Pipe section adjusting device and method for electromechanical engineering construction

Abstract

The invention discloses a pipe section adjusting device and method for electromechanical engineering construction, and the method comprises the steps that the pipe section adjusting device collects data in real time through a flow sensor, a pressure sensor and a temperature sensor, a control module automatically adjusts a valve according to a valve adjusting algorithm, and fluid parameters are maintained within a preset range; when abnormity occurs, an alarm is triggered and uploaded data is recorded; remote monitoring and parameter adjustment are supported through the Internet of Things; the intelligent system generates an equipment maintenance report and a regular maintenance suggestion based on the historical data; according to the pipe section adjusting device and method for electromechanical engineering construction, the adjusting precision and adaptability are improved through innovative design, and the installation and maintenance process is simplified.

Description

TECHNICAL FIELD

[0001] The application belongs to the field of pipe section adjustment for mechanical and electrical engineering construction, and particularly relates to a pipe section adjustment device and method for mechanical and electrical engineering construction. BACKGROUND

[0002] A pipe section adjustment device for mechanical and electrical engineering construction generally refers to a device used for adjusting the length, position or angle of a pipe section in a piping system. Such devices are widely used in various types of mechanical and electrical engineering, such as the installation and maintenance of water supply, gas supply, heating, ventilation and air conditioning systems. A control valve is used to control fluid flow. According to design requirements, different types of valves are selected. Expansion joints allow the pipe to adjust in length due to thermal expansion and contraction or other movements. Support frames ensure the stability and support of the pipe to prevent deformation caused by the weight of the pipe or external forces. Flange connectors are used for the connection and separation of pipes, facilitating disassembly and maintenance. By manually rotating or pulling the control valve, expansion joint and other components, the position or flow can be accurately adjusted. This method is suitable for situations where the flow changes are not very frequent. Sensors and control systems are used to automatically monitor the operating state of the system and automatically adjust the opening and closing degree or position of the pipe section according to preset parameters. This method is more common in situations that require dynamic adjustment. During construction, on-site debugging is performed according to the actual situation to achieve optimal pipe configuration and fluid operation effect. Regular inspection and adjustment of the adjustment device, including cleaning the valve and checking the sealing, ensure that it always maintains good working condition. The device is used to adjust water flow and pressure to ensure stable operation of the water system. By adjusting the valve and expansion joint, the flow of cold and hot fluids is controlled to maintain the desired indoor temperature. In industrial production processes, fluid is transported and controlled to ensure smooth production processes.

[0003] However, in mechanical and electrical engineering construction, pipe section adjustment devices and their adjustment methods, although they play an important role in many applications, may have some defects and limitations. The existing pipe section adjustment devices generally have the defects of insufficient adjustment accuracy, complex installation and maintenance, poor adaptability and high risk of failure, which affect the efficiency and reliability of mechanical and electrical engineering construction. SUMMARY

[0004] To overcome the deficiencies in the prior art, the purpose of the present application is to provide a pipe section adjustment device and method for mechanical and electrical engineering construction, which improves the adjustment accuracy and adaptability through innovative design and simplifies the installation and maintenance process.

[0005] The technical solution adopted by the application to solve its technical problems is:

[0006] A pipe section adjustment device for mechanical and electrical engineering construction, comprising:

[0007] The adjusting valve unit includes a flow sensor, a pressure sensor and a temperature sensor integrated in the valve body structure. By monitoring the flow, pressure and temperature data of the pipe section in real time, the opening of the valve is automatically adjusted. The valve controller adjusts the opening of the valve in real time according to the data fed back by the sensors.

[0008] The control module is integrated in the main body structure of the adjusting device. It receives real-time data from the flow, pressure and temperature sensors, and accurately controls the opening of the valve according to the preset adjusting algorithm. The module uses embedded microprocessors and Internet of Things technology to realize remote control and monitoring. Through connection with external monitoring systems, the control module performs remote fault diagnosis.

[0009] The multifunctional expansion joint is designed to be adjustable, expandable and retractable to adapt to the length changes of the pipeline in different environments. The expansion joint uses sealing materials.

[0010] The modular interface system uses standardized design. The components are connected through modular interfaces to ensure easy assembly and maintenance of the equipment.

[0011] The intelligent feedback and alarm system continuously detects the operating state of the pipe section through the built-in real-time monitoring mechanism. Once an abnormality occurs, the system will promptly notify the operator to handle it through the alarm mechanism. At the same time, the system records the operating history data of the equipment and predicts the maintenance period based on big data analysis to generate preventive maintenance recommendations.

[0012] A pipe section adjusting method for mechanical and electrical engineering construction, comprising the following steps:

[0013] The flow, pressure and temperature sensors in the adjusting device collect the parameters of the fluid in the pipe section in real time. The data is transmitted to the control module of the adjusting device for preliminary analysis and processing.

[0014] The control module uses the adjusting valve control algorithm to automatically adjust the opening of the adjusting valve based on the real-time collected data, so that the flow, pressure and temperature parameters of the fluid in the pipe section are kept within the preset threshold range.

[0015] When the flow or pressure of the pipe section exceeds the preset threshold, the intelligent control module will immediately trigger the alarm system to notify the operator to check and repair. At the same time, the control module will record all abnormal events and upload relevant data to the external remote monitoring system.

[0016] The adjusting device is connected to external equipment through Internet of Things technology. The operator can remotely monitor the pipe section adjusting device through mobile phones, computers and other terminal devices. The operator can remotely adjust the adjusting strategy of the pipeline according to actual needs and modify the flow and pressure parameters in real time.

[0017] Based on historical operation data, the intelligent control system automatically analyzes the use of the device, generates a device maintenance report, and generates a regular maintenance recommendation based on the operating status of the device.

[0018] As preferred, by adjusting the flow, pressure and temperature sensors in the device, the parameters of the fluid in the pipe section are collected in real time, the data is transmitted to the control module of the adjusting device, and the method for preliminary analysis and processing is:

[0019] The flow regulation is based on the flow of the fluid in the pipeline, and the reading provided by the flow sensor is the volumetric flow or mass flow, and the flow regulation formula is:

[0020] Q=A·v

[0021] Wherein, Q is the flow; A is the cross-sectional area of the pipeline; v is the flow rate of the fluid;

[0022] The flow rate is calculated by the relationship between pressure and density:

[0023]

[0024] Wherein, ΔP is the pressure difference between the two ends of the pipeline; ρ is the density of the fluid;

[0025] The pressure data provided by the pressure sensor is used to control the opening of the valve and adjust the pressure of the pipeline system, and the pressure regulation formula is:

[0026] ΔP=P in -P out

[0027] Wherein, ΔP is the pressure difference; P in is the inlet pressure of the pipeline; P out is the outlet pressure of the pipeline;

[0028] The pressure control formula is based on the proportional control method:

[0029] P adjusted =K p ·(P desired -P ccrrent )

[0030] Wherein, P adjusted is the adjusted pressure value; P desired is the target pressure; P current is the current pressure; K p is the proportional coefficient;

[0031] The temperature sensor data is used to adjust the heat exchange of the fluid or keep the temperature of the pipeline stable, and the basic formula of temperature regulation is based on the principle of heat exchange, and the formula is:

[0032] Q=m·c·ΔT

[0033] Wherein, Q is the heat transferred; m is the mass flow rate of the fluid; c is the specific heat capacity of the fluid; ΔT is the temperature change.

[0034] As a preferred, the control module adjusts the opening of the regulating valve according to the real-time collected data, using a regulating valve control algorithm, to keep the flow, pressure and temperature parameters of the fluid in the pipe section within the preset threshold range, and the method is:

[0035] For the flow, pressure and temperature parameters, the PID algorithm of the control module adjusts the opening of the regulating valve according to the deviation between the actual parameters and the target set value, and the PID control formula is:

[0036]

[0037] Wherein, u(t) is the control amount; e(t) is the error; K p is the proportional coefficient; K i is the integral coefficient; K d is the differential coefficient;

[0038] Control process:

[0039] The proportional part adjusts the valve opening according to the current error, and the greater the error, the greater the adjustment of the valve opening;

[0040] The integral part accumulates the past error, and adjusts the deviation of the system by correcting the long-term accumulated error;

[0041] The differential part predicts the future error according to the rate of change of the error, and adjusts the valve opening in advance;

[0042] The adaptive control method is based on parameter identification, controller adjustment and real-time adjustment process;

[0043] The working process of the control module is:

[0044] Real-time monitoring of fluid state through flow, pressure and temperature sensors;

[0045] Compare the actual data obtained by the sensor with the preset target threshold value, and calculate the error;

[0046] Adjust the opening of the regulating valve in real time according to the error and the control algorithm;

[0047] The system continuously adjusts the valve opening through the feedback signal until all parameters are stable within the preset range.

[0048] As a preferred, when the flow or pressure of the pipe section exceeds the preset threshold value, the intelligent control module will immediately trigger the alarm system to inform the operator to check and repair, at the same time, the control module will record all abnormal events, and upload the related data to the external remote monitoring system.

[0049] The intelligent control module continuously collects data from the flow and pressure sensors and compares them with the preset thresholds, setting:

[0050] Q(t) is the current flow value; P(t) is the current pressure value; Q max and P max are the upper threshold values of flow and pressure; Q min and P min are the lower threshold values of flow and pressure;

[0051] When the flow or pressure of the pipe section exceeds the preset threshold, the alarm mechanism is triggered, and the condition is set as:

[0052] If Q(t)>Q max or Q(t)<Q min or P(t)>P max or P(t)<P min

[0053] When an anomaly is detected, the control module immediately triggers the alarm system, and the triggering of the alarm is represented by the following formula:

[0054] A(t)=f(Q(t),P(t))

[0055] Where A(t) is the alarm signal, if A(t)=1, it means triggering the alarm, if A(t)=0, it means normal; f(Q(t),P(t)) is the anomaly detection function, which calculates whether the threshold is exceeded according to the real-time values of flow and pressure;

[0056] Once the alarm is triggered, the system will notify the operator by sending a short message, an email or other communication methods, starting the alarm light or sound prompt method;

[0057] When an anomaly occurs, the control module records all related anomaly event data, the content of the record usually includes the time of anomaly occurrence, flow, pressure value, anomaly type, device state, and the record formula is:

[0058] EventRecord={t alarm ,Q(t alarm ),P(t alarm ),Type}

[0059] All anomaly event data, flow, pressure value and related alarm records will be uploaded to the external remote monitoring system through the data communication interface, and the upload formula is:

[0060] UploadData(t alarm ,Q(t alarm ),P(talarm ), Type)

[0061] The data uploading process is realized through a wireless communication interface and a wired communication interface.

[0062] As a preferred, the adjusting device is connected with external equipment through Internet of Things technology, and the operator remotely monitors the pipe segment adjusting device through a mobile phone or a computer remote terminal device. The operator remotely adjusts the adjusting strategy of the pipeline according to actual requirements, and the method for real-time modification of the flow and pressure parameters is as follows:

[0063] Through the Internet of Things technology, the pipe segment adjusting device collects data in real time and transmits the data to a remote monitoring platform. The process is expressed by the following formula:

[0064] Q(t) is a current flow value, P(t) is a current pressure value, and T(t) is a current temperature value.

[0065] Q target and Ptarget are target flow and pressure values.

[0066] Real-time data acquisition formula:

[0067] Data(t) = [Q(t), P(t), T(t)]

[0068] A new target flow and pressure value Q new and P new are input through a remote terminal, and the adjusting strategy of the pipeline needs to be adjusted according to the target values. The adjustment formula is as follows:

[0069] Adjust(Q new ,P new ,A valve ) = f(Q(t), P(t), Q new ,P new )

[0070] The adjustment function f adjusts the valve opening degree through PID control or other adjusting algorithms. When PID control is used, the following formula is used:

[0071]

[0072] A valve (t) is the opening degree of the adjusting valve, K p , K i , and K d are the proportional, integral, and differential coefficients of the PID controller; Q new and P new are the new target flow and pressure values set by the operator;

[0073] After the operator adjusts the valve opening, the system monitors the pipeline status in real-time through IoT technology and feeds back the adjusted flow and pressure data to the remote terminal equipment. The feedback formula is:

[0074] Feedback(t) = [Q(t), P(t), A valve (t)]

[0075] At the same time, the system uploads the operator's adjustment instructions, including the target flow and pressure values, and the corresponding valve adjustment information.

[0076] As a preferred method, based on historical operation data, the intelligent control system automatically analyzes the usage status of the equipment, generates a device maintenance report, and according to the running state of the equipment, generates a method for periodic maintenance suggestion:

[0077] Let D(t) be the running data of the equipment at time t; T min and T max are the minimum and maximum normal values of the equipment operation;

[0078] The data collection formula is:

[0079] D(t) = [Temp(t), Vibration(t), Load(t),...]

[0080] By analyzing the historical data, the intelligent control system evaluates the current running status of the equipment. The system calculates the running mode of the equipment according to the historical data, identifies potential failure risks or performance degradation;

[0081] Let Status(t) be the status evaluation result of the equipment at time t; R threshold is the standard value of the normal operation of the equipment;

[0082] The state analysis formula is:

[0083] Status(t) = f(D(t), R threshold )

[0084] Wherein, the function f evaluates the running state of the equipment based on threshold comparison, statistical analysis or machine learning algorithm;

[0085] The system generates the report content through the following formula:

[0086] MaintenanceReport = [TimePeriod, Status(t), FailureEvents, Anomalies,...]

[0087] Wherein, TimePeriod is the time period of equipment monitoring; FailureEvents is the number and type of equipment failures or abnormalities; Anomalies is the abnormal data appeared in the operation of equipment;

[0088] According to the running status of the equipment, the intelligent control system automatically analyzes whether the equipment needs regular maintenance, and the maintenance suggestion is generated according to the following factors:

[0089] The current health status of the equipment;

[0090] Whether the threshold of regular maintenance is reached;

[0091] Whether abnormal signs appear, predicting potential equipment failure;

[0092] Regular maintenance suggestion formula:

[0093] MaintenanceSuggestion=g(Status(t),UsageDuration,FailureRisk)

[0094] Wherein, UsageDuration is the running duration or usage frequency of the equipment since the last maintenance; FailureRisk is the equipment failure risk calculated based on historical data and status analysis.

[0095] Another technical problem to be solved by the present application is to provide an electronic device, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the program to achieve the pipe section adjusting device and adjusting method for mechanical and electrical engineering construction as any one of the above.

[0096] Another technical problem to be solved by the present application is to provide a computer readable storage medium, which stores a computer program, and the program is executed by a processor to achieve the pipe section adjusting device and adjusting method for mechanical and electrical engineering construction.

[0097] The beneficial effects of the present application are:

[0098] The system can monitor the state of the fluid in real time by collecting various parameters of the fluid in the pipe section through flow, pressure and temperature sensors; the introduction of the intelligent control module makes the pipe section adjustment process more automated, and the control algorithm of the regulating valve can automatically adjust the opening of the valve according to real-time data, reducing the need for manual intervention and avoiding risks and instability caused by human operation errors; through the Internet of Things technology, the regulating device is connected with external equipment, and the operator can remotely monitor and adjust the pipe section through a mobile phone or a computer terminal device. This remote operation not only improves the management efficiency of the system, but also enables cross-regional management, so that the operator can understand the system state in time and make necessary adjustments anywhere; when the flow or pressure of the pipe section exceeds the preset threshold, the intelligent control module will immediately trigger the alarm system and notify the operator to check and repair; based on historical operation data, the intelligent control system can automatically analyze the use of the equipment and generate equipment maintenance reports, so that the operator can understand the state of the equipment and perform maintenance and repair in advance; through continuous monitoring, data analysis and real-time adjustment, this scheme can effectively reduce the safety hazards caused by equipment failure or parameter exceeding the normal range, especially in complex mechanical and electrical engineering construction, it can automatically monitor the system and respond to sudden problems in time, significantly improving the safety of the system; since the system can automatically collect, analyze, alarm and adjust data, the frequency of manual intervention is greatly reduced, thereby saving the time and labor cost of the operator; through accumulation of a large amount of historical data, the intelligent system can perform in-depth analysis and make optimization suggestions according to the actual operation of the equipment, which not only helps the operator make more accurate decisions, but also provides data support for future system improvement. DETAILED DESCRIPTION

[0099] The principles and features of the present application are described below, and the examples are used only to explain the present application and are not intended to limit the scope of the present application. In the following paragraphs, the present application is described in more detail by way of example. The advantages and features of the present application will be more apparent from the following description and claims.

[0100] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used in the description of the application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used herein, the term "and / or" includes any and all combinations of one or more of the associated listed items.

[0101] EMBODIMENT

[0102] The technical solution adopted by the present application to solve its technical problems is:

[0103] A pipe section adjusting device for mechanical and electrical engineering construction comprises:

[0104] The regulating valve unit includes a flow sensor, a pressure sensor, and a temperature sensor integrated in the valve body structure. By monitoring the flow, pressure, and temperature data of the pipe section in real time, the valve controller automatically adjusts the opening degree of the valve based on the sensor feedback data.

[0105] The control module is integrated into the main body structure of the regulating device. It receives real-time data from the flow, pressure, and temperature sensors and accurately controls the valve opening degree based on the preset regulating algorithm. The module uses embedded microprocessors and Internet of Things technology for remote control and monitoring. Through connection with external monitoring systems, the control module performs remote fault diagnosis.

[0106] The multifunctional expansion joint is designed to be adjustable, expandable, and retractable to adapt to changes in pipe length in different environments. The expansion joint uses sealing materials.

[0107] The modular interface system uses standardized design, with components connected through modular interfaces, ensuring easy assembly and maintenance of the equipment.

[0108] The intelligent feedback and alarm system continuously monitors the operating status of the pipe section through the built-in real-time monitoring mechanism. If an anomaly occurs, the system will promptly notify the operator through the alarm mechanism for processing. Meanwhile, the system records the operating history data of the equipment and predicts the maintenance cycle based on big data analysis, generating preventive maintenance recommendations.

[0109] Through integrated flow, pressure, and temperature sensors, the device can monitor the dynamic changes of the fluid in the pipe section in real time. Based on sensor data, the valve controller automatically adjusts the valve opening degree, ensuring that the fluid flow, pressure, and temperature are always within the preset safe range. Through embedded microprocessors and Internet of Things technology, the control module not only receives and processes field data but also enables remote control and monitoring. The multifunctional expansion joint is designed to be adjustable, expandable, and retractable, allowing it to adapt to changes in pipe length in different environments, enhancing the system's adaptability and flexibility. The modular interface system uses standardized design, with components connected through modular interfaces, making equipment assembly very simple, and maintenance and replacement of parts do not require complicated disassembly steps, saving time and cost. The intelligent feedback system can detect the operating status of the pipe section in real time, promptly identify abnormal problems, and notify the operator through the alarm mechanism for processing. Based on big data analysis, the system can predict the maintenance cycle of the equipment and provide regular maintenance recommendations, reducing the probability of unexpected failures.

[0110] A pipe section regulating method for mechanical and electrical engineering construction includes the following steps:

[0111] Through the flow, pressure and temperature sensors in the regulating device, the parameters of the fluid in the pipe section are collected in real time, the data is transmitted to the control module of the regulating device for preliminary analysis and processing;

[0112] The control module automatically adjusts the opening of the regulating valve based on the real-time collected data using the regulating valve control algorithm, to keep the flow, pressure and temperature parameters of the fluid in the pipe section within the preset threshold range;

[0113] When the flow or pressure of the pipe section exceeds the preset threshold, the intelligent control module will immediately trigger the alarm system to notify the operator to check and repair, at the same time, the control module will record all abnormal events and upload the related data to the external remote monitoring system;

[0114] The regulating device is connected with external equipment through Internet of Things technology, and the operator can remotely monitor the pipe section regulating device through mobile phone or computer terminal equipment, and the operator can remotely adjust the pipe regulating strategy according to actual needs and modify the flow and pressure parameters in real time;

[0115] Based on historical operation data, the intelligent control system automatically analyzes the usage of the equipment, generates equipment maintenance reports, and generates periodic maintenance recommendations according to the running state of the equipment.

[0116] Through the flow, pressure and temperature sensors, the regulating device can collect the fluid data in the pipe section in real time and accurately monitor the running state of the pipe system; when the flow or pressure of the pipe section exceeds the preset threshold, the control module will immediately trigger the alarm system to timely notify the operator to handle; through the Internet of Things technology, the regulating device is connected with external equipment, and the operator can monitor the running state of the pipe section in real time through mobile phone or computer; based on historical operation data, the intelligent control system can automatically analyze the usage of the equipment, which not only helps to evaluate the current running state of the equipment, but also can predict the health status of the equipment according to the trend data to identify potential fault risks in advance; this method improves the stability of the system through automatic and intelligent real-time adjustment and monitoring, and reduces the errors caused by human intervention.

[0117] The method for collecting the parameters of the fluid in the pipe section in real time through the flow, pressure and temperature sensors in the regulating device, transmitting the data to the control module of the regulating device for preliminary analysis and processing is as follows:

[0118] The flow regulation is based on the flow of the fluid in the pipe, and the readings provided by the flow sensor are volume flow or mass flow, and the flow regulation formula is:

[0119] Q = A v

[0120] Wherein, Q is the flow; A is the cross-sectional area of the pipe; v is the flow rate of the fluid;

[0121] The flow rate is calculated by the pressure and density relationship:

[0122]

[0123] where ΔP is the pressure difference between the two ends of the pipeline; ρ is the density of the fluid;

[0124] The pressure data provided by the pressure sensor is used to control the opening of the valve and adjust the pressure of the pipeline system. The pressure adjustment formula is:

[0125] ΔP = P in - P out

[0126] where ΔP is the pressure difference; P in is the inlet pressure of the pipeline; P out is the outlet pressure of the pipeline;

[0127] The pressure control formula is based on the proportional control method:

[0128] P adjusted = K p · (P desired - P current )

[0129] where P adjusted is the adjusted pressure value; P desired is the target pressure; P current is the current pressure; K p is the proportional coefficient;

[0130] The temperature sensor data is used to adjust the heat exchange of the fluid or maintain the temperature stability of the pipeline. The basic formula for temperature adjustment is based on the principle of heat exchange, and the formula is:

[0131] Q = m·c·ΔT

[0132] where Q is the transferred heat; m is the mass flow rate of the fluid; c is the specific heat capacity of the fluid; ΔT is the temperature change.

[0133] By collecting the flow rate, pressure, and temperature data of the fluid in the pipeline in real time, the control module can automatically adjust the valve and regulating device, ensuring stable operation of the system and reducing manual intervention. Automatic adjustment of flow rate, pressure, and temperature can respond to abnormal situations in a timely manner, prevent system failures, and ensure the safety of the pipeline system. Combined with historical operation data, the intelligent control system can generate maintenance reports and provide regular maintenance recommendations, which helps to extend the service life of equipment and reduce maintenance costs. Through the Internet of Things technology, operators can remotely monitor the operation of the system and make adjustments, improving the convenience and flexibility of operation.

[0134] The control module automatically adjusts the opening of the regulating valve to keep the flow, pressure and temperature parameters of the fluid in the pipe segment within the preset threshold range by using a regulating valve control algorithm based on real-time collected data:

[0135] For the flow, pressure and temperature parameters, the PID algorithm of the control module adjusts the opening of the regulating valve according to the deviation between the actual parameters and the target set value. The PID control formula is:

[0136]

[0137] Where u(t) is the control amount; e(t) is the error; K p is the proportional coefficient; K i is the integral coefficient; K d is the differential coefficient;

[0138] Control process:

[0139] The proportional part adjusts the valve opening according to the current error. The larger the error, the greater the adjustment of the valve opening.

[0140] The integral part accumulates past errors and corrects the system deviation by adjusting the long-term accumulated error.

[0141] The differential part predicts future errors based on the rate of change of the error and adjusts the valve opening in advance.

[0142] The adaptive control method is based on parameter identification, controller adjustment and real-time adjustment process.

[0143] The working process of the control module is:

[0144] Real-time monitoring of fluid state through flow, pressure and temperature sensors;

[0145] Compare the actual data obtained by the sensor with the preset target threshold to calculate the error.

[0146] Adjust the opening of the regulating valve in real time according to the error and control algorithm.

[0147] The system continuously adjusts the valve opening through feedback signals until all parameters are stable within the preset range.

[0148] Through real-time data acquisition and feedback adjustment of the PID algorithm, the system can quickly and accurately adjust the flow, pressure, temperature and other parameters of the fluid in the pipeline to the preset target range; the adaptive control method dynamically adjusts the controller parameters according to the actual performance of the system, enhances the anti-interference ability of the system, and makes it still able to maintain stable operation under different environmental changes and load fluctuations; the system can automatically adjust the valve opening without human intervention, reducing the risk of human operation errors and improving the automation level of the system; precise control of flow, pressure and temperature can reduce energy waste, avoid equipment damage due to overload operation, prolong the service life of the pipeline system and regulating valve, and thus reduce maintenance and replacement costs.

[0149] When the flow or pressure of the pipe section exceeds the preset threshold, the intelligent control module will immediately trigger the alarm system to notify the operator to check and repair, and at the same time, the control module will record all abnormal events and upload relevant data to the external remote monitoring system.

[0150] The intelligent control module continuously collects data from the flow and pressure sensors and compares them with the preset threshold, setting:

[0151] Q(t) is the current flow value; P(t) is the current pressure value; Q max and P max are the upper threshold values of flow and pressure; Q min and P min are the lower threshold values of flow and pressure.

[0152] When the flow or pressure of the pipe section exceeds the preset threshold, the alarm mechanism is triggered, and the condition is set as:

[0153] If Q(t)>Q max or Q(t)<Q min or P(t)>P max or P(t)<P min

[0154] When an anomaly is detected, the control module immediately triggers the alarm system, and the triggering of the alarm is represented by the following formula:

[0155] A(t)=f(Q(t),P(t))

[0156] Where A(t) is the alarm signal, if A(t)=1, it means triggering the alarm, if A(t)=0, it means normal; f(Q(t),P(t)) is an anomaly detection function that calculates whether the threshold is exceeded based on the real-time values of flow and pressure.

[0157] Once the alarm is triggered, the system sends a short message, email or other communication methods to start the alarm light or sound prompt method to inform the operator;

[0158] When an anomaly occurs, the control module records all related anomaly event data, the content of the record usually includes the time of anomaly occurrence, flow, pressure value, anomaly type, device state, the record formula is:

[0159] EventRecord={t alarm , Q(t alarm ), P(t alarm ), Type}

[0160] All anomaly event data, flow, pressure value and related alarm records will be uploaded to the external remote monitoring system through the data communication interface, the upload formula is:

[0161] UploadData(t alarm , Q(t alarm ), P(t aarm ), Type)

[0162] Among them, the data upload process is realized through wireless communication interface and wired communication interface.

[0163] Once the flow or pressure exceeds the preset threshold, the system can immediately alarm and notify the operator through SMS, email and other methods, ensuring that the anomaly is handled in a timely manner to prevent equipment damage or production interruption; By real-time monitoring and setting alarm mechanism, measures can be taken in time when the flow or pressure is abnormal, to avoid more serious system failure or equipment damage; The scheme realizes the automatic detection, alarm, record and upload process of anomaly, reduces the need for manual intervention, improves operation efficiency and accuracy; The data recorded by the system is not only used for immediate alarm, but also for long-term trend analysis to help operators optimize pipeline operation strategy and maintenance plan; The operator can easily view the real-time status and historical records of all pipe sections through the remote monitoring system, making equipment management and scheduling easy.

[0164] The regulating device is connected to external equipment through Internet of Things technology, and the operator remotely monitors the pipe section regulating device through mobile phone, computer remote terminal equipment. The operator adjusts the pipe regulating strategy remotely according to actual needs, and the method for real-time modification of flow and pressure parameters is:

[0165] Through Internet of Things technology, the pipe section regulating device collects data in real time and transmits it to the remote monitoring platform, the process is represented by the following formula:

[0166] Let Q(t) be the current flow value, P(t) be the current pressure value, and T(t) be the current temperature value.

[0167] Q target and P target are target flow and pressure values;

[0168] Real-time data acquisition formula:

[0169] Data(t) = [Q(t), P(t), T(t)]

[0170] Set up a new target flow and pressure value Q new and P new through the remote terminal input, and need to adjust the pipeline adjustment strategy according to these target values, adjustment formula:

[0171] Adjust(Q new , P new , A valve ) = f(Q(t), P(t), Q new , P new )

[0172] Where the adjustment function f is adjusted by PID control or other adjustment algorithm, and when PID control is used:

[0173]

[0174] Where A valve (t) is the opening of the regulating valve, K p , K i , K d are the proportional, integral and differential coefficients of the PID controller; Q new and P new are the new target flow and pressure values set by the operator;

[0175] After the operator adjusts the valve opening, the system monitors the pipeline state in real time through Internet of Things technology, and feeds back the adjusted flow and pressure data to the remote terminal device, and the feedback formula is:

[0176] Feedback(t) = [Q(t), P(t), A valve (t)]

[0177] At the same time, the system uploads the operator's adjustment instructions, including the target flow and pressure values, and the corresponding valve adjustment information.

[0178] Through the Internet of Things technology, operators can remotely operate the pipe section adjustment equipment at any time and anywhere through mobile phones or computers, flexibly responding to changes in flow and pressure; through automatic adjustment algorithms such as PID control, the system can automatically adjust the pipe valve opening, reduce manual intervention, and improve operation efficiency and accuracy; operators and managers can view the running data of the pipeline in real time, find problems in time and make adjustments, avoiding hidden dangers caused by long-term monitoring; the system continuously feeds back parameters such as flow and pressure to ensure that the pipeline always operates within a safe and reasonable range, thereby improving the stability and safety of the system; all adjustment operations of the pipeline system can be remotely managed through the Internet of Things, without the need for on-site operation, especially suitable for systems that are widely distributed and need centralized monitoring; the Internet of Things platform can help managers analyze the running status of the pipeline system through historical data and real-time feedback, and optimize operation strategies and maintenance plans.

[0179] Based on historical operation data, the intelligent control system automatically analyzes the usage status of the equipment, generates a device maintenance report, and generates periodic maintenance recommendations based on the running status of the equipment.

[0180] Let D(t) be the running data of the equipment at time t; T min and T max be the minimum and maximum normal values of the equipment operation;

[0181] The data collection formula is:

[0182] D(t) = [Temp(t), Vibration(t), Load(t),...]

[0183] Through analysis of historical data, the intelligent control system evaluates the current running status of the equipment, and the system calculates the running mode of the equipment based on historical data to identify potential fault risks or performance degradation;

[0184] Let Status(t) be the status evaluation result of the equipment at time t; R threshold be the standard value of the equipment normal operation;

[0185] The status analysis formula is:

[0186] Status(t) = f(D(t), R threshold )

[0187] Wherein, the function f evaluates the running status of the equipment based on threshold comparison, statistical analysis or machine learning algorithm;

[0188] The system generates report content through the following formula:

[0189] MaintenanceReport = [TimePeriod, Status(t), FailureEvents, Anomalies,...]

[0190] Where TimePeriod is the time period of device monitoring; FailureEvents is the number and type of failures or anomalies of the device; Anomalies is the abnormal data appeared in the operation of the device;

[0191] According to the operating condition of the device, the intelligent control system automatically analyzes whether the device needs regular maintenance, and the maintenance suggestion is generated based on the following factors:

[0192] The current health status of the device;

[0193] Whether the threshold of regular maintenance is reached;

[0194] Whether there are signs of abnormalities, predicting potential failures of the device;

[0195] Regular maintenance suggestion formula:

[0196] MaintenanceSuggestion = g(Status(t), UsageDuration, FailureRisk)

[0197] Where UsageDuration is the running time or usage frequency of the device since the last maintenance; FailureRisk is the failure risk of the device calculated based on historical data and status analysis.

[0198] Through real-time monitoring and state assessment, the intelligent control system can identify the failure risk, performance degradation and other problems of the equipment in a timely manner, and perform maintenance in advance, thereby avoiding major equipment failures and prolonging the service life of the equipment; Regular maintenance recommendations can be dynamically generated based on the actual health status of the equipment, avoiding unnecessary regular maintenance and reducing the waste of idle resources. In addition, early identification of potential problems can avoid high repair costs caused by sudden failures; Through intelligent analysis and automated maintenance recommendations, the equipment can operate in the best working condition, improving overall production efficiency and optimizing the maintenance process of the equipment, reducing downtime; Through big data analysis, the system can not only assess the current health of the equipment, but also predict the future operation trend of the equipment, providing data-driven decision support for managers and helping them develop more reasonable equipment management plans; Compared with traditional planned maintenance, the scheme adopts a preventive maintenance mode based on real-time data and intelligent analysis, so that the equipment can be maintained before problems occur, reducing the frequency of equipment failures and improving the stability of overall production; The intelligent control system can automatically analyze and generate maintenance reports and recommendations, reducing the need for manual intervention and improving the automation level of maintenance work; The system automatically generates historical reports and maintenance recommendations for the equipment, enhancing the transparency of equipment management and enabling the information such as each failure and repair record of the equipment to be traced back, which is helpful for subsequent analysis and optimization.

[0199] The embodiment also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the pipe section adjusting device and adjusting method for mechanical and electrical engineering construction as described above when executing the program.

[0200] The embodiment also provides a computer readable storage medium, which stores a computer program, and the program is executed by a processor to implement the pipe section adjusting device and adjusting method for mechanical and electrical engineering construction as described above.

[0201] The regulating valve control algorithm is based on real-time collected flow, pressure and temperature data, and through comparison of real-time parameters with preset threshold values, combined with fluid dynamics model and control theory, a certain specific algorithm is used to dynamically adjust the valve opening to ensure the stability of the fluid state in the pipe section;

[0202] The adjusting device is connected with external equipment by using wireless communication technology, and uses MQTT protocol to transmit data in real time, ensuring low delay and high reliability communication between devices. In addition, encryption measures are used to ensure the security of data transmission;

[0203] The operator accesses a dedicated interface through a mobile phone or a remote terminal device on a computer to view the running parameters of the device in real time, including flow, pressure and temperature, and adjusts the parameters according to actual needs. The interface adopts a friendly interactive design and provides real-time alarm information and maintenance suggestions.

[0204] Based on historical operation data, the intelligent control system uses machine learning algorithms to analyze the operation mode of the device, predict the probability of device failure, and provide regular maintenance suggestions based on the historical health status of the device.

[0205] When the flow or pressure of the device exceeds the preset threshold, the intelligent control module records the detailed information of the abnormal event, including the time of occurrence, event type, abnormal amplitude, and possible failure cause. All abnormal events will be recorded in the log file of the device and uploaded to the external remote monitoring system regularly for subsequent analysis and repair by the operator.

[0206] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be completed by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer readable storage medium. When executed, the computer program can include the processes of the above-mentioned embodiments. Any reference to memory, storage, database or other medium used in the embodiments provided by the present application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration but not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM) and memory bus dynamic RAM (RDRAM).

[0207] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above-mentioned functional units and modules is exemplified. In actual application, the above-mentioned functions can be completed by different functional units and modules according to needs, i.e. the internal structure of the system is divided into different functional units or modules to complete all or part of the above-described functions.

[0208] The above embodiments of the present application are not intended to limit the scope of the present application, and the embodiments of the present application are not limited thereto. Any other modifications, replacements, or changes to the above structure of the present application, which are made according to the above content of the present application, in accordance with the ordinary technical knowledge and common practices in the art, without departing from the above basic technical idea of the present application, shall fall within the scope of protection of the present application.

Claims

1. A pipe section adjustment device for electromechanical engineering construction, characterized in that, Including: The regulating valve unit includes a flow sensor, a pressure sensor, and a temperature sensor, all integrated within the valve body structure. By monitoring the flow, pressure, and temperature data of the pipeline section in real time, it automatically adjusts the valve opening. The valve controller adjusts the valve opening degree in real time based on the data fed back from the sensors. The control module is integrated into the main structure of the regulating device. It receives real-time data from flow, pressure and temperature sensors and precisely controls the valve opening according to a preset regulating algorithm. The module uses an embedded microprocessor and is equipped with Internet of Things technology to realize remote control and monitoring. By connecting with an external monitoring system, the control module can perform remote fault diagnosis. This multi-functional expansion joint is designed with an adjustable, expandable, and retractable structure to adapt to changes in pipeline length under different environments. It utilizes sealing materials. The modular interface system adopts a standardized design, and the components are connected through modular interfaces to ensure that the equipment is easy to assemble and maintain. The intelligent feedback and alarm system continuously monitors the operating status of the pipeline section through a built-in real-time monitoring mechanism. Once an abnormality occurs, the system will promptly notify the operators to handle it through the alarm mechanism. At the same time, the system records the equipment's operating history data and predicts the equipment's maintenance cycle based on big data analysis, generating preventive maintenance suggestions.

2. A method for pipe section adjustment in electromechanical engineering construction, characterized in that, Includes the following steps: The flow, pressure and temperature sensors in the regulating device are used to collect the parameters of the fluid in the pipe section in real time. The data is transmitted to the control module of the regulating device for preliminary analysis and processing. Based on real-time collected data, the control module uses a regulating valve control algorithm to automatically adjust the opening of the regulating valve, keeping the flow rate, pressure, and temperature parameters of the fluid in the pipe section within the preset threshold range. When the flow or pressure of a pipeline section exceeds the preset threshold, the intelligent control module will immediately trigger the alarm system to notify the operator to check and repair. At the same time, the control module will record all abnormal events and upload the relevant data to the external remote monitoring system. The regulating device is connected to external equipment through Internet of Things (IoT) technology. Operators can monitor the regulating device in real time through mobile phones and computers. Operators can remotely adjust the regulating strategy of the pipeline according to actual needs and modify the flow and pressure parameters in real time. Based on historical operating data, the intelligent control system automatically analyzes the equipment's usage status, generates equipment maintenance reports, and provides regular maintenance recommendations based on the equipment's operating status.

3. The pipe section adjustment method for electromechanical engineering construction according to claim 2, characterized in that, The method for collecting fluid parameters in the pipe section in real time by regulating flow, pressure, and temperature sensors in the device, and transmitting the data to the control module of the regulating device for preliminary analysis and processing is as follows: Flow rate regulation is based on the flow rate of the fluid within the pipe. The readings provided by the flow sensor are either volumetric flow rate or mass flow rate. The flow rate regulation formula is: Q = A·v Where Q is the flow rate; A is the cross-sectional area of ​​the pipe; and v is the fluid velocity. Flow velocity is calculated using the pressure-density relationship: Where ΔP is the pressure difference between the two ends of the pipe; ρ is the density of the fluid; The pressure data provided by the pressure sensor is used to control the valve opening and adjust the pressure in the pipeline system. The pressure regulation formula is: ΔP=P in -P out Where ΔP is the pressure difference; P in P is the inlet pressure of the pipeline. out This refers to the pipeline outlet pressure. The pressure control formula is based on the proportional control method: P adjusted =K p ·(P desired -P current Among them, P adjusted This is the adjusted pressure value; P desired For target pressure; P current For current pressure; K p This is the proportionality coefficient; Temperature sensor data is used to regulate heat exchange in fluids or maintain stable pipe temperatures. The basic formula for temperature regulation is based on the principle of heat exchange, and the formula is: Q = m·c·ΔT Where Q is the heat transferred; m is the mass flow rate of the fluid; c is the specific heat capacity of the fluid; and ΔT is the temperature change.

4. The pipe section adjustment method for electromechanical engineering construction according to claim 3, characterized in that, The control module, based on real-time collected data, employs a regulating valve control algorithm to automatically adjust the opening of the regulating valve, maintaining the flow rate, pressure, and temperature parameters of the fluid within the pipe section within a preset threshold range. For flow rate, pressure, and temperature parameters, the PID algorithm of the control module adjusts the valve opening based on the deviation between the actual parameters and the target setpoint. The PID control formula is as follows: Where u(t) is the control quantity; e(t) is the error; K p K is the proportionality coefficient. i K is the integral coefficient; d These are the differential coefficients; Control process: The proportional control adjusts the valve opening based on the current error; the larger the error, the larger the valve opening adjustment. The integral part accumulates past errors and corrects the system's deviation by adjusting the long-term accumulated errors; The differential part predicts future errors based on the rate of change of the error and adjusts the valve opening in advance. Adaptive control methods are based on parameter identification, controller adjustment, and real-time adjustment processes. The workflow of the control module is as follows: Fluid status is monitored in real time using flow, pressure, and temperature sensors; The actual data acquired by the sensor is compared with a preset target threshold, and the error is calculated. The opening of the regulating valve is adjusted in real time based on the error and control algorithm. The system continuously adjusts the valve opening based on feedback signals until all parameters stabilize within the preset range.

5. The pipe section adjustment method for electromechanical engineering construction according to claim 4, characterized in that, When the flow rate or pressure in a pipeline section exceeds a preset threshold, the intelligent control module will immediately trigger an alarm system to notify operators for inspection and repair. Simultaneously, the control module will record all abnormal events and upload the relevant data to an external remote monitoring system. The intelligent control module continuously collects data from flow and pressure sensors and compares it with preset thresholds, setting: Q(t) is the current flow rate; P(t) is the current pressure value; Q max and P max Q represents the upper limit threshold for flow rate and pressure. min and P min These are the lower threshold values ​​for flow rate and pressure. An alarm mechanism is triggered when the flow rate or pressure in a pipeline section exceeds a preset threshold. The set conditions are: If Q(t)>Q max or Q(t) min or P(t)>P max or P(t) <P min When an anomaly is detected, the control module immediately triggers the alarm system. The alarm triggering is expressed by the following formula:​ A(t) = f(Q(t), P(t)) Where A(t) is the alarm signal. If A(t) = 1, it means that an alarm has been triggered. If A(t) = 0, it means that the operation is normal. f(Q(t), P(t)) is the anomaly detection function, which calculates whether the threshold is exceeded based on the real-time values ​​of flow and pressure. Once an alarm is triggered, the system will notify the operator by sending a text message, email, or other communication methods, or by activating an alarm light or sound. When an anomaly occurs, the control module records all relevant anomaly event data. The recorded content typically includes the time of the anomaly, flow rate, pressure value, anomaly type, and equipment status. The recording formula is as follows: EventRecord={t alarm ,Q(t alarm ),P(t alarm ),Type} All abnormal event data, traffic, stress values, and related alarm records will be uploaded to the external remote monitoring system via the data communication interface. The upload formula is as follows: UploadData(t alarm ,Q(t alarm ),P(t alarm ),Type) The data upload process is implemented through both wireless communication and wired communication interfaces.

6. The pipe section adjustment method for electromechanical engineering construction according to claim 5, characterized in that, The regulating device connects to external equipment via IoT technology. Operators can remotely monitor the regulating device in real time using mobile phones or computers. Operators can remotely adjust the pipeline's regulating strategy and modify flow and pressure parameters in real time according to actual needs. Using IoT technology, the pipeline regulating device collects data in real time and transmits it to a remote monitoring platform. The process is represented by the following formula: Let Q(t) be the current flow rate, P(t) be the current pressure, and T(t) be the current temperature. Q target and P target Target flow and pressure values; Real-time data acquisition formula: Data(t) = [Q(t), P(t), T(t)] Set up a system that allows users to input new target flow and pressure values ​​Q via a remote terminal. new and P new Furthermore, the pipeline regulation strategy needs to be adjusted based on these target values, using the following adjustment formula: Adjust(Q ncw ,P new ,A valve )=f(Q(t),P(t),Q new ,P new ) The adjustment function f adjusts the valve opening using PID control or other control algorithms. When using PID control: Among them, A valve (t) represents the opening degree of the regulating valve, K p K i K d For the proportional, integral, and derivative coefficients of the PID controller; Q new and P new New target flow and pressure values ​​set for operators; After the operator adjusts the valve opening, the system monitors the pipeline status in real time through IoT technology and feeds back the adjusted flow and pressure data to the remote terminal device. The feedback formula is as follows: Feedback(t)=[Q(t),P(t),A valve (t)] At the same time, the system uploads the operator's adjustment instructions, including the target flow rate and pressure values, as well as the corresponding valve adjustment information.

7. The pipe section adjustment method for electromechanical engineering construction according to claim 6, characterized in that, Based on historical operating data, the intelligent control system automatically analyzes the equipment's usage status, generates equipment maintenance reports, and, based on the equipment's operating status, generates regular maintenance recommendations using the following method: Let D(t) be the operating data of the device at time t; T min and T max These are the minimum and maximum normal operating values ​​for the equipment; The data collection formula is: D(t)=[Temp(t),Vibration(t),Load(t),...] By analyzing historical data, the intelligent control system assesses the current operating status of the equipment. The system calculates the operating mode of the equipment based on historical data and identifies potential failure risks or performance degradation. Let Status(t) be the state assessment result of the device at time t; R threshold These are the standard values ​​for normal equipment operation. State analysis formula: Status(t)=f(D(t),R threshold ) Among them, function f uses threshold comparison, statistical analysis or machine learning algorithms to evaluate the operating status of the equipment; The system generates report content using the following formula: MaintenanceReport=[TimePeriod,Status(t),FailureEvents,Anomalies,...] Among them, TimePeriod is the time period monitored by the device; FailureEvents is the number and type of device failures or anomalies; Anomalies is the abnormal data that occurs during device operation; Based on the equipment's operating status, the intelligent control system automatically analyzes whether the equipment requires regular maintenance, and generates maintenance recommendations based on the following factors: The current health status of the device; Has the threshold for regular maintenance been reached? Detect any abnormal signs to predict potential equipment failures; Recommended formula for regular maintenance: MaintenanceSuggestion=g(Status(t),UsageDuration,FailureRisk) UsageDuration is the operating time or frequency of use of the equipment since the last maintenance; FailureRisk is the equipment failure risk calculated based on historical data and status analysis.

8. An electronic device, characterized in that, It includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements a pipe section adjustment method for electromechanical engineering construction as described in any one of claims 2-7.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by the processor, the program implements a pipe section adjustment method for electromechanical engineering construction as described in any one of claims 2-7.

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