CN114611256B

CN114611256B - Data processing method, device, equipment and storage medium

Info

Publication number: CN114611256B
Application number: CN202210218602.9A
Authority: CN
Inventors: 黄涛
Original assignee: Beijing Baidu Netcom Science and Technology Co Ltd
Current assignee: Beijing Baidu Netcom Science and Technology Co Ltd
Priority date: 2022-02-25
Filing date: 2022-02-25
Publication date: 2023-04-21
Anticipated expiration: 2042-02-25
Also published as: CN114611256A

Abstract

The present disclosure provides a data processing method, apparatus, device, and storage medium. Relates to the field of big data processing, in particular to the fields of Internet of things, heat supply and the like. The specific implementation scheme is as follows: acquiring pipe section information of a heating system, an actual heating area of a heat exchange station, a heat consumption index and a design temperature difference; constructing a pipe network diagram of the heating system based on pipe section information, the actual heating area of the heat exchange station, the heat consumption index and the design temperature difference, wherein the pipe network diagram comprises a heat source, the heat exchange station and a plurality of pipe sections for connecting the heat source and the heat exchange station; first candidate configuration data for a plurality of pipe segments is determined based on the pipe network map. According to the technical scheme, reasonable candidate configuration data can be provided for the heating system, so that the self-adaption capability of the heating system can be improved.

Description

Data processing method, device, equipment and storage medium

Technical Field

The disclosure relates to the field of big data processing, in particular to the fields of Internet of things, heating systems and the like.

Background

Along with the industrialization upgrading of the industrial Internet of things and the transformation of the structure of the traditional manufacturing industry, the traditional heat supply disputes seek intelligent and intelligent heat supply. Therefore, how to provide a reasonable optimization scheme for the traditional heat supply becomes a technical problem to be solved.

Disclosure of Invention

The present disclosure provides a data processing method, apparatus, device, and storage medium.

According to a first aspect of the present disclosure, there is provided a data processing method comprising:

acquiring pipe section information of a heating system, an actual heating area of a heat exchange station, a heat consumption index and a design temperature difference;

constructing a pipe network diagram of the heating system based on pipe section information, the actual heating area of the heat exchange station, the heat consumption index and the design temperature difference, wherein the pipe network diagram comprises a heat source, the heat exchange station and a plurality of pipe sections for connecting the heat source and the heat exchange station;

first candidate configuration data for a plurality of pipe segments is determined based on the pipe network map.

According to a second aspect of the present disclosure, there is provided a data processing apparatus comprising:

the acquisition module is used for acquiring pipe section information of the heating system, the actual heating area of the heat exchange station, heat consumption indexes and design temperature difference;

the construction module is used for constructing a pipe network diagram of the heating system based on pipe section information, the actual heating area of the heat exchange station, the heat consumption index and the design temperature difference, and the pipe network diagram comprises a heat source, the heat exchange station and a plurality of pipe sections for connecting the heat source and the heat exchange station;

and the first determining module is used for determining first candidate configuration data of the plurality of pipe sections based on the pipe network diagram.

According to a third aspect of the present disclosure, there is provided an electronic device comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method provided in the first aspect described above.

According to a fourth aspect of the present disclosure, there is provided a non-transitory computer readable storage medium storing computer instructions for causing a computer to perform the method provided in the first aspect above.

According to a fifth aspect of the present disclosure, there is provided a computer program product comprising a computer program which, when executed by a processor, implements the method provided by the first aspect described above.

The embodiment of the disclosure can provide reasonable candidate configuration data for the heating system, thereby being beneficial to improving the self-adaptive capacity of the heating system.

It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the disclosure, nor is it intended to be used to limit the scope of the disclosure. Other features of the present disclosure will become apparent from the following specification.

Drawings

The drawings are for a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:

FIG. 1 is a schematic diagram of hot water circulation in a central heating system of the related art;

FIG. 2 is a schematic diagram of a prior art dendritic pipe network;

FIG. 3 is a flow diagram of a data processing method according to an embodiment of the present disclosure;

FIG. 4 is a schematic diagram of a dendritic pipe network according to an embodiment of the present disclosure;

FIG. 5 is a second flow chart of a data processing method according to an embodiment of the present disclosure;

FIG. 6 is an abstracted pipe network topology according to an embodiment of the present disclosure;

FIG. 7 is an illustration of all pipe segment water pressure representations according to an embodiment of the present disclosure;

FIG. 8 is a schematic representation of the water pressure of the most adverse loop pipe segment in accordance with an embodiment of the present disclosure;

FIG. 9 is a schematic illustration of a most adverse loop water pressure in accordance with an embodiment of the present disclosure;

FIG. 10 is a schematic diagram of a data processing apparatus according to an embodiment of the present disclosure;

FIG. 11 is a second schematic diagram of a data processing apparatus according to an embodiment of the disclosure;

FIG. 12 is a schematic view of a scenario of data processing provided by an embodiment of the present disclosure;

fig. 13 is a block diagram of an electronic device for implementing a data processing method of an embodiment of the present disclosure.

Detailed Description

Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and should be considered as merely exemplary. Accordingly, one of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

The terms first, second, third and the like in the description and in the claims and in the above-described figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion, such as a series of steps or elements. The method, system, article, or apparatus is not necessarily limited to those explicitly listed but may include other steps or elements not explicitly listed or inherent to such process, method, article, or apparatus.

As described above in the background, conventional heating enterprises are continually seeking intelligent heating reform and transformation, and it is important to reform and transform the conventional heating to provide a reasonable optimization scheme.

Along with the transformation and transformation of heat supply enterprises, the intelligent heat supply system also faces the problem of integration of a heat supply pipe network, and the original design pipe network is difficult to integrate effectively; in addition, the original hydraulic calculation method may not be applicable any more.

The applicant has found that at least the following problems exist with respect to the pipe network design level: the existing pipe network design method has the problems of high cost, high complexity and adverse effect on secondary adjustment and optimization in the later period; the existing pipe network design is difficult to apply to the intelligent heat supply platform system after transformation, and the intelligent heat supply platform system is usually required to be integrated and embedded with a convenient and easy-to-use heat supply pipe network; the existing intelligent heat supply platform is focused on unification and supervision of a data layer, and the heat supply pipe network of a system design layer cannot be considered and integrated, so that the existing heat supply pipe network cannot be modified and upgraded for more time; the design of the central heating network often has the phenomenon of newly increased users, and the phenomenon also increases great difficulty for the design of the network; the pipe network design needs to consider more self-adaptive capacity; the irrational design causes the difficulty of operation and maintenance of a heat supply network and a heat supply system, and causes great interference and influence on normal heat supply.

The applicant has also found that, with respect to the hydraulic computing level, at least the following problems exist: the existing hydraulic calculation method does not have better extensibility and is not suitable for the hydraulic dynamic analysis of the heating network which needs to be adjusted and optimized.

Therefore, a reasonable optimization scheme is provided for the traditional heat supply, and the reasonable optimization scheme can be considered from at least one of the aspects of pipe network design and hydraulic calculation.

Before the technical scheme of the embodiments of the present disclosure is described, technical terms possibly used in the present disclosure are further described:

1) Intelligent heating system: the intelligent heating system is based on heating physical equipment, supports of the information Internet of things are utilized, intelligent heating of the heating system is achieved through big data, cloud computing technology and artificial intelligence (Artificial Intelligence, AI) technology, intelligent heating is conducted according to the dimensions of heating flow, water supply and return temperature, weather load prediction, heat user room temperature and the like, finally the energy conservation and emission reduction targets are achieved, cost is saved, and heating quality is guaranteed.

2) Heating network (heating network): the heat supply network is a pipeline system for conveying and distributing heat supply media to users by a heat source. According to the action range of the pipeline heating medium, the heating pipe network can be divided into a primary heating pipe network and a secondary heating pipe network, and the primary heating pipe network and the secondary heating pipe network form a central heating system together.

3) Primary heat supply pipe network: the primary heat supply pipe network (also called primary network for short) mainly comprises a heat source, a heat supply medium, a pipeline, a heat exchange station, a primary circulating water pump, a valve and the like: the heating medium mainly uses hot water and steam, and simultaneously uses the hot water steam, and different heating mediums are adopted according to actual requirements under different conditions of different regions. The pipeline is a transmission and distribution medium of a heating medium, and important type selection information such as pipe diameter, flow velocity, specific friction, pressure drop and the like of the pipeline need to be considered in the design of the pipeline. In the primary heating pipe network, the pipeline is divided into a primary water supply pipeline and a primary water return pipeline. The heat source generates and outputs high-temperature heat supply medium, and the two main types of regional boilers and thermal power plants are commonly included in the centralized urban heat supply system. The heat output by the heat source directly affects the heat supply of the whole heat supply system, and is also a starting point of energy consumption waste. The heat exchange station is a connecting junction of a primary heat supply pipe network and a secondary heat supply pipe network (also called secondary network for short), and is responsible for distributing primary high Wen Gongshui conveyed by a heat source to heat users through heat exchange. In the primary heating network, the heat exchange station is the end of the network system; in a secondary pipe network system, a heat exchange station may be considered a "heat source" of the pipe network system. The primary heat supply pipe network also comprises necessary primary circulating water pumps and various valve information.

4) Primary heating pipe network water circulation system: the hot water circulation principle of the primary heat supply pipe network in the centralized heat supply system is shown in fig. 1, and the water circulation flow of the primary heat supply pipe network is described in detail: firstly, the heat source generates and outputs high-temperature water, and the high-temperature water is conveyed to each heat exchange station through a water supply pipeline of a primary heat supply pipeline network under the action of a primary circulating water pump. Then, the high-temperature water exchanges heat (absorbs heat and dissipates heat) with the low-temperature backwater of the secondary heat supply pipe network user at the heat exchange station through the heat exchange equipment-heat exchange station, the water supply temperature of the primary heat supply pipe network is reduced after the heat exchange, the water is changed into the backwater of the primary heat supply pipe network, and the backwater flows back to the heat source through the backwater pipeline of the primary heat supply pipe network and is reheated. And finally, the secondary heat supply pipe network absorbs heat through heat exchange, and the temperature rises to become the water supply of the secondary heat supply pipe network. Thus, the water circulation flow of the primary heat supply pipe network is completed.

5) Secondary heat supply pipe network: the heat source and the heat exchange station are replaced by the heat exchange station and the heat user respectively, which are different from the primary heat supply pipe network, so that the description is omitted.

6) Schematic diagram of a dendritic pipe network: the dendritic pipe network is tree-shaped, the schematic diagram of the dendritic pipe network is shown in fig. 2, and all the transmission and distribution main lines are led out from the heat source, so that the method has the advantages of simple form, small capital investment and simpler operation management. The dendritic pipe network has the defect that the dendritic pipe network does not have backup heat supply capability, when a certain point of the heat supply pipe network fails, heat supply of heat users after the failure point is stopped, but as the building has certain heat storage capability, the room temperature of the building can not be greatly reduced as long as the failure is rapidly removed.

7) The most disadvantageous loop: the most unfavorable loop is usually the pipe network loop with the largest on-way resistance in the heating pipe network, namely the loop with the largest resistance loss, which is called as the word-path for short, and has the meaning of providing economic reference for the pump lift selection of the circulating water pump.

The embodiments of the present disclosure provide a data processing method, which may be applied to an electronic device, including but not limited to a fixed device and/or a mobile device, for example, a fixed device including but not limited to a server, which may be a cloud server or a general server. For example, mobile devices include, but are not limited to: one or more terminals in a mobile phone or tablet computer. As shown in fig. 3, the data processing method includes:

s301: acquiring pipe section information of a heating system, an actual heating area of a heat exchange station, a heat consumption index and a design temperature difference;

s302: constructing a pipe network diagram of the heating system based on pipe section information, the actual heating area of the heat exchange station, the heat consumption index and the design temperature difference, wherein the pipe network diagram comprises a heat source, the heat exchange station and a plurality of pipe sections for connecting the heat source and the heat exchange station;

s303: first candidate configuration data for a plurality of pipe segments is determined based on the pipe network map.

In the embodiments of the present disclosure, the heat exchange station refers to a thermal exchange station.

In the embodiments of the present disclosure, the heat consumption index refers to the amount of heat required to be consumed per square meter of heating area.

In the embodiments of the present disclosure, the design temperature difference refers to the difference in the temperature of the supply water.

In an embodiment of the present disclosure, the pipe segment information includes: the area of the pipe section, the length of the pipe section and the connection information of the pipe section; the pipe section area refers to the actual heating area of the heat exchange station to which the pipe sections are connected. The pipe section length refers to the pipe section design or laying length and supports longitude and latitude information. The connection information of the pipe section refers to the upper section and lower section information of the current pipe section.

In the disclosed embodiment, the pipe network diagram is preferably a dendritic pipe network diagram.

A schematic diagram of a dendritic tube network diagram of the present disclosure is shown in fig. 4, a heat source represents a root node (root), a solid dot represents a relay node, and a hollow rectangle represents a leaf node, that is, a heat exchange station performing actual heat exchange and heat supply; the lines between nodes are the edges of the pipe network.

In the present disclosure, the first candidate configuration data includes at least one of: pipe diameter value, flow velocity value and pressure drop value. Here, the pipe diameter value includes a pipe inner diameter value.

Further, the first candidate configuration data may further include: specific friction.

According to the technical scheme, pipe section information of a heat supply system, actual heat supply area of a heat exchange station, heat consumption indexes and design temperature difference are obtained; constructing a pipe network diagram of the heating system based on pipe section information, the actual heating area of the heat exchange station, the heat consumption index and the design temperature difference; determining first candidate configuration data of the plurality of pipe sections based on the pipe network diagram; in this way, reasonable candidate configuration data can be provided for the heating system, thereby contributing to the improvement of the self-adaptive capacity of the heating system.

In some embodiments, a dendritic pipe network diagram of a heating system is constructed based on pipe section information, an actual heating area of a heat exchange station, a heat consumption index and a design temperature difference, and the method comprises the following steps: converting the actual heat supply area of the heat exchange station into a hash table; converting the pipe section information into a pipe section list; and traversing the pipe section list and the hash table from the root node to construct nodes and edges of the heat supply pipe network until a dendritic pipe network diagram is constructed.

In some embodiments, the actual heating area s of the heat exchange station is converted into a hash table map(s); the pipe section information p is converted into a pipe section list (p).

Therefore, the dendritic pipe network diagram can be automatically built for the heat supply system based on pipe section information, the actual heat supply area of the heat exchange station, heat consumption indexes and design temperature difference, and compared with the manual design mode, the speed of building the dendritic pipe network diagram is improved, and basic support is provided for providing candidate configuration data for the heat supply system.

In some embodiments, determining first candidate configuration data for a plurality of pipe segments based on a pipe network graph includes: obtaining standard pipe section information; obtaining standard specific friction information; based on the standard pipe section information and the standard specific friction information, first candidate configuration data of the plurality of pipe sections is determined, wherein the first candidate configuration data comprises at least one of pipe diameter value, flow rate value and pressure drop value.

Wherein the standard pipe section information is shown in table 1. It will be appreciated that the values shown in table 1 may be set or adjusted according to the minimum or desired safety criteria.

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TABLE 1

Wherein, the standard specific friction information comprises a specific friction reference lower value Ri and a specific friction reference upper value. For example, ri=30 Pa/m, rx=70 Pa/m. It should be noted that the values of Ri and Rx may be set or adjusted according to cost requirements, security requirements, and the like.

Wherein the maximum allowable flow rate of the common pipeline is shown in table 2. It is understood that the data shown in table 2 are merely illustrative.

TABLE 2

In some embodiments, the maximum flow rate may be allowed with reference to the common tubing shown in table 2 when determining the flow rate value.

In some embodiments, the pipe diameter value is determined by referencing at least one of standard pipe section information, standard specific friction information, and allowable maximum flow rate of the common pipe.

In some embodiments, the flow rate value is determined by referencing at least one of standard pipe section information, standard specific friction information, and maximum allowable flow rate for a common pipe.

In some embodiments, the pressure drop value is determined by referencing at least one of standard pipe section information, standard specific friction information, and maximum allowable flow rate for a typical pipe.

Further, the selection information of the pipe section is selected based on the pipe diameter value, the flow velocity value and the pressure drop value.

Here, the profile information includes model information of the pipe.

Therefore, reasonable pipe section selection type can be provided for the heating system, and the selected pipe section has economically optimal pipeline flow rate, economical specific friction resistance and pipe section inner diameter, and reasonable pipe section pressure drop, so that the cost is reduced from the pipe network design level on the basis of not affecting the heating effect.

In some embodiments, the data processing method of the heating system may further include:

and outputting the dendritic pipeline network diagram and the first candidate configuration data of the plurality of pipeline sections in a visual form.

The corresponding first candidate configuration data may be different or the same for different pipe sections in the heating system.

In practical application, the dendritic pipe network graph and the first candidate configuration data can be stored in a preset file form.

Therefore, the visual rendering can be carried out on the heat supply pipe network in the heat supply system, and the analysis effect on the heat supply pipe network is improved.

The data processing method can be realized through a pipe network design algorithm, and the main flow of the pipe network design algorithm is shown in table 3. Specifically, the pipe network design algorithm includes the following:

1. The read is entered. Firstly, reading input dependent data (see tables 6-10) and converting the data into a data structure inside an algorithm; the actual heat supply area s of the heat exchange station is converted into a hash table map(s), and pipe network pipe section information is converted into list (p).

2. If the parameters needed by the algorithm exist, entering a pipe network initialization construction main flow: firstly, finding a root node (root) of a dendritic pipe network, and adding an Edge (Edge) where the root node is located into a queue (deque); the root node Id is a heat source Id, and the heat source is the root node of the constructed dendritic pipe network.

3. If the queue is not empty, i.e. the heat source is not empty, performing Breadth First Search (BFS) on the queue (deque) to construct a pipe network, wherein the construction flow is as described in Table 4: starting from the root Node, traversing the pipe section list to sequentially construct nodes and edges of the pipe network until the whole heat supply pipe network is constructed; the upEdgeToNodeMap records an edge Id-lower Node mapping table, and repetition is avoided when a plurality of lower edges are used for building lower nodes; the downEdgeToNodeMap records an edge Id-upper Node mapping table, and repetition is avoided when a plurality of upper edges build lower nodes.

4. After the pipe network is constructed, the type of each pipe section is determined, and the theoretical economic specific friction of each pipe section is 30-70Pa/m as described in table 5. According to standard pipe section pipe diameter information, pipe section specific friction is selected to be within the range of 30-70Pa/m, pipe diameter, flow velocity and pipe section pressure drop values are determined simultaneously, pipe section selection of a pipe network is completed, and cost is reduced from a pipe network design level.

5. Finally, a heating pipe network (pipenetwork) is generated, wherein the heating pipe network comprises a heat source root node, and each pipe section of the pipe network is selected, flow velocity values and reasonable pressure drop values. For example, to receive relevant files of the heating network, visual rendering of the heating system and further theoretical analysis are performed based on the files.

The main flow of the above data processing method can be implemented with reference to the codes shown in table 3.

TABLE 3 Table 3

Wherein, the construction of the pipe network can refer to codes shown in table 4.

TABLE 4 Table 4

The implementation of pipe section selection can refer to codes shown in table 5.

TABLE 5

The lookup manner of the Node (Node) is shown in table 6.

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TABLE 6

The search method of the Edge (Edge) is shown in table 7.

TABLE 7

The search mode of the Pipe section (Pipe) is shown in table 8.

TABLE 8

Wherein partial noun terms are as shown in table 9.

TABLE 9

The parameter explanations involved in the construction of the pipe network algorithm are shown in table 10.

Table 10

Next, each calculation formula related to the present disclosure is described.

Pipe section heat load means pipe section and its downstream heat exchange station heat supply area and the heat obtained.

The calculation formula of the pipe section heat load is as follows:

wherein s represents a heating area (in m ² ) Qn represents a heat consumption index, and q represents a heat load.

The calculation formula of the pipe section flow is as follows:

g＝q/1.16/t (2)

where q represents the thermal load (in pa/m), t represents the design temperature difference, and g represents the flow rate.

The actual flow rate is calculated by the following formula:

v＝4*g/(π*d^2) (3)

where g represents the flow rate, d represents the pipe section inner diameter, and v represents the actual flow rate.

The calculation formula of the specific friction is as follows:

r＝0.0625*λ*g^2/ρ/d^5 (4)

wherein ρ is the density of water; d is the inner diameter of the pipeline; λ=0.11×power ((K/(F-2*d)), 0.25), λ is a friction resistance coefficient, and when the pipe diameter D is not less than 40mm, λ is calculated by using a xifole Lin Song formula; k represents the equivalent absolute roughness of the pipe wall; taking K=0.5mm for an outdoor hot water network; g represents the flow rate.

The first calculation formula of the pipe section pressure drop is:

p＝L`*r (5)

where r represents the specific friction (in Pa/m), L' represents the converted length of the pipe section (in m), and p represents the pressure drop of the pipe section (in Pa).

The second calculation formula for the pressure drop of the pipe section is:

p＝L`*r/10000 (6)

where r represents the specific friction (in pa/m), L' represents the converted length of the pipe section (in m), and p represents the pressure drop of the pipe section (in mH 2O).

The embodiments of the present disclosure provide a data processing method, which may be applied to an electronic device, including but not limited to a fixed device and/or a mobile device, for example, a fixed device including but not limited to a server, which may be a cloud server or a general server. For example, mobile devices include, but are not limited to: one or more terminals in a mobile phone or tablet computer. As shown in fig. 5, the data processing method includes:

S501: carrying out hydraulic analysis on a heating pipe network corresponding to the pipe network diagram to obtain a hydraulic analysis result;

s502: and determining second candidate configuration data of the heating network based on the hydraulic analysis result.

The pipe network diagram in S501 is preferably a dendritic pipe network diagram. The dendritic pipe network diagram can be the pipe network diagram shown in fig. 4, or can be a common dendritic pipe network diagram. The heat supply pipe network may be a pipe network corresponding to a dendritic pipe network diagram constructed based on the data processing method shown in fig. 3, or may be a common heat supply pipe network.

Wherein the hydraulic analysis comprises at least one of: the flow rate of each pipe section of the heat supply pipe network; pressure drop of each pipe section of the heating pipe network.

Wherein the second candidate configuration data comprises at least one of:

the most unfavorable loop in the heat supply network;

a pipe section water pressure diagram of a heat supply pipe network;

selecting the pump lift of the circulating water pump;

pipe section type selection information of all pipe sections of the heating pipe network.

In some embodiments, determining second candidate configuration data for the heating network based on the hydraulic analysis results includes:

and calculating and determining the economic selection type of each pipe section according to the parameters such as the design flow, the heating area, the economic specific friction range and the like of each pipe section of the heating pipe network. The economic ratio friction range and the economy in the economic choice can be understood as the cost performance.

and calculating the pressure drop and the pressure loss of each pipe section according to the calculated flow and the pipe diameter of each pipe section of the heat supply pipe network.

and determining the type selection of the circulating water pumps of the primary network and the secondary network through the calculation of the pressure drop and the pressure loss of each pipe section of the heat supply pipe network.

and calculating the passing capacity of the pipeline through calculating the attribute value of each pipe section in the constructed heat supply pipe network.

Therefore, hydraulic analysis can be performed based on the construction of the pipe network, and effective reference is provided for the supply pipe network optimization adjustment of the heating system.

and determining the type selection information of the lift of the circulating water pump of the heat supply pipe network based on the hydraulic analysis result.

Here, the second candidate configuration data includes: and the maximum lift type selection information of the circulating water pump.

For example, the first station water supply pressure is 158.17mH2O obtained from a water pressure meter, and the maximum lift of the circulating water pump is more than or equal to 159m according to the maximum lift selection principle of the circulating water pump.

Thus, by selecting an economical water pump option for the circulating water pump, the flow cost can be reduced.

In some embodiments, hydraulic analysis is performed on a heating pipe network corresponding to the pipe network diagram to obtain a hydraulic analysis result, including at least one of the following:

carrying out hydraulic analysis on the heating pipe network to obtain the most unfavorable loop information of the heating pipe network;

and carrying out hydraulic analysis on the heating pipe network to obtain a pipe section hydraulic map of the heating pipe network.

Therefore, the abnormal rapid processing in the operation of the heating pipe network is solved, and the processing and the hydraulic pressure diagram analysis are convenient to carry out when the pipe section fails and needs to be adjusted in the operation of the heating pipe network.

The data processing method shown in fig. 5 can be implemented by the following hydraulic analysis algorithm. Specifically, the hydraulic analysis algorithm performs hydraulic analysis based on the constructed pipe network, and the process includes 3 main flows given in table 11: 1) Marking the most unfavorable loops; 2) Correcting the pipe network according to the most unfavorable loop; 3) Outputting the water pressure map of the least favorable loop pipe section of the pipe network and the water pressure maps of all pipe sections of the pipe network.

The marking of the most unfavorable loop and the water pressure diagram are the core functions of a hydraulic analysis algorithm, and the most unfavorable loop is usually the pipe network loop with the largest resistance along the way in the heating pipe network, namely the loop with the largest resistance loss, which is called as a word-path for short. The hydraulic analysis algorithm finds the water-path, is a magnitude obtained through calculation, and can provide economic reference for the type selection of the lift of the circulating water pump. If the circulating water pump can supply heat to the least unfavorable loop, the heat supply of the whole heat supply network can meet the requirement, so that the marked output of the word-path is an important content of hydraulic calculation and analysis.

A hydraulic analysis algorithm comprising:

1. an input heating network structure (pipenetwork);

2. marking a most disadvantageous loop (mark_word_path); the first Breadth First Search (BFS) calculates the backwater pressure ph of each pipe section of the pipe network from a source- > station and from a root node root, a heat exchange station with the largest leaf node ph is the tail end of the most unfavorable loop, the backwater loss of the tail end of the primary network is 2mH2O, and the tail end node is recorded as a word_leaf_node;

a second Breadth First Search (BFS) secondary station- > source calculates water supply pressure drop pg of each pipe section until a heat source root node root according to ph and pipe section pressure drop, marks the most unfavorable loop in the searching process, records the pg (root) of the heat source and provides a reference for the pump lift economic model selection of the circulating water pump;

the search and marking of the most unfavorable loop of the heating network are completed by two BFS traversal searches from source to station and from station to source, and the NHCA algorithm for calculating the backwater pressure ph and the water supply pressure pg combines the altitude value (altitude) of the pipe section and the pipe section burial depth (bury), so that the result value has more practical reference significance.

3. Correcting the pipe network according to the most unfavorable loop; third Breadth First Search (BFS): the source- > station is realized in a table 13, and from a root node of a heat source, the pressure drop on the most unfavorable loop is taken as a standard, and all the pressure drops of the other pipe sections of the pipe network are corrected in the traversal process of the leaf node of the heat exchange station;

4. Outputting a pipe section water pressure map; fourth breadth-first search: the source- > station, namely the table 14, realizes the pipe section water pressure diagram of the output heat supply pipe network after hydraulic calculation, analysis and correction, including the most unfavorable loop and the water pressure diagrams of all sources to the station.

The main flow code of the hydraulic analysis algorithm can refer to table 11.

TABLE 11

Wherein the most unfavorable loop code is marked with reference to table 12.

Table 12

Wherein the code of the network of pipes is modified according to the most unfavorable loop can be referred to table 13.

TABLE 13

Wherein the code of the output pipe section water pressure map is as shown in reference table 14.

TABLE 14

It will be appreciated that the codes shown in tables 11-14 above are alternative implementations, but are merely exemplary and not limiting, and that they are scalable, and that various obvious changes and/or substitutions may be made by one skilled in the art based on the examples of tables 11-14, and the resulting solutions still fall within the scope of the disclosure of the embodiments of the present disclosure.

The heat supply pipe network design algorithm and the hydraulic analysis algorithm are suitable for intelligent heat supply and intelligent energy industry scenes, are particularly suitable for heat supply scenes with complete infrastructure, and can quickly realize the transformation of the traditional project in the ground and the direction.

The heat supply pipe network design algorithm and the hydraulic analysis algorithm are applied to the urban part pipe network topological graph of the actual project, and algorithm simulation analysis is carried out. The network topology is subjected to model abstraction, and the real heat sources and heat exchange stations involved in the topology diagram are replaced by symbol letters, but the algorithm capability and the real reliability are not affected.

The abstract pipe network topology diagram is shown in fig. 6, and in fig. 6, a rectangle represents a heat source node and is denoted by numeral 1; triangles represent connection nodes and ellipses represent leaf nodes, i.e. heat exchange stations. The edges (Edge) of the network are denoted by capital letters A-Z, A1-Z1. In fig. 6, there are 1 heat source node, 16 connection nodes, 17 heat exchange stations and 33 sides.

Based on the pipe network topology shown in fig. 6, the design parameters are shown in table 15.

Network segment	Disposable net	Unit (B)
			Heat consumption index	45	Wh/m ²
Maximum design temperature difference	60	℃
			Local conversion	1.2	--
Loss of return water at the end	2	mH2O

TABLE 15

Based on the pipe network topology shown in fig. 6, the heat exchange station numbers and the heating areas are shown in table 16.

Table 16

Based on the pipe network topology shown in fig. 6, pipe section information is shown in table 17.

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TABLE 17

Based on the parameters in tables 15-17, simulation calculation of a pipe network design algorithm and a hydraulic analysis algorithm is performed on the heat supply pipe network, and a simulation result is obtained.

Wherein, the simulation result comprises: water pressure gauge information for all pipe sections.

The water pressure gauge information of all pipe sections is shown in fig. 7, DN represents a nominal diameter in mm; WDN represents the outer diameter in mm; BH represents wall thickness in mm; v represents the flow rate in m/s; r represents specific friction, and the unit is pa/m; pc represents the pressure drop of the pipe section, and the unit is mH2O; pg represents pressure supply, and the unit is mH2O; ph represents back pressure, and the unit is mH2O; pyx the pressure difference of the supplied water and the unit is mH2O.

Wherein, the simulation result also includes: the least favorable loop information. Illustratively, the most adverse loop pipe segment water pressure gauge is shown in FIG. 8 and the most adverse loop water pressure gauge is shown in FIG. 9.

Wherein, the simulation result also includes: maximum lift information of the circulating water pump.

The water supply pressure of the first station is 135.68mH2O from the water pressure meter, and then the pump lift selection of the primary network circulating water pump is shown in table 18 according to the principle of selecting the maximum pump lift of the circulating water pump.

Maximum lift of circulating water pump

>＝136m

TABLE 18

Wherein, the simulation result also includes: and the type selection information of all the pipe sections.

Through the pipe network design algorithm, a reasonable and easy-to-use heat supply pipe network can be built, the pipe network is selected for each pipe section of the pipe network, meanwhile, the pipe network has certain self-adaptive capacity, and when the pipe section breaks down, the pipe network can be quickly recombined and built to heal, so that a reliable bottom foundation is provided for the reasonable and practical heat supply pipe network design.

The method can be easily transplanted to different heating systems through a hydraulic analysis algorithm, and a convenient and effective reference can be provided for optimizing and adjusting the pipe network through the analysis mark of the least favorable loop of the pipe network.

The pipe network design algorithm and the hydraulic analysis algorithm can be jointly applied to the heating system, for example, the pipe network design algorithm and the hydraulic analysis algorithm can be integrated into the heating system in a pluggable mode, and further, an optimization scheme which is more reasonable, easier to use and lower in cost is provided for transformation and transformation of the heating system.

An embodiment of the present disclosure provides a data processing apparatus, as shown in fig. 10, which may include:

the acquisition module 1010 is configured to acquire pipe section information of a heating system, an actual heating area of a heat exchange station, a heat consumption index and a design temperature difference;

the construction module 1020 is configured to construct a pipe network diagram of the heating system based on the pipe section information, the actual heating area of the heat exchange station, the heat consumption index and the design temperature difference, where the pipe network diagram includes a heat source, the heat exchange station, and a plurality of pipe sections connecting the heat source and the heat exchange station;

a first determining module 1030 is configured to determine first candidate configuration data for the plurality of pipe segments based on the pipe network map.

In some embodiments, the building block 1020 is configured to:

Converting the actual heat supply area of the heat exchange station into a hash table;

converting the pipe section information into a pipe section list;

and traversing the pipe section list and the hash table from the root node to construct nodes and edges of the heat supply pipe network until a dendritic pipe network diagram is constructed.

In some embodiments, the first determining module 1030 is configured to:

obtaining standard pipe section information;

obtaining standard specific friction information;

based on the standard pipe section information and the standard specific friction information, first candidate configuration data of the plurality of pipe sections is determined, wherein the first candidate configuration data comprises at least one of pipe diameter value, flow rate value and pressure drop value.

In some embodiments, as shown in fig. 11, the data processing apparatus may further include:

an output module 1040 is configured to output, in a visual form, the network map and first candidate configuration data for the plurality of pipe segments.

the analysis module 1050 is configured to perform hydraulic analysis on a heating pipe network corresponding to the pipe network diagram, so as to obtain a hydraulic analysis result;

and a second determining module 1060, configured to determine second candidate configuration data of the heating network based on the hydraulic analysis result.

In some embodiments, the second determining module 1060 is specifically configured to:

In some embodiments, the analysis module is configured to perform at least one of the following operations:

It will be appreciated by those skilled in the art that the functions of each processing module in the data processing apparatus according to the embodiments of the present disclosure may be understood with reference to the foregoing description of the data processing method, and each processing module in the data processing apparatus according to the embodiments of the present disclosure may be implemented by an analog circuit that implements the functions of the embodiments of the present disclosure, or may be implemented by running software that implements the functions of the embodiments of the present disclosure on an electronic device.

The data processing device of the heating system can provide reasonable candidate configuration data for the heating system, so that the self-adaptive capacity of the heating system is improved, and the construction and maintenance cost of a heating pipe network is reduced.

It should be noted that the data processing apparatus of the present disclosure is not a model of the head of a specific user, and cannot reflect personal information of a specific user.

The embodiment of the disclosure also provides a schematic diagram of a data processing scenario of a heat supply system, as shown in fig. 12, an electronic device such as a cloud server is responsible for receiving pipe section information, an actual heat supply area of a heat exchange station, a heat consumption index and a design temperature difference of the heat supply system sent by a terminal device; based on the pipe section information, the actual heat supply area of the heat exchange station, the heat consumption index and the design temperature difference, a dendritic pipe network diagram of the heat supply system is constructed, wherein the dendritic pipe network diagram comprises a heat source, the heat exchange station and a plurality of pipe sections connected with the heat source and the heat exchange station; determining first candidate configuration data of the plurality of pipe sections based on the dendritic pipe network map; and outputting the dendritic pipe network diagram and the first candidate configuration data. Therefore, the self-adaptive heat supply pipe network can be constructed in a simple and effective mode with low cost and low investment, not only provides a bottom design foundation for the design of the heat supply pipe network, but also provides a proper pipe section selection for the heat supply pipe network, and reduces the cost from the design level.

As shown in fig. 12, the electronic device, such as the cloud server, is further responsible for receiving the related information of the heating network sent by the terminal device, including a dendritic network diagram; further carrying out hydraulic analysis on the heat supply pipe network to obtain a hydraulic analysis result; and determining second candidate configuration data of the heat supply network based on the hydraulic analysis result, and outputting the second candidate configuration data. Therefore, the least favorable loop search mark of the heat supply pipe network can be used for correcting the whole heat supply pipe network according to the least favorable loop, and effective analysis is provided for design optimization and dynamic adjustment of the heat supply pipe network; the pipe section water pressure diagram of the heating pipe network is output, and the pipe section water pressure diagram can be analyzed in a file form or integrated into a heating system for visual rendering analysis.

In the technical scheme of the disclosure, the acquisition, storage, application and the like of the related user personal information all conform to the regulations of related laws and regulations, and the public sequence is not violated.

According to embodiments of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.

Fig. 13 illustrates a schematic block diagram of an example electronic device 1300 that can be used to implement embodiments of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the disclosure described and/or claimed herein.

As shown in fig. 13, the apparatus 1300 includes a computing unit 1301 that can perform various appropriate actions and processes according to a computer program stored in a Read-Only Memory (ROM) 1302 or a computer program loaded from a storage unit 1308 into a random access Memory (Random Access Memory, RAM) 1303. In the RAM 1303, various programs and data required for the operation of the device 1300 can also be stored. The computing unit 1301, the ROM 1302, and the RAM 1303 are connected to each other through a bus 1304. An Input/Output (I/O) interface 1305 is also connected to bus 1304.

Various components in device 1300 are connected to I/O interface 1305, including: an input unit 1306 such as a keyboard, a mouse, or the like; an output unit 1307 such as various types of displays, speakers, and the like; storage unit 1308, such as a magnetic disk, optical disk, etc.; and a communication unit 1309 such as a network card, a modem, a wireless communication transceiver, or the like. The communication unit 1309 allows the device 1300 to exchange information/data with other devices through a computer network such as the internet and/or various telecommunication networks.

The computing unit 1301 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of computing unit 1301 include, but are not limited to, a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU), various dedicated artificial intelligence (Artificial Intelligence, AI) computing chips, various computing units running machine learning model algorithms, digital signal processors (Digital Signal Processor, DSP), and any suitable processors, controllers, microcontrollers, etc. The calculation unit 1301 performs the respective methods and processes described above, for example, a data processing method of a heating system. For example, in some embodiments, the data processing method of the heating system may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as storage unit 1308. In some embodiments, part or all of the computer program may be loaded and/or installed onto the device 1300 via the ROM 1302 and/or the communication unit 1309. When the computer program is loaded into the RAM 1303 and executed by the computing unit 1301, one or more steps of the data processing method of the heating system described above may be performed. Alternatively, in other embodiments, the computing unit 1301 may be configured to perform the data processing method of the heating system in any other suitable way (e.g. by means of firmware).

Various implementations of the systems and techniques described here above can be implemented in digital electronic circuitry, integrated circuitry, field programmable gate arrays (Field Programmable Gate Array, FPGAs), application specific integrated circuits (Application Specific Integrated Circuit, ASICs), application-specific standard products (ASSPs), systems On Chip (SOC), load programmable logic devices (Complex Programmable Logic Device, CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.

Program code for carrying out methods of the present disclosure may be written in any combination of one or more programming languages. These program code may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus such that the program code, when executed by the processor or controller, causes the functions/operations specified in the flowchart and/or block diagram to be implemented. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a random access Memory, a read-Only Memory, an erasable programmable read-Only Memory (EPROM), a flash Memory, an optical fiber, a portable compact disc read-Only Memory (Compact Disk Read Only Memory, CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., cathode Ray Tube (CRT) or liquid crystal display (Liquid Crystal Display, LCD) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local area network (Local Area Network, LAN), wide area network (Wide Area Network, WAN) and the internet.

The computer system may include a client and a server. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server may be a cloud server, a server of a distributed system, or a server incorporating a blockchain.

It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps recited in the present disclosure may be performed in parallel, sequentially, or in a different order, provided that the desired results of the disclosed aspects are achieved, and are not limited herein.

The above detailed description should not be taken as limiting the scope of the present disclosure. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present disclosure are intended to be included within the scope of the present disclosure.

Claims

1. A data processing method, comprising:

acquiring pipe section information of a heating system, an actual heating area of a heat exchange station, a heat consumption index and a design temperature difference; wherein the pipe section information includes: the system comprises a pipe section area, a pipe section length and connection information of the pipe section, wherein the pipe section area refers to the actual heat supply area of a heat exchange station connected with the pipe section, the pipe section length refers to the pipe section design or laying length, and the connection information of the pipe section refers to the upper section and lower section information of the current pipe section;

Constructing a pipe network diagram of the heating system based on the pipe section information, the actual heating area of the heat exchange station, the heat consumption index and the design temperature difference, wherein the pipe network diagram comprises a heat source, a heat exchange station and a plurality of pipe sections for connecting the heat source and the heat exchange station;

determining first candidate configuration data for the plurality of pipe segments based on the pipe network map;

the construction of the pipe network diagram of the heating system based on the pipe section information, the actual heating area of the heat exchange station, the heat consumption index and the design temperature difference comprises the following steps:

converting the pipe section information into a pipe section list;

taking the heat source as a root node, traversing the pipe section list and the hash table from the root node, and constructing nodes and edges of a heat supply pipe network until the pipe network diagram is constructed;

wherein the determining, based on the pipe network graph, first candidate configuration data for the plurality of pipe segments includes:

obtaining standard pipe section information;

obtaining standard specific friction information;

determining the first candidate configuration data of the plurality of pipe sections based on the standard pipe section information and the standard specific friction information, wherein the first candidate configuration data comprises at least one of pipe diameter value, flow rate value and pressure drop value.

2. The method of claim 1, further comprising:

and outputting the first candidate configuration data of the pipe network diagram and the pipe sections in a visual form.

3. The method of any of claims 1 to 2, further comprising:

carrying out hydraulic analysis on a heating pipe network corresponding to the pipe network diagram to obtain a hydraulic analysis result;

and determining second candidate configuration data of the heating network based on the hydraulic analysis result.

4. A method according to claim 3, said determining second candidate configuration data for the heating network based on the hydraulic analysis results, comprising:

and determining the lift type selection information of the circulating water pump of the heating pipe network based on the hydraulic analysis result.

5. A method according to claim 3, wherein the hydraulic analysis is performed on the heating pipe network corresponding to the pipe network diagram to obtain a hydraulic analysis result, and the method comprises at least one of the following steps:

carrying out hydraulic analysis on a heating pipe network corresponding to the pipe network diagram to obtain the most unfavorable loop information of the heating pipe network;

and carrying out hydraulic analysis on the heating pipe network to obtain a pipe section hydraulic pressure map of the heating pipe network.

6. A data processing apparatus comprising:

The acquisition module is used for acquiring pipe section information of the heating system, the actual heating area of the heat exchange station, heat consumption indexes and design temperature difference; wherein the pipe section information includes: the system comprises a pipe section area, a pipe section length and connection information of the pipe section, wherein the pipe section area refers to the actual heat supply area of a heat exchange station connected with the pipe section, the pipe section length refers to the pipe section design or laying length, and the connection information of the pipe section refers to the upper section and lower section information of the current pipe section;

the construction module is used for constructing a pipe network diagram of the heating system based on the pipe section information, the actual heating area of the heat exchange station, the heat consumption index and the design temperature difference, wherein the pipe network diagram comprises a heat source, a heat exchange station and a plurality of pipe sections for connecting the heat source and the heat exchange station;

a first determining module configured to determine first candidate configuration data of the plurality of pipe segments based on the pipe network map;

wherein, the construction module is used for:

converting the pipe section information into a pipe section list;

Wherein, the first determining module is used for:

obtaining standard pipe section information;

obtaining standard specific friction information;

7. The apparatus of claim 6, further comprising:

and the output module is used for outputting the pipe network diagram and the first candidate configuration data of the pipe sections in a visual mode.

8. The apparatus of any of claims 6 to 7, further comprising:

the analysis module is used for carrying out hydraulic analysis on the heat supply pipe network corresponding to the pipe network diagram to obtain a hydraulic analysis result;

and the second determining module is used for determining second candidate configuration data of the heating network based on the hydraulic analysis result.

9. The apparatus of claim 8, the second determination module to:

10. The apparatus of claim 8, wherein the analysis module is to perform at least one of:

Carrying out hydraulic analysis on the heating pipe network to obtain the least adverse loop information of the heating pipe network;

11. An electronic device, comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-5.

12. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-5.