166results about How to "Reduce idle time" patented technology

The invention discloses a vehicle idling start and stop control system and method. The control system judges whether a vehicle has idling start and stop conditions by monitoring the water temperatureof an engine, the capacity of a storage battery, a safety belt and other information, judges whether the vehicle has conditions of stopping the engine by monitoring the rotating speed of the engine, the speed of the vehicle, the brake air pressure and other conditions, and judges whether the vehicle has conditions of starting the engine by monitoring the gear of a gearbox, the speed of the vehicle, a hand brake and other information. When the relevant conditions are met, start and stop work signals are sent to the engine though a CAN bus. In order to guarantee the reliability of frequent startand stop of the engine, the system strengthens flywheel gear rings of a starter and the engine. In order to ensure that the battery does not lose power, a storage battery capacity sensor is added tothe system on the basis of increasing the capacity of the storage battery, and the idling start and stop are allowed when the state of charge (SOC) of the storage battery satisfies a safe starting threshold. The idling start and stop control system has advantages of low cost and high reliability, and is especially suitable for commercial vehicles.

The invention discloses a road traffic signal control system and method, and the method comprises the steps: collecting real-time data through a sensor, a camera and a geomagnetic device, combining historical data with emergency analysis, and predicting a flow mode and a change trend; green light time distribution is dynamically optimized, a fixed timing, inductive and adaptive control strategy is adopted, and traffic light duration and priority adjustment is achieved; through regional cooperation and linkage control, green wave bands and branch intersection red light optimization are set, and peak period traffic signals are intelligently dispatched. A machine learning model is used to predict a flow peak value, environment and accident detection data are combined, a signal lamp period is dynamically adjusted, vehicle waiting time, traffic efficiency, carbon emission and traffic satisfaction are evaluated, and a traffic control strategy is comprehensively optimized. According to the road traffic signal control system and method, the traffic flow in different time periods is predicted by adopting the flow prediction model based on big data analysis and machine learning, and the signal period is adjusted in advance.

The invention discloses a big data-based shipping center area coordination optimization method and system, and the method comprises the steps: dividing all-day working time into a plurality of decision periods, building a state transition model, maximizing the utilization rate of port resources through an iteration model under constraint conditions, obtaining a resource distribution strategy of each decision period, and obtaining a chain reaction chain. Identifying logistics bottlenecks, adding queuing plans, regarding ships, berths, storage yards and loading and unloading equipment as different agents, dynamically adjusting the queuing plans by using a multi-agent collaborative algorithm, obtaining a final collaborative scheduling method, setting a reward function, and updating a state transition model by using reinforcement learning. And continuous optimization of the scheduling method is realized. According to the method, efficient utilization of port resources is achieved through the multi-agent collaborative algorithm and the reinforcement learning technology, the port operation efficiency is improved, the logistics cost is reduced, the adaptability of a port to uncertainty is enhanced, and meanwhile good interpretability is achieved.

The invention relates to the field of parking lot management, in particular to a parking management method and system based on data analysis. The method comprises the following steps: acquiring real-time state information of a parking lot and a historical parking monitoring log of the parking lot; analyzing the dynamic characteristics of the vehicle in the fixed parking space according to the real-time state information of the parking lot, and predicting the available time so as to generate the predicted available time of the fixed parking space; acquiring traffic flow data of a target parking lot area; performing multi-section traffic flow analysis on the traffic flow data of the target parking lot area, and performing traffic flow time sequence trend evolution to generate real-time road state characteristics of the target area; and performing time sequence parking demand analysis on the historical parking monitoring log of the parking lot, and performing dynamic parking demand prediction of the target parking lot according to the real-time road state characteristics of the target area so as to generate a dynamic parking demand prediction value. According to the invention, parking lot management with high efficiency and high utilization rate is realized.

The invention discloses an automatic single-yarn strength tester and a test method, and relates to the technical field of textile detection equipment, the automatic single-yarn strength tester comprises a single-yarn strength tester used for testing breaking strength, breaking elongation and breaking strength indexes of a single yarn and fiber pure spinning or blended yarn; and the translation mechanism is used for translating a plurality of distributed yarns and carrying out continuous high-efficiency test operation. According to the automatic single-yarn strength tester, a connecting piece is pulled through a tension spring, then a fastening piece and a limiting block are driven to conduct limiting installation on a limiting groove in a rubber pad, the rubber pad can be rapidly replaced after being abraded, the yarn clamping stability is ensured, and the testing accuracy is ensured; the good friction force of the clamping face can be recovered by replacing the rubber pad, it is ensured that the single yarn is tightly fixed in the clamping mechanism, the single yarn cannot move due to unstable clamping in the tensile test process, it is ensured that the test can be conducted smoothly, and the result is accurate.

The invention discloses a multi-laser 3D printing path planning method and system based on collaborative optimization, and relates to the technical field of multi-laser 3D printing path planning and optimizing.The method comprises the steps that a 3D model to be printed is subjected to equal-area division; adjusting a real-time path based on a collision avoidance rule load balance; and finishing self-adaption and summarizing the data. According to the multi-laser 3D printing path planning method based on collaborative optimization, through the step of equal area division, the overall working efficiency of the system is improved, through the step of refining hierarchical division, the system can more accurately process a complex geometric structure, the printing safety and smoothness are improved, and through real-time load balance and path adjustment, the multi-laser 3D printing path planning method based on collaborative optimization can be used for realizing multi-laser 3D printing. And delay caused by too large task load of some laser heads is avoided. Through monitoring and automatic adjustment, the system achieves optimization of a self-adaptive working path, the overall printing efficiency is improved, and better effects are achieved in the aspects of fluency, safety and printing efficiency.

The invention provides an intelligent fully-mechanized coal mining electromechanical equipment cooperative control system, and relates to the field of coal mining. The intelligent fully-mechanized coal mine electromechanical equipment cooperative control system comprises a data acquisition module which is used for acquiring operation state data of all electromechanical equipment in a fully-mechanized coal mine in real time; the data processing and analyzing module is used for processing and analyzing the collected data in real time and identifying the running state and potential problems of the equipment; the cooperative control module is used for intelligently adjusting operation parameters of the electromechanical equipment according to an output result of the data processing and analyzing module, so that cooperative work among the equipment is realized; and the safety monitoring module monitors the running state of the equipment in real time, and immediately starts safety protection measures once an abnormal condition is found. The system can detect abnormal conditions in operation of the equipment in real time and give an alarm in time, so that the possibility of accidents is reduced, and when security threats are detected, the system can automatically execute preset emergency response measures.

The invention discloses an emulsifying device for salicylic acid preparation, which belongs to the technical field of salicylic acid preparation and processing, and has the technical key points that the emulsifying device comprises an emulsifying box, and an annular rotary stirring mechanism can be correspondingly driven to adjust the stirring mode and perform rotary stirring operation through an arranged stirring liquid conveying control mechanism; by combining two stirring modes of rotation and revolution, salicylic acid and an emulsifier can be mixed and stirred more comprehensively from multiple angles, the uniformity of the emulsion is greatly improved by the stirring mode, and in addition, the stirring speed is greatly improved by randomly adjusting the stirring position. According to the emulsifying machine, the same equipment can meet various different emulsifying processing requirements, so that the investment cost of the equipment is reduced, the liquid conveying mechanism can be correspondingly driven to perform liquid adding operation through the arranged stirring liquid conveying control mechanism, the manual operation is remarkably reduced, the production cost is reduced, and the production efficiency is improved; the stirring device has the advantages of convenience in stirring adjustment, diversified stirring modes and convenience in automatic liquid adding.

The invention provides a multi-robot intelligent scheduling system based on deep learning, and aims to improve the operation efficiency and accuracy of an automatic production line through an advanced algorithm and an Internet of Things technology. The system analyzes historical data by using deep learning, predicts the operation efficiency and accuracy of the robot, and provides a scientific basis for intelligent scheduling decision making. The state information of the robot is collected in real time through the Internet of Things technology, and the real-time performance and accuracy of scheduling are ensured. And the intelligent scheduling module dynamically adjusts task allocation and optimizes the production process in combination with the prediction result and the real-time data. The real-time monitoring interface enables an operator to monitor the state of the robot and adjust the strategy according to feedback. And the analogue simulation module verifies the scheduling scheme before deployment, so that the implementation effect is ensured. According to the system, through an intelligent scheduling strategy, the efficiency of multi-robot collaborative operation is remarkably improved, and innovation is brought to automatic production.

The invention relates to the field of production scheduling and resource optimization, in particular to a flexible job shop scheduling method based on deep reinforcement learning, which is characterized by comprising the following steps: 1) constructing a flexible shop scheduling environment; (2) a flexible workshop scheduling environment is abstracted to be Disjunction Graph, and the flexible workshop scheduling environment is abstracted to be Disjunction Graph; 3) extracting state features; 4) coding the state features; 5) executing a decision based on the encoded features to obtain scheduling probability distribution; and 6) generating a scheduling plan according to the probability distribution. According to the invention, through multi-level feature extraction and fusion, accurate perception of a production environment is realized, and the accuracy and robustness of a scheduling decision are effectively improved; by utilizing a deep reinforcement learning framework, the dynamic change of the production environment can be adaptively learned, the scheduling strategy is continuously optimized, and the generalization ability is relatively high; and feature representation is enhanced through an attention mechanism, so that the model can still quickly find a global optimal solution when facing a large-scale and high-complexity FJSP problem.

The invention provides an efficient chemical polishing device capable of recycling polishing liquid and a process of the efficient chemical polishing device, and relates to the technical field of aluminum profile machining, the efficient chemical polishing device comprises a stabilizing frame, a switching mechanism and two symmetrically-distributed positioning shells are installed on the upper portion of the stabilizing frame, and the switching mechanism is jointly composed of a first electric motor and a conveying plate; and two sets of symmetrically-distributed conveying mechanisms are installed above the conveying plate, and each conveying mechanism is jointly composed of a second electric motor, a threaded rod, a conveying shell, a supporting shell and an extrusion strip. Rapid switching of the positions of the two working belts is achieved through the switching mechanism, after one set of working belts are polished, the other set of working belts to be polished can be rapidly moved to the working position, the idle time and the adjusting time of equipment are shortened, the continuous production process is optimized, and the production efficiency is improved. And tedious operation and long-time shutdown of traditional equipment during replacement of a machining object are avoided, efficient and smooth operation in the production process is ensured, and the comprehensive production efficiency of the equipment is further improved.

The invention relates to the field of monorail crane hoisting equipment, in particular to a mining monorail crane locomotive which comprises a locomotive body. The bearing box is connected to the locomotive body in a sliding mode and used for containing a storage battery, a storage cavity is formed in the locomotive body, the bearing box is located in the storage cavity, and an avoiding connector is further formed in the bearing box; the replacing mechanism is arranged between the locomotive body and the bearing box and used for moving the bearing box to the outer side of the locomotive body and meanwhile achieving lifting of the bearing box; and the storing and taking mechanism is arranged on the bearing box and used for fixing and taking out the storage batteries in the bearing box. The storage battery replacing device has the advantages that the storage battery of the monorail crane can be rapidly replaced, the monorail crane can continuously run, the idle time of the monorail crane is shortened, and the working efficiency of workers is improved.

The invention relates to the technical field of cutting machining, in particular to automatic cutting equipment for a regulating valve assembly, which comprises an equipment frame, a bottom plate is mounted on the equipment frame, and a cutting mechanism and a fixing mechanism are arranged on the bottom plate; according to the fixing mechanism, pushing feeding machining of the valve rod is achieved through the pushing part, clamping and fixing are conducted through the fixing part and the clamping part after feeding is conducted every time, and therefore manual operation is reduced, and the cutting machining efficiency of the valve rod is improved; in addition, the multiple hard alloy bars are distributed in the circumferential direction of the cutting knife and fixed, then the multiple fixed hard alloy bars are pulled through the push-pull part to synchronously move towards the cutting knife, the multiple hard alloy bars are cut off at the same time, and therefore the idling time of the cutting knife is shortened, and the overall efficiency of hard alloy bar cutting machining is improved.

The invention discloses a railway station container scheduling optimization method, system, equipment and medium, and belongs to the technical field of railway station container scheduling, and the method comprises the steps: building a railway container yard container space assignment optimization model based on a container space freedom degree yard information representation method and a container stacking optimization process, stacking the to-be-stacked boxes by using a box stacking algorithm from a box yard to a train to obtain the optimal stacking positions of the to-be-stacked boxes; extracting the to-be-fetched box by using a box lifting algorithm from a train to a box yard to obtain an optimal target box position of the to-be-fetched box; using a heuristic algorithm to solve the railway container yard container quantity balanced distribution model to obtain the optimal division of the container area container quantity; and solving the railway container yard container space assignment optimization model by using a heuristic algorithm in combination with optimal division of container area container quantity to obtain an optimal container space assignment mode.

The invention discloses a marinated food processing unfreezing and cleaning device which comprises an unfreezing and cleaning mechanism, a feeding support, a discharging support and a frozen food containing frame, the feeding support is arranged at the front end of the unfreezing and cleaning mechanism, and the discharging support is arranged at the rear end of the unfreezing and cleaning mechanism; the unfreezing and cleaning mechanism comprises an unfreezing and cleaning pool and an undercarriage, the undercarriage is movably arranged on the unfreezing and cleaning pool, the rear end of the unfreezing and cleaning pool is fixedly connected with a filtering water pool, and one end of the filtering water pool is flush with the unfreezing and cleaning pool. The electric hydraulic push rod is used for driving the undercarriage and all the transfer rollers to be matched, stable transfer of the frozen food containing frame among the feeding support, the undercarriage and the discharging support at different positions is achieved, feeding and discharging of frozen food and immersion and extraction of the frozen food in an unfreezing and cleaning pool can be easily completed, the whole operation process is clear, and the working efficiency is improved. And the operation convenience of the whole equipment is improved.

The invention provides a neural network storage and calculation resource optimal distribution method and system based on an FPGA, and relates to the technical field of artificial intelligence, and the method comprises the steps: analyzing a parallel factor and the delay of each layer of a neural network, and the calculation resource consumption of the parallel factor and the FPGA, and building an interlayer calculation resource relation model; based on the inter-layer computing resource relation model, obtaining an optimal parallel factor of each layer of the distributed neural network through a computing resource distribution method; analyzing the delay, parallelism and memory resource consumption of each module in the neural network layer, and establishing an in-layer memory resource relation model; and based on the inter-layer computing resource relation model, the intra-layer memory resource relation model and the allocated optimal parallel factor of each layer of the neural network, realizing balance optimization of the intra-layer memory resources and the delay. According to the method, the degree of parallelism of each layer is reasonably distributed, data flow blocking is reduced on the premise of minimum resource occupation, and the effect of minimum total delay is achieved by taking the consistency of module delays in each layer and the consistency of delays between layers as targets.

The invention relates to the technical field of medical informatization, and discloses a management method based on an intelligent physical examination queuing and calling system, which is characterized in that a physical examination queuing and calling management process is modeled into a Markov decision process by constructing an intelligent calling model, and a queuing strategy and a calling management scheme are dynamically adjusted. The model defines a multi-dimensional state space including physical examination person information, queuing conditions, physical examination equipment and calling equipment, and an action space including actions of adjusting the sequence of physical examination items, guiding physical examination persons, sending calling notifications and the like. By designing a reward function which comprehensively considers the satisfaction degree, the waiting time, the equipment utilization rate and the emergency response capability of physical examinees, a deep reinforcement learning algorithm is adopted to train a model, and a strategy is continuously optimized by taking maximization of accumulated rewards as a target. The physical examination efficiency and the service quality are improved, the waiting time of physical examinees is shortened, the coping ability of the system to emergencies is enhanced, and the physical examination system has remarkable technical advantages and application value.

The invention discloses a beauty health information management system. According to the technical scheme, the beauty health information management system mainly comprises a user information management module, a data acquisition module, a health assessment module, a personalized scheme recommendation module, a reservation and service management module and a data security and privacy protection module. The user information management module comprises the following steps: S1, user file management: storing basic information of a user, and storing and recording dynamic health information of the user, such as a skin type, a body fat rate, blood pressure and an allergy history; s1.1, data input and update: supporting manual input and automatic synchronization of health data by an intelligent device, receiving data uploaded by a user or the device through a form or an API interface, and updating a database; and S1.2, querying and screening: quickly retrieving user information and historical data, supporting screening according to time and categories, and realizing a multi-condition screening function through SQL query.

The utility model discloses a pressing type rapid wiring terminal assembling device which comprises a machine frame, and the machine frame is provided with an assembling track and a workpiece moving mechanism used for conveying workpieces on the assembling track forwards. A box body feeding mechanism used for conveying plastic box bodies to the assembling track, an inserting piece assembling mechanism used for conveying hardware inserting pieces and pushing the hardware inserting pieces into the plastic box bodies, and a gland assembling mechanism used for conveying glands and pressing the glands on the upper surfaces of the plastic box bodies where the hardware inserting pieces are assembled are sequentially arranged on one side in the direction of a discharging opening of the assembling track. An automatic assembling process is adopted and comprises the steps of an intelligent workpiece moving mechanism, automatic workpiece feeding, assembling, press fit and the like, the assembling process can be more intelligent and automatic, the requirement for manual operation is reduced, the operation error rate is reduced, and the production efficiency and the assembling quality are improved; and the production space is saved, and the requirements of the modern manufacturing industry for high-quality, high-efficiency and intelligent production are met.

The invention discloses a double-head carbon fiber printing device and a printing method, and belongs to the technical field of 3D printing, the double-head carbon fiber printing device comprises a rack, a working rotary table is fixedly mounted on the rack, two Y-axis sliding rail mechanisms are symmetrically arranged on the two sides of the working rotary table, an X-axis sliding rail mechanism is slidably connected between the two Y-axis sliding rail mechanisms, and two Z-axis sliding rail mechanisms are oppositely arranged on the two sides of the X-axis sliding rail mechanism; the two Z-axis sliding rail mechanisms are synchronously arranged on the X-axis sliding rail mechanism in a sliding mode, one Z-axis sliding rail mechanism is provided with the ultrasonic printing head, the other Z-axis sliding rail mechanism is connected with the laser printing head through the swing mechanism, the double-head design is adopted, the ultrasonic printing head and the laser printing head are integrated, parallel printing of multiple materials can be achieved, and the printing efficiency is improved. Compared with the prior art, carbon fibers and other base materials can be printed synchronously, flexible switching of multiple materials and multiple processes is achieved, the printing efficiency and precision are remarkably improved, meanwhile, switching of a single printing head does not need to be conducted frequently, path planning is more reasonable, and material waste is avoided.

The invention relates to a fine-grained multi-operator parallel scheduling method and system based on a heterogeneous data stream architecture. The method comprises the steps that an operator topological graph is established according to operators obtained through decomposition and related to the task scheduling process, and an operator data flow graph is constructed; analyzing a data dependency relationship among operators in a task according to the operator topological graph, grouping the operators based on the data dependency relationship and the runtime characteristics of the operators, and maintaining a corresponding scheduling queue for each operator group; scheduling the parallel operator group according to the scheduling queue, and allocating computing resources for the parallel operators based on runtime characteristics; performing data flow diagram dynamic reconstruction on the original operator data flow diagram of the parallel operator group according to the operator data flow diagram; and after the PE data flow array finishes executing the operators in parallel, checking whether each scheduling queue is empty or not, if so, ending operator scheduling, and otherwise, continuing to schedule the parallel operator group according to the scheduling queues. According to the method, the access to the SPM can be reduced, and multi-operator efficient parallel scheduling is realized.

The utility model provides a sewage treatment filtering device, which belongs to the technical field of sewage treatment and comprises a sewage filtering box, a sewage inlet pipe, a sewage discharge pipe, a standby collecting box, a replacement driving motor, a replacement filtering mechanism and a filtering and collecting mechanism, the sewage inlet pipe is fixedly connected to the front end of the sewage filter tank; the blow-off pipe is fixedly connected to the rear end of the sewage filter tank; a standby collecting box is fixedly connected to the right side of the sewage filtering box; a replacement driving motor is fixedly connected to the right side of the standby collecting box; the replacing and filtering mechanism is arranged in the sewage filtering box; the filtering and collecting mechanism is arranged in the standby collecting box, so that the idle time of the whole sewage filtering box is shortened, and the sewage treatment efficiency is ensured.

The invention discloses a server load balancing method and device, relates to the technical field of data processing, and mainly aims to solve the problem that the load distribution of the existing server is unbalanced and inflexible. Comprising the steps of obtaining a reference load balancing strategy of a plurality of servers to be subjected to load balancing, predicting operation data distributed by the reference load balancing strategy, and determining a load balancing prediction result; if the load balancing prediction result is greater than a preset prediction threshold value, determining a short-term load balancing adjustment strategy and / or a long-term load balancing adjustment strategy corresponding to the server, and adjusting the reference load balancing strategy through the short-term load balancing adjustment strategy and / or the long-term load balancing adjustment strategy; and sharing the adjusted reference load balancing strategy to a global network, and indicating shared node servers to perform load balancing processing according to the adjusted reference load balancing strategy, the global network comprising a plurality of shared node servers.

The present application belongs to the field of database technology, and specifically discloses a connection reuse method and device based on database distributed communication, the method comprising: receiving an SQL request from a business component, and starting a transaction based on the SQL request; if the current SQL statement is a start transaction statement, searching and determining the first connection slot that matches successfully from the connection pool cache, and taking the first connection slot from the connection pool cache, and executing the current SQL statement according to the first connection slot; looping and executing subsequent SQL statements in the transaction until the transaction ends when the current SQL statement is a commit statement or a rollback statement, updating the reference count of the connection slot, and returning the connection slot to the connection pool or continuing to retain it in the connection pool cache according to the reference count; when all SQL statements are executed, returning the connection slot to the connection pool. Through the present application, the connection utilization rate can be improved to improve the operating efficiency of the system.

The utility model discloses a food packaging sterilization device, including frame and fixed installation in frame one side outer wall's industrial computer, both sides inner walls of frame all are assembled with chain type drive assembly, two chain type drive assemblies are commonly installed with two connecting shafts, and the drive shaft of speed reducer motor is through the frame and is arranged, and is fixedly connected with adjacent connecting shaft, two chain type drive assemblies all are fixedly connected with a plurality of connecting pieces, and a plurality of connecting pieces are two two groups, and the connecting piece of same group is commonly fixedly connected with top sealing frame and bottom sealing frame, in the utility model, through the collaborative design of chain type drive assembly, top sealing frame, bottom sealing frame and net basket, cooperate up and down sealing casing, successfully constructed a continuous operation's dynamic sterilization system, and the defect of intermittent operation low efficiency in background technology has been effectively overcome.

The invention relates to a chip bonding auxiliary track positioning device, and relates to the technical field of chip processing, the chip bonding auxiliary track positioning device comprises a guide box body, auxiliary grooves are formed in the guide box body, auxiliary supporting bases are slidably arranged in the auxiliary grooves, the height of the auxiliary supporting bases is adjustable, the number of the auxiliary grooves is two, and the movement directions of the adjacent auxiliary supporting bases are opposite. When one auxiliary supporting base moves downwards to carry out chip bonding, the other auxiliary supporting base moves upwards until the auxiliary supporting base is moved out of the auxiliary groove, so that a chip bonding product on the auxiliary supporting base can be moved out of the auxiliary groove, and the chip bonding quality is improved while blanking is conveniently realized. According to the auxiliary supporting base, the other set of chip bonding semi-finished products can be conveniently placed on the auxiliary supporting base, the vacancy time of chip bonding can be effectively shortened in the process, the efficiency of the chip bonding process is ensured, and the chip production efficiency is ensured.

The utility model provides an on-line piston automatic assembly table for automobile brake calipers, which comprises a main body, and the top of the main body is fixedly connected with an assembly component and a stamping assembly component. The motor is used for driving the lead screw to rotate, the threaded block can be matched with the sliding rail and the sliding block to move on the lead screw in a threaded mode, then the machining platen is driven to move transversely, continuous stamping assembly can be conducted on the piston and the calipers in the containing groove, the continuous stamping assembly can achieve the uninterrupted production process, and the production efficiency is improved. The production plan can be quickly adjusted to meet the requirements of customers on products with different specifications and adapt to the production of the products with different specifications by utilizing different specifications of the placement grooves, the downtime caused by model change is reduced, the diversified market requirements are further met, and the market competitiveness is improved. The device is suitable for production of products of different specifications, and is beneficial for enterprises to expand product lines and markets.

The invention provides a control method for improving long idle speed adaptability of an engine, which comprises the following steps: S1, judging whether the engine is in a parking idle speed state or not, if so, entering the next step, and if not, keeping the original state; s2, judging whether idling time is too long or not, if yes, entering the next step, and if not, keeping the original state; s3, the rotating speed of the engine is temporarily increased; s4, judging whether the machine is temporarily stopped, if so, entering the next step, and if not, keeping the original state; s5, temporarily stopping the machine; s6, judging whether to restart or not, if so, entering the next step, and if not, keeping the original state; and step S7, restarting. The idling time of the engine is shortened, the long idling adaptability of the engine is further improved, meanwhile, electricity utilization safety is guaranteed, the air conditioner using requirement of a user is met, and the vehicle using experience is improved.

The invention relates to a process processing method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: in response to a processing request for a to-be-processed process, generating a lock node of the to-be-processed process; obtaining a blocked node judgment result corresponding to the lock node according to the processing sequence number and the node type corresponding to the lock node; according to the blocked node judgment result and the node type, updating the current node state of the lock node to obtain the updated node state of the lock node; and under the condition that the updated node state is a preset node state, processing the to-be-processed process. By adopting the method, the process processing efficiency can be improved.