CN117745025A - Safety monitoring method and device for intelligent heat supply management system - Google Patents

Abstract

The invention provides a safety monitoring method and device of an intelligent heat supply management system, and relates to the technical field of intelligent heat supply. According to the method, short-time prediction is carried out by monitoring the real-time indoor temperature and the real-time weather condition of each building in the heat supply range of the target heat source station in real time, and the weather condition of a prediction period is determined. And determining the actual heat demand of each building in the predicted period by combining the real-time indoor temperature and weather conditions, then carrying out summation calculation to obtain the target heat supply amount of the target heat source station in the current period, and adjusting the planned heat supply scheme. According to the invention, the actual heat demand of each building is predicted in real time, so that the heat supply of the heat source station is accurately estimated, the influence of excessive or insufficient heat supply of the heat source station on a heat supply system pipe network is avoided, and the operation safety of a heat supply management system is improved.

Description

Safety monitoring method and device for intelligent heat supply management system

Technical Field

The invention relates to the technical field of intelligent heat supply, in particular to a safety monitoring method and device of an intelligent heat supply management system.

Background

Along with the continuous promotion of the urban process of China, the scale of central heating in China is continuously enlarged. The energy Internet and the rapid development of information technology promote the heat supply industry to upgrade by using advanced information technology, and promote the heat supply informatization level, so that the business functions of production, management and service of a heat supply enterprise meet the application requirements of the Internet information age, and the heat supply Internet is a new development direction of the heat supply industry, and has a huge application promotion space especially in the aspects of enterprise management and customer service informatization.

For heat supply enterprises, on one hand, a thermal production network is directly connected with and controls the production operation of each basic-level thermal station, and on the other hand, the related business of heat supply management needs to carry out mode innovation by means of the external internet. The intelligent heat supply management is related to the life of people, and the heat supply safety is particularly important. The existing intelligent heat supply management system generally adopts circulating water as a medium to convey heat from a heat source station to each heat exchange station, and then conveys the heat from each heat exchange station to each building to supply heat for each user.

However, due to various building types, various user demands, untimely information data acquisition and other reasons in the heating system, the problem that the heat produced by the primary side heat source station is too much or too little often occurs, so that the temperature of the user side of the heating system is difficult to control, the safety of the heating pipelines of the primary side and the secondary side can be influenced, and the safety of the heating management system is reduced.

Disclosure of Invention

The invention provides a safety monitoring method and device for an intelligent heat supply management system, which can accurately estimate the heat supply amount of a heat source station, avoid the excessive or insufficient heat supply amount of the heat source station and improve the operation safety of the heat supply management system.

In a first aspect, the present invention provides a safety monitoring method for an intelligent heat supply management system, the method comprising: monitoring real-time indoor temperature of each building in a heat supply range of a target heat source station and real-time weather conditions in the heat supply range; weather conditions include outdoor temperature and light intensity; based on real-time weather conditions in a heat supply range, short-time prediction is carried out, and weather conditions in a prediction period are determined; the predicted period is determined by the heat supply hysteresis of the target heat source station; determining the actual heat demand of each building in the prediction period based on the weather conditions of the prediction period and the real-time indoor temperature of each building; determining the target heat supply quantity of the target heat source station in the current period based on the actual heat demand of each building in the predicted period; and adjusting a planned heating scheme of the target heat source station based on the target heating amount of the target heat source station in the current period, so as to realize the safety detection of the intelligent heating management system.

In one possible implementation manner, monitoring real-time indoor temperature of each building in the heat supply range of the target heat source station and real-time weather conditions in the heat supply range, and acquiring weather conditions in each period of a prediction period in the heat supply range of the target heat source station; the prediction period is any period of the prediction periods; determining the heat demand of each building in each period in the heat supply range based on the weather conditions of each period in the prediction period and the building heat characteristics of each building; determining the heat demand of each heat exchange station in each period based on the heat demand of each building in each period in the heat supply range; determining a planned heating scheme of the target heat source station based on the heat demand of each heat exchange station in each period and the thermal hysteresis coefficient between the target heat source station and each heat exchange station; the planned heating scheme includes the heating capacity of each period, and the thermal hysteresis coefficient is used to represent the time period for the heating capacity of the target heat source station to reach the heat exchange station.

In one possible implementation, determining the heat demand of each heat exchange station at each time period based on the heat demand of each building at each time period within the heating range includes: determining the heat demand of each heat supply branch in each heat exchange station in each time period based on the heat demand of each building in each time period in the heat supply range; and determining the heat demand of each heat exchange station in each period based on the heat demand of each heat supply branch in each heat exchange station in each period.

In one possible implementation, determining a heat demand of each building in a heating range for each time period based on weather conditions of each time period of a predicted time period and building thermal characteristics of each building includes: determining a heat demand prediction model corresponding to each building based on the building thermal characteristics of each building; and determining the heat demand of each building in each period based on the weather conditions of each period in the prediction period and the heat demand prediction model corresponding to each building.

In one possible implementation, determining a planned heating schedule for the target heat source station based on the heat demand of each heat exchange station for each period of time and a thermal hysteresis coefficient between the target heat source station and each heat exchange station includes: for any heat exchange station, determining the heat supply of the target heat source station in each period for the heat exchange station based on the heat demand of the heat exchange station in each period and the thermal hysteresis coefficient between the target heat source station and the heat exchange station; and calculating the heat supply quantity of each time period of the target heat source station based on the heat supply quantity of each time period of the target heat source station for each heat exchange station.

In one possible implementation, determining an actual heat demand of each building during a predicted time period based on weather conditions of the predicted time period and a real-time indoor temperature of each building includes: determining a heat demand prediction model corresponding to each building based on the building thermal characteristics of each building; determining the calculated heat demand of each building in the prediction period based on the weather conditions of the prediction period and the heat demand prediction model corresponding to each building; determining heat deviation of each building based on real-time indoor temperature of each building and a preset heat supply standard temperature interval, wherein the heat deviation is used for representing correction quantity of heat required when heat supply conditions of each building are supercooling or overheat; and determining the actual heat demand of each building in the prediction period based on the calculated heat demand of each building in the prediction period and the heat deviation of each building.

In one possible implementation, determining the target heat supply amount of the target heat source station in the current period based on the actual heat demand of each building in the predicted period includes: and determining the actual heat demand of each building in the prediction period as the target heat supply quantity of the target heat source station in the current period.

In one possible implementation, the planned heating scheme includes a planned heating amount for the current period of time; based on the target heat supply amount of the target heat source station in the current period, the planned heat supply scheme of the target heat source station is adjusted to realize the safety detection of the intelligent heat supply management system, and the intelligent heat supply management system comprises the following components: calculating a first heat supply amount difference between the target heat supply amount and the planned heat supply amount in the current period; if the first heat supply quantity difference value is smaller than the first setting difference value, keeping the planned heat supply scheme unchanged; if the first heat supply quantity difference value is larger than or equal to the first set difference value, calculating a second heat supply quantity difference value between the target heat supply quantity in the current period and the actual heat supply quantity in the period which is the last to the current period; if the second heat supply quantity difference value is smaller than the second set difference value, controlling the target heat source station to supply heat according to the target heat supply quantity; if the second heat supply quantity difference value is larger than or equal to the second set difference value, controlling the target heat source station to supply heat according to the first heat supply quantity; the first heat supply amount is the sum of the actual heat supply amount in the previous period and the second set difference value.

In a second aspect, an embodiment of the present invention provides a safety monitoring device for an intelligent heating management system, the device including: the communication module is used for monitoring the real-time indoor temperature of each building in the heat supply range of the target heat source station and the real-time weather condition in the heat supply range; weather conditions include outdoor temperature and light intensity; the heat calculation module is used for carrying out short-time prediction based on real-time weather conditions in a heat supply range and determining weather conditions in a prediction period; the predicted period is determined by the heat supply hysteresis of the target heat source station; determining the heat demand of each building in the prediction period based on the weather conditions of the prediction period and the real-time indoor temperature of each building; determining the target heat supply quantity of the target heat source station in the current period based on the heat demand of each building in the predicted period; and the heat adjustment module is used for adjusting the planned heat supply scheme of the target heat source station based on the target heat supply amount of the target heat source station in the current period, so as to realize the safety detection of the intelligent heat supply management system.

In one possible implementation manner, the communication module is further configured to obtain weather conditions of each period of the prediction period within the heat supply range of the target heat source station; the prediction period is any period of the prediction periods; the heat calculation module is also used for determining the heat required by each building in each period in the heat supply range based on the weather conditions of each period in the prediction period and the building heat characteristics of each building; determining the heat demand of each heat exchange station in each period based on the heat demand of each building in each period in the heat supply range; determining a planned heating scheme of the target heat source station based on the heat demand of each heat exchange station in each period and the thermal hysteresis coefficient between the target heat source station and each heat exchange station; the planned heating scheme includes the heating capacity of each period, and the thermal hysteresis coefficient is used to represent the time period for the heating capacity of the target heat source station to reach the heat exchange station.

In one possible implementation manner, the heat calculation module is specifically configured to determine the heat requirement of each heat supply branch in each heat exchange station in each period based on the heat requirement of each building in each period in the heat supply range; and determining the heat demand of each heat exchange station in each period based on the heat demand of each heat supply branch in each heat exchange station in each period.

In one possible implementation manner, the heat calculation module is specifically configured to determine a heat demand prediction model corresponding to each building based on building thermal characteristics of each building; and determining the heat demand of each building in each period based on the weather conditions of each period in the prediction period and the heat demand prediction model corresponding to each building.

In one possible implementation manner, the heat calculating module is specifically configured to determine, for any heat exchange station, a heat supply amount of the target heat source station in each period for the heat exchange station based on a heat demand of the heat exchange station in each period and a thermal hysteresis coefficient between the target heat source station and the heat exchange station; and calculating the heat supply quantity of each time period of the target heat source station based on the heat supply quantity of each time period of the target heat source station for each heat exchange station.

In one possible implementation manner, the heat calculation module is specifically configured to determine a heat demand prediction model corresponding to each building based on building thermal characteristics of each building; determining the calculated heat demand of each building in the prediction period based on the weather conditions of the prediction period and the heat demand prediction model corresponding to each building; determining heat deviation of each building based on real-time indoor temperature of each building and a preset heat supply standard temperature interval, wherein the heat deviation is used for representing correction quantity of heat required when heat supply conditions of each building are supercooling or overheat; and determining the actual heat demand of each building in the prediction period based on the calculated heat demand of each building in the prediction period and the heat deviation of each building.

In one possible implementation, the heat calculation module is specifically configured to determine an actual heat required by each building in the predicted period as a target heat supply amount of the target heat source station in the current period.

In one possible implementation, the planned heating scheme includes a planned heating amount for the current period of time; the heat adjustment module is specifically used for calculating a first heat supply difference value between the target heat supply amount and the planned heat supply amount in the current period; if the first heat supply quantity difference value is smaller than the first setting difference value, keeping the planned heat supply scheme unchanged; if the first heat supply quantity difference value is larger than or equal to the first set difference value, calculating a second heat supply quantity difference value between the target heat supply quantity in the current period and the actual heat supply quantity in the period which is the last to the current period; if the second heat supply quantity difference value is smaller than the second set difference value, controlling the target heat source station to supply heat according to the target heat supply quantity; if the second heat supply quantity difference value is larger than or equal to the second set difference value, controlling the target heat source station to supply heat according to the first heat supply quantity; the first heat supply amount is the sum of the actual heat supply amount in the previous period and the second set difference value.

In a third aspect, an embodiment of the present invention provides an electronic device, the electronic device comprising a memory storing a computer program and a processor for executing the steps of the method according to any one of the above-mentioned first aspect and any possible implementation manner of the first aspect, when the computer program stored in the memory is invoked and run.

In a fourth aspect, embodiments of the present invention provide a computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the steps of the method according to the first aspect and any one of the possible implementations of the first aspect.

The invention provides a safety monitoring method and device of an intelligent heat supply management system. And determining the actual heat demand of each building in the predicted period by combining the real-time indoor temperature and weather conditions, then carrying out summation calculation to obtain the target heat supply amount of the target heat source station in the current period, and adjusting the planned heat supply scheme. According to the invention, the actual heat demand of each building is predicted in real time, so that the heat supply of the heat source station is accurately estimated, the influence of excessive or insufficient heat supply of the heat source station on a heat supply system pipe network is avoided, and the operation safety of a heat supply management system is improved.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a flow chart of a safety monitoring method of an intelligent heat supply management system according to an embodiment of the invention;

fig. 2 is a schematic structural diagram of a safety monitoring device of an intelligent heat supply management system according to an embodiment of the invention.

Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.

Detailed Description

In the following description, for purposes of explanation and not limitation, specific details are set forth such as the particular system architecture, techniques, etc., in order to provide a thorough understanding of the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

In the description of the present invention, "/" means "or" unless otherwise indicated, for example, A/B may mean A or B. "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. Further, "at least one", "a plurality" means two or more. The terms "first," "second," and the like do not limit the number and order of execution, and the terms "first," "second," and the like do not necessarily differ.

In the embodiments of the present application, words such as "exemplary" or "such as" are used to mean serving as examples, illustrations, or descriptions. Any embodiment or design described herein as "exemplary" or "for example" should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion that may be readily understood.

Furthermore, references to the terms "comprising" and "having" and any variations thereof in the description of the present application are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or modules is not limited to only those steps or modules but may, alternatively, include other steps or modules not listed or inherent to such process, method, article, or apparatus.

For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the following description will be made with reference to the accompanying drawings of the present invention by way of specific embodiments.

As described in the background art, the current intelligent heat supply management system has the technical problems that the heat supply quantity of the heat source station is difficult to estimate, the pipeline safety of the heat supply system is affected, and the safety of the heat supply system is reduced.

In order to solve the above technical problems, as shown in fig. 1, an embodiment of the present invention provides a safety monitoring method for an intelligent heat supply management system. The method comprises steps S101-S105.

S101, monitoring real-time indoor temperature of each building in a heat supply range of a target heat source station, and real-time weather conditions in the heat supply range.

In the embodiment of the application, the weather condition comprises outdoor temperature and illumination intensity.

In some embodiments, the real-time indoor temperature of a building may be an average of the real-time indoor temperatures of a plurality of users of the building, or may also be an average of the real-time indoor temperatures of a plurality of typical users in the building. Wherein a typical user may be a plurality of users in the high, middle and low floors of a building, or a typical user may also be a plurality of users in the male and female users of a building.

S102, carrying out short-time prediction based on real-time weather conditions in a heat supply range, and determining weather conditions in a prediction period.

In some embodiments, the predicted period is determined by a heat supply hysteresis of the target heat source station.

In some embodiments, the prediction period may be any period within the prediction period. According to the embodiment of the invention, the planned heating scheme of the target heat source station can be constructed based on the predicted weather condition of the prediction period, and then the weather condition is acquired in real time, and the planned scheme is adjusted, so that the safety detection of the intelligent heating management system is realized.

It should be noted that, since the heat supply amount of the target heat source station needs a long time when reaching the heat exchange stations and the users of the buildings, the heat supply hysteresis represents the length of time required for the heat supply amount of the target heat source station to reach the heat exchange stations and the users of the buildings. The heat supply hysteresis is influenced by the distance between the target heat source station and the heat exchange station and the user, the pipe diameter of the heating pipeline between the target heat source station and the heat exchange station and the user, and the heat supply strategy of the heat exchange station and the user.

Therefore, the heat supply hysteresis of different heat exchange stations and users is different, and the embodiment of the invention can comprehensively determine a time length based on the heat supply hysteresis of each heat exchange station and the user to represent the heat supply hysteresis. The embodiment of the invention can determine the time period of the time length after the current moment as the prediction time period.

For example, the embodiment of the invention can determine the time length corresponding to each heat exchange station based on the heat supply hysteresis of each heat exchange station and the user, and determine the average value of the time lengths corresponding to each heat exchange station as the time length between the prediction period and the current time.

S103, determining the actual heat demand of each building in the prediction period based on the weather conditions of the prediction period and the real-time indoor temperature of each building.

As a possible implementation manner, the embodiment of the present invention may determine the heat required by each building in each period of time within the heating range based on steps S1031-S1032.

S1031, determining a heat demand prediction model corresponding to each building based on the building thermal characteristics of each building.

By way of example, the embodiment of the invention can construct a training sample according to the weather condition and the building thermal characteristics of each building as the input of the training sample and the heat demand of each building as the output of the training sample, and perform neural network training based on the training sample to obtain the heat demand prediction model corresponding to each building.

S1032, determining the calculated heat demand of each building in the prediction period based on the weather conditions of the prediction period and the heat demand prediction model corresponding to each building.

For any building, the embodiment of the invention can input the weather condition and the thermal property of the building in the prediction period into a heat demand prediction model to obtain the calculated heat demand in the prediction period.

S1033, determining heat deviation of each building based on the real-time indoor temperature of each building and a preset heat supply standard temperature interval.

In some embodiments, the heat bias is used to characterize the amount of correction that is needed when the heating condition of each building is subcooling or superheat.

For example, the embodiment of the invention can calculate a first difference value between the real-time indoor temperature and the outdoor temperature and a second difference value between the first standard temperature and the outdoor temperature, then calculate a ratio of the difference between the first difference value and the second difference value to the second difference value, and take the product of the ratio and the calculated heat demand as the heat deviation.

S1034, determining the actual heat demand of each building in the prediction period based on the calculated heat demand of each building in the prediction period and the heat deviation of each building.

For example, for any building, embodiments of the present invention may determine the difference between the calculated heat demand and the heat deviation for that building as the actual heat demand for that building.

As a possible implementation manner, the embodiment of the invention can determine the sum of the actual heat required by each building in the prediction period as the target heat supply amount of the target heat source station in the current period.

S104, determining the target heat supply quantity of the target heat source station in the current period based on the actual heat demand of each building in the predicted period.

As a possible implementation manner, the heat supply amount of the target heat source station in the current period is the heat received by each building in the prediction period due to heat supply hysteresis, so that the embodiment of the invention can determine the sum of the actual heat requirements of each building in the prediction period as the target heat supply amount of the target heat source station in the current period.

S105, adjusting a planned heat supply scheme of the target heat source station based on the target heat supply amount of the target heat source station in the current period, and realizing safety detection of the intelligent heat supply management system.

In some embodiments, the planned heating scheme includes a planned heating amount for the current time period.

As one possible implementation, an embodiment of the present invention may adjust the planned heating scheme based on steps S1051-S1052.

S1051, calculating a first heat supply quantity difference value between the target heat supply quantity and the planned heat supply quantity in the current period.

S1052, if the first heat supply quantity difference value is smaller than the first set difference value, the planned heat supply scheme is kept unchanged.

S1053, if the first heat supply difference is greater than or equal to the first set difference, calculating a second heat supply difference between the target heat supply amount in the current period and the actual heat supply amount in the period previous to the current period.

S1054, if the second heat supply difference value is smaller than the second set difference value, controlling the target heat source station to supply heat according to the target heat supply quantity.

S1055, if the second heat supply difference value is greater than or equal to the second set difference value, controlling the target heat source station to supply heat according to the first heat supply quantity.

In some embodiments, the first heat supply amount is a sum of an actual heat supply amount of the previous period and the second set difference value.

The invention provides a safety monitoring method of an intelligent heat supply management system, which is used for carrying out short-time prediction by monitoring the real-time indoor temperature and the real-time weather condition of each building in the heat supply range of a target heat source station in real time and determining the weather condition of a prediction period. And determining the actual heat demand of each building in the predicted period by combining the real-time indoor temperature and weather conditions, then carrying out summation calculation to obtain the target heat supply amount of the target heat source station in the current period, and adjusting the planned heat supply scheme. According to the invention, the actual heat demand of each building is predicted in real time, so that the heat supply of the heat source station is accurately estimated, the influence of excessive or insufficient heat supply of the heat source station on a heat supply system pipe network is avoided, and the operation safety of a heat supply management system is improved.

Optionally, the method for monitoring safety of the intelligent heat supply management system provided by the embodiment of the invention further includes steps S201 to S204 before step S101.

S201, obtaining weather conditions of each period in the prediction period in the heat supply range of the target heat source station.

In some embodiments, the predicted period is any period of a predicted period.

S202, determining heat demand of each building in each time period in a heat supply range based on weather conditions of each time period in a prediction period and building heat characteristics of each building.

As a possible implementation manner, the embodiment of the present invention may determine the heat required by each building in each period of time within the heating range based on steps S2021-S2022.

S2021, determining a heat demand prediction model corresponding to each building based on the building thermal characteristics of each building.

S2022, determining the heat demand of each building in each period based on the weather conditions of each period in the prediction period and the heat demand prediction model corresponding to each building.

S203, determining the heat demand of each heat exchange station in each period based on the heat demand of each building in each period in the heat supply range.

As a possible implementation manner, the embodiment of the present invention may determine the required heat amount of each heat exchange station in each period based on steps S2031 to S2032.

S2031, determining the heat demand of each heat supply branch in each heat exchange station in each time period based on the heat demand of each building in each time period in the heat supply range.

S2032, determining the heat demand of each heat exchange station in each period based on the heat demand of each heat supply branch in each heat exchange station in each period.

S204, determining a planned heating scheme of the target heat source station based on the heat required by each heat exchange station in each period and the thermal hysteresis coefficient between the target heat source station and each heat exchange station.

In some embodiments, the planned heating schedule includes heating for each period of time, and the thermal hysteresis coefficient is used to represent a length of time for the heating of the target heat source station to reach the heat exchange station.

As a possible implementation, the embodiment of the present invention may determine the planned heating scheme of the target heat source station based on steps S2041-S2042.

S2041, for any heat exchange station, determining the heat supply of the target heat source station in each period for the heat exchange station based on the heat demand of the heat exchange station in each period and the thermal hysteresis coefficient between the target heat source station and the heat exchange station.

S2042, calculating the heat supply quantity of each time period of the target heat source station based on the heat supply quantity of each time period of the target heat source station for each heat exchange station.

Therefore, the intelligent heat supply system and the intelligent heat supply system can predict the heat supply quantity of the heat source station according to weather conditions before the intelligent heat supply system is monitored in real time, so that a planned heat supply scheme is obtained, real-time heat supply detection is facilitated, and the operation safety of the intelligent heat supply management system is improved.

It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic, and should not limit the implementation process of the embodiment of the present invention.

The following are device embodiments of the invention, for details not described in detail therein, reference may be made to the corresponding method embodiments described above.

Fig. 2 is a schematic structural diagram of a safety monitoring device of an intelligent heat supply management system according to an embodiment of the invention. The safety monitoring device 300 includes a communication module 301, a heat calculation module 302, and a heat adjustment module 303.

The communication module 301 is configured to monitor real-time indoor temperatures of each building within a heat supply range of the target heat source station, and real-time weather conditions within the heat supply range; weather conditions include outdoor temperature and light intensity.

The heat calculation module 302 is configured to perform short-time prediction based on real-time weather conditions in the heating range, and determine weather conditions in a prediction period; the predicted period is determined by the heat supply hysteresis of the target heat source station; determining the heat demand of each building in the prediction period based on the weather conditions of the prediction period and the real-time indoor temperature of each building; and determining the target heat supply quantity of the target heat source station in the current period based on the heat demand of each building in the predicted period.

And the heat adjustment module 303 is configured to adjust a planned heat supply scheme of the target heat source station based on a target heat supply amount of the target heat source station in the current period, so as to implement safety detection of the intelligent heat supply management system.

In a possible implementation manner, the communication module 301 is further configured to obtain weather conditions of each period of the predicted period within the heat supply range of the target heat source station; the prediction period is any period of the prediction periods; the heat calculation module 302 is further configured to determine a heat requirement of each building in each time period in the heat supply range based on weather conditions of each time period in the prediction period and building thermal characteristics of each building; determining the heat demand of each heat exchange station in each period based on the heat demand of each building in each period in the heat supply range; determining a planned heating scheme of the target heat source station based on the heat demand of each heat exchange station in each period and the thermal hysteresis coefficient between the target heat source station and each heat exchange station; the planned heating scheme includes the heating capacity of each period, and the thermal hysteresis coefficient is used to represent the time period for the heating capacity of the target heat source station to reach the heat exchange station.

In one possible implementation manner, the heat calculating module 302 is specifically configured to determine the heat required by each heat supply branch in each heat exchange station in each period based on the heat required by each building in each period in the heat supply range; and determining the heat demand of each heat exchange station in each period based on the heat demand of each heat supply branch in each heat exchange station in each period.

In one possible implementation, the heat calculation module 302 is specifically configured to determine a heat demand prediction model corresponding to each building based on the building thermal characteristics of each building; and determining the heat demand of each building in each period based on the weather conditions of each period in the prediction period and the heat demand prediction model corresponding to each building.

In one possible implementation manner, the heat calculating module 302 is specifically configured to determine, for any heat exchange station, a heat supply amount of the target heat source station for each period of time for the heat exchange station based on a heat demand of the heat exchange station in each period of time and a thermal hysteresis coefficient between the target heat source station and the heat exchange station; and calculating the heat supply quantity of each time period of the target heat source station based on the heat supply quantity of each time period of the target heat source station for each heat exchange station.

In one possible implementation, the heat calculation module 302 is specifically configured to determine a heat demand prediction model corresponding to each building based on the building thermal characteristics of each building; determining the calculated heat demand of each building in the prediction period based on the weather conditions of the prediction period and the heat demand prediction model corresponding to each building; determining heat deviation of each building based on real-time indoor temperature of each building and a preset heat supply standard temperature interval, wherein the heat deviation is used for representing correction quantity of heat required when heat supply conditions of each building are supercooling or overheat; and determining the actual heat demand of each building in the prediction period based on the calculated heat demand of each building in the prediction period and the heat deviation of each building.

In one possible implementation, the heat calculation module 302 is specifically configured to determine the actual heat required by each building during the predicted period as the target heat supply amount of the target heat source station during the current period.

In one possible implementation, the planned heating scheme includes a planned heating amount for the current period of time; the heat adjustment module 303 is specifically configured to calculate a first heat supply difference between the target heat supply amount and the planned heat supply amount in the current period; if the first heat supply quantity difference value is smaller than the first setting difference value, keeping the planned heat supply scheme unchanged; if the first heat supply quantity difference value is larger than or equal to the first set difference value, calculating a second heat supply quantity difference value between the target heat supply quantity in the current period and the actual heat supply quantity in the period which is the last to the current period; if the second heat supply quantity difference value is smaller than the second set difference value, controlling the target heat source station to supply heat according to the target heat supply quantity; if the second heat supply quantity difference value is larger than or equal to the second set difference value, controlling the target heat source station to supply heat according to the first heat supply quantity; the first heat supply amount is the sum of the actual heat supply amount in the previous period and the second set difference value.

Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention. As shown in fig. 3, the electronic apparatus 400 of this embodiment includes: a processor 401, a memory 402 and a computer program 403 stored in the memory 402 and executable on the processor 401. The steps of the method embodiments described above, such as steps S101-S105 shown in fig. 1, are implemented when the processor 401 executes the computer program 403. Alternatively, the processor 401 may implement the functions of the modules/units in the above-described device embodiments when executing the computer program 403, for example, the functions of the communication module 301, the heat calculation module 302, and the heat adjustment module 303 shown in fig. 2.

Illustratively, the computer program 403 may be partitioned into one or more modules/units that are stored in the memory 402 and executed by the processor 401 to complete the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing the specified functions, which instruction segments are used to describe the execution of the computer program 403 in the electronic device 400. For example, the computer program 403 may be divided into the communication module 301, the heat calculation module 302, and the heat adjustment module 303 shown in fig. 2.

The processor 401 may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The memory 402 may be an internal storage unit of the electronic device 400, such as a hard disk or a memory of the electronic device 400. The memory 402 may also be an external storage device of the electronic device 400, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the electronic device 400. Further, the memory 402 may also include both internal storage units and external storage devices of the electronic device 400. The memory 402 is used for storing the computer program and other programs and data required by the terminal. The memory 402 may also be used to temporarily store data that has been output or is to be output.

It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working process of the units and modules in the above system may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.

In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.

In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal and method may be implemented in other manners. For example, the apparatus/terminal embodiments described above are merely illustrative, e.g., the division of the modules or units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection via interfaces, devices or units, which may be in electrical, mechanical or other forms.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The integrated modules/units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the present invention may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth.

The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and are intended to be included in the scope of the present invention.

Claims (10)

1. A method for monitoring the safety of an intelligent heating management system, comprising:

monitoring real-time indoor temperature of each building in a heat supply range of a target heat source station, and real-time weather conditions in the heat supply range; the weather conditions include outdoor temperature and illumination intensity;

based on the real-time weather conditions in the heating range, short-time prediction is carried out, and the weather conditions in a prediction period are determined; the predicted period of time is determined by a heat supply hysteresis of the target heat source station;

determining the actual heat demand of each building in the prediction period based on the weather conditions of the prediction period and the real-time indoor temperature of each building;

Determining the target heat supply quantity of the target heat source station in the current period based on the actual heat demand of each building in the predicted period;

and adjusting a planned heat supply scheme of the target heat source station based on the target heat supply amount of the target heat source station in the current period, so as to realize the safety detection of the intelligent heat supply management system.

2. The method for monitoring the safety of an intelligent heat supply management system according to claim 1, wherein the monitoring the real-time indoor temperature of each building within the heat supply range of the target heat source station and the real-time weather conditions within the heat supply range further comprises

Acquiring weather conditions of each period of a prediction period in the heat supply range of the target heat source station; the prediction period is any period in the prediction period;

determining the heat demand of each building in each period in the heat supply range based on the weather conditions of each period in the prediction period and the building thermal characteristics of each building;

determining the heat demand of each heat exchange station in each period based on the heat demand of each building in each period in the heat supply range;

determining a planned heating scheme of the target heat source station based on the heat demand of each heat exchange station in each period and the thermal hysteresis coefficient between the target heat source station and each heat exchange station; the planned heating scheme comprises heating amounts of all time periods, and the thermal hysteresis coefficient is used for representing the time period that the heating amount of the target heat source station reaches the heat exchange station.

3. The method for monitoring the safety of the intelligent heat supply management system according to claim 2, wherein the determining the heat demand of each heat exchange station in each period based on the heat demand of each building in each period in the heat supply range comprises:

determining the heat demand of each heat supply branch in each heat exchange station in each time period based on the heat demand of each building in each time period in the heat supply range;

and determining the heat demand of each heat exchange station in each period based on the heat demand of each heat supply branch in each heat exchange station in each period.

4. The method for monitoring the safety of the intelligent heat supply management system according to claim 2, wherein the determining the heat demand of each building in the heat supply range in each period based on the weather conditions of each period of the prediction period and the building thermal characteristics of each building comprises:

determining a heat demand prediction model corresponding to each building based on the building thermal characteristics of each building;

and determining the heat demand of each building in each period based on the weather conditions of each period in the prediction period and the heat demand prediction model corresponding to each building.

5. The method for monitoring the safety of the intelligent heat supply management system according to claim 2, wherein the determining the planned heat supply scheme of the target heat source station based on the heat demand of each heat exchange station in each period and the thermal hysteresis coefficient between the target heat source station and each heat exchange station comprises:

For any heat exchange station, determining the heat supply of the target heat source station for the heat exchange station in each period based on the heat demand of the heat exchange station in each period and the thermal hysteresis coefficient between the target heat source station and the heat exchange station;

and calculating the heat supply quantity of each time period of the target heat source station based on the heat supply quantity of each heat exchange station of the target heat source station in each time period.

6. The method for monitoring the safety of the intelligent heat supply management system according to claim 1, wherein the determining the actual heat demand of each building in the prediction period based on the weather condition of the prediction period and the real-time indoor temperature of each building comprises:

determining a heat demand prediction model corresponding to each building based on the building thermal characteristics of each building;

determining the calculated heat demand of each building in the prediction period based on the weather conditions of the prediction period and the heat demand prediction model corresponding to each building;

determining heat deviation of each building based on the real-time indoor temperature of each building and a preset heat supply standard temperature interval, wherein the heat deviation is used for representing correction quantity of heat required when the heat supply condition of each building is supercooling or overheating;

And determining the actual heat demand of each building in the prediction period based on the calculated heat demand of each building in the prediction period and the heat deviation of each building.

7. The method of claim 1, wherein determining the target heat supply amount of the target heat source station in the current period based on the actual heat demand of each building in the predicted period comprises:

and determining the actual heat demand of each building in the prediction period as the target heat supply quantity of the target heat source station in the current period.

8. The method for safety monitoring of an intelligent heating management system according to claim 1, wherein the planned heating plan includes a planned heating amount for a current period of time;

the method for adjusting the planned heating scheme of the target heat source station based on the target heating amount of the target heat source station in the current period to realize the safety detection of the intelligent heating management system comprises the following steps:

calculating a first heat supply amount difference between the target heat supply amount and the planned heat supply amount in the current period;

if the first heat supply quantity difference value is smaller than a first set difference value, keeping the planned heat supply scheme unchanged;

If the first heat supply quantity difference value is larger than or equal to the first set difference value, calculating a second heat supply quantity difference value between the target heat supply quantity in the current period and the actual heat supply quantity in the period previous to the current period;

if the second heat supply quantity difference value is smaller than a second set difference value, controlling the target heat source station to supply heat according to the target heat supply quantity;

if the second heat supply quantity difference value is larger than or equal to the second set difference value, controlling the target heat source station to supply heat according to the first heat supply quantity; the first heat supply amount is the sum of the actual heat supply amount of the previous period and the second set difference value.

9. The utility model provides a wisdom heat supply management system's safety monitoring device which characterized in that includes:

the communication module is used for monitoring the real-time indoor temperature of each building in the heat supply range of the target heat source station and the real-time weather condition in the heat supply range; the real-time heat supply condition comprises planned heat demand, actual heat supply and real-time indoor temperature; the weather conditions include outdoor temperature and illumination intensity;

the heat calculation module is used for carrying out short-time prediction based on the real-time weather conditions in the heat supply range and determining the weather conditions in a prediction period; the predicted period of time is determined by a heat supply hysteresis of the target heat source station; determining the heat demand of each building in the prediction period based on the predicted weather condition of the prediction period and the real-time indoor temperature of each building; determining the target heat supply quantity of the target heat source station in the current period based on the heat demand of each building in the predicted period;

And the heat adjustment module is used for adjusting the planned heat supply scheme of the target heat source station based on the target heat supply amount of the target heat source station in the current period, so as to realize the safety detection of the intelligent heat supply management system.

10. An electronic device comprising a memory storing a computer program and a processor for invoking and running the computer program stored in the memory to perform the steps of the method according to any of claims 1 to 8.