Maintenance and management method for efficient heat preservation and filtration heat supply pipe network

Abstract

The invention discloses a heat supply pipe network maintenance and management method for efficient heat preservation and filtration, and relates to the technical field of heat supply pipe network maintaining.The maintenance method comprises the steps that basic information of a heat supply pipe network is obtained, and a target parameter range of the heat supply pipe network is set and maintained; the state of a pipe network system is monitored in real time based on the Internet of Things technology, and the heat preservation performance and the filtering effect are analyzed in real time; based on the real-time data and the target parameter range, making a heat pipe network maintenance scheme; optimizing system operation parameters according to the maintenance scheme; and based on the system operation parameters, heat supply pipe network waste heat recovery is conducted. According to the method, real-time data are analyzed, and the maintenance priority is calculated and distributed, so that the maintenance plan is more detailed, the maintenance management efficiency of the heat supply pipe network is higher, waste heat recovery can be carried out according to calculation of waste heat, the environmental protection property of the method is higher, the service life of the heat supply pipe network is prolonged, and the maintenance cost of the heat supply pipe network is reduced. And a better use prospect is brought.

Description

Technical Field

[0001] The invention relates to the technical field of heat supply pipe network maintenance, and in particular to a heat supply pipe network maintenance and management method with high efficiency heat preservation and filtration. Background Art

[0002] The thermal network is also called the thermal pipeline. It starts from the boiler room, direct-fired machine room, heating center, etc., and is a heating pipeline from the heat source to the thermal entrance of the building. Multiple heating pipelines form a pipeline network. The design pressure of the hot water medium for heating is less than or equal to 2.5MPa, and the design temperature is less than or equal to 200℃; the design pressure of the heating steam medium is less than or equal to 1.6MPa, and the design temperature is less than or equal to 350℃. The design of the following thermal network, pipeline structure: usually composed of heating trunk pipes, branch pipes, valves, pumping stations, etc., responsible for transporting hot water or steam to various users, the materials used in the pipeline network include steel pipes, cast iron pipes, plastic pipes, etc. Choosing suitable materials can improve the durability and corrosion resistance of the system. The thermal network is prone to pipeline damage during use. In order to ensure the efficient insulation and filtration effect of the thermal network, regular maintenance of the thermal network is required.

[0003] The existing thermal network maintenance and management methods are too limited and not very intelligent. They cannot formulate detailed maintenance plans based on real-time data, resulting in relatively simple maintenance plans that are not very environmentally friendly. Summary of the invention

[0004] In order to solve the above technical problems, a maintenance and management method for a heating pipe network with high efficiency insulation and filtration is provided. This technical solution solves the above problems.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is:

[0006] A method for maintaining and managing a heating network with high efficiency insulation and filtration, including:

[0007] Obtain basic information of the heating network and set the target parameter range for maintaining the heating network;

[0008] Real-time monitoring of the status of the pipe network system based on the Internet of Things technology, and real-time analysis of thermal insulation performance and filtration effects;

[0009] Formulate heat pipe network maintenance plans based on real-time data and target parameter ranges;

[0010] Optimize system operating parameters according to maintenance plan;

[0011] Based on the system operating parameters, waste heat is recovered from the heating network.

[0012] Preferably, the obtaining of basic information of the heating network and setting of target parameter ranges for maintaining the heating network specifically include:

[0013] Obtaining basic information of the heating network, including pipeline parameters, heat source information, demand load and historical data;

[0014] Input the collected data into the system management platform;

[0015] Set the temperature range and pressure range of the heating network according to design standards and actual needs;

[0016] Calculate heat loss and thermal efficiency;

[0017] The heat loss calculation formula is:

[0018]

[0019] In the formula, Q is the heat loss, K is the thermal conductivity of the insulation layer, L is the length of the pipeline, Tp is the temperature inside the pipeline, Ta is the ambient temperature, DO is the outer diameter of the insulation layer, and DI is the inner diameter of the pipeline;

[0020] Calculate the target thermal efficiency;

[0021] The target thermal efficiency calculation formula is:

[0022]

[0023] Where: μ is thermal efficiency, QO is the actual heat transferred, and QI is the input heat;

[0024] Based on heat loss calculation and thermal efficiency target, set the target temperature and pressure range of the pipeline network to keep the temperature within the set range.

[0025] Preferably, the real-time monitoring of the status of the pipe network system based on the Internet of Things technology and the real-time analysis of the thermal insulation performance and the filtering effect specifically include:

[0026] Monitor system status in real time and obtain data from temperature sensors, pressure sensors, flow sensors and humidity sensors;

[0027] Use IoT devices to collect sensor data in real time and transmit it to a central data processing system via wireless networks;

[0028] Store and process data on cloud platforms or local servers;

[0029] Compare the calculated heat loss with the set target heat loss to evaluate the insulation effect;

[0030] Calculate and record the actual thermal conductivity of the insulation layer to detect damage or deterioration;

[0031] Monitor the filter pressure differential.

[0032] Preferably, monitoring the filter pressure difference specifically includes:

[0033] The pressure difference calculation formula is:

[0034]

[0035] In the formula, ΔP is the filter pressure difference, PI is the filter inlet pressure, and PO is the filter outlet pressure;

[0036] Calculate the filter resistance based on the pressure difference;

[0037] The resistance calculation formula is:

[0038]

[0039] In the formula, R is the filter resistance, ΔP is the filter pressure difference, and Q is the flow rate;

[0040] Set the threshold of R;

[0041] When the R value exceeds the set threshold, a filter clogging warning is issued.

[0042] Preferably, based on real-time data and target parameter ranges, the heat pipe network maintenance plan is formulated including:

[0043] Real-time monitoring of temperature, pressure and flow data in the system;

[0044] Compare the real-time data with the target parameter range and calculate the deviation, which is equal to the real-time value minus the target value deviation;

[0045] Identify system weaknesses based on deviations, including insufficient insulation and poor filtration.

[0046] Calculate maintenance requirements;

[0047] Based on the identification of the parts that need to be repaired and the priority;

[0048] Develop maintenance plans based on repair priorities, including repair measures, schedules, and resource allocation.

[0049] Preferably, computing maintenance requirements includes:

[0050] Get real-time parameters and target parameters;

[0051] Real-time parameters and deviations from target parameters to calculate maintenance requirements;

[0052] The maintenance demand calculation formula is:

[0053] I 总 =αI1+βI2+γI3

[0054] In the formula, I 总 is the comprehensive maintenance demand, I1 is the temperature impact index, I2 is the pressure impact index, I3 is the flow impact index, α is the weight coefficient of the temperature impact degree, β is the weight coefficient of the pressure impact degree, and γ is the weight coefficient of the flow impact degree;

[0055] Set the priority level to:

[0056] High priority: I 总 〉Threshold high

[0057] Medium priority: Threshold Medium ≤ I 总 ≤Threshold High

[0058] Low priority: I 总 〈Threshold Medium;

[0059] Identify specific areas that need repair based on priority, including insulation, filters and pipes;

[0060] Develop restoration plans for different priorities, including restoration methods, material requirements, and timelines.

[0061] Preferably, optimizing system operating parameters according to the maintenance plan specifically includes:

[0062] Adjust the system's operating parameters according to the developed plan;

[0063] Perform maintenance operations, including equipment cleaning, parts replacement, and system calibration;

[0064] After implementing the maintenance plan, continuously monitor the system's operation;

[0065] Compare with the preset goals and standards to verify whether the maintenance plan has achieved the expected results;

[0066] Record the maintenance process in detail and write maintenance reports.

[0067] Preferably, based on the system operating parameters, the waste heat recovery of the heating network specifically includes:

[0068] Collect the temperature, flow, pressure and heat load of the heating network;

[0069] Identify waste heat sources and their characteristics and assess their recovery potential;

[0070] setting recycling targets;

[0071] Calculate the amount of waste heat recovered.

[0072] Preferably, calculating the waste heat recovery amount specifically includes:

[0073] The calculation formula for waste heat recovery is:

[0074] Q 废 =V×ρ×C×ΔT

[0075] In the formula, Q 废 is the waste heat, V is the flow rate, ρ is the medium density, C is the specific heat capacity, and ΔT is the temperature difference.

[0076] Preferably, a heat recovery device is installed based on the waste heat and recovery target;

[0077] Real-time monitoring of waste heat recovery system performance, including heat recovery volume and efficiency;

[0078] Record operating data, waste heat recovery and system adjustments;

[0079] Summarize waste heat recovery results and provide improvement suggestions and lessons learned.

[0080] Compared with the prior art, the present invention has the following beneficial effects:

[0081] The present invention proposes to analyze real-time data, calculate and allocate maintenance priorities, thereby making the maintenance plan more detailed, enabling higher efficiency in the maintenance and management of the heating network, and recovering waste heat based on the calculation of waste heat, making the present invention more environmentally friendly. BRIEF DESCRIPTION OF THE DRAWINGS

[0082] Figure 1 It is a flow chart of the steps of the present invention. DETAILED DESCRIPTION

[0083] 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 described below are only examples, and those skilled in the art may think of other obvious variations.

[0084] Reference Figure 1 As shown, the maintenance and management method of the heating network with high efficiency insulation and filtration includes:

[0085] Obtain basic information of the heating network and set the target parameter range for maintaining the heating network;

[0086] Real-time monitoring of the status of the pipe network system based on the Internet of Things technology, and real-time analysis of thermal insulation performance and filtration effects;

[0087] Formulate heat pipe network maintenance plans based on real-time data and target parameter ranges;

[0088] Optimize system operating parameters according to maintenance plan;

[0089] Based on the system operating parameters, waste heat is recovered from the heating network.

[0090] Furthermore, the obtaining of basic information of the heating network and setting of target parameter ranges for maintaining the heating network specifically include:

[0091] Obtaining basic information of the heating network, including pipeline parameters, heat source information, demand load and historical data;

[0092] Input the collected data into the system management platform;

[0093] Set the temperature range and pressure range of the heating network according to design standards and actual needs;

[0094] Calculate heat loss and thermal efficiency;

[0095] The heat loss calculation formula is:

[0096]

[0097] In the formula, Q is the heat loss, K is the thermal conductivity of the insulation layer, L is the length of the pipeline, Tp is the temperature inside the pipeline, Ta is the ambient temperature, DO is the outer diameter of the insulation layer, and DI is the inner diameter of the pipeline;

[0098] Calculate the target thermal efficiency;

[0099] The target thermal efficiency calculation formula is:

[0100]

[0101] Where: μ is thermal efficiency, QO is the actual heat transferred, and QI is the input heat;

[0102] Based on heat loss calculation and thermal efficiency target, set the target temperature and pressure range of the pipeline network to keep the temperature within the set range.

[0103] Furthermore, based on the Internet of Things technology, the status of the pipe network system is monitored in real time, and the insulation performance and filtration effect are analyzed in real time, including:

[0104] Monitor system status in real time and obtain data from temperature sensors, pressure sensors, flow sensors and humidity sensors;

[0105] Use IoT devices to collect sensor data in real time and transmit it to a central data processing system via wireless networks;

[0106] Store and process data on cloud platforms or local servers;

[0107] Compare the calculated heat loss with the set target heat loss to evaluate the insulation effect;

[0108] Calculate and record the actual thermal conductivity of the insulation layer to detect damage or deterioration;

[0109] Monitor the filter pressure differential.

[0110] Further, monitoring the filter pressure difference specifically includes:

[0111] The pressure difference calculation formula is:

[0112]

[0113] In the formula, ΔP is the filter pressure difference, PI is the filter inlet pressure, and PO is the filter outlet pressure;

[0114] Calculate the filter resistance based on the pressure difference;

[0115] The resistance calculation formula is:

[0116]

[0117] In the formula, R is the filter resistance, ΔP is the filter pressure difference, and Q is the flow rate;

[0118] Set the threshold of R;

[0119] When the R value exceeds the set threshold, a filter clogging warning is issued.

[0120] Furthermore, based on real-time data and target parameter ranges, the heat pipe network maintenance plan is formulated, including:

[0121] Real-time monitoring of temperature, pressure and flow data in the system;

[0122] Compare the real-time data with the target parameter range and calculate the deviation, which is equal to the real-time value minus the target value deviation;

[0123] Identify system weaknesses based on deviations, including insufficient insulation and poor filtration.

[0124] Calculate maintenance requirements;

[0125] Based on the identification of the parts that need to be repaired and the priority;

[0126] Develop maintenance plans based on repair priorities, including repair measures, schedules, and resource allocation.

[0127] Furthermore, computing maintenance requirements include:

[0128] Get real-time parameters and target parameters;

[0129] Real-time parameters and deviations from target parameters to calculate maintenance requirements;

[0130] The maintenance demand calculation formula is:

[0131] I总 =αI1+βI2+γI3

[0132] In the formula, I 总 is the comprehensive maintenance demand, I1 is the temperature impact index, I2 is the pressure impact index, I3 is the flow impact index, α is the weight coefficient of the temperature impact degree, β is the weight coefficient of the pressure impact degree, and γ is the weight coefficient of the flow impact degree;

[0133] Set the priority level to:

[0134] High priority: I 总 〉Threshold high

[0135] Medium priority: Threshold Medium ≤ I 总 ≤Threshold High

[0136] Low priority: I 总 〈Threshold Medium;

[0137] Identify specific areas that need repair based on priority, including insulation, filters and pipes;

[0138] Develop restoration plans for different priorities, including restoration methods, material requirements, and timelines.

[0139] Furthermore, optimizing system operating parameters according to the maintenance plan specifically includes:

[0140] Adjust the system's operating parameters according to the developed plan;

[0141] Perform maintenance operations, including equipment cleaning, parts replacement, and system calibration;

[0142] After implementing the maintenance plan, continuously monitor the system's operation;

[0143] Compare with the preset goals and standards to verify whether the maintenance plan has achieved the expected results;

[0144] Record the maintenance process in detail and write maintenance reports.

[0145] Furthermore, based on the system operating parameters, the waste heat recovery of the heating network specifically includes:

[0146] Collect the temperature, flow, pressure and heat load of the heating network;

[0147] Identify waste heat sources and their characteristics and assess their recovery potential;

[0148] setting recycling targets;

[0149] Calculate the amount of waste heat recovered.

[0150] Furthermore, the calculation of waste heat recovery specifically includes:

[0151] The calculation formula for waste heat recovery is:

[0152] Q 废 =V×ρ×C×ΔT

[0153] In the formula, Q 废 is the waste heat, V is the flow rate, ρ is the medium density, C is the specific heat capacity, and ΔT is the temperature difference.

[0154] Further, based on the waste heat and recovery targets, heat recovery equipment is installed;

[0155] Real-time monitoring of waste heat recovery system performance, including heat recovery volume and efficiency;

[0156] Record operating data, waste heat recovery and system adjustments;

[0157] Summarize waste heat recovery results and provide improvement suggestions and lessons learned.

[0158] The use process of the present invention is:

[0159] Step 1: Obtain basic information of the heating network;

[0160] Step 2: Input the collected data into the system management platform;

[0161] Step 3: Set the temperature range and pressure range of the heating network according to the design standards and actual needs;

[0162] Step 4: Based on the heat loss calculation and thermal efficiency target, set the target temperature and pressure range of the pipe network and keep the temperature within the set range;

[0163] Step 5: Calculate heat loss and thermal efficiency;

[0164] Step 6: Monitor the system status in real time and obtain data from the temperature sensor, pressure sensor, flow sensor and humidity sensor;

[0165] Step 7: Use IoT devices to collect sensor data in real time and transmit it to the central data processing system via wireless networks;

[0166] Step 8: Store and process data on a cloud platform or local server;

[0167] Step 9: Compare the calculated heat loss with the set target heat loss to evaluate the insulation effect;

[0168] Step 10: Calculate and record the actual thermal conductivity of the insulation layer and check for damage or deterioration;

[0169] Step 11: Monitor the filter pressure difference;

[0170] Step 12: Real-time monitoring of temperature, pressure and flow data in the system;

[0171] Step 13: Compare the real-time data with the target parameter range and calculate the deviation, which is equal to the real-time value minus the target value deviation;

[0172] Step 14: Identify the weak links of the system based on the size of the deviation, including insufficient insulation performance and poor filtration effect;

[0173] Step 15: Calculate maintenance requirements;

[0174] Step 16: Determine the parts that need to be repaired and their priority;

[0175] Step 17: Develop a maintenance plan based on the priority of repairs, including repair measures, schedule, and resource allocation;

[0176] Step 18: Adjust the system's operating parameters according to the formulated plan;

[0177] Step 19: Perform maintenance operations, including equipment cleaning, parts replacement and system calibration;

[0178] Step 20: After implementing the maintenance plan, continue to monitor the system's operation;

[0179] Step 21: Compare with the preset goals and standards to verify whether the maintenance plan has achieved the expected results;

[0180] Step 22: Record the maintenance process in detail and write a maintenance report;

[0181] Step 23: Collect the temperature, flow, pressure and heat load of the heating network;

[0182] Step 24: Identify waste heat sources and their characteristics and assess their recovery potential;

[0183] Step 25: Set recycling goals;

[0184] Step 26: Calculate the amount of waste heat recovery

[0185] Step 27: Install heat recovery equipment based on waste heat and recovery targets;

[0186] Step 28: Real-time monitoring of the performance of the waste heat recovery system, including heat recovery amount and efficiency;

[0187] Step 29: Record operating data, waste heat recovery and system adjustments;

[0188] Step 30: Summarize the waste heat recovery results and provide improvement suggestions and lessons learned.

[0189] To sum up, the advantages of the present invention are: the present invention proposes analysis of real-time data, calculation and allocation of maintenance priorities, thereby making the maintenance plan more detailed, which can make the maintenance management of the heating pipeline network more efficient, and can recover waste heat based on the calculation of waste heat, which can make the present invention more environmentally friendly.

[0190] 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 to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for maintaining and managing a heating network with high efficiency insulation and filtration, characterized in that: include: Obtain basic information of the heating network and set the target parameter range for maintaining the heating network; Real-time monitoring of the status of the pipe network system based on the Internet of Things technology, and real-time analysis of thermal insulation performance and filtration effects; Formulate heat pipe network maintenance plans based on real-time data and target parameter ranges; Optimize system operating parameters according to maintenance plan; Based on the system operating parameters, waste heat is recovered from the heating network.

2. The maintenance and management method for a heat supply network with high efficiency insulation and filtration according to claim 1 is characterized in that: The obtaining of basic information of the heating network and setting of target parameter ranges for maintaining the heating network specifically include: Obtaining basic information of the heating network, including pipeline parameters, heat source information, demand load and historical data; Input the collected data into the system management platform; Set the temperature range and pressure range of the heating network according to design standards and actual needs; Calculate heat loss and thermal efficiency; The heat loss calculation formula is: In the formula, Q is the heat loss, K is the thermal conductivity of the insulation layer, L is the length of the pipeline, Tp is the temperature inside the pipeline, Ta is the ambient temperature, DO is the outer diameter of the insulation layer, and DI is the inner diameter of the pipeline; Calculate the target thermal efficiency; The target thermal efficiency calculation formula is: Where: μ is thermal efficiency, QO is the actual heat transferred, and QI is the input heat; Based on heat loss calculation and thermal efficiency target, set the target temperature and pressure range of the pipeline network to keep the temperature within the set range.

3. The maintenance and management method for a heat supply network with high efficiency insulation and filtration according to claim 2 is characterized in that: Based on the Internet of Things technology, the status of the pipe network system is monitored in real time, and the insulation performance and filtration effect are analyzed in real time, including: Monitor system status in real time and obtain data from temperature sensors, pressure sensors, flow sensors and humidity sensors; Use IoT devices to collect sensor data in real time and transmit it to a central data processing system via wireless networks; Store and process data on cloud platforms or local servers; Compare the calculated heat loss with the set target heat loss to evaluate the insulation effect; Calculate and record the actual thermal conductivity of the insulation layer to detect damage or deterioration; Monitor the filter pressure differential.

4. The maintenance and management method for a heat supply network with high efficiency insulation and filtration according to claim 3 is characterized in that: Monitor filter pressure difference include: The pressure difference calculation formula is: In the formula, ΔP is the filter pressure difference, PI is the filter inlet pressure, and PO is the filter outlet pressure; Calculate the filter resistance based on the pressure difference; The resistance calculation formula is: In the formula, R is the filter resistance, ΔP is the filter pressure difference, and Q is the flow rate; Set the threshold of R; When the R value exceeds the set threshold, a filter clogging warning is issued.

5. The maintenance and management method for a heat supply network with high efficiency insulation and filtration according to claim 4 is characterized in that: Based on real-time data and target parameter ranges, the heat pipe network maintenance plan is formulated, including: Real-time monitoring of temperature, pressure and flow data in the system; Compare the real-time data with the target parameter range and calculate the deviation, which is equal to the real-time value minus the target value deviation; Identify system weaknesses based on deviations, including insufficient insulation and poor filtration. Calculate maintenance requirements; Based on the identification of the parts that need to be repaired and the priority; Develop maintenance plans based on repair priorities, including repair measures, schedules, and resource allocation.

6. The maintenance and management method for a heat supply network with high efficiency insulation and filtration according to claim 5 is characterized in that: Computational maintenance needs include: Get real-time parameters and target parameters; Real-time parameters and deviations from target parameters to calculate maintenance requirements; The maintenance demand calculation formula is: I 总 =αI1+βI2+γI3 In the formula, I 总 is the comprehensive maintenance demand, I1 is the temperature impact index, I2 is the pressure impact index, I3 is the flow impact index, α is the weight coefficient of the temperature impact degree, β is the weight coefficient of the pressure impact degree, and γ is the weight coefficient of the flow impact degree; Set the priority level to: High priority: I 总 〉Threshold high Medium priority: Threshold Medium ≤ I 总 ≤Threshold High Low priority: I 总 〈Threshold Medium; Identify specific areas that need repair based on priority, including insulation, filters and pipes; Develop restoration plans for different priorities, including restoration methods, material requirements, and timelines.

7. The maintenance and management method for a heat supply network with high efficiency insulation and filtration according to claim 6 is characterized in that: Optimizing system operating parameters according to the maintenance plan specifically includes: Adjust the system's operating parameters according to the developed plan; Perform maintenance operations, including equipment cleaning, parts replacement, and system calibration; After implementing the maintenance plan, continuously monitor the system's operation; Compare with the preset goals and standards to verify whether the maintenance plan has achieved the expected results; Record the maintenance process in detail and write maintenance reports.

8. The maintenance and management method for a heat supply network with high efficiency insulation and filtration according to claim 7 is characterized in that: Based on the system operating parameters, the waste heat recovery of the heating network includes: Collect the temperature, flow, pressure and heat load of the heating network; Identify waste heat sources and their characteristics and assess their recovery potential; setting recycling targets; Calculate the amount of waste heat recovered.

9. The maintenance and management method for a heat supply network with high efficiency insulation and filtration according to claim 8 is characterized in that: Calculate the amount of waste heat recovery include: The calculation formula for waste heat recovery is: Q 废 =V×ρ×C×ΔT In the formula, Q 废 is the waste heat, V is the flow rate, ρ is the medium density, C is the specific heat capacity, and ΔT is the temperature difference.

10. The maintenance and management method for a heat supply network with high efficiency heat preservation and filtration according to claim 9 is characterized in that: Install heat recovery equipment based on waste heat and recovery targets; Real-time monitoring of waste heat recovery system performance, including heat recovery volume and efficiency; Record operating data, waste heat recovery and system adjustments; Summarize waste heat recovery results and provide improvement suggestions and lessons learned.

Images