hard disks, the network backup unit 43 corresponds to the network storage technologies such as cloud storage, the backup receiving unit 41 and the hardware backup unit 42 realize bidirectional connection, the backup receiving unit 41 and the network backup unit 43 realize bidirectional connection, the backup sending unit 44 and the hardware backup unit 42 realize bidirectional connection, and the backup sending unit 44 and the network backup unit 43 realize bidirectional connection.
The invention also discloses a carbon peak-reaching-based energy consumption monitoring and evaluation analysis method, which specifically comprises the following steps:
s1, emission monitoring: firstly, the operation detection module 171 performs start-up detection on the monitoring device, then the device detection module 172 detects each function of the monitoring device, and the detection result is verified by matching with the monitoring verification module 173, the fault alarm module 174 can warn the fault result so as to repair and replace the monitoring device, after the detection result is normal, the operation detection module 175 continuously monitors the operated monitoring device, then the air extraction module 111 controls the extraction mechanism of the monitoring device to extract air in the monitoring area, the air filtration module 112 controls the filtration mechanism of the monitoring device to filter the air so as to avoid the influence of impurities in the air on the detection structure, the air detection module 113 controls the detection mechanism of the monitoring device to detect the content of carbon dioxide in the air, the data uploading module 114 uploads the detection data to the recording and storing module 131, and the recording and verifying module 132 records the detection data, the air discharging module 115 controls the pumping mechanism to completely discharge air in the device, then a detection result is sent by the data sending module 134 in cooperation with the data sharing unit 15, the sending monitoring module 135 detects the data sending module 134, the failure preparation module 133 belongs to a preparation means, when data recording and failure occur, the data storage and failure are in cooperation with the data backup unit 14 for emergency recording and sending, and after single detection is completed, the continuous monitoring unit 12 controls the monitoring device to automatically clean and monitor again through the equipment cleaning unit 16;
s2, data analysis: the data receiving unit 21 of the analysis system 2 receives the monitoring results from the monitoring system 1, and receives the information stored in the internet or the backup system 4, then the data integration unit 22 integrates and normalizes the monitoring data according to the date, the location, the specific monitored entity and the information of the product produced by the entity, the graph arrangement unit 23 forms the integrated information into a trend graph for analysis, the region analysis module 241, the category analysis module 242, and the comprehensive analysis module 243 perform comprehensive and single-point analysis according to the trend graph in terms of date, region, location, entity category, product category, policy, economy, etc., the analysis and verification module 244 performs review and verification on the analysis result in cooperation with big data, then, the analysis and integration module 245 integrates the verified analysis results, and the result uploading unit 25 uploads the integrated analysis results;
s3, evaluation of results: the overall evaluation unit 31 and the classification evaluation unit 32 perform systematic evaluation and single-point detailed evaluation on the analysis results, the evaluation classification unit 33 integrates, sorts and classifies all the evaluation results, and the data disclosure unit 34 publishes the integrated analysis results and evaluation results on the internet and simultaneously transmits the analysis results and evaluation results to the backup system 4 for backup.
In the present invention, the monitoring device mentioned in S1 is composed of an air pumping mechanism, an air filtering mechanism, a cleaning mechanism and a carbon content monitoring mechanism, and the above mentioned techniques are all the existing mature techniques, and the evaluation mentioned in S3 is evaluated according to the existing standard.
And those not described in detail in this specification are well within the skill of those in the art.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. Energy consumption monitoring and evaluation analytic system based on carbon peak, including monitoring system (1), analytic system (2), evaluation system (3) and backup system (4), the output of monitoring system (1) is connected with analytic system (2) and backup system's (4) input respectively, analytic system (2) and backup system (4) realize the diphase and are connected, the output of analytic system (2) is connected with the input of analytic system (3), the output of evaluation system (3) is connected with the input of backup system (4), its characterized in that: the monitoring system (1) comprises an air monitoring unit (11), a continuous monitoring unit (12), a data recording and storing unit (13), a data backup unit (14), a data sharing unit (15), an equipment cleaning unit (16) and an equipment detection unit (17), the output end of the equipment detection unit (17) is connected with the output end of the air monitoring unit (11), the output end of the air monitoring unit (11) is respectively connected with the input ends of the continuous monitoring unit (12) and the data recording unit (13), the output end of the continuous monitoring unit (12) is respectively connected with the input ends of the data recording unit (13) and the equipment cleaning unit (16), the output end of the data recording unit (13) is respectively connected with the input ends of the data backup unit (14) and the data sharing unit (15), the output end of the data backup unit (14) is connected with the input end of the data sharing unit (15).
2. The system for monitoring, evaluating and analyzing energy consumption based on carbon peak-to-peak as claimed in claim 1, wherein: the air monitoring unit (11) comprises an air extraction module (111), an air filtering module (112), an air detection module (113), a data uploading module (114) and an air discharging module (115), wherein the output end of the air extraction module (111) is connected with the input end of the air filtering module (112), the output end of the air filtering module (112) is connected with the input end of the air detection module (113), the output end of the air detection module (113) is connected with the input end of the data uploading module (114), and the output end of the data uploading module (114) is connected with the input end of the air discharging module (115).
3. The system for monitoring, evaluating and analyzing energy consumption based on carbon peak-to-peak as claimed in claim 1, wherein: the data logging unit (13) comprises a data logging module (131), a logging checking module (132), a fault preparation module (133), a data sending module (134) and a sending monitoring module (135), wherein the output end of the data logging module (131) is connected with the input end of the logging checking module (132), the output end of the logging checking module (132) is connected with the input ends of the fault preparation module (133) and the data sending module (134) respectively, the output end of the fault preparation module (133) is connected with the input end of the data sending module (134), and the output end of the sending monitoring module (135) is connected with the input ends of the data sending module (134) and the fault preparation module (133) respectively.
4. The system for monitoring, evaluating and analyzing energy consumption based on carbon peak-to-peak as claimed in claim 1, wherein: the equipment detection unit (17) comprises an operation detection module (171), an equipment detection module (172), a detection verification module (173), a fault alarm module (174) and an operation monitoring module (175), wherein the output end of the operation detection module (171) is connected with the input end of the equipment detection module (172), the output end of the equipment detection module (172) is connected with the input end of the detection verification module (173), the output end of the detection verification module (173) is connected with the input end of the fault alarm module (174), the output end of the fault alarm module (174) is connected with the input end of the operation monitoring module (175), and the output end of the operation monitoring module (175) is connected with the input end of the operation detection module (171).
5. The system for monitoring, evaluating and analyzing energy consumption based on carbon peak-to-peak as claimed in claim 1, wherein: the analysis system (2) comprises a data receiving unit (21), a data integrating unit (22), a graph sorting unit (23), a graph analysis unit (24) and a result uploading unit (25), wherein the output end of the data receiving unit (21) is connected with the input end of the data integrating unit (22), the output end of the data integrating unit (22) is connected with the input end of the graph sorting unit (23), the output end of the graph sorting unit (23) is connected with the input end of the graph analysis unit (24), and the output end of the graph analysis unit (24) is connected with the input end of the result uploading unit (25).
6. The system for monitoring, evaluating and analyzing energy consumption based on carbon peak-to-peak as claimed in claim 1, wherein: the graphic analysis unit (24) comprises an area analysis module (241), a category analysis module (242), a comprehensive analysis module (243), an analysis check module (244) and an analysis integration module (245), wherein the output end of the area analysis module (241) is connected with the input end of the category analysis module (242), the output end of the category analysis module (242) is connected with the input end of the comprehensive analysis module (243), the output end of the comprehensive analysis module (243) is connected with the input end of the analysis check module (244), and the output end of the analysis check module (244) is connected with the input end of the analysis integration module (245).
7. The system for monitoring, evaluating and analyzing energy consumption based on carbon peak-to-peak as claimed in claim 1, wherein: the evaluation system (3) comprises an overall evaluation unit (31), a classification evaluation unit (32), an evaluation classification unit (33) and a data disclosure unit (34), wherein the output end of the overall evaluation unit (31) is connected with the input end of the classification evaluation unit (32), the output end of the classification evaluation unit (32) is connected with the input end of the evaluation classification unit (33), and the output end of the evaluation classification unit (33) is connected with the input end of the data disclosure unit (34).
8. The system for monitoring, evaluating and analyzing energy consumption based on carbon peak-to-peak as claimed in claim 1, wherein: the backup system (4) comprises a backup receiving unit (41), a hardware backup unit (42), a network backup unit (43) and a backup sending unit (44), wherein the backup receiving unit (41) and the hardware backup unit (42) are in bidirectional connection, the backup receiving unit (41) and the network backup unit (43) are in bidirectional connection, the backup sending unit (44) and the hardware backup unit (42) are in bidirectional connection, and the backup sending unit (44) and the network backup unit (43) are in bidirectional connection.
9. The energy consumption monitoring and evaluation analysis method based on carbon peak arrival is characterized by comprising the following steps: the method specifically comprises the following steps:
s1, emission monitoring: firstly, a detection module (171) is operated to carry out start-up detection on a monitoring device, then an equipment detection module (172) detects each function of the monitoring device, and the detection result is verified by matching with a monitoring verification module (173), a fault alarm module (174) can warn the fault result so as to be convenient for maintenance and replacement of the monitoring device, after the detection result is normal, the detection module (175) is operated to continuously monitor the operating monitoring device, then an air extraction module (111) controls an extraction mechanism of the monitoring device to extract air in a monitoring area, an air filtration module (112) controls a filtration mechanism of the monitoring device to filter the air so as to avoid impurities in the air from influencing a detection structure, an air detection module (113) controls a detection mechanism of the monitoring device to detect the content of carbon dioxide in the air, and a data uploading module (114) uploads the detected data to a recording and storing module (131), after the data recording and verification module (132) detects data recording, the air discharge module (115) controls the pumping and discharging mechanism to completely discharge air in the device, then a detection result is sent by the data sending module (134) in cooperation with the data sharing unit (15), the sending monitoring module (135) detects the data sending module (134), the fault preparation module (133) belongs to a preparation means, when the data recording and the fault occur, the data are in cooperation with the data backup unit (14) to carry out emergency recording and sending, and after single detection is completed, the continuous monitoring unit (12) controls the monitoring device to carry out self-cleaning and monitoring again through the equipment cleaning unit (16);
s2, data analysis: a data receiving unit (21) of the analysis system 2 receives the monitoring results sent by the monitoring system (1) and receives information stored in the internet or a backup system (4), then a data integrating unit (22) integrates and normalizes the monitoring data according to the date, the place, the specific monitored entity and the information of products produced by the entity, a graph organizing unit (23) forms the integrated information into a trend graph for analysis, a region analysis module (241), a category analysis module (242) and a comprehensive analysis module (243) carry out comprehensive and single-point analysis according to the trend graph according to the date, the region, the place, the entity category, the product category, the policy, the economy and other aspects, an analysis and verification module (244) carries out review and verification on the analysis results by matching with big data, and then an analysis and normalization module (245) integrates the verified analysis results, a result uploading unit (25) uploads the integrated analysis result;
s3, evaluation of results: the overall evaluation unit (31) and the classification evaluation unit (32) perform systematic evaluation and single-point detailed evaluation on the analysis results, the evaluation classification unit (33) integrates, sorts and classifies all the evaluation results, and then the data disclosure unit (34) publishes the integrated analysis results and evaluation results on the internet and simultaneously transmits the analysis results and evaluation results to the backup system (4) for backup.
10. The method for monitoring, evaluating and analyzing energy consumption based on carbon peak-to-peak as claimed in claim 1, wherein: the monitoring device mentioned in S1 is composed of an air pumping and exhausting mechanism, an air filtering mechanism, a cleaning mechanism and a carbon content monitoring mechanism, and the above mentioned technologies are all existing mature technologies, and the evaluation mentioned in S3 is evaluated according to the existing standard.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111052979.3A CN113793014B (en) | 2021-09-07 | 2021-09-07 | System and method for monitoring, evaluating and analyzing energy consumption based on carbon reaching peak |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111052979.3A CN113793014B (en) | 2021-09-07 | 2021-09-07 | System and method for monitoring, evaluating and analyzing energy consumption based on carbon reaching peak |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113793014A true CN113793014A (en) | 2021-12-14 |
| CN113793014B CN113793014B (en) | 2024-06-18 |
Family
ID=79182793
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111052979.3A Active CN113793014B (en) | 2021-09-07 | 2021-09-07 | System and method for monitoring, evaluating and analyzing energy consumption based on carbon reaching peak |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113793014B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114432809A (en) * | 2021-12-31 | 2022-05-06 | 安徽华塑股份有限公司 | Lime kiln carbon dioxide entrapment utilizes system |
| CN117077682A (en) * | 2023-05-06 | 2023-11-17 | 西安公路研究院南京院 | Document analysis method and system based on semantic recognition |
Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080150736A1 (en) * | 2006-12-20 | 2008-06-26 | Hsin-Fa Fang | Management system with real-time interaction for enviromental monitoring and method thereof |
| CN206497100U (en) * | 2017-03-07 | 2017-09-15 | 中国科学院城市环境研究所 | A kind of gas discharges comprehensive monitor system |
| CN108731184A (en) * | 2018-06-12 | 2018-11-02 | 湖北仁威电业科技有限公司 | A kind of central air conditioner energy efficiency monitoring system |
| CN109283898A (en) * | 2018-09-03 | 2019-01-29 | 安徽伟迈信息技术有限公司 | A kind of plant area's energy consumption monitoring management system |
| CN109301935A (en) * | 2018-10-11 | 2019-02-01 | 云南电网有限责任公司玉溪供电局 | A kind of monitoring method and system of power quality operation decision support |
| CN109737574A (en) * | 2018-12-27 | 2019-05-10 | 北京航天智造科技发展有限公司 | Central air conditioning energy-consumption monitoring method and system |
| CN110411514A (en) * | 2019-08-02 | 2019-11-05 | 合肥融庄电子科技有限公司 | A kind of building intellectualization environmental monitoring system |
| CN110505299A (en) * | 2019-08-25 | 2019-11-26 | 沃航（武汉）科技股份有限公司 | A kind of urban air Real Time Monitoring management platform |
| CN111879363A (en) * | 2020-08-11 | 2020-11-03 | 广东敏义环境科技有限公司 | Operation maintenance method and system for automatic environment monitoring device |
| CN112199410A (en) * | 2020-09-15 | 2021-01-08 | 车来军 | Bridge health monitoring system based on Internet of things |
| CN112364073A (en) * | 2020-10-27 | 2021-02-12 | 国网浙江省电力有限公司舟山供电公司 | Energy monitoring method based on big data intelligent analysis technology and energy cloud platform |
| CN112857450A (en) * | 2021-01-20 | 2021-05-28 | 武汉新泽安科技有限公司 | Automatic monitoring system for environmental air quality |
| CN112960553A (en) * | 2021-04-07 | 2021-06-15 | 上海市特种设备监督检验技术研究院 | System and method for monitoring electric energy efficiency of crane hoisting mechanism |
| CN113285974A (en) * | 2021-04-02 | 2021-08-20 | 国网浙江慈溪市供电有限公司 | Enterprise carbon emission monitoring system based on digital twin technology |
-
2021
- 2021-09-07 CN CN202111052979.3A patent/CN113793014B/en active Active
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080150736A1 (en) * | 2006-12-20 | 2008-06-26 | Hsin-Fa Fang | Management system with real-time interaction for enviromental monitoring and method thereof |
| CN206497100U (en) * | 2017-03-07 | 2017-09-15 | 中国科学院城市环境研究所 | A kind of gas discharges comprehensive monitor system |
| CN108731184A (en) * | 2018-06-12 | 2018-11-02 | 湖北仁威电业科技有限公司 | A kind of central air conditioner energy efficiency monitoring system |
| CN109283898A (en) * | 2018-09-03 | 2019-01-29 | 安徽伟迈信息技术有限公司 | A kind of plant area's energy consumption monitoring management system |
| CN109301935A (en) * | 2018-10-11 | 2019-02-01 | 云南电网有限责任公司玉溪供电局 | A kind of monitoring method and system of power quality operation decision support |
| CN109737574A (en) * | 2018-12-27 | 2019-05-10 | 北京航天智造科技发展有限公司 | Central air conditioning energy-consumption monitoring method and system |
| CN110411514A (en) * | 2019-08-02 | 2019-11-05 | 合肥融庄电子科技有限公司 | A kind of building intellectualization environmental monitoring system |
| CN110505299A (en) * | 2019-08-25 | 2019-11-26 | 沃航（武汉）科技股份有限公司 | A kind of urban air Real Time Monitoring management platform |
| CN111879363A (en) * | 2020-08-11 | 2020-11-03 | 广东敏义环境科技有限公司 | Operation maintenance method and system for automatic environment monitoring device |
| CN112199410A (en) * | 2020-09-15 | 2021-01-08 | 车来军 | Bridge health monitoring system based on Internet of things |
| CN112364073A (en) * | 2020-10-27 | 2021-02-12 | 国网浙江省电力有限公司舟山供电公司 | Energy monitoring method based on big data intelligent analysis technology and energy cloud platform |
| CN112857450A (en) * | 2021-01-20 | 2021-05-28 | 武汉新泽安科技有限公司 | Automatic monitoring system for environmental air quality |
| CN113285974A (en) * | 2021-04-02 | 2021-08-20 | 国网浙江慈溪市供电有限公司 | Enterprise carbon emission monitoring system based on digital twin technology |
| CN112960553A (en) * | 2021-04-07 | 2021-06-15 | 上海市特种设备监督检验技术研究院 | System and method for monitoring electric energy efficiency of crane hoisting mechanism |
Non-Patent Citations (2)
| Title |
|---|
| 何跃君;韩秀茹;凌盼;: "环境监测数据综合分析与评价技术研究", 青海环境, no. 01, 25 March 2016 (2016-03-25), pages 18 - 22 * |
| 刘晓武;: "环境监测数据综合分析与评价技术研究", 科学技术创新, no. 24, 25 August 2018 (2018-08-25), pages 63 - 64 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114432809A (en) * | 2021-12-31 | 2022-05-06 | 安徽华塑股份有限公司 | Lime kiln carbon dioxide entrapment utilizes system |
| CN117077682A (en) * | 2023-05-06 | 2023-11-17 | 西安公路研究院南京院 | Document analysis method and system based on semantic recognition |
| CN117077682B (en) * | 2023-05-06 | 2024-06-07 | 西安公路研究院南京院 | Document analysis method and system based on semantic recognition |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113793014B (en) | 2024-06-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113793014A (en) | Energy consumption monitoring and evaluation analysis system and method based on carbon peak | |
| CN111507376B (en) | Single-index anomaly detection method based on fusion of multiple non-supervision methods | |
| CN110990386A (en) | Industrial internet platform monitoring data transmission and exchange method and system | |
| CN107885642A (en) | Business monitoring method and system based on machine learning | |
| CN105045256A (en) | Rail traffic real-time fault diagnosis method and system based on data comparative analysis | |
| CN109586239B (en) | Real-time diagnosis and fault early warning method for intelligent substation | |
| CN115809183A (en) | Method for discovering and disposing information-creating terminal fault based on knowledge graph | |
| CN107765658A (en) | A kind of compressor control method based on Internet of Things, apparatus and system | |
| CN115865649B (en) | Intelligent operation and maintenance management control method, system and storage medium | |
| CN104574219A (en) | System and method for monitoring and early warning of operation conditions of power grid service information system | |
| CN103034207A (en) | Infrastructure health monitoring system and implementation process thereof | |
| CN108981785A (en) | A kind of intelligent Detection of coal breaker equipment safety | |
| CN117453137A (en) | Cloud intelligent operation and maintenance system data management system | |
| CN115952919A (en) | Intelligent risk prediction method based on process mining | |
| CN113938306B (en) | Trusted authentication method and system based on data cleaning rule | |
| CN115150248A (en) | Network flow abnormity detection method and device, electronic equipment and storage medium | |
| CN206108598U (en) | Elevator initiative safety coefficient with online warning function | |
| CN113065798A (en) | Safety production risk early warning method and system | |
| CN113191694A (en) | Novel informatization military industry enterprise quality system management system | |
| CN117331790A (en) | Machine room fault detection method and device for data center | |
| CN117113135A (en) | Carbon emission anomaly monitoring and analyzing system capable of sorting and classifying anomaly data | |
| CN110097657A (en) | A kind of Production of bearing management system and application method | |
| CN115034575A (en) | Service management method based on Internet big data | |
| CN114691405A (en) | Big data based automatic information storage inspection method | |
| CN114626558A (en) | Intelligent industrial production equipment management method and system |
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 |