627 results about "Stop signal" patented technology

The present disclosure generally relates to a lens that provides a stop signal for myopia over a substantial portion of a spectacle lens that is being used by a viewer. The present disclosure relates to an apparatus, method, and / or system for applying a stop signal for eye development using a spectacle lens in combination with an array of microlenses. The present disclosure also relates to an apparatus, method, and / or system for modifying incident light through a spectacle lens that utilizes color cues to slow the rate of myopia progression. The present disclosure relates to an apparatus, method, and / or system for applying a stop signal for eye development using a spectacle lens in combination with a refractive optical element and / or a diffractive optical element that provides conflicting or opposing optical signals at wavelengths between 510 nm and 610 nm.

The invention relates to the technical field of machine learning, in particular to a cooling pump optimization algorithm of a central air-conditioning water chilling unit based on a knowledge graph, which comprises the following steps of: acquiring an alignment relationship between a pump start-stop signal and current response time, extracting an action section and a path node sequence to construct a logic sequence, and identifying control signal alternation and direction deviation to extract a path limit number, and screening response delay and a load fluctuation section to correspondingly adjust an identification area. According to the method, behavior mapping between the pump action and the signal time sequence is constructed, alternating signals and direction deviation fragments in a control chain are extracted, a path limiting identifier is generated to be used for restraining control interference, a trigger area is regulated and controlled in combination with matching of load response and an equipment action section, and an accessible path is screened to replace a limited section; the path structure is recombined, instruction chains are sorted, the matching capability of path scheduling and the response collaboration of linkage nodes are enhanced, and the control process is promoted to be kept continuous and stable in a differentiated state.

The invention provides a drain valve leakage online monitoring method and system based on infrared thermal imaging and deep learning. Comprising the following steps: step 1, collecting a thermal image sequence of a drain valve area in real time through an infrared thermal imager, and simultaneously obtaining a drain valve start-stop signal; step 2, based on a steam trap start-stop signal, synchronously segmenting the thermal image sequence into a working state sequence and a shutdown state sequence according to a working period, and performing dynamic background difference processing on each frame of image to eliminate thermal inertia interference of equipment; 3, calculating a temperature gradient map of each frame of image, generating a temperature gradient mask, and highlighting temperature mutation characteristics of the leakage area; 4, constructing a two-channel time sequence compression network model; 5, evaluating the environmental interference degree based on the dynamic interference index, and dynamically adjusting a leakage judgment threshold value; and step 6, in combination with the leakage region area change rate, the temperature gradient change rate and the sensor data trend, carrying out graded judgment on leakage events, and distinguishing real leakage from background thermal interference through texture feature matching.

Embodiments relate to a level shifter including a first circuit unit configured to output a start signal, a reset signal, and a node charge signal to a gate driver in response to a start control signal and a node charge control signal that are input from a timing controller, a second circuit unit configured to output an output erase signal and a clock shift stop signal in response to the start signal and the reset signal, and a third circuit unit configured to generate a clock signal based on a clock control signal input from the timing controller and output the generated clock signal to the gate driver in response to the output erase signal and the clock shift stop signal that are output from the second circuit unit, a display device including the same, and a method of driving the display device.

The invention discloses a spiral air duct predictive operation and maintenance method and system based on digital twinning, and relates to the technical field of air duct system state monitoring and operation and maintenance, and the method comprises the following steps: deploying a high-frequency acoustic emission AE sensor and a low-frequency vibration acceleration sensor at key nodes of a spiral air duct, and taking a fan start-stop signal and operation power as working condition labels; a high-frequency acquisition mode is automatically triggered, noise reduction processing is carried out, and a multi-mode acoustic vibration original signal data set which is provided with a time sequence and a working condition label and is subjected to preliminary noise reduction is output; the high-frequency acoustic emission AE sensor and the low-frequency vibration acceleration sensor are arranged in the spiral duct, the health state of the thin-wall structure is monitored in real time through the high-frequency acoustic emission technology, weak early-stage fault signals in the duct can be accurately captured and early warning can be given out in the fault germination stage of fretting wear, sealant aging and the like of the spiral duct, and the fault early-warning effect is achieved. Real-time monitoring, early warning and accurate operation and maintenance of the spiral air pipe are achieved.

The invention provides a PLC unmanned truss control method and system, and relates to the technical field of truss control, and the method comprises the steps: S1, an upper computer inputs a target coordinate, a PLC generates a three-axis motion track based on an interpolation algorithm, and dynamically adjusts the speed curve of each axis; s2, the upper computer reads real-time state data of the PLC and writes a control instruction into the PLC according to the real-time state data; s3, if the sudden stop signal is detected to be triggered, cutting off the power supply of the servo driver, recording the fault type and the triggering time, generating a log file, and otherwise, entering the next step; s4, the PLC receives a task instruction of the upper computer, and motion parameters are dynamically adjusted according to feedback of the sensor; and S5, controlling each axis to micro-move through the upper computer, and recording the coordinates of the teaching points to generate a reproducible motion sequence. Through cooperative control of the PLC and the upper computer, a centralized management and decentralized execution mode is realized, and the risk of single-point failure is reduced.

The invention relates to a generation power control method, device and equipment of a slope type gravity energy storage system, a storage medium and a program product, and relates to the technical field of gravity energy storage. By adopting the method, the generated power stability of the slope type gravity energy storage system can be improved. The method comprises the following steps: according to power generation request power and unit output power of the slope type gravity energy storage system, determining the current demand number of generator sets; the current generator set is a power generation device comprising two rails; selecting a target number of trucks to be in place on a high-altitude platform of the slope type gravity energy storage system according to the demand number of the current generator set; in response to a power generation starting signal of the slope type gravity energy storage system, according to the truck acceleration control principle, a variable parameter mode is adopted, and the truck is controlled to slide down at wrong time; responding to a power generation stop signal of the slope type gravity energy storage system, and when it is recognized that all the truck slides down and stops on the low-altitude platform of the slope type gravity energy storage system, power generation is ended.

The utility model provides air supply equipment. The air supply equipment comprises an air supply main body, a filter assembly and a detection assembly, the air supply body is provided with an air supply channel. The filtering assembly is installed in the air supply channel. The detection assembly comprises a detection fan blade, a resistance piece and a detection piece. The detection fan blade is rotatably installed in the air supply channel. The resistance piece is used for applying resistance to the detection fan blades to prevent the detection fan blades from rotating. The detection piece is in communication connection with the air supply body and used for detecting whether the fan blades rotate or not. According to the air supply equipment, the filth blockage condition of the filter assembly is judged by detecting whether the detection fan blades rotate or not through the detection part, that is, when the rotation torque borne by the detection fan blades is smaller than the resistance, the detection fan blades stop rotating, the detection part generates a rotation stopping signal and feeds back the rotation stopping signal to the air supply main body, and the air supply main body stops working; and a user is reminded to replace the filter assembly in time, so that the failure of the air supply equipment caused by excessive impurities attached to the filter assembly is avoided, and the reliability and safety of the air supply equipment are improved.

The invention discloses a method for automatically setting a working frequency based on a field radio frequency environment, which relates to the technical field of wireless communication, and comprises the following specific steps of: acquiring field radio frequency environment data in real time through a wireless frequency data acquisition module, and storing the field radio frequency environment data in a database; the data processing module screens non-interference frequency points based on third-order intermodulation interference compatibility calculation, the working frequency of the receiver and the working frequency of the transmitter are dynamically adjusted through the equipment control module, and the database, the data processing module and the equipment control module cooperate to achieve automatic frequency switching. A receiver in the method is provided with a standby receiving sub-module, when it is detected that a current frequency point is interfered, the current frequency point is automatically switched to a standby frequency point, stable operation of a system is ensured, the transmitter synchronizes the frequency with the receiver through a communication protocol in a speaking state, signal transmission is stopped in a mute state, environment interference can be monitored in real time, manual intervention is not needed, and the method is suitable for popularization and application. Manual frequent manual operation for frequency adjustment is avoided, and the anti-interference capability of a wireless communication system is remarkably improved.

The invention relates to the field of equipment control, in particular to a water tank penetrating air source self-adaptive adjusting method and system. The method comprises the following steps: acquiring a finishing mill start-stop signal and a wire rod head position signal in real time; dynamically calculating the residual distance from the head of the wire rod to the penetrating water tank, and generating a dynamic delay opening threshold value; the electromagnetic valve is controlled to open the pneumatic ball valve in a sectional manner; monitoring the covering length of the wire rod and converting the covering length into an equivalent gas resistance value; a dynamic pressure compensation amount is generated through a pressure closed-loop controller; the opening degree of the pneumatic ball valve is adjusted accordingly; when the finishing mill stops, the pneumatic ball valve is triggered to be closed, and a gradient pressure relief turn-off program is executed if necessary. By means of the distributed sensor array and the multi-mode recognition neural network, real-time accurate monitoring and analysis of the operation state of the pump set are achieved, dependence of post personnel is reduced, and the automation degree and stability are improved. And by dynamically optimizing the control strategy, the pump set system operates efficiently, energy waste is reduced, the energy utilization efficiency is improved, and the production cost is reduced.

The invention belongs to the field of artificial intelligence and energy power system cross control, and particularly relates to a coal-fired unit fused salt combined frequency modulation control method and device based on deep reinforcement learning. According to the method, a deep reinforcement learning agent model is constructed, and boiler fuel quantity, steam turbine valve position, fused salt heat charging and discharging power and pump starting and stopping signals are dynamically output based on state space vectors; and tracking precision, thermal stress, emission and coal consumption indexes are fused through a multi-target reward function, and strategy autonomous optimization is realized by adopting a double-Q network, experience playback and target network delay updating mechanism. After deployment, the boiler, the steam turbine and the molten salt unit can be coordinated on line, power space-time decoupling and closed-loop cooperation are achieved, on the premise that main steam parameter stability and equipment safety are guaranteed, the frequency modulation response speed and precision are remarkably improved, the thermal fatigue risk is reduced, and the unit economy and the power grid adaptability are enhanced. And a flexible adaptive adjustment capability is provided for a high-proportion new energy power system.

The invention relates to the technical field of integrated circuit testing, and discloses a method and equipment for scanning a voltage and current flip point of a chip, and the method comprises the following steps: an upper computer completes parameter configuration and wave table loading and then sends a starting instruction, a global synchronization unit generates a synchronization signal, and the synchronization signal is sent to a chip; the random waveform generator is started in parallel for scanning, the trigger unit is started for monitoring, the internal counter is started for timing, when the trigger unit monitors overturning, a stop signal is sent, the global synchronization unit latches a count value immediately, and finally, the upper computer reads the count value and calculates an overturning point value in combination with a wave table rate and a clock period. According to the invention, the global synchronization unit is used for coordinating the parallel hardware architecture of the arbitrary waveform generator and the trigger unit, so that the continuous scanning of the excitation signal and the real-time monitoring of the response signal can be autonomously operated on the hardware level, and the overall time consumption of a single flip point test is greatly shortened.

The invention relates to the technical field of pollution source supervision, and discloses a pollution source off-site supervision method and system based on big data, and the method comprises the steps: building a dynamic verification rule library through coupling the operation beat data of enterprise key equipment and the total power consumption fingerprint data, and comparing the matching degree between the actual energy consumption and the expected mode in real time and generating a process credibility index. According to the invention, conversion from traditional pollution discharge data verification to production process stability verification is realized, and an unforgeable supervision trust mechanism is constructed through the physical relevance between the equipment start-stop signal and the power utilization characteristic; and meanwhile, the judgment accuracy under the extreme working condition is ensured by utilizing environmental parameter dynamic compensation and micro-differential pressure bypass verification, and finally a quantifiable accumulation enterprise environmental protection credit evaluation system is formed.

The utility model provides an oil-electricity hybrid power control system, which is suitable for a vehicle and comprises a storage battery, an integrated starter generator coupled to the engine; the hybrid power controller is used for receiving at least one of an accelerator opening degree signal, a brake signal, an engine rotating speed signal, a storage battery voltage signal, a starting signal and an idling stop signal and determining whether to perform one of a starting mode, a charging mode, an auxiliary power judgment mode, a regenerative charging judgment mode and an idling stop judgment mode according to the at least one of the accelerator opening degree signal, the brake signal, the engine rotating speed signal, the storage battery voltage signal, the starting signal and the idling stop signal; when the hybrid power controller is in a charging mode, the integrated starter generator is driven by the engine to generate and output a first AC voltage to the hybrid power controller, so that the hybrid power controller performs switching voltage regulation control according to the first AC voltage to generate output power to charge the storage battery and the vehicle load.

The present disclosure relates to devices, systems and / or methods for myopia control. The present disclosure generally relates to a lens that provides a stop signal for myopia on a substantial portion of the spectacle lens being used by a viewer. The present disclosure relates to devices, methods and / or systems for applying a stop signal for eye development using ophthalmic lenses in combination with microlens arrays. The present disclosure also relates to devices, methods and / or systems for modifying incident light through spectacle lenses that utilize color cues to slow down the rate of myopia progression. The present disclosure relates to devices, methods and / or systems for applying a stop signal for eye development using spectacle lenses in combination with refractive and / or diffractive optical elements that provide conflicting or opposition optical signals at wavelengths between 510 nm and 610 nm.

The invention discloses a display module, a driving method thereof and a display device. The display module comprises an initial signal line, a first control signal line and a gate driving circuit, the initial signal line is used for providing an initial signal; the first control signal line is used for providing a stage transmission stop signal; the gate drive circuit comprises a plurality of shift register circuits in cascade connection, the shift register circuits are connected with a first control signal line, and the first shift register circuit of the plurality of shift register circuits is connected with an initial signal line; the shift register circuit is used for generating a scanning signal under the condition that the initial signal is received or the scanning signal output by the previous shift register circuit is received; and the shift register circuit is also used for stopping generating the scanning signal under the condition that the cascade transmission stop signal is received. According to the invention, the display panel can adopt different refresh rates in different display areas, so that the power consumption of the display panel is reduced.

The invention relates to a double-air-path control method, device and equipment for a binding system.The method comprises the steps that when it is detected that a human limb is placed in a cuff body support, a laminated air bag is inflated through a first air path, and when the obtained first air bag pressure value of an inner-layer air bag meets a first preset air bag pressure value, the first air bag pressure value of the inner-layer air bag meets a second preset air bag pressure value; generating a laminated airbag inflation stopping signal; when an inflation stopping signal of the laminated air bag is detected, inflation of the laminated air bag is stopped, and a current function instruction of the binding system is obtained; when the current function instruction is a blood pressure measurement instruction, the inner-layer air bag is inflated through a second air path, and when the obtained second air bag pressure value of the inner-layer air bag and the obtained pulse fluctuation value of the human limb meet the preset blood pressure measurement requirement, the laminated air bag and the inner-layer air bag are exhausted; compared with the prior art, according to the technical scheme, the automation degree of binding can be achieved, and the accuracy of follow-up measurement and the user experience are improved.

The invention discloses an air conditioner energy demand control method and system, and the method comprises the steps: obtaining a start-stop signal, carrying out the initialization processing of a compressor based on the start-stop signal, and obtaining the nominal performance of an indoor unit and the single rotation speed of the compressor; the real-time environment temperature is obtained, and a first indoor unit function demand value is determined based on the real-time environment temperature, indoor unit nominal performance, the compressor single rotating speed and a preset mapping rule; obtaining the running state of the compressor, and obtaining a second indoor unit energy demand value based on a preset energy demand prediction model, the real-time environment temperature and the running state of the compressor; the energy demand prediction model is constructed based on a machine learning algorithm and historical operation data; performing weighted fusion on the first indoor function demand value and the second indoor function demand value to determine a target indoor function demand value; and the target rotating speed is calculated based on the target indoor unit energy demand value, a control instruction is generated based on the target rotating speed, and air conditioner energy demand control is completed based on the control instruction, so that the air conditioner system dynamically responds to the indoor thermal load and accurately adjusts the indoor thermal load.

The invention discloses a device and a method for automatically measuring the depth of a concrete surface, and relates to the technical field of methods for measuring the depth of the concrete surface. The measuring assembly comprises a winding drum, a position sensing switch and a depth measuring part; a depth measuring piece is arranged on the winding drum; the position sensing switch is positioned below the winding drum; when concrete surface depth measurement begins, the position sensing switch is pressed to be in an on state; when the depth measuring piece is in contact with the concrete surface, the pressure applied to the position sensing switch disappears, and the position sensing switch is switched to be in an off state; the depth measuring unit calculates a depth value corresponding to the time from the start of the measurement to the reception of the measurement stop signal. The device can replace manpower to carry out concrete drop hammer measurement, time and labor are saved, convenience and rapidness are achieved, and the measurement efficiency and accuracy can be remarkably improved.

The invention relates to a two-step time-to-digital converter and a method thereof, a phase-locked loop and an analog-to-digital converter. The method comprises the following steps of: performing N1-stage delay on a reference signal rs in sequence, and performing coarse quantization on the delayed signal of each stage relative to a feedback signal fb; when the two signals are different, after the time t1 is delayed, the first arriving signal is selected as a time starting signal Start and the fb is delayed for the time t1 and then serves as a time stopping signal Stop in the delayed period, and when the two signals are the same, the rs is selected as Start after the time t2 is delayed, and the fb is selected as Stop after the time t2 is delayed; performing fine quantization formation on the Start and the Stop; and decoding the code into n1-bit high-bit binary codes and decoding the code into n2-bit low-bit binary codes. The technical problem that the area and power consumption of an existing two-step TDC are increased due to the fact that the number of logic gates of a selector is greatly increased along with the increase of coarse quantization bits is solved.

The invention belongs to the technical field, and discloses a logistics conveying line energy consumption management and safety control system. Comprising a power management module, a network communication module, a transmission line equipment module and a main control module. By collecting load data, speed regulation data and material tracking data of conveying line equipment, a load fluctuation coefficient and a speed switching frequency are calculated, and a multi-section speed control oscillation risk value is determined. And a dynamic damping factor and a feedforward compensation factor are introduced to generate an optimized speed regulation instruction, so that the oscillation risk is effectively reduced. And in combination with real-time power supply state data of the power management module, an energy consumption optimization distribution scheme is generated, and a safety control instruction is generated based on the operation state data and the sudden stop signal. And recording an association relationship between the material tracking data and the speed adjusting instruction through the tracking database, and generating an energy consumption tracking report. The operation stability of the logistics conveying line is remarkably improved, the energy consumption is reduced, the system safety is enhanced, and the material conveying efficiency is improved.

A safe and reliable trolley relates to the technical field of cranes and comprises a trolley frame, a duplex winding drum, a lifting hook and a balance mechanism, a balance mechanism for fixing a steel wire rope is arranged on the other side of the top of the trolley frame; arc-shaped dragging pads and first limiting switches for detecting broken shafts are arranged at the bottoms of the two ends, corresponding to the duplex winding drum, of the trolley frame; safety reverse hooks capable of being clamped with corresponding track beams are arranged on the two sides of the bottom of the trolley frame; a lifting hook is arranged below the trolley frame; the top of the lifting hook is rotationally connected with a movable pulley block; the two steel wire ropes are wound around the two ends of the duplex winding drum respectively and correspondingly connected with the balance mechanism after being wound around the movable pulley block. When a shaft is broken, the corresponding end of the duplex winding drum falls on the arc-shaped dragging pad and is locked by the arc-shaped dragging pad, and meanwhile, the first limiting switch is triggered to send a shutdown signal, so that the situation that the driving device continuously drives the duplex winding drum to rotate, and the duplex winding drum rolls off from the trolley frame is prevented.

The invention discloses an AI dialogue flow control method, system and device supporting real-time interruption of a user, a medium and a program product. The method comprises the steps that a user request is received, and a flow session is established; based on the stream session, requesting LLM increment generation, receiving fragments generated by increment, returning the fragments, and pushing the fragments to the client; when a click stop request of a user is received, an STOP signal is sent; when the STOP signal is monitored, sending a mark termination request; after a mark termination request is received, a subsequent generation termination request is sent to the LLM, a STREAMTERMINATED semantic event is published and broadcasted, and generated content and a termination mark are returned to the client; terminating subsequent generation comprises stopping untriggered subsequent reasoning and tool chain calling; discarding the tail cache which is not sent; and recording the output token count, and terminating the offset. The AI dialogue flow control method supports real-time interruption of the user, is low in delay, clear in semantics and recoverable, and further has the advantages of saving resources, being high in stability, capable of being universally expanded, gaining behavior analysis and the like.

The invention discloses a docking station detection method and system based on data analysis, and relates to the technical field of electronic equipment maintenance, after an emergency stop signal is received, a docking station is shut down, and state data before shutdown is recorded, so that key operation information can be stored when the docking station is abnormal. According to the method, the detection model is constructed based on the convolutional neural network, parameter configuration optimization information is obtained through iteration, and the model is optimized, so that the model can better adapt to the operation characteristics of the docking station, and the fault detection capability is improved. And based on the detection model and the operation information, identification analysis information is generated, including a troubleshooting mark, flow direction tracking information and a target locking signal, and the information can help to quickly determine the position, the influence range and the diffusion condition of a fault. And the sudden stop signal is eliminated according to the target locking signal, the recovery rate of the abnormal feature type is analyzed, and the detection model is updated according to the recovery condition.

The invention relates to the technical field of electricity approaching early warning, in particular to a transformer substation operation vehicle electricity approaching early warning method and system based on space logic calculation. The method comprises the following steps: constructing a static safety electronic fence of the electrified equipment of the transformer substation, continuously generating differential correction data, simultaneously carrying out carrier phase differential calculation, and outputting real-time three-dimensional coordinate data of an operation vehicle and a moving part; the space coordinates of the static safety electronic fence and the real-time three-dimensional coordinate data of the operation vehicle and the moving part are input into a space logic calculation unit for real-time space distance comparison and logic operation, and the grade of an early warning area where the operation vehicle is located is judged; a forced stop signal is sent according to the judged early warning area grade; and after receiving the forced stop signal, the active stop device is driven by the controller to realize forced stop of the vehicle, and continuously feeds back a braking state to the spatial logic calculation unit to form a safe closed loop. According to the invention, the operation safety of the substation operation vehicle can be obviously improved.

The application discloses a kind of trusted time transfer device and method, it is related to trusted time transfer technical field, including network management system and trusted time transfer equipment;Network management system is used for equipment identity solidification and authentication and equipment operating state real-time monitoring;Trusted time transfer equipment is based on trusted time signal reception relay module, equipment identity authentication pre-solidification mechanism, two-way certificate verification and transmission encryption mechanism, equipment failure stop signal transmission mechanism and the traceability and proof mechanism of time signal, real-time measurement is carried out to trusted time signal, time delay compensation, signal amplification processing is transferred out;The application ensures that itself is not replaced by strict control mechanism;On signal processing, the controllability of time real-time detection and time delay compensation is realized;In addition, it also provides a feasible path for the traceability verification and credibility proof of time signal with time relay function.

The invention provides a tool clamping state online monitoring and control system based on an intelligent tool handle. The intelligent cutter handle of the system is integrated with a temperature sensor and a position sensor, cutter temperature and position signals in the composite material machining process can be accurately and efficiently obtained in real time, and therefore the cutter clamping state is reflected. The intelligent knife handle lower computer wirelessly transmits the position and temperature signals to upper computer software to be displayed and stored. The system sets a signal threshold value according to data information when tool falling occurs, and judges whether a tool clamping failure abnormal state exists or not in real time. Once the upper computer software monitors the abnormal state of the cutter, an emergency stop signal is sent to the numerical control machine tool control unit in time to quickly close the machine tool spindle, the machining rejection rate is reduced to the maximum extent, and the purpose of improving the machining efficiency is achieved.

The invention discloses a trusted time transmission device and method, and relates to the technical field of trusted time transmission, and the device comprises a network management system and trusted time transmission equipment; the network management system is used for equipment identity solidification and authentication and equipment operation state real-time monitoring; the trusted time transmission device performs real-time measurement, time delay compensation and signal amplification processing on a trusted time signal based on a trusted time signal receiving relay module, a device identity authentication pre-curing mechanism, a bidirectional certificate verification and transmission encryption mechanism, a device fault stop signal transmission mechanism and a time signal traceability and proving mechanism, and then transmits the trusted time signal; it is ensured that the device is not replaced through a strict control mechanism; in the aspect of signal processing, the controllability of time real-time detection and time delay compensation is realized; in addition, the time relay function is achieved, and a feasible path is provided for traceability verification and credibility proof of time signals.

The present application relates to the technical field of coal sampling machinery, and particularly relates to a novel automobile sampling machine, which comprises a sampling execution device, a sample processing device and a control device. The sampling execution device is provided with a screw drill type sampling head, a driving mechanism, a lifting mechanism and a cleaning mechanism; the sample processing device comprises a sample collector and a sample preparation unit. The control device is connected with each device through an industrial communication bus and is configured to perform a sampling point random determination operation to generate coordinate information, control the sampling head to move to a target position, then drive the outer cylinder sawtooth structure to rotate and cut and break the lump coal in a breaking mode, and then switch to a sampling mode to drive the internal drill rod to drill and sample; the sampling amount is monitored through a sensor to generate a stop signal, the sampling head is controlled to be lifted to the sample collector to release the coal sample, and finally the cleaning mechanism is started to clean the residues. The present application realizes the automatic sampling of coal of all particle sizes and effectively solves the sample distortion problem caused by the fact that lump coal cannot be sampled.

The invention provides a heterogeneous task lock scheduling system and a control method thereof.The heterogeneous task lock scheduling system comprises a task lock scheduling module, the task lock scheduling module calculates a lock weight actual value corresponding to a current task, compares the lock weight actual value with a lock weight threshold value, and sends the lock weight actual value to the current task; according to the task type and the comparison result, a task lock type matched with the current task is allocated to the current task; the core domain module comprises an RTOS core domain and a Linux core domain which communicate with each other, and can dynamically adjust a core domain type bound with a current task according to a processing stage; an emergency response channel through which an emergency stop signal can be sent into the RTOS core domain; the real lock weight value corresponding to the current task is calculated through the task lock scheduling module, the real lock weight value is compared with the lock weight threshold value, and therefore the task lock type matched with the current task is allocated to the current task according to the task type and the comparison result, and the problem of real-time performance instability caused by task lock competition of the CNC system under the AMP architecture is solved.