65results about How to "Avoid false alarms" patented technology

The invention provides an adaptive CFAR detection method based on scene classification, and the method comprises the steps: carrying out the scene classification of an input SAR image through employing a K-means clustering algorithm, carrying out the target detection of a pure sea area obtained through classification through employing VI-CFAR, and carrying out the CFAR detection of a coastal area through employing a significance model. According to the method, the problems that a traditional CFAR algorithm is high in false alarm rate and unstable in detection performance in port and land complex backgrounds are effectively solved, detection parameters are optimized according to the complexity of different scene backgrounds, and therefore it is ensured that the CFAR algorithm can still maintain the constant false alarm rate in the sea clutter background, and the robustness of target detection is remarkably improved. The ocean area and the land area in the image are effectively distinguished, and the land area is shielded. According to the technical scheme, the problem that a traditional CFAR detection algorithm is interfered by a complex land background when detecting ships on the sea surface is solved.

The invention discloses an airborne equipment acceleration monitoring and outrange control method and system, which cover acceleration monitoring of the whole flight process, combine dynamic scene modeling and a hierarchical response mechanism, and can timely identify an abnormal state and start corresponding measures. Through system calibration, noise identification, dynamic filtering, mistaken touch prevention parameter setting and a collision algorithm, false alarm and missing alarm caused by vibration, impact or sensor faults are effectively avoided, double modes of automatic collision detection alarm and manual triggering alarm are supported, the flexibility and safety of the system are improved, and once it is confirmed that the system is in distress, the system is safe and reliable. Rescue signals including position, time, height and other key information can be automatically sent, and the emergency response time is remarkably shortened.

This invention relates to the field of intelligent water control terminal control and electromagnetic compatibility processing technology, and particularly to an anti-interference water control terminal control method and system with abnormal alarm. The method includes: reading raw signals in parallel from water shortage, anti-magnetic, and flow sampling interfaces; processing and mapping these signals into alarm events and writing them into a hardware alarm event set; performing board-level partitioning layout based on the information in the event set to generate a partitioning layout configuration set; configuring decoupling units, laying grounding wires and copper plating, and setting multiple grounding nodes accordingly; assigning power supplies to each detection interface to an analog power path and power supplies to the main control and communication modules to a digital power path, configuring filtering units and isolation nodes; laying grounding copper foil and vias for the crystal oscillator, and configuring metal shielding structures for key modules; reading alarm signals based on the obtained configuration set and encapsulating them into alarm messages, uploading them via Bluetooth or 4G channels, receiving management results, and generating a terminal alarm processing status. This invention improves the anti-interference capability and alarm reliability of the water control terminal through event-driven board-level layout and power supply link isolation.

The invention discloses a relay adhesion detection circuit and method and an electric vehicle, and relates to the technical field of electric vehicles. The first end of a first sampling circuit of the circuit is connected with the first end of a first relay, and the second end is grounded; the first end of the second sampling circuit is connected with the first end of the second relay, and the second end is grounded; the first end of the third sampling circuit is connected with the second end of the first relay, and the second end is grounded. The first end of the fourth sampling circuit is connected with the second end of the second relay, and the second end is grounded. The first end of the fifth sampling circuit is connected with the second end of the first relay, and the second end is connected with the second end of the second relay; and the controller determines whether the first relay and the second relay are adhered or not according to a sampling result of the sampling circuit, a detection result of the ground impedance of the positive direct current bus and a detection result of the ground impedance of the negative direct current bus. By means of the scheme, the vehicle or the charging pile can be prevented from mistakenly reporting faults, so that a vehicle system is safer and more reliable.

A method, system, device, and readable storage medium for predicting leading-edge bulging cracks are disclosed, relating to the field of geological disaster monitoring and early warning. Specifically, the method includes determining the active thrust of the landslide on the leading edge based on the landslide mass weight, sliding surface dip angle, seepage hydrodynamics, and additional thrust, wherein the additional thrust is generated by external dynamic disturbance. When the detected active thrust is not less than the passive earth pressure limit, the target vertical bulging displacement is determined based on horizontal shear displacement, maximum dilatation angle, geometric correction factor for shear zone thickness, hydraulic correction factor, initial effective stress, real-time effective stress, and dilatation angle stress sensitivity factor. The predicted leading-edge bulging crack result is determined based on the target vertical bulging displacement and the predicted vertical bulging displacement. This application can improve the accuracy and applicability of leading-edge bulging crack prediction.

The present invention provides a method and system for fault detection of a motorhome energy storage system, belonging to the technical fields of new energy vehicles and intelligent detection. The method captures load start / stop operation instructions with timestamps in real time, and synchronously collects voltage and current signals at the output end of the energy storage system, strictly aligning the operation behavior and electrical dynamics on the time axis. Based on the load identifier in the operation instruction, a pre-stored feature template is retrieved, and the transient electrical features extracted in real time are subjected to spatio-temporal consistency verification with it, effectively distinguishing legal load startup from real system faults. When the verification fails, the similarity with the fault feature library is further calculated for risk assessment and hierarchical protection is executed. The corresponding system includes an operation instruction capture module, an electrical signal acquisition module, a central processing and synchronization module, a load fingerprint matching module, a fault risk assessment module, and a hierarchical protection execution module. The present invention significantly reduces the false alarm rate and improves the accuracy of fault detection and the continuity of system power supply.

The utility model belongs to railway safety monitoring technical field especially relates to a kind of redundancy formula railway unmanned crossing alarm system, active magnetic steel is respectively installed in the two sides of unmanned crossing, passive magnetic steel is respectively installed in the outside of active magnetic steel, the active magnetic steel and passive magnetic steel are all connected controller, controller connects alarm sounder;The control mainboard in the controller includes two circuits, passive magnetic steel control circuit and active magnetic steel control circuit, the passive magnetic steel control circuit includes passive magnetic steel input J1 and current-limiting resistance R1, passive magnetic steel input J1 connects current-limiting resistance R1, current-limiting resistance R1 connects isolation photocoupler U1, isolation photocoupler U1 connects alarm sounder;Adapter plate is additionally installed on the control mainboard in the controller, to match interface, passive magnetic steel control circuit is connected on adapter plate. Train is detected by active magnetic steel and passive magnetic steel, no matter high speed or low speed of train, low magnetic car body or under extreme weather conditions, alarm system will not occur missed detection.

The application relates to the technical field of gas concentration detection, in particular to a gas concentration detection method and system for a ring main unit; the method comprises the following steps: acquiring a concentration time sequence of a gas sensor in the ring main unit; constructing an instantaneous fluctuation coefficient; analyzing the instantaneous fluctuation coefficient and a gas physical diffusion limit rate constant to acquire an environmental interference factor representing the intensity of electromagnetic interference; acquiring an environmental interference curve, combining the environmental interference factor and an integral operation value of the environmental interference curve to acquire a dynamic adjustment parameter; obtaining a dynamic noise covariance for Kalman filtering; performing Kalman filtering processing on the concentration time sequence by using the dynamic noise covariance to obtain an optimal estimated gas concentration value. The problems of false alarms and missed detection in the gas concentration detection process are solved.

The invention relates to the field of equipment monitoring, in particular to a real-time monitoring method and device for low-temperature processing equipment, the equipment and a storage medium. The method comprises the following steps: performing core cavity operation monitoring and equipment health quantitative evaluation on the low-temperature processing equipment, and generating an operation state rating report; setting a dynamic replacement temperature threshold based on the operating state rating report; performing thermal imaging monitoring on the cutter in the cavity according to the thermal infrared imager, and constructing a temperature rise distribution diagram; performing temperature rise differential calculation based on the temperature rise distribution diagram, and outputting a dynamic correction curve; and on the basis of the dynamic replacement temperature threshold, performing cross identification on the dynamic correction curve, and when it is detected that the platform clock reaches the tool replacement time point, triggering a tool replacement early warning signal. Machining stability, equipment safety and cutter life management are improved.

The application discloses a kind of whole life cycle stability evaluation methods of cutting embankment slope, it is related to geotechnical engineering and slope stability evaluation technical field.The method includes: step one, using survey multi-source geological information to establish parameter probability distribution model;Step two, establish construction process numerical model, carry out pre-reliability evaluation;Step three, based on actual disclosure information, condition probability correction is carried out to parameter probability distribution;Step four, based on posterior distribution, recalculate reliability, dynamically optimize construction scheme;Step five, after construction, monitoring system is arranged;Step six, using monitoring data sequential update model state and parameter;Step seven, based on calibration model, predict time-varying reliability during operation under extreme working condition;Step eight, set graded early warning threshold, realize reliability and monitoring joint early warning;Step nine, according to early warning decision maintenance scheme, and feedback model after maintenance, cycle executes step six to step nine.

The utility model provides an exhaust device, an exhaust system and wafer processing equipment. The two ends of the air exhaust device are in fluid connection with a machining cavity of the wafer machining equipment and an air duct outside the wafer machining equipment respectively, and the air exhaust device comprises a first air exhaust pipe, a second air exhaust pipe and a third air exhaust pipe, the branch pipe is arranged at the communicating hole of the first exhaust pipe and is in fluid communication with the first exhaust pipe through the communicating hole, and the branch pipe is configured to be connected with the air pressure detector; and the second exhaust pipe is at least partially nested in the first exhaust pipe, the side wall of the second exhaust pipe at least covers the communicating hole, and a buffer gap is formed between the side wall of the second exhaust pipe and the side wall of the first exhaust pipe at the communicating hole, so that the situation that airflow carries machining dust to impact into the branch pipe is avoided. According to the technical scheme, the airflow speed at the branch pipe is remarkably reduced, vortex is effectively prevented, and dust deposition of the branch pipe and the pressure measuring air pipe is avoided.

The present application relates to the technical field of medical film, and particularly relates to a medical film quality detection system based on multi-parameter fusion, which comprises an acquisition module, a discrete determination module, an identification module, a risk determination module, an adjustment module and an early warning module. The present application takes a dynamic discrete coefficient as a trigger condition, analyzes the contribution of each process parameter to the current thickness fluctuation to identify the primary root cause, forms a quantitative process risk index by comprehensively considering the out-of-control degree of the root cause parameter and the thickness deviation, and according to the process risk index, an adjustment instruction with clear direction and strength suggestion can be sent, and the adjustment efficiency is evaluated after adjustment, early warning is given when the control loop fails or the problem escalates, and the problems of lagging quality defect discovery and blind and lagging process adjustment caused by the failure to quickly and accurately locate the process abnormal root cause in the complex multi-process coupling production process are effectively solved.

This invention discloses a method for online sodium ion monitoring in steam and water supervision, belonging to the technical field of steam and water quality monitoring in thermal power plants and large industrial boilers. This method is a graded monitoring approach for online sodium ion monitoring in steam and water systems. By setting differentiated monitoring strategies at key nodes and combining intelligent diagnostic algorithms with optimized operation and management measures, it achieves a shift from "post-event detection" to "pre-event early warning," improving the timeliness, accuracy, and reliability of steam and water quality supervision.

This invention relates to the field of water injection well detection technology, and particularly to a method and system for detecting anomalies in water injection wells. The method includes: acquiring multivariate historical time-series data of the water injection well under normal operating conditions, constructing a graph structure, and using the graph structure and the multivariate historical time-series data to construct a time-series graph data sample set; constructing a spatiotemporal graph attention network (STGAT) model; reconstructing the multivariate historical time-series data using the STGAT model, obtaining a reconstruction error sequence, and statistically distributing it to determine an anomaly judgment threshold; acquiring real-time operating data of the water injection well and constructing real-time time-series graph data, inputting it into the STGAT model to obtain reconstructed values, and obtaining real-time observed values; when the reconstruction error between the reconstructed value and the real-time observed value exceeds the anomaly judgment threshold, determining that the water injection well is in an abnormal state and issuing an early warning signal. This invention achieves early warning of latent early anomalies by integrating the physical coupling relationship between multiple parameters of the water injection well for spatiotemporal modeling and dynamic threshold determination.

An active protection method and system for internal faults in an on-load tap changer of a converter transformer includes: determining the start time of on-load tap changer operation and then extending the time interval; identifying ultra-high frequency (UHF) and high frequency (HF) pulse signals and discharge pulse times exceeding a set threshold within the extended time interval; identifying whether the on-load tap changer is adjusting a polarity-crossing or non-polarity-crossing tap position; determining the internal abnormality of the on-load tap changer based on the UHF and HF pulse signals and their pulse times during operation; and further issuing "general alarm," "serious alarm," or even "protection trip" signals based on the severity of the internal partial discharge detected by the UHF and HF signals. This invention fundamentally avoids false alarms and trips in monitoring or protection devices caused by discharge during normal tap changer operation. Furthermore, it achieves a leap from "passively preventing false operation" to "actively detecting faults," proactively preventing damage to the on-load tap changer itself or even transformer explosions caused by its faults.

This invention provides a dynamic networking anti-interference diagnostic method for GIS sensors based on the K-nearest neighbor algorithm, belonging to the field of power Internet of Things (IoT) communication technology. The method includes: collecting raw data of multi-dimensional communication link characteristics between GIS sensor nodes within a time sliding window of a set size and sliding step, and performing Z-score standardization; calling a dynamic anti-interference training sample library with online incremental learning and forgetting mechanisms; using an improved K-nearest neighbor classification model that incorporates a time decay factor, determining the current communication link status category in real time by calculating weighted Euclidean distance, employing an adaptive K-value selection strategy based on sample density, and using Gaussian kernel function weighted voting; and finally triggering targeted adaptive frequency selection networking strategies or hierarchical fault warning operations based on the determined category. This invention can effectively distinguish between environmental interference and hardware faults in strong electromagnetic environments of GIS, significantly improving the communication reliability and self-healing capability of wireless sensor networks.

The application discloses a safety monitoring method, device and equipment, a storage medium and a computer program product, and aims to solve the problem that the existing safety monitoring scheme has poor monitoring accuracy in a complex operation environment, unnecessary alarms may occur, the whole locomotive loses power, and the continuity and availability of railway transportation are affected. The method comprises the following steps: obtaining operation data and gas detection data of a hydrogen energy locomotive to be monitored; determining an alarm threshold corresponding to a current operation state according to the operation data; judging whether there is gas leakage based on the alarm threshold and the gas detection data; when the judgment result is yes, determining pressure data and to-be-monitored gas concentration data of a main pipeline and each branch pipeline in a hydrogen supply system based on a pipeline topological structure of the hydrogen supply system; and determining a leakage source position according to the pressure data and the to-be-monitored gas concentration data; and executing a hierarchical protection strategy according to the leakage source position and a leakage degree.

This utility model discloses a locomotive operation safety auxiliary device, relating to the field of locomotive operation auxiliary equipment. It includes an alarm circuit comprising a time-delay relay, a normally closed reset switch, and an alarm. The power supply of the time-delay relay is anti-interlocked with the zero-position contact of the driver's controller. The other end of the time-delay relay is connected in series with the normally closed reset switch and then connected to the locomotive's power supply. One end of the alarm is connected in series with the normally open contact of the time-delay relay, and the other end is connected to the locomotive's power supply. Compared with existing technologies, when this device is powered on, the time-delay relay enters a timing state. If the driver does not press the reset switch within the set time, an alarm bell is immediately triggered, using audible and visual signals to remind the driver to stay alert. When the driver is fatigued and slow to react or becomes inattentive, the set timing threshold can avoid false alarms due to short-term operational pauses and can quickly trigger audible and visual warnings in the early stages of driver drowsiness, effectively reducing operational risks caused by fatigue or distraction.

The invention discloses an automatic cleaning and maintenance control method and system for water quality monitoring equipment and a medium, and belongs to the field of water quality monitoring. The method comprises the steps that pure water generated by a built-in pure water production assembly of equipment serves as a measurement anchor point, and whether sensors are normal or not is judged on the basis of comparison results of detection numerical values of the sensors in a pure water environment and a preset pure water threshold value; monitoring operation state parameters of the pure water production assembly, and dynamically adjusting and updating the pure water threshold value corresponding to each sensor; when the value of the sensor deviates from the threshold value, first-stage pure water flushing is executed; if not, second-stage maintenance is started according to the sensor type, the optical sensor performs optical path self-cleaning or backwashing, and the electrochemical sensor performs electrode cleaning; and detecting again after maintenance, and locking the sensor and generating a fault alarm if the sensor is still not recovered. Through dynamic threshold configuration, progressive maintenance and sensor adaptive cleaning, the problems of reference drift and deep pollution are solved, the data credibility is improved, and the operation and maintenance cost is reduced.

The invention relates to the field of water area monitoring and early warning, in particular to a water area monitoring and early warning system and method. The system comprises a data acquisition unit, a data processing unit, an application unit and an early warning implementation unit. The method comprises the following steps: detecting a dangerous object target; a tracking mode and selected equipment are determined, and if only one detection target exists, a camera closest to the target is selected for key tracking and linkage; if the camera has an initial tracking task and a plurality of targets appear at the same time, starting a dynamic task allocation algorithm, re-evaluating the priority of the tracking task according to the features of the targets, performing task insertion, replacement or deletion, and displaying the moving speed and volume of the tracking targets in sequence; identification is carried out based on multi-dimensional parameter estimation obtained through tracking, a state identification matrix is established for parameter results of the camera, the radar, the liquid level meter and the sonar, when the radar or sound wave expelling equipment or the liquid level meter or the sonar gives an alarm, the camera automatically starts a video tracking function at the moment, and if the camera rechecks that the alarm really exists, the state identification matrix is established. At the moment, the alarm signal is actually generated in the application server; if the camera recheck alarm does not exist, the alarm signal is not generated in the application server; and expelling the target. The method is more accurate in identification, the dynamic disturbance degree is minimum, and system energy consumption can be saved to the maximum extent.

This invention belongs to the field of power distribution terminal security protection technology, specifically relating to a power distribution terminal security protection method and system based on data encryption. The method includes: generating communication data when the power distribution terminal's execution state is a preset normal operating state; encrypting the communication data to generate transmitted ciphertext; performing integrity and validity checks on the transmitted ciphertext, and determining that the transmitted ciphertext is abnormal data based on the check results, then classifying the abnormal data. This invention generates comparable nodes through symmetric computation and compares them numerically with integrity check nodes to identify abnormal data; performs preset format checks on the abnormal data, classifying it as delayed data or overload data; achieving accurate diagnosis of fault types, distinguishing between two different types of abnormal data caused by transmission delay and communication overload, and avoiding the problem of false alarms caused by ambiguous fault type determination in existing technologies.

The invention relates to the technical field of smart home, and particularly provides a smart home system for solving the problem that people living alone cannot be rescued in time after falling down in the prior art. In order to achieve the purpose, the intelligent home system comprises a first-aid device which can detect whether a person falls down or not; the intelligent household electrical appliance can carry out voice communication with personnel; the intelligent door lock is arranged on the entrance door; the intelligent camera is arranged on the entrance door and can shoot the scene outside the entrance door; after detecting that the person falls down, the smart home system can call for help to a hospital; and after the help calling signal is sent out, when the intelligent camera detects that the emergency personnel exist outside the entrance door, the intelligent door lock can automatically open the entrance door according to the door opening instruction received by the intelligent household electrical appliance, so that the emergency personnel enter the home for treatment. Especially when the person living alone cannot open the door alone due to falling down, the rescue personnel can enter the home for rescue.

This disclosure relates to a full-process processing method for fiber optic composite ground wires, including: a design stage where a design database is established, the structure and processing technology of the fiber optic composite ground wire are determined based on the database, and auxiliary optimization design is performed; a manufacturing stage where multiple attribute parameters of the fiber optic composite ground wire are monitored to improve quality; an operation stage where the fiber optic composite ground wire is monitored under extreme low-temperature conditions to obtain initial data; the original health indicators are input into a pre-trained health and status recognition model to obtain the status recognition results of the fiber optic composite ground wire; and an early warning is issued based on the status recognition results. The technical solution of this application improves design quality, provides early warning during the operation stage, and is beneficial for extending the lifespan of the fiber optic composite ground wire.

This invention relates to the field of audio structure technology and discloses an airport terminal audio device, including a cabinet with an abutment ring at its bottom edge and an audio unit installed inside. It also includes at least two sets of clamping structures and a deformation monitoring component. The clamping structures are evenly distributed in a ring around the cabinet and collectively fix the cabinet in mounting holes in the ceiling. The deformation monitoring component includes a contact rod, an elastic element, and an alarm component. After the clamping structures fix the cabinet, the end of the contact rod contacts the top plane of the ceiling. The elastic element is configured to provide an initial elastic force towards the ceiling to the contact rod, causing the end of the contact rod to abut against the top plane of the ceiling. This invention allows for long-term, real-time monitoring of ceiling deformation without additional construction, enabling staff to identify in advance which installation points have experienced excessive deformation, facilitating predictive maintenance.

The application relates to the technical field of remote sensing image processing and intelligent supervision of construction engineering, in particular to a construction activity compliance analysis and early warning system based on remote sensing images, which comprises the following modules: a multi-source monitoring data access module, which constructs a basic data pool for compliance monitoring; an expected state deduction module, which generates an expected projection benchmark representing a legal construction state at the moment; a spatial deviation correction module, which eliminates false deviations caused by sensor positioning jitter and locks an actual monitoring coordinate system; a multi-dimensional consistency identification module, which analyzes the residual error of a building shadow and identifies a concealed illegal feature; and a hierarchical early warning evaluation module, which quantifies a geometric compliance index, automatically triggers and outputs an illegal alarm signal; the application effectively avoids the ill-posed inversion problem with a huge amount of calculation in a traditional three-dimensional reconstruction scheme, and greatly reduces the required computing resources for system operation.

The utility model provides a sound-light alarm and voice prompt device, and relates to the field of sound-light alarm. The sound and light alarm device comprises a case, a sound and light alarm module is arranged in the case, and an electrical connection assembly of the sound and light alarm module comprises a signal filtering assembly, a signal processing assembly, a light alarm assembly and a voice alarm assembly which are connected in parallel and form a loop with a power supply. According to the utility model, acousto-optic integrated alarm can be carried out on faults, and corresponding voice alarm can be carried out according to different fault types, so that workers can know the fault types in a short time when the faults occur, thereby effectively improving the fault elimination efficiency of the workers. Meanwhile, interference signals can be filtered, false alarm is avoided, and an indicating lamp is arranged to provide graded early warning and remind workers of fault early warning.

The invention discloses a vehicle controller upgrading optimization method and system, a vehicle and equipment. The upgrading optimization method for the vehicle controller comprises the following steps: after an upgrading request of a target controller is received, controlling a vehicle to enter a diagnosis upgrading state; receiving a function addressing instruction sent by the TBOX or the local diagnostic instrument, and determining a first domain controller according to the function addressing instruction; in the upgrading process, the central domain controller is forbidden to send a communication control service, and diagnosis fault recording functions of the first domain controller and a subordinate controller of the first domain controller are closed; and judging whether the upgrading process affects the function execution of the target controller or not, and if yes, forbidding the second domain controller to carry out diagnosis fault recording on the function. By adopting the method and the device, in the upgrading process, the fault recording diagnosis function of the controllers in the same region is closed, and the functions of the controllers in other regions are allowed to work normally when the functions of the controllers work abnormally, so that fault misinformation can be avoided, meanwhile, function interruption is prevented, and the system efficiency is improved.

This invention discloses a digital twin-based intelligent slip ring health management method and system, relating to the field of electromechanical systems technology. The method includes: acquiring a twin model based on digital twins; acquiring twin simulation parameters and obtaining fault evolution links based on fault simulation results; using link analysis to obtain fault management methods; and performing health management on the intelligent slip ring based on the latest fault management methods corresponding to real-time management faults. This invention addresses the problem that existing intelligent slip ring health management methods cannot analyze fault chains, leading to an inability to effectively predict and manage potential hazards caused by faults. This results in only passive monitoring and post-event remediation of faults, without the ability to proactively predict faults, thus causing false alarms and missed alarms.

This application discloses a method, apparatus, device, medium, and product for detecting helmet occlusion. This disclosure relates to the field of target detection technology. The method includes: acquiring a video frame of a construction area at the current moment; inputting the video frame of the construction area at the current moment into a pre-trained helmet detection model to obtain a helmet detection result at the current moment; if the helmet detection result at the current moment indicates that the target object is not wearing a helmet, performing a secondary verification on the helmet detection result at the current moment; if the secondary verification result indicates that the target object is wearing a helmet, then updating the helmet detection result at the current moment to indicate that the target object is wearing a helmet and the helmet is occluded. In the above technical solution, by performing a secondary verification on the detection result of the target object not wearing a helmet, the detection of helmet occlusion is achieved, improving the detection accuracy of whether the object is wearing a helmet and avoiding false alarms.

The application discloses an authentication method for verifying data individual integrity based on a watermark technology, which independently verifies the integrity of each data item, and can reduce the probability of misjudgment of data and improve the performance of data integrity verification when verifying at the receiving end after data transmission through a wireless channel. Based on the watermark method of a single data item, a corresponding watermark value is generated for each data, and the generated watermark value is embedded into the carrier data. Therefore, the scheme can effectively detect tampering attacks, reduce the overall missed detection rate of tampering attacks, and avoid false alarms. Compared with other individual data verification schemes, the scheme has higher data tampering identification capability. In addition, the data individual does not need a flag bit and a buffer area, thereby reducing communication overhead and saving network resources.