CN217785305U

CN217785305U - Intelligent heating system combined with grid weather forecast cloud

Info

Publication number: CN217785305U
Application number: CN202220237653.1U
Authority: CN
Inventors: 朱文中; 车方; 王晓霞; 曹荣; 蒋文
Original assignee: Hangzhou Huadian Energy Engineering Co ltd
Current assignee: Hangzhou Huadian Energy Engineering Co ltd
Priority date: 2022-01-28
Filing date: 2022-01-28
Publication date: 2022-11-11
Anticipated expiration: 2032-01-28

Abstract

The utility model discloses an intelligent heating system who combines grid weather forecast cloud, including information acquisition end, information transceiver, PLC controller, electric control valve, one net pipeline, heat supply network head station, plate heat exchanger, two net pipelines and circulating pump etc. this system inserts China meteorological bureau grid weather forecast cloud into heating system, and minimum grid precision reaches 1 kilometer, can accurately obtain the meteorological data in each heat transfer station heat supply region, adjusts the heat supply capacity of heat transfer station according to meteorological data, guarantees the heat supply quality; the investment of meteorological measurement hardware of the traditional heat exchange station is reduced, and the failure rate of the hardware is reduced; the weather state of each heat supply area in a future period can be accurately forecasted, and basis is provided for future heat supply strategies.

Description

Intelligent heat supply system combined with grid weather forecast cloud

Technical Field

The utility model relates to a combine intelligent heating system of net weather forecast cloud mainly is applied to resident's heat supply field.

Background

With the great development of Chinese economy and the acceleration of urbanization process, the scale of central heating in winter is larger and larger, and the central heating becomes an essential part of the life of residents. At present, most of heat supply systems adopt an outdoor temperature adjusting technology, and sensors are required to be installed outside each heat exchange station to measure outdoor temperature.

The heating system in the prior art has the problems of single meteorological parameter, excessive hardware equipment investment, high failure rate and the like, and can only reflect the outdoor temperature outside a heat exchange station and cannot accurately reflect the overall outdoor temperature of an area where a heat user is located. In order to ensure the heating effect of residents and realize accurate adjustment, the traditional local outdoor temperature adjusting system must be changed, and a networking type intelligent heating system is promoted.

SUMMERY OF THE UTILITY MODEL

An object of the utility model is to overcome the above-mentioned not enough that exist among the prior art, and provide a reasonable in design's intelligent heating system who combines grid weather forecast cloud.

The utility model provides a technical scheme that above-mentioned problem adopted is: the intelligent heating system is characterized by comprising an information acquisition end, an information transceiver, a PLC (programmable logic controller), an electric control valve, a first network pipeline, a heat supply network head station, a plate heat exchanger, a second network pipeline and a circulating pump, wherein the information acquisition end is connected with the information transceiver, the information transceiver is in communication connection with the PLC, the PLC is connected with the electric control valve through a signal line, the electric control valve is installed on the first network pipeline, the first network pipeline is connected with the heat supply network head station, the first network pipeline and the second network pipeline are both connected with the plate heat exchanger, the circulating pump is installed on the second network pipeline, and the second network pipeline is connected with a heat consumer.

The method comprises the steps that an information acquisition end acquires meteorological data from a grid meteorological forecast cloud of a central meteorological bureau, the meteorological data are sent to an information transceiver, the information transceiver processes the received meteorological data and distributes the received meteorological data to PLC controllers of all heat exchange stations, the PLC controllers process the received meteorological data of areas where heat users are located, the comprehensive temperature of a network pipeline is calculated, the comprehensive temperature of the network pipeline is compared with the actual temperature of the network pipeline and then an opening instruction is sent to an electric regulating valve, the electric regulating valve executes the instruction of the PLC controllers and moves to the opening required by the instruction, the network pipeline acquires heat from a first station of the heat supply network, the network pipeline is heated through a plate type heat exchanger, the opening of the electric regulating valve controls the heat exchange amount of the network pipeline and the heat exchange amount of the network pipeline, a circulating pump overcomes the circulating resistance of the network pipeline, and pushes the network pipeline to supply heat to the heat users, and the room temperature of the heat users reaches the standard.

Compared with the prior art, the utility model, have following advantage and effect: meteorological data of heat supply areas of the heat exchange stations can be accurately obtained, the heat supply amount of the heat exchange stations is adjusted according to the meteorological data, and the heat supply quality is guaranteed; the investment of meteorological measurement hardware of the traditional heat exchange station is reduced, and the failure rate of the hardware is reduced; the weather state of each heat supply area in a future period can be accurately forecasted, and basis is provided for future heat supply strategies.

Drawings

Fig. 1 is a schematic diagram of the system structure of the present invention.

Fig. 2 is a schematic diagram of the grid weather forecast of the present invention.

In the figure: the system comprises an information acquisition end 1, an information transceiver 2, a PLC (programmable logic controller) 3, an electric regulating valve 4, a first network pipeline 5, a heat supply network initial station 6, a plate heat exchanger 7, a second network pipeline 8, a circulating pump 9 and a heat consumer 10; the information acquisition terminal 1, the information transceiver 2 and the PLC controller 3 are conventional products.

Detailed Description

The present invention will be described in further detail by way of examples with reference to the accompanying drawings, which are illustrative of the present invention and are not intended to limit the present invention.

Examples are given.

Referring to fig. 1, in this embodiment, an intelligent heating system that combines grid meteorological forecast cloud, including information acquisition end 1, information transceiver 2, PLC controller 3, electrical control valve 4, a net pipeline 5, heat supply network head station 6, plate heat exchanger 7, two net pipelines 8 and circulating pump 9, information acquisition end 1 is connected with information transceiver 2, information transceiver 2 is connected with PLC controller 3 communication, PLC controller 3 passes through the signal line and is connected with electrical control valve 4, electrical control valve 4 installs on a net pipeline 5, a net pipeline 5 links to each other with heat supply network head station 6, a net pipeline 5 and two net pipelines 8 all are connected with plate heat exchanger 7, circulating pump 9 installs on two net pipelines 8, two net pipelines 8 are connected with heat consumer 10.

Referring to fig. 2, in the present embodiment, the heat supply area is divided into grids, and accurate weather forecast is performed on the heat users 10 in the grids, where the minimum grid accuracy reaches 1 km × 1 km.

The information acquisition terminal 1 is connected with the information transceiver 2 through a network, the information acquisition terminal 1 sends meteorological data acquired from a grid meteorological forecast cloud of a central meteorological office to the information transceiver 2, and the information transceiver 2 processes the meteorological data and matches the meteorological data of the region where each heat exchange station heat user 10 is located.

The information transceiver 2 is connected with the PLC 3 through a communication interface, and the information transceiver 2 distributes the regional meteorological data to the PLC 3 corresponding to the heat exchange station.

The PLC 3 processes the received regional meteorological data and calculates the comprehensive temperature of the network pipeline 5 according to the temperature, the wind power, the precipitation, the cloud cover and the relative humidity. The PLC 3 calculates and adjusts the opening degree of the electric control valve 4 according to the deviation of the comprehensive temperature of the one-network pipeline 5 and the actual temperature of the one-network pipeline 5.

The PLC 3 is connected with the electric control valve 4 through a signal line, the PLC 3 sends an opening instruction to the electric control valve 4, and the electric control valve 4 acts in place according to the opening instruction.

The first network pipeline 5 is connected with the first heat supply network station 6, the first heat supply network station 6 conveys high-temperature hot water to the first network pipeline 5, and the electric regulating valve 4 regulates the heat of the first network pipeline 5 through the change of the opening degree.

The one-network pipe 5 transfers heat to the two-network pipe 8 via the plate heat exchanger 7.

The circulating pump 9 overcomes the circulation resistance of the two-network pipeline 8, hot water of the pumping two-network pipeline 8 supplies heat to the heat user 10, the room temperature reaches the standard after the heat user 10 absorbs the heat of the two-network pipeline 8, the whole system ensures the heat supply effect of the heat user 10, and accurate adjustment is realized.

Those not described in detail in this specification are well within the skill of the art.

In addition, it should be noted that the above contents described in the present specification are only illustrations of the structure of the present invention. All equivalent changes made according to the structure, characteristics and principle of the utility model are included in the protection scope of the utility model. Those skilled in the art can modify, supplement, or substitute the described embodiments without departing from the scope of the invention as defined by the claims.

Claims

1. The utility model provides a combine intelligent heating system of net weather forecast cloud, characterized by, includes information acquisition end (1), information transceiver (2), PLC controller (3), electrical control valve (4), a net pipeline (5), heat supply network head station (6), plate heat exchanger (7), two net pipelines (8) and circulating pump (9), information acquisition end (1) is connected with information transceiver (2), information transceiver (2) are connected with PLC controller (3) communication, PLC controller (3) pass through the signal line and are connected with electrical control valve (4), electrical control valve (4) are installed on a net pipeline (5), a net pipeline (5) links to each other with heat supply network head station (6), a net pipeline (5) and two net pipelines (8) all are connected with plate heat exchanger (7), circulating pump (9) are installed on two net pipelines (8), two net pipelines (8) are connected with heat consumer (10).

2. Intelligent heating system incorporating a grid weather forecast cloud in accordance with claim 1, characterized in that said thermal users (10) are divided into a plurality of zones.