CN117474250A - New energy multifunctional integrated intelligent application system - Google Patents
New energy multifunctional integrated intelligent application system Download PDFInfo
- Publication number
- CN117474250A CN117474250A CN202311445328.XA CN202311445328A CN117474250A CN 117474250 A CN117474250 A CN 117474250A CN 202311445328 A CN202311445328 A CN 202311445328A CN 117474250 A CN117474250 A CN 117474250A
- Authority
- CN
- China
- Prior art keywords
- module
- energy
- data
- equipment
- energy storage
- 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.)
- Pending
Links
- 238000004146 energy storage Methods 0.000 claims abstract description 54
- 238000003745 diagnosis Methods 0.000 claims abstract description 16
- 230000007613 environmental effect Effects 0.000 claims abstract description 10
- 238000009826 distribution Methods 0.000 claims abstract description 5
- 238000012544 monitoring process Methods 0.000 claims description 36
- 230000005856 abnormality Effects 0.000 claims description 29
- 238000007726 management method Methods 0.000 claims description 28
- 230000002159 abnormal effect Effects 0.000 claims description 23
- 238000001514 detection method Methods 0.000 claims description 18
- 238000004364 calculation method Methods 0.000 claims description 14
- 230000005611 electricity Effects 0.000 claims description 12
- 238000005457 optimization Methods 0.000 claims description 12
- 238000012423 maintenance Methods 0.000 claims description 11
- 238000000034 method Methods 0.000 claims description 10
- 230000008569 process Effects 0.000 claims description 10
- 238000005286 illumination Methods 0.000 claims description 9
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 9
- 230000008859 change Effects 0.000 claims description 8
- 230000000694 effects Effects 0.000 claims description 8
- 238000012795 verification Methods 0.000 claims description 8
- 238000013500 data storage Methods 0.000 claims description 7
- 238000004519 manufacturing process Methods 0.000 claims description 7
- 230000002411 adverse Effects 0.000 claims description 6
- 238000012545 processing Methods 0.000 claims description 6
- 238000003860 storage Methods 0.000 claims description 6
- 238000007405 data analysis Methods 0.000 claims description 4
- 239000003344 environmental pollutant Substances 0.000 claims description 4
- 231100000719 pollutant Toxicity 0.000 claims description 4
- 239000003990 capacitor Substances 0.000 claims description 3
- 238000001816 cooling Methods 0.000 claims description 3
- 230000010485 coping Effects 0.000 claims description 3
- 230000036541 health Effects 0.000 claims description 3
- 230000017525 heat dissipation Effects 0.000 claims description 3
- 238000010438 heat treatment Methods 0.000 claims description 3
- 238000010801 machine learning Methods 0.000 claims description 3
- 238000012552 review Methods 0.000 claims description 3
- 239000002689 soil Substances 0.000 claims description 3
- 239000000126 substance Substances 0.000 claims description 3
- 230000009466 transformation Effects 0.000 claims description 3
- 238000009423 ventilation Methods 0.000 claims description 3
- 239000002912 waste gas Substances 0.000 claims description 3
- 239000002351 wastewater Substances 0.000 claims description 3
- 230000010354 integration Effects 0.000 claims description 2
- 230000009467 reduction Effects 0.000 claims description 2
- 230000001360 synchronised effect Effects 0.000 claims description 2
- 230000007774 longterm Effects 0.000 claims 1
- 238000010248 power generation Methods 0.000 description 9
- 238000010586 diagram Methods 0.000 description 5
- 239000002028 Biomass Substances 0.000 description 1
- 238000003915 air pollution Methods 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000008094 contradictory effect Effects 0.000 description 1
- 238000003912 environmental pollution Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000003306 harvesting Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/50—Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
- G06F21/57—Certifying or maintaining trusted computer platforms, e.g. secure boots or power-downs, version controls, system software checks, secure updates or assessing vulnerabilities
- G06F21/577—Assessing vulnerabilities and evaluating computer system security
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06313—Resource planning in a project environment
-
- 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
- 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
- G06Q50/06—Energy or water supply
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J9/00—Circuit arrangements for emergency or stand-by power supply, e.g. for emergency lighting
- H02J9/04—Circuit arrangements for emergency or stand-by power supply, e.g. for emergency lighting in which the distribution system is disconnected from the normal source and connected to a standby source
- H02J9/06—Circuit arrangements for emergency or stand-by power supply, e.g. for emergency lighting in which the distribution system is disconnected from the normal source and connected to a standby source with automatic change-over, e.g. UPS systems
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
- H02S10/00—PV power plants; Combinations of PV energy systems with other systems for the generation of electric power
- H02S10/10—PV power plants; Combinations of PV energy systems with other systems for the generation of electric power including a supplementary source of electric power, e.g. hybrid diesel-PV energy systems
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
- H02S10/00—PV power plants; Combinations of PV energy systems with other systems for the generation of electric power
- H02S10/10—PV power plants; Combinations of PV energy systems with other systems for the generation of electric power including a supplementary source of electric power, e.g. hybrid diesel-PV energy systems
- H02S10/12—Hybrid wind-PV energy systems
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
- H02S10/00—PV power plants; Combinations of PV energy systems with other systems for the generation of electric power
- H02S10/20—Systems characterised by their energy storage means
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
- H02S40/00—Components or accessories in combination with PV modules, not provided for in groups H02S10/00 - H02S30/00
- H02S40/30—Electrical components
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
- H02S50/00—Monitoring or testing of PV systems, e.g. load balancing or fault identification
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/22—The renewable source being solar energy
- H02J2300/24—The renewable source being solar energy of photovoltaic origin
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/28—The renewable source being wind energy
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/40—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation wherein a plurality of decentralised, dispersed or local energy generation technologies are operated simultaneously
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- Economics (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Power Engineering (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- General Engineering & Computer Science (AREA)
- Computer Security & Cryptography (AREA)
- Marketing (AREA)
- Computer Hardware Design (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Educational Administration (AREA)
- Development Economics (AREA)
- Operations Research (AREA)
- Life Sciences & Earth Sciences (AREA)
- Game Theory and Decision Science (AREA)
- Quality & Reliability (AREA)
- Software Systems (AREA)
- Health & Medical Sciences (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Biology (AREA)
- General Health & Medical Sciences (AREA)
- Bioinformatics & Computational Biology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Biodiversity & Conservation Biology (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Primary Health Care (AREA)
- Computing Systems (AREA)
- Human Computer Interaction (AREA)
- Emergency Management (AREA)
- Sustainable Development (AREA)
Abstract
The invention discloses a new energy multifunctional integrated intelligent application system, which relates to the technical field of new energy systems and comprises an energy collection module, an energy storage module, an energy management module, an energy distribution module, a safety diagnosis module, a remote control module and an environmental protection control module.
Description
Technical Field
The invention relates to the technical field of new energy systems, in particular to a new energy multifunctional integrated intelligent application system.
Background
The new energy is mainly based on sustainable energy obtained in nature, and is developed and utilized by modern technological means, and compared with the traditional energy, the new energy has the characteristics of high reproducibility, environmental protection and conversion efficiency.
In the prior art, people often build new energy power plants in environments far away from residential areas, so that living environments of surrounding residents are prevented from being influenced in the process of putting the new energy power plants into production.
However, in practical use, although new energy power plants have relatively low pollution emissions compared with traditional power generation modes such as traditional coal-fired power plants, they may still generate a certain degree of environmental pollution during production and operation, including noise pollution and air pollution during power generation by using biomass energy, and the surrounding environment and ecology are also deteriorated without performing supervision and inspection, so that we propose a new energy multifunctional integrated intelligent application system in view of this.
Disclosure of Invention
The invention mainly aims to provide a new energy multifunctional integrated intelligent application system which solves the problems mentioned in the background art.
In order to achieve the above object, the present invention provides a new energy multifunctional integrated intelligent application system, which includes:
the energy collection module is used for controlling the energy production process comprising a solar photovoltaic panel, a wind turbine and hydroelectric generator equipment and comprises a directional tracking module, a power management module and an energy output module;
the energy storage module is used for controlling the energy storage state of the battery, the super capacitor and the water energy storage system and comprises a battery management module, a charge-discharge optimization module and a temperature control module;
the energy management module is used for monitoring, controlling and optimizing the performance of the whole energy storage system and comprises a data calling module and a load prediction module;
the energy distribution module is used for effectively managing and distributing energy so as to ensure the performance and reliability of the system, and comprises an energy scheduling module, a load management module and an emergency power supply module;
the security diagnosis module is used for assisting a system or a network in identifying and coping with potential security threats and loopholes and diagnosing and processing abnormal signals transmitted in the energy equipment sensor, and comprises an intrusion detection module, an identity verification module, an abnormal diagnosis module and an abnormal scheduling module;
the remote control module is used for managing and controlling the system and related network equipment at a remote position and comprises a cloud monitoring module, a permission definition module and a hierarchical control module;
the environment protection control module is used for monitoring, managing and improving the environmental influence of the system so as to ensure the sustainability of the system and meet the environment protection standard, and comprises an emission monitoring module, a noise monitoring module, an ecological assessment module and a data storage module.
Preferably, the orientation tracking module is used for intermittently detecting the solar illumination direction in the environment, tracking the change process of the orientation tracking module and feeding back the orientation tracking module to the solar collector, enabling the solar collector to be rotationally adjusted according to the fed-back optimal angle direction, reducing adverse effects on the solar collector caused by the sun illumination angle and the shielding of the environmental shadows, and the power management module is used for detecting the energy generated by the solar photovoltaic panel, the wind turbine and the hydraulic engine, and can be used for analyzing the abnormality reason of the orientation tracking module when the energy yield is abnormally changed and feeding back the abnormality state of the orientation tracking module to the safety diagnosis module.
Preferably, the energy output module is used for converting electric energy produced by different energy devices into direct current which is convenient for carrying out subsequent processing and storage, electric power generated by different devices can be integrated into electric energy in a standard voltage range through the voltage transformation device for storage, the battery management module is used for monitoring the voltage, current and electric quantity state inside the energy storage device in real time through the sensing device, feeding detected data back to the charge and discharge optimization module in real time, avoiding overcharge and overdischarge phenomena of the energy storage device when the energy storage device is used, and the charge and discharge optimization module is used for detecting the electric energy loss rate of the energy storage device in the process of executing charge and discharge and adjusting the charge and discharge speed and the charge and discharge quantity of the energy storage device in a certain range according to the charge and discharge requirements of a power grid, and meanwhile adopting different charge and discharge algorithms for different types of energy storage devices in the power grid.
Preferably, the temperature control module is used for detecting the temperature and the heating value of the energy storage device when the energy storage device is used, comparing the monitored battery temperature information with a set energy storage device temperature threshold value, and when the battery temperature exceeds the self-defined threshold value, feeding the information back to the charge and discharge optimization module to be used as reference data for adjusting the charge and discharge speed, and controlling the ventilation device to perform air cooling auxiliary heat dissipation on the energy storage device with higher temperature.
Preferably, the data calling module is used for calling the data including the ambient temperature and the wind power fed back by the nearby observation station, and can call the data including the current time date, the historical electricity consumption data and the holiday information, and feeds the called data back to the back-end load prediction module after summarization, and the load prediction module is used for carrying out integrated calculation on the data sent by the data calling module, attempting to define the relevance between the data in a data modeling mode through machine learning, establishing a data characteristic database, and generating a prediction report of the load electricity consumption of each area and a prediction energy consumption-time broken line chart according to a calculation modeling result.
Preferably, the energy scheduling module is used for determining the direction of energy output, including large-scale factory and domestic electricity consumption, because the voltage required by different use demands is different, therefore, the energy scheduling module can supply different types of electric power according to different load characteristics and electric power demands, the load management module is used for carrying out data analysis on the scheduling state of the energy scheduling module, calculating the trend of the load and the possible abnormal situation, and simultaneously adjusting the load according to different load conditions and improving the electricity consumption efficiency of the energy scheduling module, and the emergency power module is used for starting the standby energy storage device and enabling the standby energy storage device to be connected with a power grid when the energy storage device is abnormal and the energy generating device is abnormal, so that the phenomenon of long-time power failure caused by the abnormality of the power supply end device is reduced, and simultaneously the emergency power module can synchronously monitor the electric quantity and the voltage use condition of the standby energy storage device and guarantee the stable operation of the standby energy storage device when the standby energy storage device is used as the main energy supply device.
Preferably, the intrusion detection module is used for monitoring each component and network of the power system to detect access attempts of unauthorized users, devices or systems, and tracing the operation and judging the security of the system for executing the operation or instructions when sudden and severe changes of power load, abnormal voltage fluctuation or unusual switch state change occur at the same time.
Preferably, the abnormality diagnosis module is used for receiving the running state of each group of sensors in the energy equipment, receiving the abnormality information fed back by the sensors when abnormality alarm occurs, listing the three most similar groups of fault types according to the position of the sensor port feeding back the abnormality and the specific abnormal constant value, and the abnormality scheduling module is used for dividing maintenance responsibility according to the abnormality classification fed back by the abnormality diagnosis module, matching related technical maintenance staff aiming at abnormal areas or equipment, and simultaneously sending the abnormality alarm information to a portable terminal of the related maintenance staff to schedule the maintenance staff to reach the scene.
Preferably, the cloud monitoring module is configured to send the operation state of the energy device and related data to the cloud, and support a responsible person having corresponding rights to adjust and review the data, the rights definition module is configured to enable an administrator to set corresponding secondary operation rights for operation of the cloud monitoring module, an operator of the secondary operation rights can set corresponding tertiary operation rights according to specific responsibility management division of the secondary operation rights, and the administrator of the primary operation rights has a change and management rights for any rights, and the hierarchical control module is configured to define a data panel operable at an operator of a low-level rights as a "read only" mode when the administrator of a high-level rights performs a certain group of data adjustment verification, and cannot adjust related parameters of the energy device online during adjustment.
Preferably, the emission monitoring module is used for detecting the pollutant emission states of different energy devices, including classified calculation of data of wastewater, waste gas and chemical pollutant emission amounts, and building a related text table according to specific emission amounts, the noise detection module is used for detecting noise decibels generated by the energy devices during operation through a noise sensor, calculating noise levels according to frequency weighting and time weighting, after the calculation is completed, whether the device can meet the use conditions or not can be obtained according to local noise limitation, the ecological evaluation module mainly obtains images and data about the earth surface through remote sensing equipment, health conditions of surrounding ecological systems including land, water resources, wild animal and plant populations and habitat information can be monitored during use, risks of the ecological systems are estimated, adverse effects on wild animal and plant, water quality and soil quality are included during use, continuous monitoring and reporting are provided, the ecological effects of projects are tracked, corrective measures are timely taken to protect the ecological systems, and the data storage module is used for regularly tracing the ecological records obtained by the detection of the ecological records, and the ecological records can be evaluated by the data storage module.
Compared with the prior art, the invention has the following beneficial effects:
(1) When the novel multifunctional integrated intelligent application system for the energy source is used, pollution conditions possibly generated in the operation and maintenance process of the energy source equipment are detected through the environment-friendly control module, a pollution degree report is generated according to a local standard, meanwhile, the environment around the energy source equipment is detected through the ecological assessment module in the detection process, ecological information about the surface environment is intermittently generated, and the influence degree of the energy source equipment on the environment in the operation or pollution emission process is judged and assessed through vegetation and animal group states in different time in the same area, so that ecological protection and sustainable management decision are supported.
(2) When the novel energy multifunctional integrated intelligent application system is used, the angle of the wind power generation equipment and the angle of the solar power generation equipment are adaptively adjusted through the directional tracking module, so that the solar power generation equipment can always face the direction with sufficient illumination, the wind power generation equipment can be automatically optimized according to the wind speed and the direction, the directional tracking module can also adjust the angle of the blades of the wind power generation equipment according to the change of the external environment to avoid damage of the blades of the wind power generation equipment under high wind speed under severe weather conditions, the impact of external force on storm weather and long-time direct contact with external rainwater on the storm weather are reduced, and the service life and the service efficiency of relevant novel energy power generation equipment are improved.
(3) When the novel energy multifunctional integrated intelligent application system is used, the energy scheduling module can adjust the output of electric energy according to actual energy usage, so that energy can be supplied to different users and devices according to different electricity consumption demands in a targeted mode, meanwhile, the load management module can conduct data analysis on the state of the output electric energy, meanwhile, the load state of the novel energy multifunctional integrated intelligent application system is estimated, and the emergency power module is controlled, so that the state that supply is smaller than demand in the electricity consumption peak period is reduced, and the overall elasticity of the electric power system is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to the structures shown in these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of the new energy multifunctional integrated intelligent application system;
FIG. 2 is a block diagram of an energy harvesting module according to the present invention;
FIG. 3 is a block diagram of an energy storage module according to the present invention;
FIG. 4 is a block diagram of an energy management module according to the present invention;
FIG. 5 is a block diagram of an energy distribution module according to the present invention;
FIG. 6 is a flow chart of a security diagnostic module of the present invention;
FIG. 7 is a flow chart of a remote control module according to the present invention;
FIG. 8 is a block flow diagram of an environmental protection control module of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that all directional indicators (such as up, down, left, right, front, and rear … …) in the embodiments of the present invention are merely used to explain the relative positional relationship, movement, etc. between the components in a particular posture (as shown in the drawings), and if the particular posture is changed, the directional indicator is changed accordingly.
Furthermore, the description of "first," "second," etc. in this disclosure is for descriptive purposes only and is not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In addition, the technical solutions of the embodiments may be combined with each other, but it is necessary to base that the technical solutions can be realized by those skilled in the art, and when the technical solutions are contradictory or cannot be realized, the combination of the technical solutions should be considered to be absent and not within the scope of protection claimed in the present invention.
Referring to fig. 1-8, the present invention provides a technical solution: a new energy multifunctional integrated intelligent application system, the new energy multifunctional integrated intelligent application system comprising:
the energy collection module is used for controlling the energy production process comprising a solar photovoltaic panel, a wind turbine and hydroelectric generator equipment and comprises a directional tracking module, a power management module and an energy output module;
the energy storage module is used for controlling the energy storage state of the battery, the super capacitor and the water energy storage system and comprises a battery management module, a charge-discharge optimization module and a temperature control module;
the energy management module is used for monitoring, controlling and optimizing the performance of the whole energy storage system and comprises a data calling module and a load prediction module;
the energy distribution module is used for effectively managing and distributing energy so as to ensure the performance and reliability of the system, and comprises an energy scheduling module, a load management module and an emergency power supply module;
the security diagnosis module is used for assisting a system or a network in identifying and coping with potential security threats and loopholes and diagnosing and processing abnormal signals transmitted in the energy equipment sensor, and comprises an intrusion detection module, an identity verification module, an abnormal diagnosis module and an abnormal scheduling module;
the remote control module is used for managing and controlling the system and related network equipment at a remote position and comprises a cloud monitoring module, a permission definition module and a hierarchical control module;
the environment protection control module is used for monitoring, managing and improving the environmental influence of the system so as to ensure the sustainability of the system and meet the environment protection standard, and comprises an emission monitoring module, a noise monitoring module, an ecological assessment module and a data storage module.
The orientation tracking module is used for intermittently detecting the sun illumination direction in the environment, tracking the change process of the orientation tracking module and feeding back the sun illumination direction to the solar collector, enabling the solar collector to be rotatably adjusted according to the fed back optimal angle direction, reducing adverse effects on the solar collector caused by sun illumination angle and shielding of environmental shadows, and the power management module is used for detecting energy generated by the solar photovoltaic panel, the wind turbine and the hydraulic engine, and can be used for connecting a sensor installed at an energy device to analyze the abnormality reason of the energy when the energy yield is abnormally changed and feeding back the abnormal state in the energy production process to the safety diagnosis module.
The energy output module is used for converting electric energy produced by different energy devices into direct current which is convenient for carrying out subsequent processing and storage, electric power generated by different devices can be integrated into electric energy in a standard voltage range through the voltage transformation device for storage, the battery management module is used for monitoring the voltage, current and electric quantity state inside the energy storage device in real time through the sensing device, feeding detected data back to the charge and discharge optimization module in real time, avoiding overcharge and overdischarge phenomena of the energy storage device during use, and the charge and discharge optimization module is used for detecting the electric energy loss rate of the energy storage device during the charge and discharge execution process, adjusting the charge and discharge speed and the charge and discharge quantity of the energy storage device in a certain range according to the charge and discharge requirements of a power grid, and adopting different charge and discharge algorithms for different types of the energy storage device in the power grid.
The temperature control module is used for detecting the temperature and the heating value of the energy storage equipment when the energy storage equipment is used, comparing the detected battery temperature information with a set energy storage equipment temperature threshold value, and feeding information back to the charge and discharge optimization module to serve as reference data for adjusting the charge and discharge speed when the battery temperature exceeds the self-defined threshold value, and controlling the ventilation equipment to perform air cooling auxiliary heat dissipation aiming at the fact that the temperature of the energy storage equipment is high.
The data calling module is used for calling the data including the ambient temperature and the wind power fed back by the nearby observation station, can call the data including the current time date, the historical electricity consumption data and the holiday information, and feeds the called data back to the back-end load prediction module after summarization, and the load prediction module is used for carrying out integration calculation on the data sent by the data calling module, attempting to define the relevance between the data in a machine learning and data modeling mode, establishing a data characteristic database, and generating a prediction report of the load electricity consumption of each area and a prediction energy consumption-time broken line chart according to the calculation modeling result.
The energy scheduling module is used for determining the direction of energy output, including large-scale mill and domestic electricity consumption, because the voltage that different user demands need is different, consequently make energy scheduling module can be directed at according to its different load characteristics and power demand supply different grade type electric power, load management module is used for carrying out the data analysis to the scheduling state of energy scheduling module to calculate out the trend of load and the unusual situation that probably appears, can adjust it and promote the power consumption efficiency of energy scheduling module according to different load condition simultaneously, emergency power source module is used for when energy storage equipment appears unusual condition and when the unusual trouble appears in the productivity equipment, starts reserve energy storage equipment and makes it be connected with the electric wire netting, and with this reduction causes the long-time outage phenomenon because of power supply end equipment is unusual, emergency power source module can synchronous monitoring reserve energy storage equipment's electric quantity, voltage service condition simultaneously, and guarantee its steady operation when as main energy supply equipment.
The intrusion detection module is used for monitoring each component and network of the power system to detect access attempts of unauthorized users, equipment or systems, tracing the operation by the intrusion detection module and judging the security of the system for executing the operation or instructions when the power load suddenly changes severely, abnormal voltage fluctuation or unusual switch state changes occur, and the identity verification module is used for carrying out identity detection on visitors accessing the system and comparing the visitor information input by the identity verification module with manager data recorded in a database so as to judge the operation authority level which can be executed in the system.
The abnormality diagnosis module is used for receiving the running state of each group of sensors in the energy equipment, receiving the abnormality information fed back by the sensors when abnormality alarm occurs, listing three most similar groups of fault types according to the position of a sensor port feeding back the abnormality and specific abnormal constant values, and the abnormality scheduling module is used for dividing maintenance responsibility according to the abnormality classification fed back by the abnormality diagnosis module, matching related technical maintenance personnel aiming at abnormal areas or equipment, and simultaneously sending the abnormality alarm information to a portable terminal of the related maintenance personnel to schedule the portable terminal to reach the scene.
The cloud monitoring module is used for sending the running state and related data of the energy equipment to the cloud and supporting a responsible person with corresponding authority to adjust and review the data, the authority definition module is used for enabling an administrator to set corresponding secondary operation authorities for the operation of the cloud monitoring module, operators with the secondary operation authorities can set corresponding tertiary operation authorities according to specific responsibility management division of the operators, the manager with the primary operation authorities has the change and management authority of any authority, and the hierarchical control module is used for defining a data panel which can be operated at an operator with low-level authority as a read-only mode when the manager with high-level authority performs a certain data adjustment check, and cannot adjust related parameters of the energy equipment on line during adjustment of the data panel.
The emission monitoring module is used for detecting pollution emission states of different energy devices, including classified calculation of data of emission amounts of wastewater, waste gas and chemical pollutants, and building a related text table according to specific emission amounts, and the noise detection module is used for detecting noise decibels generated by the energy devices in operation through the noise sensor, and calculating noise levels according to frequency weighting and time weighting, wherein the calculation formula is as follows:
SPL=20*log10(P/P0);
wherein:
SPL is the sound pressure level, representing the intensity of noise
P is the pressure of the detected sound;
p0 is a reference sound pressure, typically taken as the least audible sound pressure, of about 20 microppa (20 μpa);
after calculation, whether the equipment can meet the use condition or not can be obtained according to local noise limitation, the ecological assessment module obtains images and data about the earth surface mainly through remote sensing equipment, the health condition of surrounding ecological systems, including land, water resources, wild animal and plant populations and habitat information, can be monitored during use, and the risk of energy equipment on the ecological systems during use is assessed, including adverse effects on wild animal and plant, water quality and soil quality, wherein the environmental conditions are estimated mainly through a mode of calculating vegetation indexes, and the calculation formula is as follows:
vegetation index = vegetation coverage/total land area x 100%;
meanwhile, the ecological assessment module provides continuous monitoring and reporting aiming at natural environments so as to track ecological influence of projects and timely take corrective measures to protect an ecological system, and the data storage module is used for recording and recording ecological environment data obtained through detection at regular intervals and guaranteeing long traceability of the data obtained through detection of the ecological assessment module.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein 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. A new energy multifunctional integrated intelligent application system is characterized in that: the new energy multifunctional integrated intelligent application system comprises:
the energy collection module is used for controlling the energy production process comprising a solar photovoltaic panel, a wind turbine and hydroelectric generator equipment and comprises a directional tracking module, a power management module and an energy output module;
the energy storage module is used for controlling the energy storage state of the battery, the super capacitor and the water energy storage system and comprises a battery management module, a charge-discharge optimization module and a temperature control module;
the energy management module is used for monitoring, controlling and optimizing the performance of the whole energy storage system and comprises a data calling module and a load prediction module;
the energy distribution module is used for effectively managing and distributing energy so as to ensure the performance and reliability of the system, and comprises an energy scheduling module, a load management module and an emergency power supply module;
the security diagnosis module is used for assisting a system or a network in identifying and coping with potential security threats and loopholes and diagnosing and processing abnormal signals transmitted in the energy equipment sensor, and comprises an intrusion detection module, an identity verification module, an abnormal diagnosis module and an abnormal scheduling module;
the remote control module is used for managing and controlling the system and related network equipment at a remote position and comprises a cloud monitoring module, a permission definition module and a hierarchical control module;
the environment protection control module is used for monitoring, managing and improving the environmental influence of the system so as to ensure the sustainability of the system and meet the environment protection standard, and comprises an emission monitoring module, a noise monitoring module, an ecological assessment module and a data storage module.
2. The new energy multifunctional integrated intelligent application system according to claim 1, wherein: the orientation tracking module is used for intermittently detecting the sun illumination direction in the environment, tracking the change process of the orientation tracking module and feeding back the sun illumination direction to the solar collector, enabling the solar collector to be rotatably adjusted according to the fed back optimal angle direction, reducing adverse effects on the solar collector caused by sun illumination angle and shielding of environmental shadows, and the power management module is used for detecting energy generated by the solar photovoltaic panel, the wind turbine and the hydraulic engine, and can be used for connecting a sensor installed at an energy device to analyze the abnormality reason of the energy when the energy yield is abnormally changed and feeding back the abnormal state in the energy production process to the safety diagnosis module.
3. The new energy multifunctional integrated intelligent application system according to claim 1, wherein: the energy output module is used for converting electric energy produced by different energy devices into direct current which is convenient for carrying out subsequent processing and storage, electric power generated by different devices can be integrated into electric energy in a standard voltage range through the voltage transformation device for storage, the battery management module is used for monitoring the voltage, current and electric quantity state inside the energy storage device in real time through the sensing device, feeding detected data back to the charge and discharge optimization module in real time, avoiding overcharge and overdischarge phenomena of the energy storage device during use, and the charge and discharge optimization module is used for detecting the electric energy loss rate of the energy storage device during the charge and discharge execution process, adjusting the charge and discharge speed and the charge and discharge quantity of the energy storage device in a certain range according to the charge and discharge requirements of a power grid, and adopting different charge and discharge algorithms for different types of the energy storage device in the power grid.
4. The new energy multifunctional integrated intelligent application system according to claim 1, wherein: the temperature control module is used for detecting the temperature and the heating value of the energy storage equipment when the energy storage equipment is used, comparing the detected battery temperature information with a set energy storage equipment temperature threshold value, and feeding information back to the charge and discharge optimization module to serve as reference data for adjusting the charge and discharge speed when the battery temperature exceeds the self-defined threshold value, and controlling the ventilation equipment to perform air cooling auxiliary heat dissipation aiming at the fact that the temperature of the energy storage equipment is high.
5. The new energy multifunctional integrated intelligent application system according to claim 1, wherein: the data calling module is used for calling the data including the ambient temperature and the wind power fed back by the nearby observation station, can call the data including the current time date, the historical electricity consumption data and the holiday information, and feeds the called data back to the back-end load prediction module after summarization, and the load prediction module is used for carrying out integration calculation on the data sent by the data calling module, attempting to define the relevance between the data in a machine learning and data modeling mode, establishing a data characteristic database, and generating a prediction report of the load electricity consumption of each area and a prediction energy consumption-time broken line chart according to the calculation modeling result.
6. The new energy multifunctional integrated intelligent application system according to claim 1, wherein: the energy scheduling module is used for determining the direction of energy output, including large-scale mill and domestic electricity consumption, because the voltage that different user demands need is different, consequently make energy scheduling module can be directed at according to its different load characteristics and power demand supply different grade type electric power, load management module is used for carrying out the data analysis to the scheduling state of energy scheduling module to calculate out the trend of load and the unusual situation that probably appears, can adjust it and promote the power consumption efficiency of energy scheduling module according to different load condition simultaneously, emergency power source module is used for when energy storage equipment appears unusual condition and when the unusual trouble appears in the productivity equipment, starts reserve energy storage equipment and makes it be connected with the electric wire netting, and with this reduction causes the long-time outage phenomenon because of power supply end equipment is unusual, emergency power source module can synchronous monitoring reserve energy storage equipment's electric quantity, voltage service condition simultaneously, and guarantee its steady operation when as main energy supply equipment.
7. The new energy multifunctional integrated intelligent application system according to claim 1, wherein: the intrusion detection module is used for monitoring each component and network of the power system to detect access attempts of unauthorized users, equipment or systems, tracing the operation by the intrusion detection module and judging the security of the system for executing the operation or instructions when the power load suddenly changes severely, abnormal voltage fluctuation or unusual switch state changes occur, and the identity verification module is used for carrying out identity detection on visitors accessing the system and comparing the visitor information input by the identity verification module with manager data recorded in a database so as to judge the operation authority level which can be executed in the system.
8. The new energy multifunctional integrated intelligent application system according to claim 1, wherein: the abnormality diagnosis module is used for receiving the running state of each group of sensors in the energy equipment, receiving the abnormality information fed back by the sensors when abnormality alarm occurs, listing three most similar groups of fault types according to the position of a sensor port feeding back the abnormality and specific abnormal constant values, and the abnormality scheduling module is used for dividing maintenance responsibility according to the abnormality classification fed back by the abnormality diagnosis module, matching related technical maintenance personnel aiming at abnormal areas or equipment, and simultaneously sending the abnormality alarm information to a portable terminal of the related maintenance personnel to schedule the portable terminal to reach the scene.
9. The new energy multifunctional integrated intelligent application system according to claim 1, wherein: the cloud monitoring module is used for sending the running state and related data of the energy equipment to the cloud and supporting a responsible person with corresponding authority to adjust and review the data, the authority definition module is used for enabling an administrator to set corresponding secondary operation authorities for the operation of the cloud monitoring module, operators with the secondary operation authorities can set corresponding tertiary operation authorities according to specific responsibility management division of the operators, the manager with the primary operation authorities has the change and management authority of any authority, and the hierarchical control module is used for defining a data panel which can be operated at an operator with low-level authority as a read-only mode when the manager with high-level authority performs a certain data adjustment check, and cannot adjust related parameters of the energy equipment on line during adjustment of the data panel.
10. The new energy multifunctional integrated intelligent application system according to claim 1, wherein: the emission monitoring module is used for detecting pollution emission states of different energy devices, including classified calculation of data of emission amounts of wastewater, waste gas and chemical pollutants, building a related text table according to specific emission amounts, detecting noise decibels generated by the energy devices during operation through the noise sensor, calculating noise levels according to frequency weighting and time weighting, obtaining whether the devices can meet using conditions according to local noise limitation after the calculation is completed, acquiring images and data related to earth surfaces through remote sensing devices, monitoring health conditions of surrounding ecological systems, including land, water resources, wild animal and plant populations and habitat information, evaluating risks of the ecological systems, including adverse effects on wild animal and plant, water quality and soil quality, providing continuous monitoring and reporting, tracking ecological effects of projects, timely correcting measures to protect the ecological systems, and the data storage module is used for recording environment protection data obtained through detection and periodically tracing the ecological protection data obtained through detection, and has long-term traceability and can obtain ecological system data.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202311445328.XA CN117474250A (en) | 2023-10-31 | 2023-10-31 | New energy multifunctional integrated intelligent application system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202311445328.XA CN117474250A (en) | 2023-10-31 | 2023-10-31 | New energy multifunctional integrated intelligent application system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN117474250A true CN117474250A (en) | 2024-01-30 |
Family
ID=89630702
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202311445328.XA Pending CN117474250A (en) | 2023-10-31 | 2023-10-31 | New energy multifunctional integrated intelligent application system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN117474250A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117878931A (en) * | 2024-03-12 | 2024-04-12 | 徐州景安重工机械制造有限公司 | Emergency energy scheduling system and method for new energy power station |
-
2023
- 2023-10-31 CN CN202311445328.XA patent/CN117474250A/en active Pending
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117878931A (en) * | 2024-03-12 | 2024-04-12 | 徐州景安重工机械制造有限公司 | Emergency energy scheduling system and method for new energy power station |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Tuerxun et al. | Fault diagnosis of wind turbines based on a support vector machine optimized by the sparrow search algorithm | |
CN102902245B (en) | Intelligent monitoring system of photovoltaic power station | |
KR102084784B1 (en) | Method for managing the operation of Photovoltaic Power Generation based on machine learning | |
CN103997298A (en) | Monitoring data collecting terminal of photovoltaic power station and monitoring data system | |
CN117057670A (en) | Property intelligent energy management system based on Internet of things | |
CN110535238A (en) | A kind of transformer equipment intelligent monitor system and method | |
CN117474250A (en) | New energy multifunctional integrated intelligent application system | |
KR102084783B1 (en) | System for managing the operation of Photovoltaic Power Generation based on machine learning | |
CN112736959B (en) | System and method for monitoring distributed photovoltaic power station | |
CN111932137A (en) | Wisdom garden energy management system based on thing networking | |
CN108375962A (en) | Offshore boosting station patrols control system | |
CN104821789A (en) | Method for detecting reliability of photovoltaic power generation system | |
CN108173517A (en) | A kind of photovoltaic generation monitoring management system | |
CN111596643A (en) | Visual dynamic energy consumption diagnosis, analysis and pre-control system based on big data | |
CN104932395B (en) | Solar photovoltaic assembly monitors the intelligent maintenance device and maintaining method of system | |
CN116111951A (en) | Data monitoring system based on photovoltaic power generation | |
CN108696249B (en) | Rapid diagnosis method for faults of photovoltaic module | |
CN114035491B (en) | Green intelligent pumping unit system | |
CN207182049U (en) | A kind of heat exchange station intelligent measurement and control system | |
CN107329447A (en) | A kind of heat exchange station intelligent measurement and control system | |
KR102228512B1 (en) | Photovoltaic Power Generation Apparatus with Remote Control Function and Function to Monitor the Failure of Solar Power Plant and Fire at Connection Board using Machine Learning | |
CN113531641B (en) | Sauna room carbon crystal heating plate management and control system based on big data platform | |
Wu et al. | Multiple criteria performance assessment for decentralized energy systems: a case study | |
KR20110045462A (en) | Remote Monitoring System Thereof Using Mobile Of Solar Photovoltatic Power Generation Plant | |
Shah et al. | Smart Grid Protection Scheme Using Internet of Things (IoT) |
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 |