32results about How to "Avoid response delays" patented technology

The embodiment of the invention provides a printing control method, electronic equipment, a storage medium and a program product. The method comprises the steps that a task queue sent by a non-real-time application kernel is received through a communication protocol, and the task queue comprises a plurality of to-be-processed tasks corresponding to the five-axis laser printing equipment; determining a task type and a real-time requirement level corresponding to each to-be-processed task; according to the task type and the real-time requirement level corresponding to each to-be-processed task, adjusting the task priorities of the plurality of to-be-processed tasks to obtain a task priority queue; determining distributed system resources corresponding to the to-be-processed tasks according to the task priority queue and the current resource state; and executing each to-be-processed task according to the task priority queue and the allocated system resources corresponding to each to-be-processed task. The method is used for achieving the effect of improving the reliability of the printing system.

The embodiment of the invention provides a subprogram instance creating method and device, equipment, a medium and a program product. The method comprises the following steps: in response to a calling request of a target subprogram in a session between a client and a database, searching a target shared instance from a shared memory; multiplexing the public data in the searched target shared instance, and creating a private instance structure; and generating a private instance stored in the private memory of the session according to the private instance structure and the private data. According to the method, when the session calls the subprogram, the shared instance is searched from the shared memory, and the private instance for the session is created by multiplexing the public data in the shared instance, so that multiple sessions do not need to repeatedly compile and store the same public data, and the memory overhead is reduced, and therefore, in a high-concurrency scene, the session can be quickly and efficiently called. The risk of insufficient memory is avoided, and the stability of database operation is improved.

The invention discloses a data reporting method of a photovoltaic cleaning robot, the photovoltaic cleaning robot and a system, and belongs to the technical field of robot communication. The data reporting method of the photovoltaic cleaning robot comprises the steps of determining a relay robot in a plurality of adjacent robots under the condition that a communication link with a server is detected to meet a triggering condition, and establishing a near field communication link with the relay robot; determining a relative position relation with the relay robot; based on the relative position relation, the motion state of the robot itself is adjusted, so that the robot itself moves along with the relay robot in the mobile operation environment, and the communication stability of a near field communication link is kept; and sending the to-be-reported data to the relay robot through the near field communication link, so that the relay robot uploads the to-be-reported data to a server. Through stable near field communication between the photovoltaic cleaning robots, the data of the photovoltaic cleaning robots can be timely and completely reported to the server.

The utility model discloses a remote switch system for a cable branch box, and relates to the technical field of power equipment. The problems that an existing system is insufficient in anti-interference capacity, unstable in wireless signal and high in power supply dependence are solved. In the scheme, the control module integrates the dual-core processor and the nonvolatile storage unit, and high-frequency noise conduction is blocked through a four-stage isolation driving circuit; the communication module is fused with a power line carrier and a dual-frequency wireless transceiver circuit to realize signal blind area automatic switching and multi-channel complementary transmission; the multi-source power supply module adopts a main power supply, a standby power supply and a photovoltaic unit to cooperatively supply power, and combines a bidirectional DC / DC module to dynamically deploy energy; the split type execution module doubly guarantees the reliability of the switch based on a magnetic latching relay and a redundant drive circuit; according to the scheme, the anti-interference capability in a complex electromagnetic environment is remarkably improved, control failure caused by signal disconnection is effectively avoided, and the continuous operation capability in a power-off scene is ensured through a multi-source energy supply mechanism.

The application provides an energy-saving method and device, a terminal, network equipment, a chip and a storage medium, and relates to the field of communication. The method comprises the following steps: in response to the number of time units in which the terminal has not been continuously scheduled by a physical downlink shared channel (PDSCH) reaching a threshold, the terminal is controlled to operate in an energy-saving mode. Thus, the number of time units in which the terminal has not been continuously scheduled by a PDSCH is monitored, and when the number of time units reaches the threshold, the terminal is automatically triggered to operate in the energy-saving mode, thereby realizing an implicit energy-saving mechanism without the need for the network equipment to send explicit signaling. The additional control overhead and response delay caused by the transmission and analysis of the explicit signaling are effectively avoided, the energy-saving operation can be started immediately after the terminal actually enters an idle state, the invalid energy consumption caused by the terminal continuously monitoring a downlink control channel during the waiting period for the signaling is avoided, and the power consumption of the terminal is significantly reduced and the endurance time is prolonged.

The invention provides an early warning method and system for running performance abnormity of a graphics processor, and the method comprises the steps: calling a temperature monitoring interface and a video memory calculation interface based on any pre-obtained monitoring period; configuring the temperature monitoring interface and the video memory calculation interface to the graphic processor, and obtaining current temperature monitoring data and current video memory monitoring data; obtaining a temperature monitoring result based on the current temperature monitoring data and a preset temperature threshold; obtaining a video memory monitoring result based on the current video memory monitoring data and a preset video memory residual threshold value; and if the temperature monitoring result and / or the video memory monitoring result do / does not meet the preset operation requirement, generating an abnormity monitoring early warning signal so as to carry out early warning on the operation performance abnormity of the graphics processor. According to the invention, the monitoring serial port is periodically called to early warn the running performance abnormity of the graphics processor, and the running reliability of the graphics processor is improved.

The utility model relates to material processing technical field, and a kind of civil aviation material polishing equipment of easy to hold;Sliding platform is slidably arranged on the upper portion of support platform by slide rail pair, and two multi-point suction disc flexible tooling are fixedly arranged on the upper portion of sliding platform, support shaft is fixedly arranged on the rear side of support frame, lifting mechanism connected with support shaft is equipped on support platform, overturning mechanism connected with lifting mechanism is equipped on support shaft, linkage switching mechanism connected with overturning mechanism is equipped on sliding platform, and one end of electric telescopic rod is equipped with clamp, by setting two independent multi-point suction disc flexible tooling, the different curvature of workpiece front and back two sides is respectively adapted, the profiling adsorption support of "one side one tooling" is realized, and the pure mechanical linkage of lifting mechanism, overturning mechanism and linkage switching mechanism is matched, automatic completion is taken piece, overturning, shift and reposition in one clamping cycle, without manual intervention, improve polishing precision and efficiency, reduce labor intensity and workpiece damage risk.

The invention relates to the technical field of engineering machinery safety monitoring, and discloses a crane risk event handling method, terminal equipment and a storage medium, and the crane risk event handling method comprises the following steps: carrying out alarm identification on original operation data of each crane, and generating a crane risk event; calling an instruction template according to the risk characteristics of the event, and filling a parameter matched with a template content placeholder in the event into a corresponding placeholder to generate a business processing instruction; the instructions are distributed to the corresponding disposal objects; and if instruction confirmation information of the disposal object is received, retrieving a disposal plan in a risk case database based on the risk characteristics and the identifier of the business disposal instruction, so as to create a risk event disposal task and send the task to the disposal object for execution. Automation of risk disposal is achieved, and response accuracy and execution consistency are improved; state traceability, behavior traceability and responsibility definition of each link are ensured; and the intelligence, the robustness and the sustainable evolution capability of the hoisting operation safety risk control system are obviously enhanced.

The invention provides an edge cloud collaborative data processing system and method based on deep learning, and relates to the technical field of edge cloud collaboration, and the method comprises the steps: extracting a task feature vector of edge terminal equipment from a data task flow; constructing a task dependency graph, and determining an allocation label during sub-task processing through the task dependency graph and the resource allocation granularity of the sub-tasks in the data task flow; carrying out confidence adjustment on each distribution label to obtain execution confidence of the subtasks on the edge terminal equipment, and further carrying out load transfer analysis on the edge terminal equipment to obtain load transfer quantity of the edge terminal equipment; when the load transfer amount is smaller than a preset load transfer threshold value, the subtasks in the data task flow are asynchronously executed in the edge terminal device, and otherwise, the data task flow in the edge terminal device is sent to the cloud server through the edge cache server for batch processing. The task load between the edge terminal device and the cloud server can be divided under the condition that heterogeneous computing resources are limited.

The invention discloses a data migration method and device, a storage medium and electronic equipment, and relates to the technical field of data processing.The method comprises the steps that state information of different storage layers of the storage equipment is determined; the state information at least comprises the file average temperature of the storage layer and the storage cost of the storage layer; under the condition that the access frequency or size of a target file is changed, taking the state information of different storage layers as input, and outputting a file storage strategy through a decision model taking response cost and storage cost variation as optimization targets; the file storage strategy is used for indicating whether a target file executes migration operation or not, and indicating a target storage layer corresponding to the migration operation under the condition that the file storage strategy indicates that the migration operation is executed. According to the method, the storage strategy can be dynamically adapted through the decision model according to the storage layer state and the target file attribute change, the response and storage cost is balanced, the storage resource utilization rate is improved, and the total ownership cost is reduced.

The invention relates to the technical field of data communication, and discloses a network flow deep packet inspection multi-task classification method and system, and the method comprises the steps: firstly obtaining a target network flow data flow, recognizing the corresponding protocol and load content of the target network flow data flow, and generating a flow topological graph related to the target network flow data flow and the load content; collecting a topological data sequence in the atlas, analyzing a corresponding data transmission type, analyzing a type guiding mode, and fitting a flow transmission curve; identifying an abnormal traffic peak value and a core transmission hotspot in the curve, calculating a traffic throughput threshold and analyzing a network cache state; then, a deep packet detection framework is constructed based on the cache state, a processing delay value and a classification misjudgment rate of a real-time classification path in the framework are collected, and a traffic coordination index is calculated; and finally, reconstructing a data coordination task according to the index, identifying a task classification protocol, and generating a multi-task-oriented classification result of the flow data flow. According to the invention, the detection and classification efficiency of multi-task traffic in a complex network environment can be improved.

The invention relates to the technical field of cloud computing and data center operation and maintenance, and provides a data center resource scheduling optimization method based on artificial intelligence, and the method comprises the following steps: collecting multi-dimensional data; preprocessing the data; constructing and training a hybrid intelligent scheduling model; and real-time scheduling decision generation, scheduling execution and closed-loop optimization are carried out. According to the artificial intelligence-based hybrid intelligent model-driven data center resource scheduling optimization method provided by the invention, through multi-dimensional data acquisition, feature engineering optimization, hybrid intelligent model construction and closed-loop iterative optimization, multi-target collaborative optimization of a resource utilization rate, an SLA standard-reaching rate and energy consumption is realized; and the intelligent level and the dynamic adaptability of resource scheduling of the data center are improved.

The invention relates to the technical field of industrial automation control and vehicle-mounted equipment integration, and discloses a vehicle-mounted remote control terminal and method, and the vehicle-mounted remote control terminal comprises a multi-protocol communication module; a vehicle-mounted bus adaptation module; the core control module is internally provided with a task scheduling unit and a protocol analysis unit, and the task scheduling unit adopts a priority scheduling algorithm to preferentially process an emergency control instruction; the protocol analysis unit pre-stores analysis rules of various communication protocols and vehicle-mounted bus protocols and is used for identifying and analyzing various types of instructions; and the man-machine interaction module carries keys and a touch screen, is connected with the core control module and is used for providing a user interaction function. The method can guarantee the priority execution of the emergency control instruction, avoids response delay caused by instruction congestion, can directly adapt to a vehicle modification scene, does not need to greatly change an original vehicle bus system, is high in adaptability, and can be widely applied to the remote control of various vehicle-mounted equipment in logistics, engineering, special operation and the like.

The application relates to a composite liquid carrier with a built-in volatile channel and a heating assembly, and belongs to the technical field of electronic cigarettes or aromatherapy equipment. The assembly comprises a liquid carrier integrally formed with the heating assembly, and a sealing coating covering the surface of the carrier and having a thermally induced phase change characteristic. At normal temperature, the sealing coating is in a solidified state, closes the volatile channel in the interior of the carrier, and inhibits the self-volatilization of the liquid; when the heating assembly is powered on to work, the coating is melted or softened by heat, automatically opens the volatile channel, and makes the liquid smoothly volatilize; after the heating is stopped, the coating is solidified again, and the channel is closed again. Through the synergistic effect of the integrally formed structure and the reversible thermally induced phase change coating, the on-demand and dynamic control of liquid volatilization is realized, the problem of serious static volatilization in the non-working state in the prior art is effectively solved, the invalid loss is significantly reduced, the service life of the product is prolonged, and the thermal response efficiency and the energy utilization rate are improved.

The invention discloses a task operation method and device of a vehicle, electronic equipment and a storage medium. The method comprises the steps that a to-be-operated target task in a cabin system of the vehicle is determined; based on the type of the target task, an operation unit matched with the cabin system is allocated to the target task, and a target operation unit is obtained; the power consumption mode of the target operation unit is determined, and the power consumption mode is used for representing the mode that the target operation unit consumes power when the cockpit system adopts the target operation unit to operate the target task; in the cabin system, according to the power consumption mode and the initial sequence information of the target task, the target operation unit is adopted to operate the target task, and the initial sequence information is used for representing the initial sequence of executing the target task. The technical problem that the task operation efficiency of the vehicle is low is solved.

The invention discloses a simple harmonic variable rotating speed generation mechanism which mainly comprises a main motor, an auxiliary motor, a planetary gear train and a Scotch yoke conversion mechanism. The main motor drives the sun gear; the auxiliary motor drives a crank disc with a radial guide rail, and the crank disc and the rack push rod form a Scotch yoke mechanism together through an adjusting rod assembly composed of a sliding block and a threaded rod, so that the rack push rod generates simple harmonic reciprocating rectilinear motion. The motion is converted into simple harmonic rotation of the internal and external tooth gear through the intermediate gear, then differential coupling is carried out on the simple harmonic rotation and the rotation speed of the sun gear in the planetary gear train, and finally the planetary gear output shaft outputs the simple harmonic changing rotation speed. The rotating speed fluctuation amplitude can be flexibly controlled by changing the eccentric distance of the adjusting rod assembly in the guide rail. The mechanism realizes dual-power synthesis in a pure mechanical mode, has the advantages of accurate waveform, convenience in adjustment, compact structure and the like, and is suitable for unsteady-state working condition simulation of rotating machinery.

The invention discloses an SATA (Serial Advanced Technology Attachment) bus anomaly detection method, system and device for local cache of an edge gateway, and relates to the technical field of edge computing and bus detection. According to the SATA bus anomaly detection method for the local cache of the edge gateway, the time sequence offset characteristic in the SATA bus link establishment stage and the statistical distribution characteristic in the data transmission stage are obtained, the health degree is calculated in a fusion mode and filtered, the protection priority is determined in combination with the data importance level and the service load, the cache writing strategy is matched, and the SATA bus anomaly detection method for the local cache of the edge gateway is achieved. According to the method, the characteristics of the SATA bus link establishment stage and the data transmission stage are obtained, a related model is constructed, the bus health degree is calculated in a fusion mode, and the adaptive cache protection strategy is matched, so that the safety of the SATA bus link establishment and data transmission stage is improved, and the safety of the SATA bus link establishment and data transmission stage is improved. Accurate detection of bus abnormity is realized, and security of local cache data of the edge gateway is guaranteed.

The utility model relates to a normal temperature liquid loss in weight scale of automatic batching. Including base, the support of setting in base top, the feeding bucket for feeding, the metering bucket for material metering, the weighing platform component for material weighing and the metering pump for conveying material, weighing platform component installs on the base, metering bucket installs on weighing platform component, feeding bucket installs in the support top end, feeding bucket discharge pipe and metering bucket feed inlet pass through pneumatic ball valve, flange connector and soft connecting piece connection in proper order between, metering pump installs on the support, metering pump top end junction in proper order has three -way pipe, damper and oil pressure gauge. The pump body of loss in weight scale in prior art scheme when working, the pulsation can be conducted to the weighing platform through the support, leads to dynamic measurement accuracy to drop, and the liquid level detection accuracy is low, and the feeding amount control is rough, can not satisfy the technical problem of high -precision proportioning requirement.

The invention relates to the technical field of vehicle control, and discloses a self-adaptive voice vehicle control method and device, a vehicle and a storage medium, and the method comprises the steps: obtaining first load information which is used for reflecting the load of multi-dimensional hardware in the vehicle; the corresponding current performance level is matched according to the first load information, the reasoning ability of the large language model is compressed according to the current performance level, and the reasoning ability is used for representing the input information amount and the output control message amount of the large language model; and processing a voice instruction of the user based on the compressed large language model to obtain a control message for controlling the vehicle. According to the method, the problem of dynamic balance of large model reasoning efficiency and hardware resources in the vehicle field is solved.

The application belongs to the technical field of sampling scheduling, and particularly relates to a limited random sampling scheduling method and system under a communication degradation scenario, comprising: obtaining historical participation record statistical parameters; expanding the capacity of an expert sampling pool according to a historical maximum avoidance rate to determine an expansion multiple, and setting the maximum sampling round to a single round; randomly extracting a supervision sample subset from an independent supervision candidate pool; applying an avoidance constraint label to the candidate nodes in the expanded expert sampling pool according to the historical participation record, and generating a random sequence through a concurrent safe random permutation algorithm; sequentially screening the nodes without the avoidance constraint label from the random sequence, and adding them in sequence until the target number of extracted people is reached to form an expert sample subset; and aggregating the supervision sample subset and the expert sample subset to generate a sampling result list. Thus, the problems of high networking dependence, poor constraint adaptation, no pre-checking, poor isolation of supervision roles, and race conflicts under high concurrency in the prior art are solved.

The application relates to the technical field of engineering machinery safety monitoring, and discloses a crane risk event disposal method, a terminal device and a storage medium, which comprises the following steps: performing alarm identification on original operation data of each crane to generate a crane risk event; calling an instruction template according to a risk feature of the crane risk event and filling parameters matched with template content placeholders in the corresponding placeholders to generate a business disposal instruction; distributing the instruction to a corresponding disposal object; if instruction confirmation information of the disposal object is received, searching for a disposal plan in a risk case database based on the risk feature and the identification of the business disposal instruction to create a risk event disposal task and send the risk event disposal task to the disposal object for execution. The application realizes the automation of risk disposal, improves response accuracy and execution consistency, ensures that the state of each link is traceable, the behavior is traceable, and the responsibility is definable, and significantly enhances the intelligence, robustness and continuous evolution capability of the crane operation safety risk control system.

The present application relates to the technical field of vehicle control, and discloses a self-adaptive voice control method and device, a vehicle and a storage medium, the method comprising: obtaining first load information, the first load information being used to reflect the load level of multi-dimensional hardware in the vehicle; matching a corresponding current performance level according to the first load information, and compressing the inference ability of a large language model according to the current performance level, the inference ability being used to represent the input information amount and the output control message amount of the large language model; processing the voice instruction of a user based on the compressed large language model to obtain a control message used for controlling the vehicle. The present application solves the problem of dynamic balance between the inference efficiency of a large model and hardware resources in the field of vehicles.

The application discloses a simple force-position control method of an electric control lifter and relates to the technical field of agricultural machinery control. The method comprises the following steps: collecting the engine load rate in real time, taking the current engine speed as the reference speed when the engine load rate is greater than or equal to the preset load rate threshold; continuing to collect the current engine speed in real time, and determining the speed difference value according to the current engine speed and the reference speed; and determining the virtual force signal according to the speed difference value when the speed difference value is greater than or equal to the preset drop speed threshold, and adjusting the electric control lifter according to the virtual force signal. The application can prevent the stop phenomenon caused by the hardening of a field in a low-cost manner and achieve a control effect close to that of a force-position lifter.

The invention provides a multi-risk concurrent emergency processing method and device for a four-dimensional smart bracelet, and relates to the field of data processing. According to the method, a life closed-loop model containing a basic disease, a previous attack mode, medication taboo and an authorized rescue role is established for a four-dimensional smart bracelet wearer, a life closed-loop state sequence formed by physiology, behaviors, positions and communication is continuously monitored in the wearing process, and when multiple types of risks are triggered in the same concurrent window, the four-dimensional smart bracelet is triggered in the same concurrent window. The method comprises the steps of uniformly abstracting a life closed-loop damage source and judging a closed-loop main breakpoint, generating an emergency narrative flow around the main breakpoint and inhibiting secondary risk scheduling, and meanwhile, supporting controlled migration of the main breakpoint through closed-loop consistency verification, thereby realizing accurate emergency processing in a multi-risk concurrent scene. By implementing the technical scheme provided by the invention, secondary events can be prevented from occupying key emergency resources under the condition of multi-risk concurrency, and the effectiveness of overall emergency processing is improved.

The invention relates to the technical field of safety protection of medical electronic equipment, in particular to a physical fusing system with function independence verification, which comprises a main control domain and a safety monitoring domain which are electrically isolated through a physical isolation layer. The safety monitoring domain comprises a current detection unit, a hardware comparator, a physical fuse, a Safety Monitor independent chip, an independent energy maintaining circuit, a fault injection verification module and a verification result latch circuit; the current detection unit collects load current and outputs a detection signal, and the hardware comparator compares the detection signal with a reference threshold signal; a threshold storage unit which cannot be rewritten by software is arranged in the Safety Monitor independent chip; the physical fuse is connected in series with the load loop; the independent energy maintaining circuit supplies power when the main control domain is powered down; and the fault injection verification module and the latch circuit are used for verifying the detection link in the power-on stage and controlling the enabling of the physical fuse.

The application discloses an energy storage prefabricated cabin operation and maintenance state monitoring system based on full parameter perception and relates to the technical field of energy storage prefabricated cabins.The application solves the problem that in the existing monitoring process, only the fault state obviously deviating from the normal operation interval can be identified, and normal fluctuation clusters and real abnormal clusters cannot be distinguished.The application quickly screens the deviation clusters deviating from the normal operation interval through the deviation marking end, and then extracts the trend smooth section and performs feature comparison and verification on the deviation clusters through the cycle analysis end to distinguish abnormal clusters from fluctuation clusters, avoid the waste of computing power and the delay of response caused by indiscriminate analysis of full data, and realize two-stage accurate diagnosis of "coarse screening-accurate judgment".The absolute value product of the voltage trend and the current trend is used as the deviation feature to amplify abnormal features caused by parameter linkage changes.Compared with single parameter threshold judgment, the hidden hazards such as internal short circuit, power imbalance and working condition mutation can be captured earlier, and the early fault detection rate is improved.

The utility model discloses a built-in automatic liquid supplementing unit of liquid cooling equipment, which comprises an external container, a built-in liquid supplementing unit and a liquid cooling unit, the built-in liquid supplementing unit comprises a liquid supplementing container shell, a first one-way valve, a first liquid level sensor, a second liquid level sensor, a third liquid level sensor, a first ball valve, a second ball valve, a third ball valve and a breather valve, and the third ball valve and the breather valve are arranged at the top of the liquid supplementing container shell; the first pipeline is provided with a filter and a first liquid supplementing pump, the second ball valve is communicated with a unit pump inlet pipe in the liquid cooling unit through a second pipeline, the second pipeline is provided with a second liquid supplementing pump and a second one-way valve, the third ball valve is communicated with a unit pump outlet pipe in the liquid cooling unit through a third pipeline, and the third pipeline is provided with a safety valve. According to the three-level liquid level, the idling risk of the liquid supplementing pump is prevented, early warning can be conducted in advance, and a full-automatic liquid supplementing mechanism is achieved.

This invention relates to the field of power system automation and emergency dispatching technology, and discloses an emergency repair dispatching method, system, equipment, and medium for batch faults in substations. When a batch fault is triggered in a substation, a dynamic personnel resource pool is constructed based on the current status data of the maintenance team and historical repair data. The dispatching time domain is divided into several dynamic dispatching micro-periods through an event-driven dynamic time slicing mechanism. Based on batch fault-related data and road network and environmental data, a distributed robust chance constraint method is used to determine the robust duration index and risk cost index of each personnel-fault combination. The calculated index data is weighted to obtain edge weights. A weighted bipartite graph is constructed by combining the dynamic personnel resource pool and the dynamic dispatching micro-periods. After processing with an improved KM algorithm, the optimal matching matrix is ​​obtained and transformed into an emergency repair dispatching strategy, realizing accurate and rapid emergency repair of batch faults in substations.

The application discloses a cloud platform-based enterprise operation data fusion analysis and decision support management method, and relates to the technical field of cloud platform-based enterprise operation data analysis. The method comprises the following steps: collecting original operation data streams of multiple enterprise operation data sources through a cloud platform, and mapping the original operation data streams to a unified time axis to generate an operation data frame sequence with time stamps; performing data fusion on the operation data frame sequence to construct an operation data hypergraph, wherein nodes represent operation entities or operation indexes, and hyperedges represent operation correlation relationships between multiple nodes; calculating an operation trend main feature vector according to node weights and hyperedge weights, and generating an operation risk hot area distribution map; screening candidate decision intervention points from the hot area and assigning decision elasticity coefficients by using a decision path pruning algorithm; generating a resource allocation vector based on the decision elasticity coefficients and a dynamic change rate of the operation data frame sequence, and issuing the resource allocation vector to an enterprise management system through the cloud platform for execution.

The invention relates to the technical field of remote regulation and control, in particular to a remote control method and system for a high-low voltage power distribution cabinet. The method comprises the following steps: collecting real-time operation parameters, environment state parameters and equipment health characteristic parameters corresponding to a high-low voltage power distribution cabinet based on a distributed sensing unit, and carrying out synchronous confidence calibration processing and invisible rule analysis among the parameters, so as to generate invisible association rules corresponding to the parameters of the high-low voltage power distribution cabinet; operation control evaluation and remote control dynamic adjustment are carried out based on the corresponding invisible association rules among the parameters of the high-low voltage power distribution cabinet, and a corresponding high-low voltage power distribution cabinet execution instruction set is generated; and issuing the execution instruction set of the high-low voltage power distribution cabinet to a local execution unit corresponding to the high-low voltage power distribution cabinet according to the timeliness label sequence through the encrypted transmission channel, and iterating remote regulation and control analysis to generate a remote regulation and control log of the high-low voltage power distribution cabinet. According to the invention, remote operation and maintenance control of the high-low voltage power distribution cabinet in the full life cycle can be realized.