1166 results about "State control" patented technology

An electric motor based system includes an electric motor; an electric motor power controller for controlling the electric motor; a first control unit, adapted to provide first control signals for the electric motor power controller; an electric power storage device adapted to power the electric motor power controller; a first sensor adapted to determine information related to power exchange between the electric power storage device and the electric motor power controller; and a second control unit, wherein the second control unit is adapted to pass the first control signals, received from the first control unit, to the electric motor power controller in a first mode and adapted to provide second control signals for the electric motor power controller in a second mode; and the second control unit inputs and exploits the information.

The invention relates to the technical field of mobile energy storage vehicles, and discloses an AI-based mobile energy storage vehicle running state monitoring and analysis system which comprises a main controller, an AI monitoring coprocessor and a state analysis coprocessor. The main controller calls a monitoring analysis instruction and sends the monitoring analysis instruction to the state analysis coprocessor; an AI monitoring coprocessor dispatches a state analysis instruction and processes multi-modal data; and the state analysis coprocessor analyzes the parameters to generate a reference monitoring signal, cooperatively monitors the battery temperature, the charging and discharging efficiency and the load fluctuation in real time, and generates an abnormal correction signal and a state control instruction in combination with an analysis optimization mode. The system realizes accurate analysis of multi-source data and dynamic control of the energy storage unit through data preprocessing, feature dimension reduction and deep neural network prediction, improves monitoring accuracy, dynamic adaptability and intelligent level, and ensures safe and efficient operation of the mobile energy storage vehicle.

The invention relates to the technical field of engineering control, in particular to a hoisting control method of a safe and portable hoisting cage, which comprises a hoisting pre-stage, data pre-acquisition and analysis before hoisting, a hoisting control stage and hoisting landing control. In the prior art, position closed-loop control mainly depends on a stroke encoder and a position sensor, dynamic swing deviation caused by wind disturbance is difficult to accurately pre-judge and counteract in real time, and the defects of control lag and insufficient response exist. According to the scheme, the motion trail and posture of the cage are predicted in advance based on simple pendulum dynamic model numerical solution and the Runge-Kutta method, high-precision deviation detection is carried out in combination with a virtual-real vision calibration technology and AR enhanced display, a cage motion state control model based on feedforward prediction is established, trail prediction errors are greatly compressed, and the accuracy of the motion state of the cage is improved. The forward-looking inhibition of the movement of the cage, especially wind-induced swinging, is realized, and the accuracy and the response speed of an active swinging inhibition measure are obviously improved.

The invention relates to the field of industrial production, and discloses a predictive maintenance system for an ultra-efficient explosion-proof motor based on digital twinning, which comprises the following steps: when key operation parameters of the motor deviate from a normal working condition interval, judging whether the key operation parameters reach a digital twinning model activation threshold value or not; based on historical operation data, sensor real-time data and environmental factors, a digital twin model is called to construct virtual mapping of motor operation, a current state evolution trajectory is generated, and whether the operation trend has a fault or not is predicted; the state track change mode is matched with a historical fault library, and whether a potential fault path exists or not is evaluated; according to the fault risk level and the predicted occurrence time, in combination with the current production plan and the equipment health tolerance, whether an advanced intervention measure needs to be taken is judged; and generating an intervention scheme according to state regulation and control parameters fed back by the digital twinning model in combination with specific working conditions. The method has the advantage that the operation safety and the maintenance efficiency are improved.

The invention relates to the technical field of air conditioners, in particular to a machine room air conditioner operation state control method and system.The method comprises the steps that parameter data at the current moment are input into a temperature prediction model, and predicted temperature data at the next moment are obtained; wherein the parameter data comprises an actual temperature and a target temperature in the machine room; acquiring a current predicted difference value between the predicted temperature data and the target temperature; when the current prediction difference value is greater than or equal to a threshold value, evaluating a temperature prediction model to obtain an evaluation result; the evaluation result is the similarity between the historical actual temperature data and the corresponding historical predicted temperature data; when the evaluation result is larger than a set value, the current machine room air conditioner operation state is controlled and adjusted; otherwise, repeated training is carried out according to the comprehensive loss function to update the temperature prediction model. According to the scheme, the accuracy of machine room air conditioner operation state control can be improved.

The invention discloses an RISC-V-based thread bundle scheduling method and device and a medium, belongs to the technical field of general graphics processors, and aims to solve the technical problem that the execution efficiency of instructions is affected by the fact that an existing thread bundle scheduling module is affected by a synchronous fence mechanism and a thread bundle scheduling strategy, and the thread bundle scheduling efficiency is easily reduced. The method comprises the following steps: performing instruction configuration on a current thread bundle state to obtain a real-time thread bundle state instruction; performing state control on the thread bundle queue to obtain a state change control strategy; performing instruction fetching sequence control on the thread beam queue, and determining a thread beam instruction fetching control strategy; performing address fetch control on the thread bundle queue, and determining an address type control strategy; and performing thread beam scheduling processing based on a thread beam scheduling system architecture on the thread beam queue through the real-time thread beam state instruction and the thread beam scheduler after the strategy configuration is completed to obtain a thread beam scheduling result.

The invention provides a coordination control method and device for off-grid new energy hydrogen production, electronic equipment and a medium, and relates to the technical field of new energy hydrogen production. The coordination control method for off-grid new energy hydrogen production comprises the following steps: performing first coordination control on off-grid new energy hydrogen production based on a steady-state control mode under the condition that the actually measured current frequency of a system is within an adjustment dead zone range; under the condition that the current frequency of the system is not in the adjustment dead zone range, performing second coordination control based on the transient state control mode; after the second coordination control, under the condition that the current frequency of the system is not in the adjustment dead zone range, third coordination control is carried out on off-network new energy hydrogen production based on the emergency control mode; and after the third coordination control, under the condition that the current frequency of the system is not in the adjustment dead zone range, determining a to-be-cut power value of off-grid new energy hydrogen production according to an overcut principle. According to the method, the load adjusting characteristic of the hydrogen production electrolytic cell is considered, source-load interaction is achieved, and the absorption rate of new energy is increased.

A queue storage management system under an RDMA network comprises a data management module, a network transmission module, a data storage module and a queue management module which run on an FPGA platform. The data management module is bidirectionally interconnected with the network transmission module, the data storage module and the queue management module respectively; the data management module comprises a main control processing sub-module, a logic control sub-module, a data caching sub-module and a data checking and processing sub-module; the main control processing sub-module is respectively and bidirectionally interconnected with the logic control sub-module, the data caching sub-module and the data checking and processing sub-module, and is used for controlling the overall working logic of the system, including data storage management, scheduling of data transmission, working state control, dynamic allocation of system resources, abnormal state processing and starting of a fault-tolerant mechanism; the method can be more flexibly deployed in various application scenes; for multi-level abstraction of an interface, network layer queue processing and storage layer queue processing are hidden for a user level, a user does not need to care about how to process queues in a data transmission process, and only needs to care about correctness of instruction transmission, so that the system is easy to deploy and use, and has the advantages of high operation efficiency, flexible deployment and high efficiency. And the availability is high.

The invention relates to the technical field of non-electrical variable control, and discloses an industrial water chiller temperature intelligent adjusting system, which comprises a refrigeration circulation loop and a control unit, the control unit calculates a steady state control component based on the water outlet temperature deviation, performs differential processing on the refrigerant pressure to extract the gradient, and outputs the gradient. Generating a transient compensation component when the gradient exceeds a dynamic noise threshold; according to the method, the problem of thermal lag is solved by utilizing the pressure wave transmission speed advantage, aggressive response is prevented from triggering low-pressure shutdown through a safety margin constraint mechanism, the pressure safety margin is calculated in real time, a gain coefficient is determined according to a nonlinear model, and a final driving instruction is generated. And the dynamic balance of the control response speed and the system physical security boundary is realized.

The invention discloses an intelligent charging pile operation safety management and control system, and belongs to the technical field of charging pile safety management and control. The charging pile monitoring module is used for monitoring operation data of each charging pile, and the operation data comprises electrical data, environmental data and mechanical data; the safety state control model is used for obtaining the safety state control model of the charging pile through a neural network according to the operation data of the charging pile, simulating the stable state and the safety change trend of the charging pile under different working conditions, and predicting the operation state of the charging pile; meanwhile, an evaluation index of the operation data is set, a target threshold value is set for the evaluation index, and a safety strategy is preset for the evaluation index; therefore, the safety attribute of the charging pile is judged, and a safety strategy corresponding to the operation data is matched. The safety and stability of the charging pile are improved.

The invention provides a method for simulating bypass ratio regulation and control under the complete machine condition of a turbofan engine, and the method is realized based on a double-shaft compressor tester, and belongs to the field of aero-engine tests.The method comprises the steps that control parameters under the complete machine state are determined; determining the control precision of the test state control parameters of the double-shaft compressor tester; constructing a control module which stores an adjusting rule in a whole machine state and is used for enabling the rotating speed of the fan and the rotating speed of the high-pressure compressor to be in a linkage mode in the test process; the fan pressure ratio is monitored, an outer culvert throttling valve is adjusted, then an inner culvert throttling valve is adjusted, the high-pressure compressor pressure ratio is monitored at the same time, and finally the inner culvert throttling valve and the outer culvert throttling valve are adjusted at the same time, so that the high-pressure compressor pressure ratio and the fan pressure ratio meet the requirements; the state of the double-shaft compressor tester is kept stable, and compressor parameters are collected through an inner and outer culvert exhaust collection device; the rotating speed of the high-pressure compressor or the rotating speed of the fan is adjusted according to the rotating speed difference of the fan and the high-pressure compressor in the complete machine state, and parameters of the compressor are collected after stabilization.

The invention relates to the technical field of boiler control, and discloses a gas-fired boiler starting control method and system. The method comprises the following steps: acquiring initial operation parameters such as hearth pressure, water inlet temperature, flue gas oxygen content and fuel valve opening of the gas-fired boiler, establishing a thermodynamic state model in a starting stage according to the initial operation parameters, and dividing dynamic response thresholds of different load intervals; and calculating a theoretical fuel supply rate of the combustor based on the model, generating and dynamically updating a fuel supply correction coefficient in combination with a threshold value, synchronously marking key nodes according to abnormal distribution of hearth temperature, and adjusting a spatial air distribution strategy of the combustor. And after the correction coefficient is subjected to multi-stage buffer smoothing, a fuel control instruction is output to an executing mechanism. And switching to steady state control after the boiler reaches the preset load. The method adapts to the characteristics of a power plant unit, so that the starting process is more stable, the damage to a heated surface and pollutant emission are reduced, and rapid grid connection is assisted.

The invention relates to the technical field of intelligent control of refrigeration equipment, in particular to an artificial intelligence-based screw compressor running state control system and method, which comprises a signal acquisition unit, a disturbance identification unit and a compressor control unit, the signal acquisition unit acquires a refrigeration house door opening and closing state time sequence signal and three-dimensional temperature field change data, the disturbance identification unit synchronously locks the door opening moment through a timestamp, divides a core influence area and a stable conduction area, analyzes the correlation between the temperature change rate and the door opening angle and the temperature fluctuation amplitude, and determines the temperature change rate of the door opening angle. And the door opening disturbance or equipment abnormity identification factor is output, and the compressor control unit executes differential regulation according to the door opening disturbance or equipment abnormity identification factor, so that the problems of disturbance misjudgment and regulation rigidity in traditional control are solved, and the operation stability and energy consumption control precision of the compressor are improved.

The invention relates to the technical field of energy-saving control, in particular to a computer energy-saving state control method and system, and the method comprises the following steps: constructing a task graph model based on a computer task dependency relationship, calculating a dependency intensity value between tasks, recognizing a task resource scheduling sequence, and analyzing the association degree between the tasks; tasks with high dependency are preferentially distributed to shared computing resources, and a task relevance scheduling scheme is generated. In the invention, through dynamic scheduling based on the task load and the dependency relationship, the system can accurately adjust the allocation and the power state of the computing resources under different loads, improve the resource use efficiency when the load is high, monitor the power consumption and the temperature change of the computing unit in real time, and dynamically adjust the working mode and the frequency of the computing resources; excessive energy consumption and heat accumulation are effectively avoided, the system can adjust the power state according to the actual demand of a task, efficient energy use of the system is kept, unnecessary resource consumption and temperature fluctuation are reduced, and the overall energy efficiency is improved.

The invention is suitable for the technical field of automatic driving vehicle control, and provides a full-state control method for dynamic drifting of a distributed driving vehicle, which comprises the following steps of: tracking a reference path to obtain an expected state quantity; establishing a dynamic error of a full state to obtain expected state derivatives of the velocity, the side slip angle and the yaw velocity; calculating a rear tire force weight, and implementing rear tire force constraint of the distributed driving vehicle; inverting the vehicle dynamics model to obtain expected longitudinal force and lateral force of each wheel; performing tire model inversion to obtain an expected front wheel slip angle and wheel speed of each wheel; and according to the expected front wheel slip angle and the wheel speed of each wheel, an actuator is adjusted, and control instructions of the steering wheel angle and the torque of each wheel are generated. The state of the vehicle can be accurately controlled, the maneuverability of the vehicle is good during conventional turning and limit drifting, and the vehicle can flexibly cope with complex working conditions; the stability and safety of the vehicle are enhanced, and the full-state dynamic drift control of the distributed driving vehicle is realized.

The invention discloses an intelligent computer network information security control system, and particularly relates to the technical field of network information security control, and the system comprises a terminal equipment security evaluation module, an access control module, a network state control module, a backup data security control module, an early warning display module and a database. According to the method, the security level of the terminal equipment is comprehensively evaluated by acquiring each parameter of the terminal equipment, and password verification strategies of different levels are set according to the security level of the terminal equipment, so that the protection capability of the terminal equipment with low security level is enhanced, the influence of malicious terminal equipment on a hospital patient information server is effectively avoided, and the safety of the hospital patient information server is improved. And the convenience of login verification of the high-security-level terminal equipment is improved. The security level of the backup data of the hospital patient information server is analyzed, the response measures corresponding to the security level of the backup data are implemented, and the security and continuity of the backup data are ensured.

The invention discloses a water-to-air cross-medium adaptive cooperative control method, and belongs to the technical field of cross-medium aircraft control. In order to overcome the hysteresis defect of cross-domain control of a cross-medium aircraft, through the steps of multi-source sensing and disturbance prediction, cross-modal strategy preloading and power excitation, structure unfolding and transient energy coupling, pneumatic steady-state control and fractal recursive optimization and the like, microsecond-level fluid disturbance pre-judgment is achieved through a chaos phase synchronization engine; and in combination with fractal recursion reinforcement learning compression attitude control errors, the millisecond delay problem of nonlinear disturbance real-time prediction and compensation in the cross-medium process is solved. According to the method, the control precision and stability of the aircraft in cross-medium motion can be improved, smooth transition of a water-air dynamic model can be realized, and the reliability of the aircraft in a complex sea-air interaction scene is enhanced.

The invention provides an intelligent fan running state control system based on multi-source data, and relates to the field of wind power generation, and the intelligent fan running state control system comprises the steps: firstly, collecting a time sequence set of running parameter data of a target fan object and a time sequence set of electric field outlet power data, and then constructing a field domain-equipment two-stage information fusion mechanism; and performing mutual information guided deep interaction on the global time sequence characteristics of the electric field outlet power and the local time sequence characteristics of the single machine operation parameters, thereby optimizing the expression of the self-information of the fan operation state by using the time sequence characteristics of the electric field outlet power, determining the detection result of the fan operation state, and determining the early warning level and the control strategy. The method is used for breaking through the technical bottleneck of decoupling of global context information and local equipment state of wind power plant operation in a traditional method, and is beneficial to more accurate detection and control of the operation state of the fan.

According to the heterogeneous multi-core chip power consumption state control system and the heterogeneous multi-core chip provided by the invention, the power consumption state request of each sub power supply domain is received through the set system hardware power consumption management module, and the driving signal is sent to the corresponding sub power supply domain according to the preset hardware time sequence, so that the corresponding sub power supply domain enters the target state; generating a PMU control signal; and the power management module drives an internal voltage regulator to execute corresponding regulation operation according to the PMU control signal. A special control processor (SCP) is not needed, the system hardware power consumption management module realized by pure hardware is adopted to directly control the power consumption state of each sub power supply domain in the heterogeneous multi-core SoC, the software processing delay is eliminated, the response speed is high, the static power consumption of the power consumption management module is remarkably reduced, and the system is particularly suitable for an ultra-low power consumption scene and has a wide application prospect. And hardware-level surge current protection is realized in a multi-core power-on process.

The invention discloses a linkage control system and method for cold energy storage and release in an energy storage low-temperature interval, belongs to the technical field of energy storage system temperature control, and aims to solve the problems that traditional energy storage cold energy regulation is lagged, cold energy waste is serious, and dynamic changes of working conditions are difficult to adapt. According to the system and method, cold release judgment is triggered based on the environment temperature and the temperature of an energy storage module, a cold release interval is defined by predicting the environment temperature and the temperature of the energy storage module in a fitting mode, a temperature prediction curve is dynamically corrected in combination with real-time working conditions, cold release subintervals are divided, and a cold release control instruction is generated; and meanwhile, the temperature of the energy storage module is monitored in real time to correct the cooling capacity release control instruction, and a cooling capacity recovery instruction is generated by monitoring the temperature of the cooling liquid. Accurate steady-state control over the temperature of the energy storage module and efficient circulation of the cooling capacity are achieved, and the operation economical efficiency and safety of the energy storage system are remarkably improved.

The invention discloses a virtual machine monitoring and management system supporting whole vehicle mode management of an intelligent vehicle, and belongs to the technical field of virtual machine monitoring and management. Comprising a virtual machine monitor; the virtual machine manager is used for configuring and analyzing the virtual machine; the state manager is connected with the virtual machine monitor and the virtual machine manager and is used for managing the whole vehicle mode of the intelligent vehicle; and the whole vehicle mode manager is connected with the virtual machine monitor, the virtual machine manager and the state manager, and carries out mode switching processing according to the updated mode condition result. The technical scheme has the beneficial effects that the control of the virtual machine is optimized from static configuration to centralized control, the management strategy and the control strategy of the virtual machine are separated, and on-demand starting and control are carried out according to the configuration or runtime condition, so that the management of the virtual machine is more flexible and efficient, and the user experience is improved. Virtual machine state management and whole vehicle mode state control are fused, and the full-systematic design and management requirements of the intelligent vehicle for resources and states are met.

The invention discloses a lift force and torque direct closed-loop control and fault-tolerant operation method and device for a six-rotor aircraft. By using the controller obtained by the invention, an optimal current instruction can be directly obtained from a lift instruction and a torque instruction, and a traditional cascaded rotating speed calculation module and a plurality of rotating speed controllers are uniformly replaced; the obtained control system can realize direct closed-loop control of the lift force and the torque, not only significantly improves the dynamic performance of the lift force and the torque, but also integrates the rotating speed resolving process using the aerodynamic parameters into the controller, and can eliminate the steady-state static error caused by mismatch of the aerodynamic parameters by means of an auxiliary disturbance observer. The steady-state control precision and the system robustness of the lift force and the torque are enhanced; and finally, for different fault modes, reconstructing a fault prediction model, a fault controller and a fault-tolerant operation control system suitable for different faults, so that excellent fault-tolerant operation of the multi-rotor aircraft in some fault modes is ensured, and the safety and reliability of operation of the multi-rotor aircraft are improved.

The invention provides a deep sea hydrothermal sampling system benthonic submersible and a state control method, and the method comprises the steps: planning a motion track according to a task demand, and dynamically adjusting the control force distribution weight of a propeller and a mechanical leg system according to an error between an actual motion state and an expected value, thereby optimizing the motion performance, and improving the stability of the underwater submersible. Through thrust distribution and inverse dynamics decomposition, the thrust and rotating speed of each propeller and the joint torque of the mechanical leg are accurately controlled, through the combined action of the mechanical leg and the propeller, the pose stability of the benthonic submersible in the working process is kept, the benthonic submersible has the capabilities of resisting ocean current interference and adapting to rugged terrains, and then the position pose precision of a hydrothermal sampling system is guaranteed. The operation efficiency is ensured, a closed-loop control system fuses sensor data, the data are processed by a state observer / filter, and the actual state of the submersible is fed back in real time, so that the precision and stability of motion control are improved, and the operation capability and adaptability of the submersible in a complex environment are enhanced.

The invention discloses a storage tank pressurization control method and system based on LNG gas station fuzzy self-adaptive PID control, and aims to solve the technical problems that a traditional pressurization control method of an LNG storage tank is low in control precision, poor in stability and rapid in equipment abrasion. According to the control method, dynamic compensation for the target pressure is introduced, so that the system can aim at a more accurate control target in the initial stage, the steady-state control deviation is reduced, and the control precision is improved. And static pressure head change disturbance caused by liquid level change is overcome through dynamic compensation, the adjusting burden of the controller is reduced, the controller can focus on processing other dynamic disturbance, and therefore the control process is more stable, and overshoot is smaller. Through the design of a dynamic compensation mechanism and a special fuzzy rule base, the system can automatically adapt to various complex working conditions, and fast, stable and overshoot-free pressure control is always kept. Therefore, frequent and large-amplitude action and surge phenomena of the valve are avoided, and the energy consumption of an executing mechanism is reduced.

The embodiment of the invention provides an AI digital human-oriented conference state control method and system, and the method comprises the steps: obtaining conference environment data; performing multi-modal analysis on the conference environment data to obtain a conference state evaluation result; generating a conference control instruction according to the conference state evaluation result; and executing a conference process control operation according to the conference control instruction. According to the embodiment of the invention, the problem of process stiffness caused by passive response in the prior art is solved, and the flexibility, naturalness and intelligence level of conference control are remarkably improved, so that the conference efficiency is effectively improved, the interaction experience of participants is enhanced, and the dynamic change requirement in a complex conference scene is met.

The invention discloses a ZIGBEE-based Wi-Fi module dormancy method, which comprises the following steps of: intelligently controlling dormancy and awakening of a Wi-Fi module through cooperative work of a ZIGBEE monitoring module, a Wi-Fi state control module, a data caching module, a dormancy mode switching module, an awakening control module, a self-adaptive parameter adjusting module and a fault monitoring module; and the power consumption management and cruising ability of the system is improved.

The invention provides a maintenance rescue interface system, a vehicle energy system, a child-mother vehicle energy sharing system and a vehicle state control method, and relates to the field of new energy vehicles. The maintenance and rescue interface system is arranged on any one of a child vehicle and a mother vehicle and comprises a maintenance and rescue change-over switch, a maintenance and rescue controller and a maintenance and rescue interface, wherein the maintenance and rescue change-over switch and the maintenance and rescue controller are arranged in the vehicle, and the maintenance and rescue interface is arranged outside the vehicle; the maintenance and rescue change-over switch is connected with a maintenance and rescue controller, the maintenance and rescue controller and a power battery system on the vehicle are both in communication connection with a vehicle control unit on the vehicle, and the power battery system and the maintenance and rescue controller are connected with a high-voltage power supply interface and a low-voltage communication interface of the maintenance and rescue interface respectively; and the high-voltage power supply interface and the low-voltage communication interface of the maintenance rescue interface are respectively used for connecting high-voltage power supply interfaces and low-voltage communication interfaces on maintenance rescue interfaces of other vehicles. Therefore, energy sharing of the two vehicles can be rapidly achieved, and the method is suitable for diversified scenes.

To provide a compaction state control method of a filter material layer which changes an index of the end of discharge of compaction water according to the state of a filter material, and thereby forming a filter material layer in a state optimal for filtration treatment.SOLUTION: A filtration device for performing compaction treatment of discharging compaction water stored in a filtration tank before filtration treatment from below, and compacting a filter material layer by a dynamic pressure at the time of discharge includes: previously setting a foundation discharge value as a discrimination index of a compaction state; gradually setting a coefficient corresponding to a duration time of an immediately-preceding filtration treatment step; calculating a coefficient from an immediately-preceding filtration duration time; calculating a reference discharge value by multiplexing the foundation discharge value by the coefficient; discriminating that the compaction state is satisfactory, and finishing the compaction water discharge step, when at least one discharge value of the discharge speed and the discharge flow rate of the compaction water reaches a reference discharge value; and discriminating that the compaction state is not satisfactory, and shifting the step to a compaction water storage step again, and thereby improving filtration treatment efficiency, when the discharge value does not reach the reference discharge value.SELECTED DRAWING: Figure 3

The invention discloses a pet accompanying robot state control system and method capable of dynamically updating characters, and the method comprises the steps: sensing the current state of a user, and recognizing the emotion state of the user through a multi-mode emotion calculation method based on the current state of the user; each feedback state of the pet robot is generated; based on the selected specific feedback state, the appropriate pet robot feedback expression, action and sound effect are intelligently matched; and synchronously controlling the pet robot to realize integral state output of man-machine interaction. According to the method, the specific feedback state is output by combining the multi-mode emotion perception with the personality of the pet robot, so that the personalized interaction experience of the pet robot is improved. Meanwhile, through a dynamic updating mechanism of the character of the pet robot, the pet robot can evolve continuously, and the emotional accompanying experience of thousands of people in long-term use of the user is improved.

To provide a game machine capable of further enhancing interest in a game.SOLUTION: A game machine includes: special game state control means capable of controlling a jackpot game state in the case of satisfaction of one of multiple kinds of special conditions at least including a first special condition with a jackpot as a condition and a second special condition with entry into a special electric operation port 7142 as a condition; game state control means capable of controlling a game state in which at least a first game can be executed; and performance control means capable of controlling a performance executable by a performance execution section. The game state control means can be controlled to a game state at least including a normal game state, a variation time-shortening state in which a degree of advantage differs from that of the normal game state for a player, and a special electric easy-to-win state in which the second special condition is more easily satisfied than that in the variation time-shortening state, and the performance control means can control a suggestive performance for suggesting derivation of a time-shortening win or a jackpot.SELECTED DRAWING: Figure 252