4531 results about "Instrumentation" patented technology

The invention discloses a laboratory analytical instrument automatic calibration system based on artificial intelligence, and belongs to the technical field of instrument automatic calibration. Comprising the following modules: an intelligent hardware interaction module for realizing plug-and-play of different instruments and accurate conveying of standard substances; the instrument digital twinning module automatically identifies the characteristics of the instrument and simulates the behaviors of the instrument; the multi-mode AI calibration module is used for optimizing calibration parameters and adjusting the calibration process in real time; the environment intelligent compensation module calculates and generates a compensation coefficient in real time, and eliminates the influence of environmental factors on a calibration result; the instrument health management module is used for evaluating the health state of the instrument and predicting the service life of a core component, and realizing conversion from passive maintenance to predictive maintenance; the calibration knowledge graph module is used for realizing automatic extraction, reasoning and application of calibration knowledge through a graph neural network and continuously optimizing a calibration strategy; and the intelligent scheduling and management module is used for generating an optimal calibration plan, coordinating the work of each module and realizing reasonable distribution and efficient utilization of calibration resources.

The invention discloses an indoor water tank sediment starting speed measurement system and method, and aims to solve the technical problem that data accuracy is affected due to the fact that a sensor disturbs a flow field in an existing measurement method. The core of the technical scheme is that the non-contact measurement characteristic of the PIV technology is applied to the whole process from flow field construction to data acquisition. The device is mainly composed of an imaging unit, a laser lighting unit, a movable sliding frame, a water flow adjusting unit and a buffer plate. Optical measurement is carried out through the imaging unit and the laser illumination unit, a physical sensor does not need to be arranged in a flow field, and interference of a measuring instrument on a water flow structure and a sediment starting process is fundamentally avoided. The movable sliding frame which is integrally designed integrates the functions of sediment laying, particle throwing and measuring, so that a test area can be quickly positioned; and the buffer plate and the water inlet and drainage adjusting unit are combined, so that a gradually-changed flow field from weak to strong can be accurately and stably simulated.

The invention provides an electric instrument table intelligent control method based on multi-modal perception and model prediction, and relates to the technical field of electric instrument tables, and the method comprises the steps: obtaining high-precision environment perception data through a multi-modal sensor fusion technology, and constructing a dynamic three-dimensional map to recognize an instrument and an obstacle; the system drives the multi-degree-of-freedom mechanical arm to move efficiently through optimal path planning based on model prediction control, the operation period is remarkably shortened, the overall operation efficiency and throughput capacity are improved, meanwhile, potential collision and abnormal stress are monitored in real time in the grabbing and placing process, an intelligent obstacle avoidance and safe shutdown mechanism is started, and the safety of the robot is improved. According to the method, the robustness and safety of system operation are greatly improved, a flexible grabbing strategy is integrated for precious fragile instruments, lossless operation is achieved through real-time force feedback, high-value samples are effectively protected, finally, through machine vision verification and online optimization, the system can continuously conduct self-learning, the operation precision is continuously improved, and the success rate is continuously increased. And the self-adaptive performance is improved.

The invention relates to the technical field of instrument calibration, and particularly discloses a gas detection instrument prediction calibration system and method. The analysis module is used for determining a detection method of the zero drift phenomenon of the electrochemical gas sensor to be calibrated based on the use environment type; the calibration module is used for determining real-time calibration or periodic calibration of the electrochemical gas sensor in response to the occurrence of the zero drift phenomenon and the abnormal opening state of the electrochemical gas sensor; the evaluation module is used for determining the long-term zero point stability degree or the real-time signal fluctuation degree to evaluate the calibration precision according to the calibration method; the adjusting module is used for determining whether to update the environment compensation coefficient and adjust the calibration interval duration for the next calibration according to the evaluation result of the evaluation module; according to the invention, the accuracy of analyzing the use environment of the electrochemical gas sensor is improved, so that the accuracy of analyzing the zero drift phenomenon is improved, and accurate calibration is realized.

A method of delivering a receptacle to an instrument includes the steps of supporting a receptacle in a carriage, activating an electric motor to move the carriage between a first location and a second location of the instrument while the receptacle is supported by the carriage, applying a clamping force to the receptacle as the carriage moves from the first location to the second location, and releasing the clamping force from the receptacle as the carriage moves from the second location to the first location.

The invention provides a multi-component charged particle detection system, which comprises a low-energy ion analyzer and a low-energy electronic analyzer, and the two analyzers respectively adopt the same FPGA control program; component grouping measurement is added in the FPGA design and is used for realizing multi-component detection in unit measurement time; an instrument number interface is added in the interfaces and is used for reading the level of the instrument number interface; a number identification and control module is added and used for identifying the current instrument type and generating instrument identification parameters; the parameter acquisition module is used for acquiring engineering parameters of different paths when an instrument is a low-energy ion analyzer or a low-energy electronic analyzer; the control module is used for controlling and receiving an instruction conforming to equipment where a current FPGA configuration item is located; and the control module is also used for controlling to output a data packet conforming to the equipment where the current FPGA configuration item is located. According to the system provided by the invention, the same FPGA executable code is programmed on two different devices, namely the low-energy ion analyzer and the low-energy electronic analyzer, so that FPGA configuration item self-adaption is realized.

A method for planning and executing a test of a DUT includes receiving a test description from a user via a GUI, where the test description identifies the DUT and an objective of the test; composing a prompt for querying a large language model (LLM) based on the test description, where LLM includes a trained machine learning algorithm; sending the prompt to the LLM via an API; determining, using the LLM, a test plan for executing the test to be performed in response to the prompt to achieve the objective of the test based on the test description and general testing information, where the test plan identifies a type of test, test instruments for performing the test, a test procedure using the instrument, and parameters of the DUT to be measured according to the test procedure; providing, via the GUI, the test plan to the user for testing the DUT.

A test and / or measurement instrument includes at least three ports and at least three measurement circuits connected to the at least three ports, respectively. The test and / or measurement instrument further includes at least one signal generator circuit and a control circuit. The control circuit is configured to set a first calibration mode and carry out a first test of the instrument by measuring the calibration signal travelling from the signal generator circuit to the respective port as well as a signal traveling from the respective port to the signal generator circuit. The control circuit is configured to set a second calibration mode and carry out a second test of the instrument by measuring the calibration signal forwarded only to the main port in the first sub-mode and the calibration signal received by the respective port from the signal generator circuit via the main port in the first sub-mode.

The present invention relates to an in-situ micro-nano impact indentation testing instrument, falling within the technical field of material micromechanical testing. The instrument comprises a nitrogen generation module, an environmental chamber, a high / low temperature loading module, an “optical-infrared” in-situ monitoring module, an “electromagnetic-piezoelectric” coupling impact module, etc. After the nitrogen is introduced into the environmental chamber and the test area is determined by microscopic imaging, the “electromagnetic-piezoelectric” coupling impact module can drive an indenter to indent a specimen. An acoustic emission sensor embedded in the high / low temperature loading module can monitor the surface crack propagation of the specimen. The “optical-infrared” in-situ monitoring module can perform real-time high-speed optical imaging and infrared imaging on the impact indentation process. The present invention can perform micro-nano impact indentation testing on the material at high or low temperatures.

The invention provides a micro-nano impact press-in tester operation monitoring system based on digital twinning, and is suitable for the field of precise instrument maintenance. The system realizes multi-physical field coupling modeling in a micro-nano press-in test through a digital twinning technology, and can monitor the state of an instrument in real time with high precision, predict faults and perform dynamic optimization. The system is integrated with a high-precision sensor, data such as micro force, extremely high temperature and nanoscale displacement are collected in real time, a digital twin model is constructed, and the operation state of an instrument is mapped. Historical and real-time data are analyzed by means of a machine learning algorithm, potential faults can be accurately predicted, maintenance suggestions can be provided, and the precision retentivity and the test stability of the instrument under the material service working condition are ensured. The interaction center provides a visual interface, supports real-time monitoring, dynamic adjustment and early warning functions, and remarkably improves the intelligent maintenance level of the instrument. The invention is suitable for the fields of material science, micro-nano mechanical test and the like, and provides an innovative precise instrument intelligent management scheme.

The invention discloses a traceable cavity ring-down spectrometer system with a self-calibration function, and is applied to the technical field of gas concentration detection. The device comprises an optical cavity ring-down main body, a dynamic generation module and a reference analysis module which are connected in sequence, wherein the optical cavity ring-down main body comprises a laser light source, a beam splitter, an optical fiber isolator, a lens, a first reflecting lens, a first aluminum ring, a sample cell, a second aluminum ring, a cross shaft type universal coupling control device and a second reflecting lens which are arranged along a laser light path; the dynamic generation module comprises a high-purity gas inlet, a gas purifier, a dynamic generation device, a standard gas outlet and a three-way electromagnetic valve which are arranged along a gas path; the reference analysis module comprises an instrument standard gas inlet, a reference analyzer and a standard gas storage box which are arranged along the gas path. According to the method, the influence of instrument drift on analysis data caused by the use environment and instrument part loss of the online instrument is avoided, and the accuracy and the quantity value traceability of the instrument analysis data are guaranteed.

The invention provides a circuit test system and method and related equipment, and the test system comprises a test mold, electronic test equipment and computing equipment, can test a plurality of circuit parameters in parallel, can complete a large number of tests in a short time for circuit boards produced in batches, can run according to a preset program, and is high in test efficiency. The test result is more accurate and stable, a high-precision test instrument can be equipped, tiny voltage and current changes can be accurately measured, the device has the characteristics of high efficiency and stability, the test cost can be reduced, defective circuit boards can be found and removed in time, defective products are prevented from flowing into the next process, the defective products are prevented from flowing out, and the rework cost is reduced. The test data can be automatically recorded and stored, subsequent data analysis and quality tracing are facilitated, and the test system has obvious advantages in the aspects of efficiency, precision, cost, data management, repeatability and the like and is suitable for large-scale and high-precision circuit board production requirements.

The invention discloses a reactor instrument control system equipment fault early warning method and related equipment, and relates to the technical field of reactor operation and maintenance, and the technical scheme is characterized in that the method comprises the following steps: obtaining operation parameters of target equipment of a reactor instrument control system in real time, and synchronously collecting historical operation data and historical fault data of the target equipment at the same time; constructing a machine learning analysis model, and training the machine learning analysis model by taking the historical operation data and the historical fault data as training samples; running parameters collected in real time are input into the trained machine learning analysis model, abnormal features representing the change trend and the deviation degree of the real-time parameters are output, a preset equipment abnormal feature library is matched based on the abnormal features, whether the target equipment has faults or not is judged, and a health degree index representing the health state of the target equipment is calculated; and if the fault judgment result is that the potential fault exists or the health degree index is lower than the preset health threshold value, generating a corresponding fault early warning signal and a health degree evaluation result.

The invention discloses an electronic nose drift compensation method and system driven by a diffusion adversarial migration mechanism, and the method comprises the steps: constructing a source domain data set and a target domain data set, and obtaining an input signal matrix after preprocessing; constructing a diffusion feature extractor module containing a time embedding unit, a noise injection unit and a residual diffusion unit; forming a cross-domain confrontation migration module with confrontation capability and statistical alignment capability; a two-layer full-connection network is used as a core, a Softmax output layer is accessed, and a task classifier module is constructed; building a drift compensation model, and jointly optimizing parameters of each module through a multi-task loss function to obtain a high-precision electronic nose drift adaptive compensation model; online drift compensation is carried out; according to the system, a data acquisition module, a data preprocessing module, a diffusion feature extraction module and a task classifier module are connected in sequence, and an adversarial migration module is connected with the diffusion feature extraction module. According to the invention, the stability and identification precision of the electronic nose in long-term drift, short-term drift and instrument change scenes can be significantly improved.

The invention discloses a while-drilling electromagnetic wave advanced detection sensitivity analysis method, and belongs to the field of oil-gas exploration and development. The method comprises the following steps: constructing a while-drilling electromagnetic wave advanced detection model, quantifying the influence of different measurement parameters on advanced detection signals, then analyzing the response characteristics of the advanced detection signals, extracting key sensitivity factors, and defining a single-parameter sensitivity function and a multi-parameter coupling sensitivity function; the sensitivity of advanced detection signals is qualitatively and quantitatively analyzed from the four angles of the distance to the interface, the formation resistivity, the interlayer and the stratigraphic dip angle, so that the while-drilling electromagnetic wave advanced detection range is optimized, and the adaptability in the well logging process is enhanced. And meanwhile, the advanced detection second-order sensitivity is approximately solved by adopting a central difference formula, influence factors suffered by advanced detection signals are analyzed from a numerical angle, the interaction of multi-parameter coupling is analyzed, and a scientific basis is provided for electromagnetic wave logging while drilling accurate inversion and instrument design.

The invention relates to a temperature calibration method of a nucleic acid amplification analyzer, and relates to the field of instrument calibration, a temperature probe of a standard temperature measuring instrument is placed on the instrument, and point value temperatures of 40 DEG C, 50 DEG C, 60 DEG C, 70 DEG C, 80 DEG C, 90 DEG C and 100 DEG C are set; starting the data acquisition instrument, respectively operating and heating to temperatures of different target temperature values, calculating an average temperature value of each hole site, and calculating an absolute value of a difference value between the average temperature value and the target temperature value; a mycoplasma pneumoniae quality control product inspection solution with a standard concentration is used, a matched mycoplasma pneumoniae nucleic acid detection kit is added and then put into an instrument to detect a nucleic acid sample, a temperature drift compensation module is arranged, and the deviation of circuit change in long-term use is corrected through periodic self-inspection; the method has the advantages that the difference between the target temperature value and the actual detection temperature value caused by various factors is eliminated, the temperature drift of the instrument in the long-time use process is solved, and the temperature control accuracy of the instrument in the long-time use process is improved.

The invention discloses a tracking scanning measurement system and platform, the tracking scanning measurement system comprises a two-dimensional angle measurement driving device, a contact laser tracker, a non-contact laser scanner and a control device, and the control device is connected with the contact laser tracker, the non-contact laser scanner and the two-dimensional angle measurement driving device. The system is used for controlling a two-dimensional angle measurement driving device to drive a laser tracker to track a set tracking cooperative target in real time in a tracking coordinate measurement mode, obtaining coordinate data of a contact point of the tracking cooperative target and the to-be-measured surface through combination of two-dimensional angle measurement and laser interference distance measurement data, and scanning the to-be-measured surface in a scanning measurement mode. The two-dimensional angle measurement driving device is controlled to drive the non-contact laser scanner to scan a to-be-measured surface, and the scanning point cloud data of the to-be-measured surface is obtained through the combination of two-dimensional angle measurement and absolute distance measurement data. According to the invention, high-precision tracking coordinate measurement and high-efficiency scanning measurement can be realized through one instrument, and the detection efficiency is remarkably improved.

The invention relates to a high-precision self-adaptive temperature regulation and control system for a medical instrument. The system comprises a feature analysis module which collects a multi-dimensional temperature information set with a timestamp and deduces a temperature space-time change trend; and the temperature prediction module generates an optimized temperature distribution diagram by using a Kalman filtering algorithm based on the trend. The temperature deviation value of each area is compared with a preset threshold value, if the deviation exceeds the standard, a dynamic parameter configuration table is generated, and an adaptive power regulation scheme is formulated. And the regulation and control execution module regulates and controls the equipment power according to the regulation scheme to obtain an updated temperature monitoring data set. By analyzing the relevance between the data set and the multi-dimensional temperature information set, a stability optimization parameter is generated, so that a control rule of a fuzzy logic algorithm is adjusted, and a self-adaptive temperature regulation and control scheme is formed. According to the system, accurate prediction, regulation and control of the temperature are realized. The adaptive capacity of the system is improved, and the stability and reliability of temperature regulation and control can be improved by dynamically optimizing the control rule.

The invention relates to the technical field of instrument drifting, in particular to a water quality detection instrument drifting compensation method and system. Comprising a detection response curve sequence acquisition module, a behavior energy value calculation module, a drift degree coefficient calculation module and a drift compensation module. According to the method, a function selection strategy network constructed based on a rule tree is introduced into a compensation path, so that a drift degree coefficient and a sensor type label jointly drive a selection process of an optimal compensation function, and then drift compensation does not depend on a fixed rule or a training model any more and is flexibly adapted according to a real-time response state; and stable output correction of various electrochemical water quality parameters under non-ideal operation conditions is realized, so that the intelligent diagnosis capability, the long-term operation accuracy and the field adaptability of the water quality detection instrument are remarkably improved.

The invention discloses a measuring instrument automatic calibration method and system based on big data, and the method comprises the steps: obtaining the multi-dimensional operation data of a measuring instrument in real time through a sensor, and covering the equipment state and environment parameters; processing the data to generate an operation data set, and extracting a fluctuation characteristic value of the quantitative state change by adopting time sequence analysis; when the fluctuation characteristic value exceeds a preset threshold value, triggering depth characteristic decomposition to obtain deviation distribution information; on the basis of the information and in combination with historical records, the optimal calibration opportunity is judged through a machine learning model; and a calibration instruction is automatically generated and issued to the instrument control module to execute calibration. According to the method, the defects that traditional calibration depends on manpower and is not accurate in time are overcome, intelligent and automatic calibration based on the real state is achieved, the calibration precision and efficiency are remarkably improved, and the adaptability and robustness of the system in the complex environment are enhanced.

The invention relates to the technical field of scientific research instrument management, in particular to an intelligent supervision method and system for a scientific research instrument, and the method comprises the following steps: extracting instrument reservation task information and constructing a timetable, collecting and analyzing control instruction abnormal behaviors to generate risk information, collecting power trend data to recognize an operation state, and carrying out management. And collecting an identity instruction and power information to construct a use record, and analyzing power fluctuation and load degree to generate a maintenance cycle evaluation value. According to the method, dynamic sorting and conflict screening of the reservation requests are realized by combining the task dependency relationship and the priority information, the risk level is evaluated by using the user instruction behavior characteristics, the real-time identification of the operation risk is realized, the accuracy of the operation state identification is enhanced by using the power fluctuation trend analysis, and the user experience is improved. A structured binding relationship of use data is established in combination with the identity and the device number, the information tracing integrity and the data tracing efficiency are improved, and the prejudgment capability of the maintenance period is optimized by using the combined evaluation of the operation load and the power trend.

To process measurements acquired using measurement instrumentation (41, 42), a processing system (50) is operative to perform a physics informed data-driven processing technique to determine at least one parameter related to an asset (20) of an electric power system (10). The processing system (50) is operative to perform a preprocessing (70) of measurements to generate input data, with the preprocessing (70) comprising identifying a subset of measurement locations for which the measurements are reliable for inputting to the data-driven processing technique and using measurements obtained at the identified subset for generating the input data. The processing system (50) is operative to estimate local heat loss, using the data-driven processing technique.

The invention relates to the technical field of angle-resolved photoelectron spectroscopy experimental instruments, and discloses an angle-resolved multi-electron coincidence measurement system and method based on an event-type delay line detector, and the system comprises an angle-resolved energy analyzer; a detection surface of the event type delay line detector is divided into at least two independent areas, and the event type delay line detector is used for receiving photoelectrons in parallel and independently outputting event signals; the external trigger and synchronization module is used for generating a unified trigger period to establish a global time reference; the time digital reading module is used for receiving the event signal and generating a timestamp; and the data acquisition and processing module is used for carrying out association judgment and selection based on the timestamps in the same triggering period. The dead time is reduced through multi-region parallel reading, unified time base calibration is achieved through time base line calibration and delay compensation, multi-electron coincidence measurement can be achieved under the condition that the angular resolution capability is kept, and the method is suitable for pulse or continuous light sources.

The invention discloses a laboratory instrument data automatic acquisition and analysis method and system, and relates to the technical field of laboratory instrument acquisition and analysis, and the method comprises the steps: obtaining sample identification information, automatically sorting and distributing the sample identification information to different analyzers, uploading detection data to a central database in real time, and associating a sample number, a detection timestamp and an instrument number; the method comprises the following steps: constructing a multi-dimensional feature space based on historical detection data, performing sub-cluster division by adopting a density clustering algorithm, establishing a cross-index logic constraint relationship in combination with an expert rule base, mapping real-time detection data to the multi-dimensional feature space, judging a data exception type according to sub-cluster affiliation and the logic constraint relationship, and when judging that the data is exceptional, judging that the data is abnormal. And triggering a secondary detection process, automatically dispatching a mechanical arm to send the sample back to a specified instrument to execute differentiated reinspection operation, and generating a comprehensive report containing detection process tracing. According to the invention, the automation level of detection is improved, the labor cost is reduced, the detection quality and efficiency are improved, and the laboratory detection work efficiency is improved.

The invention discloses a greenhouse gas infrared spectrum fitting method based on instrument linear function iterative inversion, and relates to the technical field of atmospheric greenhouse gas infrared spectrum measurement. According to the greenhouse gas infrared spectrum fitting method based on instrument linear function iterative inversion, through iterative calibration based on infrared spectrum parameters and the instrument linear function, greenhouse gas concentration is obtained, a calibration spectrum is fitted, dynamic conditions such as current environment temperature and gas pressure are obtained, and an absorption cross section reference value in a database is combined, so that the greenhouse gas infrared spectrum fitting method based on instrument linear function iterative inversion is obtained. According to the method, the absorption cross section value under the real condition can be calculated for each wavenumber point, errors caused by fixed parameter hypothesis are eliminated, in addition, the matching degree of a calibration spectrum and an actual measurement spectrum is remarkably improved by iteratively optimizing the center wavenumber and the resolution width of an instrument, and particularly under the conditions of high noise and complex multi-component interference, the accuracy of the calibration spectrum is greatly improved. And the overall precision of spectrum fitting is improved, so that the accuracy and reliability of greenhouse gas concentration inversion data are ensured.

The utility model provides a difunctional angle measuring instrument, which relates to the technical field of angle measuring instruments, and comprises a first graduated scale, one side of the first graduated scale is fixedly connected with a circular shaft, the outer ring of the circular shaft is rotatably connected with a second graduated scale, one side of the second graduated scale is provided with a first sliding chute, and the second graduated scale is provided with a second sliding chute. A first sliding groove is formed in one side of the first graduated scale, a second sliding groove is formed in the other side of the second graduated scale, angle scale marks are arranged on one side of the second graduated scale, a pointer is fixedly connected to one side of the first graduated scale, and one end of the pointer penetrates through the first sliding groove and points to the angle scale marks. Therefore, the rotating angle of the arc-shaped rack driven by the rotating gear is small, so that the effect of accurately adjusting the second graduated scale is achieved, the situation that the force is too large or too small during operation can be avoided, the measurement accuracy is improved, the angle measuring instrument is convenient to use, and the use effect is improved.

The invention discloses a deep ore rock stability rapid assessment method and system based on RMR classification, and relates to the technical field of ore rock assessment and mining. Intelligent calibration scanning is carried out through a high-precision scanning device to obtain fracture data of the deep ore rock, the complete deep ore rock stability rapid evaluation method and system are constructed, and efficient acquisition of ore rock quality parameters and RMR preliminary scoring are achieved through digital acquisition equipment and a high-precision scanning technology. A target collaborative calibration mechanism and a data quality index dynamic evaluation system are innovatively introduced, the monitoring influence of instrument system errors on key parameters such as fracture occurrence and rock mass strength is remarkably reduced, and the accuracy and reliability of RMR scoring are improved. The system has strong environmental adaptability, can autonomously identify and suppress noise interference based on a stereographic projection and intelligent filtering parameter adjustment mechanism, and ensures that high-quality point cloud data can still be stably output under complex geological conditions.

The utility model provides an on-line rotary viscometer, which belongs to the technical field of viscosity measuring instruments and comprises a measuring chamber, a rotor, a stator, a driving component and a detecting piece, and the measuring chamber is suitable for being communicated with a pipeline to be measured; the rotor is arranged in the measuring chamber, the rotor is of a cylinder structure with a cavity inside, and a plurality of liquid inlet grooves communicated with the cavity are formed in the side wall of the rotor; the stator is rotatably arranged in the cavity, and a medium channel is arranged between the stator and the rotor; the driving assembly is connected with the rotor, a medium flowing through the medium channel can rotate around the stator under the rotating action of the rotor, and the rotating medium can drive the stator to rotate or drive the stator to generate a rotating trend; the detection piece detects the viscous torque borne by the stator during rotation. According to the online rotary viscometer provided by the utility model, the rotation of the stator is driven by a medium without friction loss caused by a transmission process, so that the viscous torque during the rotation of the stator is accurately obtained, and the accuracy of a result is improved.

The invention discloses a concrete early cracking crack test device and a measurement method, the device comprises an environment main box body, a bottom plate of the environment main box body is connected with a clamping groove, and an anti-cracking test mold is fixed through the clamping groove; an image acquisition unit, a temperature control air supply box, a humidity control box and a load unit are also arranged in the environment main box body; the image acquisition unit, the temperature control air supply box, the humidity control box and the load unit are all connected with an instrument control module. The measuring method comprises the following steps: firstly, starting the temperature control air supply box and the humidity control box, then pouring concrete into the rectangular frame to form a test piece, and pushing the anti-crack test mold into the clamping groove for fixing; when the test piece reaches final setting, the fixing screws are removed, and the hydraulic cylinder is started to apply load force to the test piece; an image of the test piece is acquired through the image acquisition unit and processed, and crack information in the image is obtained through calculation. According to the invention, temperature, humidity, wind and stress under different conditions can be provided according to test requirements, and the accuracy of test results is improved.

The invention discloses a regulation and control method for security check door magnetic field accurate compensation and efficient production, and relates to the technical field of security check device.The regulation and control method comprises the specific steps that S100, magnetic field detection and positioning are conducted, specifically, distribution of a magnetic field around a security check door detection coil is analyzed in detail through electromagnetic field simulation software and a magnetic field measuring instrument, the position and the shape of the compensation coil are planned through comprehensive magnetic field analysis and regulation and control area selection, the compensation magnetic field is generated by using the reversely wound coil, the current induced by the transmitting coil in the detection coil when no metal passes through is effectively counteracted, the false alarm rate is greatly reduced, and meanwhile, the detection accuracy is improved. In addition, by constructing a standardized production system, unified and mechanical production of the security door is achieved, the production efficiency is improved, the production cost is reduced, powerful support is provided for large-scale application of the security door, the problem that the performance of the security door is unstable is solved, and innovation of the security door production technology is promoted.