298 results about "Spectrum analyzer" patented technology

The invention relates to a wireless communication test method and system based on a portable frequency spectrograph and a medium, and belongs to the technical field of radio frequency spectrum analysis, and the wireless communication test method comprises the steps: collecting electromagnetic signal original data of a target area; constructing a dynamic electromagnetic environment baseline model; performing filtering and background subtraction processing on the original data of the electromagnetic signal; carrying out modulation mode identification, protocol analysis and terminal identification extraction on the preprocessed signal matrix, generating a multi-dimensional feature vector, carrying out convolution similarity matching on the multi-dimensional feature vector and a legal signal feature template, and distributing a threat level label; dynamically reconstructing scanning parameters of the portable spectrum analyzer according to the threat level label, generating an equipment parameter adjustment record and updating the electromagnetic fingerprint database; and generating a spectrum optimization control instruction based on the threat level label and the equipment parameter adjustment record, and issuing the spectrum optimization control instruction to the target base station or the terminal equipment. According to the application, the identification precision of the threat signal and the control closed-loop linkage capability in a complex electromagnetic environment are improved.

The invention discloses an SF6 gas leakage detection method and system based on a photoacoustic spectrum analyzer, and the method comprises the steps: arranging a sampling end to collect an SF6 gas sample, and obtaining stable gas input through constant-current sampling and steady-state pretreatment; steady-state gas is guided into the photoacoustic spectrum analyzer, and resonance frequency stabilization and signal amplification output are achieved through the self-tuning unit; executing double-microphone differential detection and digital filtering processing, and outputting a stable SF6 detection signal with a high signal-to-noise ratio; performing time calibration, abnormity elimination and consistency processing on the detection signal to generate standardized detection data; inputting the standardized data to a Transform model, and performing inversion to generate an SF6 leakage source position and a diffusion path; and displaying an inversion result on a monitoring interface, triggering a sound-light alarm when the inversion result exceeds a limit, and uploading the inversion result to a cloud monitoring platform. According to the invention, the intelligent photoacoustic spectrum system combining photoacoustic-fluid steady-state control and self-tuning detection is constructed, so that high-sensitivity detection and accurate positioning of SF6 gas leakage are realized.

The invention relates to the technical field of boiler combustion control, in particular to a boiler combustion multi-target collaborative optimization control method and system. The method comprises the following steps: firstly, acquiring coal quality parameters in real time through a laser-induced breakdown spectrum analyzer, carrying out qualitative and quantitative analysis on spectral data by utilizing a machine learning algorithm, constructing a boiler combustion digital twinborn model fusing a combustion mechanism model and a data driving model, and predicting combustion characteristics, NOx generation trends and coking risks under different blending schemes; and then, dynamically generating an optimization instruction combination according to a prediction result of the digital twinborn model, establishing a safety interlocking mechanism while executing the optimization instruction, and automatically switching to a manual control mode when detecting that the working condition fluctuates severely or the model prediction deviation exceeds a preset threshold value. According to the method, the problems of coal quality information lag and untimely combustion adjustment caused by traditional manual sampling are effectively solved, and the economical efficiency, the safety and the environmental protection property of boiler operation are improved.

The invention discloses an automatic medicament preparation and dosage control system based on an artificial intelligence technology and a method thereof, relates to the technical field of industrial medicament preparation, and solves the problems that although the flow of medicaments can be controlled to a certain extent in the prior art, most medicaments lack intelligent prediction capability and cannot effectively process complex nonlinear working conditions. Comprising a sensor module, an intelligent controller and an actuator module, the sensor module comprises a spectrum analyzer and a weighing module and is used for monitoring components and weight of a medicament in real time, the intelligent controller processes data of the sensor module and predicts medicament dispensing parameters, the actuator module executes medicament metering, water adding and stirring operations, the sensor module monitors a medicament dispensing result in real time and feeds back the medicament dispensing result, and the intelligent controller corrects errors. Through an integrated high-precision sensor, an advanced intelligent control algorithm and a highly-automatic execution mechanism, comprehensive automatic, precise and intelligent management of the medicament preparation process is realized.

The invention discloses a multispectral intelligent identification system for protein post-translational modification sites, comprising: a spectral data acquisition module for controlling different spectrum analyzers to perform spectrum scanning and analog-to-digital conversion and formatting on protein samples in parallel to obtain multiple protein multispectral original data; the intelligent analysis module is used for carrying out preprocessing and feature extraction on the multi-spectral original data of each protein to obtain a plurality of standardized spectral feature vectors; fusing each standardized spectral feature vector to obtain a multi-dimensional feature vector, inputting the multi-dimensional feature vector into a pre-trained modification site recognition deep learning model, and outputting a recognition result list, the recognition result list comprises the positions of the recognized protein post-translation modification sites in the protein sequence and modification types corresponding to the protein post-translation modification sites; and the result output module is used for visually displaying and exporting the identification result list. According to the method, the accuracy and flux of protein post-translational modification site recognition are remarkably improved.

The invention discloses a circuit board testing and quality screening automation method and system, and aims to solve the problems of low efficiency, insufficient precision and imperfect quality control of traditional circuit board testing. Precise positioning of the circuit board is achieved through the high-precision X / Y / Z three-dimensional positioning mechanical arm, parallel testing is conducted in combination with equipment such as a multi-channel oscilloscope, a signal source and a spectrum analyzer, and the testing efficiency is improved. Temperature and humidity control testing is carried out through the environment simulation bin, the thermal imager scans temperature distribution of the circuit board, a high-precision instrument is used for detecting signal integrity and analyzing electromagnetic compatibility, and the performance of the high-speed circuit board is ensured. A machine learning algorithm predicts potential faults, a test process is optimized, an automatic sorting system is adopted to separate qualified and unqualified circuit boards, and high consistency and high reliability of product quality are ensured. Through the automatic and intelligent testing process, the production efficiency, the quality control capability and the testing precision are greatly improved, and the labor cost and the production risk are reduced.

The present invention relates to the technical field of optical fiber sensing. Disclosed are a multi-core grating sensor and a manufacturing method therefor, and a permafrost monitoring method. The multi-core grating sensor comprises a multi-core optical fiber grating, a strain gauge structure, and a demodulator, and the multi-core optical fiber grating comprises four uniformly and symmetrically distributed single-mode optical fibers, a cladding layer wrapping the four single-mode optical fibers, and a coating layer located between the single-mode optical fibers and the cladding layer; the strain gauge structure is attached to the outside of the multi-core optical fiber grating by means of glue bonding; and the demodulator is used for monitoring the dynamic change of the wavelength of the multi-core optical fiber grating, the demodulator comprises a broadband light source and a spectrum analyzer, an incident end of the multi-core optical fiber grating is connected to the broadband light source by means of the single-mode optical fibers, and an exit end thereof is connected to the spectrum analyzer by means of the single-mode optical fibers. Also disclosed in the present invention is a permafrost monitoring method. By means of comprehensive analysis and demodulation of fiber core wavelength variation amounts of a plurality of single-mode optical fibers on a single multi-core optical fiber grating, simultaneous measurement of multiple parameters is achieved, and the permafrost monitoring accuracy is improved.

A semiconductor etching process end-point detection system includes a sensor configured to measure in real-time electrical properties associated with a semiconductor etching process and to generate raw sensor data, and a computing device configured to receive the raw sensor data. The computing device includes spectrum analyzer circuitry and a memory configured to execute instructions of the spectrum analyzer circuitry via at least one processor. The instructions include obtaining, via the sensor, the raw sensor data; receiving, at the computing device, the raw sensor data; preprocessing the raw sensor data to normalize the raw sensor data to a standard range or distribution; selecting at least one best scoring signal of the normalized sensor data; converting the at least one best scoring signal to a pixel space; and performing an end-point prediction algorithm on the pixel space to predict the end-point of the semiconductor etching process.

The application discloses a handheld spectrum analyzer real-time spectrum signal processing system and processing method, the system comprises a pre-processing unit, an ADC unit, an FPGA and an ARM which are connected in sequence, the FPGA comprises a digital down conversion unit, a multi-rate decimation filter unit, a real-time FFT operation unit and a real-time detection unit which are connected in sequence, and a grid mapping unit, a vector connection unit and a fluorescence statistical unit which are connected with the real-time FFT operation unit in sequence, the ARM comprises a real-time spectrum diagram and waterfall diagram unit which is connected with the real-time detection unit, and a fluorescence display unit which is connected with the fluorescence statistical unit. The application adopts parallel frame real-time detection and vector connection-based digital fluorescence statistical method to compress multiple spectrum data, reduces the requirement of a large number of spectrum data on screen refreshing, adopts vector connection to make fluorescence statistics, so that the measured signal is easier to distinguish, and the application meets the test requirement of a handheld instrument.

The invention relates to the technical field of electroplating process intelligent monitoring, in particular to an electroplating process intelligent monitoring and executing system which comprises an electroplating bath. The sensing unit for monitoring is arranged in the electroplating bath, the sensing unit for monitoring comprises a probe group, an infrared thermal imaging module, a current density detector and a spectrum analyzer, and the probe group comprises a PH value detection probe, an ORP detection probe and a conductivity detection probe. The sensing unit for monitoring is used for collecting the PH value, ORP, conductivity, temperature field distribution, current density and metal ion concentration of the electroplating bath in real time; the calculation unit is in communication connection with the sensing unit for monitoring, and the calculation unit receives a signal of the sensing unit for monitoring and generates a control instruction; and the intelligent feedback unit is in communication connection with the calculation unit, and the intelligent feedback unit receives a signal of the calculation unit and executes the control instruction.

The invention discloses a temperature and hydrogen concentration dual-parameter synchronous detection system and method, and the system comprises an ASE broadband light source, the output of the ASE broadband light source is divided into two paths through a coupler, one path enters a first circulator, the other path enters a second circulator, the output of the first circulator enters a first FBG sensor, the output of the second circulator enters a second FBG sensor, and the output of the first FBG sensor enters a second FBG sensor. The two FBG sensors are arranged in the gas chamber, the first FBG sensor and the second FBG sensor are provided with FBG topological optical fiber structures with different working wavelengths and have temperature sensitivity and gas selective response, and reflected signals of the two FBG sensors are coupled to one path through the dual-channel wavelength division multiplexer and are sent to the spectrum analyzer for wavelength demodulation. The temperature sensitivity and the gas selective response are integrated in the same sensing unit by utilizing the wavelength coding characteristic of the fiber bragg grating, so that precise decoupling and real-time output of double parameters are realized, and the detection efficiency and the data consistency are improved.

The invention discloses an intelligent bone fracture plate integrated with an optical fiber Fabry-Perot sensor and a healing monitoring method. The system comprises an intelligent bone fracture plate module, an in-vitro detection module and a data analysis module. The intelligent bone fracture plate module mainly comprises a bone fracture plate body, a diaphragm type optical fiber Fabry-Perot sensor packaged in a U-shaped groove in the bone fracture plate, and a subcutaneous coupling capsule connected through a leading-out optical fiber. The sensor converts mechanical strain of the bone fracture plate into optical signal change of the Fabry-Perot cavity. The in-vitro detection module is in wireless optical coupling with the subcutaneous coupling capsule through an external read-write equipment head of the in-vitro detection module, probe light is emitted, interference light signals are received and reflected, and the strain of the bone fracture plate is calculated through a spectrum analyzer / detector. And the data analysis module converts the strain data into a key load sharing ratio. By monitoring the trend that the ratio gradually decreases from the postoperation along with time and comparing the trend with a preset clinical threshold value, objective, quantitative, dynamic and non-invasive monitoring of the fracture healing process is achieved.

The invention provides a noise acquisition device and a noise measurement device of an operational amplifier. The noise acquisition device comprises a preset resistor matched with a target operational amplifier, a total noise acquisition circuit and a resistance noise acquisition circuit, the total noise acquisition circuit acquires the total noise of the current working environment and amplifies the total noise so as to output the amplified total noise to external preset measurement equipment; the resistance noise acquisition circuit acquires and amplifies first noise correspondingly generated by the preset resistor in the current working environment and carries out amplification processing so as to output the amplified first noise to preset measurement equipment. The total noise and the first noise are collected, the first noise is used for compensating the total noise to obtain the noise of the target operational amplifier, and the defects that measurement cannot be conducted due to the fact that the bottom noise of the spectrum analyzer is too large and the measurement accuracy is reduced due to the first noise are overcome; low-ripple positive and negative direct-current power supply voltage is provided, and the size is small; the spatial noise coupling interference is reduced, and the accuracy is improved.

The utility model relates to the technical field of signal detection equipment, and provides an antenna signal strength detection tool, which comprises a lower box body and an upper box body, the handle is arranged on the outer surface of the lower box body; the non-slip mats are arranged at the four corners of the surface of one side of the lower box body, and grooves are formed in the symmetrical positions of the surface of one side of the lower box body; the two protruding blocks are arranged at the symmetrical positions of the surface of one side of the upper box body. According to the utility model, when the bidirectional screw rod in the chute is rotated, the movable plate is driven to perform centering motion, so that the protective pad is in contact with the spectrum analyzer to fix the spectrum analyzer, and meanwhile, two ends of the damping spring I and the damper are respectively connected to the surfaces of the lower box body and the bearing plate, so that the bearing plate is damped; and meanwhile, the limiting grooves limit the limiting rods, so that the carrying is convenient, the damage caused by bumping during carrying is prevented, and the service life is prolonged.

The invention provides an optical feedback resonance enhanced forward Brillouin demodulation structure, which comprises a tunable laser, a first polarization controller, an erbium-doped optical fiber amplifier, an optical coupler, an optical isolator, a forward Brillouin gain optical fiber, a band-pass filter and a photoelectric detector, a second polarization controller; and a spectrum analyzer. The first polarization controller is connected with a port a of the optical coupler, a port b of the optical coupler is connected with an input end of the erbium-doped optical fiber amplifier, an output end of the erbium-doped optical fiber amplifier is connected with the optical isolator, the optical isolator is connected with the band-pass filter, the band-pass filter is connected with the forward Brillouin gain optical fiber, and the optical fiber is fed back to a port c of the coupler through the second polarization controller. The output power of the erbium-doped optical fiber amplifier is controlled, and the polarization states of the pump light and the feedback laser are controlled by the first polarization controller and the second polarization controller, so that the forward Brillouin effect is amplified.

A semiconductor etching process end-point detection system includes a sensor configured to measure in real-time electrical properties associated with a semiconductor etching process and to generate raw sensor data, and a computing device configured to receive the raw sensor data. The computing device includes spectrum analyzer circuitry and a memory configured to execute instructions of the spectrum analyzer circuitry via at least one processor. The instructions include obtaining, via the sensor, the raw sensor data; receiving, at the computing device, the raw sensor data; preprocessing the raw sensor data to normalize the raw sensor data to a standard range or distribution; selecting at least one best scoring signal of the normalized sensor data; converting the at least one best scoring signal to a pixel space; and performing an end-point prediction algorithm on the pixel space to predict the end-point of the semiconductor etching process.

The present application relates to a kind of boundary deformation mutual coupling reverberation chamber shielding effectiveness test device and method, it is related to electromagnetic shielding technical field of material, the test device includes flexible shielding cloth reverberation chamber, metal plate, stepper motor group, transmitting antenna, first receiving antenna, second receiving antenna, first spectrum analyzer, second spectrum analyzer and controller;Metal plate is as partition and is divided into transmitting reverberation chamber and receiving reverberation chamber by flexible shielding cloth reverberation chamber, metal plate is closely connected with flexible shielding cloth reverberation chamber around;Test window is set in the center of metal plate, for installing test material;Stepper motor group is used to control the wall deformation of transmitting reverberation chamber and receiving reverberation chamber;First spectrum analyzer is connected with first receiving antenna;Second spectrum analyzer is connected with second receiving antenna;Controller is connected with first spectrum analyzer, second spectrum analyzer and stepper motor group.The present application provides platform and method for accurately testing the shielding effectiveness of material under composite electromagnetic environment.

The invention relates to the technical field of signal testing, and discloses a radio frequency signal testing system and method, and the system comprises a signal source, a frequency spectrograph, and a device to be tested. Wherein the trigger signal input end of the signal source is connected with the trigger signal output end of the frequency spectrograph, and the trigger signal output end of the signal source is connected with the trigger signal input end of the frequency spectrograph; the radio frequency signal output end of the signal source is connected with the radio frequency signal input end of the to-be-tested device, and the radio frequency signal output end of the to-be-tested device is connected with the radio frequency signal input end of the frequency spectrograph. Therefore, testing is carried out in a hardware triggering mode, the synchronization precision of testing is improved so as to improve the testing precision, and when the frequency spectrograph collects and analyzes the radio frequency signal output by the to-be-tested equipment to determine that the testing requirement is met, the testing accuracy is improved. The frequency spectrograph can send out the trigger signal through the trigger signal output end to indicate the signal source to stop testing the to-be-tested equipment, so that testing is automatically carried out under the condition that software does not need to issue an instruction, and the testing efficiency is improved.

The invention discloses a device and a method for testing frequency domain characteristics of a high-speed optoelectronic device. The device comprises a laser, a sawtooth wave generator, a signal source, an acousto-optic modulator, an electro-optic intensity modulator, a low-frequency photoelectric detector, a frequency spectrograph and a computer. An electro-optic intensity modulator is driven through a sawtooth wave modulation technology, and frequency-shifted and non-frequency-shifted optical carriers and frequency-shifted and non-frequency-shifted radio frequency optical sidebands are synchronously generated in an optical path in combination with radio frequency signal modulation. And after the signal is subjected to beat frequency processing by the photoelectric detector, the power of the frequency shift signal in different working states is measured by the frequency spectrograph, so that the frequency domain characteristic parameters of the photoelectric device to be measured are obtained. The method is based on sawtooth wave modulation and an amplitude comparison method, frequency domain response characteristics of a single / dual-drive electro-optic intensity modulator, dual-parallel electro-optic intensity modulation and a photoelectric detector can be accurately represented, the test method is simple, and dependence on a high-frequency test instrument is effectively reduced.

The application belongs to the technical field of automatic test program, and particularly relates to a LabVIEW test method of a multi-channel programmable output clock buffer. The method comprises the following steps: initializing the clock buffer after power-on; resetting the FSWP spectrum analyzer and clearing the previous interface settings; switching the radio frequency switch to channel 1 and opening the channel 1 output; setting the signal source input frequency; setting the signal source input amplitude; starting the signal source input, and outputting the set frequency and amplitude to the input end of the clock buffer; starting the register configuration module, and transmitting the 174 24-bit register values to the SPI in sequence through the serial port, and then transmitting the SPI to the clock buffer; reading the data on the FSWP spectrum analyzer; and the method automatically measures the key indicators of the 14-channel clock buffer, saves the data and judges the advantages and disadvantages. The method reduces the burden of the test personnel, reduces the test time cost, and avoids causing data errors.

This invention provides a self-heterodyne detection system capable of stably and over long periods of time measuring broadband laser linewidths. [Solution] The present invention discloses a self-heterodyne detection system. The system may include a frequency comb light source that generates light, a photodetector that detects the light, an electrical spectrum analyzer connected to the photodetector that analyzes the frequency and wavelength of the light using the detection signal of the photodetector, an interferometer including an input coupler provided between the frequency comb light source and the photodetector to receive the light, a branch waveguide branched by the input coupler, and an output coupler connected to the branch waveguide, and a programmable filter provided in the branch waveguide to select the peak wavelength of the light.

This invention discloses a method and system for measuring the frequency response of an electro-optic modulator based on a spectral analyzer. The system includes a laser, a 95:5 single-mode fiber splitter, an optical power meter, an electro-optic modulator, a control power supply, an RF signal generator, and a spectral analyzer. The measurement method includes the following steps: calculating a calibration factor to correct optical power drift through optical path splitting, driving the modulator by applying several discrete single-frequency RF points, and measuring the carrier power P0(f) using the spectral analyzer. i ) and the first-order sideband power P1(f i ), and determined by the power ratio R(f) i )=10 (P1‑P0) / 10 Combining the Jacobi–Anger expansion / Bessel function relation, the phase modulation index β(f) is solved by inverse solution. i Then, the phase transfer function H(f) at each frequency point is calculated and fitted. i The continuous frequency response S of the modulator is obtained. 21 This invention simplifies the testing process, reduces reliance on high-speed photodetectors and vector network analyzers, and enables high-precision electro-optic response testing of electro-optic modulators at high frequencies.

The invention relates to the technical field of communication, in particular to a broadband radiation field generation and measurement system and a maximum shielding effectiveness estimation method. The system mainly comprises a transmitting end and a receiving end. The transmitting end is composed of a signal generator, a power amplifier and a monopole antenna, and the flexible deployment problem of the high-size monopole mooring antenna is solved by adopting an unmanned aerial vehicle air stretching mode; the receiving end is composed of an annular antenna, a low-noise amplifier and a spectrum analyzer, the spectrum analyzer is used for detecting low-frequency signal characteristics in the shielding body, the low-frequency signal characteristics are substituted into the maximum shielding effectiveness estimation method, and the maximum shielding effectiveness value is obtained through calculation. The system is flexible, detection and analysis of wide-range electromagnetic pulse signals can be achieved by adjusting the frequency of transmitted signals and replacing corresponding transmitting and receiving antenna types, and therefore the system can be widely applied to shielding effectiveness measurement.

The invention relates to the technical field of spectrum analyzers, and discloses a rotary adjustment type spectrum analyzer which comprises a spectrum analyzer body. The fixed cover is arranged, the driving gear rotating in the fixed cover is meshed with the half gear, the angle of the display screen connected with the fixed cover can be accurately adjusted, and different observation requirements are met; a guide roller in the rotation center of the half gear is attached to an ejector rod on the back face of the display screen, when a pressing rod in the center of a driving gear is pushed, a push rod can be driven to enable a friction plate to be separated from a fixing base, the half gear is unlocked, the guide roller can be driven by a synchronous plate to move synchronously, and the display screen is guided to retract inwards through a slope on the guide roller. The risk that the display screen, the fixing cover and other components are scratched in the later angle adjusting process is fundamentally reduced; and after adjustment is completed, the friction plate is attached to the fixing base again, the position of the half gear can be stably positioned, it is ensured that the display screen is kept at the adjusted angle, and adjustment convenience, the protection effect and positioning stability are all considered.

The invention discloses a high-precision spectrum analysis and detection device for bioengineering inspection, and belongs to the technical field of bioengineering inspection, the high-precision spectrum analysis and detection device comprises a high-precision spectrum analyzer main body, and the front side of the high-precision spectrum analyzer main body is provided with an inspection cavity; according to the technical scheme, through the arrangement of the electric push rod, the base plate, the motor, the rotating seat, the top plate and other structures, multiple groups of sample detection boxes can be directly arranged around the top plate in bioengineering inspection, then a worker can adjust the distance between a sample and an infrared light source through the electric push rod, and then the motor is controlled to drive the detection boxes on the top plate to rotate; in the rotating process of the detection box, spectrum detection analysis can be sequentially carried out on biological samples in the detection box passing through the infrared light source, the samples do not need to be repeatedly replaced by personnel, the detection work of multiple groups of samples can be completed at a time, the working efficiency is improved, and the operation is simplified; and the detection accuracy is effectively prevented from being influenced by long-term external environment of the sample.

This invention provides an automated testing device for UAV data links, including an industrial control computer, a display, a spectrum analyzer, a programmable DC power source, a programmable adjustable attenuator, a fixed attenuator I, a fixed attenuator II, a power divider I, a power divider II, an RF switch, a shielded box I, and a shielded box II. The software of the industrial control computer includes a system management module and an automated testing module. The advantages of this invention are: it uses general-purpose testing equipment, is based on a computer-automated program, and controls the settings of each testing device via a bus to simulate remote control, telemetry, image data transmission and reception, and bit error rate statistics; it achieves automated testing of core functional performance indicators of UAV data links such as power consumption, transmit power, spectrum, functionality, receiver sensitivity, bit error rate, and latency.

The utility model discloses a modularization device of transformer oil dissolved gas on -line monitoring, the device is divided into independent first module, second module and third module, wherein the first module contains oil inlet pipe, oil return pipe, oil pump and oil gas separator, and the gas output end of oil gas separator is equipped with first interface, the second module contains gas pump, gas holder, laser spectrum analyzer and data processing module, and the input end of gas pump is detachably connected with first interface, the third module contains display screen, speaker and signal transmission module, and signal transmission module is detachably connected with data processing module, the shell of each module is nested splicing through the guide groove and positioning boss of laminated mounting structure, supports longitudinal, transverse or superimposed multidirectional combination installation, realizes flexible adaptation transformer external space and independent replacement failure module. The device is used for real -time monitoring transformer oil dissolved gas, promotes installation efficiency and maintenance convenience, and is suitable for power equipment fault early warning.

The utility model provides an environment detection device. In one embodiment, the environment detection apparatus comprises: a first sensing device; a second sensing device in fluid communication with the first sensing device; and a spectrum analyzer electrically connected to the first sensing device and the second sensing device. The first sensing device includes a pair of first electrodes configured to provide a first alternating current electrical signal directly to a gas flowing into the first sensing device. The second sensing device includes a first filter configured to capture solids in the gas flowing into the second sensing device and a pair of second electrodes configured to provide a second alternating current electrical signal directly to the first filter if the solids are captured through the first filter.

A radio station test system using a portable spectrum analyzer allows the portable spectrum analyzer to directly control the transmission of various base station signals so that various signal analysis may be performed more quickly and conveniently in an OTA (Over The Air) measurement environment. Further, a radio station test system using a portable spectrum analyzer includes a base station outputting base station signals, a base station control center that controls base station signals by various base station parameters, and a portable spectrum analyzer that receives base station signals and performs a radio station test, which includes a portable spectrum analyzer having: a signal input terminal; a RF processing part; a digital processing part; a display part; a base station parameter setting part; an encoding part; and a communication part.

The invention relates to the technical field of communication network operation and maintenance management, and discloses a communication network reliability assessment method based on big data analysis, which comprises the following steps of: 1, connecting a communication network, a bit error tester, a NetFlow analyzer and a spectrum analyzer through a network to obtain detection data of communication equipment, classifying to form a cross data set, a routing data set and a gateway data set; 2, evaluating the communication state of each crossbar switch according to the crossbar data set, and generating an exchange score; 3, evaluating the communication state of each router according to the routing data set, and generating a forwarding score; step 4, evaluating the communication state of each gateway according to the gateway data set, generating a packaging score, and realizing high multi-dimensional evaluation precision; and step 5, comprehensively evaluating the reliability of the communication network according to the exchange score, the forwarding score and the packaging score, and outputting corresponding evaluation results and optimization suggestions, thereby realizing automatic decision support and preventive maintenance, and being high in intelligent management communication stability.