405 results about "System protection" patented technology

The invention provides a big data bamboo tableware manufacturing system based on production process monitoring, and relates to the field of intelligent detection systems.The big data bamboo tableware manufacturing system comprises an acquisition module, a prediction module, a preliminary distribution module, a disturbance response module, an optimization decision module and an abnormity self-inspection module. A dynamic stability index is calculated in combination with a dynamic image sequence under disturbance response, a rejection target is judged through an optimization decision-making module after scores are fused, a Bayesian method is introduced in the optimization process to dynamically adjust multiple decision-making parameters, a rejection action instruction is generated in real time, and an abnormity self-checking module monitors the rejection rate and score stability. Software and hardware signals are combined to realize multi-level fault diagnosis and system protection control; according to the invention, high-precision identification and dynamic elimination of bamboo tableware defects are realized, and the automation level and the production reliability are improved.

An automatic control system of an air source heat pump analyzes collected multi-dimensional operation parameters in real time based on a machine learning algorithm, constructs a high-precision thermal load prediction model, predicts thermal load requirements in the future 1-24 hours, controls prediction errors within 5%, and achieves minimization of energy consumption and maximization of heat storage efficiency on the premise of meeting operation constraints. The overall energy consumption is reduced by 15%-25% compared with that of a traditional system, the heat loss is reduced by dynamically adjusting the flow of a heat storage medium and optimizing the thermodynamic process of heat storage and heat release, and the heat storage efficiency is improved by 10%-15%. According to the invention, the advanced machine learning algorithm is adopted through the big data analysis module, the multi-dimensional operation parameters are analyzed in real time, a high-precision thermal load prediction model is constructed, the thermal load demand in the future 1-24 hours is predicted, and the prediction error is controlled within 5%.

The invention provides a photovoltaic power station anti-islanding protection method, device and equipment and a storage medium, and relates to the technical field of power system protection. The method comprises the following steps: controlling an inverter of a photovoltaic power station to continuously inject a disturbance signal into a photovoltaic grid-connected system, and monitoring power measurement data of a grid-connected point after the disturbance signal is injected; when the electric power measurement data exceed a preset threshold range, determining that the electric power measurement data is abnormal; determining an abnormal duration in combination with historical power measurement data; and if the abnormal duration is greater than the abnormal duration threshold, the grid-connected switch is controlled to be switched off, and anti-islanding protection of the photovoltaic power station is realized. According to the method, the disturbance signal is actively injected, the detection sensitivity is remarkably improved, the abnormal duration is analyzed in combination with historical data, the islanding effect and instantaneous fluctuation are effectively distinguished, misjudgment is reduced, the islanding detection precision is remarkably improved, it is ensured that the islanding effect can be recognized and processed timely and accurately, and the islanding detection efficiency is improved. And the safety and the reliability of the operation of the photovoltaic power station are further enhanced.

A protective case and mounting system for a handheld electronic device is provided. The protective case can include a removable mounting system comprised of an interlocking member and a plurality of mounting bases. The protective case may further include a non-slip member to prevent the device from slipping on a surface and a magnet for attaching the device to a magnetic surface.

The invention relates to an energy storage system protection method and device, an energy storage system, equipment and a storage medium. The method comprises the following steps: acquiring a first communication state from a monitoring background to a system controller in the energy storage system, a first communication state from each battery management controller to the monitoring background, and a first communication state from each battery management controller to the monitoring background through the system controller; if at least one first communication state indicates that the energy storage system has a communication fault, executing a processing action corresponding to the communication fault; wherein the processing action comprises stopping the operation and maintaining the current state. According to the invention, the risk of information loss can be reduced, and the stability and reliability of the energy storage system are improved.

The invention discloses a flexible direct current power grid wide-area safety protection method and system with accessible network construction equipment, belongs to the field of multi-terminal flexible direct current system protection, and solves the problems that an existing multi-terminal flexible direct current system is complex in protection process, difficult to apply and the like. The flexible direct current power grid comprises a flexible four-end flexible direct current system, two adjacent current converters in the four-end flexible direct current system are connected to form a direct current line, and each direct current line comprises a positive electrode line and a negative electrode line. The method comprises the steps that after a fault occurs, currents of multiple sampling points at the two ends of a positive line and a negative line in each direct-current line in the flexible direct-current power grid are collected, and transverse differential current mutation coefficients of the corresponding sampling points at the two ends of the corresponding positive line and the negative line are obtained through processing; obtaining transverse differential current abrupt change coefficients of the two ends of the corresponding direct-current line according to the transverse differential current abrupt change coefficients of the multiple sampling points of the two ends of the positive line and the negative line in each direct-current line; and according to the transverse differential current abrupt change coefficient of the two ends of each direct current line, whether the corresponding direct current line breaks down is judged, and if yes, fault protection is started.

The invention relates to the technical field of communication equipment operation and maintenance, in particular to a serial port equipment firmware upgrading method and system. The serial port equipment firmware upgrading method comprises the steps that an upgrading task instruction issued by a remote management platform is received, and after equipment identity verification and upgrading file integrity verification are executed, system protection measures are started; creating a security isolation sandbox environment, forbidding a high-risk function module in a script execution environment, and defining addressing parameters of target serial port equipment; standard scripts are loaded, and serial port read-write, file operation and state reporting type security interaction interfaces are injected; calling a mode switching function of the standardized script, so that the serial port equipment is switched to a firmware upgrading mode from an operation mode; cyclically calling a data transmission function of the standardized script to transmit firmware data in blocks, and synchronously implementing timeout monitoring; and after upgrading is completed or abnormal interruption occurs, the security isolation sandbox environment is destroyed, the original business is recovered, and an upgrading result is reported to the remote management platform.

The invention discloses a secure access method and system for an Internet of Things terminal, and relates to the technical field of information security, and the method comprises the following steps: when the Internet of Things terminal executes a key generation operation, firstly, carrying out the real-time monitoring of a generation environment, so as to capture the data information in a key generation process; according to the method, the generation environment is monitored in real time, the data information is obtained, data preprocessing and feature extraction are combined, the key strength is quantified, and the system can recognize and adjust the key which does not meet the safety requirement in time. And when the evaluation result shows that the key strength is insufficient, the system automatically triggers the key to be regenerated and the key length is expanded to ensure that the security standard is met. According to the scheme, the key generation of the Internet of Things terminal can respond to the environment change in real time, the key security is effectively improved, the limitation of a traditional static generation mechanism is broken through, the system protection capability is enhanced, and the security risk is reduced.

The invention relates to the technical field of gas turbines, in particular to a heavy gas turbine safety protection monitoring method and device fused with fuzzy evaluation. According to the heavy gas turbine safety protection monitoring method, on the basis of establishing a heavy gas turbine risk matrix, a multi-factor evaluation model is constructed by fusing with fuzzy comprehensive evaluation, and a heavy gas turbine multi-safety protection strategy is formed by quantifying multi-factor coupling influence and uncertainty and determining risk factor levels; through the heavy gas turbine control platform and the heavy gas turbine protection system platform, strategy-to-logic conversion is achieved, through debugging and iteration, protection and monitoring of the whole gas turbine system are achieved, and operation safety is guaranteed.

The invention provides a power cooperative control method, device and system based on load removal and a medium. The method is applied to a micro-grid configuration flexible interconnection device for micro-grid fault protection. After the fault is positioned, a VSG low-voltage ride-through strategy is adopted to carry out current limiting, an importance quantification model is constructed for loads, and according to a real-time operation condition, a shearable load with the minimum influence on the system is screened to carry out priority removal; and dynamic power transmission adjustment of the flexible interconnection device is synchronously triggered, a micro-grid power flow path is reconstructed, and finally a fault is removed based on a current limiting and directional element protection method. According to the invention, system protection is realized by fusing intelligent load removal and flexible power adjustment, and the fault isolation speed and the stability of the microgrid system are effectively improved.

The invention discloses a submarine observation network power supply system protection method based on traveling wave extreme value time, and relates to the technical field of submarine power grid protection, and the method comprises the steps: determining the layout position of a protection device according to a network structure, a power supply path and node importance, and dividing a system into protection regions defined by adjacent protection devices; voltage signals are collected in real time, first-order differential processing is carried out, and fault occurrence is judged by comparing the voltage change rate with a preset threshold value; recording current traveling wave data before and after the fault and carrying out Gaussian filtering noise reduction; calculating the extreme value time of the traveling wave by using a differential gradient algorithm; comparing the time difference of traveling wave extreme values on two sides of the protection area to judge the fault direction; judging a fault area in combination with the extreme time and a preset threshold value; and when the forward direction criterion and the intra-region criterion are met at the same time, a protection action is triggered. The method has the advantages that high-reliability fault positioning and rapid isolation can still be achieved under the communication failure scene, and the problem of remote fault and high-resistance fault recognition is effectively solved.

The invention discloses an amino mixed fuel explosion characteristic visualization and explosion suppression coordinated regulation and control system and method, and the system comprises an explosion suppression device which is disposed in a combustion chamber and is in communication connection with a holographic monitoring device and an explosion overpressure real-time prediction model. A graded explosion suppression scheme is set according to the safety early warning grade, so that active intervention of explosion suppression intensity and mode matched with combustion or explosion development stages with different intensities in the combustion cavity is implemented. Therefore, visualization of the mixed gas combustion and explosion dynamic process under the multi-parameter coupling condition can be achieved, and the comprehensiveness and reliability of combustion and explosion research are remarkably improved; through real-time monitoring and intelligent prediction of the explosion process, the explosion process in the device can be rapidly started, the explosion suppression response can be optimized, the explosion development can be suppressed, the integrity and operation safety of an experiment system can be guaranteed, and the intrinsic safety and the system protection capability of the experiment process can be effectively enhanced.

The invention discloses a protection setting calculation and optimization method based on an intelligent power plant management platform, and relates to the technical field of power system protection. By constructing a platform and equipment communication link, integrally collecting and preprocessing internal and external parameters, and dynamically updating topology and model parameters in combination with a switch state, the problem that a traditional static model is difficult to adapt to operation changes is solved, the timeliness and accuracy of the model are improved, a multi-scene database is constructed in a classified mode, labels are labeled, and the efficiency is improved. Fault current distribution is accurately calculated, constant value adaptability verification is carried out, constant value optimization is carried out in combination with a multi-objective optimization algorithm and sensitivity analysis, limitation of single-scene constant values is avoided, constant value conflicts under different scenes are reduced, reliability of initial constant values is guaranteed, sensitivity analysis is superposed, it is ensured that the constant values are still reliable during parameter fluctuation, and the reliability of the constant values is improved. The risk of protection operation refusal and misoperation is reduced, a constant value is issued, the device state is monitored in real time, evaluation indexes are calculated, the constant value is controllable in the whole process, and stable operation of the device is guaranteed.

The invention discloses a power distribution network short circuit fault diagnosis method and device based on a heterogeneous graph attention network and a medium, and belongs to the field of power system protection and control, and the method comprises the steps: building a heterogeneous power distribution network topological graph structure, and measuring the electric data of each node in the power distribution network topological graph; preprocessing the measured electric data and constructing a fault data set; constructing a power distribution network short-circuit fault diagnosis model based on the heterogeneous graph attention network; defining a training hyper-parameter and a loss function of the power distribution network short-circuit fault diagnosis model, and training the power distribution network short-circuit fault diagnosis model; and when a power distribution network fault occurs, preprocessing real-time measurement data, and inputting the data into the optimal power distribution network short-circuit fault diagnosis model to obtain prediction results of a node fault state, a fault category and a fault phase. According to the method, the fault of the power distribution network can be accurately and effectively diagnosed under the condition of distributed power supply deployment, and the method has relatively high diagnosis accuracy and robustness.

An illustrative data storage management system comprises a management database that stores administrative preferences and system configurations, as well as results and / or statistics of completed secondary storage operations, i.e., information needed by the system to protect customers' data and to track and recover the protected data, including secondary copies such as backup copies, archive copies, etc. The disclosed data storage management system is configured to protect its own system data subject to a very aggressive (short) Recovery Point Objective (RPO), by using an innovative infrastructure that enables the system's storage manager to fail over to any number of other failover destination storage managers, each one comprising a destination management database. An illustrative database granularly tracks whether each and every transaction log file has been successfully applied to each and every destination management database to synchronize with the source management database.

A system and method for detecting, reporting, removing, consulting, analyzing, and revealing counterfeit and fraudulent products and content on the web. The system comprises various modules that use computer vision, machine learning, natural language processing, neural networks, rule-based algorithms, DMCA notices, legal action, IP consulting, data analysis, visu¬ alization, performance analytics, and IP strategy to search, identify, compare, extract, report, take down, de-index, verify, monitor, track, and prevent counterfeiting and fraudulence in online mar¬ ketplaces, platforms, and applications. The system protects the rights and interests of brand owners, content owners, and NFT owners from illicit activities on the web. The system provides a comprehensive and effective solution for combating counterfeiting and fraudulence on the web.

The invention relates to the technical field of central differential adjustment, in particular to a torque distribution optimization-based central differential dynamic adjustment method, which comprises the following steps of: predicting a driving state based on a vehicle dynamics model and generating a feedforward torque distribution reference instruction; monitoring the rotating speed difference of front and rear drive axles in real time and generating a feedback torque correction instruction; the feedforward instruction and the feedback instruction are superposed to generate a total torque distribution instruction, and a central differential mechanism is controlled to execute inter-axle torque distribution; when it is detected that an individual wheel slips, the control system cooperates with an electronic stability program controller to work, and a total torque distribution instruction is dynamically adjusted by interacting a cooperation request and braking state information so as to achieve accurate distribution of driving torque to the best attached wheel; and meanwhile, the temperature of the multiple clutches is monitored in real time, predictive thermal management control or system protection strategies are executed in a graded mode according to temperature threshold values, and the reliability and durability of system work are ensured.

The invention relates to the field of Linux operating systems, and provides a system hierarchical isolation method and device, equipment and a storage medium. The method comprises the steps that when a temporary root file system configures a system read-write partition, the system read-write partition and a system root partition are mounted to a temporary running directory, and the two partitions are stacked and mounted to a temporary root directory; mounting the temporary partition of the system to the temporary running directory, and jointly mounting and integrating the three partitions again; finally, the mounting points of the three partitions are migrated from the temporary running catalog to the real running catalog, and multi-level system protection and performance optimization are achieved. A root partition of the basic system is kept in a read-only state through a layered isolation mechanism, so that the damage of service operation to a core file is avoided; the temporary data read-write is accelerated by using the temporary running directory, and the read-write operation frequency of a physical disk or a bottom storage device is reduced; the read-write partition of the system independently stores modified data during operation, and it is ensured that the data are not lost after restarting.

The invention discloses a basic input and output system protection method, device and equipment and a readable medium, which are applied to the technical field of computers, and comprise the following steps: monitoring a power-on pin and return information of a basic input and output system, and determining a starting process state of the basic input and output system; if the state of the starting process is abnormal, performing a read-write test on a storage medium of the basic input and output system, and determining an abnormal reason; if the exception reason is firmware data exception, recovering the basic input and output system through the storage medium of the double basic input and output system and the substrate management controller. According to the invention, various states of the basic input and output system in the starting process can be identified; and in the case of exception, automatically determining the reason for starting exception of the basic input / output system through a read-write test, and realizing an automatic recovery mechanism when firmware data exception occurs in the basic input / output system. And the protection capability and the abnormity self-repairing capability of the basic input and output system are integrally improved.

The invention discloses an evaluation method and device for a breaking result of a high-voltage SF6 circuit breaker, electronic equipment and a storage medium, and belongs to the field of power system protection, and the method comprises the steps: obtaining a reference arc extinguishing peak voltage and a reference contact opening distance of the high-voltage SF6 circuit breaker; obtaining a to-be-measured arc extinguishing peak voltage and a to-be-measured contact opening distance of the high-voltage SF6 circuit breaker; calculating the ratio of the to-be-measured arc extinguishing peak voltage to the preset power of the to-be-measured contact opening distance, and generating a to-be-evaluated index value; calculating an on-off evaluation critical value according to the reference arc extinguishing peak voltage, the reference contact opening distance and a preset critical value coefficient; and judging whether the to-be-evaluated index value is greater than the cut-off evaluation critical value, if so, judging that the predicted cut-off result is successful, and if not, judging that the predicted cut-off result is failed. Therefore, by implementing the invention, the problem that electric breakdown failure and successful breaking cannot be distinguished due to similar voltage characteristics in the prior art can be solved.

The invention discloses an AC-DC power grid intelligent scheduling and protection control method, system and device and a medium, and belongs to the technical field of intelligent power grid operation control, and the method comprises the steps: constructing an AC-DC cooperative scheduling model, dynamically predicting new energy output and load demands, and generating a coordination instruction; establishing a multi-stage linkage protection framework based on a scheduling result, and defining alternating current and direct current system protection collaborative logic; integrating the heterogeneous operation data of the AC / DC system to construct a unified analysis model; a dynamic power flow distribution strategy is optimized in a rolling mode through a deep reinforcement learning algorithm; according to the real-time operation state, dynamically correcting protection parameters and triggering edge side fault quick response; and a closed-loop technical link is formed, and a preorder result drives a subsequent action, so that self-adaptive coordination of scheduling, protection and control is realized. According to the invention, through an AC / DC cooperative scheduling and multi-stage protection architecture, in combination with a deep reinforcement learning algorithm and a dynamic protection mechanism, a "scheduling-protection-control" three-dimensional decision-making system is constructed, and the stability of a power grid is improved.

The invention belongs to the technical field of ship power engineering, and particularly discloses an external steam supply system for a steam turbine thermal state test, which comprises a gas supply unit, a steam-water separation unit, a temperature and pressure reduction unit, an exhaust unit and a gas utilization unit, the steam-water separation unit and the gas supply unit are connected through an initial gas supply pipeline; the steam-water separation unit is connected with the gas utilization unit through a gas utilization pipeline, and the temperature and pressure reduction unit is arranged on the gas utilization pipeline and is close to the gas utilization unit; the exhaust unit is connected in parallel with the gas utilization unit through an exhaust pipeline; the steam dryness is guaranteed through the steam-water separation unit, accurate control over terminal parameters is achieved through the temperature and pressure reduction unit, flow adjustment and system protection are provided through parallel exhaust of the exhaust unit, the steam supply problem of a steam turbine thermal test in the ship mooring test stage is successfully solved, and the steam supply efficiency is improved. And the safety of the steam turbine is effectively protected.

The invention discloses an energy management method and device for an LED street lamp photovoltaic energy storage system, and the method comprises the steps: obtaining the output characteristic data and environment illumination data of a photovoltaic module of the energy storage system, and carrying out the energy conversion optimization, and obtaining the electric energy information; acquiring a charge state of a first energy storage unit of the energy storage system based on the electric energy information, executing three-stage electric energy storage to obtain a current energy storage state, and activating a second energy storage unit of the energy storage system; according to the current energy storage state and the environment illumination data, the power supply proportion of the first energy storage unit and the second energy storage unit is dynamically allocated, and an LED street lamp illumination instruction is generated; and through the LED street lamp illumination instruction, monitoring a power supply loop in real time, carrying out energy supply cooperative matching, and outputting a system protection instruction. The dynamic stability problem of the system under the complex working condition can be solved, and the operation reliability of the system under the continuous cloudy and rainy or extreme temperature condition is improved.

The invention relates to the field of power distribution network system protection, and discloses a power distribution network cyber-physical system network attack optimization method which comprises the following steps: S1, establishing an upper-layer attack model which is used for simulating a decision of an attacker for causing the maximum load loss under the constraint of limited attack resources; s2, establishing a lower-layer rescheduling model, wherein the lower-layer rescheduling model is used for simulating a response decision taking minimization of load shedding loss and scheduling cost as targets after a power distribution network dispatcher is attacked; and S3, constructing an attack and defense double-layer optimization model combining the upper-layer attack model and the lower-layer rescheduling model. Through sequential logic based on attack and defense, the first stage starts from the perspective of attackers to maximize attack consequences and minimize attack cost, and the second stage minimizes scheduling and operation cost from the perspective of dispatchers to guarantee power supply of key users, so that the influence of network attacks on the power distribution network is comprehensively and accurately evaluated.

The invention provides a digital main line processing method based on an industrial data atlas, a medium and a system, and belongs to the technical field of the industrial data atlas. Unified access of cross-system data is realized by constructing a multi-source data acquisition adapter, cleaning and standardization processing are performed on heterogeneous data, an integrated data set is constructed, and the data collection efficiency is improved. Data entities are abstracted as nodes, cross-system association relationships are abstracted as edges to construct an industrial data graph, a graph index optimization strategy and a hierarchical storage architecture are adopted to improve cross-system query performance, a graph adaptive evolution model is utilized to realize dynamic adjustment of a graph structure, and a cross-system deep association analysis function is realized through a graph traversal algorithm. And an access control and data security mechanism is established to complete system protection, so that the technical problem that the industrial data processing system is difficult to realize cross-system deep correlation analysis is solved.

The invention discloses a battery cluster short circuit rapid identification method and device based on voltage sag. The method comprises the following steps: acquiring a total voltage real-time value of a battery cluster in a current detection period; calculating an inter-frame total voltage change real-time value of the battery cluster based on the total voltage historical value of the battery cluster in the previous detection period; judging whether the inter-frame total voltage change real-time value is greater than or equal to a preset voltage abrupt change threshold value or not; and if yes, judging that the battery cluster has a short-circuit fault, and triggering a protection action. The inter-frame change of the total voltage of the battery cluster is monitored in real time and compared with the preset threshold value, millisecond-level rapid identification and protection of the full-range short-circuit current are achieved, and the technical problem that in an existing energy storage system protection system, due to the inverse time limit characteristic of a circuit breaker and the BMS delay criterion, medium and low short-circuit current cannot be rapidly cut off is effectively solved.

The invention discloses a multi-terminal traveling wave fault positioning method, system and device of a branch type power distribution network and a medium, and relates to the technical field of power system protection and control, and the method comprises the steps: constructing a static topological graph of a power grid, and constructing a reference node distance matrix; collecting traveling wave signals of the monitoring points; performing empirical mode decomposition on the acquired traveling wave signal to decompose the traveling wave signal into an intrinsic mode function component; screening all the intrinsic mode function components, selecting an optimal intrinsic mode function component, and executing Hilbert-Huang transform to lock the arrival time of the traveling wave head; calculating the distance difference between the fault point and each monitoring point, and constructing an average fault distance difference matrix; and constructing a fault branch judgment matrix based on the average fault distance difference matrix and the reference node distance matrix. According to the method, the problem that a traditional impedance method is highly sensitive to line parameters and transition resistance is solved, and the defect that a single-end traveling wave method is prone to generating positioning ambiguity in a branch network is overcome.

The invention relates to a domestic trusted dual-system protection method and system oriented to industrial control, and belongs to the technical field of industrial control security, and constructs a dual-system architecture based on hardware isolation: a domestic operation subsystem executes service logic, and a protection subsystem realizes independent security control through a TCM / TPCM trusted root. And the protection subsystem has a one-way access permission to form a hardware-level protection barrier. When the system is started, UBoot, a kernel and an application program are measured step by step through a TPCM chip, and a trusted chain is constructed; during operation, the active monitoring module calculates a process hash value in real time, compares the process hash value with the reference library, and executes security policies such as process termination / network blocking. The executable file, the network port and the source IP access control are covered by adopting a white list technology of encrypted signature. The full-period active protection of the terminal from starting to running is realized, the defect that a traditional scheme depends on kernel safety is overcome, the safety and reliability of a system are remarkably improved, and the requirement of an industrial control system for protection 2.0 is met.

The utility model relates to a twenty-high roll mill roll system protection device which is made of copper materials, one end of the protection device is connected with a mill body through a spring pull rod, the other end of the protection device is movably connected with a sliding rail of an intermediate roll, and the protection device comprises a protruding block body, a wedge face body and a guide groove which are sequentially connected. One side face of the protruding block body, one side face of the wedge face body and one side face of the guide groove are flush and serve as a base side face, the protruding block body is of a narrow-end-up structure, the width of the bottom of the protruding block body is equal to that of the wedge face body, the two side faces in the thickness direction of the wedge face body are symmetrical inclined faces, and the thickness of the wedge face body is gradually increased from the base side face to the other side. The thickness of the wide face end of the wedge face body is equal to that of the protruding block body, a right-angle opening is formed in the top of the protruding block body, the protruding block body is connected with a spring pull rod at the right-angle opening through a pin shaft, and a sliding rail groove is formed in the lower bottom face of the guide groove and is in sliding connection with a sliding rail of a middle roller. And under the instant huge impact force when the strip steel is broken, the strip steel can be broken, and the roller and the backing bearing are protected.

The present disclosure herein addresses the problem of data security and privacy by providing a system and method for preserving privacy and security of enterprise data for generative artificial intelligence enabled applications. The system of the present disclosure enables removing all personal identifiable information (PII) and sensitive data by masking them in outgoing data keeping meaning of context and instructions same. A masked output is obtained as a response from external models. The response is further unmasked and an actual output is obtained for an end user. In this way, the system of the present disclosure protects an enterprise data from going out and keeps them secure and confidential. The system of the present disclosure also takes care of prompt injection, checks for truthfulness of the answers based on a given context, checks for malicious code in external model response and performs model scanning for not being compromised.