Concentrated cold water supply pipe intelligent monitoring method and system based on ship lock construction

Abstract

The invention discloses a centralized cold water supply pipe intelligent monitoring method and system based on ship lock construction, and belongs to the technical field of mass concrete, and the method comprises the steps of data acquisition and sensor arrangement, data real-time transmission and processing, dynamic threshold setting and early warning, and closed-loop control and execution. Based on the intelligent monitoring technology, the Internet of Things technology and data analysis, a comprehensive and intelligent cold water supply pipe system monitoring scheme is provided, the cooling water flow, temperature, pressure and other key parameters of a pipeline can be monitored in real time, dynamic adjustment is carried out according to a construction plan, it is guaranteed that the temperature control target of ship lock mass concrete is achieved, and the service life of the ship lock mass concrete is prolonged. The temperature difference control and the structure safety in the concrete pouring process are ensured, and the problems of cracks and the like caused by uneven temperature are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of large-volume concrete construction, and in particular to an intelligent monitoring method and system for centralized cooling water pipes based on ship lock construction. Background Art

[0002] Temperature control of large-volume concrete is crucial during shiplock construction. Uncontrolled heat of hydration released during the pouring process can lead to thermal cracks, compromising the concrete's structural safety and durability. Therefore, employing centralized cooling systems to cool concrete has become a key measure for controlling thermal cracks.

[0003] However, traditional cooling systems present numerous challenges, such as difficulty regulating cooling water flow, precise temperature control, and slow system response. These issues hinder both temperature control effectiveness and construction progress. To address these challenges, a method and system for intelligent monitoring of centralized cooling water pipes was proposed. Leveraging the Internet of Things (IoT) technology, this system enables remote monitoring, data collection, real-time adjustment, and intelligent analysis of the pipe cooling system, thereby improving temperature control effectiveness and construction efficiency. Summary of the Invention

[0004] The purpose of the present invention is to provide an intelligent monitoring method and system for centralized cooling water pipes based on ship lock construction to solve the above technical problems.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] The intelligent monitoring method for centralized cooling water pipes based on ship lock construction includes the following steps:

[0007] S1. Data collection and sensor deployment: Install temperature sensors, pressure sensors, flow sensors, and leakage detection sensors at key locations in the cooling system to monitor the working status of the cooling system in real time.

[0008] The cooling system includes a cold water pipe, a water tower and a chiller, the cold water pipe being pre-buried in concrete and cooling the concrete, the cold water pipe being connected to the water tower through a pipe network, the pipe network including a main pipe and branch pipes, the main pipe including a main water inlet pipe and a main return pipe, the branch pipe including a plurality of water inlet branch pipes and return branch pipes with the same number as the water inlet branch pipes, the output end of the water tower being connected to the main water inlet pipe, the water inlet branch pipe, the cold water pipe, the return branch pipe and the main return pipe in sequence, the output end of the main return pipe being connected to the input end of the water tower to form a circulation loop, the number of the cold water pipes being the same as the number of the water inlet branch pipes; the water tower being connected to the chiller through the water inlet pipe, the chiller cooling the water from the water tower, and the cooled water flowing back into the water tower through the return pipe;

[0009] S2. Real-time data transmission and processing: The temperature, pressure, flow, and leakage data collected by the sensors are uploaded to the data collection center in real time. The data collection center pre-processes the collected data through the edge computing platform and extracts key parameters, such as the temperature difference ΔT, the pressure difference ΔP, and the flow rate change rate dQ / dt. The real-time data is compared and analyzed with historical data to quickly calculate and generate a real-time status report.

[0010] S3. Dynamic threshold setting and early warning: Based on different construction stages and ambient temperature factors, the control system automatically adjusts the preset thresholds for temperature difference ΔT, pressure difference ΔP, and flow rate change rate dQ / dt. The control system monitors the operating status of the cooling system based on real-time data and the preset thresholds, analyzing whether the temperature, pressure, and flow exceed the preset thresholds. If any abnormality is found, an early warning is automatically triggered;

[0011] S4. Closed-loop control and execution: Based on data analysis and early warning, the control system automatically adjusts the working status of the cooling system.

[0012] Furthermore, the temperature sensor in step S1 is arranged at the input end and output end of the cold water pipe to detect the temperature difference between the inflow and outflow of cooling water; the pressure sensor is installed at the top point and the bottom point of the cold water pipe to detect the pressure change in the cold water pipe; the flow sensor is installed on the water inlet branch and the return branch to monitor the water flow rate and flow; the leakage detection sensor is arranged at the pipe joints and areas prone to leakage to detect whether there is leakage in the water pipe, wherein the temperature sensor, the pressure sensor, the flow sensor and the leakage detection sensor are all electrically connected to the control system.

[0013] Furthermore, the temperature difference ΔT in step S2 represents the difference between the inlet water temperature and the outlet water temperature of the cold water pipe, and satisfies the following relationship:

[0014] △T=T in -T out

[0015] Where △T is the temperature difference, T in is the water inlet temperature of the cold water pipe, T out is the outlet water temperature of the cold water pipe;

[0016] The pressure difference ΔP is used to determine whether there is air blockage or unstable flow in the cold water pipe, and satisfies the following relationship:

[0017] △P=P1-P2

[0018] Wherein, ΔP is the temperature difference, P1 is the pressure value at the top end of the cold water pipe, and P2 is the pressure value at the bottom end of the cold water pipe;

[0019] The flow rate change rate dQ / dt is used to monitor whether the cooling water flow is stable and satisfies the following relationship:

[0020]

[0021] Where Q(t) is the flow rate value at the current time point, Q(t-△t) is the flow rate value at the previous time interval, and △t is the time interval.

[0022] Furthermore, the temperature difference preset threshold in step S3 is determined according to the heat generated by the hydration heat of the concrete and satisfies the following relationship:

[0023]

[0024] Where, △T min The minimum value of the preset threshold value for the temperature difference; ΔT max is the maximum value of the preset threshold value of the temperature difference; ρ is the density of water, which is 1000 kg / m 3 ; c is the specific heat capacity of water, which is 4200 J / (kg·℃); is the heat released by concrete hydration per unit time in the current construction stage, in W, i.e. J / s; Q'(t) is the cooling water flow rate preset according to the current construction stage, in m 3 / s; δ T The temperature fluctuation range is allowed in °C.

[0025] Ambient temperature T at the current construction stage α When the temperature deviates from the set value T0, the ambient temperature correction coefficient γ is introduced. Therefore, the preset temperature difference threshold satisfies the following relationship after considering the ambient temperature deviation:

[0026] △T' min =△T min +γ·(T α -T0);

[0027] △T' max =△T max +γ·(T α -T0);

[0028] The preset pressure difference threshold is determined according to the preset cooling water flow rate in the current construction phase. The Darcy-Weisbach equation is used to calculate the pressure loss of cooling water along the pipeline, which satisfies the following relationship:

[0029]

[0030] △P min =k·[Q'(t)] 2 +(α·△P n +β);

[0031] △P max =k·[Q'(t)] 2 -(α·△P n +β);

[0032]

[0033] Where, △P n is the theoretical pressure difference, unit is Pa; △P min The minimum value of the preset threshold value of the pressure difference; △P max is the maximum value of the preset threshold value of the pressure difference; f is the friction coefficient of the cold water pipe, dimensionless; L is the length of the cold water pipe, in meters; D is the inner diameter of the cold water pipe, in meters; ρ is the density of water, which is 1000 kg / m 3 ; v is the cooling water flow rate, in m / s; Q'(t) is the cooling water flow rate preset according to the current construction stage, in m 3 / s; k is the pressure loss coefficient, unit is Pa·s 2 / m 6 ; α is the safety margin proportional coefficient, dimensionless; β is the additional safety pressure margin, unit is Pa;

[0034] The flow rate change rate preset threshold is determined by the maximum design flow rate of cooling water Q max (t) Determine, satisfying the following relationship:

[0035]

[0036] Where, is the preset threshold value of the flow rate change rate, in m 3 / s 2 ;Q max (t) is the maximum design flow of cooling water in the current construction stage, in m 3 / s; μ is the system response coefficient, the unit is 1 / s.

[0037] Furthermore, the temperature fluctuation range δ T Based on the concrete thermal stress theory, the maximum allowable tensile stress of concrete caused by temperature difference is determined to meet the following relationship:

[0038]

[0039] Where, δ T is the allowable temperature fluctuation range, in °C; σ maxis the tensile strength of concrete, in Pa; α c is the coefficient of thermal expansion, unit is 1 / ℃; K T is the safety factor, dimensionless, the safety factor K T Considering the material inhomogeneity, safety is ensured by reducing the allowable temperature difference, so the safety factor K T ≥1.0; E is the elastic modulus of concrete, in Pa; τ is the Poisson's ratio of concrete, dimensionless;

[0040] The safety margin proportional coefficient α is based on the stress-strength interference model to ensure that the actual pressure fluctuation is within the allowable range and satisfies the following relationship:

[0041]

[0042] Where Z R is the reliability coefficient, dimensionless; ε △P is the standard deviation of pressure fluctuation, in Pa; △P n is the theoretical pressure difference, unit is Pa.

[0043] Furthermore, there are several chillers, which are operated in parallel to form a chiller; two booster pumps are provided between the water tower and the main water inlet pipe, one serving as a main pump and the other as a backup pump; a water distributor is provided between the main water inlet pipe and the water inlet branch pipe, which is used to distribute the water flow of the main water inlet pipe to each of the water inlet branches and ensure pressure balance; an automatic solenoid valve is provided between the water inlet branch pipe and the cold water pipe, which is used to adjust the water flow of the cold water pipe according to the early warning signal; a water pump is provided at the output end of the main return pipe, which is used to pump the water of the main return pipe back to the water tower to complete the circulation; wherein the booster pump, the water distributor, the automatic solenoid valve and the water pump are all electrically connected to the control system.

[0044] Furthermore, in step S4, the control system automatically adjusts the working state of the cooling system including the temperature difference ΔT exceeding the limit, the pressure difference ΔP exceeding the limit, and the flow rate change rate dQ / dt exceeding the limit.

[0045] Temperature difference ΔT over-limit processing: When the temperature difference ΔT is greater than the maximum value of the preset temperature difference threshold, it indicates that the heat removed by the cooling water is insufficient and the temperature inside the concrete is too high. At this time, the control system automatically increases the cooling water flow rate in the current construction stage; when the temperature difference ΔT is less than the minimum value of the preset temperature difference threshold, it indicates that the cooling water is over-cooled, which will cause a large temperature difference between the inside and outside of the concrete. At this time, the control system automatically reduces the cooling water flow rate in the current construction stage; if the temperature difference ΔT still exceeds the limit after the automatic adjustment of the cooling water flow rate, an audible and visual alarm is triggered to notify the operation and maintenance personnel to check whether the sensor is faulty and to check whether the pipeline is blocked or leaking;

[0046] Pressure difference ΔP exceeding the limit processing: When the pressure difference ΔP is greater than the maximum value of the preset pressure difference threshold, it indicates that the pipeline is blocked or the cooling water flow has suddenly increased. At this time, the control system automatically reduces the cooling water flow in the current construction phase and notifies the operation and maintenance personnel to check whether the pipeline is blocked. When the pressure difference ΔP is less than the minimum value of the preset pressure difference threshold, it indicates a pipeline leak or a water distributor failure. At this time, the control system automatically closes the automatic solenoid valve of the suspected leaking pipeline, isolates the faulty section, and starts the backup pump to maintain the normal operation of the main water inlet pipe;

[0047] Flow rate change rate dQ / dt over-limit processing: When the flow rate change rate dQ / dt exceeds the preset threshold in the positive direction or the negative direction, it indicates that the automated solenoid valve is adjusting too fast. At this time, the control system performs ramp function processing on the target flow to avoid step changes, and issues a smooth adjustment instruction to the automated solenoid valve.

[0048] Furthermore, the areas where cold water pipes need to be buried are foundation constraint areas, new and old concrete constraint areas, contact grouting areas, concrete poured from March to November, and other concrete that requires water cooling measures.

[0049] Furthermore, if any abnormality is found in step S3 and an early warning is automatically triggered, the early warning information is notified to the operator in the following ways: a visual monitoring interface, mobile terminal push, and email.

[0050] An intelligent monitoring system for centralized cooling water pipes based on ship lock construction is used to implement the intelligent monitoring method for centralized cooling water pipes based on ship lock construction. The system includes: a monitoring data acquisition module, a data center processing module, a monitoring model generation module, and a monitoring data early warning module;

[0051] The monitoring data acquisition module collects the cold water pipe monitoring data through multiple sensors and uniformly connects the cold water pipe monitoring data to the data center processing module;

[0052] The data center processing module processes the received cold water pipe monitoring data to obtain characteristic information of the monitoring data;

[0053] The monitoring model generation module establishes a monitoring model according to the monitoring data characteristic information, performs real-time monitoring according to the monitoring model, and generates monitoring results;

[0054] The monitoring results are transmitted to the data center processing module, and the monitoring data early warning module generates an optimization strategy, constructs an early warning rating method, and generates monitoring early warnings.

[0055] In summary, compared with the prior art, the present invention has the following beneficial effects:

[0056] Based on intelligent monitoring technology, Internet of Things (IoT) technology, and data analysis, the present invention provides a comprehensive, intelligent monitoring solution for cooling water pipe systems. By installing temperature sensors, pressure sensors, flow sensors, and leak detection sensors at key locations in the cooling system, key parameters such as cooling water flow, temperature, and pressure are collected in real time, ensuring the comprehensiveness and accuracy of the data. IoT technology is used to transmit the data collected by the sensors to a data processing center in real time for data preprocessing and analysis. Key parameters such as temperature difference, pressure difference, and flow rate change are extracted and compared with historical data to quickly generate real-time status reports. This allows for the timely detection of potential problems such as leaks, air blockages, or unstable flow, allowing measures to be taken before problems worsen and ensuring stable system operation. Furthermore, the preset thresholds of the monitoring parameters are dynamically adjusted according to the construction plan and environmental changes, ensuring that the cooling water flow, temperature, and pressure remain within reasonable ranges. Through intelligent monitoring and dynamic adjustment, cracks caused by uneven temperatures can be effectively avoided, ensuring temperature differential control and structural safety during concrete pouring. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 This is a flow chart of the intelligent monitoring method for centralized cooling water pipes based on ship lock construction according to the present invention;

[0058] Figure 2 This is a structural diagram of the intelligent monitoring system for centralized cooling water pipes based on ship lock construction according to the present invention. DETAILED DESCRIPTION

[0059] The following is a detailed description of the specific embodiments of the present invention in conjunction with the accompanying drawings. It should be understood that the specific embodiments given here are only used to illustrate and explain the present invention and cannot be used to limit the present invention.

[0060] like Figure 1 As shown, the intelligent monitoring method for centralized cooling water pipes based on ship lock construction includes the following steps:

[0061] S1. Data collection and sensor deployment: Install temperature sensors, pressure sensors, flow sensors, and leakage detection sensors at key locations in the cooling system to monitor the working status of the cooling system in real time.

[0062] The cooling system includes a cold water pipe, a water tower and a chiller. The cold water pipe is pre-buried in the concrete and cools the concrete. The cold water pipe is connected to the water tower through a pipe network. The pipe network includes a main pipe and branch pipes. The main pipe includes a main water inlet pipe and a main return pipe. The branch pipe includes a number of water inlet branch pipes and the same number of return branch pipes as the water inlet branch pipes. The output end of the water tower is connected to the main water inlet pipe, the water inlet branch pipe, the cold water pipe, the return branch pipe and the main return pipe in sequence. The output end of the main return pipe is connected to the input end of the water tower to form a circulation loop. The number of cold water pipes is the same as the number of water inlet branch pipes. The water tower is connected to the chiller through the water inlet pipe. The chiller cools the water from the water tower, and the cooled water flows back to the water tower through the return pipe.

[0063] In this cooling system, multiple chillers can be set up to operate in parallel. Each chiller draws water from a water tower through an inlet pipe and, after cooling, pumps the cooling water back to the water tower through a return pipe, thus forming an efficient parallel circulation refrigeration system. The cooling water cooled by the chiller starts from the water tower, flows through the main inlet pipe, the water inlet branch pipe, and enters the cold water pipe buried in the concrete to cool the concrete. The cooling water then continues to flow back to the water tower through the return branch pipe and the main return pipe. After completing a cycle, it enters the chiller again for a new round of cooling treatment. This cycle repeats, ensuring that the concrete is always under effective cooling control.

[0064] S2. Real-time data transmission and processing: The temperature, pressure, flow, and leakage data collected by the sensors are uploaded to the data collection center in real time. The data collection center pre-processes the collected data through the edge computing platform and extracts key parameters, including temperature difference ΔT, pressure difference ΔP, and flow rate change rate dQ / dt. The real-time data is compared and analyzed with historical data to quickly calculate and generate real-time status reports.

[0065] S3. Dynamic threshold setting and early warning: Based on different construction stages and ambient temperature factors, the control system automatically adjusts the preset thresholds for temperature difference △T, pressure difference △P, and flow rate change rate dQ / dt. The control system monitors the working status of the cooling system based on real-time data and preset thresholds, and analyzes whether the temperature, pressure, and flow exceed the preset thresholds. If any abnormality is found, an early warning is automatically triggered;

[0066] The control system identifies the pre-construction stage through the set construction stage parameters, such as pouring progress and concrete hardening time, and automatically adjusts the warning thresholds of temperature difference △T, pressure difference △P, and flow change rate dQ / dt; when environmental variables change, the control system perceives and adjusts the warning thresholds in real time. For example, in hot weather, the cooling water temperature difference is large, and the control system relaxes the temperature difference warning threshold accordingly to reduce false alarms. Through mechanisms such as the ambient temperature correction coefficient, false alarms caused by environmental changes are reduced, the accuracy of the warning is improved, the flexibility and adaptability of the system are improved, and the scientific nature of the threshold setting is ensured.

[0067] S4. Closed-loop control and execution: Based on data analysis and early warning, the control system automatically adjusts the working status of the cooling system.

[0068] Furthermore, in step S1, temperature sensors are arranged at the input and output ends of the cold water pipe to detect the temperature difference between the inflow and outflow of cooling water; pressure sensors are installed at the top and bottom points of the cold water pipe to detect pressure changes in the cold water pipe; flow sensors are installed on the inlet branch and return branch to monitor water flow rate and flow; leakage detection sensors are arranged at pipe joints and areas prone to leakage to detect whether there is leakage in the water pipe, wherein the temperature sensor, pressure sensor, flow sensor and leakage detection sensor are all electrically connected to the control system.

[0069] Furthermore, the temperature difference ΔT in step S2 represents the difference between the inlet water temperature and the outlet water temperature of the cold water pipe, and satisfies the following relationship:

[0070] △T=T in -T out

[0071] Where △T is the temperature difference, T in is the inlet water temperature of the cold water pipe, T out is the outlet water temperature of the cold water pipe;

[0072] The pressure difference △P is used to determine whether there is air blockage or unstable flow in the cold water pipe, and it satisfies the following relationship:

[0073] △P=P1-P2

[0074] Where △P is the temperature difference, P1 is the pressure value at the top point of the cold water pipe, and P2 is the pressure value at the bottom point of the cold water pipe;

[0075] The flow rate change rate dQ / dt is used to monitor whether the cooling water flow is stable and satisfies the following relationship:

[0076]

[0077] Where Q(t) is the flow rate value at the current time point, Q(t-△t) is the flow rate value at the previous time interval, and △t is the time interval.

[0078] Furthermore, the preset threshold value of the temperature difference in step S3 is determined according to the heat generated by the hydration heat of the concrete and satisfies the following relationship:

[0079]

[0080] Where, △T min The minimum value of the preset threshold for temperature difference; △T max is the maximum value of the preset threshold value of the temperature difference; ρ is the density of water, which is 1000 kg / m 3 ; c is the specific heat capacity of water, which is 4200 J / (kg·℃); is the heat released by concrete hydration per unit time in the current construction stage, in W, i.e. J / s; Q'(t) is the cooling water flow rate preset according to the current construction stage, in m 3 / s; δ T The temperature fluctuation range is allowed in °C.

[0081] Ambient temperature T at the current construction stage α When the temperature deviates from the set value T0, the ambient temperature correction coefficient γ is introduced. Therefore, the temperature difference preset threshold satisfies the following relationship after considering the ambient temperature deviation:

[0082] △T' min =△T min +γ·(T α -T0);

[0083] △T' max =△T max +γ·(T α -T0);

[0084] The preset threshold of the pressure difference is determined by the preset cooling water flow rate in the current construction phase. The Darcy-Weisbach equation is used to calculate the pressure loss of the cooling water along the pipeline, which satisfies the following relationship:

[0085]

[0086] △P min =k·[Q'(t)] 2 +(α·△P n +β);

[0087] △P max =k·[Q'(t)] 2 -(α·△P n +β);

[0088]

[0089] Where, △P n is the theoretical pressure difference, unit is Pa; △P min The minimum value of the preset threshold for pressure difference; △P max is the maximum value of the preset threshold value of the pressure difference; f is the friction coefficient of the cold water pipe, dimensionless; L is the length of the cold water pipe, in meters; D is the inner diameter of the cold water pipe, in meters; ρ is the density of water, which is 1000 kg / m 3 ; v is the cooling water flow rate, in m / s; Q'(t) is the cooling water flow rate preset according to the current construction stage, in m 3 / s; k is the pressure loss coefficient, unit is Pa·s 2 / m 6 ; α is the safety margin proportional coefficient, dimensionless; β is the additional safety pressure margin, unit is Pa;

[0090] The preset threshold value of the flow rate change rate is determined by the maximum design flow rate of cooling water Q max (t) Determine, satisfying the following relationship:

[0091]

[0092] Where, is the preset threshold of the flow rate change rate, in m 3 / s 2 ;Q max (t) is the maximum design flow of cooling water in the current construction stage, in m 3 / s; μ is the system response coefficient, the unit is 1 / s.

[0093] Furthermore, the temperature fluctuation range δ T Based on the concrete thermal stress theory, the maximum allowable tensile stress of concrete caused by temperature difference is determined to meet the following relationship:

[0094]

[0095] Where, δ T is the allowable temperature fluctuation range, in °C; σ max is the tensile strength of concrete, in Pa; α c is the coefficient of thermal expansion, unit is 1 / ℃; K T is the safety factor, dimensionless, safety factor K T Considering the material inhomogeneity, safety is ensured by reducing the allowable temperature difference, so the safety factor K T ≥1.0; E is the elastic modulus of concrete, in Pa; τ is the Poisson's ratio of concrete, dimensionless;

[0096] The heat of concrete hydration produces a temperature difference between the inside and outside. When the temperature difference exceeds the critical temperature difference, the thermal stress exceeds the tensile strength of the concrete, causing cracks. Therefore, the temperature fluctuation range is allowed to be δ T Based on the concrete thermal stress theory, the allowable temperature fluctuation range δ is introduced. T To strictly control the temperature difference and effectively avoid damage to the concrete structure, and then the safety factor K T It can be dynamically adjusted according to material properties to adapt to different construction stages, and is used to reduce the allowable temperature difference and reserve a safety margin. Safety factor K T The value can be 1.2 to 1.5. In the early stage, the concrete hydration reaction is intense and the heat release rate is high, so K can be appropriately increased. T To obtain a smaller δ T In the later stage, the hydration heat of concrete decreases, and K can be appropriately reduced. T , to relax δ T , reducing the cooling system load.

[0097] The safety margin proportional coefficient α is based on the stress-strength interference model to ensure that the actual pressure fluctuation is within the allowable range and satisfies the following relationship:

[0098]

[0099] Where Z R is the reliability coefficient, dimensionless; ε △P is the standard deviation of pressure fluctuation, in Pa; △P n is the theoretical pressure difference, unit is Pa.

[0100] The pressure fluctuation standard deviation ε can be obtained through historical data or actual measurement △P ,Introducing the safety margin proportional coefficient α, can reserve pressure margin to cope with unpredictable fluctuations and reduce the risk of failure.

[0101] Furthermore, several chillers are provided and operated in parallel to form a chiller unit; two booster pumps are provided between the water tower and the main water inlet pipe, one serving as the main pump and the other as a backup pump; a water distributor is provided between the main water inlet pipe and the water inlet branch pipe, for distributing the water flow of the main water inlet pipe to each water inlet branch pipe and ensuring pressure balance; an automatic solenoid valve is provided between the water inlet branch pipe and the cold water pipe, for adjusting the water flow of the cold water pipe according to the early warning signal; a water pump is provided at the output end of the main return pipe, and the water pump is used to pump the water of the main return pipe back to the water tower to complete the circulation; the booster pump, water distributor, automatic solenoid valve and water pump are all electrically connected to the control system.

[0102] Furthermore, in step S4, the control system automatically adjusts the working state of the cooling system including the temperature difference ΔT exceeding the limit, the pressure difference ΔP exceeding the limit, and the flow rate change rate dQ / dt exceeding the limit.

[0103] Temperature difference ΔT over-limit processing: When the temperature difference ΔT is greater than the maximum value of the preset temperature difference threshold, it indicates that the cooling water has not removed enough heat and the temperature inside the concrete is too high. At this time, the control system automatically increases the cooling water flow rate for the current construction phase. When the temperature difference ΔT is less than the minimum value of the preset temperature difference threshold, it indicates that the cooling water is over-cooled, which will cause a large temperature difference between the inside and outside of the concrete. At this time, the control system automatically reduces the cooling water flow rate for the current construction phase. If the temperature difference ΔT still exceeds the limit after the automatic adjustment of the cooling water flow rate, an audible and visual alarm will be triggered to notify the operation and maintenance personnel to check whether the sensor is faulty and to check whether the pipeline is blocked or leaking.

[0104] Pressure difference ΔP exceeding the limit: When the pressure difference ΔP exceeds the maximum value of the preset pressure difference threshold, it indicates a pipeline blockage or a sudden increase in cooling water flow. The control system automatically reduces the cooling water flow for the current construction phase and notifies the operation and maintenance personnel to check whether the pipeline is blocked. When the pressure difference ΔP is less than the minimum value of the preset pressure difference threshold, it indicates a pipeline leak or a water distributor failure. The control system automatically closes the automated solenoid valve of the suspected leaking pipeline, isolates the faulty section, and starts the backup pump to maintain the normal operation of the main water inlet pipe.

[0105] Flow rate change rate dQ / dt over-limit processing: When the flow rate change rate dQ / dt exceeds the preset threshold in the positive or negative direction, it indicates that the automation solenoid valve is adjusting too fast. At this time, the control system performs ramp function processing on the target flow to avoid step changes and issues smooth adjustment instructions to the automation solenoid valve.

[0106] Furthermore, the areas where cold water pipes need to be buried are foundation constraint areas, new and old concrete constraint areas, contact grouting areas, concrete poured from March to November, and other concrete that requires water cooling measures.

[0107] Furthermore, if any abnormality is found in step S3 and an early warning is automatically triggered, the early warning information is notified to the operator in the following ways: a visual monitoring interface, mobile terminal push, and email.

[0108] like Figure 2 As shown, the intelligent monitoring system for centralized cooling water pipes based on ship lock construction is used to implement the intelligent monitoring method for centralized cooling water pipes based on ship lock construction. The system includes: a monitoring data acquisition module, a data center processing module, a monitoring model generation module, and a monitoring data early warning module;

[0109] The monitoring data acquisition module collects cold water pipe monitoring data through multiple sensors and connects the cold water pipe monitoring data to the data center processing module;

[0110] The data center processing module processes the connected cold water pipe monitoring data to obtain the monitoring data feature information;

[0111] The monitoring model generation module establishes a monitoring model based on the characteristic information of the monitoring data, performs real-time monitoring based on the monitoring model, and generates monitoring results;

[0112] The monitoring results are transmitted to the data center processing module, and the monitoring data early warning module generates optimization strategies, builds early warning rating methods, and generates monitoring early warnings.

[0113] It should be understood that the above embodiments are one or more embodiments of the present invention. There are many other embodiments and variations thereof based on the present invention. The variations and modifications made by ordinary technicians in this industry through the present invention without making groundbreaking innovations all fall within the scope of protection of the present invention.

Claims

1. Intelligent monitoring method for centralized cooling water pipes based on ship lock construction, characterized by The following steps are involved: S1. Data collection and sensor deployment: Install temperature sensors, pressure sensors, flow sensors, and leakage detection sensors at key locations in the cooling system to monitor the working status of the cooling system in real time. The cooling system includes a cold water pipe, a water tower and a chiller, the cold water pipe being pre-buried in concrete and cooling the concrete, the cold water pipe being connected to the water tower through a pipe network, the pipe network including a main pipe and branch pipes, the main pipe including a main water inlet pipe and a main return pipe, the branch pipe including a plurality of water inlet branch pipes and return branch pipes with the same number as the water inlet branch pipes, the output end of the water tower being connected to the main water inlet pipe, the water inlet branch pipe, the cold water pipe, the return branch pipe and the main return pipe in sequence, the output end of the main return pipe being connected to the input end of the water tower to form a circulation loop, the number of the cold water pipes being the same as the number of the water inlet branch pipes; the water tower being connected to the chiller through the water inlet pipe, the chiller cooling the water from the water tower, and the cooled water flowing back into the water tower through the return pipe; S2. Real-time data transmission and processing: The temperature, pressure, flow, and leakage data collected by the sensors are uploaded to the data collection center in real time. The data collection center pre-processes the collected data through the edge computing platform and extracts key parameters, such as the temperature difference ΔT, the pressure difference ΔP, and the flow rate change rate dQ / dt. The real-time data is compared and analyzed with historical data to quickly calculate and generate a real-time status report. S3. Dynamic threshold setting and early warning: Based on different construction stages and ambient temperature factors, the control system automatically adjusts the preset thresholds for temperature difference ΔT, pressure difference ΔP, and flow rate change rate dQ / dt. The control system monitors the operating status of the cooling system based on real-time data and the preset thresholds, analyzing whether the temperature, pressure, and flow exceed the preset thresholds. If any abnormality is found, an early warning is automatically triggered; S4. Closed-loop control and execution: Based on data analysis and early warning, the control system automatically adjusts the working status of the cooling system.

2. The intelligent monitoring method for centralized cooling water pipes based on ship lock construction according to claim 1 is characterized in that: The temperature sensor in step S1 is arranged at the input end and output end of the cold water pipe to detect the temperature difference between the inflow and outflow of cooling water; the pressure sensor is installed at the top point and the bottom point of the cold water pipe to detect the pressure change in the cold water pipe; the flow sensor is installed on the water inlet branch and the return branch to monitor the water flow rate and flow; the leakage detection sensor is arranged at the pipe joints and areas prone to leakage to detect whether there is leakage in the water pipe, wherein the temperature sensor, the pressure sensor, the flow sensor and the leakage detection sensor are all electrically connected to the control system.

3. The intelligent monitoring method for centralized cooling water pipes based on ship lock construction according to claim 2 is characterized in that: The temperature difference ΔT in step S2 represents the difference between the water inlet temperature and the water outlet temperature of the cold water pipe, and satisfies the following relationship: △T=T in -T out Where △T is the temperature difference, T in is the water inlet temperature of the cold water pipe, T out is the outlet water temperature of the cold water pipe; The pressure difference ΔP is used to determine whether there is air blockage or unstable flow in the cold water pipe, and satisfies the following relationship: △P=P1-P2 Wherein, ΔP is the temperature difference, P1 is the pressure value at the top end of the cold water pipe, and P2 is the pressure value at the bottom end of the cold water pipe; The flow rate change rate dQ / dt is used to monitor whether the cooling water flow is stable and satisfies the following relationship: Where Q(t) is the flow rate value at the current time point, Q(t-△t) is the flow rate value at the previous time interval, and △t is the time interval.

4. The intelligent monitoring method for centralized cooling water pipes based on ship lock construction according to claim 3 is characterized in that: The temperature difference preset threshold in step S3 is determined according to the heat generated by the hydration heat of the concrete and satisfies the following relationship: Where, △T min Presetting a minimum threshold value for the temperature difference; △T max is the maximum value of the preset threshold value of the temperature difference; ρ is the density of water, which is 1000 kg / m 3 ; c is the specific heat capacity of water, which is 4200 J / (kg·℃); is the heat released by concrete hydration per unit time in the current construction stage, in W, i.e. J / s; Q'(t) is the cooling water flow rate preset according to the current construction stage, in m 3 / s; δ T The temperature fluctuation range is allowed in °C. Ambient temperature T at the current construction stage α When the temperature deviates from the set value T0, the ambient temperature correction coefficient γ is introduced. Therefore, the preset temperature difference threshold satisfies the following relationship after considering the ambient temperature deviation: △T' min =△T min +γ·(T α -T0); △T' max =△T max +γ·(T α -T0); The preset pressure difference threshold is determined according to the preset cooling water flow rate in the current construction phase. The Darcy-Weisbach equation is used to calculate the pressure loss of cooling water along the pipeline, which satisfies the following relationship: △P min =k·[Q'(t)] 2 +(α·△P n +b); △P max =k·[Q'(t)] 2 -(α·△P n +b); Where, △P n is the theoretical pressure difference, unit is Pa; △P min The minimum value of the preset threshold value of the pressure difference; △P max is the maximum value of the preset threshold value of the pressure difference; f is the friction coefficient of the cold water pipe, dimensionless; L is the length of the cold water pipe, in meters; D is the inner diameter of the cold water pipe, in meters; ρ is the density of water, which is 1000 kg / m 3 ; v is the cooling water flow rate, in m / s; Q'(t) is the cooling water flow rate preset according to the current construction stage, in m 3 / s; k is the pressure loss coefficient, unit is Pa·s 2 / m 6 ;α is the safety margin proportional coefficient, dimensionless; β is the additional safety pressure margin, in Pa; The flow rate change rate preset threshold is determined by the maximum design flow rate of cooling water Q max (t) Determine, satisfying the following relationship: Where, is the preset threshold value of the flow rate change rate, in m 3 / s 2 ;Q max (t) is the maximum design flow of cooling water in the current construction stage, in m 3 / s; μ is the system response coefficient, the unit is 1 / s.

5. The intelligent monitoring method for centralized cooling water pipes based on ship lock construction according to claim 4 is characterized in that: The temperature fluctuation range δ T Based on the concrete thermal stress theory, the maximum allowable tensile stress of concrete caused by temperature difference is determined to meet the following relationship: Where, δ T is the allowable temperature fluctuation range, in °C; σ max is the tensile strength of concrete, in Pa; α c is the coefficient of thermal expansion, unit is 1 / ℃; K T is the safety factor, dimensionless, the safety factor K T Considering the material inhomogeneity, safety is ensured by reducing the allowable temperature difference, so the safety factor K T ≥1.0; E is the elastic modulus of concrete, in Pa; τ is the Poisson's ratio of concrete, dimensionless; The safety margin proportional coefficient α is based on the stress-strength interference model to ensure that the actual pressure fluctuation is within the allowable range and satisfies the following relationship: Where Z R is the reliability coefficient, dimensionless; ε △P is the standard deviation of pressure fluctuation, in Pa; △P n is the theoretical pressure difference, unit is Pa.

6. The intelligent monitoring method for centralized cooling water pipes based on ship lock construction according to claim 1 is characterized in that: There are several chillers, which are operated in parallel to form a chiller unit; two booster pumps are provided between the water tower and the main water inlet pipe, one serving as a main pump and the other as a backup pump; a water distributor is provided between the main water inlet pipe and the water inlet branch pipe, which is used to distribute the water flow of the main water inlet pipe to each of the water inlet branches and ensure pressure balance; an automatic solenoid valve is provided between the water inlet branch pipe and the cold water pipe, which is used to adjust the water flow of the cold water pipe according to the early warning signal; a water pump is provided at the output end of the main return pipe, which is used to pump the water of the main return pipe back to the water tower to complete the circulation; wherein the booster pump, the water distributor, the automatic solenoid valve and the water pump are all electrically connected to the control system.

7. The intelligent monitoring method for centralized cooling water pipes based on ship lock construction according to claim 6 is characterized in that: In step S4, the control system automatically adjusts the working state of the cooling system, including the temperature difference ΔT exceeding the limit, the pressure difference ΔP exceeding the limit, and the flow rate change rate dQ / dt exceeding the limit. Temperature difference ΔT over-limit processing: When the temperature difference ΔT is greater than the maximum value of the preset temperature difference threshold, it indicates that the heat removed by the cooling water is insufficient and the temperature inside the concrete is too high. At this time, the control system automatically increases the cooling water flow rate in the current construction stage; when the temperature difference ΔT is less than the minimum value of the preset temperature difference threshold, it indicates that the cooling water is over-cooled, which will cause a large temperature difference between the inside and outside of the concrete. At this time, the control system automatically reduces the cooling water flow rate in the current construction stage; if the temperature difference ΔT still exceeds the limit after the automatic adjustment of the cooling water flow rate, an audible and visual alarm is triggered to notify the operation and maintenance personnel to check whether the sensor is faulty and to check whether the pipeline is blocked or leaking; Pressure difference ΔP exceeding the limit processing: When the pressure difference ΔP is greater than the maximum value of the preset pressure difference threshold, it indicates that the pipeline is blocked or the cooling water flow has suddenly increased. At this time, the control system automatically reduces the cooling water flow in the current construction phase and notifies the operation and maintenance personnel to check whether the pipeline is blocked. When the pressure difference ΔP is less than the minimum value of the preset pressure difference threshold, it indicates a pipeline leak or a water distributor failure. At this time, the control system automatically closes the automatic solenoid valve of the suspected leaking pipeline, isolates the faulty section, and starts the backup pump to maintain the normal operation of the main water inlet pipe; Flow rate change rate dQ / dt over-limit processing: When the flow rate change rate dQ / dt exceeds the preset threshold in the positive direction or the negative direction, it indicates that the automated solenoid valve is adjusting too fast. At this time, the control system performs ramp function processing on the target flow to avoid step changes, and issues a smooth adjustment instruction to the automated solenoid valve.

8. The intelligent monitoring method for centralized cooling water pipes based on ship lock construction according to claim 1 is characterized in that: The areas where cold water pipes need to be buried are foundation constraint areas, new and old concrete constraint areas, contact grouting areas, concrete poured from March to November, and other concrete that requires water cooling measures.

9. The intelligent monitoring method for centralized cooling water pipes based on ship lock construction according to claim 1 is characterized in that: If any abnormality is found in step S3, an early warning is automatically triggered. The operator is notified of the early warning information through a visual monitoring interface, mobile terminal push, or email.

10. The intelligent monitoring system for centralized cooling water pipes based on ship lock construction is characterized by: Used to implement the intelligent monitoring method for centralized cooling water pipes based on ship lock construction as described in any one of claims 1 to 9, the system includes: a monitoring data acquisition module, a data center processing module, a monitoring model generation module, and a monitoring data early warning module; The monitoring data acquisition module collects the cold water pipe monitoring data through multiple sensors and uniformly connects the cold water pipe monitoring data to the data center processing module; The data center processing module processes the received cold water pipe monitoring data to obtain characteristic information of the monitoring data; The monitoring model generation module establishes a monitoring model according to the monitoring data characteristic information, performs real-time monitoring according to the monitoring model, and generates monitoring results; The monitoring results are transmitted to the data center processing module, and the monitoring data early warning module generates an optimization strategy, constructs an early warning rating method, and generates monitoring early warnings.

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