CN111966007A - District heating prediction system - Google Patents

Abstract

The invention discloses a regional heat supply prediction system, which comprises a hardware part integrated with a power supply module, a control module, a sampling module, a communication module, a calculation module and a storage module, and a software part integrated with a regional heat demand prediction module, a regional heat supply temperature optimization module, a regional heat supply production optimization module and a local weather forecast optimization module; the regional heat demand prediction module provides accurate heat demand prediction; the regional heat supply temperature optimization module reduces the supply temperature to the minimum under the condition of meeting the heat and temperature requirements; a district heating production optimization module calculates an optimal production plan using the heat demand prediction and related data about heating equipment and a district heating network; the local weather forecast optimization module provides more accurate local weather forecast optimization for the local. The invention can provide accurate regional heat supply prediction information, thereby effectively managing a heat supply network, reducing heat energy loss and reducing heat cost.

Description

District heating prediction system

Technical Field

The invention relates to the technical field of heat energy management, in particular to a regional heat supply prediction system.

Background

In the future, the national power grid will promote research and development of related technical equipment and demonstration engineering construction, establish a marketized operation system and continuously deepen development of comprehensive energy service business through four business fields of comprehensive energy efficiency service, cooling, heating, power supply and multiple energy service, distributed energy service, exclusive electric vehicle service and the like.

With the development of internet information technology and renewable energy technology, the electric power reform process is accelerated, and the development of comprehensive energy service becomes an important development direction for improving energy efficiency, reducing energy cost and promoting competition and cooperation.

In the competition of the comprehensive energy market, in the future, regional heating needs to pay more attention to heat demand prediction, effective management of a heating network, reduction of heat energy loss and reduction of heat cost, but a solution integrating the functions is lacking at present.

Disclosure of Invention

The invention aims to overcome the defects of the prior art and provides a regional heating prediction system which can provide accurate regional heating prediction information, thereby effectively managing a heating network, reducing heat energy loss and reducing heat cost.

In order to achieve the purpose, the technical scheme provided by the invention is as follows: a district heating prediction system comprising:

the hardware part is integrated with a power supply module, a control module, a sampling module, a communication module, a calculation module and a storage module; the power supply module is used for supplying power to the control module, the sampling module, the communication module, the calculation module and the storage module; the control module is used for controlling data sampling, data transmission, calculation analysis and instruction control of the hardware part; the sampling module is used for acquiring the real-time temperature, the heat load and the flow of a regional heat supply network, the temperature of heat supply equipment and return water, the related information of a regional heat supply network architecture and the air temperature, the air speed and the solar radiation condition of a local environment; the communication module is used for transmitting data, uploading the data to the cloud server, controlling data to be downloaded and executed, collecting and verifying weather forecast data and exchanging real-time data among equipment; the calculation module is used for local data calculation, data analysis, parameter adjustment and edge calculation of the equipment; the storage module is used for storing, analyzing and storing data in real time;

the software part is integrated with a regional heat demand prediction module, a regional heat supply temperature optimization module, a regional heat supply production optimization module and a local weather forecast optimization module; the regional heat demand prediction module provides accurate heat demand prediction by automatically identifying and considering system behaviors of heat consumption users based on online monitoring and historical data; the regional heat supply temperature optimization module reduces the supply temperature to the minimum under the condition of meeting the heat and temperature requirements by calculating the optimal supply temperature of the regional heat supply network; the district heating production optimization module uses the heat demand prediction and related data about heating equipment and the district heating network to calculate an optimal production plan to ensure that the heat demand is met and the production cost is minimized; the local weather forecast optimization module takes a plurality of weather models as input and combines the related information of weather forecast to provide more accurate local weather forecast optimization for the local.

Furthermore, the hardware part is reserved with an extensible module.

Compared with the prior art, the invention has the following advantages and beneficial effects:

the invention provides a reliable regional heat supply prediction solution, in particular to a hardware and software combined integrated system, which can provide accurate regional heat supply prediction information through data acquisition and computational analysis, thereby effectively managing a heat supply network, reducing heat energy loss and heat cost, providing regional heat supply value-added service, reducing operation cost and having wide application prospect in comprehensive energy market competition.

Drawings

FIG. 1 is an architectural diagram of the system of the present invention.

Fig. 2 is a schematic diagram of installation location and communication between two district heating prediction systems.

Detailed Description

The present invention will be further described with reference to the following specific examples.

As shown in fig. 1, the district heating prediction system provided in this embodiment includes a hardware portion and a software portion, where:

the hardware part is integrated with a power supply module, a control module, a sampling module, a communication module, a calculation module and a storage module, and an expandable module is reserved; the power supply module is used for supplying power to the control module, the sampling module, the communication module, the calculation module and the storage module, and can adopt a battery mode or a local power supply mode; the control module is used for controlling data sampling, data transmission, calculation analysis and instruction control of the hardware part; the sampling module is used for acquiring relevant information such as real-time temperature, heat load and flow of a regional heat supply network, heat supply equipment and return water temperature and the like, and relevant information of a regional heat supply network architecture and relevant information such as local environment air temperature, wind speed and solar radiation; the communication module is used for transmitting data, uploading to a cloud server, controlling data to be downloaded and executed, and also comprises the collection and verification of other data such as weather forecast and the like and the real-time data exchange among devices; the calculation module is used for local data calculation, data analysis, parameter adjustment, edge calculation and the like of the equipment; the storage module is used for data real-time storage, analysis, storage and the like.

The software part is integrated with a regional heat demand prediction module, a regional heat supply temperature optimization module, a regional heat supply production optimization module and a local weather forecast optimization module; the regional heat demand prediction module provides accurate heat demand prediction by automatically identifying and considering system behaviors of heat energy consumption users based on online monitoring and historical data; the regional heat supply temperature optimization module reduces the supply temperature to the minimum under the condition of meeting the heat and temperature requirements by calculating the optimal supply temperature of the regional heat supply network; the district heating production optimization module uses the heat demand prediction and related data about heating equipment and the district heating network to calculate an optimal production plan to ensure that the heat demand is met and the production cost is minimized; the local weather forecast optimization module takes a plurality of weather models as input and combines the related information of weather forecast to provide more accurate local weather forecast optimization for the local.

When the system is used, corresponding district heating prediction systems can be configured according to different district heating network nodes, namely one district heating network node is configured with one district heating prediction system, as shown in fig. 2, the two district heating prediction systems are respectively installed on the two district heating network nodes, specifically, the district heating prediction system 1 is installed on the district heating network node 1, the district heating prediction system 2 is installed on the district heating network node 2, and data exchange is realized between the two district heating prediction systems through a communication module; each regional heat supply prediction system acquires relevant information such as real-time temperature, heat load, flow, heat supply equipment and return water temperature and the like, regional heat supply network architecture relevant information, local environment air temperature, wind speed, solar radiation and the like of a heat supply network through a respective sampling module; the communication module transmits data to the control module, the computing module, the storage module and the cloud server in real time; the communication module realizes real-time mutual communication of data of the hardware part and the software part, and then accurate heat prediction information is generated through calculation and analysis of the regional heat demand prediction module, the regional heat supply temperature optimization module, the regional heat supply production optimization module, the local weather forecast optimization module and the like, so that operation and maintenance are effectively managed and cost is reduced.

The above-mentioned embodiments are merely preferred embodiments of the present invention, and the scope of the present invention is not limited thereto, so that variations based on the shape and principle of the present invention should be covered within the scope of the present invention.

Claims (2)

1. A district heating prediction system, comprising:

the hardware part is integrated with a power supply module, a control module, a sampling module, a communication module, a calculation module and a storage module; the power supply module is used for supplying power to the control module, the sampling module, the communication module, the calculation module and the storage module; the control module is used for controlling data sampling, data transmission, calculation analysis and instruction control of the hardware part; the sampling module is used for acquiring the real-time temperature, the heat load and the flow of a regional heat supply network, the temperature of heat supply equipment and return water, the related information of a regional heat supply network architecture and the air temperature, the air speed and the solar radiation condition of a local environment; the communication module is used for transmitting data, uploading the data to the cloud server, controlling data to be downloaded and executed, collecting and verifying weather forecast data and exchanging real-time data among equipment; the calculation module is used for local data calculation, data analysis, parameter adjustment and edge calculation of the equipment; the storage module is used for storing, analyzing and storing data in real time;

the software part is integrated with a regional heat demand prediction module, a regional heat supply temperature optimization module, a regional heat supply production optimization module and a local weather forecast optimization module; the regional heat demand prediction module provides accurate heat demand prediction by automatically identifying and considering system behaviors of heat consumption users based on online monitoring and historical data; the regional heat supply temperature optimization module reduces the supply temperature to the minimum under the condition of meeting the heat and temperature requirements by calculating the optimal supply temperature of the regional heat supply network; the district heating production optimization module uses the heat demand prediction and related data about heating equipment and the district heating network to calculate an optimal production plan to ensure that the heat demand is met and the production cost is minimized; the local weather forecast optimization module takes a plurality of weather models as input and combines the related information of weather forecast to provide more accurate local weather forecast optimization for the local.

2. A district heating prediction system as claimed in claim 1, characterised in that: and the hardware part is reserved with an extensible module.

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