342results about How to "Flexible configuration" patented technology

The invention relates to a real-time fault detection and automatic repair system for a power grid. The real-time fault detection and automatic repair system comprises a multi-level sensing module, a data processing module, an automatic repair module and a monitoring and logging module. The multi-level sensing module collects data such as voltage, current, frequency and temperature in operation of a power grid by deploying multiple types of sensors, and sends the data to the data processing module. And the data processing module analyzes the collected data through an embedded intelligent algorithm, identifies potential faults and generates fault diagnosis results. And the automatic repair module executes repair operations of isolating a fault area, reconstructing a power grid topological structure and recovering normal power supply according to a fault diagnosis result. The monitoring and log module records the operation state of the power grid and the fault diagnosis and repair process, and provides fault analysis and performance evaluation functions through a user interface. According to the system, real-time detection, accurate positioning and automatic repair of power grid faults and comprehensive monitoring of operation data are realized, and the safety and reliability of power grid operation are remarkably improved.

The invention relates to the technical field of big data and data security, in particular to a cloud-edge collaboration and AI fusion data classification and grading method and system and a storage medium, cloud computing and edge computing are combined, the AI technology is used for data classification and grading, and rapid processing and efficient analysis of data are achieved; for structured data and unstructured data, different recognition and processing methods are adopted, including regular expression, keyword matching, dictionary matching, neural network, natural language processing and other algorithm models; particularly, a neural network and a natural language processing technology are combined with an unsupervised learning method and a semi-supervised learning method to realize an automatic classification and grading method of unstructured data in stages, rapid data processing and response can be carried out on an edge layer through a cloud edge collaboration mechanism, and the efficiency is improved. And deep analysis and model training are carried out by using the powerful computing power of the cloud layer.

The invention provides a motor stator vibration suppression method and system based on an electromagnetic pad and deep learning, and relates to the field of electrical technology, and the method comprises the steps: collecting a vibration signal of a motor stator, and carrying out the preprocessing of the vibration signal; inputting the preprocessed signal into a deep learning model, and training and optimizing the deep learning model; fusing the features through a full connection layer to obtain a comprehensive feature vector; predicting the future vibration state of the motor stator by using the comprehensive feature vector; establishing an electromagnetic force model, and designing an adaptive control law based on the predicted future vibration state and the electromagnetic force model; electromagnetic force required by vibration suppression is calculated by using a self-adaptive control law and is converted into a control signal to adjust the electromagnetic pad; a multi-objective optimization algorithm is used to consider the vibration suppression effect and energy consumption at the same time, an adaptive control law is adjusted, and closed-loop feedback control is formed to continuously optimize the vibration suppression effect.

The invention relates to a modularized segmented linkage flexible mechanical arm and a rope cluster segmented decoupling driving method. The modularized segmented linkage flexible mechanical arm comprises a driving box. The base connecting rod assembly is used for guiding a plurality of driving ropes led out from the driving box, and the base connecting rod assembly is arranged above the driving box; the arm section group comprises modular arm sections and an inter-arm-section connecting rod which are connected in sequence, and the bottom of the first modular arm section 3000 is connected with the top of the base connecting rod assembly. According to the modular segmented linkage flexible mechanical arm, the design of'rigid connecting rods, rotary joints and linkage modules' is adopted, it is ensured that when a rear-end arm section drives a rope to pass through a front-end arm section, the path length of the rear-end arm section does not change along with the joint angle of the front-end arm section, and therefore segmented driving decoupling of a rope cluster is achieved.

The invention relates to the technical field of power grid side large-scale wind and light and energy storage configuration, in particular to a wind and light storage capacity distribution robust optimization configuration method, device and equipment and a medium. Establishing a power grid side wind and light energy storage optimization configuration model considering inertia constraint; uncertain factors in the optimal configuration model are considered, and a probability distribution fuzzy set based on a mixed norm is constructed; establishing a two-stage distribution robust optimization configuration model based on data driving; converting the two-stage distribution robust optimization configuration model into a mixed integer linear programming model by using a linearization technology; and solving the mixed integer linear programming model by using a column and number generation algorithm to obtain an optimal configuration and operation scheme of each device. According to the method, the economical efficiency and load fluctuation can be balanced, and the problems of frequency instability and the like of a large-scale wind and light energy grid-connected power grid are avoided by considering inertia constraint.

The invention relates to a simulation test platform for a 1553B bus of a spacecraft, which is suitable for stand-alone test and system test of a 1553B bus interface of a satellite model, and comprises an application layer, a communication layer and a data interface connected with the application layer and the communication layer, the application layer comprises a main control module, a database module and a user interaction module; the communication layer comprises a non-periodic data communication module and a periodic data communication module. The method can be suitable for ground tests of multiple satellite models at the same time, the research and development cost is saved, great convenience is brought to the satellite ground tests, and therefore the development progress of the satellite models is effectively guaranteed.

The invention discloses a distributed intelligent drip irrigation control system based on the Internet of Things, and belongs to the technical field of agricultural irrigation. The distributed intelligent drip irrigation control system comprises a basic water conservancy facility used for providing a water supply demand of certain water pressure for a drip irrigation system; the water tower is designed as a constant-pressure water source to ensure the water pressure uniformity of the whole irrigation area; the water and fertilizer mixing box is used for mixing fertilizer and water in proportion to form a water and fertilizer solution suitable for being absorbed by crops, the mixing proportion is determined by an algorithm # imgabs0 #, F is the fertilizer concentration, Nreq is the nutrient amount needed by the crops, and Nsoil is the current nutrient amount in soil. According to the invention, through efficient and accurate water and fertilizer resource management, the problems of unreasonable resource allocation, low utilization efficiency and the like in a traditional irrigation method are solved, and through integration of an advanced sensor technology, a wireless communication module and an intelligent control algorithm, accurate regulation and control of farmland water and fertilizer supply can be realized; and an irrigation strategy can be automatically adjusted according to real-time environment data and crop growth conditions.

The invention discloses an industrial Internet of Things edge gateway system and a data processing method thereof, and the system comprises a data conversion module which is used for converting source JSON data in a specific format into target JSON data in a template format through a predefined template; the data acquisition module uses a configurable data acquisition pipeline as a northbound application node, binds the northbound application node with a southbound equipment node, receives data transmitted by equipment, and dynamically adjusts a data acquisition strategy through configuration management; the northbound AI reasoning module is used for being bound with a southbound equipment node and performing edge side model reasoning according to data transmitted by equipment to obtain an anomaly detection result; and the internal API of the edge gateway system is used for writing in the internal data point of the PLC or sending an information notification to a specified cloud end. By adopting the technical scheme of the invention, the data processing capability is improved, and the intelligent level of the system is enhanced.

The invention belongs to the technical field of network security, and particularly relates to a product object attribute change identification method, system and device, and a medium, the method comprises the following steps: pre-defining a user-defined annotation for marking a field needing to be verified; after the information of any product object is edited again, all edited first fields are obtained from the front end through a reflection mechanism, and all corresponding second fields are called from a database at the rear end; wherein the fields with the same attribute in the first field and the second field have the same annotation information; and for any first field, acquiring a field name corresponding to the first field by utilizing a reflection mechanism, indexing corresponding field values from all the second fields according to the field name, and identifying whether the fields of the product object are changed or not by checking the first field and the field values.

The invention discloses a three-dimensional heterogeneous integrated optical computing chip, and belongs to the field of optical computing. The computing chip consists of three parts: a spatial diffraction optical neural network core particle, a plane matrix reconfigurable optical neural network component and a plane switchable optical switch module, the single or multiple spatial diffraction optical neural network core particles, the plane matrix reconfigurable optical neural network assembly and the plane switchable optical switch module are combined together in a three-dimensional heterogeneous integration mode, and efficient multi-task optical calculation processing is achieved. The spatial diffraction optical neural network and the plane matrix reconfigurable optical neural network are combined with each other, a traditional optical calculation framework is broken through, the method has wide application prospects in the optical calculation field, and the blank of related technical fields is filled.

The invention relates to a block chain transaction method supporting privacy protection and identity tracking, and belongs to the technical field of block chain application. The specific process of the method is as follows: a financial management institution FMA generates a public key / private key pair for member registration and anomaly analysis according to a security parameter lambda, and group sending is performed on public keys; deploying a recharging contract and a payment contract on the block chain; each consumer ui registers to the FMA through a mobile device to become a member user of the transaction system, and the consumer holds a group signature key gski returned by the FMA after successful registration; the payment service operator cj registers to the FMA to become a member before providing service, and after successful registration, the payment service operator holds the FMA to return an identifier pid of each product terminal managed by the payment service operator; and the consumer calls a payment contract to carry out order payment based on the signature key gski and the identifier pid of the product terminal, and finally, the method further comprises an anomaly analysis link.

The invention discloses efficient oil removal and purification equipment in a deep sea gas field ethylene glycol enriching system, and belongs to the technical field of petroleum treatment, the efficient oil removal and purification equipment comprises purification equipment composed of multiple stages of oil removal devices, the oil removal devices are connected stage by stage through communicating pipes, and each oil removal device comprises a separation pipe, a coalescence module and an oil removal film module, and the coalescence module and the oil removal film module are arranged in the separation pipe; the coalescence module and the oil removal film module are arranged, a coalescence technology and an oil removal film technology are combined, a set of dual separation system is constructed, the combined technology shows obvious advantages when an oil-water mixture with high emulsification degree is treated, a super-hydrophilic fiber bed layer is arranged in the oil removal film module, the fiber bed layer utilizes a water film barrier effect, and the oil removal effect of the oil-water mixture is improved. According to the oil-water separator, the oil-water mixture can be further captured and polymerized without being completely polymerized by the coalescer, and a multi-layer design is adopted, so that the oil-water mixture is treated for multiple times when passing through the equipment, the whole-process treatment from crude separation to fine separation is realized, and the overall separation efficiency of the equipment is greatly improved.

The invention discloses an operator / unmanned aerial vehicle cluster hybrid intelligent cooperative control system and method. The system comprises an operator credibility calculation module, an operator interaction instruction module, a cluster credibility calculation module, a distributed cooperative control calculation module and a visual display module. The method comprises the following steps: 1, giving a given agent cluster model and an unmanned aerial vehicle cluster model, and carrying out the mapping; 2, designing an unmanned aerial vehicle cluster communication model; 3, designing an unmanned aerial vehicle cluster distributed cooperative controller; and 4, designing a man-machine mutual trust model and judging the trust degree. According to the invention, by considering the influence of external environment interference on the unmanned aerial vehicle cluster and introducing the advantages of intelligent decision of human operators and distributed autonomous control of unmanned aerial vehicles, an efficient, flexible and extensible hybrid intelligent cooperative control framework is constructed, and the task execution efficiency and safety of the unmanned aerial vehicle cluster in a dynamic environment are improved.

The invention relates to a man-machine interaction method and device based on a large model and man-machine interaction device.The man-machine interaction method based on the large model comprises the steps that user input information is obtained, and a trained target large model is used for analyzing the user input information to obtain user intention information; obtaining a preset function configuration knowledge graph; under the condition that the user intention information indicates a function configuration operation for the industrial equipment, performing query processing on the function configuration knowledge graph according to the user input information to obtain target function information corresponding to the function configuration operation; inputting the target function information into the target large model, and outputting configuration structured parameters; generating guidance information based on the configuration structured parameters; and obtaining function configuration information input to the target large model by the user based on the guide information, and performing function configuration on the industrial equipment based on the function configuration information. According to the invention, the problem that the man-machine interaction process is tedious is solved.

The invention discloses an application system performance testing method based on database synchronization delay. Accurate monitoring and performance analysis of database master-slave synchronization delay in a high-concurrency environment are achieved through dynamic delay estimation and multi-scene testing. Comprising the following steps: deploying a database master-slave synchronization environment on a business system and configuring application software to be tested; installing a performance test tool, dynamically adjusting test parameters, and constructing a synchronous data model of the master and slave databases of the database; monitoring database synchronization delay amount and performance parameters before and after application software deployment in real time through a monitoring system; and compiling a test script, simulating test scenes under normal and abnormal conditions, carrying out dynamic estimation on delay data based on a KPLSF fusion model, analyzing the variation trend of delay amount and performance parameters, and generating a test report. According to the method, high-precision delay monitoring and performance evaluation are provided, and reliable data support and technical guarantee are provided for system tuning, backup strategy optimization and performance improvement of application software.

The embodiment of the invention provides a cloud private line connectivity test method and device, electronic equipment and a storage medium. A virtual switch is installed on a simulation node; constructing a first virtual network interface and a second virtual network interface for installing the virtual switch; creating a network namespace for simulating the network environment of the client side equipment at the simulation node; adding the second virtual network interface to the network namespace, and simulating the second virtual network interface to configure network information for the network namespace; adding the first virtual network interface to an integrated bridge, and creating a flow table on the integrated bridge; executing flow receiving and transmitting through the flow table, the network information and the network namespace, and generating flow receiving and transmitting state information; according to the method, the connectivity of the cloud private line between the cloud host and the network namespace is detected based on the traffic transceiving state information, the connectivity of the cloud private line is tested on the basis of not excessively depending on a test environment, the test cost is reduced, and the test efficiency is improved.

The invention discloses a file content exception monitoring method and system, computer equipment and a storage medium, relates to the technical field of computers, and can solve the technical problems of slow discovery timeliness, low recognition accuracy and inflexible exception monitoring of file content changes at present. Comprising the steps of obtaining a credit report in a target format, identifying table field information in the credit report, and determining a to-be-monitored table field and a field value corresponding to the to-be-monitored table field from the table field information according to a preset table field positioning path; calling rule configuration information configured based on a rule engine, judging whether the rule configuration information is within rule effective time of the rule configuration information or not, and if yes, querying a preset monitoring rule corresponding to the to-be-monitored table field from the rule configuration information; and judging whether the credit report is abnormal or not according to the preset monitoring rule and the field value.

The invention discloses a short-circuit current self-driven fast switch and a design and control method thereof, the short-circuit current self-driven fast switch comprises a vacuum arc-extinguishing chamber, an electromagnetic holding mechanism, an electromagnetic repulsion mechanism and a controller which are connected in parallel on a tested system, and the vacuum arc-extinguishing chamber is connected in parallel with a current limiting reactor connected on the tested system; the electromagnetic holding mechanism comprises a second current transformer of which the primary side is coupled with the tested system, a rectifying circuit connected in series with the secondary side of the second current transformer and a driving coil connected in series with the rectifying circuit, the driving coil is aligned with an armature of the vacuum arc-extinguishing chamber, and an air gap is formed between the armature and the driving coil; and the driving coil is arranged in the shell made of a ferromagnetic material. The invention aims to provide the short-circuit current self-driven quick switch, so that the current-limiting reactor can act immediately and can act for multiple times in a short time when the short-circuit current self-driven quick switch has a system short-circuit fault under any condition.

The invention discloses an infectious disease prediction and transmission link speculation method and system based on a random forest, and belongs to the technical field of infectious disease transmission risk prediction, and the specific steps are as follows: data acquisition and preprocessing: collecting case information from official websites and social media platforms of a plurality of provincial and urban health departments throughout the country, cleaning and preprocessing the data set; predicting the illness time of the patient: constructing and training a model by using a random forest algorithm, and accurately predicting the infection time of the patient; evaluating an algorithm prediction result, including evaluating model performance through classification prediction accuracy and correction accuracy; the disease transmission relation speculation comprises the steps of constructing a dynamic transmission model based on the predicted infection time and generating an infection time sequence diagram, the transmission path of diseases in urban population is revealed, and a scientific basis is provided for infectious disease control and public health decision making.

The invention provides a resource allocation method and device, electronic equipment and a storage medium, the method is applied to a many-core system, the many-core system comprises a plurality of processing cores, each processing core comprises multiple types of hardware resources, and the method comprises the following steps: constructing a resource map according to the hardware resources of the many-core system; according to the execution process of a target task, the target task is divided into a plurality of task stages based on the resource demand change, and the resource demand of each task stage for different types of hardware resources is different; according to the resource demand quantity of each task stage, the resource map corresponding to the hardware resources is divided, the resource group allocated to each task stage is determined, and the resource group comprises multiple types of hardware resources, so that different types of resource allocation can be performed according to the resource demand quantity of different task stages, and the resource allocation efficiency is improved. Resource allocation is more flexible, and the resource utilization rate is improved.

The invention relates to the technical field of thermoelectric Internet of Things security, in particular to a thermoelectric Internet of Things terminal data credible situation awareness and protection platform, which comprises an integrated architecture for constructing a distributed probe acquisition layer, a behavior modeling and knowledge base, a dynamic trust evaluation engine, a situation awareness and decision center and a credible traceability module. Multi-dimensional trust evaluation is realized by fusing terminal behavior consistency analysis, service logic compliance verification and group behavior correlation detection, a self-adaptive weight adjustment mechanism is introduced to adapt to scene change, a hierarchical protection strategy is executed based on a dynamic credibility score, and non-interruption of network disconnection protection is guaranteed by relying on edge calculation. According to the method, the data credible sensing precision is improved, dynamic differential protection is realized, the operation and maintenance cost is reduced, multiple thermoelectric scenes are adapted, and a safety guarantee is provided for stable operation of a thermoelectric Internet of Things system.

The invention discloses an illegal unmanned aerial vehicle source tracing method and system based on visible light, thermal imaging and radio frequency fingerprint fusion. The method comprises the following steps: synchronously acquiring target visible light, a thermal infrared image and a radio frequency signal; extracting appearance, thermal radiation and radio frequency fingerprint features in parallel; multi-modal features are dynamically weighted and fused through an adaptive cross-modal attention fusion network (ACMAF-Net), and unmanned aerial vehicle model identification and individual association are completed; reconstructing a three-dimensional track of the unmanned aerial vehicle by using multi-sensor observation data; the possible positions of a take-off point and an operator are deduced by combining track features and geographic information. The system comprises a multi-mode sensing subsystem, a data processing and fusion subsystem, a traceability analysis subsystem, a display control storage subsystem and the like. According to the invention, through three-mode complementary fusion, the limitation of a single technology is overcome, all-weather and high-precision detection identification and effective traceability of the illegal unmanned aerial vehicle are realized, and the low-altitude security and protection capability is remarkably improved.

The invention relates to the technical field of serial / deserializer data transmission, in particular to a reconfigurable bidirectional transceiving circuit which comprises a main transmitter and a copy transmitter, the main transmitter comprises a first power supply, a second power supply, a first phase inverter, a second phase inverter, a first variable resistor, a second variable resistor, a first current mirror and a second current mirror, the first variable resistor is connected with the first phase inverter in parallel, the output end of the first power supply is connected with the input end of the first phase inverter, the output end of the first phase inverter is connected with the output end of the first current mirror, and the second variable resistor is connected with the second phase inverter in parallel. The output end of the second power supply is connected with the input end of the second phase inverter, and the output end of the second phase inverter is connected with the output end of the second current mirror. On the basis of realizing low power consumption, the output amplitude can be flexibly adjusted to meet the requirements of different application scenes, and the application performance of the bidirectional transceiver circuit is enhanced.

The invention discloses a simulation debugging method and device for a wireless Lora sensor in a power transformation and distribution station room, and the method comprises the steps: creating a sensor equipment model for the wireless Lora sensor of each sensor type in a gateway machine, and defining the parameter information of the sensor model and the parameter information of a model data point; the parameter information of the sensor model comprises a unique code of the model; configuring sensor data points in a configuration file of the wireless Lora message simulator, constructing a mapping relation between a sensor type serial number and a model unique code, and further establishing a one-to-one correspondence relation between model data points and the sensor data points; in a wireless Lora message simulator, firstly, sensor equipment and sensor data points are added in a mode of loading a sensor equipment model, then, data point values meeting parameter information requirements of the sensor data points are generated through simulation, and finally, the data point values generated through simulation are sent according to a set message sending mode. According to the method, the wireless LoRa sensor can be simulated to generate the data point value of the sensor, and the problem of low data message development and test efficiency caused by dormancy of the wireless LoRa sensor or incomplete type of the wireless LoRa sensor is solved.

A tea leaf flow dividing production line comprises a feeding conveyor, an electromagnetic vibration feeder, a double-material-opening conveyor, a double-channel vibration feeder, an inclined-material-opening conveyor and a discharging conveyor. The feeding conveyor is obliquely arranged through a first frame body, a discharging bin A is arranged at the high end of the feeding conveyor, an electromagnetic vibration feeder is arranged below the discharging bin A, and the discharging end of the electromagnetic vibration feeder is connected to the double-material-opening conveyor. The double-material-opening conveyor is obliquely arranged through a third frame body, two discharging channels are arranged at the high-position end of the double-material-opening conveyor, and a double-channel vibration feeder is arranged below the two discharging channels. An inclined material opening conveyor is arranged below each of two discharging openings of the double-channel vibration feeder, the inclined material opening conveyors are obliquely arranged through a fifth frame body, discharging bins B are arranged at the high-position ends of the inclined material opening conveyors, and a discharging conveyor obliquely arranged through a sixth frame body is arranged below each discharging bin B. The tea leaf distribution device realizes fine distribution of tea leaves, ensures conveying consistency, and improves production efficiency.

The invention discloses an air conditioner air outlet partition flow guide control system in the field of smart home, which comprises an air conditioner indoor unit, the bottom of the air outlet end of the air conditioner indoor unit separately communicates with a plurality of independent air outlets and corresponding temperature adjusting cavities, and the inner side wall of each air outlet is rotatably connected with a plurality of up-down swing plates and left-right swing plates. An image sensor, a pickup microphone and a control unit are integrated in the air conditioner indoor unit, the motor, the temperature sensor and the air speed sensor are all connected with the control unit, and the control unit is used for automatically adjusting the air supply temperature and the air speed of an air outlet close to a user according to identity information, position information, environment preference and the like of the user. The swinging angles of the up-down swinging plate and the left-right swinging plate are controlled. The intelligent air conditioner is scientific and reasonable, the multiple air outlets, the temperature adjusting cavity, the image sensor, the pickup microphone and the control unit are integrated, identification and tracking of identity information, user positions and environment preferences are achieved, and accurate regulation and control of air supply parameters are conducted.

The invention discloses a system, method and device for adapting to a cloud platform MQTT communication specification, and belongs to the technical field of communication. The system comprises an MQTT protocol basic service module which is used for receiving target parameters which are configured by a user and are related to an MQTT protocol, and establishing connection with a cloud platform according to the target parameters; the process interaction module is used for receiving process entries set by a user and trigger conditions of the process entries; under the condition that the triggering condition is met, executing the process entry; the process entries represent data interaction actions with the cloud platform; and the data interaction module is used for determining a data format and a message format used by the cloud platform, and forming interaction data based on the data format and the message format to perform data interaction with the cloud platform in the process of executing the flow entries. According to the method, the system has the capability of adapting to different cloud platforms, only configuration parameters need to be modified for the cloud platforms of MQTT protocols of different specifications, docking software does not need to be independently developed for each cloud platform, and the development cost of the software is greatly reduced.

The invention provides a data compliance monitoring and automatic reporting system, which comprises a data collection module which is used for embedding a data collection mechanism in a front-end application, capturing interaction data and front-end performance data of a user and the application in real time, and monitoring a data flow in real time; the data verification module is used for verifying the collected data to ensure the accuracy and integrity of the data, checking whether the data conforms to a preset compliance rule or not, and analyzing and identifying the data according to the preset compliance rule and algorithm to determine whether a potential compliance risk exists or not; according to the system, the data flow can be monitored in real time, the potential compliance risk can be found in time, the compliance risk in the data can be automatically identified through the preset compliance rule and algorithm, and once the risk is identified, a detailed report is automatically generated, so that the accuracy and efficiency of the report are improved, and the user experience is improved. The system can adapt to laws and regulations of different countries and regions, and can be flexibly configured according to needs.

The invention discloses a CAN bus light control method for a forklift, and relates to the technical field of forklift lighting control. According to the method, a historical evaluation database is constructed, historical overcurrent faults and overheating faults are used as reference data, an overcurrent evaluation set and an overheating evaluation set of a set time window before the faults occur are analyzed and are used as the reference data, the current value and the temperature value of a mosfet output module are collected in real time, the overcurrent evaluation set and the overheating evaluation set are calculated, and the current value and the temperature value of the mosfet output module are evaluated. A current trend index is compared with historical data, a similarity index ratio is calculated, a similar reference set is screened out, then the similarity degree is further determined by calculating the Euclidean distance, when the Euclidean distance is smaller than a set reference distance value, a corresponding overcurrent or overheating early warning signal is triggered, the most similar reference historical fault can be found, and the fault detection accuracy is improved. A clear direction and detailed reference information are provided for technicians to trace the root of the fault, maintenance and troubleshooting of the forklift are facilitated, and the maintenance cost and the downtime are reduced.

The invention relates to the technical field of Ethernet, and relates to a pluggable EtherCAT device and a bus expansion system. The pluggable EtherCAT device comprises an EtherCAT coupler and an IO module group, the IO module group comprises at least one IO module, the EtherCAT coupler is used for being electrically connected with a master station module through a first bus, a signal output interface of the EtherCAT coupler is connected with a signal input interface of a first IO module of the IO module group in a pluggable mode, when the IO module group comprises at least two IO modules, all the IO modules are arranged in a cascade mode, and the IO modules are connected with the signal input interface of the first IO module of the IO module group in a pluggable mode. The signal output interface of the previous IO module is in pluggable connection with the signal input interface of the next IO module, and the EtherCAT coupler is used for sequentially transmitting data frames through the cascaded IO modules. The IO module can be flexibly configured according to the requirements of an industrial site, and the expansibility is high.