CN211526662U - Subway station ventilation air conditioner economizer system based on load prediction - Google Patents
Subway station ventilation air conditioner economizer system based on load prediction Download PDFInfo
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- CN211526662U CN211526662U CN201922355430.6U CN201922355430U CN211526662U CN 211526662 U CN211526662 U CN 211526662U CN 201922355430 U CN201922355430 U CN 201922355430U CN 211526662 U CN211526662 U CN 211526662U
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Abstract
The utility model discloses a subway station ventilation air conditioner economizer system based on load prediction, including the electric energy monitoring unit who is used for gathering the real-time electric energy parameter of station consumer, a humiture monitoring unit for gathering the inside and outside and real-time humiture parameter of ventilation air conditioning system of station, a passenger flow monitoring unit for gathering the passenger flow parameter of business turn over station, be used for gathering mechanical new trend, the wind speed monitoring unit of air supply and the wind speed of airing exhaust back, be used for gathering the refrigerated water, the flow monitoring unit of cooling water flow, central control unit, a cooling water unit for adjusting temperature and humidity in the station, air handling unit, the cooling tower unit, water pump unit and fan unit. The utility model discloses can carry out real-time dynamic adjustment to the humiture in the station, reach intelligent regulation control, trend and judge in advance, energy-conserving management, reduce the energy consumption, reduce effects such as operating cost.
Description
Technical Field
The utility model relates to a load prediction and automated control field, concretely relates to subway station ventilation air conditioner economizer system based on load prediction.
Background
In recent years, with the appearance of subways, convenience can be brought to the outgoing of people, traffic pressure can be relieved, and subways become necessary products of big cities in the continuous development process. At present, many cities are still under construction or extension in China. However, the whole subway system is a huge energy consumer, and because the subway is usually built underground and serves passengers better, the subway has high requirements in the operation process, and a large amount of instruments and equipment with high precision are needed to ensure the safety of the passengers and bring comfortable riding environment for the passengers. The power consumption of the subway during this process is enormous. The energy consumption of the ventilation and air-conditioning system of the subway station is nearly 1/3, so how to effectively reduce the energy consumption of the ventilation and air-conditioning system of the subway station becomes important.
At present, a ventilation and air-conditioning system of a subway station is divided into a large system and a small system according to a public area and an equipment area, and the large system and the small system of many stations are provided with cooling capacity by a common water chilling unit. The large system is typically on during the day's run, while the small system is on for 24 hours. When the temperature outside the station is lower than a certain set temperature, the heat dissipation of the station is mainly realized through ventilation, and when the temperature outside the station is higher than the certain set temperature, the air conditioner is mainly utilized for refrigeration. At present, a ventilation and air-conditioning system of a subway station is designed according to the long-term maximum load and has a certain margin, but the system load presents obvious peak-valley difference along with the change of passenger flow, outdoor temperature and humidity, train number and the like, the full-load operation time is very short, and the load fluctuation is large. In addition, the subway station ventilation air-conditioning system also has the characteristic of large time lag.
Therefore, the operation mode of the existing subway station ventilation and air conditioning system needs to be improved so as to reduce the operation energy consumption.
Disclosure of Invention
To the problem that exists, the utility model aims to provide a subway station ventilation air conditioning economizer system and method based on load prediction combines together prediction and on-line monitoring, carries out optimal control to ventilation air conditioning system's operating parameter, on the basis of guaranteeing passenger's comfort level demand, reduces subway station ventilation air conditioning system energy consumption.
In order to achieve the purpose, the utility model adopts the technical proposal that:
a subway station ventilation air-conditioning energy-saving system based on load prediction comprises an electric energy monitoring unit for acquiring real-time electric energy parameters of electric equipment used in a station, a temperature and humidity monitoring unit for acquiring real-time temperature and humidity parameters of the inside and outside of the station and a ventilation air-conditioning system, a passenger flow monitoring unit for acquiring passenger flow parameters entering and exiting the station, a wind speed monitoring unit for acquiring fresh mechanical wind speed, air supply and return exhaust wind speed, a flow monitoring unit for acquiring chilled water and cooling water flow, a central control unit, a water chilling unit for adjusting temperature and humidity in the station, an air handling unit, a cooling tower unit, a water pump unit and a fan unit; the electric energy monitoring unit, the temperature and humidity monitoring unit, the passenger flow monitoring unit, the wind speed monitoring unit and the wind speed monitoring unit are all connected with the input end of the central control unit, and the output end of the central control unit is connected with the water chilling unit, the air handling unit, the cooling tower unit, the water pump unit and the fan unit.
As an improvement of the utility model, the electric energy monitoring unit include current transformer and multi-functional coulomb meter.
As an improvement of the utility model, the humiture monitoring unit including set up in the fresh air pipeline entry outside the station temperature and humidity sensor, set up return air temperature and humidity sensor in the return air pipeline, set up air supply temperature and humidity sensor behind the air handling unit, set up at the refrigerated water temperature sensor that cooling water set imported and exported, set up at the cooling tower cooling water temperature sensor of importing and exporting, set up the wet bulb temperature sensor at the cooling tower fan entry.
As an improvement of the utility model, the central control unit comprises an arithmetic unit, a controller and a memory.
Compared with the prior art, the beneficial effects of the utility model are that:
the utility model discloses according to the electric energy parameter of consumer, the monitoring parameter of environment, the passenger flow volume that drives one by one, new amount of wind and train timetable, the load change under the different operating condition of prediction subway station to according to the inside and outside and ventilation air conditioning system's of station real-time humiture parameter, output control order carries out real-time dynamic adjustment to each unit of ventilation air conditioning system to relevant parameter, in order to reach the trend and judge in advance, intelligent regulation control, energy-conserving management, reduce the energy consumption, reduce effects such as operating cost.
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Fig. 1 is the utility model discloses subway station ventilation air conditioner economizer system's based on load prediction structural schematic.
Detailed Description
In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention is described in detail with reference to the accompanying drawings and the detailed description.
As shown in fig. 1, the utility model discloses a subway station ventilation air conditioner economizer system based on load prediction, including central control unit and the electric energy monitoring unit, humiture monitoring unit, flow monitoring unit, wind speed monitoring unit, passenger flow monitoring unit, meteorological correction unit, cooling water set unit, air handling unit, cooling tower unit, water pump unit and the fan unit that links to each other and communicate with it respectively.
The electric energy monitoring unit mainly comprises a current transformer, a multifunctional electricity meter and the like, is connected in series on a power line of the station electric equipment, acquires electric energy parameters of the electric equipment in real time, and uploads the electric energy parameters to the central control unit. The electric energy parameters include, but are not limited to, current, voltage, power and other information, and the calorific value of the equipment is predicted by calculating the load factor of each equipment. The electric equipment mainly refers to equipment in public areas and equipment management rooms, and comprises but is not limited to elevators, ticket vending machines, screen doors, civil communication equipment/power supplies, transformers, distribution boxes, control cabinets and the like. Meanwhile, each device can also be matched with a temperature sensor for acquiring the temperature of the device and uploading the temperature to the central control unit.
Temperature and humidity monitoring unit, including setting up the outside temperature and humidity sensor of standing at fresh air pipeline entry, the return air temperature and humidity sensor of setting in the return air pipeline, the temperature and humidity sensor of setting before the air treatment unit, the air supply temperature and humidity sensor of setting behind the air treatment unit, the refrigerated water temperature sensor of setting at the cooling water unit exit, the cooling water temperature sensor of setting at the cooling tower exit, the wet bulb temperature sensor of setting at the cooling tower fan entry, in order to obtain the inside and outside real-time temperature and humidity parameter of station, the real-time humiture of the inside air of air conditioning system, the real-time temperature of refrigerated water and cooling water, and upload to central control unit. In this embodiment, the temperature and humidity in the station are replaced by the return air temperature and humidity.
And the wind speed monitoring unit is used for respectively arranging wind speed monitoring points in the straight pipes with stable airflow of the fresh air pipe, the air supply pipe, the return air pipe and the exhaust pipe, uploading the measured wind speed to the central control unit, and calculating the corresponding wind volume according to the size of the pipeline.
And the monitoring points are respectively arranged in the delivery pipelines of the chilled water and the cooling water, and the measured flow is uploaded to the central control unit.
And the weather correction unit is used for realizing the prediction of the outdoor weather data, and correcting the weather data provided by the weather bureau by utilizing the monitored outdoor temperature and humidity, so that the outdoor temperature and humidity of the next hour or the next day outside the station can be predicted by utilizing the weather data provided by the weather bureau and uploaded to the central control unit.
And the passenger flow monitoring unit is used for setting the acquisition point on the automatic ticket checking machine, checking the ticket once to calculate one passenger, uploading the passenger flow data to the central control unit, and predicting the time-by-time passenger flow by the central control unit in combination with the train timetable and the historical passenger flow data.
The central control unit is a computer specially used for industrial control, its hardware structure is basically the same as that of microcomputer, its software portion is embedded with load data base, intelligent artificial algorithm, optimization algorithm and fuzzy algorithm, and utilizes signal interface to receive monitoring data, and utilizes the above-mentioned monitoring data to make processing, and then outputs control command to water cooling machine unit, cooling tower unit, air treatment machine unit, water pump and fan unit. The load database is used for storing the collected load data of the ventilation and air-conditioning system of the subway station and corresponding operating conditions, such as meteorological data, temperature and humidity in the station, passenger flow, train timetables, fresh air volume, operating loads of lighting and other equipment and the like, and the related data of the database are continuously increased along with the operation of the subway station.
The central control unit calls historical data and an artificial intelligence algorithm of the load database, and calculates a predicted value of the station load by using real-time electric energy parameters obtained by electric energy monitoring, actually measured or predicted outdoor temperature and humidity, set indoor temperature and humidity, predicted hourly passenger flow and mechanical fresh air volume in combination with a train schedule. After the station load predicted value is obtained, the optimal chilled water supply temperature, the optimal air supply temperature of the air handling unit and the optimal value of the cooling water supply temperature are obtained through an optimization algorithm which can avoid exergy loss as an optimization target. And after the optimal parameters are obtained, the central control unit calls a fuzzy algorithm, obtains the operation adjusting parameters of the ventilation and air conditioning system of the subway station by using temperature and humidity monitoring data, the operation parameters of the water chilling unit, the operation parameters of the air handling unit, the operation parameters of the cooling tower, the operation parameters of the water pump and the operation parameters of the fan as input variables, and sends the adjusting parameters to the execution unit. According to the method, the electric energy parameters of the equipment, the monitoring parameters of the environment, the hourly passenger flow, the fresh air volume and the train schedule are used as input neurons of the intelligent algorithm, so that the number and the operating frequency of the execution unit equipment of the ventilation air-conditioning system can be dynamically adjusted according to the heat productivity of the equipment and the change trend of the external environment, and the effects of reducing energy consumption, operating cost and the like are achieved.
It should be pointed out that the data processing methods related in the present application, such as intelligent algorithm, optimization algorithm, fuzzy algorithm, are all existing algorithms, and the realization of the specific functions of central control unit, weather modification unit and passenger flow monitoring unit is prior art, and does not belong to the protection scope of the present invention.
The water chilling unit, the air handling unit, the cooling tower unit, the water pump unit and the fan unit are used as a ventilation air conditioning system execution unit, receive a control instruction of the central control unit and coordinate to operate so as to adjust the temperature and the humidity in the station.
And the water chilling unit is used for executing the control command of the central control unit and adjusting the evaporation pressure, the number of the water chilling units and the load rate so as to enable the water supply temperature of the chilled water to reach an optimal value.
And the air processing unit is used for executing the control command of the central control unit and adjusting the frequency of the air processing unit so as to enable the air supply temperature of the air processing unit to reach an optimal value.
And the cooling tower unit is used for executing the control command of the central control unit and adjusting the fan frequency of the cooling tower so as to enable the water supply temperature of the cooling water to reach an optimal value.
And the water pump unit is used for executing the control command of the central control unit and adjusting the number and frequency of the cooling water pumps and the chilled water pumps so as to control the flow of the cooling water and the chilled water. Preferably, the number of the water chilling units is the same as that of the freezing water pumps.
And the fan unit is used for executing the control command of the central control unit and adjusting the frequencies of the fresh air fan, the air feeder and the air return exhauster so as to control the air volume of fresh air, air supply, air return and air exhaust.
The utility model discloses a subway station ventilation air conditioner economizer system based on load prediction's regulation step as follows:
step 1, collecting real-time electric energy parameters of electric equipment of a station, and uploading the electric energy parameters to a central control unit;
step 2, collecting the temperature and humidity outside the station, the temperature and humidity inside the station, the air supply temperature and humidity of the air handling unit, the supply and return water temperature of chilled water, the supply and return water temperature of cooling water and the wet bulb temperature of inlet air of a cooling tower, and uploading the temperature and humidity to a central control unit;
step 3, collecting the wind speeds of fresh air of the machine, air supply of the air handling unit and return exhaust air of the air conditioning system, calculating corresponding flow, and uploading the flow to the central control unit;
step 4, collecting the flow of the chilled water and the cooling water, and uploading the flow to a central control unit;
step 5, collecting real-time passenger flow, and predicting the hourly passenger flow by combining a train schedule and historical passenger flow data;
step 6, correcting the meteorological data provided by the meteorological station by using a meteorological correction unit, and predicting the outdoor temperature and humidity of the next time period;
step 7, calculating a station load predicted value through an intelligent algorithm by combining a train schedule and utilizing real-time electric energy parameters obtained through monitoring, predicted outside-station temperature and humidity, set inside-station temperature and humidity, predicted hourly passenger flow and mechanical fresh air volume;
step 8, after a station load predicted value is obtained, obtaining the optimal chilled water supply temperature, the optimal air supply temperature of the air treatment unit and the optimal value of the cooling water supply temperature by combining real-time temperature and humidity parameters, air speed and flow through an optimization algorithm which can avoid exergy loss as an optimization target;
and 9, after the optimal parameters are obtained, outputting a control command to an execution unit of the ventilation and air conditioning system through a fuzzy algorithm, and adjusting the temperature and the humidity in the station.
The above embodiments are only for illustrating the technical concept and features of the present invention, and the purpose thereof is to enable those skilled in the art to understand the contents of the present invention and to implement the present invention, which cannot limit the protection scope of the present invention. All equivalent changes and modifications made according to the spirit of the present invention should be covered by the protection scope of the present invention.
Claims (4)
1. The utility model provides a subway station ventilation air conditioner economizer system based on load prediction which characterized in that: the system comprises an electric energy monitoring unit for acquiring real-time electric energy parameters of electric equipment in a station, a temperature and humidity monitoring unit for acquiring real-time temperature and humidity parameters of the inside and outside of the station and a ventilation air-conditioning system, a passenger flow monitoring unit for acquiring passenger flow parameters entering and exiting the station, a wind speed monitoring unit for acquiring wind speeds of mechanical fresh air, air supply and return air exhaust, a flow monitoring unit for acquiring chilled water and cooling water flow, a central control unit, a water chilling unit for adjusting the temperature and humidity in the station, an air handling unit, a cooling tower unit, a water pump unit and a fan unit; the electric energy monitoring unit, the temperature and humidity monitoring unit, the passenger flow monitoring unit, the wind speed monitoring unit and the wind speed monitoring unit are all connected with the input end of the central control unit, and the output end of the central control unit is connected with the water chilling unit, the air handling unit, the cooling tower unit, the water pump unit and the fan unit.
2. The subway station ventilation air-conditioning energy-saving system based on load prediction as claimed in claim 1, wherein: the electric energy monitoring unit comprises a current transformer and a multifunctional electricity meter.
3. The subway station ventilation air-conditioning energy-saving system based on load prediction as claimed in claim 1, wherein: the temperature and humidity monitoring unit comprises an outside-station temperature and humidity sensor arranged at the inlet of the fresh air pipeline, an air return temperature and humidity sensor arranged in the air return pipeline, an air supply temperature and humidity sensor arranged behind the air handling unit, a chilled water temperature sensor arranged at the inlet and the outlet of the water chilling unit, a cooling water temperature sensor arranged at the inlet and the outlet of the cooling tower, and a wet bulb temperature sensor arranged at the inlet of a fan of the cooling tower.
4. The subway station ventilation air-conditioning energy-saving system based on load prediction as claimed in claim 1, wherein: the central control unit comprises an arithmetic unit, a controller and a memory.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201922355430.6U CN211526662U (en) | 2019-12-23 | 2019-12-23 | Subway station ventilation air conditioner economizer system based on load prediction |
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| CN201922355430.6U CN211526662U (en) | 2019-12-23 | 2019-12-23 | Subway station ventilation air conditioner economizer system based on load prediction |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112434859A (en) * | 2020-11-26 | 2021-03-02 | 国电南瑞科技股份有限公司 | Rail transit underground station environment-friendly regulation method combined with passenger flow prediction technology |
| CN114135991A (en) * | 2021-12-03 | 2022-03-04 | 中国海洋大学 | Temperature preset control and equipment early warning method for subway station public area |
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2019
- 2019-12-23 CN CN201922355430.6U patent/CN211526662U/en active Active
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112434859A (en) * | 2020-11-26 | 2021-03-02 | 国电南瑞科技股份有限公司 | Rail transit underground station environment-friendly regulation method combined with passenger flow prediction technology |
| CN112434859B (en) * | 2020-11-26 | 2022-08-26 | 国电南瑞科技股份有限公司 | Rail transit underground station environment-friendly regulation method combined with passenger flow prediction technology |
| CN114135991A (en) * | 2021-12-03 | 2022-03-04 | 中国海洋大学 | Temperature preset control and equipment early warning method for subway station public area |
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