An architectural method for building an intelligent measurement system for a rocket engine test bench

Abstract

The present invention provides a method for constructing an intelligent measurement system for a rocket engine test bench, which provides a solution. This solution provides a three-layer hierarchical intelligent measurement system architecture, which can improve the efficiency and fault diagnosis speed of the rocket engine test bench measurement system.

Description

Technical Field

[0001] The present invention relates to an intelligent measurement and control system and measurement technology, and in particular to aerospace special measurement. Background Art

[0002] The traditional data acquisition mode in the existing rocket engine test bench measurement system. The analog signal is transmitted to the acquisition system via a long line, and the data is processed, displayed and fault diagnosed in a centralized manner. The intelligent system provided by the present invention realizes online real-time diagnosis of the system on the basis of completing accurate data acquisition. The intelligent system provided by the present invention improves the efficiency, reliability, stability and anti-interference of the measurement system. And improves the efficiency and real-time performance of troubleshooting. During the test, when the test data is abnormal, the existing test state cannot determine whether the abnormality comes from a fault in the sensor itself, signal interference, or a state change or fault in the test system. Manual fault judgment is inefficient, cannot be real-time, and there are uncontrollable factors. The intelligent system provided by the present invention performs diagnosis at three levels: the intelligent acquisition module layer, the controller layer and the host computer layer, in real time and efficiently. Summary of the invention

[0003] In order to solve the above problems, the present invention provides an architecture method for building an intelligent measurement system for a rocket engine test bench. The system includes three levels: an intelligent acquisition module, a controller and a host computer.

[0004] Each field sensor is equipped with an intelligent acquisition module; the intelligent acquisition module converts the output signal of the sensor into a digital quantity at a short distance and with high precision, and performs filtering processing when necessary; the intelligent acquisition module selects the corresponding conditioning circuit according to the type of sensor output signal (4-20mA standard signal, mV level small signal).

[0005] The intelligent acquisition module makes simple judgments on single-point parameters (upper and lower limits, upper and lower limits of slope), and can directly output emergency disposal signals when necessary to ensure the safety of key parameters; it stores short-term historical data locally to prevent data loss when problems occur in the communication link.

[0006] The controller makes real-time judgments on the outputs of all sensors in the functional group according to the fault condition definition matrix. When a fault is detected, it outputs an emergency disposal signal and reports to the superior.

[0007] The host computer conducts a comprehensive analysis of the fault status reported by each field controller, generates the overall fault status of the system, issues an alarm and outputs an emergency disposal signal; the host computer saves and analyzes all historical data of a test.

[0008] The intelligent acquisition module layer, controller layer, and host computer can all judge the parameters and output emergency disposal signals. The three layers can judge different parameters separately, or they can judge the same parameter repeatedly, or the judged parameters can be mutually inclusive. Under normal circumstances, the sensor layer makes a simple judgment on a single parameter, the controller layer makes a comprehensive judgment on more parameters, and the host computer can perform data fusion and more intelligent judgment on all parameters. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] Figure 1 This is a schematic diagram of multi-layer repeated judgment and disposal logic.

[0010] Figure 2 System structure diagram DETAILED DESCRIPTION

[0011] In order to make the technical means, innovative features, objectives and effects of the present invention easier to understand, the present invention is further described below using a specific implemented system in combination with specific diagrams.

[0012] To facilitate understanding of the content of the present invention, this intelligent measurement system is constructed based on the burner process measurement system. The input signals of the system are: pressure sensor, temperature sensor, flow sensor from the site, all of which are 4-20mA signals. The intelligent measurement and control system consists of an intelligent acquisition module, a controller, and a host computer. Its structure diagram and hierarchical function diagram are shown in the figure. Figure 2 shown.

[0013] The intelligent acquisition module is composed of a central control unit, a communication unit, a data storage unit, a power management unit, a data acquisition unit, etc. The controller is composed of a central control unit, a monitoring module communication unit, a data storage unit, a power management unit, etc.

[0014] The software design mainly includes four parts: TCP / IP data communication, interface display, data processing, and data storage. The host computer and the slave computer communicate through TCP / IP. The host computer completes data processing, display, storage, and early warning. The slave computer transmits to the host computer: the flag information of each sensor; the data of the sensor; the self-diagnosis information of the sensor (over-limit). The host computer transmits to the slave computer: control to start acquisition, stop acquisition, and configure the sampling rate, etc.

[0015] Implement fault diagnosis function in the intelligent acquisition module: emergency shutdown when a certain temperature exceeds 1600℃.

[0016] Implement fault diagnosis function in the controller: four pressure parameters, one flow parameter. Judge the emergency shutdown function.

[0017] Implement fault diagnosis function on the host computer: use principal component analysis method and RBF radial basis neural network method to perform sensor fault diagnosis and signal online recovery; use SOM self-organizing map neural network method to perform real-time fault diagnosis on mature model engine tests, and use knowledge-based method to perform real-time fault diagnosis on newly developed model engine tests;

[0018] Technical personnel in this industry can make various changes and improvements to the present invention without departing from the spirit and protection scope of the present invention, which all fall within the scope of protection required by the present invention.

Claims

1. A method for constructing an intelligent measurement system for a rocket engine test bench, which is used to improve the efficiency of the rocket engine test bench measurement system and the emergency shutdown judgment speed; it is characterized by: The system constructed by this method includes three levels: intelligent acquisition module, controller and host computer; each field sensor is equipped with an intelligent acquisition module to convert the output signal of the sensor into digital quantity with high precision and perform filtering processing; the intelligent acquisition module selects the corresponding conditioning circuit according to the type of sensor output signal, including 4-20mA standard signal and mV level small signal; the intelligent acquisition unit makes a simple judgment on single-point parameters, the controller layer makes a comprehensive judgment on multiple parameters, and the host computer performs data fusion and more intelligent judgment on all parameters; Each of the three levels can perform emergency shutdown interpretation and send emergency shutdown signals to the actuators to ensure the safety of key parameters and the overall safety of the test bench; The emergency shutdown judgment realized by the intelligent acquisition module includes: upper and lower limit judgment of single point parameters and upper and lower limit judgment of slope; The emergency shutdown judgment implemented by the controller includes: real-time judgment of the outputs of all sensors in the specified functional group according to the fault condition definition matrix; The emergency shutdown judgment realized by the host computer includes: comprehensive analysis of the fault status reported by each field controller, real-time judgment using algorithms, and generating the overall fault status of the system; the adopted algorithm can distinguish the fault from the sensor itself, the state change of the test system or other faults; the fault diagnosis function is realized on the host computer: the principal component analysis method and the RBF radial basis neural network method are used for sensor fault diagnosis and signal online recovery, the SOM self-organizing map neural network method is used for real-time fault diagnosis of mature model engine tests, and the knowledge-based method is used for real-time fault diagnosis of newly developed model engine tests; Both the intelligent acquisition unit and the controller can store short-term historical data locally to prevent data loss when there is a problem with the communication link; the host computer saves and analyzes all the data of a test.

2. The method for constructing an intelligent measurement system for a rocket engine test bench according to claim 1, characterized in that: The three layers of intelligent acquisition module layer, controller layer and host computer can judge different parameters respectively, or make repeated judgments on the same parameter.

Images