A method and system for determining energy parameters

Abstract

This application provides a method and system for determining energy parameters, relating to the field of energy metering technology, to solve the problem of inaccurate energy parameter determination. The method includes: acquiring Raman scattered light and transmitted interference light generated by the interaction of a frequency-repetition-locked dual-comb pulse sequence with the energy to be measured; locking the frequency of the dual-comb pulse sequence to a standard frequency defined by a quantum frequency reference; determining the composition parameters of the energy to be measured based on the Raman scattered light, and determining the refractive index parameters of the energy to be measured based on the transmitted interference light; and determining the density parameters and / or flow rate parameters of the energy to be measured based on the composition parameters and refractive index parameters.

Description

Technical Field

[0001] This application relates to the field of energy metering technology, and in particular to a method and system for determining energy parameters. Background Technology

[0002] In the trade and industrial measurement of energy (such as natural gas and hydrogen), it is necessary to determine the composition, density, flow rate and other parameters of the energy to be measured with high precision.

[0003] Traditional measurement methods typically require separate measurements of parameters such as the composition, density, and flow rate of the energy being measured using different sensors. Furthermore, the transfer of measurement values ​​relies on multi-level standards for traceability, which makes the measurement results highly susceptible to cumulative errors and makes it difficult to achieve high-precision multi-parameter collaborative determination. Summary of the Invention

[0004] This disclosure provides a method and system for determining energy parameters to solve the problem of inaccurate energy parameter determination.

[0005] To achieve the above objectives, this application adopts the following technical solution: In a first aspect, a method for determining energy parameters is provided, comprising: acquiring Raman scattered light and transmitted interference light generated by the interaction of a frequency-repetition-difference-locked dual-comb pulse sequence with an energy source to be measured; locking the frequency of the dual-comb pulse sequence to a standard frequency defined by a quantum frequency reference; determining the composition parameters of the energy source to be measured based on the Raman scattered light, and determining the refractive index parameters of the energy source to be measured based on the transmitted interference light; and determining the density parameters and / or flux parameters of the energy source to be measured based on the composition parameters and the refractive index parameters.

[0006] As can be seen from the above, the energy parameter determination method provided in this application obtains the Raman scattered light and transmitted interference light generated by the interaction between the dual optical comb pulse sequence locked by the repetition frequency difference and the energy to be measured, and uses the frequency of the dual optical comb pulse sequence locked to the standard frequency defined by the quantum frequency reference, so that the entire measurement process can be directly traced to the quantum frequency reference, thereby avoiding the error accumulation caused by the step-by-step transmission in the traditional four-level value transfer chain, and also eliminating the need to disassemble the equipment and send it to a legal verification institution for offline verification, thus realizing real-time on-site measurement.

[0007] Secondly, the component parameters are determined based on the Raman scattering light generated by the interaction between the same set of dual-comb pulse sequences and the energy to be measured, and the refractive index parameters are determined based on the transmitted interference light. This achieves the synchronous acquisition of multiple parameters based on the same light source, solving the problems of poor parameter coordination and susceptibility to interference caused by the use of a single sensor for separate measurements in traditional technologies.

[0008] Furthermore, by combining component parameters with refractive index parameters to determine the density and / or flow parameters of the energy to be measured, the measurement accuracy under complex operating conditions (such as gas fluctuations, temperature and pressure changes) is further improved, thereby effectively overcoming technical problems such as excessively long value transfer chains, low accuracy of multi-parameter collaborative measurement, poor adaptability to complex operating conditions, and insufficient traceability.

[0009] Secondly, an energy parameter determination system is provided, comprising: a quantum light source module for generating a repetition rate difference-locked dual-comb pulse sequence, wherein the frequency of the dual-comb pulse sequence is locked to a standard frequency defined by a quantum frequency reference; a measurement chamber for containing the energy to be measured and receiving the dual-comb pulse sequence, thereby enabling the dual-comb pulse sequence to interact with the energy to be measured; a parameter detection module for collecting Raman scattered light and transmitted interference light generated by the interaction from the measurement chamber; and an energy parameter determination module for determining the composition parameters of the energy to be measured based on the Raman scattered light, determining the refractive index parameters of the energy to be measured based on the transmitted interference light, and determining the density parameters and / or flux parameters of the energy to be measured based on the composition parameters and refractive index parameters.

[0010] Thirdly, an energy parameter determination device is provided, including a memory and a processor; the memory is used to store computer-executed instructions, and the processor is connected to the memory via a bus; when the energy parameter determination device is running, the processor executes the computer-executed instructions stored in the memory, so that the energy parameter determination device performs the energy parameter determination method of the first aspect.

[0011] The energy parameter determining device can be an electronic device or a component of an electronic device, such as a chip system within an electronic device. This chip system supports the electronic device in implementing the functions involved in the first aspect and any possible implementation thereof, such as acquiring and determining the data and / or information involved in the aforementioned energy parameter determining method. The chip system includes a chip, but may also include other discrete devices or circuit structures.

[0012] Fourthly, a computer-readable storage medium is provided, comprising computer-executable instructions that, when executed on a computer, cause the computer to perform the energy parameter determination method described in the first aspect.

[0013] Fifthly, a computer program product is provided, comprising a computer program or instructions that, when executed on an energy parameter determining device, cause the energy parameter determining device to perform the energy parameter determining method as described in the first aspect above.

[0014] It should be noted that the aforementioned computer instructions may be stored, in whole or in part, on a computer-readable storage medium. This computer-readable storage medium may be packaged together with the processor of the energy parameter determining device, or it may be packaged separately from the processor of the energy parameter determining device; this application does not limit this.

[0015] The descriptions of the second, third, fourth, and fifth aspects of this application can be referenced to the detailed description of the first aspect.

[0016] In the embodiments of this application, the name of the aforementioned energy parameter determining device does not limit the device or functional module itself. In actual implementation, these devices or functional modules may appear under other names. For example, the receiving unit may also be called a receiving module, receiver, etc. As long as the function of each device or functional module is similar to that of this application, it falls within the scope of the claims of this application and its equivalents. Attached Figure Description

[0017] Figure 1 This is a schematic diagram of the structure of an energy parameter determination system provided in an embodiment of this application; Figure 2 A circuit diagram of an energy parameter determination module provided in an embodiment of this application; Figure 3 A flowchart illustrating a method for determining energy parameters provided in an embodiment of this application; Figure 4 This is a schematic diagram of the structure of an energy parameter determination device provided in an embodiment of this application; Figure 5 This is a schematic diagram of the hardware structure of an energy parameter determination device provided in an embodiment of this application. Detailed Implementation

[0018] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0019] It should be noted that in the embodiments of this application, the words "exemplary" or "for example" are used to indicate examples, illustrations, or explanations. Any embodiment or design scheme described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design schemes. Specifically, the use of the words "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0020] To facilitate a clear description of the technical solutions of the embodiments of this application, the terms "first" and "second" are used in the embodiments of this application to distinguish the same or similar items with essentially the same function and effect. Those skilled in the art can understand that the terms "first" and "second" are not intended to limit the quantity or execution order.

[0021] As described in the background section, in the field of energy (e.g., natural gas) metering, the traditional value transfer system usually adopts a four-level transfer mode (also known as a value transfer chain) of "primary metering standard - secondary metering standard - working metering standard - field trade metering flow meter".

[0022] Specifically, natural gas metering has established two traceability chains: mt primary standard + nozzle secondary + standard meter method working level standard and HPPP primary standard + standard meter method working level standard device.

[0023] Among them, the primary standard device of the high-pressure natural gas MT method uses the MT method to trace back to the quality and time references, and performs quantity transfer through the secondary standard device of the critical flow Venturi nozzle method and the working level standard device of the standard table method.

[0024] The primary standard unit of the high-pressure HPPP method for natural gas uses a piston volume tube to trace back to the length and time references, and can directly transmit quantities to the working-level standard unit of the standard table method.

[0025] The secondary standard device for the critical flow Venturi nozzle method consists of a critical flow Venturi nozzle installed in parallel, a gas pipeline process flow, an online chromatograph, a test stage, a temperature and pressure change system, and a data acquisition and analysis system. Back pressure conditions need to be established during operation.

[0026] The working metrological standard device consists of a multi-channel (e.g., 8-channel or 12-channel) turbine flow meter, an ultrasonic verification flow meter, a chromatograph, pressure and temperature transmitters, a test station, and a data acquisition and processing system. During the value transfer process, the flow meter used for trade transfer needs to be disassembled and installed at the test station of the calibration agency, and the accuracy of the flow meter is evaluated by comparison.

[0027] The basic value transfer chain of the traditional natural gas value transfer system is as follows: mass and time measurement reference — primary metering standard device — secondary metering standard device — working level metering standard device — field flow meter, which is a relatively long value transfer chain.

[0028] The above-mentioned four-level value transfer mode has the following core technical problems: First, the excessively long value transmission chain leads to a significant cumulative effect of errors. Each level of transmission introduces factors such as equipment accuracy deviation and environmental interference, making it difficult to reduce the uncertainty index of on-site trade measurement (e.g., higher than 0.25%).

[0029] Secondly, the traditional measurement value transfer system relies on offline verification and calibration mode, which requires sending flow meters and other equipment to legal verification institutions in batches. This results in high transportation costs, complex operation procedures, and long verification cycles. During this period, continuous measurement cannot be achieved, making it poorly adaptable to large-scale measurement scenarios in long-distance pipelines.

[0030] Third, existing metering technologies are difficult to achieve simultaneous and accurate measurement of multiple parameters. As a multi-component mixed gas, the flow measurement of natural gas depends on the accurate acquisition of physical properties such as components and density. However, the traditional value transfer system uses a single sensor to measure separately, resulting in poor coordination between parameters and easy interference from gas quality fluctuations, pressure and temperature changes, etc., leading to large deviations in volumetric flow conversion.

[0031] Fourth, the traditional natural gas metering and value transfer system lacks quantum-level value traceability capabilities, making it difficult to overcome the limitations of classical shot noise and failing to meet the technical requirements of high-accuracy metering in energy systems.

[0032] Therefore, there is an urgent need to construct a method and system for determining energy parameters that can be directly traced to quantum frequency references, realize multi-parameter collaborative measurement, and support real-time on-site calibration, in order to solve technical problems such as excessively long value transfer chains, low accuracy of multi-parameter collaborative measurement, poor adaptability to complex working conditions, and insufficient traceability capabilities.

[0033] To address the aforementioned problems, this application provides a method for determining energy parameters, which can acquire Raman scattered light and transmitted interference light generated by the interaction of a frequency-repetition-locked dual-comb pulse sequence with an energy source to be measured. The frequency of the dual-comb pulse sequence is locked to a standard frequency defined by a quantum frequency reference. Then, the composition parameters of the energy source to be measured are determined based on the Raman scattered light, and the refractive index parameters are determined based on the transmitted interference light. Subsequently, the density parameters and / or flux parameters of the energy source to be measured are determined based on the composition parameters and refractive index parameters.

[0034] As can be seen from the above, the energy parameter determination method provided in this application obtains the Raman scattered light and transmitted interference light generated by the interaction between the dual optical comb pulse sequence locked by the repetition frequency difference and the energy to be measured, and uses the frequency of the dual optical comb pulse sequence locked to the standard frequency defined by the quantum frequency reference, so that the entire measurement process can be directly traced to the quantum frequency reference, thereby avoiding the error accumulation caused by the step-by-step transmission in the traditional four-level value transfer chain, and also eliminating the need to disassemble the equipment and send it to a legal verification institution for offline verification, thus realizing real-time on-site measurement.

[0035] Secondly, the component parameters are determined based on the Raman scattering light generated by the interaction between the same set of dual-comb pulse sequences and the energy to be measured, and the refractive index parameters are determined based on the transmitted interference light. This achieves the synchronous acquisition of multiple parameters based on the same light source, solving the problems of poor parameter coordination and susceptibility to interference caused by the use of a single sensor for separate measurements in traditional technologies.

[0036] Furthermore, by combining component parameters with refractive index parameters to determine the density and / or flow parameters of the energy to be measured, the measurement accuracy under complex operating conditions (such as gas fluctuations, temperature and pressure changes) is further improved, thereby effectively overcoming technical problems such as excessively long value transfer chains, low accuracy of multi-parameter collaborative measurement, poor adaptability to complex operating conditions, and insufficient traceability.

[0037] The implementation environment for the above-mentioned energy parameter determination method can be the energy parameter determination system provided in the embodiments of this application.

[0038] Figure 1 This is a schematic diagram of an energy parameter determination system provided in an embodiment of this application. Figure 1 As shown, the energy parameter determination system includes: a quantum light source module, a measurement chamber, a parameter detection module, and an energy parameter determination module.

[0039] The quantum light source module is used to generate a dual-comb pulse sequence with frequency repetition difference locked, and the frequency of the dual-comb pulse sequence is locked to the standard frequency defined by the quantum frequency reference.

[0040] Optionally, the quantum light source module includes: a dual-mode-locked fiber laser, a pump source, a wavelength division multiplexer, an environmental interference isolation unit, and a repetition rate difference locking closed loop.

[0041] A dual-mode-locked fiber laser is used to generate dual-comb pulse sequences. A dual-mode-locked fiber laser comprises two linear resonant cavities, and the difference in gain fiber length between the two linear resonant cavities is less than a preset value.

[0042] In other words, the dual-mode-locked fiber laser uses two independent linear resonant cavities, each with a gain fiber length of less than 10 cm, and the difference in gain fiber length between the two cavities is less than 10 cm (e.g., approximately 10 micrometers). This laser is used to generate gigahertz-level high-repetition-rate pulse sequences with a repetition rate difference greater than 100 kHz, i.e., dual-comb pulse sequences.

[0043] The pump source is used to power the two linear resonant cavities.

[0044] In other words, a semiconductor laser is selected as the pump source to provide pump energy for the two linear resonant cavities.

[0045] A wavelength division multiplexer is used to synchronously distribute the optical energy of a pump source to two linear resonant cavities.

[0046] In other words, the wavelength division multiplexer synchronously and uniformly distributes the optical energy output from the pump source to the two linear resonant cavities, reducing the difference in pump noise.

[0047] An environmental interference isolation unit is used to encapsulate a dual-mode-locked fiber laser in a temperature-controlled vibration isolation cavity.

[0048] In other words, the environmental interference isolation unit encapsulates the dual-mode-locked fiber laser entirely within a constant-temperature vibration isolation cavity, ensuring that the temperature, vibration, and other environmental conditions of the two resonant cavities are highly consistent, thereby reducing the impact of environmental disturbances on the stability of the laser.

[0049] The repetition frequency difference locking closed loop, including a piezoelectric actuator and a proportional-integral-derivative controller, is used to lock the repetition frequency difference between two linear resonant cavities.

[0050] In other words, the frequency repetition difference locking closed loop includes a piezoelectric actuator and a proportional-integral-derivative (PID) controller. The piezoelectric actuator is mounted on the reflector or fiber stretcher of the resonant cavity. The cavity length is adjusted in real time by the PID controller to lock the difference in repetition frequency between the two resonant cavities at a preset value (e.g., greater than 100 kHz), thereby achieving long-term stable output of the pulse sequence and improving phase noise suppression capability by 80%.

[0051] The quantum light source module first excites a dual-mode-locked fiber laser using a pump source and a wavelength division multiplexer, causing it to output two ultrashort optical pulse sequences with slightly different repetition frequencies (i.e., a dual optical comb). The repetition frequency difference between the two optical combs is precisely locked through a repetition frequency difference locking closed loop, while an environmental interference isolation unit ensures long-term stability. Furthermore, the module locks the frequency of the dual optical comb pulse sequence to a quantum frequency reference (e.g., through a quantum reference cavity), enabling the frequency tracing uncertainty of the entire system to reach 10-1. - ¹ 8 This provides a quantum-level time-frequency reference for subsequent measurements.

[0052] The measurement chamber is used to contain the energy to be measured and to receive the dual-comb pulse sequence, so that the dual-comb pulse sequence interacts with the energy to be measured.

[0053] The measurement chamber is a sealed optical container made of corrosion-resistant materials (such as silicon carbide or stainless steel), and is equipped with internal baffles to ensure uniform distribution of the energy source to be measured (natural gas, hydrogen, etc.). Optical windows are located on both sides or the same side of the chamber for the incident and extrinsic emission of the dual-comb pulse sequence. The chamber is also equipped with mounting interfaces for temperature and pressure sensors.

[0054] The energy to be measured enters the measurement chamber through the inlet, where a baffle ensures uniform and stable flow. A dual-comb pulse sequence, after collimation, passes through an optical window into the chamber and interacts with the molecules of the energy to be measured. Some light is absorbed and scattered by the molecules (producing Raman scattering), while some light is directly transmitted (carrying refractive index information). The measurement chamber provides a controlled and stable physical environment for the interaction between light and matter.

[0055] The parameter detection module is used to collect Raman scattered light and transmitted interference light generated by the interaction from the measurement chamber.

[0056] Optionally, the parameter detection module includes: a Raman probe, a photoelectric detection unit, an optical isolator, and a collimator.

[0057] A Raman probe, integrating an excitation fiber and a collection fiber, is used to focus a dual-comb pulse sequence onto the energy to be measured within the measurement chamber.

[0058] In other words, the Raman probe integrates an excitation fiber and a collection fiber, using a coaxial design. The excitation fiber transmits and focuses a dual-comb pulse sequence onto the energy to be measured within the measurement chamber; the collection fiber collects backscattered or forward scattered Raman light.

[0059] The photoelectric detection unit includes a first photodetector and a second photodetector. The first photodetector receives Raman scattered light through a collecting optical fiber and outputs component characteristic spectral signals based on the spectrometer and charge-coupled device array. The second photodetector receives transmitted interference light.

[0060] In other words, the first photodetector (such as a CCD array or photomultiplier tube) works with the spectrometer (grating spectrometer) to receive Raman scattered light and output component characteristic spectral signals (wavelength-intensity distribution).

[0061] The second photodetector (such as a high-speed PIN photodiode) receives the transmitted interference light and converts it into an electrical signal. This signal is then split by an optocoupler, with one path sent to the next stage for frequency repetition rate difference locking feedback, and the other path used for interference signal detection.

[0062] Optical isolators are used to block reflected light transmitted in the opposite direction.

[0063] In other words, an optical isolator is placed in the optical path to block reflected light transmitted in the opposite direction (such as echoes from the cavity window or fiber end face) to prevent reflected light from damaging the light source or causing interference.

[0064] The collimator is used to collimate the double-comb pulse sequence incident on the measurement chamber and / or the Raman scattered light or transmitted interference light emitted from the measurement chamber.

[0065] In other words, the collimator collimates the double-comb pulse sequence incident on the measurement chamber, making it parallel light; at the same time, it collimates the Raman scattered light or transmitted interference light emitted from the measurement chamber, improving the coupling efficiency.

[0066] A dual-comb pulse sequence, after collimation, is incident into the measurement chamber and interacts with the energy to be measured. Raman scattered light is collected by an optical fiber and transmitted to the spectrometer and CCD, forming component characteristic spectra; transmitted interference light is received by a high-speed photodetector and converted into electrical signals. An optical isolator prevents reflected light interference, and a collimator ensures efficient optical transmission. The parameter detection module converts the raw optical signal into the electrical signal form required for subsequent processing.

[0067] The energy parameter determination module is used to determine the composition parameters of the energy to be measured based on Raman scattered light, determine the refractive index parameters of the energy to be measured based on transmitted interference light, and determine the density parameters and / or flow rate parameters of the energy to be measured based on the composition parameters and refractive index parameters.

[0068] Optionally, the energy parameter determination module includes: a high-speed oscilloscope, a quantum algorithm chip (such as an FPGA or DSP), a density calculation unit, a flow calculation unit, and an intelligent control unit.

[0069] A high-speed oscilloscope is used to acquire the component characteristic spectral signals and transmitted interference light output by the parameter detection module.

[0070] In other words, the high-speed oscilloscope acquires the component characteristic spectral signals (analog / digital) and transmitted interference light signals (electrical signals) output by the parameter detection module, performs analog-to-digital conversion, and records the waveforms.

[0071] A quantum algorithm chip is used to perform Fourier transform on transmitted interference light to extract optical path difference information, and to determine the refractive index parameter of the energy to be measured based on the optical path difference information.

[0072] The quantum algorithm chip is also used to perform spectral analysis on the characteristic spectral signals of the components, obtaining the characteristic peak intensities and wavelengths. These values ​​are then matched with a pre-stored spectral database to obtain the component parameters of the energy source to be measured. The spectral database includes the correspondence between characteristic peak intensities, wavelengths, and component parameters.

[0073] In other words, the quantum algorithm chip can perform Fourier transform on transmitted interference light to extract optical path difference information, and then calculate the refractive index parameters of the energy to be measured. It can also perform spectral analysis on the component characteristic spectral signals (obtaining frequency domain spectra after Fourier transform), extract characteristic peak intensities and wavelengths, and match them with a pre-stored spectral database (containing the correspondence between characteristic peak intensities, wavelengths and component parameters) to obtain the component parameters of the energy to be measured (e.g., the mole fraction of each component).

[0074] The density calculation unit is used to perform weighted calculations based on the mole fraction of each component to obtain the standard density of the energy to be tested, and to compensate and correct the standard density based on the obtained temperature and pressure parameters of the energy to be tested to obtain the density parameters of the energy to be tested.

[0075] The flow calculation unit is used to obtain the flow field velocity distribution of the energy to be measured, and to determine the volumetric flow rate and / or mass flow rate of the energy to be measured as flow parameters based on the density parameter and the flow field velocity distribution.

[0076] The intelligent control unit includes a microprocessor, a sensor group (temperature sensor, pressure sensor), a calibration unit, and a communication interface.

[0077] The sensor array is used to collect and measure the temperature and pressure parameters of the energy source to be measured in the measuring chamber in real time.

[0078] The calibration unit has a built-in quantum reference cavity (such as Fabry). The Pero super-stable cavity is used to lock the frequency of a dual-comb pulse sequence to a standard frequency defined by a quantum frequency reference.

[0079] The microprocessor is used to determine the fault detection result of the energy source under test based on its energy parameters.

[0080] Optionally, the energy parameters include at least one of the following: composition parameters, refractive index parameters, density parameters, and flow rate parameters.

[0081] In other words, the microprocessor integrates fault diagnosis algorithms (such as anomaly detection based on neural networks) to determine whether there are any anomalies in the energy to be tested (such as abrupt changes in composition or excessive flow) based on the determined energy parameters (composition, refractive index, density, flow rate, etc.) and generates fault detection results.

[0082] The communication interface is used to output the energy parameters of the energy source under test and / or the fault detection results.

[0083] Optionally, the communication interface supports 4~20 mA analog signals, frequency pulse output, and RS485 / HART protocols for uploading energy parameters and / or fault detection results to a cloud monitoring platform or local control system.

[0084] After the high-speed oscilloscope acquires two optical signals, the quantum algorithm chip processes them separately using Fourier transform: extracting the optical path difference from the transmitted interference light to calculate the refractive index; and extracting characteristic peaks from the Raman spectrum and then matching them with a database to calculate the mole fraction of the components.

[0085] The density calculation unit uses mole fraction weighting to obtain the standard density, and then performs temperature and pressure compensation to obtain the actual density. The flow calculation unit combines the flow velocity distribution and density to obtain the volumetric / mass flow rate.

[0086] The intelligent control unit collects environmental parameters in real time, ensures the long-term stability of the frequency reference through a quantum reference cavity, and outputs the results through a communication interface.

[0087] The microprocessor uses fault diagnosis algorithms to determine whether there are any abnormalities in the energy under test (such as sudden changes in composition or excessive flow), generates fault detection results, and enhances the intelligence level of the energy parameter determination system.

[0088] Optional, Figure 2 The circuit diagram of the energy parameter determination module described above is shown. (For example...) Figure 2 As shown, the energy parameter determination module includes: an optical-to-optical conversion circuit, a Fourier transform processor, and a frequency repetition rate difference lock-in control circuit.

[0089] Photoelectric conversion circuits are used to convert optical signals (such as Raman scattered light or transmitted interference light) output by photodetectors into electrical signals, or to convert / condition between different optical signals.

[0090] Among them, optical reception refers to receiving optical signals (such as transmitted interference light or Raman scattered light) from the parameter detection module, which usually includes a photodetector.

[0091] Filtering refers to the process of filtering a signal to remove noise or unwanted frequency components, thereby improving signal quality.

[0092] The Fourier transform processor performs a Fourier transform on the converted electrical signal (such as a time-domain interferogram or a spectral digital signal) to transform it from the time domain to the frequency domain in order to extract information such as characteristic peak intensity, wavelength or optical path difference.

[0093] Among them, crystal oscillator refers to a reference clock frequency that provides high stability and serves as the reference source for phase-locked loop.

[0094] The frequency repetition difference locking control circuit is used to realize the frequency repetition difference locking control of the dual optical comb pulse sequence, and stabilizes the repetition frequency difference between the two resonant cavities through closed-loop feedback.

[0095] Among them, a phase-locked loop (PLL) is used in conjunction with a voltage-controlled oscillator (VCO) to achieve frequency locking and synchronization, precisely locking the output frequency to the reference frequency.

[0096] A voltage-controlled oscillator (VCO) is an oscillator whose output frequency is regulated by a control voltage. In a phase-locked loop (PLL), it is used to generate a tunable local oscillation signal.

[0097] A feedback oscillator is an oscillator used to generate inverted or compensated signals, or an oscillating element related to feedback control.

[0098] Feedback voltage refers to the feedback control voltage, which is used to adjust the output of a voltage-controlled oscillator or other controllable components to achieve closed-loop locking.

[0099] Overall, Figure 2The circuit shown implements optical signal reception and conversion, Fourier transform processing, and frequency repetition rate difference locking control. The crystal oscillator, phase-locked loop, voltage-controlled oscillator, and feedback voltage form a closed-loop frequency locking circuit, while filtering and optical-to-optical conversion circuits ensure signal quality and processing accuracy. This circuit can serve as the specific hardware implementation of the frequency repetition rate difference locking closed loop in the quantum light source module and the signal processing unit in the energy parameter determination module.

[0100] Optionally, the energy parameter determination module described above can be deployed on an energy parameter determination device. This energy parameter determination device can be a server, a terminal, or other types of electronic equipment; this embodiment does not limit the specific device.

[0101] Optionally, the aforementioned terminal may be a device that provides voice and / or data connectivity to a user, a handheld device with wireless connectivity, or other processing device connected to a wireless modem. The wireless terminal may communicate with one or more core networks via a radio access network (RAN). The wireless terminal may be a mobile terminal, such as a mobile phone (or "cellular" phone) and a computer with a mobile terminal, or a portable, pocket-sized, handheld, computer-embedded, or vehicle-mounted mobile device that exchanges voice and / or data with the radio access network, such as a mobile phone, tablet computer, laptop computer, netbook, or personal digital assistant (PDA).

[0102] Optionally, the server mentioned above can be one of the servers in a server cluster (composed of multiple servers), a chip in the server, a system-on-a-chip in the server, or a virtual machine (VM) deployed on a physical machine. This application embodiment does not limit this.

[0103] The above-mentioned energy parameter determination system is implemented as follows: the quantum light source module generates a dual-comb pulse sequence with repetition rate difference locked and frequency locked to the quantum frequency reference.

[0104] The dual-comb pulse sequence is collimated and then enters the measurement chamber, where it undergoes Raman scattering and transmission interference with the energy source to be measured.

[0105] The parameter detection module collects Raman scattered light (via spectrometer + CCD) and transmitted interference light (via photodetector), and outputs component characteristic spectral signals and transmitted interference photoelectric signals.

[0106] The quantum algorithm chip calculates the refractive index from transmitted interference light and the mole fraction of components from Raman spectroscopy.

[0107] The density calculation unit uses component mole fractions and temperature and pressure data to calculate the actual density.

[0108] The flow calculation unit uses density and flow field velocity distribution to calculate volumetric / mass flow rate.

[0109] The intelligent control unit periodically calibrates the light source frequency through the quantum reference cavity and outputs the final energy parameters (composition, refractive index, density, flux) and fault detection results through the communication interface.

[0110] It should be noted that the system architecture and application scenarios described in the embodiments of this application are for the purpose of more clearly illustrating the technical solutions of the embodiments of this application, and do not constitute a limitation on the technical solutions provided in the embodiments of this application. As those skilled in the art will know, with the evolution of system architecture and the emergence of new business scenarios, the technical solutions provided in the embodiments of this application are also applicable to similar technical problems.

[0111] The method for determining energy parameters provided in the embodiments of this application will be described in detail below with reference to the accompanying drawings.

[0112] like Figure 3 As shown in the embodiments of this application, a method for determining energy parameters includes: S301. Obtain the Raman scattered light and transmitted interference light generated by the interaction between the frequency repetition difference locked dual-comb pulse sequence and the energy to be measured.

[0113] The frequency of the dual-comb pulse sequence is locked to the standard frequency defined by the quantum frequency reference.

[0114] In one alternative implementation, the aforementioned frequency repetition difference locked dual-comb pulse sequence can be generated in the following manner: A high-repetition-rate dual-fiber optical comb system (also known as a quantum light source module) based on repetition rate difference locking is adopted. This system includes a dual-mode-locked fiber laser, a pump source, a wavelength division multiplexer, and an environmental interference isolation unit.

[0115] The dual-mode-locked fiber laser employs two independent linear resonant cavities, each with a gain fiber length of less than 10 cm and a gain fiber length difference of approximately 10 micrometers between the two cavities, to generate a gigahertz-level high-repetition-rate pulse sequence with a repetition rate difference greater than 100 kHz. A semiconductor laser is used as the pump source, and a wavelength division multiplexer synchronously powers the two linear resonant cavities to reduce pump noise differences. An environmental interference isolation unit encapsulates the laser in a temperature-controlled, vibration-isolated cavity, ensuring environmental consistency between the two linear resonant cavities.

[0116] Based on this, a piezoelectric actuator and a proportional-integral-derivative controller are combined to form a frequency repetition rate difference locked closed loop, which can realize long-term stable output of pulse sequence and improve phase noise suppression capability by 80%.

[0117] In order to lock the frequency of the dual-comb pulse sequence to the standard frequency defined by the quantum frequency reference, a calibration unit (also known as a quantum frequency locking unit) with a built-in quantum reference cavity can periodically output a standard optical signal. Through feedback control, the frequency of the dual-comb pulse sequence can be kept consistent with the quantum frequency reference, thereby achieving direct quantum-level traceability of the magnitude.

[0118] After obtaining a stable dual-comb pulse sequence, the pulse sequence is incident into a measurement chamber containing the energy to be measured. The dual-comb pulse sequence interacts with the energy to be measured, generating Raman scattered light carrying composition information and transmitted interference light carrying refractive index information.

[0119] Subsequently, these two optical signals are acquired through the parameter detection module. The parameter detection module (also known as the multi-parameter detection module) consists of a Raman probe, a photoelectric detection unit, and an auxiliary optical system.

[0120] The Raman probe integrates an excitation fiber and a collection fiber, and adopts a coaxial design to focus the dual-comb pulse sequence onto the energy to be measured in the measurement chamber and collect the generated Raman scattered light.

[0121] The photoelectric detection unit includes two high-sensitivity photodetectors: the first photodetector is used to receive Raman scattered light, which is then detected by a spectrometer grating and charge-coupled device (CCD) array to output component characteristic spectral signals; the second photodetector is used to receive transmitted interference light, which is split by an optical coupler, with one path used for frequency repetition difference locking feedback and the other path used for interference signal detection, so as to realize the acquisition of density and flow field information.

[0122] The auxiliary optical system includes optical isolators and collimators, which are used to effectively avoid optical signal reflection interference and ensure detection stability.

[0123] The parameter detection module described above can be used to obtain component characteristic spectral signals carrying component information and transmitted interference light signals carrying refractive index and flow field information, respectively, for subsequent processing.

[0124] S302. Determine the composition parameters of the energy to be tested based on the Raman scattered light, and determine the refractive index parameters of the energy to be tested based on the transmitted interference light.

[0125] Specifically, for Raman scattered light, spectral analysis can be performed using a spectrometer and a charge-coupled device array to obtain the characteristic peak intensities and wavelengths of the Raman scattered light. Then, the obtained characteristic peak intensities and wavelengths are matched with a pre-stored spectral database containing the correspondence between characteristic peak intensities, wavelengths, and component parameters, thereby determining the component parameters of the energy to be measured (e.g., the mole fraction of each component).

[0126] For transmitted interference light, a Fourier transform can be performed to extract the optical path difference information. Based on the physical relationship between the optical path difference information and the refractive index, the refractive index parameter of the energy under test under the current operating conditions can be calculated.

[0127] S303. Determine the density and / or flow rate parameters of the energy to be measured based on the composition parameters and refractive index parameters.

[0128] Specifically, when determining the density parameter, the mole fraction of each component in the component parameter can be used for weighted calculation to obtain the standard density of the energy under standard conditions. Then, the standard density is compensated and corrected by combining the temperature and pressure parameters obtained in real time, so as to obtain the density parameter under actual working conditions.

[0129] When determining flow parameters, the velocity distribution within the measurement chamber can be obtained (e.g., through particle imaging velocimetry or dual-comb flow field detection). Then, based on the determined density parameters and this velocity distribution, the velocity... The volumetric flow rate and / or mass flow rate of the energy to be measured are calculated using the area method and used as flow parameters.

[0130] In some embodiments, in S302 above, determining the composition parameters of the energy to be measured based on the Raman scattered light includes: The Raman scattered light is subjected to spectral analysis to obtain the characteristic peak intensity and wavelength. The characteristic peak intensity and wavelength are then matched with a pre-stored spectral database to obtain the component parameters of the energy to be measured.

[0131] Specifically, a high-speed oscilloscope can be used to acquire the time-domain interferogram and spectral digital signal output by the photodetector. The time-domain signal can be converted into a frequency-domain spectrum through Fourier transform, and then combined with a spectral database to achieve qualitative identification and quantitative analysis of the energy components to be measured.

[0132] The spectral database includes the correspondence between characteristic peak intensities, wavelengths, and component parameters.

[0133] In some embodiments, in S302 above, determining the refractive index parameter of the energy to be measured based on the transmitted interference light includes: The transmitted interference light is subjected to Fourier transform to extract the optical path difference information, and the refractive index parameter of the energy to be measured is determined based on the optical path difference information.

[0134] In practice, the time-domain signal of the transmitted interference light can be acquired by a high-speed oscilloscope, and the optical path difference distribution can be obtained after Fourier transform. Then, the refractive index parameter of the energy under test under the current operating conditions can be calculated based on the physical relationship between the optical path difference and the refractive index.

[0135] In some embodiments, the composition parameters include the mole fraction of each component. In S303 above, determining the density parameter of the energy to be measured based on the composition parameters and the refractive index parameter includes: The standard density of the energy to be tested is obtained by weighting the mole fractions of each component. The temperature and pressure parameters of the energy to be tested are then acquired, and the standard density is compensated and corrected based on these parameters to obtain the density parameter of the energy to be tested.

[0136] Specifically, the density of the mixed gas can be calculated by weighting the mole fraction of the components based on the correlation model between Raman shift and molecular polarizability, and the influence of environmental factors such as temperature and pressure on the density can be eliminated by using an error compensation algorithm, thereby obtaining high-precision density parameters under actual working conditions.

[0137] In some embodiments, the above-mentioned flow parameters are determined in the following manner: Obtain the flow field velocity distribution of the energy to be measured, and determine the volumetric flow rate and / or mass flow rate of the energy to be measured based on the density parameter and the flow field velocity distribution, as the flow rate parameter.

[0138] Specifically, the quantum-corrected velocity-area method can be used in conjunction with particle image velocimetry (PIV) flow field detection technology to obtain the cross-sectional velocity distribution in the measurement chamber, so as to correct the error caused by the traditional average velocity assumption, and then accurately calculate the volumetric flow rate (the velocity distribution integrated over the cross section) and the mass flow rate (volume flow rate multiplied by the density parameter).

[0139] In summary, the energy parameter determination method provided in this application integrates laser Raman spectroscopy with dual-comb technology to construct a novel metrology system that enables direct quantum-level measurement to real-time on-site calibration. This system aims to solve the problem of error accumulation caused by excessively long traditional measurement value transmission chains and achieve simultaneous high-precision measurement of multiple parameters such as composition, density, and flow rate of the energy to be measured (e.g., natural gas, hydrogen).

[0140] Specifically, the energy parameter determination method provided in this application aims to: shorten the value transmission path and realize the direct transmission between quantum frequency reference and on-site metering; develop multi-parameter collaborative measurement technology to integrate component identification and flow metering; improve adaptability to complex operating conditions and meet the needs of scenarios such as high pressure, low temperature, and multi-component fluctuation; support real-time traceability and remote monitoring, and assist in intelligent energy management.

[0141] The energy parameter determination method provided in this application embodiment can achieve a component measurement resolution of 0.01%, a density measurement accuracy better than ±0.05%, and a volumetric flow rate error controlled within ±0.2%; the measurement standard uncertainty is as low as 10. - ¹ 8The method enables real-time on-site self-calibration without offline verification, reducing annual maintenance costs by more than 60%. It completes full component analysis and density and flow calculation within 60 seconds. The device used in this method can operate stably in the range of -196℃ to 150℃ and 0.1MPa to 10MPa, making it suitable for complex scenarios such as LNG receiving stations and long-distance pipelines.

[0142] The scope of application of the embodiments of this application covers metering scenarios across the entire energy industry chain, including upstream gas field development, midstream long-distance pipelines, and downstream industrial and residential gas.

[0143] Specifically, in the upstream gas field development sector, it is suitable for single-well wet gas metering and gas-liquid two-phase metering of intermittent liquefied gas wells, accurately measuring the composition and flow rate of liquefied natural gas; in the midstream long-distance transmission and storage sector, it is compatible with high-pressure, large-diameter long-distance pipelines and liquefied natural gas receiving stations, and can operate stably within a pressure range of 0.1 MPa to 10 MPa and a temperature range of -196℃ to 150℃; in the downstream industrial application sector, it covers industrial gas metering in high-energy-consuming industries such as petrochemicals, steel smelting, and ceramics and glass, and is especially suitable for high-precision component-flow rate co-measurement of gas used for chemical raw materials; in the urban gas and transportation sector, it is suitable for intelligent gas metering in urban residential and commercial buildings, as well as vehicle-mounted or ship-mounted metering scenarios for liquefied natural gas heavy-duty truck refueling stations and ship liquefied natural gas power conversion.

[0144] The application prospects of the embodiments in this application are extremely broad, conforming to the dual trends of global industrialization of quantum precision measurement and intelligent transformation of the energy industry. Quantum technology has been included in relevant medium- and long-term development plans, and related information technology standards construction action plans have also clearly accelerated the development of quantum measurement technology standards, providing policy guarantees for the industrialization of the technology.

[0145] Meanwhile, under the goals of carbon peaking and carbon neutrality, the replacement of traditional industries with clean energy is accelerating, and the consumption of natural gas in industries such as metallurgy and chemicals is increasing year by year. This has led to a surge in demand for the calibration of high-pressure, large-diameter flow meters, providing a broad market space for the embodiments of this application. In terms of industrial upgrading, the embodiments of this application can promote the energy metering industry's transition from classical measurement to quantum measurement, driving the development of upstream and downstream industries such as quantum light sources and high-precision photoelectric detection, forming a new technology industrial chain. Furthermore, the technical principles of the embodiments of this application can be extended to the metering of other gases such as hydrogen and coalbed methane, providing core technical support for the future construction of multi-energy integrated metering systems.

[0146] The foregoing mainly describes the solutions provided by the embodiments of this application from a methodological perspective. To achieve the above functions, it includes corresponding hardware structures and / or software modules for executing each function. Those skilled in the art should readily recognize that, based on the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein, this application can be implemented in hardware or a combination of hardware and computer software. Whether a function is executed in hardware or by computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0147] This application embodiment can divide the energy parameter determination device into functional modules according to the above method example. For example, each function can be divided into its own functional module, or two or more functions can be integrated into one processing module. The integrated module can be implemented in hardware or as a software functional module. Optionally, the module division in this application embodiment is illustrative and only represents one logical functional division; other division methods may be used in actual implementation.

[0148] Figure 4 This is a schematic diagram of an energy parameter determination device provided in an embodiment of this application. Figure 4 As shown, the energy parameter determination device includes a communication module 401 and a processing module 402.

[0149] Communication module 401 is used to acquire Raman scattered light and transmitted interference light generated by the interaction between the frequency difference locked dual-comb pulse sequence and the energy to be measured; the frequency of the dual-comb pulse sequence is locked to the standard frequency defined by the quantum frequency reference; Processing module 402 is used to determine the composition parameters of the energy to be measured based on Raman scattered light, and to determine the refractive index parameters of the energy to be measured based on transmitted interference light. The processing module 402 is also used to determine the density parameter and / or flow rate parameter of the energy to be measured based on the composition parameter and refractive index parameter.

[0150] Optionally, processing module 402 is specifically used for: The Raman scattered light was subjected to spectral analysis to obtain the characteristic peak intensity and wavelength of the Raman scattered light; The characteristic peak intensity and wavelength are matched with a pre-stored spectral database to obtain the component parameters of the energy to be measured; the spectral database includes the correspondence between characteristic peak intensity, wavelength and component parameters.

[0151] Optionally, processing module 402 is specifically used for: Perform a Fourier transform on the transmitted interference light to extract the optical path difference information; Based on the optical path difference information, the refractive index parameters of the energy to be measured are determined.

[0152] Optionally, the component parameters include the mole fraction of each component; the processing module 402 is specifically used for: The standard density of the energy to be measured is obtained by weighting the mole fractions of each component. Obtain the temperature and pressure parameters of the energy source to be measured; The density parameters of the energy to be measured are obtained by compensating and correcting the standard density based on temperature and pressure parameters.

[0153] Optionally, the flow parameters are determined in the following ways: Obtain the flow field velocity distribution of the energy to be measured; Based on the density parameter and the flow field velocity distribution, the volumetric flow rate and / or mass flow rate of the energy to be measured are determined as flow parameters.

[0154] The energy parameter determination equipment in the energy parameter determination system includes, for example: Figure 5 The included components. The following are examples... Figure 5 Taking the energy parameter determination device shown as an example, the hardware structure of the energy parameter determination device is introduced.

[0155] Figure 5 This is a schematic diagram of the hardware structure of an energy parameter determination device provided in an embodiment of this application. Figure 5 As shown, the energy parameter determination device includes: a processor 501, a memory 502, a communication interface 503, and a bus 504. The processor 501, the memory 502, and the communication interface 503 can be connected via the bus 504.

[0156] Processor 501 is the control center of the energy parameter determination device. It can be a single processor or a collective term for multiple processing elements. For example, processor 501 can be a general-purpose central processing unit (CPU) or other general-purpose processors. The general-purpose processor can be a microprocessor or any conventional processor.

[0157] As one embodiment, processor 501 may include one or more CPUs, for example Figure 5 CPU0 and CPU1 are shown in the diagram.

[0158] The memory 502 may be a read-only memory (ROM) or other type of static storage device capable of storing static information and instructions, random access memory (RAM) or other type of dynamic storage device capable of storing information and instructions, or electrically erasable programmable read-only memory (EEPROM), disk storage medium or other magnetic storage device, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but is not limited thereto.

[0159] In one possible implementation, the memory 502 can exist independently of the processor 501. The memory 502 can be connected to the processor 501 via a bus 504 and is used to store instructions or program code. When the processor 501 calls and executes the instructions or program code stored in the memory 502, it can implement the energy parameter determination method provided in the following embodiments of this application.

[0160] In this embodiment, the software programs stored in memory 502 differ for the energy parameter determination device, resulting in different functions implemented by the device. The functions performed by each device will be described in conjunction with the following flowchart.

[0161] In another possible implementation, the memory 502 can also be integrated with the processor 501.

[0162] The communication interface 503 is used for the energy parameter determining device to connect with other devices via a communication network, such as Ethernet, wireless access network, or wireless local area network (WLAN). The communication interface 503 may include a receiving unit for receiving data and a transmitting unit for transmitting data.

[0163] Bus 504 can be an industry standard architecture (ISA) bus, a peripheral component interconnect (PCI) bus, or an extended industry standard architecture (EISA) bus. This bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 5 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0164] It should be pointed out that, Figure 5 The structure shown does not constitute a limitation on the energy parameter determination device, except Figure 5 In addition to the components shown, the energy parameter determining device may include more or fewer components than illustrated, or combine certain components, or have different component arrangements.

[0165] This application also provides a computer-readable storage medium, which includes computer-executable instructions that, when executed on a computer, cause the computer to perform the energy parameter determination method provided in the above embodiments.

[0166] This application also provides a computer program that can be directly loaded into a memory and contains software code. After being loaded and executed by a computer, the computer program can implement the energy parameter determination method provided in the above embodiments.

[0167] Those skilled in the art will recognize that, in one or more of the examples above, the functions described in this application can be implemented using hardware, software, firmware, or any combination thereof. When implemented in software, these functions can be stored in a computer-readable medium or transmitted as one or more instructions or code on a computer-readable medium. Computer-readable media include computer-readable storage media and communication media, wherein communication media include any medium that facilitates the transmission of a computer program from one place to another. Storage media can be any available medium accessible to a general-purpose or special-purpose computer.

[0168] Through the above description of the embodiments, those skilled in the art can clearly understand that, for the sake of convenience and brevity, only the division of the above functional modules is used as an example. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above.

[0169] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of modules or units is only a logical functional division, and other division methods may exist in actual implementation. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed. Furthermore, the shown or discussed mutual couplings, direct couplings, or communication connections may be through some interfaces; indirect couplings or communication connections between devices or units may be electrical, mechanical, or other forms. Units described as separate components may or may not be physically separate; components shown as units may be one physical unit or multiple physical units, i.e., they may be located in one place or distributed in multiple different places. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0170] Furthermore, the functional units in the various embodiments of this application can be integrated into a single defect detection unit, or each unit can exist physically separately, or two or more units can be integrated into a single unit. The integrated unit can be implemented in hardware or as a software functional unit. If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiments of this application, in essence, or the part that contributes to general technology, or all or part of the technical solution, can be embodied in the form of a software product. This software product is stored in a storage medium and includes several instructions to cause a device (which may be a microcontroller, chip, etc.) or processor to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, ROM, RAM, magnetic disks, or optical disks.

[0171] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for determining energy parameters, characterized in that, include: Acquire Raman scattered light and transmitted interference light generated by the interaction between the frequency repetition rate difference locked dual-comb pulse sequence and the energy to be measured; The frequency of the dual-comb pulse sequence is locked to the standard frequency defined by the quantum frequency reference; The composition parameters of the energy to be tested are determined based on the Raman scattered light, and the refractive index parameters of the energy to be tested are determined based on the transmitted interference light. Based on the component parameters and the refractive index parameters, determine the density parameters and / or flow rate parameters of the energy to be measured.

2. The method according to claim 1, characterized in that, The determination of the composition parameters of the energy to be measured based on the Raman scattered light includes: The Raman scattered light was subjected to spectral analysis to obtain the characteristic peak intensity and wavelength of the Raman scattered light; The characteristic peak intensity and wavelength are matched with a pre-stored spectral database to obtain the component parameters of the energy to be measured; the spectral database includes the correspondence between characteristic peak intensity, wavelength and component parameters.

3. The method according to claim 1, characterized in that, The determination of the refractive index parameter of the energy to be measured based on the transmitted interference light includes: Perform a Fourier transform on the transmitted interference light to extract the optical path difference information; Based on the optical path difference information, the refractive index parameter of the energy to be measured is determined.

4. The method according to claim 1, characterized in that, The component parameters include the mole fraction of each component; the density parameter of the energy to be measured is determined based on the component parameters and the refractive index parameter, including: The standard density of the energy to be tested is obtained by weighting the mole fractions of each component. Obtain the temperature and pressure parameters of the energy source to be measured; The standard density is compensated and corrected based on the temperature and pressure parameters to obtain the density parameters of the energy to be tested.

5. The method according to claim 4, characterized in that, The flow parameters are determined in the following way: Obtain the flow field velocity distribution of the energy to be measured; Based on the density parameter and the flow field velocity distribution, the volumetric flow rate and / or mass flow rate of the energy to be measured are determined as the flow rate parameter.

6. An energy parameter determination system, characterized in that, include: A quantum light source module is used to generate a dual-comb pulse sequence with frequency repetition rate difference locked, wherein the frequency of the dual-comb pulse sequence is locked to a standard frequency defined by a quantum frequency reference. A measurement chamber is used to contain the energy to be measured and to receive the dual optical comb pulse sequence, so that the dual optical comb pulse sequence interacts with the energy to be measured; The parameter detection module is used to collect the Raman scattered light and transmitted interference light generated by the interaction from the measurement chamber; An energy parameter determination module is used to determine the composition parameters of the energy to be tested based on the Raman scattered light, determine the refractive index parameters of the energy to be tested based on the transmitted interference light, and determine the density parameters and / or flow rate parameters of the energy to be tested based on the composition parameters and the refractive index parameters.

7. The system according to claim 6, characterized in that, The quantum light source module includes: A dual-mode-locked fiber laser is used to generate the dual-comb pulse sequence; the dual-mode-locked fiber laser includes two linear resonant cavities, and the difference in gain fiber length between the two linear resonant cavities is less than a preset value; A pump source is used to power the two linear resonant cavities. A wavelength division multiplexer is used to synchronously distribute the optical energy of the pump source to the two linear resonant cavities; An environmental interference isolation unit is used to encapsulate the dual-mode-locked fiber laser in a temperature-controlled vibration isolation cavity. The repetition frequency difference locking closed loop includes a piezoelectric actuator and a proportional-integral-derivative controller, used to lock the repetition frequency difference between the two linear resonant cavities.

8. The system according to claim 6, characterized in that, The parameter detection module includes: A Raman probe, integrating an excitation fiber and a collection fiber, is used to focus the dual-comb pulse sequence onto the energy to be measured within the measurement chamber; The photoelectric detection unit includes a first photodetector and a second photodetector; the first photodetector is used to receive the Raman scattered light through the collecting optical fiber and output component characteristic spectral signals according to the spectrometer and charge-coupled device array; the second photodetector is used to receive the transmitted interference light; Optical isolators are used to block reflected light transmitted in the opposite direction; The collimator is used to collimate the dual-comb pulse sequence incident on the measurement chamber and / or the Raman scattered light or the transmitted interference light emitted from the measurement chamber.

9. The system according to claim 6, characterized in that, The energy parameter determination module includes: A high-speed oscilloscope is used to acquire the component characteristic spectral signals and transmitted interference light output by the parameter detection module; A quantum algorithm chip is used to perform Fourier transform on the transmitted interference light to extract optical path difference information, and to determine the refractive index parameter of the energy to be measured based on the optical path difference information. The quantum algorithm chip is also used to perform spectral analysis on the component characteristic spectral signals to obtain characteristic peak intensities and wavelengths, and to match the characteristic peak intensities and wavelengths with a pre-stored spectral database to obtain the component parameters of the energy to be measured; the spectral database includes the correspondence between characteristic peak intensities, wavelengths and component parameters; the component parameters include the mole fraction of each component; The density calculation unit is used to perform weighted calculations based on the mole fraction of each component to obtain the standard density of the energy to be tested, and to compensate and correct the standard density based on the obtained temperature and pressure parameters of the energy to be tested to obtain the density parameters of the energy to be tested. A flow calculation unit is used to acquire the flow field velocity distribution of the energy to be measured, and to determine the volumetric flow rate and / or mass flow rate of the energy to be measured based on the density parameter and the flow field velocity distribution, as the flow parameters. The intelligent control unit includes a microprocessor, a sensor array, a calibration unit, and a communication interface; The sensor group is used to collect the temperature and pressure parameters of the energy to be measured in the measurement chamber in real time. The calibration unit has a built-in quantum reference cavity, which is used to lock the frequency of the dual optical comb pulse sequence to the standard frequency defined by the quantum frequency reference; The microprocessor is used to determine the fault detection result of the energy source under test based on the energy parameters of the energy source under test; The communication interface is used to output the energy parameters of the energy to be tested and / or the fault detection results.

10. The system according to claim 9, characterized in that, The energy parameters include at least one of the following: composition parameters, refractive index parameters, density parameters, and flow rate parameters.

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