CN108510100A - A kind of energy optimization management implementation method of the intelligent building based on correlation rule - Google Patents
A kind of energy optimization management implementation method of the intelligent building based on correlation rule Download PDFInfo
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Abstract
A kind of energy optimization of intelligent building based on correlation rule provided by the invention manages implementation method, has the feature that, includes the following steps：Step A obtains the energy consumption parameter information of each equipment in building；Step B calculates dosage average value, research on maximum utilized quantity and minimum amount in each equipment unit time according to building energy consumption parameter information；Step C is had found that large data concentrates useful correlating method, is extracted the characteristic of management affairs type data processing with the performance indicator based on association rules according to statistics；Step D assesses abnormal energy device using association rules and exports Optimized Measures assessment report, is optimized to each equipment in building using association rule algorithm according to testing result.
Description
Technical field
The present invention relates to field of power, more particularly to the energy optimization pipe of a kind of intelligent building based on correlation rule
Manage implementation method.
Background technology
With the development of economy with the raising of living standards of the people, Residence Functions further increase, and result in house
Energy consumption expands rapidly.Therefore building energy conservation (especially Architectural Equipment energy saving in running) work is also very necessary and important.Using pass
Join energy-conserving control technology of the Intelligent Control Theories researchs such as rule to architecture heating system, air-conditioning system, improves building user
Residence comfort and reduce Architectural Equipment energy consumption, and build and residential housing engineering in application practice, can obtain good
Techno-economic effect.
Equipment is assessed by the way of mathematical modeling in the prior art, is introduced primarily into utilize temperature, electricity consumption
It measures and compensation energy is main data modeling direction, lack respective feedback and Optimization Mechanism.This mathematical model is according to building
Equipment electricity consumption mechanical periodicity at any time, electricity consumption are in normal distribution around the Architectural Equipment electricity consumption that is averaged, using accordingly arranging
The weight factor applied provides Optimized Measures for base station, reaches automatic measurement, abnormal conditions base station inventory automatically provides and automatically
Optimized Measures are provided, and model optimization is carried out using the feedback mechanism of itself.
In order to overcome the shortcomings of the prior art：1) real-time is poor, and there are longer time delays, note abnormalities the time
In evening, there are electricity consumption wastes；2) feedback is poor, abnormal to the reading of table, can not be fed back and be judged, provides corresponding optimization and arranges
It applies；3) dynamic continuity is poor, can not be to effectively dynamically monitoring and the Optimized Measures suggestion of energy consumption continuous parameters.
Invention content
The present invention is to carry out to solve the above-mentioned problems, and it is an object of the present invention to provide a kind of repairing timely, dynamic continuity
Good, the energy optimization of the good intelligent building based on correlation rule of real-time manages implementation method.
A kind of energy optimization of intelligent building based on correlation rule provided by the invention manages implementation method, has in this way
Feature, include the following steps：
Step A obtains the energy consumption parameter information of each equipment in building；
Step B calculates dosage average value, research on maximum utilized quantity in each equipment unit time according to building energy consumption parameter information
And minimum amount；
Step C has found that large data concentrates useful affiliated party with the performance indicator based on association rules according to statistics
Method extracts the characteristic of management affairs type data processing；
Step D assesses abnormal energy device using association rules and exports Optimized Measures assessment report, according to detection knot
Fruit optimizes each equipment in building using association rule algorithm.
A kind of energy optimization of intelligent building based on correlation rule provided by the invention manages implementation method, has in this way
Feature：Wherein, the energy consumption parameter information of each equipment includes device type in building, each plant capacity consumption figures.
A kind of energy optimization of intelligent building based on correlation rule provided by the invention manages implementation method, has in this way
Feature：Wherein, energy consumption parameter information includes：Building energy consumption monitoring parameters；Building Energy Analysis system；And building energy consumption is commented
Estimate system.
A kind of energy optimization of intelligent building based on correlation rule provided by the invention manages implementation method, has in this way
Feature：Wherein, building energy consumption monitoring parameters, including：Data acquisition subsystem；And monitoring center, data acquisition subsystem,
Including：Electric quantity acquisition module is illuminated, the electricity consumption information for acquiring monitoring point illumination；Socket electric quantity acquisition module, for adopting
The electricity consumption information of collection monitoring point socket；Water consumption acquisition module, for acquiring monitoring point water consumption information；Gas quantity acquires mould
Block, for acquiring monitoring point gas quantity information；Central heating heat consumption acquisition module, for acquiring monitoring point central heating heat dissipation
Amount；Central cooling consumption cold acquisition module, for acquiring monitoring point central cooling consumption cold；Air conditioning electricity consumption acquisition module is used
In acquisition monitoring point air conditioning electricity consumption, monitoring center, including：Time records setup module, for recording data acquisition subsystem
The time and date of the data of acquisition and the acquisition time section that data acquisition subsystem gathered data is set；Information content counts mould
Block carries out cumulative summation for the data to the acquisition in acquisition time section；Construction unit area electricity consumption computing module, is used for
Calculate construction unit area electricity consumption；Unit area electric consumption on lighting amount computing module is used for unit of account area electric consumption on lighting amount；
Unit area jack device electricity consumption computing module is used for unit of account area jack device electricity consumption；Unit area idle call
Electricity computing module is used for unit of account area air conditioning electricity consumption.
A kind of energy optimization of intelligent building based on correlation rule provided by the invention manages implementation method, has in this way
Feature：Wherein, Building Energy Analysis system, including：Total energy consumption comparative analysis module, for information content statistical module to acquisition
After gathered data carries out cumulative summation in period, the summed data of data Yu the building other acquisition time sections after summation
It is compared analysis analysis；Unit area comparative analysis module, the construction unit area electricity consumption for being directed to same building object respectively
Amount, unit area electric consumption on lighting amount, unit area jack device electricity consumption, unit area air conditioning electricity consumption are in the different acquisition time
It is compared analysis in the case of section, or is directed to same acquisition time section, construction unit area electricity consumption, the list of different buildings
Plane product electric consumption on lighting amount, unit area jack device electricity consumption, unit area air conditioning electricity consumption are compared analysis.
A kind of energy optimization of intelligent building based on correlation rule provided by the invention manages implementation method, has in this way
Feature：Wherein, building energy consumption monitoring parameters, including：Data acquisition subsystem；And monitoring center, data acquisition subsystem,
Including：Refrigeration unit data acquisition module, for acquiring total active energy data information, three-phase voltage when refrigeration unit is run
Data information, three-phase current data information, active power data information, reactive power data information, power factor data information,
Frequency data information；Cooling water pump data acquisition module, for acquire cooling water pump operation when total active energy data information,
Three-phase voltage data information, three-phase current data information, active power data information, reactive power data information, power factor
Data information, frequency data information；And blower fan of cooling tower data acquisition module, it is total when blower fan of cooling tower is run for acquiring
Active energy data information, three-phase voltage data information, three-phase current data information, active power data information, reactive power
Data information, power factor data information, frequency data information, monitoring center receive refrigeration unit number by communication network respectively
According to acquisition module, the data information of cooling water pump data acquisition module, blower fan of cooling tower data collecting module collected, and to acquisition
Every data information stored, count, handle, display.
A kind of energy optimization of intelligent building based on correlation rule provided by the invention manages implementation method, has in this way
Feature：Wherein, building energy consumption assessment system, including：Central air-conditioning extension set；Valve sensing device；Wind speed sensing device；And
Control panel, each central air-conditioning extension set are equipped with fan coil, and each fan coil is equipped with pipeline valve, valve induction dress
It sets and is separately positioned on each fan coil with wind speed sensing device, and connect with pipeline valve, valve sensing device induction tube
The open and close of road valve, wind speed sensing device are used to incude the wind speed information of fan coil, building energy consumption monitoring parameters, packet
Contain：Monitoring center, monitoring center, including：Data acquisition module is separately connected with valve sensing device and wind speed sensing device,
The wind speed letter of open and close state and acquisition fan coil for obtaining the corresponding pipeline valve of valve sensing device induction
Breath；Time measurement module, the duration of the open and close for measuring each pipeline valve；And charging module, it is used for basis
The open and close state of valve sensing device induction pipe valve, and binding time metering module measures each pipeline valve
Opening time and wind speed information, calculate the electricity charge of each electricity consumer, and control panel has wind-speed adjusting device, wind speed to adjust dress
It sets, the output wind speed for adjusting central air-conditioning extension set；Wind-speed adjusting device is equipped with low-grade wind speed, middle-grade wind speed, high-grade wind speed,
Time measurement module, is provided with：Submodule when low-grade airspeedometer is used for operation of the metering central air-conditioning extension set in low-grade wind speed
Duration, submodule when middle-grade airspeedometer are used for operation duration of the metering central air-conditioning extension set in middle-grade wind speed, high-grade airspeedometer
When submodule, be used for operation duration of the metering central air-conditioning extension set in high-grade wind speed.
A kind of energy optimization of intelligent building based on correlation rule provided by the invention manages implementation method, has in this way
Feature：Wherein, control panel, including：Room temperature sensor, for incuding the temperature in room；And room address mould
Block, for setting room address coding, Building Energy Analysis system, including：Data obtaining module；And K line generation units, K
Line generation unit, including：Sampling time section setting module；K line decomposing modules；K line statistical modules；And the display of K line charts generates
Module, data obtaining module are communicated to connect with room address module and room temperature sensor respectively, and data obtaining module is used for
The temperature information in room address coding and each room is obtained, and the room address coding and temperature information of acquisition are passed
K line generation units are defeated by, K line slot setup modules are used in the sampling time section that sampling time section setting module is set, if
The display duration of order line, sampling time section setting module are used for the sampling time section of setting information acquisition module；K lines point
Module is solved, for showing duration according to the sampling time section and K lines of setting, it includes K to decomposite in the sampling time section of setting
The number of line；K line statistical modules are used in the duration that K lines are shown, the peak and minimum of statistic sampling temperature；And K
Line chart shows generation module, is used for according to the temperature information in the room address coding of reception and each room, using two dimension
Coordinate system generates the distribution situation of all temperature lines in each room in setting sampling time section.
Invention effect and effect
According to a kind of energy optimization management implementation method of the intelligent building based on correlation rule involved in the present invention, provide
Building energy consumption monitors, and device energy conservation operational management integrative solution builds machine suitable for newly-built, renovating and enlarging project
Electric equipment efficiency tracing control administration of energy conservation；To build electromechanical equipment energy-conserving control technology as means, realize to central air-conditioning, wind
The energy saving in running control of the dynamic analysis and equipment of the system equipments operational efficiency such as machine, water pump, heating, illumination, provides to the user
Advanced efficient comprehensive energy manages solution party；Energy command and control are established for user and organize system, by customizing intelligence
Energyization, personalized high efficient energy sources rwan management solution RWAN are that user brings lasting energy conservation.
Description of the drawings
Fig. 1 is a kind of energy optimization management realization side of the intelligent building based on correlation rule of the present invention in embodiment
The flow chart of method；And
Fig. 2 is the structure diagram of the energy consumption parameter information of the present invention in embodiment.
Specific implementation mode
Reality and apply energy optimization of the example to the intelligent building according to the present invention based on correlation rule referring to the drawings
Management implementation method is explained in detail.
Embodiment
Fig. 1 is the flow chart of this energy optimization management implementation method for sending out the intelligent building based on correlation rule a kind of.
As shown in Figure 1, a kind of energy optimization of intelligent building based on correlation rule manages implementation method, there is following step
Suddenly：
Step A：The energy consumption parameter information for obtaining each equipment in building, enters step B.
Step B：Dosage average value, research on maximum utilized quantity in each equipment unit time are calculated according to building energy consumption parameter information
And minimum amount, enter step C.
Step C：With the performance indicator based on association rules according to statistics, it is found that large data concentrates useful affiliated party
Method extracts the characteristic of management affairs type data processing, enters step D.
Step D：Abnormal energy device is assessed using association rules and exports Optimized Measures assessment report, according to detection knot
Fruit optimizes each equipment in building using association rule algorithm.
Building is multilayer or skyscraper, and every layer is equipped with multiple rooms.
Energy consumption parameter information includes device type, each plant capacity consumption figures.
Dosage average value, research on maximum utilized quantity and minimum amount in each equipment unit time are calculated according to energy consumption parameter information
Using dosage average value and practical electricity consumption as point.With the performance indicator based on association rules according to statistics, large-scale number is found
According to useful correlating method is concentrated, the characteristic of management affairs type data processing is extracted.It is assessed using association rule algorithm abnormal
Energy device simultaneously exports Optimized Measures assessment report, according to testing result using determine association rule algorithm to build in each equipment into
Row optimization, data acquisition are comprehensive.
Fig. 2 is the structure diagram of the energy consumption parameter information of the present invention in embodiment.
As shown in Fig. 2, energy consumption parameter information includes：Building energy consumption monitoring parameters 1, Building Energy Analysis system 2 and building
Energy consumption assessment system 3.
Building energy consumption monitoring parameters 1 include：Data acquisition subsystem 1-1 and monitoring center 1-2.
Data acquisition subsystem 1-1 includes：Illuminate electric quantity acquisition module 1-1-1, socket electric quantity acquisition module 1-1-2, water
Consumption acquisition module 1-1-3, gas quantity acquisition module 1-1-4, central heating heat consumption acquisition module 1-1-5, central cooling consumption
Cold acquisition module 1-1-6, air conditioning electricity consumption acquisition module 1-1-7, refrigeration unit data acquisition module 1-1-8, cooling water pump
Data acquisition module 1-1-9 and blower fan of cooling tower data acquisition module 1-1-10.
Illumination electric quantity acquisition module 1-1-1 is used to acquire the electricity consumption information of monitoring point illumination.
Socket electric quantity acquisition module 1-1-2 is used to acquire the electricity consumption information of monitoring point socket.
Water consumption acquisition module 1-1-3 is for acquiring monitoring point water consumption information.
Gas quantity acquisition module 1-1-4 is for acquiring monitoring point gas quantity information.
Central heating heat consumption acquisition module 1-1-5 is for acquiring monitoring point central heating heat consumption.
Central cooling consumption cold acquisition module 1-1-6 is for acquiring monitoring point central cooling consumption cold.
Air conditioning electricity consumption acquisition module 1-1-7 is for acquiring monitoring point air conditioning electricity consumption.
Refrigeration unit data acquisition module 1-1-8 be used for acquire refrigeration unit operation when total active energy data information,
Three-phase voltage data information, three-phase current data information, active power data information, reactive power data information, power factor
Data information, frequency data information.
Cooling water pump data acquisition module 1-1-9 be used for acquire cooling water pump operation when total active energy data information,
Three-phase voltage data information, three-phase current data information, active power data information, reactive power data information, power factor
Data information, frequency data information.
Blower fan of cooling tower data acquisition module 1-1-10 is used to acquire total active energy data when blower fan of cooling tower operation
Information, three-phase voltage data information, three-phase current data information, active power data information, reactive power data information, power
Factor data information, frequency data information.
Monitoring center 1-2 includes：Time records setup module 1-2-1, information content statistical module 1-2-2, construction unit face
Product electricity consumption computing module 1-2-3, unit area electric consumption on lighting amount computing module 1-2-3, unit area jack device electricity consumption
Computing module 1-2-4 and unit area air conditioning electricity consumption computing module 1-2-6.
Time record setup module 1-2-1 be used to record the data of data acquisition subsystem acquisition time and date and
The acquisition time section of data acquisition subsystem gathered data is set.
Information content statistical module 1-2-2 is used to carry out cumulative summation to the data of the acquisition in acquisition time section.
Construction unit area electricity consumption computing module 1-2-3 is for calculating construction unit area electricity consumption, and when by acquiring
Between total electricity consumption in section divided by gross floors area be calculated.
Unit area electric consumption on lighting amount computing module 1-2-3 is used for unit of account area electric consumption on lighting amount, and when by acquiring
Between illumination total electricity consumption in section divided by building general ambient light areal calculation obtain.
Unit area jack device electricity consumption computing module 1-2-4 is used for unit of account area jack device electricity consumption, and
By in acquisition time section jack device total electricity consumption divided by jack device area of reference be calculated.
Unit area air conditioning electricity consumption computing module 1-2-6 is used for unit of account area air conditioning electricity consumption, and when by acquiring
Between air-conditioning total electricity consumption in section divided by total air conditioning area be calculated.
Monitoring center 2 receives refrigeration unit data acquisition module 1-1-8 by communication network respectively, cooling water pump data are adopted
Collect module 1-1-9, the data information that blower fan of cooling tower data acquisition module 1-1-10 is acquired, and to every data information of acquisition
It is stored, is counted, handled, display.
According to practical electricity consumption size, refrigeration phase air-conditioning system unit area (moon) power consumption is divided into：Power consumption is low,
Middle and high is in a grade, and using association rule algorithm, power consumption decision tree, prediction building are generated according to the essential information of building
Air-conditioning system power consumption grade, meanwhile, it works building energy-saving renovation and related Proposal for update is provided.
Building Energy Analysis system 2 includes：Total energy consumption comparative analysis module 2-1 and unit area comparative analysis module 2-2.
Total energy consumption comparative analysis module 2-1 for information content statistical module 1-2-2 to gathered data in acquisition time section into
After the cumulative summation of row, total energy consumption comparative analysis module 2-1 is asked data and other acquisition time sections of the building after summation
Be compared analysis with data, or total energy consumption comparative analysis module 2-1 by after summation data in same acquisition time section its
The gathered data of his building is cumulative and is compared analysis.
Construction unit area electricity consumption, lists of the unit area comparative analysis module 2-2 for being directed to same building object respectively
Plane accumulates electric consumption on lighting amount, unit area jack device electricity consumption, unit area air conditioning electricity consumption in the different acquisition period
In the case of be compared analysis, or be directed to same acquisition time section, construction unit area electricity consumption, the unit plane of different buildings
Product electric consumption on lighting amount, unit area jack device electricity consumption, unit area air conditioning electricity consumption are compared analysis.
Building energy consumption assessment system 3 includes：Entreat air-conditioning extension set 3-1, valve sensing device 3-2, wind speed sensing device 3-3 and
Control panel 3-4.
Each central air-conditioning extension set 3-1 is equipped with fan coil 3-1-1, each fan coil 3-1-1 and is equipped with pipeline valve
Door 3-1-2, valve sensing device 3-1-3 and wind speed sensing device 3-1-4 are separately positioned on each fan coil 3-1-1, and
It is connect with pipeline valve 3-1-2, the open and close of valve sensing device 3-1-3 induction pipe valves 3-1-2, wind speed induction dress
Set wind speed informations of the 3-1-4 for incuding fan coil 3-1-1.
Monitoring center 1-2 further includes：Data acquisition module 1-2-7, time measurement module 1-2-8 and charging module 1-2-9.
Data acquisition module 1-2-7 and valve sensing device 3-1-3 and wind speed sensing device 3-1-4 are separately connected, and are used for
It obtains the open and close state of the corresponding pipeline valve 3-1-2 of valve sensing device 3-1-3 inductions and obtains fan coil 3-
The wind speed information of 1-1.
Time measurement module 1-2-8 is used to measure the duration of the open and close of each pipeline valve 3-1-2.
Charging module 1-2-9 is used for the open and close shape according to valve sensing device 3-1-3 induction pipe valves 3-1-2
State, and binding time metering module 1-2-8 measures the opening time and wind speed information of each pipeline valve 3-1-2, calculates every
The electricity charge of a electricity consumer.
Control panel 3-4 has wind-speed adjusting device 3-4-1.
Wind-speed adjusting device 3-4-1 is used to adjust the output wind speed of central air-conditioning extension set 3-1.
Wind-speed adjusting device 3-4-1 is equipped with low-grade wind speed, middle-grade wind speed, high-grade wind speed.
Time measurement module 1-2-8 is provided with：Submodule when submodule 1-2-8-1, middle-grade airspeedometer when low-grade airspeedometer
Submodule 1-2-8-3 when 1-2-8-2 and high-grade airspeedometer.
Submodule 1-2-8-1 when low-grade airspeedometer, for operations of the metering central air-conditioning extension set 3-1 in low-grade wind speed when
It is long.
When submodule 1-2-8-2 is used for operations of the metering central air-conditioning extension set 3-1 in middle-grade wind speed when middle-grade airspeedometer
It is long.
When submodule 1-2-8-3 is used for operations of the metering central air-conditioning extension set 3-1 in high-grade wind speed when high-grade airspeedometer
It is long.
Control panel 3-4 also has：Room temperature sensor 3-4-2 and room address module 3-4-3.
Room temperature sensor 3-4-2 is used to incude the temperature in room.
Room address module 3-4-3 is for setting room address coding.
Building Energy Analysis system 2 also includes：Data obtaining module 2-3 and K line generation unit 2-4.
K line generation units 2-4 includes：Sampling time section setting module 2-4-1, K line decomposing module 2-4-2, K line counts mould
Block 2-4-3 and K line chart shows generation module 2-4-4.
Data obtaining module 2-3 is communicated to connect with room address module 3-4-3 and room temperature sensor 3-4-2 respectively.
Data obtaining module 2-3 is used to obtain the temperature information in room address coding and each room, and will obtain
Room address coding and temperature information be transferred to K line generation units 2-4.
K line slot setup modules 2-4 is used in the sampling time section of sampling time section setting module 2-4-1 settings, if
The display duration of order line.
Sampling time section setting module 2-4-1 is used for the sampling time section of setting information acquisition module 2-3.
K line decomposing modules 2-4-2 is used to show duration according to the sampling time section and K lines of setting, decomposite in setting
Include the number of K lines in sampling time section.
K line statistical modules 2-4-3 is used in the duration that K lines are shown, the peak and minimum of statistic sampling temperature.
K line charts show that generation module 2-4-4 is used for according to the temperature in the room address coding of reception and each room
Information generates the distribution situation of all temperature lines in each room in setting sampling time section using two-dimensional coordinate system.
Understand building energy consumption service condition, finds the factor for influencing energy consumption.Platform data is supervised according to building energy conservation
Energy consumption data in the server of library excavates the use feature of building energy consumption by the data mining means of correlation rule.It is based on
Continuous action relation between each energy subitem electricity consumption of building interior, can understand the energy consumption inside whole building in depth, this is to referring to
It is meaningful to lead building electricity consumption.
Statistical calculation is carried out according to the electricity consumption composition of building, power consumption characteristics, electricity consumption dosage, is analyzed between each electrical equipment
Relationship.
When for statistical analysis to electricity consumption, each device systems power consumption ratio of building, analysis electricity consumption, comprehensive biography are obtained
Calorific value and air-conditioning subsist number between relationship.
On the one hand, propose that a kind of improved building energy consumption abnormality monitoring method includes the following steps：Intelligent building center
Resource energy consumption model builds the utilization rate of specific type resource and being associated with for the intelligence building system energy consumption；It measures in whole building
Resource utilization when portion is run carries out online energy consumption statistic point by the hardware performance counter that relevant sensor provides
Analysis；Whole building energy consumption is assessed, resource utilization is inputted, by the calculating of resource energy consumption model, infers equipment indirectly
Operating condition；Build the resource managing power consumption of managing power consumption mechanism and the realization of managing power consumption algorithm to intelligent building.
On the other hand, providing a kind of building energy consumption abnormality monitoring method includes：Obtain monitor build by when power consumption
Data, to monitor building by when the power consumption data energy for statistical analysis, and being designed this system using association algorithm
For management system by specifically carrying out detailed energy consumption analysis to building, classification subitem carries out intelligent energy consumption calculation, is passed using long-range
The means such as defeated acquire energy consumption data in time, realize the on-line monitoring and dynamic analysis of building energy consumption, are ensureing power supply reliability simultaneously
And under the premise of not reducing the comfortable experience of personnel used in connection with, by energy consumption analysis and management, final realize reduces energy consumption.
The effect of embodiment
Implementation method is managed according to a kind of energy optimization of intelligent building based on correlation rule involved by the present embodiment, is carried
It is monitored for building energy consumption, device energy conservation operational management integrative solution is built suitable for newly-built, renovating and enlarging project
Electromechanical equipment efficiency tracing control administration of energy conservation；To build electromechanical equipment energy-conserving control technology as means, realize to central air-conditioning,
The energy saving in running control of the dynamic analysis and equipment of the system equipments operational efficiency such as wind turbine, water pump, heating, illumination, carries for user
Solution party is managed for advanced efficient comprehensive energy；Energy command and control are established for user and organize system, pass through customization
Intelligent, personalized high efficient energy sources rwan management solution RWAN is that user brings lasting energy conservation.
The above embodiment is the preferred case of the present invention, is not intended to limit protection scope of the present invention.
Claims (8)
1. a kind of energy optimization of intelligent building based on correlation rule manages implementation method, which is characterized in that including following step
Suddenly：
Step A obtains the energy consumption parameter information of each equipment in building；
Step B calculates dosage average value, research on maximum utilized quantity in each equipment unit time according to the building energy consumption parameter information
And minimum amount；
Step C has found that large data concentrates useful correlating method with the performance indicator based on association rules according to statistics,
Extract the characteristic of management affairs type data processing；
Step D assesses abnormal energy device using the association rules and exports Optimized Measures assessment report, according to detection knot
Fruit optimizes each equipment in building using the association rule algorithm.
2. a kind of energy optimization of intelligent building based on correlation rule according to claim 1 manages implementation method,
It is characterized in that：
Wherein, the energy consumption parameter information of each equipment includes device type in the building, each plant capacity consumption figures.
3. a kind of energy optimization of intelligent building based on correlation rule according to claim 1 manages implementation method,
It is characterized in that：
Wherein, the energy consumption parameter information includes：Building energy consumption monitoring parameters；Building Energy Analysis system；And building energy consumption
Assessment system.
4. a kind of energy optimization of intelligent building based on correlation rule according to claim 3 manages implementation method,
It is characterized in that：
Wherein, the building energy consumption monitoring parameters, including：
Data acquisition subsystem；And
Monitoring center,
The data acquisition subsystem, including：
Electric quantity acquisition module is illuminated, the electricity consumption information for acquiring monitoring point illumination；
Socket electric quantity acquisition module, the electricity consumption information for acquiring monitoring point socket；
Water consumption acquisition module, for acquiring monitoring point water consumption information；
Gas quantity acquisition module, for acquiring monitoring point gas quantity information；
Central heating heat consumption acquisition module, for acquiring monitoring point central heating heat consumption；
Central cooling consumption cold acquisition module, for acquiring monitoring point central cooling consumption cold；
Air conditioning electricity consumption acquisition module, for acquiring monitoring point air conditioning electricity consumption,
The monitoring center, including：
Time records setup module, the time and date of the data for recording the data acquisition subsystem acquisition and setting
The data acquisition subsystem acquires the acquisition time section of the data；
Information content statistical module carries out cumulative summation for the data to the acquisition in the acquisition time section；
Construction unit area electricity consumption computing module, for calculating construction unit area electricity consumption；
Unit area electric consumption on lighting amount computing module is used for unit of account area electric consumption on lighting amount；
Unit area jack device electricity consumption computing module is used for unit of account area jack device electricity consumption；
Unit area air conditioning electricity consumption computing module is used for unit of account area air conditioning electricity consumption.
5. a kind of energy optimization of intelligent building based on correlation rule according to claim 4 manages implementation method,
It is characterized in that：
Wherein, the Building Energy Analysis system, including：
Total energy consumption comparative analysis module carries out cumulative ask for described information amount statistical module to gathered data in acquisition time section
With it is rear, the summed data of data with the building other acquisition time sections after summation is compared analysis analysis；
Unit area comparative analysis module, construction unit area electricity consumption, unit area for being directed to same building object respectively
Electric consumption on lighting amount, unit area jack device electricity consumption, unit area air conditioning electricity consumption are in the case of the different acquisition period
It is compared analysis, or is directed to same acquisition time section, the construction unit area electricity consumption of different buildings, unit area illumination
Electricity consumption, unit area jack device electricity consumption, unit area air conditioning electricity consumption are compared analysis.
6. a kind of energy optimization of intelligent building based on correlation rule according to claim 3 manages implementation method,
It is characterized in that：
Wherein, the building energy consumption monitoring parameters, including：
Data acquisition subsystem；And
Monitoring center,
The data acquisition subsystem, including：
Refrigeration unit data acquisition module, for acquiring total active energy data information, three-phase voltage when refrigeration unit is run
Data information, three-phase current data information, active power data information, reactive power data information, power factor data information,
Frequency data information；
Cooling water pump data acquisition module, for acquiring total active energy data information, three-phase voltage when cooling water pump is run
Data information, three-phase current data information, active power data information, reactive power data information, power factor data information,
Frequency data information；And
Blower fan of cooling tower data acquisition module, for acquiring total active energy data information, three-phase when blower fan of cooling tower is run
Voltage data information, three-phase current data information, active power data information, reactive power data information, power factor data
Information, frequency data information,
The monitoring center receives the refrigeration unit data acquisition module, the cooling water pump data by communication network respectively
The data information of acquisition module, the blower fan of cooling tower data collecting module collected, and every data information of acquisition is carried out
Storage counts, and handles, display.
7. a kind of energy optimization of intelligent building based on correlation rule according to claim 3 manages implementation method,
It is characterized in that：
Wherein, the building energy consumption assessment system, including：
Central air-conditioning extension set；Valve sensing device；Wind speed sensing device；And control panel,
Each central air-conditioning extension set is equipped with fan coil, and each fan coil is equipped with pipeline valve, the valve
Door sensing device and the wind speed sensing device are separately positioned on each fan coil, and are connected with the pipeline valve
It connects, the valve sensing device incudes the open and close of the pipeline valve, and the wind speed sensing device is described for incuding
The wind speed information of fan coil,
The building energy consumption monitoring parameters, including：Monitoring center,
The monitoring center, including：
Data acquisition module is separately connected with the valve sensing device and the wind speed sensing device, for obtaining valve sense
It answers the open and close state of the corresponding pipeline valve of device induction and obtains the wind speed information of the fan coil；
Time measurement module, the duration of the open and close for measuring each pipeline valve；And
Charging module, the open and close state for incuding the pipeline valve according to the valve sensing device, and combine
The opening time and wind speed information of each pipeline valve of time measurement module metering, calculate the electricity of each electricity consumer
Take,
The control panel, there is wind-speed adjusting device,
The wind-speed adjusting device, the output wind speed for adjusting the central air-conditioning extension set；
The wind-speed adjusting device is equipped with low-grade wind speed, middle-grade wind speed, high-grade wind speed,
The time measurement module, is provided with：
Submodule when low-grade airspeedometer, for measuring operation duration of the central air conditioner machine in low-grade wind speed,
Submodule when middle-grade airspeedometer, for measuring operation duration of the central air conditioner machine in middle-grade wind speed,
Submodule when high-grade airspeedometer, for measuring operation duration of the central air conditioner machine in high-grade wind speed.
8. a kind of energy optimization of intelligent building based on correlation rule according to claim 7 manages implementation method,
It is characterized in that：
Wherein, the control panel, including：
Room temperature sensor, for incuding the temperature in room；And
Room address module, for setting room address coding,
The Building Energy Analysis system, including：Data obtaining module；And K line generation units,
The K lines generation unit, including：Sampling time section setting module；K line decomposing modules；K line statistical modules；And K line charts
Show generation module,
Described information acquisition module is communicated to connect with the room address module and the room temperature sensor respectively,
Described information acquisition module is used to obtain temperature information in room address coding and each room, and by the room of acquisition
Between address coding and the temperature information be transferred to the K lines generation unit,
The K lines slot setup module is used in the sampling time section that the sampling time section setting module is set, and setting is single
The display duration of a line,
The sampling time section setting module, the sampling time section for described information acquisition module to be arranged；
The K lines decomposing module is decomposited for showing duration according to the sampling time section and K lines of setting in setting
Include the number of K lines in the sampling time section；
K line statistical modules are used in the duration that K lines are shown, the peak and minimum of statistic sampling temperature；And
K line charts show generation module, for according to the temperature information in the room address coding of reception and each room, using
Two-dimensional coordinate system is generated in the distribution situation for setting all temperature lines in each room in the sampling time section.
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110264080A (en) * | 2019-06-20 | 2019-09-20 | 天津市建筑设计院 | A kind of green building runnability evaluation method, device, equipment and storage medium |
| CN110276496A (en) * | 2019-06-27 | 2019-09-24 | 成都慧众云信息技术有限公司 | Combustion gas energy consumption data processing method, system and gas appliance based on cloud computing |
| CN110597116A (en) * | 2019-09-09 | 2019-12-20 | 重庆大学 | Real-time dynamic energy management and control system based on building energy consumption data |
| CN111260138A (en) * | 2020-01-18 | 2020-06-09 | 湖南大学 | Thermal power generating unit energy consumption dynamic optimization method based on weighting and self-adaptive parallel association rules |
| CN112213953A (en) * | 2020-10-21 | 2021-01-12 | 深圳市紫衡技术有限公司 | Intelligent building equipment control method, platform, equipment and computer storage medium |
| JP2021018611A (en) * | 2019-07-19 | 2021-02-15 | 東京電力ホールディングス株式会社 | Estimation method, estimation device, computer program, and learned model generation method |
| CN112506066A (en) * | 2020-12-09 | 2021-03-16 | 创维集团有限公司 | Intelligent control system of intelligent house |
| CN114543275A (en) * | 2021-10-25 | 2022-05-27 | 国网浙江省电力有限公司湖州供电公司 | Air conditioner energy consumption optimization measuring and calculating method and system |
| CN116629638A (en) * | 2023-05-30 | 2023-08-22 | 华能吉林发电有限公司 | Urban municipal heat supply pipe network energy-saving analysis system based on Internet of things |
| CN117113031A (en) * | 2023-08-30 | 2023-11-24 | 广东永光新能源设计咨询有限公司 | Energy management test method, system, terminal equipment and storage medium |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202040938U (en) * | 2011-01-17 | 2011-11-16 | 福建成信绿集成有限公司 | Central air conditioning equipment energy consumption monitoring and energy conservation diagnosis system |
| CN105549516A (en) * | 2016-02-29 | 2016-05-04 | 雅讯东方（山东）科技有限公司 | Public building energy consumption monitoring system |
| CN205505300U (en) * | 2016-02-29 | 2016-08-24 | 雅讯东方（山东）科技有限公司 | Temperature display system based on K line chart |
-
2017
- 2017-03-27 CN CN201710189138.4A patent/CN108510100A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202040938U (en) * | 2011-01-17 | 2011-11-16 | 福建成信绿集成有限公司 | Central air conditioning equipment energy consumption monitoring and energy conservation diagnosis system |
| CN105549516A (en) * | 2016-02-29 | 2016-05-04 | 雅讯东方（山东）科技有限公司 | Public building energy consumption monitoring system |
| CN205505300U (en) * | 2016-02-29 | 2016-08-24 | 雅讯东方（山东）科技有限公司 | Temperature display system based on K line chart |
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110264080A (en) * | 2019-06-20 | 2019-09-20 | 天津市建筑设计院 | A kind of green building runnability evaluation method, device, equipment and storage medium |
| CN110264080B (en) * | 2019-06-20 | 2023-05-23 | 天津市建筑设计院 | Method, device, equipment and storage medium for evaluating running performance of green building |
| CN110276496A (en) * | 2019-06-27 | 2019-09-24 | 成都慧众云信息技术有限公司 | Combustion gas energy consumption data processing method, system and gas appliance based on cloud computing |
| CN110276496B (en) * | 2019-06-27 | 2020-05-08 | 成都慧众云信息技术有限公司 | Gas energy consumption data processing method and system based on cloud computing and gas appliance |
| JP7375355B2 (en) | 2019-07-19 | 2023-11-08 | 東京電力ホールディングス株式会社 | Estimation method, estimation device, computer program, and method for generating a trained model |
| JP2021018611A (en) * | 2019-07-19 | 2021-02-15 | 東京電力ホールディングス株式会社 | Estimation method, estimation device, computer program, and learned model generation method |
| CN110597116A (en) * | 2019-09-09 | 2019-12-20 | 重庆大学 | Real-time dynamic energy management and control system based on building energy consumption data |
| CN111260138A (en) * | 2020-01-18 | 2020-06-09 | 湖南大学 | Thermal power generating unit energy consumption dynamic optimization method based on weighting and self-adaptive parallel association rules |
| CN111260138B (en) * | 2020-01-18 | 2023-05-26 | 湖南大学 | Dynamic optimization method for thermal power unit energy consumption by weighting and self-adaptive parallel association rule |
| CN112213953A (en) * | 2020-10-21 | 2021-01-12 | 深圳市紫衡技术有限公司 | Intelligent building equipment control method, platform, equipment and computer storage medium |
| CN112506066A (en) * | 2020-12-09 | 2021-03-16 | 创维集团有限公司 | Intelligent control system of intelligent house |
| CN114543275A (en) * | 2021-10-25 | 2022-05-27 | 国网浙江省电力有限公司湖州供电公司 | Air conditioner energy consumption optimization measuring and calculating method and system |
| CN114543275B (en) * | 2021-10-25 | 2023-09-01 | 国网浙江省电力有限公司湖州供电公司 | Energy optimization measuring and calculating method and system for air conditioner |
| CN116629638A (en) * | 2023-05-30 | 2023-08-22 | 华能吉林发电有限公司 | Urban municipal heat supply pipe network energy-saving analysis system based on Internet of things |
| CN116629638B (en) * | 2023-05-30 | 2023-11-21 | 华能吉林发电有限公司 | Urban municipal heat supply pipe network energy-saving analysis system based on Internet of things |
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Application publication date: 20180907 |