133results about How to "Overcoming detection" patented technology

The invention relates to an antibody chip kit for diagnosis of various tumors. The kit includes an antibody chip, a tumor marker standard substance mixture, a biotin-labeled tumor marker detection antibody mixture, and a fluorescein Cy3-labeled streptavidin, wherein the antibody chip includes a substrate, 16 kinds of tumor marker specific antibodies fixed on the surface of the substrate, and two kinds of positive controls, and the tumor marker standard substance mixture is a freeze-dried mixture obtained by mixing 16 kinds of standard tumor marker standard substances together according to a certain amount. The kit can detect 16 clinical commonly used tumor markers, overcomes the defects of complicated operation, single detection index, low sensitivity and the like in the prior art, has the advantages of being cheap, convenient, sensitive, accurate, high in throughput, and less in amount of samples, and can be popularized and large-scaled in common laboratories.

The invention provides a tamper-proofing test method of key data in the database, which comprises following steps: arranging a check code in the record of the database, wherein the check code is generated according to the key data in the record; generating a cipher text of the key data when testing; comparing the cipher text and the check code, and determining if the key data is tampered with according to the comparing result. In the state of guaranteeing the safety of the system key and after the database is externally tampered with, the external attack which tampers with the data can't obtain a key value and can't fake the check code matched with the core data, thereby the tamper-proofing test method of the invention can fundamentally guarantee the accuracy of the data, and overcome theproblems that the prior art is the tamper-proofing scheme aiming at web page, and when the core data stored in the database server is tampered with, the prior art can't test and monitor the tampered core data.

The invention discloses an infrared nondestructive testing method based on thermal image time sequence characteristics. The new method with pixel as a unit is used for the infrared nondestructive test of flaws and is based on thermal image time sequence characteristics and PNN (probabilistic neural network). The infrared nondestructive testing method comprises the following steps: firstly, obtaining an infrared time sequence thermal image of a heating test piece in a cooling process by an infrared thermal imager; secondly, extracting the gray values of normal and abnormal areas in the time sequence thermal image, establishing the relationship between the gray values of different areas and time and then obtaining the corresponding initial time sequence characteristics; thirdly, reducing the dimensions of the initial characteristics by adopting main constituent analysis so as to obtain the time sequence characteristics; and finally establishing the probabilistic neural network with the time sequence characteristics as training samples.

The invention discloses an electrocardiogram R wave detection method. The method comprises the following steps: filtering an input electrocardiogram signal by a band pass filter, and performing phase compensation; performing differential processing; performing data reduction on a differential signal by adopting linear variation; performing Shannon energy conversion by using a formula d(n)*d(n)*log(d(n)*d(n)); filtering by using an average filter, and performing phase compensation; detecting a maximum point and a minimum point, eliminating a fault R point, and correcting a falsely eliminated point to obtain a position of approximate R wave; and searching the position of true R in a range of periphery of the position of the approximate R wave +/- 25 points. By using the method, the problems of time delay and asystole detection unavailability in the conventional R wave detection method can be solved, and the method can be used for analyzing real-time electrocardiogram to reduce time delay and reduce required memory space, so that the accuracy rate is improved.

The invention discloses a depth convolution network optical remote sensing image target detection method based on extended residual convolution, which solves the problems of low detection accuracy rate and high false alarm rate of optical remote sensing image plane and ship in the prior art. The implementation steps are as follows: constructing a test data set; construct training data set; constructing a target detection network based on extended residual convolution for extended feature receptive field,training target detection network based on extended residual convolution using training data set; using the trained target detection network based on extended residual convolution to detect the target from the test data set, outputting test results. The network constructed by the inventionis more suitable for target detection of an optical remote sensing image by using an expanded residual convolution module and feature fusion, and not only improves the accuracy of a common target, butalso obviously improves the accuracy of small target detection for the optical remote sensing image. The method is used for object detection in optical remote sensing images.

The invention provides a temperature and pressure integrated sensing device based on high birefringence photonic crystal fiber surface plasmon resonance and a measuring method thereof. The sensor includes a wide spectrum light source, a fiber connector, a common single-mode fiber, a high birefringence plated film photonic crystal fiber and a spectrometer. The external temperature and the pressureof the high birefringence plated film photonic crystal fiber are judged through surface plasmon resonance wave spectrums detected by the spectrometer. In a condition of a certain pressure, when the external temperature of the sensor increases, the resonance wavelength is reduced; when the external temperature drops, the resonance wavelength is increased. In a condition of a certain temperature, when externally applied pressure of the sensor increases, the resonance wavelength is increased; when the externally applied pressure is reduced, the resonance wavelength is reduced. A light source is replaced by the light source the wavelength of which is close to a surface plasmon resonance wavelength, and a loss spectrum analysis method is utilized to determine a position where surface plasmon resonance occurs. According to the invention, the external temperature and the pressure can be analyzed and detected once at the same time.

The invention relates to an intelligent vehicle control system and method based on an intelligent transportation platform. The system comprises an intelligent vehicle controller, a closed electromagnetic guide rail, an electromagnetic sensor, a steering engine, a motor driving module, a speed measuring module, an infrared distance measuring module, a radio frequency identification module, a radio frequency coil and a signal generator. The control method includes the steps that intelligent vehicles autonomously run along a set road of the intelligent transportation platform, the speeds of the vehicles are controlled, the vehicles run according to a formation, and the vehicles run at an intersection according to traffic rules. The function of tracking the intelligent vehicles is completed through the electromagnetic sensor, and the problem that when a photoelectric or camera sensor is adopted, the sensor can be easily disturbed by visible light is solved. Formation driving control is achieved based on infrared distance measurement, and the problems that when an ultrasonic wave distance measuring technology is adopted, influences caused by the temperature of the environment are serious, and the accuracy rate of detection is low are solved. The problem that because a control signal and a signal lamp can not be synchronous when the intelligent vehicles pass through an intersection, the vehicles jump the red light is solved based on the radio frequency identification technology.

The embodiment of the invention discloses an intelligent contract detection method of a block chain network service platform. The method comprises: an uploaded intelligent contract is received; Anomaly detection is carried out on the intelligent contract, and the detection result is obtained; When the detection results represent the intelligent contract abnormality, the abnormality is prompted according to the detection results. The embodiment of the invention also discloses a block chain network service platform and a storage medium.

The invention discloses oral cavity comprehensive detecting method and apparatus based on a flexible phase controlled ultrasonic array. The apparatus comprises a display module, a phase controlled ultrasonic transmitting module and a phase controlled ultrasonic receiving module connected with a control module, respectively. The phase controlled ultrasonic transmitting module and the receiving module are further connected with a flexible phased array ultrasonic transducer array. The method comprises the following steps of: performing ultrasonic scanning to detect teeth facing outwards skin in periphery of the oral cavity on the face or in all directions of other soft tissues of the oral cavity through the flexible phased array ultrasonic transducer array; transmitting ultrasonic waves with set frequency to detection points through the phased array focused ultrasound when detecting the teeth so as to detect the amplitude of the reflected wave and detect whether defect waves exist in the reflected wave; and transmitting ultrasounds with different frequencies to the detection points through the phased array focused ultrasound and detecting the attenuation of the transmitted wave with different frequencies at the other end when detecting the soft tissues of the oral cavity so as to obtain broadband ultrasonic attenuation parameters. Therefore, health states of the soft tissues of oral cavity can be obtained rapidly.

The invention discloses a mechanical part vision detection system. The mechanical part vision detection system comprises a mechanical module, an image acquisition module, a control module and an imagedetection module. The mechanical module connects the image acquisition module, the control module and the image detection module together. All the functional modules are matched mutually for cooperation to maintain smooth operation of the vision detection system. The mechanical part vision detection system mechanically detects the surface defects and the processing size of a machine instead of manual detection, conducts automatic comparison, judgment and sorting, achieve the automation and intelligence effects and classifies products according to the types of the defects on the processing surfaces of mechanical parts and according to whether the processing size of the products is qualified or not through comparison. The process is completely controlled through the computer program. The mechanical part vision detection system is easy and convenient to operate. The defects existing during manual operation and in the conventional detection technology are overcome.

The invention discloses a silicon nano cone array coated with a gold film as well as a preparation method and an application thereof. The array is a silicon nano cone sequence array with a surface coated with a gold film, wherein the conical bottom diameter of silicon nano cones forming the silicon nano cone sequence array is 180nm to 220nm, the cone height is 450nm to 550nm, the cone period is 250nm to 350nm, and the thickness of the gold film is 15nm to 25nm. The preparation method comprises the following steps: first synthesizing polystyrene colloidal spheres on a silicon substrate to form a single-layer colloidal crystal template by virtue of a gas-liquid interface self-assembling technology, placing the silicon substrate with the single-layer colloidal crystal template in a sulfur hexafluoride atmosphere, etching the silicon substrate by virtue of plasma to obtain the silicon substrate with silicon nano cone sequence array, and depositing the gold film on the silicon substrate with the silicon nano cone sequence array by utilizing an ion beam sputtering technology or thermal evaporation deposition technology to obtain a target product. The silicon nano cone array can be used as an active substrate of surface enhanced raman scattering to measure the content of clenbuterol hydrochloride attached thereon.

The invention discloses an original-space detector and a detection method for beach shallow sea sediment strength. The original-space detector for the beach shallow sea sediment strength comprises a control ship and a frame device, wherein the control ship is provided with an air charging device and a vacuum generator and the frame device is provided with an injection device and a hydraulic device. An air pressure chamber on the frame device is connected with the air charging device and the vacuum generator. The air pressure chamber is a cylindrical leather bag with cross section being circular and vertically arranged. A protection cylinder is further arranged outside the leather bag. Water discharge holes are formed in the surface of the protection cylinder. The water discharge holes are in an oval shape, a V shape or a U shape. The method comprises the steps that the frame device is pulled to a target point through a ship and sinks to the seabed through self weight, strength of sediment under the seabed is detected through a hydraulic injection manner, contacting probe strength testing parameters are obtained, test points stratums are divided according to strength values of various layers of soil, names are chosen for the stratums, and bearing force and modulus on beach shallow sea foundation sole are confirmed. According to the original-space detector and the detection method for the beach shallow sea sediment strength, the defect that a large-scale research vessel can not be driven to a beach shallow sea range to conduct original-space strength detection for the seabed sediment is overcome, geological exploration can be repeatedly conducted in different seabed areas, cost is greatly reduced, and efficiency is improved.

The invention relates to the technical field of detection, in particular to an evaluation method for the black tea fermentation quality based on a near-infrared spectrum technology. The method comprises the following steps of preparation of black tea samples, collection of spectrum information, measurement of fermentation quality indexes, division of sample sets, pretreatment of spectrum information, screening of characteristic wavelength variables, establishment of a fermentation quality prediction model and prediction of all fermentation quality indexes. According to the evaluation method, sample pretreatment is simple, the fermentation quality can be accurately and quickly identified, the method is high in operability, and influence of subjective consciousness in artificial sensory organ evaluation and complex operation of a traditional chemical analysis method are avoided; the result is objective and accurate, the objectivity and accuracy of the black tea fermentation quality are improved, the theoretical basis is provided for further implementation of an automatic, intelligent and precise fermentation control technology, and the method has great realistic significance and application prospects in detection of tea quality indexes.

The invention relates to a fiber sensor, particularly relates to a multifunctional sensor with microstructure fiber surface plasma resonance and a preparation method thereof. The two sides of the photonic crystal fiber substrate of the fiber are provided with fan-shaped openings that surface of which are plated with gold films. Tips of the bottom ends of the fan-shaped openings are provided with silver nanowires. The core of the photonic crystal fiber substrate is provided with a magnetic fluid, and the outer side of the core is provided with a cladding air hole. The preparation method comprises the steps of: polishing the fan-shaped openings on the photonic crystal fiber; filling the silver nanowires; uniformly plating the gold films on the surface of the fan-shaped openings; pressing themagnetic fluid into the photonic crystal fiber from a small tube; and coupling and splicing the two ends of the common single mode fiber and the photonic crystal fiber through the self-calibrating function of the a fiber fusion splicer. The sensor of the invention can achieve the analysis and detection of the external magnetic field intensity, the refractive index of the to-be-measured liquid andthe external temperature in one time, therefore, the technical defects that the conventional detection technology is complex in operation, low in detection sensitivity and non-real time online detection are overcome.

The invention relates to a health life behaviour management system and method based on a mobile terminal. The health life behaviour management system comprises wearable equipment and further comprises the mobile terminal, a data receiving server, a data management server, a data processing server, an information publishing server and a database, wherein the data receiving server, the data management server, the data processing server and the information publishing server are at a cloud side; a narrow-band wireless data link is established between the wearable equipment and the mobile terminal through short-distance wireless transmission; a broadband wireless data link is established between the mobile terminal and the data receiving server through long-distance wireless transmission; a bidirectional data link is established between the database and each server respectively; an original data transmission link is established between the data receiving server and the data processing server; a processing data transmission link is established between the data processing server and the information publishing server; and a control data transmission link is established between the data management server and the data receiving server. Numerous individual users can be served when the efficiency is high; and abundant functions, such as an online doctor consulting function, a relative and friend binding function, an emergency call function, a real-time locating and tracking function and a health product purchasing function, can be provided.

Present invention relates to a simple microprocessor deadlock detection and intervene methodú¼for solving deadlock in system. It contains opening timer resource and initialisation utilized physics internal storage location timer before initiating task obtaining CPU time, proceeding accumulation clocking to physics internal storage location timer in timer interruption service program according to current task running status, continuously circular checking CPU occupied utilized time unless current operational task normal ending, if exceeding configured maximal operation time, then regarding deadlock occurring, thereby ending deadlock task and taking CPU time to followed task to continue execute. Said technology only uses less resource, such as a whole flag bit, a physics memory timer and timer resource.

The invention relates to an image tampering detection method, terminal equipment and a storage medium, and the method comprises the steps: S1, collecting an untampered image and a corresponding tampered image, subtracting the tampered image from the untampered image to obtain a difference image of the tampered image, and enabling the untampered image and the tampered image to jointly form a training set; S2, constructing a binary classification network model, and training the binary classification network model through the training set, so that the trained binary classification network model can distinguish whether the image is tampered or not, wherein the binary classification network model comprises a feature extraction layer, an image attention layer and a classifier; S3, recognizing whether the image is tampered or not through the trained binary classification network model. The difference image is used as a real label. A real label is used as tampering supervision information, a neural network is used for training a binary classification network, the network is guided to obtain an accurate tampering detection probability value and a fake positioning graph, and the performanceof face tampering image recognition and classification can be effectively improved.

The invention discloses a method for monitoring the integrity of a navigation system based on a distributed sensor network and belongs to the technical field of navigation positioning. According to the method disclosed by the invention, the integrity of the navigation system based on the distributed sensor network is monitored by utilizing a staged treatment mode of sensor-stage integrity monitoring treatment and system-stage integrity monitoring treatment. During the sensor-stage integrity monitoring stage, the integrity of a GNSS (Global Navigation Satellite System) receiver is monitored by utilizing an RAIM (Receiver Automatic Integrity Monitoring) method, the integrity of k SRIMU network nodes is monitored by utilizing a comprehensive method based on a moving window-parity vector method and a discrete wavelet transform method; and during the system-stage integrity monitoring stage, the integrity is monitored by adopting an innovation-based processing method and a moving window information processing method. According to the method disclosed by the invention, in terms of a distributed sensor network node to a whole distributed navigation system, both phase step fault and slope fault can be effectively monitored, and the integrity performance of the navigation system based on the distributed sensor network can be comprehensively enhanced.

The invention relates to a device and a method for measuring a pressure surface angle of a dovetail-type blade tenon. The device comprises a base on which a positioning block is mounted. The base is provided with an oblique surface. The oblique surface is attached to the left end surface of the positioning block, thereby forming an acute-angle area. The positioning block is provided with a dial gauge and a slidable movable measuring pin, wherein the dial gauge and the slidable movable measuring pin are horizontal. The movable measuring pin is vertical with the left end surface of the positioning block. Furthermore the left end of the movable measuring pin extends into the acute-angle area, and the right end is connected with a lever which can rotate around a fixed shaft for transmitting the displacement of the movable measuring pin to the measuring head of the dial gauge. Below the movable measuring pin, two positioning pins are fixedly mounted at the left end of the positioning block. The end of each positioning pin is aligned with the end of the movable measuring pin. According to the device and the method, the pressure surface of a standard component or the tenon to be measured pushes the movable measuring pin to slide. Displacement is transmitted to the dial gauge through the lever. An angle difference of the pressure surface angle of the tenon relative to the standard component is obtained through direct measurement. The accurate value of the pressure surface angle is obtained through calculation, and convenient and accurate measurement is realized.

The invention provides a novel multi-angle SAR image fusion imaging algorithm being a multi-angle SAR image fusion method with local image index optimization. According to binary segmentation results of a layover zone and a non-layover zone of image pixels, paired crossed classification and fusion processing, like larger value taking, smaller value taking, and criterion interchanging, is carried out on a layover zone image and a non-layover zone image, thereby eliminating the adverse influence on SAR image fusion by layover and shadow phenomena effectively. Meanwhile, image quality evaluation is carried out on each image after fusion processing, a local image index of each image is calculated by using a sliding window by taking each pixel as center, and a final fusion processing result Iopt based on a local image index optimization criterion. Therefore, the image index of the fusion processing result Iopt can be guaranteed not only to be optimal globally but also to be optimal in a neighbor region by using any pixel as center.

The invention provides a primary equipment intelligent interface device in a substation. The device comprises a driving-in module, a state collecting module, a communication module, a driving-out module, a man-machine interface module, and a data and logic processing module which are connected through a bus. According to the primary equipment intelligent interface device in the substation, logic operation is used for replacing a traditional electromagnetic relay circuit, so that the state of primary equipment of the substation can be detected. The device has a self-detection function and a communication function, can effectively overcome the defects that the number of failures of a traditional relay circuit is large, and the failures in operation can not be detected, can detect the state of a switch and other primary equipment in real time, simplifies a circuit, simplifies installation, improves efficiency of operation on the primary equipment, and improves the reliability of operation of the primary equipment.

The invention provides a portable hydraulic oil particle and moisture detection device, characterized in that: the device comprises a bidirectional plunger pump (8), an automatic particle counting sensor (10), and a moisture sensor (12) connected with an oil outlet pipe, and the bidirectional plunger pump (8), the automatic particle counting sensor (10) and the moisture sensor (12) are successively connected through high pressure flexible pipes; the device is provided with an embedded microprocessing system (11), the embedded microprocessing system (11) is connected with the moisture sensor (12), a display screen and a printer through data lines; a motor-driven electric device (9) controls the bidirectional plunger pump (8) to work. The portable hydraulic oil particle and moisture detection device overcomes the problem that a hydraulic oil detector only can detect particle or moisture, combines off-line and one-line application together, can be directly accessed in a hydraulic system to realize the simultaneous detection of hydraulic oil particle and moisture, and has the advantages of convenient operation, high precision, lasting stability, and the like.

The invention discloses a method for detecting non-overlapping network communities and overlapping network communities based on a two-stage strategy, which solves the problem of incapability of multi-resolution analysis of an overlapping network community structure in the prior art. The method has the implementation steps of (1) loading network data; (2) initiating the population of network communities; (3) dividing the population of the network communities; (4) building a network community team; (5) detecting candidate network community division; (6) updating the population of network communities; (7) detecting local network communities; (8) updating the population of network communities; (9) judging whether iteration is terminated or not; (10) outputting non-overlapping network community division; (11) detecting nodes of overlapping network communities; (12) outputting an overlapping network community division result. A module density function and a membership function are introduced, so that multi-resolution analysis of the overlapping network community structure is realized, and the overlapping network communities with different overlapping degrees can be detected.

The invention discloses a molecular probe for detecting African swine fever virus, a kit and application thereof, so as to solve the technical problems of poor reliability and poor practicability of the existing detection technology. The nucleotide sequence of the molecular probe for detecting African swine fever virus is shown as in SEQ ID NO.2. An RT-PCR reaction solution for detecting African swine fever virus is prepared, lyophilized powder for the RT-PCR reaction solution for detecting African swine fever virus is prepared, an African swine fever virus detection kit is prepared, and an African swine fever virus qualitative and quantitative detection method is provided. The designed molecular probe and the built RT-PCR detection method have the characteristics of high sensitivity, goodrepeatability and strong specificity, the reliability and the usability of ASFV detection by the PCR technology are improved, pollution-free and high-flux detection is realized, and ASFV nucleic acids in susceptible animals and related animal products can be detected.

The invention provides a dead-time compensation system which comprises a current sampling unit, an adaptive filter, a forward conversion unit, a low-pass filter, a reverse conversion unit and a dead-time compensation unit, wherein the adaptive filter is used for adaptively filtering each of sampled three phases of current to obtain a three-phase current forecast value; the forward conversion unit is used for executing 3/2 conversion and rotary conversion on the three-phase current forecast value; the low-pass filter is used for performing low-pass filtration; the reverse conversion unit is used for performing rotary reverse conversion and 2/3 conversion; and the dead time compensation unit is used for performing dead-time compensation according to the current subjected to 2/3 conversion. The invention also provides a corresponding dead-time compensation method. According to the invention, the adaptive filter can filter the sampled three phases of current, thereby overcoming an error between a detected value and a real value, which is caused by current detection delay and further avoiding failure of dead-time compensation caused by inaccurate detected current value.

The invention discloses a method for synchronously detecting multiple antibiotics in polluted water. The method comprises the following steps: (1) after carrying out solid-liquid separation on to-be-detected polluted water, taking supernatant, carrying out membrane filtration, and regulating the pH (Potential of Hydrogen) value of filtrate to be X, wherein X is an arbitrary value within 3.5 to 4;(2) enabling the filtrate of which the pH value is regulated to pass through an HLB (Hydrophile-Lipophile Balance) column for enrichment, and extracting after completing column chromatography isolation, thus obtaining an eluent of antibiotics; (3) detecting the content of the antibiotics by adopting HPLC (High Performance Liquid Chromatography)-MS (Mass Spectrometry) method. The method disclosed by the invention is low in detection limit and high in detection accuracy, is capable of synchronously detecting more than 20 kinds of antibiotics, and has a very good application prospect.

The invention discloses a method for detecting targets based on components. The method mainly solves the problems that a target component detection algorithm is high in calculating complexity, narrow in application range, and inaccurate in target space structure. The method includes the steps of marking a training image; constructing a target space structure; calculating space structure model parameters; calculating appearance model parameters; transmitting model parameters; collecting a detected image; initializing target-detected parameters; obtaining central component transmitting position coordinates; determining whether to record the central component transmitting position coordinates for the first time; obtaining a similar component position coordinate set; obtaining a final component position coordinate set; and displaying detected results. The method for detecting targets based on components accurately expresses the target space structure, improves the detection speed and extends the application range of the target component detection algorithm.

The invention provides an automobile electronic hand brake assembling and welding device. The device comprises a machine frame, wherein a conveying mechanism is arranged on the machine frame, a tool jig is arranged on the conveying mechanism, and a clamping and turning mechanism, a sucking and placing mechanism, a positioning and detecting mechanism, a Y-Z moving assembly and an ultrasonic weldingdevice are sequentially arranged above the conveying mechanism; the ultrasonic welding device comprises a welding supply clamping mechanism and an ultrasonic welding machine, and the tool jig is provided with a body position and a vertical upper cover position; the Y-Z moving assembly comprises a Y-axis moving module and a Z-axis moving module, and the welding supply clamping mechanism is in sliding connection with the Z-axis moving module; and the ultrasonic welding machine is located on one side of the Y-axis moving module, and the positioning and detecting mechanism is positioned below theY-axis moving module. According to the technical scheme of the automobile electronic hand brake assembling and welding device, automatic assembling and welding of a product and an upper cover are realized, the production efficiency is greatly improved, and the consistency and the percent of pass of products are improved.

The invention relates to an antibiotic detection method. The method concretely comprises the following steps: (1) carrying out pretreatment for vegetable samples in order to obtain an antibiotic extract; (2) carrying out extraction for the antibiotic extract in order to obtain an antibiotic eluate; (3) evaporating the antibiotic eluate to dryness by a rotary evaporator, carrying out volumetric flask preparation with an initial mobile phase, and carrying out filtering with a syringe filter in order to obtain an antibiotic liquid to be measured; (4) carrying out detection for the antibiotic liquid to be measured by optimized high performance liquid chromatography-tandem mass spectrometry in order to detect antibiotics to be measured. The method for detecting 11 kinds of antibiotic residues in vegetable samples has the advantages of high recovery rate and low detection limit, and overcomes the disadvantages and insufficient that antibiotic detection methods in the prior art have high cost, few antibiotic detection kinds, and high detection limit; a base for assessing antibiotic environmental behaviors and risks is established.

The invention discloses a coplanar capacitor type polymer molecular orientation measuring device and method. The measuring device comprises a sensor probe array (10), a capacitance measuring unit (13) and an orientation calculation module (14), wherein the sensor probe array (10) comprises multiple groups of coplanar electrodes; any one group of coplanar electrodes comprises at least two conductive electrodes; the capacitance measuring unit (13) is used for measuring capacitance between any two conductive electrodes in the same coplanar electrode and acquiring multiple groups of capacitance data; and the orientation calculation module (14) is used for calculating molecular orientation of a to-be-measured polymer according to the multiple groups of capacitance data. According to the device and method disclosed by the invention, the molecular orientation of the polymer is measured through the coplanar electrode structure by utilizing anisotropism of dielectric properties of polymer materials, the orientation-dielectric-capacitance relationship is established, and the device and method are applicable to various polymers, belong to nondestructive testing and have the characteristics of high precision, fast response, non-invasive type and the like.