1410 results about "Program control" patented technology

The invention relates to the technical field of program control systems, in particular to a pentahedron machining center precision calibration method and system based on multi-sensor fusion, and the method comprises the steps: a sensor system construction and calibration module is used for field calibration, drift correction and redundancy deployment to ensure data precision, and achieves the whole-course traceability of a calibration process through a block chain technology; the multi-source data preprocessing and fusion module is used for time-space synchronization of heterogeneous data and dynamic fusion of multi-source information; the intelligent modeling and state prediction module is used for performing real-time and multi-task prediction on key states such as tool wear and thermal deformation; based on the prediction result, the adaptive compensation and path optimization module is used for dynamically optimizing the tool path; meanwhile, through an online learning mechanism, the calibration model is continuously updated by utilizing a processing result; the distributed cooperative control module executes data processing and calibration algorithms locally and makes a cooperative decision with a numerical control system, and low-delay and intelligent response to machining abnormity is achieved.

The invention relates to the technical field of program control, in particular to a servo position control method and system applied to an engraving and milling machine. The method comprises the following steps that real-time temperature data and real-time load data of lead screws of all shafts in the engraving and milling machine are obtained; collecting multi-node temperature distribution data of the engraving and milling machine; obtaining cutting force data and resonant frequency characteristic values in the engraving and milling machine; constructing a screw rod reverse clearance prediction model based on the real-time temperature data and the real-time load data of the screw rod, and generating a clearance compensation value; performing pre-compensation control before the servo position direction of each axis is changed based on the clearance compensation value to obtain a correction position instruction; and performing thermal deformation simulation on the engraving and milling machine based on the multi-node temperature distribution data to generate thermal deformation compensation amounts of all shafts. Through multi-source data fusion and intelligent control, comprehensive optimization of the servo position system of the engraving and milling machine is achieved, the machining precision, dynamic response and stability are effectively improved, and efficient and reliable operation of high-speed and high-precision machining is guaranteed.

The invention relates to the technical field of program control systems, in particular to an intelligent daily chemical production line online control system. The system comprises an equipment digital twin modeling module, a process parameter optimization module, a modular production unit adjustment module, an automatic scheduling and Internet of Things transmission module, an equipment monitoring and data analysis module and a fault prediction and remote operation and maintenance module. Acquiring equipment real-time operation state data of the intelligent daily chemical production line, and performing digital twinborn modeling based on the equipment real-time operation state data to obtain an equipment digital twinborn model; and performing simulation optimization calculation on each process parameter based on the digital twin model of the equipment to obtain stable-state process parameter set data of the equipment. Through technological parameter optimization, modular production unit adjustment, equipment monitoring and fault prediction, efficient dynamic optimization of the production process is realized, the flexibility, stability and fault prevention capability of the production line are improved, the production cost is reduced, and the production efficiency is ensured.

The invention relates to the technical field of data processing, in particular to an industrial environment data acquisition device and method, and the device comprises a sensing layer, an edge calculation layer, a cloud platform layer, and an application layer. Compared with a traditional scheme in which a single sensor is adopted to work independently, software synchronization is relied on, and signal conditioning parameters are fixed, the technical scheme of the invention realizes significant breakthrough through collaborative design of a multi-mode sensor array and an intelligent signal conditioning system, microsecond-level clock synchronization is realized by adopting a hardware-level PTP protocol, and the signal conditioning precision is improved. The program control amplifier is combined with the self-adaptive anti-aliasing filter, so that the conditioning circuit can be self-adaptive to the working condition change of equipment; meanwhile, nanosecond-level real-time processing of signals is achieved through an FPGA + ARM heterogeneous processor architecture, abnormal high-speed sampling is dynamically triggered in cooperation with an ARM, compared with a traditional scheme, the real-time performance is improved by three orders of magnitude, meanwhile, invalid data transmission is reduced by 80%, and a high-timeliness and low-redundancy intelligent monitoring solution is provided for early failure early warning of industrial equipment.

The invention relates to a part burr removing technology, in particular to an intelligent control system for removing burrs of machined parts, which is used for solving the problems that manual burr removing operation is poor in stability, parts are easy to damage, part of hidden burrs are difficult to perceive and remove, and the burr removing efficiency is low. Automation of the burr removing process is achieved through a plurality of modules arranged in the program controller, manual intervention is reduced, the production efficiency is improved, the path planning module conducts optimal planning on a burr treatment path according to a burr detection result, the efficiency and effect of burr removing work are improved, and the labor intensity of workers is lowered. The real-time monitoring module can monitor the working state of the deburring tool in real time, it is ensured that the deburring tool operates according to the optimal path, whether the deburring tool can continue to execute deburring work or not can be judged in real time, the whole control system is intelligently controlled through a program, dependence on manual deburring operation is reduced, the production cost is reduced, and the working efficiency is improved. And the safety risk possibly existing when the burrs are manually removed is avoided.

The invention discloses a man-machine exoskeleton cooperation method based on multi-modal signal fusion, and relates to the technical field of exoskeleton program control. The method comprises the following steps that man-machine exoskeleton driving pre-pressure cold and hot mutation analysis is conducted in combination with man-machine exoskeleton man-machine cooperation components; and performing memory alloy spring pre-pressure optimization adjustment in combination with a man-machine exoskeleton driving pre-pressure cold and hot mutation analysis result. According to the invention, cold chain exoskeleton cooperative control is realized through multi-mode signal fusion, and three-level regulation and control are implemented based on a current threshold value and a myoelectricity state: graded current rising / falling and safety early warning are carried out in case of abnormal current; dynamic gain compensation or joint retardation protection is carried out when myoelectricity is abnormal; according to the man-machine exoskeleton cooperative control method and the man-machine exoskeleton cooperative control system, the effect of improving the accuracy of man-machine exoskeleton cooperative control for coping with cold-chain logistics is achieved, and the problem that the accuracy of man-machine exoskeleton cooperative control for coping with cold-chain logistics is disabled in the prior art is solved.

The invention discloses an integrated machine room operation and maintenance management system, which relates to the field of information technology management and comprises a plurality of modules such as a distributed data acquisition module, a heterogeneous equipment adaptation module and a standardized communication interface module. The system realizes module cooperation through a two-way synchronous lock mechanism and an intelligent load sensing mechanism; the distributed acquisition module realizes millisecond-level high-precision data synchronization by using an ultra wide band and millimeter wave combined sensing technology; the heterogeneous equipment module eliminates communication compatibility obstacles; the standardized communication module is fused with an optical fiber and a dynamic arbitration mechanism to realize microsecond-level low-delay communication; the resource virtualization module supports unified abstraction and low-delay scheduling of physical resources; the expansion module can complete new node integration within three seconds; the fault-tolerant module can early warn faults ten minutes in advance and realize quick recovery; the intelligent decision-making module optimizes an operation and maintenance strategy based on edge reinforcement learning; and the interaction module supports multi-terminal state reproduction and programming control. The method has the beneficial effects that automation, intelligence and reliability levels of machine room operation and maintenance are improved.

The invention relates to the technical field of program control, and discloses a high-activity selenium yeast intelligent production control system based on gradient feeding monitoring. The system comprises a data acquisition module, a control parameter acquisition module, a gradient calculation module, an intelligent control module and a material supplementing control module. The system collects process production data, extracts key control parameters and weights, calculates real-time gradient values of the parameters, forms six-dimensional gradient vectors, generates control gradient indexes in combination with the parameter weights and time sequence attenuation weights, and then forms an addition control decision. And according to the decision and the process state dynamic data, the material supplementing opportunity is identified, an active adding instruction is generated, programmed control and adjustment of the raw materials and the additives are achieved, and the control precision and the production automation level are improved.

Systems, methods, and apparatus are provided for modification of RPA controls during a workflow without impacting bot performance. A background scan initiated in parallel to an RPA application workflow may identify values for an application control parameter and a corresponding bot control parameter. Hashes of the values may be validated against a key value pair stored as a block in a distributed ledger. If changes have been made to the application control values, the bot control value will not match the application control value and validation will fail. If validation fails, an override may be generated for the bot value. An updated bot value may be stored in a temporary cache until the workflow is complete. Following completion of the workflow, a new block may be added to the blockchain storing a new key value pair including the application control value and the updated bot control value.

The invention relates to the technical field of program control, in particular to a precise powder supply control system, which is characterized in that multi-cycle differential processing of a rotating speed fluctuation ratio of a spiral feeder is performed on multiple key parameters such as a powder batch particle size value, a batch density value, an accumulated discharging amount and a feeding cycle; abnormal fluctuation numbers are extracted in different periods and combined according to the abnormal fluctuation numbers to generate a feeding feature set, a fuzzy neural network is utilized to improve the fitting precision of a discharging rate change trend under a nonlinear condition, the screening capability of extreme value interference is improved, a fluctuation difference value sequence is associated with symbol consistency and a density mean value, and the accuracy of the fluctuation difference value sequence is improved. Analyzing the variation trend of the discharge deviation in the symbol direction and the numerical slope, matching the numbers to establish a feed deviation grade section sequence, adopting a generative adversarial network to construct a target and actual discharge quantity difference value sequence, dividing symbol consistent sections, extracting the coupling trend of the fluctuation slope and the average density value, and obtaining a target discharge quantity difference value sequence; and misjudgment caused by deviation mode covering is avoided.

A programmable driver circuit (54) and related method (600) for simultaneously controlling multiple tunable probabilistic bit generators are disclosed. The driver circuit comprises a plurality of programmable voltage generators (52; 30), a programming unit (35) and a non-volatile memory unit (34a-b). Input terminals of the plurality of programmable voltage generators are jointly connectible to a single voltage supply source. The programming unit is configured to generate a sequence of programming pulses for the different voltage generators. Each voltage generator comprises a single-stage or multi-stage voltage divider circuit (31) formed by a series of resistive elements (32-1; 32-2; 33). The non-volatile memory unit (34a-b) comprises at least the resistive element positioned first in the series of resistive elements as a programmable resistance and a program control transistor (34-1) connected in series between the programmable resistance and a fixed reference voltage. A control gate of the program control transistor is operatively coupled to the programming unit to receive the sequence of programming pulses for the programmable voltage generator when operated in a programming mode.

The invention provides a FLASH programming system and method capable of configuring instructions, an instruction configuration module receives various configuration instructions input by a user, a generated instruction sequence is sent to a programming control module, a data processing module preprocesses to-be-programmed data according to setting of the instruction configuration module, and after a whole programming task is completed, the programming control module sends the to-be-programmed data to the programming control module. The programming control module feeds back a programming result to a user, and the communication interface module receives an instruction and data sent by external equipment and sends feedback information of the system back to the external equipment in time. According to the method, great flexibility and convenience are provided for a user, the development cost and time are greatly reduced, the production flexibility and efficiency are improved, a large amount of data rewriting caused by errors found by verification after the whole programming is completed is avoided, and the user experience is improved. And the cost and the management complexity of a plurality of different programming devices due to the compatibility problem of the chip are reduced.

The invention relates to the technical field of intelligent manufacturing, in particular to a stamping production line mechanical arm which comprises a mounting pipe, a connecting frame arranged on one side of the mounting pipe, a fixing frame fixedly connected to one side of the connecting frame, and a rotating shaft arranged on one side of the fixing frame and rotationally connected in a penetrating mode. Rotary feeding and discharging of the multiple suction cups are driven through rotation of the rotating frame, the feeding process of raw materials and the discharging process of products are completed by rotating by 180 degrees, the efficiency of the feeding process of the raw materials and the efficiency of the discharging process of the products can be improved, and meanwhile through the mode that the multiple suction cups rotate, make contact and adsorb, the efficiency is improved. Products in different shapes can be adaptively adsorbed and fixed, the products in different shapes can be conveniently adsorbed in the feeding and discharging process, the overall stamping production efficiency is improved, the automatic feeding and discharging process of stamping production can be conveniently achieved in cooperation with program control and program adjustment of a controller, and the production efficiency is improved. Therefore, the automatic driving and the automatic up-and-down material taking process in the stamping production process are achieved.

The invention belongs to the technical field of high-temperature experimental equipment, and discloses an integrated intelligent program control and multiple safety protection experimental box-type resistance furnace which comprises a furnace body, a sensor suite and a controller, the controller runs an intelligent control program based on neural network model predictive control, namely NN-MPC, and the intelligent control program is connected with the sensor suite. The method is used for realizing accurate tracking of a complex temperature control curve and optimization of energy consumption. Meanwhile, the controller also runs an active health management program based on prediction and health management, namely PHM, and the program predicts the residual service life, namely RUL, by monitoring health indexes such as resistance of the heating element in real time, so that early warning and predictive maintenance of faults are realized; the health state information of the PHM module is fed back to the NN-MPC module in real time, so that the control system can adapt to aging of the equipment, and the control performance, the energy efficiency, the operation reliability and the overall safety of the equipment are remarkably improved.

A system is for remotely controlling a running tool to install equipment in a subsea well through a subsea structure. The system has a control device for controlling the running tool and a communication module for wirelessly communicating with the control device. The control device and the communication module include wireless communication interfaces for communicating subsea with each other through the subsea structure when the control device is provided internally to the subsea structure and the communication module is provided externally to the subsea structure. The memory of the control device is configured with state identifiers for representing internal states of the running tool and programs associated with operations for controlling the running tool. The control device is configured to receive commands from the communication module, execute the programs based on the command, and return a state identifier for representing a current internal state of the running tool.

The invention relates to the technical field of deep hole machining, and provides a multi-axis linkage machining system for drilling and milling the inner wall of a deep hole, which adopts a linear motion device to directly drive a cutter support module, omits a lead screw and other intermediate transmission links, shortens the non-cutting time, has high positioning precision, can improve the machining efficiency, and has lower operation noise and vibration. The processing environment can be improved; according to the workpiece clamping device, a second hollow rotating platform is connected with a chuck, the chuck clamps the workpiece, through program control, the second hollow rotating platform can drive the workpiece on the chuck to rotate and position at any angle, and the requirement for machining the workpiece by a drilling and milling cutter module is met; the problems of time waste, positioning errors and the like caused by secondary clamping are avoided, and the workpiece machining efficiency is improved; a tool bit of the drilling tool module is fed by adopting a variable-diameter structure (a tool bit feeding assembly), and drilling and milling can be carried out on the inner walls of deep hole type workpieces with complex inner hole shapes such as bottleneck holes and stepped holes.

The invention discloses a satellite autonomous feed link establishment method based on a program control instruction group, which comprises the following steps of: autonomously performing power-on, configuration and power-off operations on a load single machine according to the program control instruction group and link establishment table information by taking satellite integrated electronics as a control center; meanwhile, the satellite integrated electronics broadcast the orbit and attitude information of the satellite to the load controller at a specific frequency, and the load controller calculates the rotation angle of the feed antenna mechanism, so that autonomous startup and shutdown and autonomous feed link establishment of the load are realized; and grouping the instructions according to task types, performing top injection, modification and deletion according to groups, and performing execution according to groups. Compared with a single delay instruction, the program control instruction group is more suitable for satellites with multiple load types, multiple task types and complex tasks, and has the advantages of being clear in classification, flexible in modification and reusable. The satellite autonomous feed link establishment method based on the program control instruction group can autonomously perform feed link establishment and link breaking actions according to the link establishment table, and has the advantages of autonomous operation and energy saving.

The invention discloses a full-automatic pipetting system based on programmable logic, the system comprises a computer program, a programmable pipetting system programming module, a programmable pipetting system operation module and a computer device, and the computer device is controlled by the computer program. And by cooperating with the programmable pipetting system programming module and the programmable pipetting system operation module, accurate control and operation of the full-automatic pipetting system are realized. According to the invention, through programmable pipetting operation, the problem of insufficient automation of the whole process in the prior art is solved, through automatic accurate configuration of reagents and programmed pipetting operation steps and support of automatic switching and integrated replacement of suction heads, the pipetting process can be fully automatically operated, manual operation intervention is avoided, and the production efficiency is improved. The pipetting efficiency is greatly improved, and meanwhile, the high consistency and repeatability of the pipetting process are ensured.

The invention discloses a cooperative control and dynamic resource scheduling method and system for a smart park, and relates to the technical field of program control. According to the method, the heterogeneous sensor network is deployed, and multi-source data is subjected to denoising, feature extraction and classified transmission; constructing a digital twinborn model, embedding equipment physical law constraints, optimizing the learning rate of an RCN prediction network in combination with historical data and a bee colony algorithm, and realizing high-precision state prediction; when the real-time data or the predicted data exceeds a threshold value, triggering global scheduling, generating an initial allocation scheme by using an improved contract network protocol, and generating a Pareto optimal scheme set of comprehensive cost, equipment utilization rate and service delay through a pea population algorithm; verifying the feasibility of the scheme based on digital twinning simulation, and dynamically distributing conflict resources by adopting virtual auction; the network load is reduced, the prediction progress is improved, the equipment load peak-valley difference is compressed, and the park resource scheduling efficiency is improved.

The invention relates to the technical field of program control, and discloses a femtosecond laser process parameter self-optimization method and system, and the method comprises the steps: carrying out the image reconstruction of real-time three-dimensional shape data, and obtaining a real-time ablation contour image; performing morphological feature deconstruction on the real-time ablation contour image to obtain a contour feature parameter set; performing deviation quantitative analysis on parameters in the contour feature parameter set and a standard feature threshold range to obtain a deviation feature vector; performing compensation strategy addressing on a preset process parameter adjustment rule base to obtain a preliminary compensation parameter combination; virtual machining track planning is carried out on the machined area, ablation morphology deduction is carried out on the planned track, and a fitting verification result is obtained; when a fitting verification result meets a convergence condition, performing parameter solidification packaging on the initial compensation parameter combination to obtain a final compensation parameter; according to the method, the self-optimization efficiency of the femtosecond laser process parameters can be improved.

The invention discloses a multi-parameter adjustable ultrasonic transducer excitation circuit system which is simple in structure and flexible to control. According to the technical scheme, the device comprises a central control module, an ultrasonic waveform generation module, a program control voltage source module and a full-bridge driving module; the central control module at least has a serial port communication function, and receives a parameter setting instruction of an upper computer through serial port communication to control the whole system; the ultrasonic waveform generation module comprises a sine wave generation module and a pulse square wave conversion module, the sine wave generation module generates a sine wave signal with a specified frequency, and then the pulse square wave conversion module generates a pair of square wave waveforms which are opposite in phase and are emitted in a pulse group mode; the waveform basic frequency of the square wave is equal to that of the sine wave, the pulse frequency and width of the pulse train are adjustable, and the pair of inversion signals is used for controlling two half-bridges of the full-bridge driving module.

A gluing apparatus and a gluing device. The gluing apparatus (100) comprises a first mounting seat (10), a movable seat (20), a gluing mechanism (30) and a traction mechanism (40); the movable seat (20) is disposed on the first mounting seat (10) so as to be movable along a first direction; the gluing mechanism (30) and the traction mechanism (40) are both disposed on the movable seat (20); the gluing mechanism (30) comprises a gluing head (31), and the traction mechanism (40) comprises a traction member (41), the traction member (41) and the gluing head (31) being arranged along a second direction; the traction member (41) is configured to abut against a workpiece, and can drive the movable seat (20) to move along the first direction when the first mounting seat (10) moves along the second direction, so as to adjust the position of the glue coating head (31) in the first direction; the first direction and the second direction intersect. When the first mounting seat moves along the second direction, the traction member can drive the movable seat to move in the first direction, so as to adjust the gluing position of the gluing head. This is conducive to improving the gluing quality of the gluing apparatus, and does not require program control, which can reduce programming costs and thus reduce gluing costs.

The invention relates to the technical field of program control, in particular to a method and system for optimizing and improving the performance of a graphics card based on big data, and the method comprises the following steps: collecting shader compiling time data, initial video memory distribution mode parameters and pipeline state setting sequence logs in a starting stage of a target application program; according to the method, the shader compiling time data, the initial video memory allocation mode parameters and the pipeline state setting log in the application program starting stage are collected, and the multi-task GPU activity feature set is constructed, so that the dynamic requirements of different application starting behaviors on hardware resources can be quantified, and the accurate prediction of the resource occupation mode is realized. Task operation states are grouped based on numerical clustering, classification indexes are established, and a typical GPU resource demand time sequence profile is generated after feature data of tasks of the same kind are aggregated, so that a subsequent resource pre-allocation strategy can be adaptively adjusted according to a historical behavior mode, and the video memory bandwidth scrambling risk in a high-fluctuation scene is reduced.

The invention discloses an electronic cyclotron radiometer and reflectometer integrated diagnosis system. The system comprises a microwave antenna, a waveguide power divider, an electronic cyclotron radiometer, a reflectometer, a program control voltage source and an industrial personal computer. The industrial personal computer is controlled to carry out time sequence editing on program control voltages which are respectively output to the electron cyclotron radiometer and the reflectometer by the program control voltage source, so that the output microwave frequencies of the voltage-controlled oscillator are different at the same time. Through the integrated design of the electron cyclotron radiometer and the reflectometer and the design of sharing the transmitting and receiving microwave antenna and the two program control voltage sources, the problem of signal interference of the reflectometer to the electron cyclotron radiometer is avoided, and meanwhile integration of a diagnosis window and a diagnosis annular space is achieved. The method can be applied to diagnosis of an electron cyclotron radiometer and a reflectometer of a Tokamak device, and can also be applied to any magnetic confinement device needing diagnosis of the electron cyclotron radiometer and the reflectometer at the same time.

The invention relates to the technical field of converters, in particular to a three-phase converter control method and system, a medium and equipment. The method comprises the steps that a main processor transmits sampling original data of a three-phase converter to a first storage area; the coprocessor reads the sampled original data, performs operation to obtain operation result data, and transmits the operation result data to the second storage area; the coprocessor runs at a period higher than the preset control frequency of the main processor, and immediately triggers the operation of the sampled original data after completing the collection of the sampled original data; the main processor performs control loop calculation, reads the operation result data when the newest operation result data is needed, and loads the newest operation result data for updating operation; the main processor runs the control program at the preset control frequency, and the control program triggering time is set in a minimum allowable time window before the control output quantity loading moment. Through the above arrangement, real-time sampling is effectively realized, CPU load is optimized, and the control performance of the converter is improved.

The embodiment of the invention provides a program control flow protection method and device based on a shadow stack and computer equipment, and the method comprises the steps that in response to a current calling instruction, at least a return address corresponding to the current calling instruction and a verification value in a verification register are written into the shadow stack, the verification value in the verification register is determined at least based on the return address of the write shadow stack corresponding to the previous call instruction and the verification value; and determining an updated verification value at least based on the return address of the write shadow stack corresponding to the current call instruction and the verification value, and writing the updated verification value into the verification register so as to verify whether the program control flow is normal or not when a current return instruction corresponding to the current call instruction is executed. According to the embodiment of the invention, the protection performance of the program control flow based on the shadow stack can be improved, so that the security of a computer execution program is improved.

The invention relates to the technical field of program control, in particular to a reamer machining path intelligent optimization method and system based on artificial intelligence, and the method comprises the following steps: collecting a reamer main shaft load torque and a Z-axis feed current in the process that a reamer cuts into a workpiece, and generating a reaming contact area resistance characterization quantity; and mapping the resistance characterization quantity of the reaming contact area to generate a hardness distribution characteristic value of the workpiece material. According to the method, differential operation is carried out on a generated nonlinear track, the acceleration change rate of the nonlinear track is extracted, the dynamic complexity of a motion state is quantitatively evaluated, the dynamic complexity is combined with a contour error predicted by AI, a dynamically weighted feed-forward compensation amount is formed, and when a motion instruction is complex and the system following capability faces challenges, the compensation effect is enhanced; according to the predictive compensation mechanism, active suppression can be carried out before the servo error actually occurs, and the contour tracking precision of a complex nonlinear instruction is improved.

The invention discloses a program control method and device of cleaning equipment based on stress characteristics, the cleaning equipment and a medium, and belongs to the technical field of general cleaning. The method comprises the steps that in the operation process of the cleaning equipment, stress data of a cleaning rotating device in the cleaning equipment are acquired; extracting stress characteristics based on the stress data; according to a matching result of the stress characteristics and preset abnormal stress characteristics, working parameters of the cleaning program are adjusted; wherein the working parameters comprise at least one of the rotating speed, the rotating period, the program running time and the use of the auxiliary part. According to the technical scheme, the stress characteristics of the stress data of the cleaning rotating device in the cleaning equipment are extracted, and the working parameters of the cleaning program are adjusted according to the matching result of the stress characteristics and the preset abnormal stress characteristics, so that the automation and intelligence level of the cleaning equipment can be enhanced, and the cleaning efficiency is improved. Various conditions during operation of the cleaning equipment are timely and accurately handled, and the cleaning effect is guaranteed.

Efficient replacement of software breakpoint instructions in a processor-based device is disclosed. In regard to this, in one exemplary embodiment, a processor-based device is provided. The processor-based device includes a system memory and a processor. The processor includes a breakpoint slip register (BSR) configured to store instructions of a software process that are replaced in system memory by a software breakpoint instruction, and the processor further includes a breakpoint slip enable (BSE) indicator. The processor is configured to execute the software breakpoint instruction during execution of a software process. The processor is further configured to, in response to executing the software breakpoint instruction, transfer program control to the debugger. The processor is further configured to determine that the BSE indicator is set after the program control is returned from the debugger. Further, the processor is configured to, in response to determining that the BSE indicator is set, execute the instructions stored in the BSR.

The invention discloses a food baking processing program control system and method, and relates to the technical field of food processing intelligent control, and the method comprises the steps: collecting the dielectric characteristics of a material, capturing the change dynamic state of a dielectric loss angle tangent value, and recognizing the phase change stage of the material in real time through a time domain dielectric spectrum analysis method; constructing a dual-channel heat conduction model, and dynamically identifying the regional temperature gradient of the baking equipment according to the phase change stage of the material; and based on the regional temperature gradient of the baking equipment, through a multi-parameter coupling control algorithm, calculating the microwave power adjusting quantity and the wind speed ratio adjusting quantity of the baking equipment, and generating a composite control instruction set. According to the method, the phase change stage of the material is recognized in real time through a time domain dielectric spectrum analysis method, the relevance between relaxation time distribution and a phase change characteristic spectrum is accurately analyzed through inverse Laplace transformation and a dynamic time warping algorithm, and dynamic capture of key phase change nodes such as glass transition and starch gelatinization is achieved.