A method for controlling water test data at the end of a sprinkler system and a monitoring device

Abstract

The application provides a kind of end water test data control method and monitoring device of sprinkler system, the method comprises: assembly monitoring device and connect to sprinkler system, input the length of water test connecting pipeline and water head loss correction coefficient;Open electric control valve, through flow sensor, pressure sensor and temperature sensor respectively collect real-time flow, real-time pressure and real-time water temperature;Based on the preset pipe material-flow-rate-hydraulic gradient database and water temperature correction coefficient database, the hydraulic gradient corresponding to real-time flow and the water temperature correction coefficient corresponding to real-time water temperature are calculated by interpolation algorithm;According to the correction formula, the correction pressure at the most unfavorable sprinkler head is calculated.The method can effectively eliminate the influence of water head loss and water temperature change of water test connecting pipeline on test data, make the installation position of the device unrestricted, still can accurately obtain the pressure value reflecting the real water supply state of system end, improve the reliability and evaluation accuracy of test.

Description

Technical Field

[0001] This invention relates to the field of sprinkler system technology, and specifically to a method and monitoring device for controlling end-of-pipe test water data of a sprinkler system. Background Technology

[0002] In automatic sprinkler systems, the end-point testing device is a key component for assessing system reliability. It must accurately monitor parameters such as the operating pressure of the sprinkler head at the most unfavorable point to meet national standards for safe system operation. With the development of digital technology, automatic end-point testing devices are gradually replacing traditional manual devices, but significant shortcomings remain in practical applications. In large buildings, due to drainage conditions, installation space, and decoration limitations, end-point testing devices often cannot be installed near the most unfavorable sprinkler head and must be connected via a relatively long testing connection pipe. Significant head loss occurs when water flows through this pipe, causing a large deviation between the measured pressure, flow rate, and other data and the actual conditions at the most unfavorable sprinkler head. This deviation prevents the test results from objectively reflecting the true water supply capacity of the sprinkler system's end point, seriously affecting the accuracy of fire protection facility readiness assessments.

[0003] Therefore, there is an urgent need for a data control method that can effectively eliminate the influence of head loss in the test connection pipeline, so that the end test device can obtain key parameters that can truly reflect the state of the sprinkler head at the most unfavorable point without being limited by the installation location. Summary of the Invention

[0004] The purpose of this invention is to overcome the shortcomings of existing technologies and proposes a method for controlling end-of-pipe test water data in a sprinkler system, comprising:

[0005] Step 1: Assemble the monitoring device and connect it to the sprinkler system. Enter the length of the test connection pipe and the head loss correction factor through the display operation module or the central host.

[0006] Step 2: Open the electric control valve to allow water to flow through the pipe. The flow sensor, pressure sensor, and temperature sensor respectively collect the real-time flow rate Q. x Real-time pressure P x and real-time water temperature T x ;

[0007] Step 3: Based on the preset pipe material-flow rate-velocity-hydraulic gradient database and water temperature correction coefficient database, calculate the corresponding Q using an interpolation algorithm. x Hydraulic gradient I x and corresponding T x Water temperature correction factor K x ;

[0008] Step 4: Calculate the correction pressure P at the most unfavorable sprinkler head according to the formula. 修 The formula is:

[0009] ;

[0010] Among them, P 修 To correct the pressure at the most unfavorable sprinkler head location, This is the measured pressure from the pressure sensor. This is a water temperature correction factor. For the hydraulic gradient at standard temperature, To test the length of the connecting pipe, This is the head loss correction factor.

[0011] In some implementations, the pipe-flow-velocity-hydraulic gradient database mentioned in step 3 is a database that stores flow ranges Q for different pipe materials and diameters at a standard temperature T0. min -Q max The flow rate is divided into n-1 segments to form n flow points. Each flow point stores the flow velocity and hydraulic gradient. The value of n ranges from 50 to 200.

[0012] In some implementations, step 3 involves calculating the hydraulic gradient I. x The interpolation algorithm is linear interpolation, when Q x Located at two continuous flow points Q a and Q b When the interval is between, the calculation formula is:

[0013] ;

[0014] in, and Q a and Q b The corresponding hydraulic gradient, .

[0015] In some implementations, the water temperature correction coefficient database mentioned in step 3 is a database containing the temperature range T0-T max Divide the temperature into n-1 equal segments to form n temperature points. Each temperature point corresponds to a stored correction coefficient value. When T x Located at two consecutive temperature points T a and T b During this period, the water temperature correction factor K x The calculation formula is:

[0016] ;

[0017] in, and T respectively a and T b The corresponding water temperature correction factor, .

[0018] In some implementations, when the temperature variation of the environment in which the sprinkler system is located is less than ±2℃, the temperature sensor acquisition step can be omitted, and the water temperature correction coefficient K can be directly applied. x Set to the corresponding value K at this stable ambient temperature. 定 At this point, the formula for calculating the correction pressure simplifies to:

[0019] ;

[0020] P 修 To monitor the pressure at the most unfavorable sprinkler head after correction; P X The measured pressure at the end-of-pipe water testing and monitoring device; K X Therefore, the corresponding value K at a stable ambient temperature 定 I X Calculate the hydraulic gradient at standard temperature T0; L is a fixed value, the length of the test connection pipe, directly entered during the initial setup of the end-point test monitoring device; δ is a fixed value, the head loss correction factor, directly entered during the initial setup of the end-point test monitoring device; K 定 It refers to a fixed water temperature correction factor that is predetermined based on a stable ambient temperature.

[0021] A sprinkler system end-of-line test water monitoring device, employing a sprinkler system end-of-line test water data control method provided in any of the above embodiments, includes a measurement and control unit, an intelligent control unit, a cable assembly, and a central host. The measurement and control unit is connected to the test water connection pipe and test water connector after the most unfavorable sprinkler head in the sprinkler system via a pipe. The intelligent control unit is connected to the measurement and control unit to process monitoring data. The cable assembly enables electrical connections between the various components. The central host communicates with the intelligent control unit to achieve network management. The measurement and control unit includes a pipe disposed within a sealed housing, on which an electrically controlled valve, a flow sensor, a pressure sensor, and a temperature sensor are sequentially mounted. The top of the sealed housing is openable, and the side wall has interfaces that connect to both ends of the pipe. The intelligent control unit is embedded in the sealed housing and includes a communication module, a storage module, a processing module, and a display and operation module. The central host can receive data transmitted by the intelligent control unit via cable or wireless means and can store and analyze the flow curves, pressure curves, and temperature curves of multiple monitoring devices in real time.

[0022] In some implementations, the sealing shell is made of corrosion-resistant alloy material and has a moisture-proof buffer layer inside. A sealing gasket is installed at the pipe interface. The sealing gasket is made of water-resistant rubber material and has a stepped cross-section, forming a double seal with the through hole of the pipe outer wall and the side wall of the sealing shell.

[0023] In some implementations, the flow sensor adopts an electromagnetic induction structure, with a smooth inner wall of its measurement channel and a turbulence suppression grid. The pressure sensor is a diffused silicon type with a sampling frequency of not less than 1 kHz. The temperature sensor is a platinum resistance type and is encapsulated in a copper heat-conducting sleeve, which is tightly fitted to the outer wall of the pipe.

[0024] In some implementations, the communication module of the intelligent control unit includes a wired communication unit and a wireless communication unit. The wired communication unit uses an RS485 interface and supports the Modbus protocol, while the wireless communication unit uses LoRa technology and has a transmission frequency of 433MHz. The two can be automatically switched by the processing module.

[0025] In some implementations, the cable assembly includes a cable and a quick-connect cable interface. The cable is a shielded twisted pair with an outer flame-retardant sheath. The quick-connect cable interface has a snap-fit ​​structure with a built-in dust cover, and the interface pins are gold-plated to reduce contact resistance.

[0026] Technical effects:

[0027] Through the synergistic action of four steps, a complete data acquisition, processing, and correction chain is constructed, effectively solving the core problem of data distortion caused by head loss in the test connection pipeline in the background technology. Step 1 is the foundation of the correction process. The length L of the test connection pipeline and the head loss correction coefficient δ are entered through the display operation module or central host, providing key custom parameters for subsequent quantitative calculation of head loss, enabling the method to adapt to different on-site installation conditions. Step 2 involves opening the electrically controlled valve and simultaneously collecting real-time flow rate Q using flow sensors, pressure sensors, and temperature sensors. x Real-time pressure P x and real-time water temperature T x This process acquires multidimensional raw data on water flow conditions, providing accurate input for subsequent calculations. Step 3 is the core data conversion step. Based on a pre-set database of pipe material, flow rate, velocity, and hydraulic gradient, as well as a database of water temperature correction coefficients, and using an interpolation algorithm, the real-time collected flow rate Q is converted into... x and water temperature T x Mapped to hydraulic gradient I at standard temperature respectively x and water temperature correction factor K x This transforms the field variables into standardized parameters that can be used for calibration calculations. Step 4 is the final synthesis and output stage, achieved through a comprehensive formula. The measured pressure P of the pressure sensor x Added with a water temperature correction factor K x Corrected, and by hydraulic gradient I xThe total head loss, calculated from the pipe length L and then fine-tuned by the head loss correction factor δ, is used to directly calculate the pressure P at the most unfavorable sprinkler head after correction. 修 .

[0028] These four interconnected steps, from parameter presetting, real-time data acquisition, data mapping to comprehensive correction, form a complete error compensation logic. This allows the monitoring device to eliminate the head loss caused by intermediate connecting pipes without needing to be installed close to the most unfavorable sprinkler head, and ultimately outputs a correction value P that accurately reflects the actual water supply pressure at the end of the pipe network. 修 This resolves the conflict between limited installation locations and data distortion, significantly improving the reliability of test data and the accuracy of system evaluation. Attached Figure Description

[0029] Figure 1 This is a flowchart of the control method for monitoring end-of-pipe water test data of the sprinkler system in this application;

[0030] Figure 2 This is a schematic diagram of the internal structure of a spray system end-point water testing and monitoring device according to this application;

[0031] Figure 3 This is a front view schematic diagram of a spray system end-of-line water testing and monitoring device according to this application;

[0032] Figure 4 This is a top view schematic diagram of a spray system end-of-line water testing and monitoring device according to this application.

[0033] In the picture:

[0034] 101. Pipeline; 102. Electrically controlled valve; 103. Flow sensor; 104. Pressure sensor; 105. Temperature sensor; 106. Sealed housing; 201. Main unit; 301. Cable; 302. Cable quick connector. Detailed Implementation

[0035] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0036] Traditional monitoring methods do not take into account head loss and water temperature effects in connecting pipes, and cannot eliminate the error between the test point and the most unfavorable sprinkler head, resulting in inaccurate assessment of the water supply status of the sprinkler system.

[0037] Based on this, please refer to Figure 1 This embodiment provides a method for controlling the end-of-pipe test data of a sprinkler system, including the following steps:

[0038] Step 1: Assemble the monitoring device and connect it to the sprinkler system. Enter the length of the test connection pipe and the head loss correction factor through the display operation module or the central host.

[0039] Step 2: Open the solenoid valve 102 to allow water to flow through pipe 101. The flow sensor 103, pressure sensor 104, and temperature sensor 105 collect the real-time flow rate Q. x Real-time pressure P x and real-time water temperature T x ;

[0040] Step 3: Based on the preset pipe material-flow rate-velocity-hydraulic gradient database and water temperature correction coefficient database, calculate the corresponding Q using an interpolation algorithm. x Hydraulic gradient I x and corresponding T x Water temperature correction factor K x ;

[0041] Step 4: Calculate the correction pressure P at the most unfavorable sprinkler head according to the formula. 修 The formula is:

[0042] ;

[0043] Among them, P 修 The pressure at the most unfavorable sprinkler head after calibration is measured in megapascals (MPA). The measured pressure of pressure sensor 104 is expressed in megapascals. This is a dimensionless water temperature correction factor. Hydraulic gradient at standard temperature, measured in megapascals per meter; The length of the test connection pipe is in meters. This is the head loss correction factor, which is dimensionless.

[0044] This technical solution achieves accurate data correction through four collaborative steps, forming a complete error compensation logic. Step 1 lays the foundation for correction. The input pipe length L of pipe 101 is a key parameter for head loss calculation. The head loss correction coefficient δ is used to compensate for factors such as pipe 101 material and inner wall roughness that are not fully covered by the hydraulic gradient. Both are input into the intelligent control department's storage module through the display operation module or the central host to ensure accurate subsequent calculations.

[0045] Step 2 relies on the multi-sensor system of the measurement and control department to collect key water flow parameters in real time: flow rate Q x Pressure P reflects the state of water flow velocity. x These are the raw pressure data and temperature T at the test point. x The three parameters are used to correct the effect of water temperature on the physical properties of water. They are transmitted to the intelligent control processing module via cable 301 to provide real-time input for subsequent interpolation calculations.

[0046] Step 3 is the core of data conversion. Based on a preset database, parameter mapping is achieved through interpolation algorithms: the pipe material-flow rate-velocity-hydraulic gradient database stores the correspondence between flow rate and hydraulic gradient for different pipe materials and diameters; the water temperature correction coefficient database stores the correlation between temperature and correction coefficient; and the processing module uses linear interpolation to convert the real-time collected Q... x T x Convert to the corresponding I x K x This solves the problem of not being able to directly obtain non-feature point parameters. Step 4 integrates the parameters through a correction formula, and the final output is P. 修 This solution accurately reflects the pressure at the most unfavorable nozzle location. It deeply integrates hardware data acquisition with algorithmic correction, achieving a precise mapping from test data to real-world conditions.

[0047] The technical benefits are: eliminating head loss and water temperature effects in the test connection pipeline, accurately reflecting the most unfavorable sprinkler water supply conditions, and improving the reliability of system evaluation.

[0048] Traditional pipe-flow-hydraulic gradient databases suffer from insufficient flow segmentation, leading to large interpolation calculation errors and an inability to accurately match the hydraulic gradient corresponding to the actual flow rate.

[0049] Based on this, the pipe material-flow rate-velocity-hydraulic gradient database mentioned in step 3 is based on different pipe materials and diameters under standard temperature T0, and includes the flow rate range Q. min -Q max The flow rate is divided into n-1 segments to form n flow points. Each flow point stores the flow velocity and hydraulic gradient. The value of n ranges from 50 to 200.

[0050] This technical solution improves interpolation accuracy through refined database design, providing a reliable foundation for hydraulic gradient calculation. The database is constructed based on a standard temperature T0, typically 20℃, at which point the physical properties of water are stable, ensuring the comparability of hydraulic gradient data for different pipe materials and diameters. For commonly used pipe materials in sprinkler systems, such as galvanized steel pipes and copper pipes, and their diameters, flow ranges Q are defined separately. min -Q max This range covers the possible flow rate range of the system. For example, the minimum flow rate corresponding to the most unfavorable nozzle operating pressure to the maximum test flow rate.

[0051] The interval is divided into n-1 equal segments to form n flow points. n, ranging from 50 to 200, balances accuracy and storage requirements: too small a n results in sparse segmentation and large interpolation errors; too large a n leads to database redundancy and increases the storage pressure on the intelligent control unit. Engineering verification shows that a range of 50-200 meets the accuracy requirements. Each flow point stores corresponding flow velocity and hydraulic gradient values. Flow velocity reflects the water flow state, and hydraulic gradient reflects the head loss per unit length of the test connection pipe. The correlation between these two values ​​provides a dual-parameter reference for subsequent interpolation, ensuring that when Q... X When the data is at a feature point, accurate data can be retrieved directly, which is the basis for step 3, I. x This lays the data foundation for calculations.

[0052] Its technical effects are: improving the accuracy of hydraulic gradient calculation, providing reliable data support for pressure correction, and reducing interpolation errors.

[0053] Traditional methods lack a clear algorithm for calculating the hydraulic gradient at non-characteristic flow points, leading to inaccurate assessment of head loss under such flow rates and affecting pressure correction results.

[0054] Based on this, step 3 calculates the hydraulic gradient I. X The interpolation algorithm is linear interpolation, when Q X Located at two continuous flow points Q a and Q b When the interval is between, the calculation formula is:

[0055] ;

[0056] in, and Q a and Q b The corresponding hydraulic gradient is expressed in megapascals per meter. , All figures are flow rates, expressed in cubic meters per hour.

[0057] This technical solution solves the problem of hydraulic gradient calculation at non-characteristic flow points through a linear interpolation algorithm, ensuring that accurate head loss parameters can be obtained under any flow rate.

[0058] When the real-time flow rate Q collected by the flow sensor 103 x When a flow does not fall within a predefined characteristic flow point in the database, the algorithm automatically locates the continuous flow interval Q in which it is situated. a Q b Q a Less than Q x The maximum characteristic flow point, Q b For greater than Q x The minimum characteristic flow point.

[0059] In the formula, The difference in hydraulic gradient between the two characteristic points. The ratio of the two flow rates is the difference between the two characteristic points, and it reflects the rate of change of hydraulic gradient corresponding to a unit change in flow rate. for and The difference in flow rate, multiplied by the rate of change, yields the result. Compared to The increase in hydraulic gradient, superimposed Later obtained .

[0060] This algorithm is based on an approximately linear relationship between flow rate and hydraulic gradient, and holds true within the low flow rate range. The calculation process is executed by the intelligent control unit's processing module, which calls database data from the storage module for real-time computation to ensure I... X Can dynamically follow Q X The changes provide accurate hydraulic gradient parameters for pressure correction in step 4.

[0061] Its technical effect is to achieve accurate calculation of hydraulic gradient at non-characteristic flow points, and to ensure accurate assessment of head loss under different flow rates.

[0062] Traditional methods do not consider the influence of water temperature on hydraulic gradient, or lack a method for calculating correction coefficients for non-characteristic temperature points, resulting in deviations in pressure correction when water temperature changes.

[0063] Based on this, the water temperature correction coefficient database mentioned in step 3 is the database for the temperature range T0-T max Divide the temperature into n-1 equal segments to form n temperature points. Each temperature point corresponds to a stored correction coefficient value. When T x Located at two consecutive temperature points T a and T b During this period, the water temperature correction factor K x The calculation formula is:

[0064] ;

[0065] in, and T respectively a and T b The corresponding water temperature correction factor is dimensionless. T a T b T x All values ​​are temperatures, in degrees Celsius.

[0066] This technical solution uses temperature segmentation and linear interpolation to dynamically correct the hydraulic gradient caused by water temperature, compensating for errors introduced by water temperature variations. The water temperature correction coefficient database is based on a standard temperature T0, where T... maxTo determine the maximum ambient temperature the sprinkler system can withstand, this range is divided into n-1 equal segments, forming n temperature points. The correction factor for each point is pre-calculated based on the changes in water density and viscosity with temperature, reflecting the ratio of the actual hydraulic gradient at different water temperatures to the hydraulic gradient at the standard temperature. For example, as water temperature increases, water viscosity decreases, and head loss decreases. X Less than 1.

[0067] When the temperature sensor 105 collects T x At continuous temperature point T a T b When the interval is between, the algorithm locates the interval and then calculates K using the formula. x : This is the difference in correction factors between the two temperature points. The ratio of these values ​​represents the temperature difference and reflects the rate of change of the correction factor corresponding to a unit change in temperature. for and The temperature difference, multiplied by the rate of change, gives T. x Relative to T a The increment of the correction coefficient, superimposed on K a K was obtained later. x .

[0068] This calculation is executed in real time by the intelligent control module to ensure that the correction intensity can be dynamically adjusted when the water temperature changes, providing accurate water temperature compensation parameters for the pressure correction in step 4.

[0069] Its technical effect is to eliminate the influence of water temperature changes on pressure correction and ensure accurate correction results under different temperature environments.

[0070] Traditional methods still perform the complete water temperature correction process in scenarios with small temperature changes, resulting in a waste of computing resources. Furthermore, there is a lack of simplified solutions when temperature sensors are not required, which affects the applicability of the device.

[0071] Therefore, when the temperature variation of the environment in which the sprinkler system is located is less than ±2℃, the temperature sensor 105 data acquisition step can be omitted, and the water temperature correction coefficient K can be directly applied. x When set to 1, the formula for calculating the correction pressure simplifies to:

[0072] ;

[0073] This technical solution improves the efficiency and applicability of the device in stable temperature environments through a simplified algorithm adapted to different scenarios. When the ambient temperature variation is less than ±2℃, the effect of water temperature on the physical properties of water is negligible. At this time, the changes in water density and viscosity are minimal, and the impact on hydraulic gradient is negligible. Therefore, there is no need for a temperature sensor 105 to collect T. XThere is no need to call the water temperature correction coefficient database and perform interpolation calculations; K can be directly applied. X Setting it to 1 simplifies the calibration process. The simplified formula retains the core calibration terms: To measure the actual pressure, K is the corrected total head loss. 定 This refers to a fixed water temperature correction factor predetermined based on a stable ambient temperature; the sum of the two is P. 修 .

[0074] This simplification is automatically determined and executed by the intelligent control processing module: by setting a preset temperature change threshold, when historical temperature data or environmental assessment meets the conditions, the processing module turns off the temperature sensor 105's acquisition function, calls the simplified formula for calculation, reduces the amount of data processing, and can also omit the temperature sensor 105 to reduce device cost.

[0075] Its technical benefits include: reducing unnecessary computation and hardware requirements, and improving the efficiency and economy of the device in a stable temperature environment.

[0076] Traditional sprinkler system end-of-line testing devices suffer from technical problems such as limited installation location, significant impact of test data on head loss in connecting pipes, and insufficient equipment sealing and environmental resistance, resulting in low monitoring accuracy and easy equipment damage.

[0077] Based on this, please refer to Figures 2-4 This embodiment provides a terminal water testing and monitoring device for a sprinkler system, including a measurement and control unit, an intelligent control unit, a cable assembly, and a central host. The measurement and control unit is connected to the test water connection pipe and test water connector after the most unfavorable sprinkler head in the sprinkler system via a pipe 101. The intelligent control unit is connected to the measurement and control unit to process monitoring data. The cable assembly realizes the electrical connection of each component. The central host communicates with the intelligent control unit to realize network management and control. The measurement and control unit includes a pipe 101 disposed in a sealed housing 106. An electrically controlled valve 102, a flow sensor 103, and a pressure sensor are sequentially mounted on the pipe 101. The device 104 and temperature sensor 105 are included. The sealed housing 106 has an openable top and a through-hole on the side wall for connecting to both ends of the pipe 101. The intelligent control unit is embedded in the sealed housing 106 and includes a communication module, a storage module, a processing module, and a display and operation module. The processing module is connected to the electric control valve 102, each sensor, and other modules to realize data processing and valve control. The central host can receive data transmitted by the intelligent control unit through cable 301 or wirelessly, and can store and analyze the flow curves, pressure curves, and temperature curves of multiple monitoring devices in real time.

[0078] This technical solution constructs a complete monitoring system by combining multi-sensor collaboration with intelligent control. The sealed housing 106 of the measurement and control unit provides protection for internal components, while the top can be opened for easy maintenance. Side wall interfaces ensure the stability of the connection between pipe 101 and the external environment. Electrically controlled valves 102, sequentially installed on pipe 101, control water flow. Flow, pressure, and temperature sensors simultaneously collect key parameters, providing a multi-dimensional basis for data correction. The intelligent control unit is embedded in the sealed housing 106, with clearly defined modules: the communication module handles internal and external data exchange, the storage module temporarily stores monitoring data, the processing module, as the core, receives sensor data, executes correction algorithms, and simultaneously controls the electrical control valves 102; and the display module enables human-machine interaction. The central host network is wirelessly connected via cables to centrally analyze data from multiple devices, generating flow, pressure, and temperature curves for global control. This solution breaks away from the traditional dependence on installation location, providing hardware support for precise monitoring through the integration of multi-sensor and data processing.

[0079] Its technical effects are: to solve the problems of installation limitations and data distortion, to achieve accurate monitoring and network control, and to improve system reliability.

[0080] Traditional devices have insufficient sealing performance and are susceptible to moisture and corrosive environments, which can lead to internal dampness, component damage, and affect monitoring stability.

[0081] Based on this, the sealing shell 106 is made of corrosion-resistant alloy material and has a moisture-proof buffer layer inside. A sealing gasket is installed at the interface of the pipe 101. The sealing gasket is made of water-resistant rubber material and has a stepped cross-section, forming a double seal with the through hole of the outer wall of the pipe 101 and the side wall of the sealing shell 106.

[0082] This technical solution enhances the equipment's sealing performance and environmental resistance from both material and structural aspects. The sealing shell 106 is made of corrosion-resistant alloy, which can withstand the humid environment around the spray system and the potential for chemical corrosion, preventing the shell from rusting and affecting its protective performance. The internal moisture-proof buffer layer uses porous adsorption material, which can absorb the trace amounts of water vapor that seep in, while also buffering the impact of external vibrations on the internal pipes 101 and sensors, reducing measurement errors caused by vibration.

[0083] The stepped sealing gasket at the interface of pipe 101 is the core sealing structure. The water-resistant rubber material ensures that it will not swell or age when in contact with water. The stepped cross-section design makes one side of the sealing gasket fit tightly against the outer wall of pipe 101, and the other side forms an interference fit with the inner wall of the through hole on the side wall of the sealing shell 106. The double contact surface increases the sealing pressure and effectively prevents water or water vapor from seeping into the equipment from the interface gap.

[0084] This structural design specifically addresses the problems of traditional flat gaskets having a single sealing surface and being prone to sealing failure due to installation errors.

[0085] Its technical effects are: improving the equipment's corrosion resistance and sealing performance, reducing the impact of the environment on the equipment, and ensuring long-term stable operation.

[0086] Traditional sensors have low measurement accuracy and are easily affected by water flow disturbances or environmental interference, resulting in inaccurate acquisition of flow, pressure, and temperature data, which affects subsequent calibration results.

[0087] Based on this, the flow sensor 103 adopts an electromagnetic induction structure, its measurement channel has a smooth inner wall and is provided with a turbulence suppression grid, the pressure sensor 104 is a diffused silicon type and the sampling frequency is not less than 1kHz, the temperature sensor 105 is a platinum resistance type and is encapsulated in a copper heat-conducting sleeve, and the heat-conducting sleeve is tightly fitted to the outer wall of the pipe 101.

[0088] This technical solution improves data acquisition accuracy and anti-interference capability by optimizing the sensor structure and type. The flow sensor 103 employs electromagnetic induction, utilizing Faraday's law of electromagnetic induction to measure water flow velocity. Its smooth inner wall of the measurement channel reduces water flow resistance and turbulence, avoiding measurement deviations caused by unstable water flow. The turbulence suppression grid, composed of several parallel bars, can streamline turbulent water flow into a laminar flow state, ensuring uniform water flow velocity cutting magnetic field lines and further improving flow measurement accuracy. The pressure sensor 104 uses a diffused silicon type; its semiconductor strain gauge is sensitive to pressure changes, and its sampling frequency of at least 1kHz can quickly capture instantaneous fluctuations in water flow pressure, avoiding the loss of critical pressure changes due to excessively long sampling intervals.

[0089] Temperature sensor 105 is a platinum resistance thermometer, whose resistance changes linearly with temperature, resulting in high measurement accuracy. The copper heat-conducting sleeve has a high thermal conductivity and fits tightly against the outer wall of pipe 101, rapidly conducting the water temperature inside pipe 101 and reducing the influence of ambient temperature on the measurement, ensuring that the temperature data accurately reflects the water flow temperature. The optimized structure of each sensor creates a synergistic effect, providing high-quality raw data for subsequent data calibration.

[0090] Its technical effects are: to improve data acquisition accuracy and anti-interference ability, and to provide a reliable data foundation for accurate calibration.

[0091] Traditional devices rely on a single communication method, which can easily lead to transmission interruptions or data loss in complex building environments, affecting the stability of network management and control.

[0092] Based on this, the communication module of the intelligent control unit includes a wired communication unit and a wireless communication unit. The wired communication unit adopts an RS485 interface and supports the Modbus protocol, while the wireless communication unit adopts LoRa technology and has a transmission frequency of 433MHz. The two can be automatically switched through the processing module.

[0093] This technical solution ensures the stability and flexibility of data transmission through a dual communication unit design and automatic switching mechanism. The wired communication unit uses an RS485 interface, whose differential transmission mode has strong anti-common-mode interference capability and is suitable for long-distance data transmission. The supported Modbus protocol is a common protocol in the industrial field, ensuring compatibility with the central host and other equipment, and can stably transmit the raw data and correction results collected by the sensors.

[0094] The wireless communication unit employs LoRa technology, with a 433MHz transmission frequency exhibiting strong diffraction capabilities in built-up environments and minimal signal attenuation when penetrating obstacles. This makes it suitable for long-distance wireless communication in large buildings such as integrated transportation hubs, meeting the networking requirements for distributed device deployments. The processing module monitors the signal strength and transmission status of both communication methods in real time. When one method experiences an interruption or excessively high bit error rate, it automatically switches to the other. During the switching process, data is temporarily stored in the storage module to prevent data loss. This design overcomes the limitations of a single communication method in complex environments, achieving seamless data transmission.

[0095] Its technical effects are: ensuring stable and reliable data transmission, and improving the flexibility and adaptability of network management and control.

[0096] Traditional cable assemblies are susceptible to electromagnetic interference and mechanical damage, and unreliable interface connections can lead to signal transmission distortion or interruption, affecting the collaborative operation of equipment.

[0097] Based on this, the cable assembly includes a cable 301 and a cable quick connector 302. The cable 301 is a shielded twisted pair cable with an outer flame-retardant sheath. The cable quick connector 302 has a snap-fit ​​structure and a built-in dust cover. The connector pins are gold-plated to reduce contact resistance.

[0098] This technical solution optimizes connection performance from both the cable 301 and the interface. Cable 301 uses shielded twisted-pair cable, whose twisted pairs of wires can cancel out some electromagnetic interference. The outer metal shielding layer further blocks external electromagnetic signals, such as interference from motors and other electronic devices, ensuring that weak signals between the sensor and the intelligent control unit, such as the millivolt-level signal of the pressure sensor 104, are not interfered with, thus ensuring the accuracy of data transmission. The outer flame-retardant sheath is made of polyvinyl chloride, which has good wear resistance and aging resistance, and is not easily combustible in high-temperature environments, improving the safety of cable 301 in fire-fighting environments.

[0099] The cable quick connector 302 features a snap-fit ​​structure, ensuring a secure connection through mechanical locking and preventing detachment due to vibration or accidental contact. A built-in dust cover closes when the connector is not connected, preventing dust and moisture from entering. Gold plating on the connector pins forms a dense protective layer, reducing the probability of pin oxidation. Furthermore, gold's excellent conductivity reduces contact resistance, ensuring smooth current and signal transmission. This design comprehensively enhances the reliability and environmental adaptability of the cable 301 connection.

[0100] Its technical effects are: reducing interference and connection failures, ensuring stable signal transmission, and extending the service life of cable 301.

[0101] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention in any other way. Any person skilled in the art may make changes or modifications to the above-disclosed technical content to create equivalent embodiments that can be applied to other fields. However, any simple modifications, equivalent changes, and modifications made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the protection scope of the present invention.

Claims

1. A method for controlling end-of-pipe test data of a sprinkler system, characterized in that, include: Step 1: Assemble the monitoring device and connect it to the sprinkler system. Enter the length of the test connection pipe and the head loss correction factor through the display operation module or the central host. Step 2: Open the electric control valve to allow water to flow through the pipe. The flow sensor, pressure sensor, and temperature sensor respectively collect the real-time flow rate Q. x Real-time pressure P x and real-time water temperature T x ; Step 3: Based on the preset pipe material-flow rate-velocity-hydraulic gradient database and water temperature correction coefficient database, calculate the corresponding Q using an interpolation algorithm. x Hydraulic gradient I x and corresponding T x Water temperature correction factor K x ; Step 4: Calculate the corrected pressure P at the most unfavorable sprinkler location according to the formula 修 P = P + 0.5 * (P - P) ； Among them, P 修 To correct the pressure at the most unfavorable sprinkler head location, This is the measured pressure from the pressure sensor. This is a water temperature correction factor. For the hydraulic gradient at standard temperature, To test the length of the connecting pipe, This is the head loss correction factor.

2. The method of claim 1, wherein the method further comprises: The pipe material-flow rate-velocity-hydraulic gradient database mentioned in step 3 is based on different pipe materials and diameters at a standard temperature T0, and includes flow rate ranges Q. min -Q max The flow rate is divided into n-1 segments to form n flow points. Each flow point stores the flow velocity and hydraulic gradient. The value of n ranges from 50 to 200.

3. The method of claim 1, wherein the method further comprises: Step 3 calculates the hydraulic gradient I. x The interpolation algorithm is linear interpolation, when Q x Located at two continuous flow points Q a and Q b When the interval is between, the calculation formula is: ； wherein and are Q a and Q b corresponding hydraulic gradient, .

4. The method of claim 1, wherein the method further comprises: The water temperature correction coefficient database mentioned in step 3 is the database for the temperature range T0-T max Divide the temperature into n-1 equal segments to form n temperature points. Each temperature point corresponds to a stored correction coefficient value. When T x Located at two consecutive temperature points T a and T b During this period, the water temperature correction factor K x The calculation formula is: ； in, and T respectively a and T b The corresponding water temperature correction factor, .

5. The method of claim 1, wherein the method further comprises: When the temperature variation of the environment in which the sprinkler system is located is less than ±2℃, the temperature sensor acquisition step can be omitted, and the water temperature correction coefficient K can be directly applied. x Set to the corresponding value K at this stable ambient temperature. 定 At this point, the formula for calculating the correction pressure simplifies to: ； P 修 To monitor the pressure at the most unfavorable sprinkler head after correction; P X The measured pressure at the end-of-pipe water testing and monitoring device; K X Therefore, the corresponding value K at a stable ambient temperature 定 ;I X Calculate the hydraulic gradient at standard temperature T0; L is a fixed value, the length of the test connection pipe, directly entered during the initial setup of the end-point test monitoring device; δ is a fixed value, the head loss correction factor, directly entered during the initial setup of the end-point test monitoring device; K 定 It refers to a fixed water temperature correction factor that is predetermined based on a stable ambient temperature.

6. A water testing device for the end of a sprinkler system, using a water testing data control method according to any one of claims 1 to 5, characterized in that, The system includes a measurement and control unit, an intelligent control unit, a cable assembly, and a central host. The measurement and control unit is connected to a test water connection pipe and a test water connector after the most unfavorable sprinkler head of the sprinkler system via a pipeline. The intelligent control unit is connected to the measurement and control unit to process monitoring data. The cable assembly enables electrical connections between the various components. The central host communicates with the intelligent control unit to achieve network management. The measurement and control unit includes a pipe housed in a sealed housing, on which an electrically controlled valve, a flow sensor, a pressure sensor, and a temperature sensor are sequentially mounted. The top of the sealed housing is openable, and the side walls have interfaces that connect to both ends of the pipe. The intelligent control unit is embedded in the sealed housing and includes a communication module, a storage module, a processing module, and a display and operation module. The central host can receive data transmitted by the intelligent control unit via cable or wireless means and can store and analyze the flow curves, pressure curves, and temperature curves of multiple monitoring devices in real time.

7. The end-of-sprinkler water test monitoring device of claim 6, wherein, The sealing shell is made of corrosion-resistant alloy material and has a moisture-proof buffer layer inside. A sealing gasket is installed at the pipe interface. The sealing gasket is made of water-resistant rubber material and has a stepped cross-section, forming a double seal with the pipe outer wall and the through hole on the side wall of the sealing shell.

8. The end of line test and go device of claim 6, wherein the water is sprayed on the product by a spray bar. The flow sensor adopts an electromagnetic induction structure. Its measurement channel has a smooth inner wall and is equipped with a turbulence suppression grid. The pressure sensor is a diffused silicon type with a sampling frequency of not less than 1kHz. The temperature sensor is a platinum resistance type and is encapsulated in a copper heat-conducting sleeve, which is tightly fitted to the outer wall of the pipe.

9. A spray system end-of-line water testing and monitoring device according to claim 6, characterized in that, The communication module of the intelligent control unit includes a wired communication unit and a wireless communication unit. The wired communication unit adopts an RS485 interface and supports the Modbus protocol, while the wireless communication unit adopts LoRa technology and has a transmission frequency of 433MHz. The two can be automatically switched through the processing module.

10. The end of line test and go device of claim 6, wherein, The cable assembly includes a cable and a quick-connect cable interface. The cable is a shielded twisted pair with an outer flame-retardant sheath. The quick-connect cable interface has a snap-fit ​​structure and a built-in dust cover. The interface pins are gold-plated to reduce contact resistance.

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