66 results about "Process safety" patented technology

The invention is applicable to the field of exhaust control, and discloses an exhaust control method, system and device and a medium, the method comprises the following steps: acquiring exhaust operation state data to obtain a historical data set; a predicted pressure value is obtained by combining the historical data set with the weighting factor and adopting a weighted moving average prediction model; obtaining a predicted pressure change rate through the predicted pressure value, and comparing the predicted pressure change rate with a preset threshold value to obtain an exhaust triggering condition; on the basis that the exhaust triggering condition is met, exhaust parameters are generated through a digital twin simulation model, and exhaust is executed according to the exhaust parameters; based on the pressure value and the sealing state in the exhaust process, the exhaust state is judged in combination with the recovery threshold value, and an execution instruction is obtained; and exhaust abnormity detection is carried out based on the execution instruction to complete exhaust control, the process safety is guaranteed, whole-process data are recorded and uploaded, an exhaust closed loop is realized, and the accuracy, stability and safety of exhaust control are improved.

The invention discloses a self-reaction substance drying process safety assessment and classification method based on thermal analysis kinetics. The method comprises the following steps: performing a multi-heating-rate programmed heating test on a self-reaction substance under a closed condition by adopting DSC to obtain an exothermic initial temperature, a peak temperature and a specific exothermic quantity, constructing a thermal decomposition kinetic model based on the obtained data, and solving kinetic parameters such as apparent activation energy and pre-exponential factors; combining an energy conservation equation and a thermal explosion theory, predicting a self-accelerated decomposition temperature SADT under an adiabatic condition TD24 and a given filling and heat dissipation condition, determining a temperature safety threshold value of a drying process according to the SADT, and dividing a working condition safety interval; further introducing three dimensionless safety factors including a temperature safety margin, a time safety margin and a thermal explosion margin, constructing a comprehensive risk index, and carrying out risk grade division on the drying working condition. The method provided by the invention has the advantages of low sample consumption, simple test conditions and standardized calculation process, can quantitatively evaluate the safety drying temperature upper limit of different self-reaction substances and under different process conditions, and provides a reliable basis for drying process design and safety control of the self-reaction substances.

The invention discloses a hydrogen concentration measurement method based on a multi-mode sensor, and relates to the technical field of gas detection and industrial process safety monitoring. Hydrogen sensors based on different physical principles are introduced in the same measurement link, and environmental variables such as temperature, humidity, pressure and the like and sensor output are collected together; a multi-dimensional feature is formed after normalization and time alignment, and then fusion is performed by using a weight adaptive to the change of an environment, so that instantaneous errors generated by a single sensor due to temperature drift, wet drift or pressure fluctuation are shared or suppressed, and the stability and repeatability of a fusion result are improved; furthermore, a cross sensitivity compensation module arranged before fusion identifies response differences between hydrogen and interference components such as carbon monoxide and methane by using a machine learning model obtained by training under a multi-gas mixing working condition, and the probability of false signals and false alarms caused by coexisting gas is reduced on the premise that a special detection channel is not added.

The invention relates to a communication engineering full-process safety production risk dynamic assessment method, in particular to the technical field of communication engineering, and effectively overcomes the hysteresis quality and one-sidedness of a traditional static assessment method. According to the method, real-time data stream processing and an online learning mechanism are fused, continuous perception and quantitative evaluation of safety production risks are realized, short-term sudden risk response and long-term law research and judgment can be intelligently balanced, the timeliness of risk early warning and the accuracy of decision support are remarkably improved, the engineering field safety management and control capability is enhanced, and the engineering field safety management and control efficiency is improved. The occurrence probability of safety accidents is reduced.

The utility model discloses a portable filter pressure relief observer which comprises a sight glass, and a one-way valve is arranged at an outlet of the sight glass to prevent oil from flowing backwards. A portable emptying valve is arranged at the bottom of the sight glass, so that timely emptying after pressure relief of the filter is facilitated, and next observation is not affected. The problems that an existing sight glass is not tight in sealing, glass is fragile, oil flows backwards and maintenance is difficult are solved, and the process safety and the convenience of equipment maintenance are improved.

The invention provides a virtual power plant peak regulation-oriented sewage plant safety capacity scheduling method and device. The method comprises the following steps of: carrying out load-process dynamic coupling modeling; after the peak regulation task is received, calculating the maximum power regulation quantity which can be safely executed in the response time window Twin under the current working condition for each load object; in the day-ahead plan scheduling, the power adjustment starting time of the load object is advanced to be before the response time window Twin, and the declarable capacity is planned according to the maximum technical adjustment power; in intra-day scheduling, all Pdisgt are aggregated; and forming a safe schedulable resource pool by the load objects of 0, carrying out load object combination optimization and generating a scheduling instruction. The method has the advantages that under the given peak regulation task of the power grid, the safety capacity delta Pmax of each load object in the sewage plant under the current working condition is calculated and determined in real time, safety dispatching is achieved based on the safety capacity delta Pmax, and the problems of uncredibility of dispatching instructions and process safety risks are solved.

The invention discloses a pilot operated safety valve state monitoring method and device with helium online leakage detection, and relates to the technical field of industrial process safety and equipment state monitoring, and the method comprises the steps: installing a microcavity leakage collection module on a to-be-detected pilot operated safety valve, connecting a helium online analysis subsystem and a tracing gas source through a pipeline, and carrying out the detection of the helium online leakage detection of the to-be-detected pilot operated safety valve; starting a vacuum pump set to vacuumize to a working vacuum degree; pure nitrogen is introduced to eliminate background helium, sampling analysis is performed after an interface is closed, and a helium background signal is recorded as a base line; low-concentration helium mixed gas is injected at a controlled speed, a tracing environment is constructed, and helium concentration, pressure and temperature multi-dimensional time sequence data are synchronously collected and preprocessed; inputting the data into a composite artificial intelligence model to judge a leakage state and divide alarm grades; the leakage rate is analyzed, the remaining life is calculated, monitoring information is uploaded to an upper-layer system, multi-channel notification is triggered, and monitoring is completed. Through the helium mass spectrum and the edge AI technology, accurate real-time monitoring is achieved, and the problem of off-line lag misinformation is solved.

The present application relates to the field of anti-falling monitoring, and more particularly to a real-time monitoring response method and platform for an anti-falling device. The method comprises the following steps: continuously collecting information about workers based on the anti-falling device to generate a baseline sequence of working states; calculating a real-time falling rate peak value of the baseline sequence of working states; comparing the real-time falling rate peak value with a preset safety falling threshold value; when the real-time falling rate peak value is greater than a first-level safety falling threshold value, activating a slow locking mechanism of the anti-falling device; and when the real-time falling rate peak value is greater than a second-level safety falling threshold value, activating an emergency locking mechanism of the anti-falling device. The present application actively intervenes in high-altitude workers and provides full-process safety protection, thereby improving the continuity and safety of high-altitude work.

The present application relates to the technical field of biomass mixed coal combustion, and discloses a safety system for bamboo reed biomass mixed coal pulverization. The system is composed of a bamboo reed biomass raw material attribute detection module, a mixed coal proportion self-adaptive regulation and control module, a combustion environment multi-source sensing module, a safety risk quantitative evaluation module and a control strategy dynamic generation module, and the modules are connected through a data flow pipeline. The raw material attribute detection module collects water content fluctuation data and particle morphology characteristic sequences in real time; the mixed coal proportion regulation and control module calculates mixed coal ratio adjustment amount accordingly; the combustion environment sensing module synchronously obtains combustion chamber temperature field change trajectory and flue gas composition concentration time series data; the safety risk evaluation module integrates the above temperature, flue gas and ratio data to generate risk probability distribution; and the control strategy generation module analyzes the risk distribution and outputs an instruction sequence for driving an execution mechanism. The present application realizes whole-process safety monitoring and dynamic regulation and control from raw material characteristics to combustion state.

The utility model relates to the field of chemical engineering automatic control equipment, in particular to a vinylamine reactor outlet pneumatic control valve assembly which comprises a pneumatic high-pressure adjusting angle valve A and a pneumatic high-pressure adjusting angle valve B which are arranged in parallel, and two process valves are respectively connected in series in front of and behind the pneumatic high-pressure adjusting angle valve A and the pneumatic high-pressure adjusting angle valve B; and the controller is electrically connected with the pneumatic high-pressure adjusting angle valve A and the pneumatic high-pressure adjusting angle valve B and is used for switching the pneumatic high-pressure adjusting angle valve A and the pneumatic high-pressure adjusting angle valve B. The utility model has the following beneficial effects: the technical scheme is simple in process, saves a flash tank, a pipeline and auxiliary instruments and facilities, optimizes the field operation layout, and improves the production efficiency. Maintenance is safe, control means are increased, the service life of control is prolonged, maintenance cost is saved, operation can be carried out in an emergency state, and process safety is guaranteed.

The application discloses a kind of dangerous chemical enterprise area dynamic process safety risk grading early warning method, and the application relates to safety management technical field, wherein including: obtaining the regional process safety data and safety risk element index system of dangerous chemical enterprise;According to regional process safety data, safety risk element index system and preset risk possibility rule table, determine the regional dynamic risk possibility grade of dangerous chemical enterprise;The inherent risk grade of the region of the dangerous chemical enterprise is evaluated, and according to the inherent risk grade of the region, determine the regional basis consequence grade of dangerous chemical enterprise;Based on the regional dynamic risk possibility grade, the regional basis consequence grade and preset regional risk grade evaluation matrix, risk grading dynamic early warning is carried out, and the regional risk grade of the dangerous chemical enterprise is obtained.The application can reflect the process safety risk grade in actual production process, ensure the real-time of process safety risk early warning.

The invention belongs to the technical field of organic synthesis and fine chemical engineering, and particularly relates to a method for continuously synthesizing 2, 5-dimethoxy-4-nitrochlorobenzene. A continuous flow reaction system is adopted, 2, 5-dimethoxychlorobenzene and 75%-78% nitric acid are pumped into the system respectively, mixed and then enter a silicon carbide microchannel reactor, an initial reaction is carried out at the temperature of 40-60 DEG C, then the mixture enters a coil delay microreactor at the temperature of 50-70 DEG C to complete nitration, and the total retention time is 20-80 seconds. According to the method disclosed by the invention, accurate temperature control on the strong exothermic nitration reaction is realized through enhanced mixing and heat transfer of the microreactor, concentrated sulfuric acid does not need to be added, the reaction can be completed within tens of seconds, the raw material conversion rate is high (the residue is less than or equal to 0.13%), the product selectivity is good (the content is more than or equal to 98.33%), and the production efficiency and the process safety are remarkably improved; the method is suitable for green, efficient and continuous production of the intermediate, realizes accurate monitoring, and is suitable for large-scale safe production.

The invention relates to the technical field of process safety and explosion prevention, in particular to a graded explosion suppression-explosion venting control method and system based on dynamic pressure characteristics. The method comprises the steps of information collection and preprocessing, dynamic feature extraction, feature parameter normalization, dynamic weight distribution, comprehensive risk index calculation, execution of a corresponding grading response strategy and degradation and revocation control. Through multi-feature fusion, a dynamic weight, a nonlinear saturation function and a hierarchical trigger mechanism with hysteresis, the explosive risk assessment is fundamentally converted from static and single states to dynamic and comprehensive states, and the prevention and control response spans from isolation and extensive states to collaborative and fine states. Finally, an intelligent explosion-proof system which is high in sensitivity, low in false alarm rate, self-adaptive and reversible is constructed, and the safety protection level of the combustible gas container under various complex working conditions is remarkably improved.

The present application relates to a kind of PID controller parameter online optimization method based on reinforcement learning and RBF neural network, storage medium and control system, the method includes: in the actual control system of the chemical process deployment trained reinforcement learning intelligent agent, the reinforcement learning intelligent agent is based on Actor-Critic framework and RBF neural network construction;Real-time acquisition chemical process original data, and transform into state vector for inputing the reinforcement learning intelligent agent, output obtains the optimal adjustment amount of PID controller parameter;Wherein, the state space of the reinforcement learning intelligent agent includes the process variable of the chemical process, action space is defined as the adjustment amount of PID controller parameter, reward function is the composite function of fusion tracking error, overshoot, control action change rate and process safety constraint.Compared with prior art, the present application has the advantages of significantly improving the adaptive ability and control precision of control system.

The invention relates to the technical field of blast furnace gas safety control, and particularly discloses a safety replacement and hydrogen control method for a hydrogen-rich carbon circulating oxygen blast furnace gas system. Aiming at the problems that hydrogen is easy to accumulate and the explosion risk is high in the shut-down charge level lowering process of the HyCROF blast furnace, advanced prevention and control and whole-process safety management and control of the hydrogen concentration are realized through four core steps of pre-nitrogen intervention, establishment of a hydrogen online monitoring and early warning linkage mechanism, standardization of a gas cutting operation program and purging and pressure maintaining after cutting. The method changes a traditional passive remedy control mode, has the characteristics of initiative, predictability, mandatory and systematicness, can effectively inhibit rapid increase of hydrogen concentration, avoids safety accidents caused by gas mixing, and ensures absolute safety of the HyCROF blast furnace shutdown process.

The utility model relates to the technical field of waterproof detection, and particularly discloses a waterproof detection device for a power line. Comprising a base, a water storage table, an electric box and a universal meter, the upper surface of the base is fixedly connected with the water storage table, the base is fixedly connected with the electric box, and the base is fixedly connected with the universal meter. The beneficial effects of the utility model are that through the arrangement of the wire bunching plate, the power line can be prevented from moving during detection, the test stability is increased, and the detection efficiency is improved; by arranging a power-on button, the electric box can be effectively controlled to supply power to the power supply line, and the safety and convenience of the detection process are ensured; by arranging the lower pressing plate, the situation that part of the power line generates elastic deformation and is located above the water surface, and consequently the detection result is inaccurate is prevented.

A computer implemented method includes receiving, by the computer, a request to display a process safety risk matrix associated with a process facility and displaying the process safety risk matrix. The process safety risk matrix includes a 2-dimensional representation of a plurality of risk matrix cells, each of the plurality of risk matrix cells associated with a combination of a likelihood level and a severity level. The computer implemented method includes displaying, by the computer, an indication of a hazardous process event scenario within a first cell within the process safety risk matrix, the cell location determined based on a Target Mitigated Event Likelihood (TMEL) and a Safety Severity. The computer implemented method includes displaying, by the computer, an indication of a second graphic indication on a second cell to identify a change in a hazardous scenario count associated with the second cell.

The utility model discloses a strain protection device for a biogas biological desulfurization system, which comprises a biological desulfurization tower, a desulfurization component is arranged in the biological desulfurization tower, a gas inlet pipeline is arranged at the lower end of the biological desulfurization tower, and an independent strain protection component is arranged at the upper end of the biological desulfurization tower. A desulfurization branch pipe is arranged on the gas inlet pipeline and is communicated with the independent strain protection component. According to the utility model, the independent growth of desulfurization strains under the conditions of the same environment, nutrient medium and other factors is ensured to the greatest extent. In the emergency state of inactivation of the biological desulfurization equipment, the time for culturing strains again and debugging the optimal growth environment is saved, and the economic loss caused by production halt of a user due to debugging and maintenance is greatly reduced. Meanwhile, the device avoids difficulty in cleaning and replacement of traditional biological desulfurization, and reduces the process safety accident risk.

This invention provides a control method, device, and storage medium for a vacuum chamber heating system in an RH refining furnace. The method includes: when the vacuum chamber temperature is above a temperature threshold, receiving a selection of the heating mode and setting thresholds for first and second heating parameters; initiating the ignition procedure; opening the nitrogen and cooling water shut-off valves; controlling the top gun to descend to the ignition position; closing the purge shut-off valve; and opening the oxygen shut-off valve, oxygen flow regulating valve, gas shut-off valve, and gas flow regulating valve, and igniting the burner. The method also involves acquiring the first heating parameter value; extinguishing the flame when the first heating parameter value reaches the threshold; controlling the top gun to rise to the waiting position; acquiring the second heating parameter value; and igniting the flame when the second heating parameter value meets the conditions. This technical solution achieves automatic control of the RH refining furnace vacuum chamber heating system, improving the energy-saving and emission-reduction efficiency of the equipment, and ensuring production process safety by monitoring the operating status.

The application discloses a molten salt energy storage system leakage early warning method and system based on multi-parameter fusion, and belongs to the technical field of industrial process safety monitoring. The method comprises the following steps: collecting multiple operation parameters of a molten salt energy storage system in real time; executing a main leakage detection logic to generate a primary leakage early warning signal; executing an auxiliary leakage detection logic to generate an auxiliary alarm signal; performing fusion processing based on the primary leakage early warning signal and the auxiliary alarm signal to obtain a preliminary diagnosis result; if there is a detection result of a directly detected leakage point, correcting the preliminary diagnosis result based on the detection result to obtain a final diagnosis result; and outputting a corresponding grade of molten salt energy storage system leakage early warning based on the final diagnosis result. Through comprehensive analysis of multiple parameters related to leakage, and by using the mass balance principle and intelligent algorithms, the application can early discover and accurately diagnose tiny leakage, and realizes early, accurate and reliable early warning of molten salt energy storage system leakage monitoring.

The application discloses a kind of chemical plant production whole-process safety risk grading intelligent management and control and hidden danger closed-loop management monitoring method, it is related to industrial automatic control system device manufacturing field, including by industrial automatic control system device to the synchronous perception of multiple-source heterogeneous data Processing;Intelligent division visual display of safety risk grade is completed in combination with multistage risk threshold system;According to safety risk grade, automatically trigger different early warning strategies;The execution process of management task work order is tracked throughout the process.The application realizes dynamic quantitative evaluation and four-level intelligent classification of safety risk, through the integration of closed-loop management monitoring mechanism and AI image recognition verification, ensures that the hidden danger rectification is traceable, verifiable and archivable, effectively prevents the problems of missed reports, false reports and incomplete rectification, and finally realizes the intelligent, refined and closed-loop control of chemical production safety risk, significantly improves the intrinsic safety level and emergency response efficiency.

The invention discloses a safe diborane mixed gas filling method, and relates to the technical field of gas filling, diborane decomposition by-product concentration is collected in real time through double sensing units, filling pressure, flow velocity and temperature are correlated and dynamically corrected through a closed-loop regulation and control algorithm, full-process safety control is matched, hidden decomposition risks are solved, and the safety of diborane mixed gas is guaranteed. The device has the advantages that the concentration of diborane decomposition byproducts is captured in real time through the double sensing units, the concentration of the byproducts is associated with the filling pressure, the flow velocity and the temperature by means of a closed-loop regulation and control algorithm and dynamically corrected, and full-process management and control such as gas cylinder pretreatment before filling and pipeline residual gas recovery and harmless treatment after filling are matched; the core defects that in the prior art, a by-product and filling parameter linkage mechanism is lacked, and hidden decomposition risks cannot be recognized are overcome.

The application discloses a construction method for removing and transporting large existing equipment in a refrigeration machine room of a continuation project, which comprises two major procedures of equipment removal and equipment transportation. The removal procedure establishes a three-level decision mechanism of "overall transportation priority-structure reinforcement supplement-function section disintegration bottom-up", and sequentially completes pipeline separation, function section disintegration, protection and lifting point setting. The transportation procedure uses the existing basement ramp, adopts a combined system of winch+diversion pulley+ground tank to complete ramp traction, and finally realizes ground transfer and external transportation. The application does not need to add lifting holes and will not damage the sealed main structure. Through four quantitative calculations of structural bearing capacity, weld strength, traction force and steel wire rope stress, the whole process safety control is realized. The function section disintegration does not damage the core components of the equipment, maximizes the recycling value of the old equipment, adapts to the closed operation scene of the basement of the continuation project, and has strong operability and wide application range.

The application relates to a cup centralized feeding platform and relates to the field of cup production devices. In order to solve the problems of low efficiency of manual operation for feeding and discharging, placement on a transfer platform, non-standard placement mode and easy cup body damage, the cup centralized feeding platform comprises a placement platform, a conveying belt is arranged on the placement platform, a separation guide assembly is arranged on one side of the conveying belt, the placement platform is separated to form a plurality of column transmission channels, a feeding mechanical arm is arranged on one side of the conveying belt transmission terminal, horizontal clamps are arranged on the feeding mechanical arm, and the same row of cups moving to the transmission terminal are synchronously taken out for feeding. The application has the effects of improving cup feeding efficiency and feeding process safety.

The invention relates to a process security core data construction method, device, equipment and medium, and the method comprises the steps: executing time synchronization processing according to production process communication link information and security engineering communication link information to obtain edge time mark reference information, receiving production process perception data flow information based on the production process communication link information, and transmitting the production process perception data flow information to the security engineering communication link information. Receiving security engineering perception data flow information based on security engineering communication link information, obtaining hardware timestamp information based on edge time mark reference information, executing integrity verification on the aligned and fused data to obtain integrity verification result information, generating data quality label information based on the integrity verification result information, and sending the data quality label information to a server; and packaging the aligned fusion data and the data quality label information to generate safety production core data. The method has the effect of improving the reliability of the multi-source information association result.

The invention relates to the technical field of process safety, in particular to a robot for remotely detecting gas pipeline leakage and shutting off a valve, which comprises a remotely-controllable mechanical dog, a sensing mechanism is arranged on one side of the remotely-controllable mechanical dog and is used for sensing and analyzing the environment, a cylinder is fixedly connected to the remotely-controllable mechanical dog, and a valve is arranged on the cylinder. The sensing mechanism can sense the gas leakage position in the surrounding environment and drive the remote control type mechanical dog to move to the gas leakage position, then the adjusting block, the connecting rod, the assembling shell and a plurality of components are adjusted through stretching and retracting of the air cylinder, the remote control type mechanical dog is made to be close to the position of a valve handle to the maximum extent, coarse adjustment is conducted, and after the assembling shell is close to the position of the valve handle, manual adjustment is conducted. The horn shell is suspended to the upper side of the handle, then the valve is closed through the clamping and rotating mechanism, through the design, closing of the valve and treatment of gas leakage do not need to be conducted manually, and the operation safety, efficiency and sustainable operation time are greatly improved.

This utility model relates to the technical field of industrial fluid filtration and purification devices, and in particular to a parallel filtration and switching system for gas-solid separation of raw material gas, comprising three pre-filters. This utility model establishes a pipeline system with mutual backup by setting interconnecting pipelines and first isolation valves between the outlets of the three parallel-operating pre-filters. When any filter requires maintenance, simply closing the inlet and outlet valves of that filter and opening the corresponding first isolation valve automatically switches it to be supplied by other filters without stopping the operation of the corresponding compressor. This completely changes the traditional "shutdown for filter maintenance" operation mode, avoiding frequent compressor start-stops caused by filter maintenance. It not only greatly reduces the process safety and mechanical failure risks caused by frequent start-stops of high-pressure large equipment, but also reduces energy loss and equipment wear caused by the start-stop of backup units, improving the effective production time and operational economy of the device.

The utility model provides a kind of automatic stacking machine, it is related to instrument box stacking technical field, including conveying equipment, the mechanical arm of being set at the end of conveying equipment, and vacuum suction assembly being connected with mechanical arm and placing on the tray of the ground on the side of mechanical arm, still include limiting frame, dust chamber, suction assembly, electrostatic eliminator, thickness detection piece, visual detection piece and controller;Before the present application can be automatically removed dust and electrostatic on the surface of instrument storage box (removal rate can reach more than 85%) by conveying equipment, mechanical arm cooperate vacuum suction assembly to neatly stack instrument storage box on tray, and then the adverse effect of dust and electrostatic in vacuum suction process is significantly reduced after removal, in turn, the operation of vacuum suction assembly is more stable, so that the automatic stacking process safety of instrument storage box is improved.

The utility model relates to a dangerous object recovery processing device and vacuum processing equipment, and belongs to the technical field of vacuum system product recovery processing. The hazardous substance recovery processing device comprises a recovery processing cavity, the recovery processing cavity is provided with a sealable cavity, the recovery processing cavity comprises a condensing device, at least one first connector and at least one second connector, and the at least one first connector is used for being communicated with a vacuum pump to vacuumize the sealable cavity in a first time period; and communicating the target cavity in a second time period to receive the dangerous object discharged by the target cavity, the first time period is different from the second time period; and the at least one second interface is used for introducing a treatment agent, introducing the treatment agent for treating the hazardous substances and discharging the treated treatment agent. According to the dangerous object recycling treatment device, the safety maintenance treatment problem of process dangerous products is solved, the risk that safety accidents are likely to happen is effectively reduced, and the equipment process safety is optimized.

The application provides a water supply engineering water hammer protection and intelligent regulation system based on digital twinning, comprising: a monitoring management system, monitoring a plurality of state information of the water supply engineering; a digital twinning system, establishing a related hydraulics model of the water supply engineering, an analysis and prediction algorithm model according to the hydraulic operation state, the equipment operation state and the equipment state of the water supply engineering; a data center, storing a plurality of information of the water supply engineering, a model, a mode, a case and the like of the water supply engineering; a distributed water hammer protection equipment, realizing protection of conventional water hammer; a transient process intelligent scheduling system, controlling the performance of the water system component, realizing water quantity and pressure targets and process safety. The application takes online monitoring as the basis, network cooperation and sharing as the link, digital twinning and intelligent analysis as the core, and the running water quantity and pressure of the water supply network as the target, guarantees the process safety of daily operation and scheduling, and realizes the water supply engineering water hammer protection and intelligent regulation system of the whole life cycle monitoring and early warning of the water supply system.