8508 results about "Storage cell" patented technology

A data-driven dynamic energy management system for the adaptive coordination of renewable and conventional energy sources, consisting of: a processing unit configured to perform real-time calculations to optimize the generation, storage, and distribution of electrical energy by continuously analyzing operational data, forecasting future energy demand, and generating control instructions to match available generation resources with forecasted consumption demand; a storage unit connected to the processing unit, configured to store records of historical energy production and consumption, environmental data, operating thresholds and learned model parameters, and to provide said data as input for the forecasting and optimization routines performed by the processing unit; a multitude of IoT-based monitoring units, each comprising at least one sensor configured to measure instantaneous parameters of generation, storage level, consumption rate and environmental conditions, with each monitoring unit being configured to periodically transmit measurement packets to the processing unit via a secure communication network; a forecasting unit implemented in the processing unit, configured to process historical and real-time data to create forecast curves for demand and generation using statistical and probabilistic forecasting techniques, and to dynamically update the weights of the forecasting model in response to observed deviations between forecasted and actual output; an optimization control unit implemented in the processing unit and configured to evaluate the outputs of the forecasting unit together with current operational data to determine a set of optimized control variables representing the target generation contribution of each energy source, and to pass these targets to a lower-level controller for execution; a controller that is communicatively connected to the processing unit and the multiple energy generation sources and is configured to regulate the operation of each source by adjusting the activation state, output level and operating priority based on the control signals received from the processing unit; an energy storage management unit comprising at least one battery array and a power conditioning circuit, configured to receive control instructions from the processing unit, store excess generated energy, release stored energy when forecasted demand exceeds available generation, and report charging and discharging characteristics in real time to the processing unit for continuous recalibration; an alarm and notification control unit connected to the processing unit, configured to continuously compare storage levels and generation reserves with stored operating thresholds, trigger predefined responses when critical or abnormal conditions are detected, and transmit acoustic, visual, and digital remote alerts to designated operators; a user interface terminal connected to the processing unit, configured to display real-time generation statistics, demand forecasts, energy storage status, and system alerts, and to accept operator-defined parameter inputs that are transmitted to the processing unit for recalibration of forecast or optimization parameters; and a secure server interface configured to synchronize operational logs, learning data, and performance indicators with a remote monitoring or analysis server for centralized monitoring, long-term data analysis, and distributed decision support.

The present invention discloses a system and method for secure artificial intelligence-based financial technology governance and risk management, designed to provide real-time, autonomous, and verifiable compliance assurance within digital financial ecosystems. The invention integrates a secure artificial intelligence processing unit, a governance control processor, a cryptographically anchored storage unit, a federated learning coordination processor, and a quantum-resistant communication interface enclosed within a tamper-proof hardware structure. The system performs encrypted machine learning computations on financial transaction data using homomorphic encryption and trusted execution environments to preserve confidentiality during analysis. It computes a governance risk index based on probabilistic inference and anomaly detection to identify regulatory deviations, applies adaptive compliance reasoning across multi-jurisdictional frameworks, and automatically enforces governance actions through secure decision logic.

The invention relates to the technical field of artificial intelligence, and discloses an enterprise-level large-model agent application system supporting multi-modal collaboration, and the system comprises a user interaction terminal, an agent engine server, a knowledge engine server, a plug-in integration center, and a distributed storage unit. The agent engine server is responsible for intention recognition and task arrangement of a multi-modal input signal, and dynamically loads a differential reasoning strategy based on an environment isolation mechanism. And the knowledge engine server constructs a cross-modal semantic anchor point, analyzes an unstructured document into a tetrad knowledge unit, and realizes accurate recall of images and texts by using a hybrid retrieval algorithm. And the plug-in integration center executes outbound replacement and inbound restoration of the sensitive data through the context-aware dynamic desensitization gateway. According to the method, through a multi-modal semantic association and closed-loop verification mechanism, the problems of low complex document retrieval precision and leakage of external calling data are solved, and the service processing capacity and safety of the system are improved.

The invention relates to an intelligent metering box monitoring method, system and device and a storage medium, and the method comprises the steps: continuously collecting the operation data of an intelligent metering box in an offline state of the intelligent metering box, carrying out the abnormal trend recognition of the operation data through combining with a pre-trained edge side abnormality recognition model, and obtaining a local judgment result; abnormal record data are generated according to the local judgment result, the abnormal record data are cached in a local storage unit, and the abnormal record data comprise fault types, timestamps and index values; generating a communication connection request signal under the condition that the communication connection condition is met, and controlling the communication channel to establish network connection according to the communication connection request signal; and after the communication response is received, collecting the network signal strength, and uploading the abnormal record data to a remote management platform based on the network signal strength. The intelligent metering box has the effect of improving the monitoring reliability of the intelligent metering box.

A non-volatile memory device for performing compute in memory operations for a neural network uses a three dimensional NAND architecture. Multi-bit weight values are stored encoded as sets of threshold voltages for sets of memory cells. A weight value is stored in multiple memory cells on the same word line and connected between a bit line and a source line, each of the memory cells programmed to one of multiple threshold voltages. When multiplying an input value with the weight value, the word line is biased so that, for at least one of the threshold voltages, the memory cell will be in the linear operation region. Input values are encoded as a set of one or more voltage levels applied to a corresponding set of bit lines, each bit line connected memory cells also storing the weight value, connected to the word line, and connected to the source line.

A high-density ferroelectric memory, and a preparation method therefor and an application thereof, belonging to the field of semiconductor memories. In the memory, multiple memory cells are arranged in an array, and the two sides of the array of the memory cells are connected to substantially orthogonal word lines and bit lines, the memory cell of the present invention adopts a stacked structure of a top electrode, a resistive switching dielectric layer, an intermediate metal layer, a ferroelectric dielectric layer, and a bottom electrode, which is electrically equivalent to a ferroelectric capacitor and a resistive switching selector connected in series; the voltage division of the distributed ferroelectric capacitor in the unselected cells is reduced by regulating the RC delay of the memory cell, so that its disturbance is reduced; and the capacitance value of the ferroelectric capacitor is stable, and the influence of the disturbance voltage can be effectively reduced by RC regulation. The storage window of the memory is improved and the bit error rate is reduced, without increasing additional area overhead.

The invention provides an enterprise security management method and system based on AI, and relates to the technical field of security management, and the method comprises the steps: configuring a storage path and authority of a data storage unit, and initializing operation parameters of a calculation processing unit; acquiring images and / or video streams of the enterprise security control key area in real time; the real-time data is preprocessed; analyzing the preprocessed image and / or video stream by using the trained AI model, and identifying a preset target and action features thereof in enterprise production operation; comparing the recognized preset target and the action characteristics thereof with a preset early warning rule, and when the deviation exceeds a dynamic deviation threshold value, judging that the action is a wrong action, generating an early warning event and triggering an alarm mechanism; according to the method, data related to an early warning event is stored and examined, an optimization model and rules are fed back through an examination result, a security risk trend is analyzed, improvement suggestions are generated, and intelligentization, precision and high efficiency of enterprise security management are realized.

The invention discloses a memory, a manufacturing method thereof and electronic equipment. The memory comprises a first semiconductor structure, and the first semiconductor structure comprises an active column row, a word line, a data storage unit and a first contact plug. The active column row comprises a plurality of active columns extending in the first direction and arranged in the second direction, the active columns comprise first active columns located in a first area and second active columns located in a second area, the second area is located on at least one side of the first area in the second direction, and the second direction is perpendicular to the first direction; a word line extending in the second direction in the first region and the second region, and coupled with a plurality of active pillars in the active pillar row; the data storage unit is positioned on the first side of the first active column in the first direction and is coupled with the first active column; the first contact plug is located in the second area and is coupled with the word line. The orthographic projection of the first contact plug along the first direction is overlapped with the orthographic projection of the second active column along the first direction.

A mobile security robot includes a human-sized mannequin mounted on a vehicle. A storage unit, mounted on the vehicle, stores security devices and high-powered energy storage devices for facilitating extended patrols without recharge. A video recording system, disposed in the mannequin, continuously records images of a patrol area. Multiple sensors mounted on and proximal to the mannequin generate sensor data based on environmental conditions of the patrol area. A computing system coupled to the sensors processes the sensor data using artificial intelligence models and generates action commands for execution of tasks by actuators including electric motors, robotic arms, and supplementary attachment devices. The electric motors run the vehicle at different speeds with wheel speed feedback based on the environmental conditions and navigate the vehicle along a predefined travel path with object avoidance during patrols. User interface devices facilitate auditory and visual communication with humans in the patrol area.

The invention provides a synthetic antiferromagnetic memory cell driven by spin orbit moment without magnetic field assistance, and belongs to the technical field of magnetic memory, the synthetic antiferromagnetic memory cell comprises a magnetic tunnel junction of a multilayer film structure, the magnetic tunnel junction comprises a heavy metal layer and a synthetic antiferromagnetic free layer located on the heavy metal layer; the tunneling insulating layer is located on the synthetic antiferromagnetic free layer, the reference layer is located on the tunneling insulating layer, and the metal electrode layer is located on the reference layer; wherein the synthetic antiferromagnetic free layer comprises an inclined vertical magnetic layer, a non-magnetic metal layer and a coupling magnetic layer which are stacked in sequence, and the inclined vertical magnetic layer and the coupling magnetic layer are subjected to antiferromagnetic coupling through the middle non-magnetic metal layer; the inclined perpendicular magnetic layer has inclined perpendicular anisotropy. According to the invention, deterministic magnetization flipping driven by spin orbit moment and resistance state control of the magnetic tunnel junction memory cell without the assistance of an external magnetic field are realized.

According to the storage and calculation integrated chip architecture, the chip stacking packaging structure and the terminal equipment, physical tight coupling of storage and calculation is realized through the 3D stacking design of the first storage unit and the logic calculation unit, the problem of physical separation of traditional storage and calculation is solved, the data carrying distance and the cross-chip communication overhead are remarkably reduced, and the communication efficiency is improved. And the chip area and the packaging process complexity are reduced, and the application scenarios of end-side artificial intelligence reasoning and mass data reading and writing are supported. According to the storage and calculation integrated chip architecture, the first storage unit and the logic calculation unit are directly interconnected through the vertical interconnection technology, the data access delay is reduced, the requirement of end side equipment for low delay is met, and the energy efficiency ratio of the storage and calculation integrated chip architecture is remarkably reduced.

Disclosed are a memory device and a control method thereof. The memory device may be a high-capacity and high-performance three-dimensional NAND flash memory. The control method includes the following steps. Data for performing a programming operation on a specific memory cell area is obtained. A number of memory cells in a predetermined potential state in the data are counted as a first number value. The programming operation is performed on the specific memory cell area based on the data. A read operation is performed based on a reference voltage corresponding to the predetermined potential state. A number of memory cells in the predetermined potential state in the specific memory cell area after the programming operation are counted as a second number value. Whether the specific memory cell area has program disturbances is determined based on the first number value and the second number value.

The invention discloses a high-density NAND storage medium self-adaptive repairing method which comprises the following steps: a main control chip separates a target feature vector representing the real aging trend of a storage unit from original read data containing random physical noise; the main control chip deduces the target feature vector by using a full-integer recursive prediction model to obtain a health state prediction result of the storage unit in a future preset time period; wherein the health state prediction result comprises an optimal read reference voltage offset and an estimated bit error rate growth curve; and the main control chip adjusts the charge distribution pattern and programming voltage parameters of the data on the storage unit in the data writing stage according to the health state prediction result. By means of the mode, the problems of firmware assembly line blocking and performance jitter caused by floating point operation and huge model parameter loading can be solved under the limited hardware environment that the main control chip only supports integer operation and on-chip cache is extremely small.

The invention relates to the technical field of power system monitoring, in particular to a power distribution terminal fault monitoring system and method. The dual-channel acquisition module is used for acquiring two analog quantities of a power distribution room and mapping the two analog quantities into a power grid environment characteristic matrix; the cyclic mapping module is used for carrying out decoupling operation and generating a noise separation feature vector; constructing a background noise dynamic reference based on the noise separation feature vector, and generating a judgment boundary threshold; performing cyclic increasing and resetting in the fault recall storage unit through a write-in pointer to form a terminal state data stream; the fault judgment module is used for comparing the amplitude of the noise separation feature vector with a judgment boundary threshold value and generating a fault locking instruction; and based on the fault locking instruction, generating a termination signal, freezing the write pointer, and extracting the partial discharge data file from the terminal state data stream. According to the method, a closed-loop monitoring system in which the environment self-adaptive reference and signal feature decoupling support each other is constructed, and a fault backtracking sample with time-space alignment and complete logic is provided.

The invention relates to the technical field of concrete curing, in particular to a concrete curing environment control system with intelligent temperature control and humidity adjustment functions. Comprising a data acquisition and storage unit; the regulation and control decision-making unit is used for calculating a deviation value between the current environment and a target maintenance condition through an improved sectional type PID (Proportion Integration Differentiation) regulation algorithm; a temperature and humidity execution unit; and a man-machine interaction unit. According to the invention, through the distributed air temperature and humidity sensor array and the embedded temperature sensor in the concrete, the air temperature and humidity of the curing space and the internal temperature data of the concrete are collected, and the initial setting stage, the final setting stage and the hardening stage are judged based on the internal temperature change rate and the internal surface temperature difference; the PID parameter adjustment interval corresponding to the concrete mark is called in combination with the stage, smooth parameter switching is achieved, in the concrete curing scene, the heat release rate and strength development requirements of different hydration stages can be accurately met, and the situation that a regulation and control strategy is disjointed with the actual concrete curing requirement is avoided.

According to the data center evaporation cold total heat recovery double-energy-storage air conditioning system and the control method, the obvious energy efficiency improvement and economic optimization effects are achieved, the future server heat load, environment parameters and electricity price changes are accurately pre-judged through a composite prediction model of the central control module, and the real-time charge state of the double-energy-storage module is combined, so that the energy efficiency is improved. A collaborative operation instruction with the optimal cost is generated; by means of deep coupling of the evaporative cooling module and the total heat recovery module, a natural cold source is utilized to the maximum extent, and the running time of a conventional refrigeration module is shortened; through cooperative scheduling of the cold energy storage unit and the heat storage unit, efficient cold / heat storage is achieved in the electricity price valley value period, stored energy is released preferentially in the peak value period, and frequent starting and stopping of equipment are avoided; and on the basis of the multi-dimensional constraint optimization decision model, the total operation cost is minimized on the premise that the system meets the safety temperature and humidity requirements of the data center.

A charger assembly 10 for charging an energy storage unit associated with an elevator is provided. The charger assembly includes a first charger unit 20 mechanically coupled to an elevator column 30. The first charger unit is adapted to tap voltage from a power source. The first charger unit interconnects a first block 40 and a second block 50. The first block includes at least two slots 60 adapted to interlock with at least two projections 70 provided on the second block. The charger assembly also includes a second charger unit 80 electrically coupled with the first charger unit and mounted on a guide bracket 90 associated with a cabin of the elevator. The second charger unit includes a plurality of pins 100 adapted to receive the voltage tapped by the first charger unit to charge the energy storage unit associated with the elevator.

The invention discloses a shader task execution method and device, equipment, a medium and a product, and relates to the field of graphic processing. The method comprises the steps that a first shader executes a first shader task; under the condition that execution of a first subtask in the first shader task is completed, the execution result of the first subtask is written into a first storage unit, and a first instruction is sent to a controller; under the condition that a second sub-task in the first shader task is executed, a second sub-task execution result is written into a second storage unit, and the second sub-task is executed after the first sub-task is executed; the controller obtains a first subtask execution result from the first storage unit, generates a second shader task and sends the second shader task to a second shader; and the second shader reads the second subtask execution result from the second storage unit, and executes the second shader task based on the second subtask execution result to obtain a second shader task execution result.

The invention discloses a multi-agent collaborative application big data management system and method. The system comprises a data acquisition unit, a data preprocessing unit, a multi-agent collaborative processing unit, a data storage unit and a data scheduling unit. The data acquisition unit is used for acquiring multi-source heterogeneous original big data and transmitting the multi-source heterogeneous original big data to the data preprocessing unit; and the data preprocessing unit is used for executing preprocessing operation including de-duplication and format standardization on the original big data. The invention relates to the technical field of big data management. According to the multi-agent collaborative application big data management system and method, through a multi-agent collaborative algorithm, the system can realize a self-adaptive data classification and optimization strategy, a data processing mode is dynamically adjusted, the processing efficiency problem of a traditional static rule during data mode fluctuation is improved, and the data processing efficiency is improved. The system adopts a dynamic resource scheduling strategy based on a data access demand and a system load, efficiently distributes calculation and storage resources, and facilitates priority processing of high-priority tasks.

The invention discloses a quality control and real-time supervision system for pile foundation concrete, which comprises a data storage unit and a man-machine interaction terminal, and is characterized by further comprising a supply and demand matching module, a detection distribution module, a quality monitoring module and a plurality of detection units bound with unique detection numbers. Through automatic supply and demand matching of a pile foundation project and a stirring station and random distribution of the detection units, bidirectional real-time detection of delivery and entry of concrete can be realized to prevent unqualified concrete from flowing into a pile foundation construction site, and meanwhile, automatic judgment and sending of different warning information can be realized, so that the construction efficiency is improved. Therefore, different responsible subjects can be reminded to check the quality safety risk of the concrete in time and take corresponding control measures.

The invention provides an aerosol simulation system, and the system comprises a micropump array which is used for extracting raw materials in a raw material storage unit, and forming a mixed solution; the micropump array comprises a first micropump and at least one second micropump; the raw material storage group comprises a first raw material storage unit and at least one second raw material storage unit; the control module can control the micropump array to extract a first raw material of the first raw material storage unit at a first pumping speed and extract a second raw material of the second raw material storage unit at a second pumping speed; the atomization module is used for carrying out atomization treatment on the mixed liquid to form aerosol and adjusting the temperature and humidity of the aerosol; and the first pumping speed and the second pumping speed in the control module are adjusted according to the physicochemical properties. The chemical component concentration and physical parameters of the output aerosol are dynamically changed in real time so as to simulate the whole life cycle of a real cigarette from ignition to extinguishment.

The invention discloses a simulator supporting multiple debugging permissions. According to the embodiment of the invention, the simulator supporting multiple debugging permissions comprises a simulator management module which comprises a configuration unit, and the configuration unit is used for configuring the debugging permissions; a storage unit of the simulator hardware module is divided into a safe area and a non-safe area; the security area is used for storing security data, the non-security area is used for storing non-security data, and the debugging permission comprises a security mode and a limited mode; in the security mode, allowing access to the security area and the non-security area; and in the limited mode, the access to the safe area is prohibited, and the access to the non-safe area is allowed. According to the emulator supporting the multiple debugging permissions, debugging requirements of different security levels can be effectively distinguished, and flexible access control is provided for development and maintenance while data security is guaranteed.

To verify the identity and non-alteration of a document prepared in relation to a prescribed activity or operation by a qualified person in a certain site or organization in another site or organization.SOLUTION: A system according to claim 1, further comprising: a first device configured to execute a process of acquiring biometric information; and a second device configured to execute a process of performing biometric authentication using the biometric information and a process of determining whether or not a person authenticated as the principal is qualified to perform a predetermined activity or an operation, wherein the first device performs an authentication process on a document created in relation to the predetermined activity or the operation of the person determined to be qualified by the second device. The information processing apparatus further includes a third apparatus that further executes a process of creating a signature using the biometric information for signature of the individual and executes a process of registering the document and the signature created by the first apparatus in a first storage unit, and a fourth apparatus that executes a process of verifying correctness of a set of the document and the signature registered in the first storage unit of the third apparatus using a public key for verifying the signature.SELECTED DRAWING: Figure 1

The invention provides a QLC NAND interference compensation control method and system, and the method comprises the steps: collecting adjacent unit voltage offset data of a target storage unit through an on-chip reference unit array integrated on a QLC NAND flash memory chip; performing feature extraction on the data to obtain interference feature parameters including at least one of voltage drift amplitude, drift rate and drift fluctuation frequency, and inputting the interference feature parameters into a pre-trained lightweight decision tree model to output an interference trend prediction result, a programming parameter optimization strategy is generated based on the result, the pulse width and the step voltage increment are optimized, meanwhile, fine adjustment of model parameters is triggered by collecting programming verification data after each time of optimization, dynamic accurate compensation of memory cell interference under the high write-in load of the QLC NAND flash memory is achieved, programming voltage drift is effectively restrained, and the reliability of the QLC NAND flash memory is improved. The adaptive capacity of the writing algorithm is improved, and the overall service life of the flash memory is prolonged.

The invention is suitable for the field of communication technology improvement, and provides an encryption communication method and system used between EtherCAT slave station nodes, an OTP / nonvolatile storage, an encryption scrambling unit and a decryption descrambling unit are integrated in an EtherCAT slave station chip of a coupler and an I / O module, and encryption / decryption of an EtherCAT message is achieved on the hardware level; xOR operation or an AES algorithm is adopted for encryption, and a secret key is stored in an unmodifiable storage unit; and meanwhile, a parallel architecture of an encrypted network and a standard network is constructed, so that the standard interaction between the slave station node and the master station is not influenced by encrypted communication. The system solves the contradiction of poor real-time performance of a private protocol and easy plaintext communication plagiarism in the prior art, realizes the effects of no real-time performance loss, strong communication exclusiveness and flexible compatibility, and is suitable for an EtherCAT high-speed backplane bus system under industrial 4.0.

The invention provides an MCU function security implementation system based on a domain controller, and relates to the technical field of domain controllers, the system realizes dual backup storage and on-site execution of program codes by combining a security MCU without a built-in program memory with at least two redundant plug-in nonvolatile storage units, and the security of the MCU is improved. Consistency verification is carried out on key codes or data in the running process, and system failure caused by single-point storage faults or data tampering is effectively prevented; meanwhile, read-write operation without losing data during power failure is isolated through the independent data storage unit, and resource conflict and interference between program execution and data storage are avoided; the ASIL D-level power management unit supporting two-way fault monitoring is matched, resetting can be triggered in time or the MCU enters a safe state when a power supply is abnormal or an MCU internal fault occurs, and therefore a high-reliability and high-safety domain controller MCU system is constructed on the hardware architecture level, and the capacity of the MCU for meeting the ASIL D function safety level in a plug-in storage scene is improved.

The invention provides a memory, an operation method of the memory and a memory system, and relates to the technical field of semiconductor chips. The memory comprises a memory array and a peripheral circuit coupled to the memory array, the memory array comprises memory blocks, and the memory blocks are coupled to the peripheral circuit through word lines. Wherein the storage block comprises a programmed storage unit and an unprogrammed storage unit, and the programmed storage unit comprises a first storage unit and a second storage unit. The peripheral circuit is configured to: perform a program operation on a third memory cell in the memory block, and apply a first voltage to a first word line coupled to the first memory cell at a first stage of a channel preparation stage of the program operation; and applying a second voltage to a second word line coupled to the second memory cell. Wherein the first word line is located between a third word line coupled with the third storage unit and the second word line, and the first voltage is larger than the second voltage.

The invention discloses an enterprise training evaluation system and method fusing RAG and an intelligent agent, and belongs to the technical field of training evaluation of artificial intelligence. The system comprises a computing node, a storage unit, a network interaction unit, a document vectorization processing module, a dynamic question setting module, a real-time semantic scoring module, a training effect visualization module and a learning recommendation module. The method comprises the steps of document preprocessing, dynamic question setting, real-time scoring, effect visualization and learning recommendation. Through deep fusion of RAG retrieval and agent decision, personalized question setting, multi-dimensional instant scoring, long-term knowledge state tracking and early warning and personalized learning recommendation based on student knowledge states are realized, and an evaluation-feedback-optimization closed loop is formed. According to the method, the question setting pertinence, the scoring accuracy (up to 92.3%) and the training efficiency (compressing the training time by 40%) are remarkably improved, and the method is suitable for various enterprise training scenes.

The invention relates to the technical field of cloud storage, can be applied to business system platforms of financial science and technology, medical treatment and health and the like, and discloses a hierarchical storage method, device and equipment for data files and a medium, and the method comprises the following steps: acquiring the data files in a storage unit, and extracting data characteristic parameters in the data files; performing multi-dimensional quantitative analysis on the data feature parameters to obtain a dimensional feature analysis value; identifying a dynamic weight of the data feature parameter, and performing weighted calculation on the data feature parameter according to the dimension feature analysis value and the dynamic weight to obtain a dynamic storage analysis value; identifying a data storage type label according to the dynamic storage analysis value; matching the data storage type label with strategies in a storage strategy library to obtain a target storage strategy; determining a storage hierarchy according to the target storage strategy; a storage address of the data file in the storage hierarchy is identified and the data file is stored in the storage address. The accuracy of hierarchical storage of the data files can be improved.

The invention provides a security information reading method and device. The security information reading method comprises the steps of obtaining a current life cycle corresponding to a target chip under the condition that a reading request of reading security information of the target chip is received; a target reading position is selected from a first storage unit and a second storage unit according to the current life cycle, the first storage unit is used for storing safety information injected into a target chip after the chip leaves a factory, and the second storage unit is used for storing safety information injected into the target chip during chip design and production; and reading the target security information stored in the target reading position. By means of the safety information reading method, the probability of potential safety hazards existing in a factory chip is reduced.