CN-121981417-A - Energy-saving effect evaluation analysis method, system, equipment and medium for heat supply pipe network

CN121981417ACN 121981417 ACN121981417 ACN 121981417ACN-121981417-A

Abstract

The invention discloses an energy-saving effect evaluation analysis method, a system, equipment and a medium for a heat supply pipe network, wherein the method comprises the steps of calculating the measuring point coverage rate of each heating station and the distribution characteristic of the measuring point coverage rate in the heat supply pipe network according to temperature measuring point distribution data, and determining evaluation stations based on the measuring point coverage rate and the distribution characteristic; determining the heat supply quality state of each heat user according to whether the indoor temperature monitoring data are in a preset qualified temperature interval, determining an evaluation period meeting the evaluation requirement by adopting a grading judgment strategy, judging the data reliability grade according to the duration of the evaluation period, counting the heat user duty ratio of the indoor temperature value lower than a target temperature threshold, and generating and executing a load dispatching instruction when the heat user duty ratio exceeds a preset proportion. The invention solves the problems that in the existing heat supply network energy-saving evaluation, the heat supply quality judgment is not fit with the actual heat use condition, the evaluation period adaptability is poor, and the energy-saving regulation and control are difficult to balance the heat supply quality and the energy conservation due to single temperature threshold setting.

Inventors

YE WEIDONG
BAI YE
MA DESHENG
PENG SHUO
XU YAJIE
Luan Ximing
ZHANG YANG

Assignees

呼伦贝尔安泰热电有限责任公司满洲里热电厂

Dates

Publication Date: 20260505
Application Date: 20251127

Claims (10)

1. An energy-saving effect evaluation analysis method for a heating pipe network is characterized by comprising the following steps: acquiring temperature measuring point distribution data of a heat supply pipe network, calculating measuring point coverage rate of each heating power station and distribution characteristics of the measuring point coverage rate in the heat supply pipe network according to the temperature measuring point distribution data, and determining an evaluation station based on the measuring point coverage rate and the distribution characteristics; collecting indoor temperature monitoring data of heat users served by the evaluation site, and determining the heat supply quality state of each heat user according to whether the indoor temperature monitoring data is in a preset qualified temperature interval; Determining an evaluation period meeting the evaluation requirement by adopting a grading judgment strategy based on the distribution condition of the heat supply quality state, judging a data reliability grade according to the duration of the evaluation period, and selecting a corresponding temperature threshold determining mode based on the data reliability grade to obtain a target temperature threshold; and monitoring indoor temperature values of all heat users in a heat supply pipe network in real time, counting the heat user proportion of the indoor temperature values lower than the target temperature threshold, and generating and executing a load scheduling instruction when the heat user proportion exceeds a preset proportion.
2. The energy saving effect evaluation analysis method for a heating network according to claim 1, wherein the step of determining an evaluation site based on the station coverage and the distribution characteristics comprises: Screening heat stations with the measuring point coverage rate larger than a first preset threshold according to the measuring point coverage rate, taking the screened heat stations as candidate stations, calculating the quantity ratio of the candidate stations in a heat supply pipe network, and calculating the measuring point coverage rate average value of each candidate station; and when the quantity ratio and the average value of the coverage rates of the measuring points are both larger than a second preset threshold value, all candidate stations are determined to be evaluation stations.
3. The energy saving effect evaluation analysis method for a heating network according to claim 2, wherein the step of determining the heating quality status of each heat user according to whether the indoor temperature monitoring data is within a preset qualified temperature interval comprises: Identifying a time period continuously in the qualified temperature interval in indoor temperature monitoring data of each heat user, and marking the time period as a qualified time period; And counting the qualified time period duty ratio of each heat user in a preset time range, calculating the average value of the qualified time period duty ratio in the preset time range as a qualified matching factor, and determining the heat supply quality state of each heat user according to the value range of the qualified matching factor.
4. A method for energy saving effect evaluation analysis of a heating network according to claim 3, wherein the step of determining an evaluation period satisfying an evaluation requirement using a hierarchical decision strategy based on the distribution of the heating quality states comprises: counting the quantity of heat users with qualified matching factors larger than a preset matching threshold value in each evaluation site, marking the evaluation site as a reference site when the quantity of heat users is equal to the total quantity of heat users of the evaluation sites, and calculating the quantity proportion of the reference site in all the evaluation sites; when the quantity duty ratio is larger than a preset duty ratio threshold, taking the quantity of heat users of the non-reference station in the qualified time period at each moment as a determination condition of the evaluation time period, wherein the quantity of heat users meets a preset first quantity condition; When the quantity duty ratio is smaller than or equal to a preset duty ratio threshold, a second quantity condition which needs to be met by each evaluation site is determined according to the heat supply data of each evaluation site and the quantity duty ratio by adopting a dynamic adjustment strategy, and the second quantity condition is used as a determination condition of an evaluation period.
5. The energy saving effect evaluation analysis method for a heating network according to claim 4, wherein the step of determining a second number of conditions to be satisfied by each evaluation site using a dynamic adjustment strategy according to the heating amount data of each evaluation site and the number ratio comprises: Calculating the heat supply quantity duty ratio of each evaluation site, and taking a preset fixed quantity condition as the second quantity condition when the heat supply quantity duty ratio is smaller than a preset heat supply quantity threshold value; When the heat supply amount duty ratio is larger than or equal to a preset heat supply amount threshold value, subtracting the product of the number duty ratio and a preset adjustment coefficient from a preset reference value, taking the obtained result as a dynamic number threshold value, and taking the dynamic number threshold value as the second number condition.
6. The energy saving effect evaluation analysis method for a heating network according to claim 5, wherein the step of selecting a corresponding temperature threshold determination means based on the data reliability level to obtain a target temperature threshold comprises: Comparing the time length of the evaluation period with a preset time length threshold, and determining that the data reliability grade is low reliability grade when the time length of the evaluation period is smaller than the preset time length threshold, otherwise, determining that the data reliability grade is high reliability grade; when the data reliability level is a low reliability level, selecting a preset fixed temperature value as a target temperature threshold; When the data reliability level is high, invoking a pre-trained temperature threshold prediction model, inputting the type identification of the evaluation site and the duration of the evaluation period into the temperature threshold prediction model, and acquiring a predicted temperature value output by the temperature threshold prediction model as a target temperature threshold.
7. The energy saving effect evaluation analysis method for a heating network according to claim 6, wherein the step of inputting the type identification of the evaluation site and the time length of the evaluation period to a temperature threshold prediction model, and obtaining the predicted temperature value output by the temperature threshold prediction model as a target temperature threshold value comprises: The type identification of the evaluation site is coded and converted into a type feature vector, and the type feature vector is input into a type feature extraction layer of a temperature threshold prediction model to extract static features; Converting the time length of the evaluation period into a time length feature vector, and inputting the time length feature vector into a time length feature extraction layer of a temperature threshold prediction model to extract dynamic features; performing feature fusion on the static features and the dynamic features to obtain fusion features, and inputting the fusion features to a decoding layer of a temperature threshold prediction model for nonlinear mapping to obtain a temperature prediction value; And carrying out numerical range mapping on the temperature predicted value, and outputting the mapped numerical value as a predicted temperature value.
8. An energy saving effect evaluation analysis system for a heating network, applying the method according to any one of claims 1 to 7, comprising: the evaluation station determining module is used for calculating the distribution characteristics of the measuring point coverage rate and the measuring point coverage rate according to the temperature measuring point distribution data and determining an evaluation station based on the measuring point coverage rate and the distribution characteristics; The heat supply quality analysis module is used for collecting indoor temperature monitoring data of the evaluation station and determining the heat supply quality state of each heat user; The evaluation period determining module is used for determining an evaluation period meeting the evaluation requirement by adopting a grading judgment strategy based on the distribution condition of the heat supply quality state; The temperature threshold determining module is used for judging the data reliability grade according to the time length of the evaluation period and selecting a corresponding temperature threshold determining mode to obtain a target temperature threshold based on the data reliability grade; and the load scheduling module is used for monitoring the indoor temperature value in real time, counting the heat user duty ratio lower than the target temperature threshold value, and generating and executing a load scheduling instruction when the heat user duty ratio exceeds a preset proportion.
9. An electronic device, comprising: A memory and a processor; the memory is configured to store computer executable instructions, and the processor is configured to execute the computer executable instructions, which when executed by the processor, implement the steps of the energy saving effect evaluation analysis method for a heating network according to any one of claims 1 to 7.
10. A computer-readable storage medium storing computer-executable instructions which, when executed by a processor, implement the steps of the energy saving effect evaluation analysis method for a heating network of any one of claims 1 to 7.

Description

Energy-saving effect evaluation analysis method, system, equipment and medium for heat supply pipe network Technical Field The invention relates to the technical field of energy-saving evaluation of heating pipe networks, in particular to an energy-saving effect evaluation analysis method, system, equipment and medium for a heating pipe network. Background With the acceleration of the urban process and the continuous increase of the heat supply demands of residents, a heat supply pipe network is used as a core infrastructure for urban energy supply, and the operation efficiency and the energy saving level are directly related to the energy utilization efficiency and the resident heat experience. Meanwhile, the judgment of heat supply quality often depends on indoor temperature data at a single moment, the continuous stability of temperature is ignored, the actual heat utilization condition of a heat user cannot be truly reflected, the determination of an evaluation period lacks a scientific grading judgment strategy, the type of the evaluation station, the heat supply quantity and other factors cannot be combined for dynamic adjustment, and the different scene requirements are difficult to adapt, in addition, the setting mode of a temperature threshold is single, the differentiated selection cannot be carried out according to the reliability grade of the evaluation data, and finally the energy conservation regulation is difficult to realize high efficiency and energy conservation on the premise of guaranteeing the heat supply quality. Disclosure of Invention The present invention has been made in view of the above-described problems occurring in the prior art. Therefore, the invention provides an energy-saving effect evaluation analysis method, system, equipment and medium for a heating pipe network, which solve the problems that in the existing heating pipe network energy-saving evaluation, evaluation stations are lack of scientific basis, heating quality judgment is not fit with actual heating conditions, evaluation period suitability is poor, and energy-saving regulation and control are difficult to balance heating quality and energy saving due to single temperature threshold setting. In order to solve the technical problems, the invention provides the following technical scheme: The invention provides an energy-saving effect evaluation analysis method for a heat supply pipe network, which comprises the steps of obtaining temperature measuring point distribution data of the heat supply pipe network, calculating measuring point coverage rate of each heating station and distribution characteristics of the measuring point coverage rate in the heat supply pipe network according to the temperature measuring point distribution data, determining an evaluation site based on the measuring point coverage rate and the distribution characteristics, collecting indoor temperature monitoring data of heat users served by the evaluation site, determining a heat supply quality state of each heat user according to whether the indoor temperature monitoring data are in a preset qualified temperature interval or not, determining an evaluation period meeting evaluation requirements by adopting a grading judgment strategy based on the distribution condition of the heat supply quality state, judging a data reliability grade according to the duration of the evaluation period, selecting a corresponding temperature threshold determination mode based on the data reliability grade, monitoring indoor temperature values of each heat user in the heat supply pipe network in real time, counting the indoor temperature values lower than the target temperature threshold, and generating and executing a load dispatching instruction when the indoor temperature values exceed the preset proportion. The method for evaluating and analyzing the energy saving effect of the heat supply pipe network comprises the steps of screening heat stations with the measuring point coverage rate larger than a first preset threshold according to the measuring point coverage rate and the distribution characteristics, taking the screened heat stations as candidate stations, calculating the number occupation ratio of the candidate stations in the heat supply pipe network, calculating the measuring point coverage rate average value of each candidate station, and determining all the candidate stations as evaluation stations when the number occupation ratio and the measuring point coverage rate average value are larger than a second preset threshold. The heat station is screened as a candidate station according to the condition that the coverage rate of the measurement point is larger than a first preset threshold, the station range that the coverage rate of the measurement point meets the basic requirement is defined, the overall distribution scale of the candidate station is mastered by calculating the number ratio of the candidate station in a heat supply network, mea