Pulse controller test equipment

Abstract

The invention relates to the field of instrument testing, and discloses pulse controller testing equipment, which comprises a signal simulation unit, a parameter acquisition unit, a gas circuit control unit, a main control unit and a test board, the signal simulation unit generates simulated dust concentration and pressure difference signals; the parameter acquisition unit is used for acquiring blowing interval time, duration time and output voltage signals in real time; the air path control unit provides compressed air with adjustable pressure through an air storage tank, a pressure regulating valve and a pulse valve driving module, and a pressure sensor and a flow sensor feed back signals in real time so as to adjust air path parameters. The main control unit controls the test process and judges whether the pulse controller is abnormal based on the collected data; the test bench realizes equipment fixation and connection through a clamp and an electrical / pneumatic port. The device calculates a comprehensive abnormal index through standardized parameters, supports multi-stage early warning and fault determination, and is suitable for automatic testing of the pulse controller.

Description

Technical Field

[0001] The present invention relates to the field of instrument testing, and particularly to a pulse controller testing device. Background Art

[0002] As a core automation device in the industrial dust removal field such as bag dust collectors and cartridge dust collectors, the function of the pulse controller is to accurately control the opening and closing of the pulse valve to achieve timed or constant-pressure dust cleaning of the filter bags, ensuring the efficient operation of the dust removal equipment. Its working principle is: by setting parameters such as the blowing interval time, blowing duration, and cycle period through the internal circuit or program, an electrical signal is sent to the pulse valve to trigger the pulse valve to release compressed air to blow and clean the filter bags, stripping the dust and restoring the air permeability of the filter bags.

[0003] However, there are the following technical bottlenecks in the testing of existing pulse controllers: Single simulation of the test environment: Traditional testing equipment is difficult to accurately simulate complex environmental signals such as dust concentration and pressure difference in actual working conditions, resulting in a deviation between the test results and the true working state, and unable to comprehensively verify the stability of the equipment under different load conditions.

[0004] Lag in parameter monitoring and fault diagnosis: Most tests rely on manual observation of parameters such as blowing interval and voltage output, lacking the ability of real-time data collection and automated analysis, and unable to quickly locate abnormal parameters or compound faults, resulting in low test efficiency and high risk of misjudgment. Summary of the Invention

[0005] The purpose of the present invention is to provide a pulse controller testing device to solve at least one of the above technical problems.

[0006] The purpose of the present invention can be achieved through the following technical solutions: A pulse controller testing device includes: A signal simulation unit for generating a simulated dust concentration signal and a simulated pressure difference signal to simulate the input signal of the working environment of the pulse controller; A parameter acquisition unit for real-time collecting the blowing interval time, blowing duration of the pulse controller, and the output voltage signal of each channel, and uploading the data to the main control unit; An air circuit control unit including an air storage tank, a pressure regulating valve, and a pulse valve driving module. The air storage tank is connected to the pressure regulating valve and the pulse valve driving module in sequence through pipelines. The output end of the pulse valve driving module is connected to the test bench for providing compressed air with adjustable pressure; A main control unit for controlling the signal simulation unit and the air circuit control unit to act according to a preset test process; and judging whether there is an abnormality in the pulse controller based on the data of the parameter acquisition unit; The test bench includes a fixture for fixing the pulse controller, as well as electrical connection ports and pneumatic connection ports corresponding to each interface of the pulse controller.

[0007] In a further solution, the gas path control unit further includes a pressure sensor and a flow sensor; The pressure sensor is installed on the pipeline between the pressure regulating valve and the pulse valve drive module, and is used to monitor the pressure value of the compressed air in real time and feedback the pressure signal to the main control unit; The flow sensor is installed on the pipeline between the pulse valve drive module and the test bench, and is used to monitor the flow value of the compressed air in real time and feedback the flow signal to the main control unit; The main control unit adjusts the pressure regulating valve and the pulse valve drive module according to the signals fed back by the pressure sensor and the flow sensor to provide compressed air that meets the test requirements.

[0008] In a further solution, the process of the main control unit adjusting the pressure regulating valve and the pulse valve drive module according to the signals fed back by the pressure sensor and the flow sensor is as follows: Step 1: The main control unit receives the pressure value P and the flow value Q fed back by the pressure sensor and the flow sensor in real time; Step 2: Compare the received pressure value P with the preset target pressure value P0: When P < P0, control the pressure regulating valve to increase the opening degree until P reaches the preset range P0 ± ΔP; when P > P0, control the pressure regulating valve to decrease the opening degree until P reaches the preset range P0 ± ΔP; where ΔP is the preset allowable pressure fluctuation range; Step 3: Compare the received flow value Q with the preset target flow value Q0: When Q < Q0, control the pulse valve drive module to increase the pulse width or frequency until Q reaches the preset range Q0 ± ΔQ; when Q > Q0, control the pulse valve drive module to decrease the pulse width or frequency until Q reaches the preset range Q0 ± ΔQ; where ΔQ is the allowable flow fluctuation range; Step 4: Repeat Step 2 and Step 3 until the pressure value P and the flow value Q are both stable within the preset range and maintain the set duration T.

[0009] In a further solution, the calculation formula for the set duration T in Step 4 is: T = t1 + t2 × (|P - P0| / ΔP + |Q - Q0| / ΔQ); Where, t1 is the basic stable time, obtained based on historical data analysis; t2 is the unit adjustment time, obtained based on historical data analysis; P and Q are the currently measured pressure value and flow value respectively.

[0010] In a further solution, the process of judging whether there is an abnormality in the pulse controller based on the data of the parameter acquisition unit is: After normalizing the injection interval time \(T_{in}\), injection duration \(T_d\), and the output voltage signal \(V_{out}\) of each channel, \(F1\), \(F2\), and \(F3\) are obtained respectively and substituted into the formula: to calculate the comprehensive anomaly index \(E\); where, is the mean value of the th parameter, is the th standard deviation of the parameter, is 1, 2, 3, corresponding to the injection interval time, injection duration, and channel output voltage respectively, is the weight coefficient corresponding to each parameter, determined based on historical data analysis; Compare the comprehensive anomaly index \(E\) with the comprehensive anomaly thresholds \(Eth1\) and \(Eth2\); When \(E\leq Eth1\), it is determined that the pulse controller is normal; When \(Eth1 < E\leq Eth2\), it is determined that there is an anomaly in the pulse controller and a warning is triggered; When \(E > Eth2\), it is determined that there is a fault in the pulse controller and the test is immediately stopped.

[0011] In a further solution, when \(Eth1 < E\leq Eth2\), the process of further analysis is as follows: Calculate the anomaly degree corresponding to each parameter through the formula ; where represents the weight coefficient of each parameter at time \(t\), , , is the initial weight coefficient, , are influencing factors, represents the curve of each parameter changing with time within a monitoring period from \(t0\) to \(t1\); Compare the anomaly degree corresponding to each parameter with the preset anomaly degree threshold ; when , it is determined that the corresponding parameter is abnormal. If there are two or more parameter anomalies at the same time, it is determined as a composite anomaly.

[0012] In a further solution, the signal simulation unit includes a microprocessor and a signal generation module; the microprocessor is used to generate digital signals, and the signal generation module includes a D / A converter for converting digital signals into analog dust concentration signals and analog differential pressure signals.

[0013] Further solution: The fixture includes a fixed base and a movable clamping block. The fixed base is fixed on the test bench. The movable clamping block is slidably connected to the fixed base through a guide rail, and the movable clamping block is threadedly connected to the fixed base through an adjusting screw. By rotating the adjusting screw, the distance between the movable clamping block and the fixed base can be adjusted to meet the fixing requirements of pulse controllers with different size specifications.

[0014] Advantages of the present invention: (1) The signal simulation unit of the present invention can generate adjustable simulated dust concentration signals and differential pressure signals to accurately reproduce the actual working environment of the pulse controller. Combining with the closed-loop regulation mechanism of the pressure (±ΔP fluctuation range) and flow rate (±ΔQ fluctuation range) of the gas path control unit, the refined control of the test conditions is realized, the reliability of the test results is improved, and the purpose of multi-dimensional simulation and precise control is achieved.

[0015] (2) The main control unit in the present invention standardizes the blowing interval time, duration, and voltage signals, calculates the comprehensive anomaly index E and sets multi-level thresholds (Eth1, Eth2), and can quickly determine the "normal - warning - fault" state of the equipment. When a warning is triggered, the single or composite parameter anomalies are further analyzed through the anomaly degree formula to achieve fault location, reduce the manual troubleshooting cost, improve the test efficiency, and achieve the purpose of intelligent anomaly diagnosis and warning. Description of the Drawings

[0016] The present invention will be further described below with reference to the accompanying drawings: Figure 1 is the structural block diagram of the present invention; Figure 2 is the structural schematic diagram of the fixture in the present invention.

[0017] Description of the Drawings: 10. Fixture; 101. Fixed base; 102. Movable clamping block; 103. Guide rail; 104. Adjusting screw; 20. Test bench. Detailed Embodiments

[0018] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0019] Please refer to Figure 1 - Figure 2 as shown. The present invention is a pulse controller test device, including: Signal simulation unit, used to generate analog dust concentration signals and analog differential pressure signals to simulate the input signals of the working environment of the pulse controller; Example: includes a microprocessor and a signal generation module; the microprocessor has an existing working condition simulation algorithm built-in, and can generate digital signals according to preset parameters. The signal generation module includes a D / A converter and a signal conditioning circuit. The D / A converter is used to convert the digital signal into an analog dust concentration signal of 0-10V (corresponding to a dust concentration of 0-2000mg / m³) and an analog differential pressure signal (corresponding to a differential pressure of 0-5kPa). The signal conditioning circuit can fine-tune the signal amplitude (accuracy ±0.1V) and frequency (adjustable from 0.1-10Hz) to simulate the dust concentration gradient change and differential pressure fluctuation conditions in different industrial scenarios.

[0020] Parameter acquisition unit, used to collect the blowing interval time, blowing duration and output voltage signals of each channel of the pulse controller in real time, and upload the data to the main control unit; Example: The multi-channel data acquisition card supports at least 8-channel synchronous acquisition, the sampling frequency is not less than 100kHz, and it can collect the blowing interval time (resolution 0.01s), blowing duration (resolution 0.001s) and output voltage signals of each channel (accuracy ±0.05V) of the pulse controller in real time; The signal isolation module uses optoelectronic isolation technology to suppress the common-mode interference in the test circuit and ensure the accuracy of the collected data.

[0021] Pneumatic control unit, including an air storage tank, a pressure regulating valve and a pulse valve drive module. The air storage tank is connected to the pressure regulating valve and the pulse valve drive module in sequence through pipelines. The output end of the pulse valve drive module is connected to the test bench 20 to provide compressed air with adjustable pressure; Example: The volume of the air storage tank is not less than 50L, the rated pressure is 1.0MPa, and it is connected to the pressure regulating valve (adjustment accuracy ±0.01MPa) and the pulse valve drive module (supporting pulse width adjustment of 0.01-100ms, frequency adjustable from 0.1-20Hz) in sequence through high-pressure-resistant pipelines; A pressure sensor (accuracy ±0.5%FS) is installed on the pipeline between the pressure regulating valve and the pulse valve drive module, and a flow sensor (accuracy ±1%FS) is installed on the pipeline between the pulse valve drive module and the test bench 20. Both use 4-20mA current signal output to feedback the pressure and flow data to the main control unit in real time.

[0022] Main control unit, used to control the signal simulation unit and the pneumatic control unit to act according to the preset test process; and based on the data of the parameter acquisition unit, judge whether there is an abnormality in the pulse controller; based on the real-time data of the parameter acquisition unit, through algorithms and comprehensive anomaly index models, realize the hierarchical determination of the normal-warning-fault states of the pulse controller.

[0023] Test bench 20, including a fixture 10 for fixing the pulse controller, and electrical connection ports and pneumatic connection ports corresponding to each interface of the pulse controller. The fixture 10 includes: a fixed seat 101 and a movable clamping block 102. The fixed seat 101 is fixed on the test bench 20. The movable clamping block 102 is slidably connected to the fixed seat 101 through a guide rail 103, and the movable clamping block 102 is threadedly connected to the fixed seat 101 through an adjusting screw 104. By rotating the adjusting screw 104, the distance between the movable clamping block 102 and the fixed seat 101 can be adjusted to meet the fixing requirements of pulse controllers of different sizes and specifications; on the surface of the test bench 20, there are electrical connection ports (such as DB25 pin sockets) and pneumatic connection ports (such as quick-connect pneumatic tube fittings) corresponding to the interfaces of the pulse controller. The electrical ports are built-in with reverse connection protection circuits, and the pneumatic ports support air pressure input of 0.4 - 0.8 MPa.

[0024] Through the above technical solutions, the microprocessor and D / A converter of the signal simulation unit can generate high-precision and adjustable analog dust concentration and differential pressure signals, covering the main parameter ranges of industrial dust removal scenarios, making the test environment closer to the actual working conditions, solving the problem of single traditional test environment, and improving the reliability of test results; the multi-channel data acquisition card of the parameter acquisition unit supports high-frequency synchronous sampling and high-precision measurement, and cooperates with the optoelectronic isolation module to suppress electromagnetic interference, and can obtain the dynamic parameters of the pulse controller in real time and accurately, avoiding the lag and error of manual monitoring, and providing a reliable data basis for fault diagnosis; the gas path control unit realizes closed-loop feedback through the pressure sensor and the flow sensor, and combines the high-precision adjustment of the pressure regulating valve and the pulse valve drive module, and can stably output compressed air that meets the test requirements, improving the test efficiency.

[0025] The gas path control unit also includes a pressure sensor and a flow sensor; The pressure sensor is installed on the pipeline between the pressure regulating valve and the pulse valve drive module, and is used to monitor the pressure value of the compressed air in real time and feedback the pressure signal to the main control unit; The flow sensor is installed on the pipeline between the pulse valve drive module and the test bench, and is used to monitor the flow value of the compressed air in real time and feedback the flow signal to the main control unit; The main control unit adjusts the pressure regulating valve and the pulse valve drive module according to the signals fed back by the pressure sensor and the flow sensor to provide compressed air that meets the test requirements.

[0026] The process of the main control unit adjusting the pressure regulating valve and the pulse valve drive module according to the signals fed back by the pressure sensor and the flow sensor is as follows: Step 1: The main control unit receives the pressure value P and the flow value Q fed back by the pressure sensor and the flow sensor in real time; Step 2: Compare the received pressure value P with the preset target pressure value P0: When P < P0, control the pressure regulating valve to increase the opening until P reaches the preset range P0 ± ΔP; when P > P0, control the pressure regulating valve to decrease the opening until P reaches the preset range P0 ± ΔP; where ΔP is the preset allowable pressure fluctuation range; Step 3: Compare the received flow rate value Q with the preset target flow rate value Q0: When Q < Q0, control the pulse valve drive module to increase the pulse width or frequency until Q reaches the preset range Q0 ± ΔQ; when Q > Q0, control the pulse valve drive module to decrease the pulse width or frequency until Q reaches the preset range Q0 ± ΔQ; where ΔQ is the allowable flow rate fluctuation range; Step 4: Repeat Step 2 and Step 3 until both the pressure value P and the flow rate value Q are stably within the preset range and maintained for a set duration T.

[0027] The calculation formula for the set duration T in Step 4 is: T = t1 + t2 × (|P - P0| / ΔP + |Q - Q0| / ΔQ); the set duration T is the duration that needs to be maintained after the pressure and flow rate are stably within the preset range; the stabilization time consists of two parts: "basic duration" and "deviation compensation duration"; the greater the deviation between the current pressure / flow rate and the target value, that is, the greater |P - P0| / ΔP or |Q - Q0| / ΔQ, the longer the required additional stabilization time, ensuring that the system fully eliminates the influence of fluctuations.

[0028] Among them, t1 is the basic stabilization time, obtained based on historical data analysis, with a value range of 10 - 20 s; t2 is the unit regulation time, obtained based on historical data analysis, with a value range of 2 - 5 s; P and Q are the currently measured pressure value and flow rate value respectively. If the test stops just when the pressure / flow rate enters the preset range, it may lead to inaccurate performance data of the pulse controller due to residual minor fluctuations, such as test deviations in the dust cleaning effect when the injection pressure is insufficient; by calculating the stabilization duration through the formula T = t1 + t2 × (|P - P0| / ΔP + |Q - Q0| / ΔQ), it can ensure that the parameters remain stable for a sufficient long time, avoiding test misjudgments caused by short-term fluctuations; at the same time, in industrial scenarios, the pulse controller usually needs to operate continuously under stable gas source conditions; the formula T = t1 + t2 × (|P - P0| / ΔP + |Q - Q0| / ΔQ) simulates the process of "the system gradually stabilizing after load changes" in actual applications by extending the stabilization time when the deviation is large, making the test results closer to the actual working state.

[0029] Example: The pressure regulating valve control method is as follows: Pressure regulating valve, opening resolution 0.1%, adjustment response time ≤ 50 ms; when |P - P0| > ΔP, the opening adjustment amount ΔV = Kp×(P - P0) + Ki×∫(P - P0)dt, where Kp = 0.8, Ki = 0.05, integral limit ±10%; Kp is the proportional coefficient, Ki is the integral coefficient; The opening adjustment step ≤ 5% / s to prevent sudden pressure changes.

[0030] The control method of the pulse valve drive module is as follows: PWM control is adopted, with a frequency range of 1 Hz to 1 kHz and a duty cycle resolution of 0.1%.

[0031] When Q < Q0, the duty cycle increases according to ΔD = β×(Q0 - Q) / Q0, β = 0.5 (step limit ±2% / s), β is the flow deviation amplification coefficient, which converts the flow deviation percentage into the duty cycle adjustment amount; when Q > Q0, the frequency decreases according to ΔF = γ×(Q - Q0) / Q0, γ = 0.3 (frequency lower limit 10 Hz), the flow deviation amplification coefficient, which converts the flow deviation percentage into the frequency adjustment amount.

[0032] In this embodiment, on the one hand, through the real-time feedback of the pressure and flow double sensors and combined with the adjustment algorithm, high-precision closed-loop control of the gas path parameters is achieved, significantly improving the control accuracy and response speed, effectively suppressing system overshoot, and the performance is superior to the traditional open-loop control scheme.

[0033] On the other hand, through the dual-parameter collaborative adjustment mechanism, it supports flexible switching of test scenarios, realizes the accurate simulation of complex gas source fluctuations in the industrial field, highly reproduces the real working environment, and provides reliable performance verification conditions for the pulse controller; finally, through the stable maintenance time calculation mechanism, the test accuracy is further improved, and the consistency and repeatability of batch tests are enhanced.

[0034] The process of judging whether there is an abnormality in the pulse controller based on the data of the parameter acquisition unit is as follows: After normalizing the injection interval time T_in, injection duration T_d and the output voltage signal V_out of each channel, F1, F2, and F3 are obtained respectively, and substituted into the formula: to calculate the comprehensive abnormality index E; the above formula realizes the intelligent abnormality diagnosis of the pulse controller through multi-parameter quantitative analysis, which can convert each parameter into a standard score, representing the measured value F K and the deviation degree from the historical mean The comprehensive abnormality index E: linearly superimposes the deviation degrees of multiple parameters to generate a quantization index in the range of 0 to ∞, and realizes three-level judgment through preset thresholds (Eth1, Eth2).

[0035] Among them, is the mean value of the th parameter, is the standard deviation of the th parameter, is 1, 2, 3, corresponding to the injection interval time, injection duration, and channel output voltage respectively, is the weight coefficient corresponding to each parameter, determined based on historical data analysis; Compare the comprehensive anomaly index E with the comprehensive anomaly thresholds Eth1 and Eth2; When E ≤ Eth1, it is determined that the pulse controller is normal; When Eth1 < E ≤ Eth2, it is determined that there is an anomaly in the pulse controller and a warning is triggered; When E > Eth2, it is determined that there is a fault in the pulse controller and the test is immediately stopped.

[0036] In this embodiment, on the one hand, through standardization processing and weighted calculation, multi-dimensional parameters such as injection interval, duration, and voltage are fused into a single comprehensive index E to avoid misjudgment of a single parameter; for example, when the injection interval is extended but the voltage is normal, E only rises slightly to trigger a warning, rather than directly determining a fault, improving the diagnostic accuracy. On the other hand, two-level thresholds are preset to achieve hierarchical management of "normal - warning - fault": warning state Eth1 < E ≤ Eth2: The test can continue and the trend of abnormal parameters can be recorded, which is suitable for early performance decline monitoring such as the initial stage of component aging; fault state E > Eth2: Forced shutdown protection to prevent equipment damage or safety accidents caused by serious anomalies such as sudden voltage drop leading to out-of-control of the pulse valve.

[0037] When Eth1 < E ≤ Eth2, the process of further analysis is as follows: Through the formula Calculate the anomaly degree corresponding to each parameter; represents the product of the real-time weight and the absolute deviation of the parameter, reflecting the contribution of the parameter to the anomaly, represents the sum of the contribution amounts of all parameters, ensuring that is normalized to the interval [0, 1] for easy horizontal comparison.

[0038] Among them represents the weight coefficient of each parameter at time t, , is the initial weight coefficient, , are influence factors, represents the curve of each parameter changing with time within a monitoring period from t0 to t1; is used to measure the amplification effect of the duration of the parameter deviating from the mean value on the weight, Used to measure the amplification effect of the extreme value difference of parameters on the weight, represents the integral of the absolute deviation of the parameter within the monitoring period [t0, t1], reflecting the time cumulative effect of the deviation, represents the difference between the maximum and minimum values of the parameter within the monitoring period, reflecting the fluctuation range; The abnormality degree corresponding to each parameter is compared with the preset abnormality degree threshold ; when , it is determined that the corresponding parameter is abnormal. If there are two or more parameter abnormalities at the same time, it is determined as a composite abnormality.

[0039] It is represented by the formula that the weight coefficient is dynamically adjusted according to the deviation degree and duration of the parameter. The longer the abnormality lasts or the greater the fluctuation, the higher the weight. Example: If the injection interval continuously deviates from the mean value (the integral term increases) and the fluctuation range is large (the extreme value difference increases), then is significantly higher than the initial value , making it play a dominant role in the calculation of the abnormality degree. Thus, the limitations of the static weight are avoided, and it adapts to the dynamic evolution process of parameter abnormalities. For example: short-term voltage fluctuations (small integral term) have a low weight and are not easily misjudged; long-term abnormalities in the injection interval (large integral term) have a high weight and trigger early warnings preferentially; It is represented by the formula to quantify the contribution ratio of a single parameter to the comprehensive abnormality index E. The larger the value, the more it indicates that the parameter is the main cause of the abnormality. On the one hand, by quickly identifying abnormal parameters, the scope of manual investigation is reduced, such as preferentially checking the setting logic of the injection interval time, which plays a role in fault location; on the other hand, through the superposition of the contribution degrees of multiple parameters, hidden correlations between parameters are found, such as an extended injection interval accompanied by a decrease in voltage, which may indicate a power module failure, playing a role in identifying composite abnormalities. Through the double weighting of the "duration" and "fluctuation range" of abnormal parameters by the real-time weight coefficient, accidental interference and real faults can be distinguished. The calculation of the abnormality degree through multi-parameter normalization comparison can discover composite problems that cannot be identified by traditional single-parameter threshold alarms due to the cooperative abnormalities between parameters (such as a shortened injection interval but an extended duration, which may mutually cover up real faults).

[0040] The signal simulation unit includes a microprocessor and a signal generation module; the microprocessor is used to generate digital signals, and the signal generation module includes a D / A converter for converting digital signals into analog dust concentration signals and analog differential pressure signals.

[0041] It should be noted that: the calculation formulas and all parameters participating in the operation in the present invention have been pre-processed dimensionless, and the process of dimensionless processing is well-known in the industry and will not be described here.

[0042] The above has described in detail an embodiment of the present invention, but the above content is only a preferred embodiment of the present invention and cannot be considered as limiting the scope of implementation of the present invention. All equivalent changes and improvements made according to the scope of the application of the present invention shall still fall within the scope covered by the patent of the present invention.

Claims

1. A pulse controller testing device, characterized in that, Comprising: A signal simulation unit for generating an analog dust concentration signal and an analog differential pressure signal to simulate the input signals of the working environment of the pulse controller; A parameter acquisition unit for collecting in real time the pulse interval time, pulse duration of the pulse controller, and the output voltage signals of each channel, and uploading the data to the main control unit; An air circuit control unit, including an air storage tank, a pressure regulating valve, and a pulse valve driving module. The air storage tank is connected to the pressure regulating valve and the pulse valve driving module in sequence through pipelines. The output end of the pulse valve driving module is connected to the test bench for providing compressed air with adjustable pressure; A main control unit for controlling the signal simulation unit and the air circuit control unit to act according to a preset test process; And judging whether there is an abnormality in the pulse controller based on the data of the parameter acquisition unit; A test bench, including a fixture for fixing the pulse controller, and electrical connection ports and pneumatic connection ports corresponding to each interface of the pulse controller.

2. The pulse controller testing device according to claim 1, characterized in that, The air circuit control unit further includes a pressure sensor and a flow sensor; The pressure sensor is installed on the pipeline between the pressure regulating valve and the pulse valve driving module for monitoring in real time the pressure value of the compressed air and feeding back the pressure signal to the main control unit; The flow sensor is installed on the pipeline between the pulse valve driving module and the test bench for monitoring in real time the flow value of the compressed air and feeding back the flow signal to the main control unit; The main control unit adjusts the pressure regulating valve and the pulse valve driving module according to the signals fed back by the pressure sensor and the flow sensor to provide compressed air meeting the test requirements.

3. The pulse controller testing device according to claim 2, characterized in that The process of the main control unit adjusting the pressure regulating valve and the pulse valve driving module according to the signals fed back by the pressure sensor and the flow sensor is as follows: Step 1: The main control unit receives in real time the pressure value P and the flow value Q fed back by the pressure sensor and the flow sensor; Step 2: Compare the received pressure value P with the preset target pressure value P0: When P < P0, control the pressure regulating valve to increase the opening degree until P reaches the preset range P0 ± ΔP; when P > P0, control the pressure regulating valve to decrease the opening degree until P reaches the preset range P0 ± ΔP; where ΔP is the preset allowable pressure fluctuation range; Step 3: Compare the received flow value Q with the preset target flow value Q0: When Q < Q0, control the pulse valve driving module to increase the pulse width or frequency until Q reaches the preset range Q0 ± ΔQ; when Q > Q0, control the pulse valve driving module to decrease the pulse width or frequency until Q reaches the preset range Q0 ± ΔQ; where ΔQ is the allowable flow fluctuation range; Step 4: Repeat Step 2 and Step 3 until the pressure value P and the flow value Q are both stable within the preset range and maintained for a set duration T.

4. The pulse controller test equipment according to claim 3, wherein The calculation formula for the set duration T in Step 4 is: T = t1 + t2×(|P - P0| / ΔP + |Q - Q0| / ΔQ); Wherein, t1 is the basic stabilization time obtained based on historical data analysis; t2 is the unit adjustment time obtained based on historical data analysis; P and Q are respectively the currently measured pressure value and flow value.

5. The pulse controller testing device according to claim 1 or 3, characterized in that, The process of determining whether there is an abnormality in the pulse controller based on the data of the parameter acquisition unit is as follows: After normalizing the injection interval time \(T_{in}\), injection duration \(T_d\), and the output voltage signal \(V_{out}\) of each channel, \(F1\), \(F2\), and \(F3\) are obtained respectively and substituted into the formula: to calculate the comprehensive anomaly index \(E\). Among them, is the mean value of the th parameter, is the standard deviation of the th parameter, is 1, 2, 3, corresponding to the injection interval time, injection duration and channel output voltage respectively, is the weight coefficient corresponding to each parameter, determined based on historical data analysis; Compare the comprehensive abnormality index E with the comprehensive abnormality thresholds Eth1 and Eth2; When E ≤ Eth1, it is determined that the pulse controller is normal; When Eth1 < E ≤ Eth2, it is determined that the pulse controller has an abnormality and a warning is triggered; When E > Eth2, it is determined that the pulse controller has a fault and the test is immediately stopped.

6. The pulse controller testing device according to claim 5, characterized in that When Eth1 < E ≤ Eth2, the process of further analysis is as follows: Through the formula calculate the anomaly degree corresponding to each parameter ; where represents the weight coefficient of each parameter at time t, , is the initial weight coefficient, , are influence factors, represents the curve of each parameter changing with time within a monitoring period from t0 to t1; The abnormality degree corresponding to each parameter is compared with a preset abnormality degree threshold ; when , it is determined that the corresponding parameter is abnormal. If there are two or more parameter abnormalities at the same time, it is determined as a compound abnormality.

7. The pulse control instrument testing device according to claim 1, wherein, The signal simulation unit includes a microprocessor and a signal generation module; the microprocessor is used to generate digital signals, and the signal generation module includes a D / A converter for converting digital signals into analog dust concentration signals and analog differential pressure signals.

8. The pulse control instrument testing device according to claim 1, wherein The fixture includes: A fixed seat and a movable clamping block. The fixed seat is fixed on the test bench. The movable clamping block is slidably connected to the fixed seat through a guide rail, and the movable clamping block is threadedly connected to the fixed seat through an adjusting screw. By rotating the adjusting screw, the distance between the movable clamping block and the fixed seat can be adjusted to meet the fixing requirements of pulse controllers with different size specifications.

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