Hydraulic balance monitoring and fault diagnosis system for efficient heat supply pipe network

Abstract

The invention discloses an efficient heat supply pipe network hydraulic balance monitoring and fault diagnosis system, which relates to the technical field of heat supply systems, and comprises a heat supply pipe network information acquisition module used for acquiring operation parameters in a heat supply pipe network, including the temperature, pressure and flow of the pipe network; and the heat supply pipe network information analysis module is electrically connected with the heat supply pipe network information acquisition module. According to the efficient heat supply pipe network hydraulic balance monitoring and fault diagnosis system provided by the invention, the heat supply pipe network information acquisition module acquires the operation parameters in the pipe network in real time, and the heat supply pipe network information analysis module is combined for preprocessing and algorithm evaluation, so that the real-time monitoring and accurate evaluation of the hydraulic balance state of the heat supply pipe network can be realized; therefore, stable operation of the heat supply system is ensured, the operation efficiency and the heat supply quality of the heat supply system are improved, meanwhile, energy waste is reduced, and the purposes of saving energy and reducing consumption are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of heating systems, and more particularly to an efficient hydraulic balance monitoring and fault diagnosis system for heating pipe networks. Background Art

[0002] In existing heating systems, the hydraulic balance of the heating pipe network is a key factor in ensuring heating quality and efficiency. However, due to the usually large scale and complex structure of the heating pipe network, combined with the diversity and uncertainty of the operating environment, it is often difficult for the heating pipe network to reach an ideal hydraulic balance state during actual operation. This not only affects the heating effect of the heating system, but also increases energy consumption and operating costs, and may even pose a threat to the stability and safety of the pipe network. Traditional methods for monitoring the hydraulic balance and diagnosing faults in heating pipe networks mainly rely on manual inspections and empirical judgments. This method is not only inefficient, but also difficult to comprehensively and accurately reflect the actual operating state of the pipe network. In addition, with the continuous expansion of the scale of heating pipe networks and the widespread application of new technologies and new materials in heating systems, traditional monitoring and diagnosis methods can no longer meet the needs of modern heating systems. For this reason, we propose an efficient hydraulic balance monitoring and fault diagnosis system for heating pipe networks. Summary of the Invention

[0003] To solve the above technical problems and provide an efficient hydraulic balance monitoring and fault diagnosis system for heating pipe networks, this technical solution solves the above problems.

[0004] To achieve the above object, the technical solution adopted by the present invention is as follows:

[0005] An efficient hydraulic balance monitoring and fault diagnosis system for heating pipe networks, comprising:

[0006] A heating pipe network information collection module, which is used to collect the operating parameters in the heating pipe network, including the temperature, pressure and flow rate of the pipe network;

[0007] A heating pipe network information analysis module, which is electrically connected to the heating pipe network information collection module. The heating pipe network information analysis module is used to preprocess the received data and evaluate the hydraulic balance through algorithms;

[0008] A fault diagnosis module, which is electrically connected to the heating pipe network information collection module and the heating pipe network information analysis module. The fault diagnosis module is used to automatically identify and diagnose the fault type in the heating pipe network according to the result output by the heating pipe network information analysis module;

[0009] An alarm and notification module, which is electrically connected to the fault diagnosis module. The alarm and notification module is used to send alarm notifications to multiple channels for the detected faults and provide information about the occurring faults;

[0010] A data storage and management module, which is electrically connected to the heat supply pipe network information collection module, the heat supply pipe network information analysis module, the fault diagnosis module and the alarm and notification module. The data storage and management module is used to store and manage all the collected data, analysis results and fault records.

[0011] Preferably, the heat supply pipe network information collection module includes:

[0012] A sensing unit, which is used to obtain the temperature, pressure and flow parameters in the pipe network in real time and transmit the data to the data collection unit in real time;

[0013] A data collection unit, which is used to receive data from the sensing unit and convert the analog signal into a digital signal;

[0014] A data transmission unit, which is used to transmit the data processed by the data collection unit to the heat supply pipe network information analysis module;

[0015] A safety protection unit, which is used to protect the heat supply pipe network information collection module from external environmental interference and damage, including waterproofing, dustproofing and lightning protection;

[0016] An expansion interface unit, which is used for system upgrade and expansion, and for the access and communication with other devices.

[0017] Preferably, the heat supply pipe network information analysis module includes:

[0018] A data preprocessing unit, which is used to clean and denoise the received raw data;

[0019] A hydraulic balance evaluation unit, which is used to use an algorithm model to evaluate the hydraulic balance state of the current heat supply pipe network according to the preprocessed data.

[0020] Preferably, the method for evaluating the hydraulic balance state is:

[0021] Obtain the topological structure of the heat supply pipe network from the heat supply company, including the length, diameter, material and connection method of the pipeline;

[0022] Obtain and determine the positions and characteristics of heat sources, users, branch points and confluence points in the pipe network from the heat supply company;

[0023] Obtain the heat load and designed flow information of users from the heat supply company;

[0024] Based on the real-time monitoring data of the pipe network preprocessed by the data preprocessing unit, including the supply water temperature and flow of the heat source;

[0025] Calculate the frictional head loss of the pipeline according to the material, diameter and length of the pipeline;

[0026] Establish the flow balance equation and energy balance equation at the nodes, and combine the models of each pipeline and node to form the physical model of the entire heat supply network;

[0027] Allocate the initial flow rate for each user in the network according to the designed flow rate of the user;

[0028] Use the flow balance equation and energy balance equation, combined with the resistance loss formula of the pipeline, to perform iterative calculations;

[0029] In each iteration, calculate the pressure and flow velocity at each point in the network with the current flow rate, and continuously adjust the flow rate of each node to make the heat supply pipeline reach the hydraulic balance state;

[0030] According to the calculation results, calculate the hydraulic imbalance degree of each node based on the real-time monitoring data obtained in the network;

[0031] Set the scoring criteria according to the calculation results of the hydraulic imbalance degree.

[0032] Preferably, the calculation formula for calculating the frictional head loss of the pipeline is:

[0033]

[0034] In the formula, h represents the frictional head loss, f represents the friction coefficient, L represents the pipeline length, D represents the pipeline diameter, V represents the average flow velocity of the fluid in the pipeline, and g represents the acceleration due to gravity.

[0035] Preferably, the flow balance equation and energy balance equation established at the nodes are respectively:

[0036] Among them, the flow balance equation is:

[0037] ∑ i∈inlets q i =∑ j∈outlets q j

[0038] In the formula, q i represents the flow rate q of the i-th inflow node, q j represents the flow rate q of the j-th outflow node, inlets represents the inflow nodes, and outlets represents the outflow nodes;

[0039] Among them, the energy balance equation is:

[0040] Z in +Z gen =Z out +Z loss

[0041] In the formula, Z represents the heat flux, where Z in represents the heat flux entering the node, and Z gen represents the heat flux generated at the node, and Z out represents the heat flux leaving the node, and Z loss represents the heat flux lost at the node;

[0042] The heat flux Z is calculated through the temperature and mass of the fluid, and the calculation formula is:

[0043] Z = c p mΔT

[0044] In the formula, c p represents the specific heat capacity at constant pressure c of fluid p, m represents the mass flow rate, and ΔT represents the temperature difference.

[0045] Preferably, the scoring criteria are:

[0046] Good: The heating pipeline is basically in a hydraulic balance state, and the hydraulic design of the heating system is reasonable;

[0047] Average: There is a hydraulic imbalance in the heating pipeline, but it does not affect the overall operation;

[0048] Poor: The heating pipeline is hydraulically unbalanced, and there are obvious defects in the hydraulic design of the heating system, affecting the performance and operation efficiency of the heating system.

[0049] Preferably, the method for the fault diagnosis module to automatically identify and diagnose the fault type is:

[0050] Based on the real-time monitoring data of the heating pipe network obtained by the heating pipe network information acquisition module;

[0051] Based on the hydraulic balance evaluation results transmitted by the heating pipe network information analysis module;

[0052] According to the hydraulic balance evaluation results, compare the real-time operation parameters with the normal operation parameters, and analyze whether there are abnormal fluctuations in the real-time parameters, including abnormal reduction in flow rate, abnormal pressure fluctuations, and uneven temperature distribution;

[0053] According to the situation of the heating pipe network, construct a fault diagnosis model based on a neural network, and use historical fault data and normal operation data to train the diagnosis model, and evaluate the model performance through cross-validation;

[0054] Input the preprocessed real-time data into the trained diagnosis model, and output the fault type, fault location, and fault cause through the diagnosis model.

[0055] Preferably, after the fault diagnosis module diagnoses a problem in the heat supply pipe network, it transmits the diagnosis result to the alarm and notification module. The alarm and notification module notifies the relevant departments of the fault information through the network. After the problem is solved, by restarting the heat supply pipe network information collection module of the problem node and obtaining information again, the system determines that the hydraulic balance in the pipe network is normal and automatically cancels the alarm.

[0056] Preferably, the data storage and management module includes:

[0057] A database management unit, which is used for the functions of data organization, storage, retrieval, and maintenance, allowing users to access and modify data efficiently;

[0058] A data storage unit, which is used for actually storing the collected data, analysis results, and fault records;

[0059] A data backup and recovery unit, which is used for backing up data to external storage media and the cloud.

[0060] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0061] The high-efficiency heat supply pipe network hydraulic balance monitoring and fault diagnosis system proposed by the present invention can obtain the operation parameters in the pipe network in real time through the heat supply pipe network information collection module, and through the heat supply pipe network information analysis module for preprocessing and algorithm evaluation, it can realize the real-time monitoring and accurate evaluation of the hydraulic balance state of the heat supply pipe network, thus ensuring the stable operation of the heat supply system. Based on the real-time monitoring data and the hydraulic balance evaluation results, the fault diagnosis module uses the fault diagnosis model constructed by the neural network to automatically identify and diagnose the fault type, location, and cause in the heat supply pipe network, improving the accuracy and efficiency of fault diagnosis. After detecting a fault, the alarm and notification module can quickly send alarm notifications to multiple channels and provide detailed fault information, which helps the relevant departments to respond and handle the fault in a timely manner, reducing the impact of the fault on the heat supply system. By real-time monitoring and evaluating the hydraulic balance state of the heat supply pipe network, timely discovering and solving the hydraulic imbalance problem helps to improve the operation efficiency and heat supply quality of the heat supply system, while reducing energy waste and achieving the goal of energy conservation and consumption reduction. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Figure 1 is the framework diagram of the high-efficiency heat supply pipe network hydraulic balance monitoring and fault diagnosis system;

[0063] Figure 2 is the framework diagram of the heat supply pipe network information collection module;

[0064] Figure 3 is the framework diagram of the heat supply pipe network information analysis module;

[0065] Figure 4It is a framework diagram of the data storage and management module. Detailed implementation manners

[0066] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments in the following description are only examples, and those skilled in the art can think of other obvious variants.

[0067] Referring to Figure 1 As shown, the high-efficiency heating pipe network hydraulic balance monitoring and fault diagnosis system includes:

[0068] The heating pipe network information acquisition module, which is the cornerstone of the system, is responsible for comprehensively and accurately acquiring key operation parameters in the heating pipe network. It integrates a high-precision sensor network covering all key nodes of the pipe network, including but not limited to the heat source outlet, each branch pipe, and user terminals. These sensors can monitor and record temperature, pressure, flow rate, and other physical quantities in real time. Through wireless or wired communication technologies, these data are transmitted to the central processing unit in real time, providing basic data support for subsequent analysis;

[0069] The heating pipe network information analysis module, after receiving the data from the information acquisition module, first performs data cleaning and verification to ensure the accuracy and integrity of the data. Subsequently, it uses advanced data analysis algorithms to evaluate the hydraulic balance state. These algorithms can identify uneven flow distribution and abnormal pressure loss in the pipe network, and calculate the resistance coefficient and flow deviation of each section of the pipe network, providing a basis for hydraulic balance adjustment. At the same time, this module also has a historical data comparison function, which can track the change trend of the pipe network performance and early warning of potential problems;

[0070] The fault diagnosis module, based on the output results of the information analysis module, uses intelligent diagnosis technology to automatically identify and diagnose faults in the heating pipe network. It can quickly locate the fault type, determine the fault location, and preliminarily analyze the cause of the fault. In addition, this module also has a fault prediction function. By analyzing historical data and current operating conditions, it predicts possible future faults, providing decision support for preventive maintenance;

[0071] The alarm and notification module, once a fault or abnormal condition is detected, will be immediately activated, and send alarm notifications to relevant personnel through multiple channels. The notification content not only includes the fault type and location, but also includes the fault impact range and emergency handling suggestions, so that relevant personnel can respond quickly and take measures. This module also supports custom alarm strategies to meet the needs in different scenarios;

[0072] The data storage and management module, as the data center of the system, is responsible for storing all the collected data, analysis results, fault records, and user operation logs. It adopts efficient data storage technologies to ensure the rapid access and long-term preservation of data. At the same time, this module also provides data query, analysis, and management functions, supporting users to customize reports according to their needs and conduct data mining. In addition, to ensure data security, this module also adopts encrypted storage and access control to prevent data leakage and illegal access.

[0073] Refer to Figure 2 As shown, the heat supply network information collection module includes:

[0074] The sensing unit, which is deployed at key positions of the pipe network, such as heat sources, pump stations, branch nodes, and user terminals. The sensing unit is used to obtain temperature, pressure, and flow parameters in the pipe network in real time and transmit the data to the data collection unit in real time;

[0075] The data collection unit is used to receive data from the sensing unit and convert these analog signals into digital signals through an analog-to-digital converter, ensuring the digitization and standardization of data, which is convenient for subsequent processing and analysis. The data collection unit also has a signal conditioning function to improve the signal-to-noise ratio and accuracy of the data;

[0076] The data transmission unit is used to transmit the data processed by the data collection unit to the heat supply network information analysis module. It supports multiple communication protocols and interface standards to adapt to different network environments and communication requirements;

[0077] The security protection unit is an important part to ensure the stable operation of the heat supply network information collection module. The security protection unit is used to protect the heat supply network information collection module from external environmental interference and damage, including waterproofing, dustproofing, and lightning protection. The security protection unit also includes overload protection, short-circuit protection, as well as electromagnetic shielding and anti-static design to ensure the safe and stable operation of the module in a harsh environment;

[0078] The expansion interface unit provides flexible system upgrade and expansion capabilities for the heat supply network information collection module. The expansion interface unit is used for system upgrade and expansion, and for the access and communication with other devices.

[0079] Refer to Figure 3 As shown, the heat supply network information analysis module includes:

[0080] The data preprocessing unit is used to clean and denoise the received raw data, identify and remove outliers, missing values, or duplicate records in the data, and effectively reduce noise interference through smoothing processing to improve the signal-to-noise ratio of the data, providing more accurate data support for subsequent analysis;

[0081] A hydraulic balance assessment unit, which is used to construct a hydraulic model according to the physical characteristics and operation rules of the heat supply network, and use an algorithm model to evaluate the hydraulic balance state of the current heat supply network based on the preprocessed data. The evaluation content includes the pressure distribution, flow distribution and heat loss of the network, as well as whether there are problems of hydraulic imbalance and energy waste.

[0082] The method for evaluating the hydraulic balance state is as follows:

[0083] Obtain the topological structure of the heat supply network from the heat supply company, including the length, diameter, material and connection method of the pipeline, which are the basis for constructing the physical model of the network;

[0084] Obtain and determine the positions and characteristics of heat sources, users, branch points and confluence points in the network from the heat supply company;

[0085] Through the user data of the heat supply company, obtain the heat load demand and design flow information of each user, which are important bases for allocating the initial flow and performing hydraulic balance calculations. The accurate estimation of user loads is of great significance for ensuring the reasonable distribution of heat energy in the network and reducing energy waste;

[0086] Based on the real-time monitoring data of the network preprocessed by the data preprocessing unit, including the supply water temperature and flow of the heat source;

[0087] Calculate the frictional resistance loss of the pipeline according to the material, diameter and length of the pipeline;

[0088] Establish a flow balance equation and an energy balance equation at the nodes, and combine the models of each pipeline and node to form the physical model of the entire heat supply network. The flow balance equation ensures that at each node in the network, the inflow flow is equal to the outflow flow, and the energy balance equation takes into account the transmission and loss of heat energy in the network;

[0089] Allocate the initial flow for each user in the network according to the design flow of the user;

[0090] Use the flow balance equation and the energy balance equation, combined with the resistance loss formula of the pipeline, to perform iterative calculations;

[0091] In each iteration, calculate the pressure and flow velocity at each point in the network with the current flow, and continuously adjust the flow of each node to make the heat supply pipeline reach the hydraulic balance state;

[0092] According to the calculation results and the real-time monitoring data obtained in the network, calculate the hydraulic imbalance degree of each node;

[0093] Set the scoring criteria according to the calculation results of the hydraulic imbalance degree.

[0094] The calculation formula for the frictional head loss of the pipeline is as follows:

[0095]

[0096] In the formula, h represents the frictional head loss, f represents the friction coefficient, L represents the pipeline length, D represents the pipeline diameter, V represents the average flow velocity of the fluid in the pipeline, and g represents the acceleration due to gravity.

[0097] The flow balance equation and the energy balance equation established at the node are respectively:

[0098] Among them, the flow balance equation is:

[0099] ∑ i∈inlets q i =∑ j∈outlets q j

[0100] In the formula, q i represents the flow rate q of the i-th inflow node, q j represents the flow rate q of the j-th outflow node, inlets represents the inflow nodes, and outlets represents the outflow nodes;

[0101] Among them, the energy balance equation is:

[0102] Z in +Z gen =Z out +Z loss

[0103] In the formula, Z represents the heat flow rate, Z in represents the heat flow rate entering the node, Z gen represents the heat flow rate generated at the node, Z out represents the heat flow rate leaving the node, Z loss represents the heat flow rate lost at the node;

[0104] The heat flow rate Z is calculated through the temperature and mass of the fluid, and the calculation formula is:

[0105] Z=c p mΔT

[0106] In the formula, c p represents the specific heat capacity at constant pressure c of fluid p, m represents the mass flow rate, and ΔT represents the temperature difference.

[0107] The scoring criteria are as follows:

[0108] Good, the heating pipeline is basically in a hydraulic balance state, and the hydraulic design of the heating system is reasonable;

[0109] General, there is a hydraulic imbalance in the heating pipeline, but it does not affect the overall operation;

[0110] Poor, the hydraulic imbalance of the heating pipeline, and there are obvious defects in the hydraulic design of the heating system, which affect the performance and operation efficiency of the heating system.

[0111] The method for the fault diagnosis module to automatically identify and diagnose the fault type is as follows:

[0112] Based on the real-time monitoring data of the heating pipe network obtained by the heating pipe network information collection module, these data include but are not limited to the flow rate, pressure, temperature of each node of the pipe network, and the operation status of the heat source;

[0113] Based on the hydraulic balance evaluation result transmitted by the heating pipe network information analysis module;

[0114] According to the hydraulic balance evaluation result, compare the real-time operation parameters with the normal operation parameters, and analyze whether there are abnormal fluctuations in the real-time parameters, including abnormal reduction in flow rate, abnormal pressure fluctuation, and uneven temperature distribution. Once an abnormality is found, the system will automatically trigger the fault diagnosis process;

[0115] According to the situation of the heating pipe network, build a fault diagnosis model based on a neural network, and use historical fault data and normal operation data to train the diagnosis model. By learning to identify the fault characteristics in the pipe network, the accurate classification of the fault type can be realized, and the performance of the model is evaluated by the method of cross-validation to ensure its stability and accuracy under different working conditions;

[0116] Input the preprocessed real-time data into the trained diagnosis model, and output the fault type, fault location, and fault cause through the diagnosis model. Finally, the diagnosis result will be presented to the operation and maintenance personnel in an intuitive way, including a fault report, a fault location map, and maintenance suggestions, so as to quickly locate the problem and take corresponding measures.

[0117] After the fault diagnosis module diagnoses the problem of the heating pipe network, it will immediately encapsulate the diagnosis result into a standardized information packet and transmit it to the alarm and notification module through the communication protocol inside the system. The alarm and notification module will immediately start the alarm process, and notify the relevant departments of the fault information through the network according to the preset alarm rules. After the problem is processed, by restarting the heating pipe network information collection module of the problem node, after obtaining the real-time operation data after restart, the system will re-evaluate the hydraulic balance state of the pipe network through the heating pipe network information analysis module. If the evaluation result shows that the hydraulic balance in the pipe network has returned to normal and all operation parameters meet the preset standard range, the system will automatically trigger the alarm cancellation process.

[0118] Refer to Figure 4 As shown, the data storage and management module includes:

[0119] Database Management Unit, which is used for data organization, storage, retrieval, and maintenance functions, allowing users to access and modify data efficiently. It not only provides the design of the data organizational structure to ensure that data is stored in a logically clear and easily retrievable manner but also implements an efficient indexing mechanism to accelerate the query and access speed of data;

[0120] Data Storage Unit, which is used to actually store the collected data, analysis results, and fault records;

[0121] Data Backup and Recovery Unit, which is used to back up data to external storage media and the cloud. During the backup process, this unit will perform data consistency checks to ensure that the backed-up data is complete and accurate.

[0122] The usage process of the present invention is as follows: Start the efficient heat supply network monitoring and diagnosis system. The sensing unit collects the operation data of the network in real time, converts it into digital signals, and then transmits it to the analysis module. The received data is preprocessed, and the algorithm model is used to evaluate the hydraulic balance state of the network, calculate the node imbalance degree and score, compare the real-time and normal operation parameters, identify abnormal fluctuations, diagnose the fault type, location, and cause through the neural network model. After a fault is detected, alarm notifications are sent through multiple channels, providing detailed fault information. After the relevant departments receive the notification, they handle the fault, restart the information collection, re-evaluate the hydraulic balance, cancel the alarm after confirming that the fault is resolved, and the system automatically stores the collected data, analysis results, and fault records to ensure data security, accessibility, and recoverability.

[0123] In summary, the advantages of the present invention are as follows: It integrates functions of real-time monitoring, precise diagnosis, timely alarm, data storage and management, and system expansion and upgrade, significantly improving the stability, reliability, and operation efficiency of the heat supply system. By collecting and analyzing the network data in real time, it realizes the precise evaluation of the hydraulic balance state and the rapid diagnosis of faults. At the same time, it supports multi-channel alarm notifications and efficient data management, promoting energy conservation and consumption reduction. This system not only enhances the intelligent and information level of the heat supply system but also has important significance for promoting the sustainable development of the heat supply industry.

[0124] The above shows and describes the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. What is described in the above embodiments and the specification is only the principle of the present invention. Without departing from the spirit and scope of the present invention, there will be various changes and improvements to the present invention, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection required by the present invention is defined by the appended claims and their equivalents.

Claims

1. High-efficiency heating network hydraulic balance monitoring and fault diagnosis system, characterized by: include: The heating network information collection module is used to collect the operating parameters of the heating network, including the temperature, pressure and flow of the network; A heating network information analysis module, the heating network information analysis module is electrically connected to the heating network information acquisition module, and the heating network information analysis module is used to pre-process the received data and evaluate the hydraulic balance through an algorithm; A fault diagnosis module, the fault diagnosis module is electrically connected to the heating pipe network information acquisition module and the heating pipe network information analysis module, and the fault diagnosis module is used to automatically identify and diagnose the fault type in the heating pipe network according to the result output by the heating pipe network information analysis module; An alarm and notification module, the alarm and notification module is electrically connected to the fault diagnosis module, and is used to send alarm notifications to multiple channels for detected faults and provide information about the faults; A data storage and management module, which is electrically connected to the heating network information acquisition module, the heating network information analysis module, the fault diagnosis module and the alarm and notification module, and is used to store and manage all collected data, analysis results and fault records.

2. The high-efficiency heating network hydraulic balance monitoring and fault diagnosis system according to claim 1 is characterized in that: The heating network information collection module includes: The sensing unit is used to obtain the temperature, pressure and flow parameters in the pipe network in real time, and transmit the data to the data acquisition unit in real time; A data acquisition unit, the data acquisition unit is used to receive data from the sensor unit and convert the analog signal into a digital signal; A data transmission unit, the data transmission unit is used to transmit the data processed by the data acquisition unit to the heating network information analysis module; Safety protection unit, which is used to protect the heating network information collection module from external environmental interference and damage, including waterproofing, dustproofing and lightning protection; Expansion interface unit: The expansion interface unit is used for system upgrade and expansion, access and communication with other devices.

3. The high-efficiency heating network hydraulic balance monitoring and fault diagnosis system according to claim 1 is characterized in that: The heating network information analysis module includes: A data preprocessing unit, which is used to clean and denoise the received raw data; The hydraulic balance assessment unit is used to use an algorithm model to assess the hydraulic balance status of the current heating network based on preprocessed data.

4. The high-efficiency heating network hydraulic balance monitoring and fault diagnosis system according to claim 3 is characterized in that: The methods used to assess the hydraulic balance state are: Obtain the topology of the heating network from the heating company, including the length, diameter, material and connection method of the pipes; Obtain and determine the location and characteristics of heat sources, users, branch points and junctions in the network from the heating company; Obtain the user's heat load and design flow information from the heating company; Based on the real-time monitoring data of the pipe network preprocessed by the data preprocessing unit, including the water supply temperature and flow rate of the heat source; Calculate the resistance loss along the pipeline based on the material, diameter and length of the pipeline; Establish flow balance equations and energy balance equations at the nodes, combine the models of each pipeline and node, and form a physical model of the entire heating network; Allocate initial flow to each user in the pipe network according to the user's designed flow; Use the flow balance equation and energy balance equation, combined with the pipeline resistance loss formula, to perform iterative calculations; In each iteration, the pressure and flow rate of each point in the current flow calculation network are calculated, and the flow of each node is continuously adjusted to make the heating pipeline reach a hydraulic balance state; Based on the calculation results, the hydraulic imbalance of each node is calculated according to the real-time monitoring data obtained in the pipe network; The scoring criteria are set based on the hydraulic imbalance calculation results.

5. The high-efficiency heating network hydraulic balance monitoring and fault diagnosis system according to claim 4 is characterized in that: The calculation formula for calculating the resistance loss along the pipeline is: Where h represents the resistance loss along the way, f represents the friction coefficient, L represents the length of the pipeline, D represents the diameter of the pipeline, V represents the average flow velocity of the fluid in the pipeline, and g represents the acceleration of gravity.

6. The high-efficiency heating network hydraulic balance monitoring and fault diagnosis system according to claim 4 is characterized in that: The flow balance equation and energy balance equation established at the node are: The flow balance equation is: In the formula, q i represents the flow q of the i-th inflow node, q j represents the flow q of the jth outflow node, inlets represents the inflow node, and outlets represents the outflow node; The energy balance equation is: WITH in +Z gen =Z out +Z loss Where Z represents the heat flow, Z in represents the heat flux entering the node, Z gen represents the heat flux generated at the node, Z out represents the heat flux leaving the node, Z loss represents the heat flux lost at the node; The heat flow Z is calculated by the temperature and mass of the fluid, and the calculation formula is: Z=c p mΔT In the formula, c p represents the constant pressure specific heat capacity c of the fluid p, m represents the mass flow rate, and ΔT represents the temperature difference.

7. The high-efficiency heating network hydraulic balance monitoring and fault diagnosis system according to claim 4 is characterized in that: The scoring criteria are: Good, the heating pipes are basically in a hydraulic balance state, and the hydraulic design of the heating system is reasonable; Generally, there is hydraulic imbalance in the heating pipeline, but it does not affect the overall operation; The heating pipes are hydraulically unbalanced and there are obvious defects in the hydraulic design of the heating system, which affects the performance and operating efficiency of the heating system.

8. The high-efficiency heating network hydraulic balance monitoring and fault diagnosis system according to claim 1 is characterized in that: The method by which the fault diagnosis module automatically identifies and diagnoses the fault type is: Real-time monitoring data of the heating network obtained based on the heating network information collection module; Hydraulic balance assessment results transmitted based on the heating network information analysis module; Based on the hydraulic balance assessment results, compare the real-time operating parameters with the normal operating parameters and analyze whether there are abnormal fluctuations in the real-time parameters, including abnormal flow reduction, abnormal pressure fluctuations, and uneven temperature distribution; According to the situation of the heating network, a fault diagnosis model is built based on a neural network, and the diagnosis model is trained using historical fault data and normal operation data. The model performance is evaluated through cross-validation. The preprocessed real-time data is input into the trained diagnostic model, and the fault type, fault location and fault cause are output through the diagnostic model.

9. The high-efficiency heating network hydraulic balance monitoring and fault diagnosis system according to claim 1 is characterized in that: After diagnosing the problem of the heating network, the fault diagnosis module transmits the diagnosis result to the alarm and notification module. The alarm and notification module notifies the relevant departments of the fault information through the network. After the problem is resolved, the heating network information collection module of the problem node is restarted and the information is re-acquired. The system determines that the hydraulic balance in the network is normal and automatically cancels the alarm.

10. The high-efficiency heating network hydraulic balance monitoring and fault diagnosis system according to claim 1, characterized in that: The data storage and management modules include: Database management unit, which is used for data organization, storage, retrieval and maintenance functions, allowing users to access and modify data efficiently; A data storage unit, which is used to actually store the collected data, analysis results and fault records; Data backup and recovery unit,The data backup and recovery unit is used to back up data to external storage media and the cloud.

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