State evaluation method and device of heat supply system, storage medium and electronic device

Abstract

The invention discloses a state evaluation method and device of a heat supply system, a storage medium and an electronic device, and the method comprises the steps: obtaining real-time temperatures corresponding to a plurality of to-be-detected areas in the heat supply system; based on the real-time temperatures corresponding to the multiple to-be-detected areas, a target room temperature deviation ratio is determined, and the target room temperature deviation ratio is used for representing the deviation degree between the real-time temperatures and the target temperature; under the condition that it is determined that the target room temperature deviation ratio is smaller than a preset first deviation ratio threshold value, a performance index in the heat supply system is obtained; the performance index is used for evaluating the performance condition of the heat supply system; and performing state evaluation on the heat supply system based on the performance index. The state of the heat supply system can be evaluated, and the problem that current state evaluation of the heat supply system is incomplete and inaccurate is effectively solved.

Description

Technical Field

[0001] The present application relates to the technical field of heating systems, and in particular to a method and device, a storage medium, and an electronic device for evaluating the state of a heating system. Background Art

[0002] As an important part of infrastructure, the efficiency and balance of the heating system are of great significance to ensuring the comfort of residents' lives and energy conservation and emission reduction. In modern cities, district heating systems cover a wide range of areas, including residential areas, commercial areas, industrial areas, etc., involving multiple links such as heat source production, heat transmission and user-end heat energy use. The design and operation of these systems face many challenges, mainly including uneven heat distribution, energy waste and environmental impact.

[0003] In recent years, with the development of technologies such as the Internet of Things, big data, cloud computing, and artificial intelligence, intelligent control and management of heating systems have become possible. By installing intelligent sensors at key nodes and user ends of the heating network, the operating status of the system can be monitored in real time, and a large amount of thermal and hydraulic parameter data can be collected. The analysis and application of these data can not only accurately evaluate the balance of the heating system, but also predict user needs, achieve dynamic regulation, and effectively solve the problems existing in traditional heating systems. However, how to use these advanced technologies to design a comprehensive and accurate method for evaluating the status of the heating system is still a topic that needs to be solved urgently in the field of heating engineering. Summary of the invention

[0004] The embodiments of the present application provide a method and device, a storage medium, and an electronic device for evaluating the status of a heating system, so as to at least solve the problem of incomplete and inaccurate evaluation of the status of a heating system in the related art.

[0005] According to an embodiment of the present application, a state assessment method for a heating system is provided, including: obtaining real-time temperatures corresponding to a plurality of areas to be detected in the heating system; determining a target room temperature deviation rate based on the real-time temperatures corresponding to the plurality of areas to be detected, the target room temperature deviation rate being used to characterize the degree of deviation between the real-time temperature and the target temperature; obtaining a performance index in the heating system when it is determined that the target room temperature deviation rate is less than a preset first deviation rate threshold; the performance index is used to assess the performance of the heating system; and performing a state assessment on the heating system based on the performance index.

[0006] In an exemplary embodiment, the target room temperature deviation rate is determined based on the real-time temperatures corresponding to the multiple areas to be detected, including: for any one of the multiple areas to be detected, based on the real-time temperature and the target temperature of the area to be detected, determining the room temperature deviation rate of the area to be detected; and determining the room temperature deviation rate with the largest value among the room temperature deviation rates of the areas to be detected as the target room temperature deviation rate.

[0007] In an exemplary embodiment, the room temperature deviation rate of the targeted area to be detected is determined based on the real-time temperature and the target temperature of the targeted area to be detected, including: determining the temperature difference between the real-time temperature of the targeted area to be detected and the target temperature; and determining the quotient between the temperature difference of the targeted area to be detected and the target temperature as the room temperature deviation rate of the targeted area to be detected.

[0008] In an exemplary embodiment, the performance index includes at least a target flow of the heating system; the state assessment of the heating system based on the performance index includes: determining a flow deviation rate based on the target flow and an average flow in the heating system; and determining that the flow of the heating system is insufficient when the flow deviation rate is less than a preset flow deviation rate threshold.

[0009] In an exemplary embodiment, the performance index also includes a target return water temperature of the heating system; the method also includes: determining the target return water temperature of the heating system when the flow deviation rate is greater than or equal to a preset flow deviation rate threshold; determining the return water temperature deviation rate based on the target return water temperature and the return water temperature average value; and performing a state assessment of the heating system based on the return water temperature deviation rate.

[0010] In an exemplary embodiment, the state assessment of the heating system is performed based on the return water temperature deviation rate, including: comparing the return water temperature deviation rate with a set return water temperature deviation rate threshold; when the return water temperature deviation rate is greater than the return water temperature deviation rate threshold, determining that the heat dissipation performance of the heating system is poor; when the return water temperature deviation rate is less than the return water temperature deviation rate threshold, determining that the building insulation measures of the heating system are poor.

[0011] In an exemplary embodiment, the method further includes: determining that the flow of the heating system exceeds a limit based on the target room temperature deviation rate being greater than a preset second deviation rate threshold; wherein the second deviation rate threshold is greater than the first deviation rate threshold.

[0012] According to another embodiment of the embodiments of the present application, a state assessment device for a heating system is also provided, including: a determination module, used to determine an energy storage device to be tested, and determine the electrical parameters of the energy storage device; a processing module, used to process the electrical parameters based on the test environment parameters corresponding to the energy storage device, and obtain target electrical parameters; a splitting module, used to split the energy storage device according to the target electrical parameters, and obtain at least two energy storage sub-devices; a testing module, used to perform performance testing based on the at least two energy storage sub-devices, and obtain test results.

[0013] According to another aspect of the embodiments of the present application, a computer-readable storage medium is provided, in which a computer program is stored, wherein the computer program is configured to execute the above method when running.

[0014] According to another aspect of the embodiments of the present application, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the method through the computer program.

[0015] According to another aspect of the embodiments of the present application, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0016] In the embodiment of the present application, the target room temperature deviation rate is calculated by real-time monitoring and analysis of the real-time temperatures of multiple areas to be detected in the heating system. The calculation of the target room temperature deviation rate enables quantitative evaluation of the heating effect. When the target room temperature deviation rate is lower than the preset first deviation rate threshold, it indicates that the heating system is not in a working state of heat balance at this time, and then the performance index in the heating system is further obtained and analyzed. By evaluating the performance index, the working state of the heating system can be deeply evaluated to find out the possible efficiency bottlenecks and energy waste points. Based on this, targeted optimization measures can be proposed to improve the energy efficiency of the entire heating system, reduce energy consumption, and achieve energy conservation and emission reduction. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0018] Figure 1 It is a hardware structure block diagram of a computer terminal of a method for evaluating a state of a heating system according to an embodiment of the present application;

[0019] Figure 2is a flow chart of a method for generating a state assessment method for a heating system according to an embodiment of the present application;

[0020] Figure 3 It is a structural block diagram of a state assessment device for a heating system according to an embodiment of the present application. DETAILED DESCRIPTION

[0021] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0022] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products, or devices; "plurality" means two or more.

[0023] The method embodiments provided in the embodiments of the present application can be executed in a computer terminal or similar computing device or cloud platform or independent physical server or software platform, wherein the above software platform is run through one or more servers. Taking running on a computer terminal as an example, Figure 1 is a hardware structure block diagram of a method for evaluating the state of a heating system according to an embodiment of the present application. Figure 1 As shown, the computer terminal may include one or more ( Figure 1 Only one is shown in the figure) processor 102 and memory 104 for storing data. In an exemplary embodiment, the computer terminal may also include a transmission device 106 for communication functions and an input and output device 108, wherein the processor 102 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA. A person skilled in the art can understand that Figure 1 The structure shown is only for illustration and does not limit the structure of the above-mentioned computer terminal. Figure 1More or fewer components as shown, or with Figure 1 Equivalent functions or comparisons shown Figure 1 A different configuration with more features is shown.

[0024] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as computer programs corresponding to the methods in the embodiments of the present application. The processor 102 executes various functional applications and data processing by running the computer programs stored in the memory 104, that is, the above-mentioned methods are implemented. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories may be connected to the computer terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0025] The transmission device 106 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of a computer terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0026] In this embodiment, a method for evaluating the state of a heating system is provided, which is applied to the above-mentioned computer device. Figure 2 : is a flow chart of a method for evaluating a state of a heating system according to an embodiment of the present application, the flow chart comprising the following steps:

[0027] Step S202, obtaining the real-time temperatures corresponding to the plurality of areas to be detected in the heating system;

[0028] Step S204, determining a target room temperature deviation rate based on the real-time temperatures corresponding to the plurality of areas to be detected, wherein the target room temperature deviation rate is used to characterize the degree of deviation between the real-time temperature and the target temperature;

[0029] Step S206, when it is determined that the target room temperature deviation rate is less than a preset first deviation rate threshold, obtaining a performance index in the heating system; the performance index is used to evaluate the performance of the heating system;

[0030] Step S208: performing a status assessment on the heating system based on the performance index.

[0031] In the embodiment of the present application, the target room temperature deviation rate is calculated by real-time monitoring and analysis of the real-time temperatures of multiple areas to be detected in the heating system. The calculation of the target room temperature deviation rate enables quantitative evaluation of the heating effect. When the target room temperature deviation rate is lower than the preset first deviation rate threshold, it indicates that the heating system is not in a working state of heat balance at this time, and then the performance index in the heating system is further obtained and analyzed. By evaluating the performance index, the working state of the heating system can be deeply evaluated to find out the possible efficiency bottlenecks and energy waste points. Based on this, targeted optimization measures can be proposed to improve the energy efficiency of the entire heating system, reduce energy consumption, and achieve energy conservation and emission reduction.

[0032] In an exemplary embodiment, the target room temperature deviation rate is determined based on the real-time temperatures corresponding to the multiple areas to be detected, including: for any one of the multiple areas to be detected, based on the real-time temperature and the target temperature of the area to be detected, determining the room temperature deviation rate of the area to be detected; and determining the room temperature deviation rate with the largest value among the room temperature deviation rates of the areas to be detected as the target room temperature deviation rate.

[0033] In an exemplary embodiment, determining the room temperature deviation rate of the targeted area to be detected based on the real-time temperature and the target temperature of the targeted area to be detected includes: determining the temperature difference between the real-time temperature of the targeted area to be detected and the target temperature; and determining the quotient between the temperature difference of the targeted area to be detected and the target temperature as the room temperature deviation rate of the targeted area to be detected.

[0034] Among them, temperature sensors can be installed at key user ends of the heating system to collect real-time indoor temperature data of each area to be detected. These areas can be buildings, units, rooms, etc., depending on the structure of the heating system and monitoring requirements.

[0035] In each area to be tested, a target temperature value is set according to user needs, climate conditions and health standards. This value is usually within a certain temperature range to adapt to changes in different users and seasons. For each area to be tested, the real-time temperature collected in real time is calculated with the target temperature of the area to determine the temperature difference, and then the room temperature deviation rate is calculated based on the quotient between the temperature difference and the target temperature. The room temperature deviation rate reflects the degree of deviation between the actual temperature and the target temperature. If the deviation rate is a positive value, it means that the actual temperature is higher than the target temperature; if it is a negative value, it means that the actual temperature is lower than the target temperature. The larger the absolute value, the more serious the deviation.

[0036] Among all the room temperature deviation rates in the areas to be tested, find the deviation rate with the largest value, that is, the deviation rate with the largest absolute value. This largest deviation rate can indicate the area in the heating system where the heating effect deviates most from the target temperature, which helps to quickly locate the location of the problem.

[0037] The room temperature deviation rate with the largest value is determined as the target room temperature deviation rate. The role of the target room temperature deviation rate is that it represents the area in the entire heating system that needs the most attention and adjustment, and is an important basis for system performance evaluation and optimization measures. The target room temperature deviation rate directly reflects the balance of the heating system under the worst conditions and is one of the key indicators for evaluating the overall performance of the heating system.

[0038] In an exemplary embodiment, the performance index includes at least a target flow of the heating system; the state assessment of the heating system based on the performance index includes: determining a flow deviation rate based on the target flow and an average flow in the heating system; and determining that the flow of the heating system is insufficient when the flow deviation rate is less than a preset flow deviation rate threshold.

[0039] In the heating system, the target flow rate refers to the pre-set water flow rate standard for each user end or heating area in order to meet the user's heat demand and ensure the efficient and stable operation of the system. The setting of the target flow rate is based on multiple factors, including user heat load, pipe network characteristics, heat source capacity, etc., and is the result of comprehensive considerations. Usually, the target flow rate is calculated through the mathematical model of the heating system, or is set based on historical operating data and experience.

[0040] It should be noted that by real-time monitoring and recording of the actual water flow data in the heating system, these data can be the average flow of each user end, pipeline section or the entire heating system. By installing flow sensors and data acquisition devices, accurate flow data can be obtained, providing a basis for subsequent deviation rate calculation.

[0041] Specifically, the calculated flow deviation rate is compared with the preset flow deviation rate threshold. This threshold is set according to the operating characteristics and safety requirements of the heating system, and is used to determine whether the imbalance of the system flow is within an acceptable range. If the flow deviation rate is less than the preset flow deviation rate threshold, it means that the actual average flow is lower than the target flow, and there is insufficient flow. Insufficient flow may be caused by a variety of reasons, such as blockage of the heating pipeline, insufficient opening of the regulating valve, insufficient supply of heat source, etc. When insufficient flow is found, the heating system needs to take corresponding adjustment measures, such as increasing the heat source output, adjusting the valve opening, cleaning the pipeline, etc., to ensure that each user end can get enough water flow to meet its heat demand.

[0042] In the above embodiment, based on the flow parameters in the performance index, the flow balance state of the system is evaluated in real time, and the problem of insufficient flow is discovered and solved in time, ensuring the efficient and stable operation of the heating system, while improving the thermal comfort of users and reducing unnecessary energy waste. This dynamic monitoring and feedback mechanism is of great significance for improving the intelligence level of the heating system and the energy-saving and emission-reduction effects.

[0043] In an exemplary embodiment, the performance index also includes a target return water temperature of the heating system; the method also includes: determining the target return water temperature of the heating system when the flow deviation rate is greater than or equal to a preset flow deviation rate threshold; determining the return water temperature deviation rate based on the target return water temperature and the return water temperature average; and performing a state assessment of the heating system based on the return water temperature deviation rate.

[0044] Among them, the target return water temperature is a standard value pre-set during the design and operation of the heating system based on the efficiency of the heat source, the heat demand of the user end, and the hydraulic characteristics of the pipe network. The target return water temperature is the expected value of the system under ideal conditions. It reflects the temperature point at which the system can maintain a high thermal efficiency while meeting the heat demand of the user. The setting of the target return water temperature needs to comprehensively consider the maximum efficiency point of the heat source, the best heat dissipation effect at the user end, and the overall energy-saving requirements of the system.

[0045] It is understandable that by installing temperature sensors at key nodes of the heating network, the return water temperature of each user end is monitored in real time, and then the average return water temperature of the entire heating system is calculated. The average return water temperature is the statistical result of the return water temperature of all user ends under the current operating conditions of the heating system, which reflects the actual thermal efficiency and hydraulic balance of the system.

[0046] After determining the target return water temperature and the average actual return water temperature, the return water temperature deviation rate needs to be calculated. When the flow deviation rate is greater than or equal to the preset flow deviation rate threshold, the thermal efficiency of the system needs to be further evaluated. At this time, the return water temperature deviation rate calculated based on the target return water temperature and the actual average return water temperature becomes a key evaluation indicator.

[0047] If the return water temperature deviation rate shows a large positive value (that is, the actual return water temperature is significantly lower than the target value), the system may have problems such as insufficient heat supply or uneven hydraulic distribution. It is necessary to increase the output of the heat source or optimize the hydraulic distribution to improve the thermal efficiency of the system and ensure that the thermal demand of the user is met.

[0048] If the return water temperature deviation rate shows a large negative value (that is, the actual return water temperature is significantly higher than the target value), it indicates that the system may have thermal energy waste or low thermal load. It is necessary to reduce the output power of the heat source or re-evaluate the thermal demand of the user to reduce energy consumption and improve the economy and environmental friendliness of the system.

[0049] Based on the comprehensive analysis of flow deviation rate and return water temperature deviation rate, the system can formulate corresponding optimization strategies, which may include adjusting the working state of the heat source (such as increasing or decreasing the thermal power), optimizing the hydraulic distribution of the pipe network (such as adjusting the valve opening), improving the performance of the heat dissipation equipment at the user end, and enhancing the insulation effect of the building. Through these measures, the heating system can more accurately control the production and distribution of thermal energy, improve thermal efficiency, ensure the thermal comfort of users, and reduce energy consumption and operating costs.

[0050] In the above embodiment, by using the flow deviation rate and the return water temperature deviation rate as evaluation indicators, it is possible to comprehensively monitor and evaluate its own operating status, timely discover and solve imbalance problems, maintain efficient and stable operation of the system, meet the diverse heat needs of users, and contribute to energy conservation, emission reduction and sustainable development. This data-based dynamic monitoring and optimization mechanism is of great significance to improving the intelligence level of the heating system and user satisfaction.

[0051] In an exemplary embodiment, the state assessment of the heating system is performed based on the return water temperature deviation rate, including: comparing the return water temperature deviation rate with a set return water temperature deviation rate threshold; when the return water temperature deviation rate is greater than the return water temperature deviation rate threshold, determining that the heat dissipation performance of the heating system is poor; when the return water temperature deviation rate is less than the return water temperature deviation rate threshold, determining that the building insulation measures of the heating system are poor.

[0052] It should be noted that if the absolute value of the return water temperature deviation rate is greater than the set return water temperature deviation rate threshold, the abnormal state assessment stage is entered. This usually indicates that there are problems with the system in terms of heat recovery and utilization efficiency, such as poor heat dissipation performance of the radiator or heat dissipation equipment.

[0053] If the absolute value of the return water temperature deviation rate is less than the set return water temperature deviation rate threshold, this indicates that the system's heat dissipation performance may exceed expectations, resulting in a return water temperature that is too low. This situation is usually related to the building's thermal insulation performance, such as poor thermal insulation of the building envelope, resulting in excessive heat loss.

[0054] When the return water temperature deviation rate is greater than the return water temperature deviation rate threshold, the heat dissipation performance is determined to be poor. This means that the heat is not fully absorbed or utilized at the user end, resulting in a higher return water temperature than expected. This may be caused by the radiator surface being too dirty or blocked, or the radiator's heat output not matching the user's actual needs. Solutions may include cleaning or repairing the cooling equipment, adjusting the radiator's heat output, or optimizing the system's hydraulic distribution.

[0055] When the return water temperature deviation rate is less than the return water temperature deviation rate threshold, it is determined that the building insulation measures are poor. This is usually because the insulation effect of the building envelope is poor, resulting in excessive heat loss in the room and the return water temperature is lower than expected. Solutions may include strengthening the building's insulation materials, such as adding insulation layers to walls and roofs, or optimizing the sealing performance of windows and doors to reduce unnecessary heat loss.

[0056] In the above embodiment, by real-time monitoring of the return water temperature deviation rate and comparing it with the preset threshold, the heating system can quickly identify problems in heat dissipation performance and building insulation effect, take corresponding adjustment measures, ensure long-term stable operation of the system, and improve energy efficiency and user thermal comfort. This data-based dynamic monitoring and optimization mechanism is one of the key technologies for realizing intelligent and efficient management of heating systems, and plays an important role in improving the overall performance of the system and achieving energy conservation and emission reduction goals.

[0057] In an exemplary embodiment, the method further includes: determining that the flow of the heating system exceeds a limit based on the target room temperature deviation rate being greater than a preset second deviation rate threshold; wherein the second deviation rate threshold is greater than the first deviation rate threshold.

[0058] Among them, in the operation and management of the heating system, two room temperature deviation rate thresholds are set, namely the first deviation rate threshold and the second deviation rate threshold. The first deviation rate threshold is a smaller value, which is used to judge whether there is a room temperature deviation in the heating system, but the degree of deviation is still within an acceptable range. The second deviation rate threshold is a larger value, which is used to judge whether there is a serious room temperature deviation problem in the heating system, which may have exceeded the limit of normal operation of the system and requires immediate measures.

[0059] When the target room temperature deviation rate is determined, if the target room temperature deviation rate is greater than the second deviation rate threshold, this indicates that there may be a flow rate overrun. Flow overrun usually means that the actual flow of the heating system exceeds the reasonable upper limit during design or operation, which may cause the room temperature in some areas to be too high and the room temperature in other areas to be too low, resulting in serious room temperature deviation problems. Flow overrun may also increase the energy consumption of the system and even pose a threat to the safe operation of the pipeline network and equipment.

[0060] Once the flow rate exceeds the limit, the heating system needs to take immediate measures to adjust the target room temperature to reduce the deviation rate and return it to an acceptable range. Adjustment measures may include: adjusting the output power of the heat source to reduce the generation and supply of heat to avoid excessive room temperature in certain areas. Adjust the opening of the pipe network valve to control the water flow rate and ensure that the heat can be evenly distributed to each area. Optimize the system's hydraulic distribution strategy, such as using zoned heating and dynamic adjustment methods to avoid room temperature deviations caused by uneven flow distribution. Strengthen management on the user side, such as providing user education, encouraging the rational use of heating resources, and avoiding unnecessary heat waste.

[0061] In order to better understand the process of the state assessment method of the above-mentioned heating system, the state assessment method of the above-mentioned heating system is described below in combination with an optional embodiment, but it is not used to limit the technical solution of the embodiment of the present application.

[0062] The heating system is a complex network system, including heat sources, pipe networks, and user terminals. The heat source generates heat, which is transported to the user terminal through the pipe network to meet the user's heating needs. However, due to differences in factors such as pipe network length, pipe diameter, material, and thermal insulation performance, as well as different heat dissipation equipment at the user terminal, there is an imbalance in the heat transmission and distribution process. In addition, the heating system is also affected by multiple factors such as climatic conditions, building thermal insulation performance, and user behavior, which further increases the complexity of the system.

[0063] Different users have different requirements for indoor temperature. For example, the elderly may prefer a warmer environment, while young people may prefer a cooler indoor environment. In addition, users' requirements for indoor temperature will also change at different times of the day, such as the large temperature difference between day and night. Therefore, the heating system needs to be able to flexibly adjust heat distribution to meet the personalized needs of different users.

[0064] With the intensification of the global energy crisis and the improvement of environmental protection awareness, energy conservation and emission reduction have become a global consensus. As a major energy consumer, the energy conservation and emission reduction work of the heating system is particularly important. However, traditional heating systems often waste energy, such as large heat loss in the pipe network and low equipment efficiency. Therefore, it is necessary to optimize the operating parameters of the heating system through a scientific heat balance analysis method, improve energy utilization efficiency, and reduce energy consumption and emissions.

[0065] In recent years, with the continuous development of science and technology, the technical level of heating systems has been continuously improved. Modern heating systems have achieved automated and intelligent control, and can monitor and adjust the operating status of the system in real time. At the same time, the application of advanced technologies such as big data and cloud computing has also provided strong support for the analysis of heating balance. By collecting and analyzing a large amount of operating data, the balance of the heating system can be more accurately evaluated and corresponding optimization measures can be formulated.

[0066] The current regional heating balance analysis only compares the actual room temperature with the average room temperature, and divides the levels according to the difference. Based on the balance of the room temperature, this application also analyzes related factors such as hydraulic balance, radiator effect, indoor insulation effect, etc., and puts forward targeted optimization suggestions based on the evaluation results and room temperature deviation analysis. The purpose of the evaluation is to improve the balance and user satisfaction of the regional heating system, determine the specific areas and objects of the evaluation, and take all the building units in the heating area of ​​a community as an example.

[0067] Temperature sensors are installed at key locations in the heat users of each building, and regulating valves, heat meters and other data collection equipment are installed between the heating wells to ensure that indoor temperature, flow, supply and return water temperature and other data can be collected in real time and accurately. At the same time, the flow of each household can be remotely controlled through electric regulating valves.

[0068] A special data collection and processing system is established to receive, store and process the collected data in real time. The data collection and processing system has functions such as data cleaning and outlier removal to ensure the accuracy and reliability of the data. The indoor temperature data of each building unit and other related parameter data are obtained in real time through data acquisition equipment.

[0069] The collected data is preprocessed, including data cleaning (removing noise, outliers, etc.), data compression (reducing storage space and computing power), data conversion (converting raw data into the format required for evaluation), etc.

[0070] According to local climate conditions and user needs, set the reasonable indoor temperature T of each building unit. N (i.e., target temperature) and the allowable deviation range ±a%, i.e., the deviation rate threshold, where -a% represents the first deviation rate threshold and -a% represents the second deviation rate threshold. The value of a can be set adaptively based on the actual error demand. The actual indoor temperature, i.e., the real-time temperature T, is compared with the set reasonable indoor temperature to calculate the temperature difference. The room temperature deviation rate η reflects the gap between the actual heating effect and the set target.

[0071]

[0072] Among them, η represents the room temperature deviation rate. Statistical analysis is carried out on the room temperature deviation rate to find out the target room temperature deviation rate with a large deviation and analyze its reasons. The possible reasons include unbalanced heating systems, aging pipelines, insufficient insulation measures, etc. Based on the target room temperature deviation rate and other relevant parameter data, an evaluation index system for district heating balance is constructed. The index system includes multiple dimensions and indexes, such as room temperature deviation rate, return water temperature stability, hydraulic balance degree, complaint rate, etc.

[0073] If |η| < a%, it meets the requirements;

[0074] If η < -a%, then compare the target flow rate Q X with the average flow rate Q N , if (Q X -Q N )

[0075] / Q N *100% < -b%, it is prompted that the flow rate is insufficient and the valve opening needs to be adjusted to increase, if (Q X -Q N ) / Q N *100% ≥ -b%, then compare the target return water temperature Th x with the average return water temperature Th N , (Th x -Th N )

[0076] / Th N *100% > c%, it is prompted that the heat dissipation effect of the radiator is poor; if (Th x -Th N ) / Th N *100% < c%, it is prompted that the building insulation measures are insufficient. Among them, b represents the flow rate deviation rate, c represents the return water temperature deviation rate, and the values of b and c can be the same as a, and can also be adaptively determined based on actual error requirements, etc.

[0077] If η > a%, it is prompted that the flow rate exceeds the limit and the valve opening needs to be adjusted to decrease.

[0078] Through the description of the above implementation manners, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by means of software plus a necessary general hardware platform. Of course, it can also be implemented by hardware, but in many cases the former is a better implementation manner. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disc), and includes several instructions for causing a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods of the various embodiments of the present application.

[0079] The present application also provides a structural block diagram of a state evaluation device for a heating system. Figure 3 is a structural block diagram of a state evaluation device for a heating system according to an embodiment of the present application; Figure 3 As shown, including:

[0080] The first acquisition module 32 is used to obtain the real-time temperatures corresponding to the multiple areas to be detected in the heating system;

[0081] A determination module 34, configured to determine a target room temperature deviation rate based on the real-time temperatures corresponding to the plurality of areas to be detected, wherein the target room temperature deviation rate is used to characterize a degree of deviation between the real-time temperature and the target temperature;

[0082] A second acquisition module 36 is used to acquire a performance index in the heating system when it is determined that the target room temperature deviation rate is less than a preset first deviation rate threshold; the performance index is used to evaluate the performance of the heating system;

[0083] The evaluation module 38 is used to perform a status evaluation on the heating system based on the performance index.

[0084] Through the above device, the real-time temperature of multiple areas to be detected in the heating system is monitored and analyzed in real time, and then the target room temperature deviation rate is calculated. The calculation of the target room temperature deviation rate enables quantitative evaluation of the heating effect. When the target room temperature deviation rate is lower than the preset first deviation rate threshold, it indicates that the heating system is not in a heating balance working state at this time, and then the performance index in the heating system is further obtained and analyzed. By evaluating the performance index, the working state of the heating system can be deeply evaluated, and possible efficiency bottlenecks and energy waste points can be found. Based on this, targeted optimization measures can be proposed to improve the energy efficiency of the entire heating system, reduce energy consumption, and achieve energy conservation and emission reduction.

[0085] In an exemplary embodiment, the determination module 34 is also used to determine the room temperature deviation rate of any one of the multiple areas to be detected based on the real-time temperature and target temperature of the area to be detected; and determine the room temperature deviation rate with the largest value among the room temperature deviation rates of each of the areas to be detected as the target room temperature deviation rate.

[0086] In an exemplary embodiment, the determination module 34 is also used to determine the temperature difference between the real-time temperature of the area to be detected and the target temperature; and the quotient between the temperature difference of the area to be detected and the target temperature is determined as the room temperature deviation rate of the area to be detected.

[0087] In an exemplary embodiment, the performance index includes at least a target flow of the heating system; the evaluation module 38 is further used to determine a flow deviation rate based on the target flow and an average flow in the heating system; and when the flow deviation rate is less than a preset flow deviation rate threshold, it is determined that the flow of the heating system is insufficient.

[0088] In an exemplary embodiment, the performance index also includes the target return water temperature of the heating system; the evaluation module 38 is further used to determine the target return water temperature of the heating system when the flow deviation rate is greater than or equal to a preset flow deviation rate threshold; determine the return water temperature deviation rate based on the target return water temperature and the return water temperature average value; and perform a state evaluation of the heating system based on the return water temperature deviation rate.

[0089] In an exemplary embodiment, the evaluation module 38 is also used to compare the return water temperature deviation rate with a set return water temperature deviation rate threshold; when the return water temperature deviation rate is greater than the return water temperature deviation rate threshold, it is determined that the heat dissipation performance of the heating system is poor; when the return water temperature deviation rate is less than the return water temperature deviation rate threshold, it is determined that the building insulation measures of the heating system are poor.

[0090] In an exemplary embodiment, the evaluation module 38 is also used to determine that the flow of the heating system exceeds the limit based on the target room temperature deviation rate being greater than a preset second deviation rate threshold; wherein the second deviation rate threshold is greater than the first deviation rate threshold.

[0091] An embodiment of the present application further provides a storage medium, which includes a stored program, wherein the program executes any of the above methods when it is run.

[0092] Optionally, in this embodiment, the storage medium may be configured to store program codes for executing the following steps:

[0093] S1, obtaining the real-time temperatures corresponding to multiple areas to be detected in the heating system;

[0094] S2, determining a target room temperature deviation rate based on the real-time temperatures corresponding to the plurality of areas to be detected, wherein the target room temperature deviation rate is used to characterize the degree of deviation between the real-time temperature and the target temperature;

[0095] S3, when it is determined that the target room temperature deviation rate is less than a preset first deviation rate threshold, obtaining a performance index in the heating system; the performance index is used to evaluate the performance of the heating system;

[0096] S4, performing a status assessment on the heating system based on the performance index.

[0097] An embodiment of the present application further provides an electronic device, including a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0098] Optionally, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0099] Optionally, in this embodiment, the processor may be configured to perform the following steps through a computer program:

[0100] S1, obtaining the real-time temperatures corresponding to multiple areas to be detected in the heating system;

[0101] S2, determining a target room temperature deviation rate based on the real-time temperatures corresponding to the plurality of areas to be detected, wherein the target room temperature deviation rate is used to characterize the degree of deviation between the real-time temperature and the target temperature;

[0102] S3, when it is determined that the target room temperature deviation rate is less than a preset first deviation rate threshold, obtaining a performance index in the heating system; the performance index is used to evaluate the performance of the heating system;

[0103] S4, performing a status assessment on the heating system based on the performance index.

[0104] Optionally, in this embodiment, the above-mentioned storage medium may include but is not limited to: a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk, and other media that can store program codes.

[0105] An embodiment of the present application further provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the steps in any one of the above method embodiments are implemented.

[0106] An embodiment of the present application further provides another computer program product, including a non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0107] An embodiment of the present application also provides a computer program, which includes computer instructions stored in a computer-readable storage medium; a processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device performs the steps in any one of the above method embodiments.

[0108] Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments and optional implementation modes, and this embodiment will not be described in detail here.

[0109] Obviously, those skilled in the art should understand that the above modules or steps of the present application can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, and optionally, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order from that herein, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present application is not limited to any specific combination of hardware and software.

[0110] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method for evaluating the state of a heating system, characterized in that: include: Obtain the real-time temperatures corresponding to multiple areas to be detected in the heating system; Determine a target room temperature deviation rate based on the real-time temperatures corresponding to the plurality of areas to be detected, wherein the target room temperature deviation rate is used to characterize the degree of deviation between the real-time temperature and the target temperature; When it is determined that the target room temperature deviation rate is less than a preset first deviation rate threshold, obtaining a performance index in the heating system; the performance index is used to evaluate the performance of the heating system; Based on the performance index, a status assessment is performed on the heating system.

2. The method according to claim 1, characterized in that The step of determining the target room temperature deviation rate based on the real-time temperatures respectively corresponding to the plurality of areas to be detected includes: For any one of the plurality of areas to be detected, based on the real-time temperature and the target temperature of the area to be detected, determining a room temperature deviation rate of the area to be detected; Among the room temperature deviation rates of the areas to be detected, the room temperature deviation rate with the largest value is determined as the target room temperature deviation rate.

3. The method according to claim 2, characterized in that The step of determining the room temperature deviation rate of the area to be detected based on the real-time temperature and the target temperature of the area to be detected includes: Determine a temperature difference between the real-time temperature of the area to be detected and the target temperature; The quotient between the temperature difference of the area to be detected and the target temperature is determined as the room temperature deviation rate of the area to be detected.

4. The method according to claim 1, characterized in that: The performance index at least includes a target flow rate of the heating system; and the state evaluation of the heating system based on the performance index includes: determining a flow deviation rate based on the target flow and an average flow in the heating system; When the flow deviation rate is less than a preset flow deviation rate threshold, it is determined that the flow of the heating system is insufficient.

5. The method according to claim 4, characterized in that The performance index also includes a target return water temperature of the heating system; the method further includes: When the flow deviation rate is greater than or equal to a preset flow deviation rate threshold, determining a target return water temperature of the heating system; Determining a return water temperature deviation rate based on the target return water temperature and the return water temperature average value; Based on the return water temperature deviation rate, a status assessment is performed on the heating system.

6. The method according to claim 5, characterized in that The step of performing a status assessment on the heating system based on the return water temperature deviation rate includes: Comparing the return water temperature deviation rate with a set return water temperature deviation rate threshold; When the return water temperature deviation rate is greater than the return water temperature deviation rate threshold, determining that the heat dissipation performance of the heating system is poor; When the return water temperature deviation rate is less than the return water temperature deviation rate threshold, it is determined that the building insulation measures of the heating system are poor.

7. The method according to claim 1, characterized in that The method further comprises: In a case where the target room temperature deviation rate is greater than a preset second deviation rate threshold, it is determined that the flow of the heating system is out of limit; wherein the second deviation rate threshold is greater than the first deviation rate threshold.

8. A state assessment device for a heating system, characterized in that: include: The first acquisition module is used to obtain the real-time temperatures corresponding to the multiple areas to be detected in the heating system; A determination module, configured to determine a target room temperature deviation rate based on the real-time temperatures corresponding to the plurality of areas to be detected, wherein the target room temperature deviation rate is used to characterize a degree of deviation between the real-time temperature and the target temperature; A second acquisition module is used to acquire a performance index in the heating system when it is determined that the target room temperature deviation rate is less than a preset first deviation rate threshold; the performance index is used to evaluate the performance of the heating system; An evaluation module is used to perform a status evaluation on the heating system based on the performance index.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein the program executes the method described in any one of claims 1 to 7 when executed.

10. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to execute the method according to any one of claims 1 to 7 through the computer program.

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