A shut-off valve control system for the user side of a heating network

Abstract

The present invention provides a shutoff valve control system for a heating network user side, which belongs to the field of heating network control technology and includes: a parameter acquisition module: a preset sensor is installed at the user end to collect the parameters of the user end in real time; a demand acquisition module: the parameters of the user end are analyzed to obtain the user demand; a shutoff valve adjustment module: the user demand is analyzed, and the shutoff valve is adjusted based on the analysis result; a pipeline optimization module: the user end data after the shutoff valve is adjusted is monitored in real time and analyzed, and the pipeline is optimized based on the analysis result; a parameter adjustment module: the user end data is continuously monitored, and the user end data is analyzed in real time, and the adjustment parameters of the shutoff valve are adjusted based on the analysis result. The flexibility and intelligence level of the heating network system are enhanced, and significant energy saving and economic benefits are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of heating network control, and in particular to a heating network user-side shutoff valve control system. Background Art

[0002] As urban heating demand increases, the energy efficiency and flexibility of heating network systems become particularly important.

[0003] The current heating network control system mostly relies on fixed adjustment strategies, which makes it difficult to respond to changes in user demand in real time, resulting in energy waste and poor user experience. For example, existing solutions often adjust the shut-off valve manually or in a timed manner, lacking intelligent analysis and adjustment of real-time data. Based on the above existing technical solutions, the main defect is that it cannot analyze user-side parameters in real time, resulting in a lag in shut-off valve adjustment, which cannot effectively meet user needs and optimize energy efficiency.

[0004] Therefore, the present invention provides a shut-off valve control system on the user side of a heating network. Summary of the invention

[0005] The present invention provides a shut-off valve control system on the user side of a heating network, which is used to realize dynamic adjustment of the shut-off valve by integrating real-time parameter collection and intelligent demand analysis, significantly improving the response capability of the system, optimizing energy distribution according to actual user needs through continuous monitoring and pipeline optimization, reducing energy waste, improving heating efficiency, improving user experience, and enhancing the flexibility and intelligence level of the heating network system, with significant energy saving and economic benefits.

[0006] A heat network user-side shutoff valve control system provided by the present invention comprises:

[0007] Parameter collection module: Install preset sensors on the user side to collect the parameters of the user side in real time;

[0008] Demand acquisition module: analyzes the parameters of the user end to obtain user needs;

[0009] Shut-off valve adjustment module: Analyzes user needs and adjusts the shut-off valve based on the analysis results;

[0010] Pipeline optimization module: real-time monitoring and analysis of user-end data after regulating the shut-off valve, and optimization of the pipeline based on the analysis results;

[0011] Parameter adjustment module: Continuously monitor user-side data, perform real-time analysis on the user-side data, and adjust the shut-off valve's regulation parameters based on the analysis results.

[0012] According to a heat network user-side shut-off valve control system provided by the present invention, preset sensors include: a pressure sensor, a temperature sensor and a flow sensor.

[0013] According to a heat network user side shut-off valve control system provided by the present invention, a demand acquisition module includes:

[0014] Feature acquisition unit: extracts several initial features from the parameters of the user end, and analyzes the initial features to obtain several key features;

[0015] Model building unit: determining the demand forecasting model in a preset feature type-model database based on the feature type of the key feature, and then establishing the demand forecasting model;

[0016] Demand acquisition unit: inputs the user-side parameters collected in real time into the demand prediction model to obtain several user demands.

[0017] According to a heat network user-side shut-off valve control system provided by the present invention, user requirements include: user steam flow requirements, user steam pressure requirements, user steam temperature requirements, user time characteristic requirements and user backup requirements.

[0018] According to the present invention, a heat network user-side shutoff valve control system and a shutoff valve regulating module are provided, comprising:

[0019] Coefficient determination unit: Determine the steam supply coefficient for each time period based on user demand:

[0020] Type acquisition unit: based on the steam flow demand of each user and the time characteristic demand of the user, the type of the regulating shut-off valve adapted to each user is acquired from the preset flow-time characteristic-shut-off valve model;

[0021] Classification unit: divides users into several demand levels based on their steam flow requirements and preset classification methods;

[0022] Parameter acquisition unit: obtains the opening and closing range and sensitivity of each type of regulating shut-off valve based on the preset manual;

[0023] Parameter setting unit: setting the opening and closing range and sensitivity of the corresponding regulating shut-off valve based on the demand level of each user and the opening and closing range and sensitivity of each type of regulating shut-off valve;

[0024] Regulation control unit: Based on the steam supply coefficient of each time period, the demand level of each user, the opening and closing range and sensitivity of each regulating shut-off valve, the regulation strategy is determined to regulate the shut-off valve.

[0025] According to a heat network user side shut-off valve control system provided by the present invention, a coefficient determination unit comprises:

[0026] Determine the steam supply coefficient for each time period based on the user's steam flow demand, user's steam pressure demand and user's time characteristic demand:

[0027]

[0028] Among them, C t is the steam supply coefficient of the user in time period t, Q t is the steam flow demand of the user in time period t, is the steam pressure demand of the user in time period t, is the time characteristic demand coefficient of the user in time period t, and Q s is the preset maximum steam flow rate that can be supplied, P s is the preset maximum steam pressure that can be supplied, is the weight coefficient of the user's steam flow demand in time period t, is the weight coefficient of the user's steam pressure demand in time period t, is the weight coefficient of the user's time characteristic demand coefficient in time period t, β t is the preset load ratio coefficient, and β t ∈[0,1].

[0029] According to the present invention, a heat network user-side shutoff valve control system and a pipeline optimization module are provided, comprising:

[0030] Data analysis unit: real-time monitoring of user-side data after the shut-off valve is adjusted and analysis of the user-side data is performed to obtain the user demand value of each user;

[0031] Partition division unit: divides the heat network pipeline into several partitions based on the user demand value and user location of each user;

[0032] A coefficient determination unit: determines the load coefficient of each partition based on the user-side data, and determines the difference between the load coefficients of adjacent partitions;

[0033] First optimization unit: when the difference between the load coefficients of adjacent partitions is greater than a preset difference, a bypass pipeline is installed at the junction of the adjacent partitions where the difference between the load coefficients of adjacent partitions is greater than the preset difference, and the control valve is replaced with a control valve with higher sensitivity;

[0034] The second optimization unit: determines the total demand value of each partition based on the user demand value of each user, and when the total demand value of the partition is less than the preset demand value, a differential pressure regulating valve is installed on each pipeline in the partition.

[0035] According to a heat network user side shut-off valve control system provided by the present invention, a coefficient determination unit comprises:

[0036] Coefficient determination subunit: Determines the load coefficient of each partition based on the user-side data:

[0037]

[0038] Among them, F k is the load factor of partition k, Q k,i is the steam flow demand value of user i in the zone, P k,i is the steam pressure demand value of user i in zone k, N k is the total number of users in partition k, Q k,s is the preset maximum steam flow rate of zone k, P k,s The preset maximum steam pressure for zone k, D k,i is the distance from user i to the center of partition k, ω Q is the weight coefficient corresponding to the steam flow rate, ω P is the weight coefficient corresponding to the steam pressure, ω D is the weight coefficient corresponding to the distance, L k is the total length of partition k.

[0039] Compared with the prior art, the present invention has the following beneficial effects:

[0040] By integrating real-time parameter collection and intelligent demand analysis, dynamic adjustment of the shut-off valve is achieved, which significantly improves the system's responsiveness. Through continuous monitoring and pipeline optimization, energy distribution is optimized according to actual user needs, energy waste is reduced, heating efficiency is improved, and user experience is improved. The flexibility and intelligence level of the heating network system are also enhanced, with significant energy-saving and economic benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0042] Figure 1 It is a structural schematic diagram of a heat network user-side shut-off valve control system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0043] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0044] Example 1

[0045] The embodiment of the present invention provides a heat network user side shut-off valve control system, such as Figure 1 As shown, including:

[0046] Parameter collection module: Install preset sensors on the user side to collect the parameters of the user side in real time;

[0047] Demand acquisition module: analyzes the parameters of the user end to obtain user needs;

[0048] Shut-off valve adjustment module: Analyzes user needs and adjusts the shut-off valve based on the analysis results;

[0049] Pipeline optimization module: real-time monitoring and analysis of user-end data after regulating the shut-off valve, and optimization of the pipeline based on the analysis results;

[0050] Parameter adjustment module: Continuously monitor user-side data, perform real-time analysis on the user-side data, and adjust the shut-off valve's regulation parameters based on the analysis results.

[0051] In this embodiment, the parameters of the user end include the user's real-time heat consumption, inlet and outlet water temperature, pressure, flow rate and other data. For example: heat consumption: the heat consumption value obtained by the user in real time through the heat meter, reflecting the current heating demand, inlet and outlet water temperature: the inlet and outlet water temperatures monitored by the sensor, helping to determine the thermal efficiency of the system, pressure: the fluid pressure data in the pipeline, ensuring the safe operation of the heating system, flow rate: the hot water flow rate measured by the flow meter, affecting the heating capacity and the degree of satisfaction of user needs.

[0052] In this embodiment, pipeline optimization refers to adjusting the operating parameters of the heating network system to improve efficiency by analyzing user-side data. For example: flow path optimization: optimize the water flow path according to flow and pressure data, reduce heat loss, and improve heating efficiency; pipe diameter adjustment: in some areas where user demand changes greatly, adjust the pipe diameter in a timely manner to ensure a stable hot water supply; valve adjustment: adjust the valve opening according to real-time monitoring results to optimize the flow of heat medium.

[0053] In this embodiment, the adjustment of the shut-off valve is a subtle adjustment to the valve operation based on the real-time analysis results, for example: opening setting: dynamically adjust the valve opening according to changes in user demand to adapt to different heat demands, response time optimization: adjust the valve response time through an algorithm to achieve rapid response to meet sudden heat demands, PID control parameters: adjust the proportional (P), integral (I), and differential (D) control parameters to optimize the valve's automatic control strategy to ensure stable and efficient operation of the heating system.

[0054] The beneficial effects of the above technical solution are: by integrating real-time parameter collection and intelligent demand analysis, dynamic adjustment of the shut-off valve can be achieved, significantly improving the system's response capability; through continuous monitoring and pipeline optimization, energy distribution is optimized according to actual user needs, energy waste is reduced, heating efficiency is improved, user experience is improved, and the flexibility and intelligence level of the heating network system are enhanced, with significant energy-saving and economic benefits.

[0055] Example 2

[0056] The embodiment of the present invention provides a heat network user-side shut-off valve control system, with preset sensors including: a pressure sensor, a temperature sensor and a flow sensor.

[0057] In this embodiment, the pressure sensor is used to detect the fluid pressure in the pipeline. By real-time monitoring of pressure changes, the safety of the heating system can be ensured and failures caused by overpressure or underpressure can be prevented. At the same time, the pressure data can help analyze the flow state of the pipeline and optimize the flow efficiency of the heat medium;

[0058] In this embodiment, the temperature sensor is used to detect the temperature of the inlet and outlet water. These data are helpful to evaluate the heating effect and thermal efficiency of the system. By comparing the inlet and outlet water temperatures, it is determined whether the user's heating needs are met and adjustments are made when necessary;

[0059] In this embodiment, the flow sensor is used to measure the flow of hot water through the pipeline. The flow data is a key parameter for understanding the actual heat usage at the user end, which helps to adjust the shut-off valve in time to meet user needs and optimize system operation. By monitoring the flow, efficient distribution of thermal energy can be ensured and energy waste can be reduced.

[0060] The beneficial effects of the above technical solution are: by pre-setting pressure, temperature and flow sensors, comprehensive monitoring of the real-time status of the user end is achieved, the accuracy and real-time nature of data collection are improved, and dynamic feedback of changes in user demand can be provided, thereby optimizing the control strategy of the valve, improving the response speed and stability of the heating system, and effectively reducing energy waste, enhancing the intelligence level of the system, and further promoting the efficiency and reliability of heating network management.

[0061] Example 3

[0062] The embodiment of the present invention provides a heat network user-side shut-off valve control system, a demand acquisition module, including:

[0063] Feature acquisition unit: extracts several initial features from the parameters of the user end, and analyzes the initial features to obtain several key features;

[0064] Model building unit: determining the demand forecasting model in a preset feature type-model database based on the feature type of the key feature, and then establishing the demand forecasting model;

[0065] Demand acquisition unit: inputs the user-side parameters collected in real time into the demand prediction model to obtain several user demands.

[0066] In this embodiment, the initial features are raw data extracted from the user-side parameters, including: user heat consumption: such as the total heat consumption of the user in a certain period of time, ambient temperature: the outside temperature affects the user's heating demand, time period information: such as the user's heat consumption in different time periods of the day (morning, afternoon, evening);

[0067] In this embodiment, key features are features extracted from initial features and analyzed to be considered to have a significant impact on user demand. For example: peak heat consumption: the maximum heat demand of users during high demand periods, temperature difference: a large difference in inlet and outlet water temperatures may indicate that the user's heating demand is changing, and historical heat usage patterns: the user's heat usage behavior patterns in the past few days or weeks, which helps predict future demand.

[0068] In this embodiment, the preset feature type-model database is a system containing various feature types and their corresponding models. For example: temperature feature: the corresponding model may be a linear model based on regression analysis, flow feature: there may be a prediction model based on time series analysis, comprehensive feature: a complex model may be established using a machine learning algorithm (such as a random forest or a neural network);

[0069] In this embodiment, the demand forecasting model is a model established based on key features and historical data, and is used to predict the user's future heat demand. For example: linear regression model: using historical heat usage data and ambient temperature to establish a linear relationship between user demand and these factors, time series model: analyzing the seasonal and cyclical fluctuations of the user's historical heat usage data to predict future demand, machine learning model: using complex algorithms such as random forests and support vector machines to make predictions based on multi-dimensional features to improve accuracy.

[0070] The beneficial effect of the above technical solution is that accurate prediction of user demand is achieved through the demand acquisition module. The system first extracts the initial features of the user end and analyzes the key features, and then builds a corresponding demand prediction model in the preset database. After the parameters collected in real time are input into the model, the multi-dimensional needs of users can be accurately obtained, the flexibility and accuracy of demand response are improved, the heating management is optimized, the resource utilization efficiency is improved, the user experience is significantly improved, and the operating costs are reduced.

[0071] Example 4

[0072] An embodiment of the present invention provides a heat network user-side shut-off valve control system, wherein user requirements include: user steam flow requirements, user steam pressure requirements, user steam temperature requirements, user time characteristic requirements, and user standby requirements.

[0073] In this embodiment, the user steam flow demand refers to the amount of steam required by the user within a specific time, usually expressed in volume flow (such as cubic meters per hour) or mass flow (such as kilograms per hour). Accurate prediction of flow demand is crucial for the optimization and regulation of the system. For example, in industrial production, steam flow directly affects production efficiency, so it needs to be dynamically adjusted according to production plans or actual working conditions;

[0074] In this embodiment, the user steam pressure demand refers to the pressure level of steam required by the user, usually expressed in Pascal (Pa) or Bar. Different industrial applications have different requirements for steam pressure. For example, some processes require high-pressure steam to ensure the effectiveness of the reaction, while other cases may require low-pressure steam to reduce energy consumption. The system needs to monitor and adjust the steam supply pressure in real time to meet user needs and ensure safety and efficiency;

[0075] In this embodiment, the user steam temperature requirement refers to the temperature of the steam required by the user, usually expressed in degrees Celsius (℃). The temperature of the steam directly affects its heat energy transfer efficiency. For example, in some heating or steam heating applications, the user may need the steam to reach a specific temperature to ensure the normal operation of the process. The system should be able to adjust the temperature of the steam according to the user's needs to maintain the best heat exchange effect;

[0076] In this embodiment, the user's time characteristic demand involves the changing pattern of the user's demand for steam in different time periods, including: peak period: the user's demand for steam increases significantly at a specific time (such as the morning peak or the evening peak), seasonal changes: according to seasonal changes (such as winter heating period and summer), the user's demand pattern for steam will also change;

[0077] In this embodiment, the user's backup demand refers to the additional steam supply required by the user to cope with emergencies or abnormal situations under normal operating conditions, in order to ensure that the production process will not be interrupted in the event of equipment failure or other unexpected situations.

[0078] The beneficial effects of the above technical solution are: by comprehensively considering the user's steam flow, pressure, temperature requirements, as well as time characteristics and backup requirements, precise control of the heating system is achieved, the adaptability and flexibility of the system are improved, and it is ensured that the specific needs of users are met under different working conditions, thereby optimizing resource allocation and energy utilization efficiency. At the same time, it can effectively reduce energy consumption and operating costs, improve user satisfaction, and promote the intelligent development of the heating industry.

[0079] Example 5

[0080] The embodiment of the present invention provides a heat network user side shutoff valve control system, a shutoff valve regulating module, including:

[0081] Coefficient determination unit: Determine the steam supply coefficient for each time period based on user demand:

[0082] Type acquisition unit: based on the steam flow demand of each user and the time characteristic demand of the user, the type of the regulating shut-off valve adapted to each user is acquired from the preset flow-time characteristic-shut-off valve model;

[0083] Classification unit: divides users into several demand levels based on their steam flow requirements and preset classification methods;

[0084] Parameter acquisition unit: obtains the opening and closing range and sensitivity of each type of regulating shut-off valve based on the preset manual;

[0085] Parameter setting unit: setting the opening and closing range and sensitivity of the corresponding regulating shut-off valve based on the demand level of each user and the opening and closing range and sensitivity of each type of regulating shut-off valve;

[0086] Regulation control unit: Based on the steam supply coefficient of each time period, the demand level of each user, the opening and closing range and sensitivity of each regulating shut-off valve, the regulation strategy is determined to regulate the shut-off valve.

[0087] In this embodiment, the steam supply coefficient is an adjustment factor that reflects the steam flow rate required by the user in a specific time period, based on the user's historical demand data and real-time demand forecast. For example, during the morning peak period, the user's steam demand may increase significantly, so the steam supply coefficient will be increased during this period to ensure that the user's demand is met. On the contrary, during periods of lower demand, the coefficient will be reduced accordingly, thereby optimizing the use of resources.

[0088] In this embodiment, the types of regulating shut-off valves include: ball valves, butterfly valves, gate valves, regulating valves, needle valves and electric valves.

[0089] In this embodiment, the user demand level is the result of classifying users based on their steam flow demand and time characteristic demand, and includes the following levels: High demand users: users with large steam flow demand and frequent changes in a specific time period. Example: large industrial enterprises need a lot of steam to support the operation of the production line during peak production hours (such as when starting work in the morning), medium demand users: users with relatively stable demand and moderate flow demand, example: medium-sized enterprises or factories, the steam demand does not fluctuate much during a day's work, and usually remains at a fixed level, low demand users: users with small demand and small demand fluctuations, example: small shops or residences, usually have low demand for steam in daily life, and demand changes are not frequent. Assume that there are three users A, B, and C, and their steam flow demand is as follows: User A (high demand): Flow demand: 1500kg / h during the morning peak period, and the demand fluctuates greatly. Time characteristics: the demand increases significantly between 8 and 10 a.m. on weekdays. User B (medium demand): flow demand: maintained at 800 kg / h throughout the day, with a small fluctuation range. Time characteristics: the demand is relatively uniform, and the demand does not change much in the morning, noon and evening on weekdays. User C (low demand): flow demand: the demand is below 200 kg / h at any time. Time characteristics: the demand changes little and basically remains at a low level.

[0090] In this embodiment, the preset classification method refers to a set of standards and rules for classifying users according to their steam flow requirements and time characteristic requirements in the shut-off valve control system on the user side of the heating network.

[0091] In this embodiment, the opening and closing range of the regulating shut-off valve refers to the flow range that the valve can adjust. For example, a certain type of regulating shut-off valve may allow steam flow adjustment from 0 to 1000 kg per hour. Sensitivity refers to the valve's ability to respond to flow changes. A highly sensitive valve can respond quickly to small changes in demand and maintain the stability of heating. For example, a highly sensitive valve can quickly adjust to adapt to changes when the flow demand changes from 500 kg per hour to 600 kg per hour.

[0092] In this embodiment, the regulation strategy is a specific regulation scheme formulated based on the user demand level, steam supply coefficient, opening and closing range and sensitivity. For example, for high-demand users, during the morning peak hours, the opening and closing range of the valve can be set to be maximized, and the sensitivity can be adjusted to ensure a quick response. Relatively speaking, for low-demand users, a lower flow rate and lower sensitivity can be set to avoid unnecessary energy waste.

[0093] The beneficial effect of the above technical solution is that the precise control of steam supply is achieved through the shut-off valve regulating module. The system comprehensively considers the flow demand and time characteristics of users, intelligently selects and adapts the regulating shut-off valve, and optimizes the valve parameters according to the demand level. The regulating control unit formulates the regulating strategy according to the dynamic steam supply coefficient and valve characteristics to ensure the optimal response sensitivity and opening and closing range of the valve. This intelligent regulation improves the efficiency and reliability of the heating system, effectively meets user needs and reduces energy consumption.

[0094] Example 6

[0095] The embodiment of the present invention provides a heat network user side shut-off valve control system, a coefficient determination unit, including:

[0096] Determine the steam supply coefficient for each time period based on the user's steam flow demand, user's steam pressure demand and user's time characteristic demand:

[0097]

[0098] Among them, C t is the steam supply coefficient of the user in time period t, Q t is the steam flow demand of the user in time period t, is the steam pressure demand of the user in time period t, is the time characteristic demand coefficient of the user in time period t, and Q s is the preset maximum steam flow rate that can be supplied, P s is the preset maximum steam pressure that can be supplied, is the weight coefficient of the user's steam flow demand in time period t, is the weight coefficient of the user's steam pressure demand in time period t, is the weight coefficient of the user's time characteristic demand coefficient in time period t, β t is the preset load ratio coefficient, and β t ∈[0,1].

[0099] In this embodiment, the preset maximum steam flow rate that can be supplied refers to the maximum steam flow rate that the system can safely and stably supply to the user within a specific time period. This parameter is usually set according to the design capacity of the heating network and the historical demand data of the user. For example, if the maximum supply capacity of the heating network is 1500kg / h, and the demand of a certain user is 1200kg / h during the peak period, then the preset maximum steam flow rate that can be supplied is 1500kg / h;

[0100] In this embodiment, the preset maximum steam pressure that can be supplied refers to the maximum steam pressure that the system can safely and stably supply to the user within a specific time period. This pressure value depends on the equipment capacity and safety standards of the heating network. For example, if the maximum steam pressure allowed by the equipment of the heating network is 8 Bar, and the pressure demand of the user within a certain time period is 6 Bar, then the preset maximum steam pressure that can be supplied is 8 Bar.

[0101] In this embodiment, the preset load ratio coefficient is a coefficient used to adjust the relationship between steam supply and demand. It reflects the system's ability to respond to user demand within a specific time period. For example, if the load ratio coefficient is set to 0.8, it means that the system plans to supply steam at 80% of its maximum capacity. The setting of this coefficient can be adjusted based on factors such as the operating efficiency of the system and the volatility of user demand to ensure the stability and reliability of the heating system.

[0102] The beneficial effects of the above technical solution are: by accurately calculating the steam supply coefficient in each time period, the user's flow, pressure demand and time characteristics, the dynamic allocation of heating resources is realized, the flexibility and response speed of the system are improved, and it is ensured that the needs of users in different time periods are met. At the same time, through the optimal configuration of the weight coefficient, the supply and demand are effectively balanced, the overall energy efficiency is improved, the energy consumption is reduced, and more intelligent thermal energy management is achieved.

[0103] Example 7

[0104] The embodiment of the present invention provides a heat network user-side shutoff valve control system and a pipeline optimization module, including:

[0105] Data analysis unit: real-time monitoring of user-side data after the shut-off valve is adjusted and analysis of the user-side data is performed to obtain the user demand value of each user;

[0106] Partition division unit: divides the heat network pipeline into several partitions based on the user demand value and user location of each user;

[0107] A coefficient determination unit: determines the load coefficient of each partition based on the user-side data, and determines the difference between the load coefficients of adjacent partitions;

[0108] First optimization unit: when the difference between the load coefficients of adjacent partitions is greater than a preset difference, a bypass pipeline is installed at the junction of the adjacent partitions where the difference between the load coefficients of adjacent partitions is greater than the preset difference, and the control valve is replaced with a control valve with higher sensitivity;

[0109] The second optimization unit: determines the total demand value of each partition based on the user demand value of each user, and when the total demand value of the partition is less than the preset demand value, a differential pressure regulating valve is installed on each pipeline in the partition.

[0110] In this embodiment, the user demand value refers to the demand for thermal energy (such as steam or hot water) provided by the heating network by each user within a specific time. It is collected by the real-time monitoring system and calculated based on the actual usage of the user. For example, user A needs 500kg / h of steam during a certain period in winter, while user B only needs 200kg / h of steam during the same period. The user demand values ​​are 500kg / h and 200kg / h respectively.

[0111] In this embodiment, the user location refers to the actual geographical location or pipeline location of each user in the heat network. The location of the user affects its heat demand and supply mode, which is directly related to the pipeline layout and optimization strategy. For example, in an urban heat network system, user A is located near the heat source, while user B is located at the edge of the system. This means that user A may be more likely to meet demand during peak demand, while user B may face the risk of insufficient heat supply.

[0112] In this embodiment, the partitioning is the process of classifying and dividing the heat network pipeline according to the user demand value and the user location. It is assumed that the heat network system has three main areas: area 1 contains high-demand users, area 2 is medium-demand users, and area 3 is low-demand users. According to the demand value and location of each user, the pipeline can be divided into these three partitions for better load management.

[0113] In this embodiment, the load factor refers to the proportional relationship between the heat energy demand in a certain area and the total heating capacity of the area. By calculating the load factor, the load condition of the system can be evaluated and subsequent optimization measures can be guided. If the total heat energy demand in a certain area is 1000kW, and the total heating capacity of the area is 1200kW, the load factor is 1000 / 1200=0.83, indicating that the heating capacity of the area is still sufficient.

[0114] In this embodiment, the preset difference is a threshold value set during system design, which is used to determine whether the difference in load factors between adjacent partitions exceeds the allowable range. This difference is used to guide the implementation of optimization measures. Assume that the preset difference set by the system is 0.2. If the load factors of adjacent partitions 1 and 2 are 0.8 and 0.5 respectively, the difference between them is 0.3, which exceeds the preset difference of 0.2, so measures need to be taken, such as installing a bypass pipeline and replacing a control valve with a higher sensitivity.

[0115] The beneficial effects of the above technical solution are: by real-time monitoring and analysis of user demand data, optimizing the partition division and load factor, effectively reducing the load difference between adjacent partitions, and improving the response speed and regulation accuracy of the system through the installation of bypass pipelines and highly sensitive control valves. In addition, the application of differential pressure regulating valves ensures the stability of the flow in low-demand partitions, and overall improves the operating efficiency and resource utilization of the heating network.

[0116] Example 8

[0117] The embodiment of the present invention provides a heat network user side shut-off valve control system, a coefficient determination unit, including:

[0118] Coefficient determination subunit: Determines the load coefficient of each partition based on the user-side data:

[0119]

[0120] Among them, F k is the load factor of partition k, Q k,i is the steam flow demand value of user i in the zone, P k,i is the steam pressure demand value of user i in zone k, N k is the total number of users in partition k, Q k,s is the preset maximum steam flow rate of zone k, P k,s The preset maximum steam pressure for zone k, D k,i is the distance from user i to the center of partition k, ω Q is the weight coefficient corresponding to the steam flow rate, ω P is the weight coefficient corresponding to the steam pressure, ω D is the weight coefficient corresponding to the distance, L k is the total length of partition k.

[0121] In this embodiment, the preset maximum steam flow rate is the maximum steam flow rate value that can be safely and efficiently supplied, which is set for each partition during the design stage of the heating network system. This value is usually determined based on the design requirements of the partition, the number of users and the fluid characteristics to ensure the stable operation of the system under the highest load state. Assume that the design requirements of partition k are to meet the steam needs of 10 users, and the maximum steam flow rate required by each user during the peak period is 100kg / h. Then the preset maximum steam flow rate of partition k can be set to 1000kg / h to meet the needs of all users and leave a certain safety margin;

[0122] In this embodiment, the distance from a user to the partition center refers to the physical distance between a user location and the partition center. This distance will affect the steam delivery efficiency and heat loss. If user A is 100 meters away from the partition center, and user B is 250 meters away from the partition center, then their respective distances are 100 meters and 250 meters respectively. The longer the distance, the longer the time it takes for steam to reach the user and the higher the heat loss may be.

[0123] In this embodiment, the total length of a partition refers to the total length of all pipes in the partition. This value is usually used to calculate the transmission efficiency and pressure loss of the fluid in the pipe. Assuming that the total length of the pipe in partition k is 500 meters, the fluid transmission characteristics of these 500 meters need to be considered when designing the heating system.

[0124] The beneficial effects of the above technical solution are: by accurately calculating the load factor of each partition, optimizing the steam supply based on user demand, distance and preset parameters, the heating efficiency of the system is improved, energy consumption is reduced, and the heating differences between users are effectively reduced. The stability and flexibility of the heating network are enhanced, thereby achieving more intelligent thermal energy management.

[0125] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0126] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0127] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A heat network user-side shut-off valve control system, characterized in that: include: Parameter collection module: Install preset sensors on the user side to collect the parameters of the user side in real time; Demand acquisition module: analyzes the parameters of the user end to obtain user needs; Shut-off valve adjustment module: Analyzes user needs and adjusts the shut-off valve based on the analysis results; Pipeline optimization module: real-time monitoring and analysis of user-end data after regulating the shut-off valve, and optimization of the pipeline based on the analysis results; Parameter adjustment module: Continuously monitor user-side data, perform real-time analysis on the user-side data, and adjust the shut-off valve's regulation parameters based on the analysis results.

2. A heat network user-side shutoff valve control system according to claim 1, characterized in that: Preset sensors include: pressure sensor, temperature sensor and flow sensor.

3. A heat network user-side shutoff valve control system according to claim 1, characterized in that: Demand acquisition module, including: Feature acquisition unit: extracts several initial features from the parameters of the user end, and analyzes the initial features to obtain several key features; Model building unit: determining the demand forecasting model in a preset feature type-model database based on the feature type of the key feature, and then establishing the demand forecasting model; Demand acquisition unit: inputs the user-side parameters collected in real time into the demand prediction model to obtain several user demands.

4. A heat network user-side shutoff valve control system according to claim 2, characterized in that: User requirements include: user steam flow requirements, user steam pressure requirements, user steam temperature requirements, user time characteristic requirements and user backup requirements.

5. A heat network user-side shutoff valve control system according to claim 1, characterized in that: Shut-off valve regulating module, including: Coefficient determination unit: Determine the steam supply coefficient for each time period based on user demand: Type acquisition unit: based on the steam flow demand of each user and the time characteristic demand of the user, the type of the regulating shut-off valve adapted to each user is acquired from the preset flow-time characteristic-shut-off valve model; Classification unit: divides users into several demand levels based on their steam flow requirements and preset classification methods; Parameter acquisition unit: obtains the opening and closing range and sensitivity of each type of regulating shut-off valve based on the preset manual; Parameter setting unit: setting the opening and closing range and sensitivity of the corresponding regulating shut-off valve based on the demand level of each user and the opening and closing range and sensitivity of each type of regulating shut-off valve; Regulation control unit: Based on the steam supply coefficient of each time period, the demand level of each user, the opening and closing range and sensitivity of each regulating shut-off valve, the regulation strategy is determined to regulate the shut-off valve.

6. A heat network user-side shutoff valve control system according to claim 3, characterized in that: Coefficient determination unit, including: Determine the steam supply coefficient for each time period based on the user's steam flow demand, user's steam pressure demand and user's time characteristic demand: Among them, C t is the steam supply coefficient of the user in time period t, Q t is the steam flow demand of the user in time period t, is the steam pressure demand of the user in time period t, is the time characteristic demand coefficient of the user in time period t, and Q s is the preset maximum steam flow rate that can be supplied, P s is the preset maximum steam pressure that can be supplied, is the weight coefficient of the user's steam flow demand in time period t, is the weight coefficient of the user's steam pressure demand in time period t, is the weight coefficient of the user's time characteristic demand coefficient in time period t, β t is the preset load ratio coefficient, and β t ∈[0,1].

7. A heat network user-side shutoff valve control system according to claim 1, characterized in that: Pipeline optimization module, including: Data analysis unit: real-time monitoring of user-side data after the shut-off valve is adjusted and analysis of the user-side data is performed to obtain the user demand value of each user; Partition division unit: divides the heat network pipeline into several partitions based on the user demand value and user location of each user; A coefficient determination unit: determines the load coefficient of each partition based on the user-side data, and determines the difference between the load coefficients of adjacent partitions; First optimization unit: when the difference between the load coefficients of adjacent partitions is greater than a preset difference, a bypass pipeline is installed at the junction of the adjacent partitions where the difference between the load coefficients of adjacent partitions is greater than the preset difference, and the control valve is replaced with a control valve with higher sensitivity; The second optimization unit: determines the total demand value of each partition based on the user demand value of each user, and when the total demand value of the partition is less than the preset demand value, a differential pressure regulating valve is installed on each pipeline in the partition.

8. A heat network user-side shutoff valve control system according to claim 7, characterized in that: Coefficient determination unit, including: Coefficient determination subunit: Determines the load coefficient of each partition based on the user-side data: Among them, F k is the load factor of partition k, Q k,i is the steam flow demand value of user i in the zone, P k,i is the steam pressure demand value of user i in zone k, N k is the total number of users in partition k, Q k,s is the preset maximum steam flow rate of zone k, P k,s The preset maximum steam pressure for zone k, D k,i is the distance from user i to the center of partition k, ω Q is the weight coefficient corresponding to the steam flow rate, ω P is the weight coefficient corresponding to the steam pressure, ω D is the weight coefficient corresponding to the distance, L k is the total length of partition k.

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