91results about How to "Solve congestion" patented technology

The invention provides a highland cooperative control method fusing a graph convolutional neural network and reinforcement learning, through controlling urban road traffic signal lamps, an expressway ramp signal machine and a variable speed limit unit, expressway traffic congestion is relieved, the urban traffic passing efficiency is improved, road driving vehicles are controlled by means of the signal lamps and the speed limit unit, and the traffic efficiency is improved. Traffic flow scheduling optimization in a global road network is achieved; the whole structure adopts a distributed cooperative control framework, is controlled by a decision-making agent, and performs autonomous decision-making and adjustment according to real-time traffic conditions, so that the adaptability and robustness of the system are enhanced, and the defects of large data calculation amount, difficulty in processing, control strategy lag and the like caused by traditional centralized control are effectively avoided; the graph convolutional neural network model is constructed to aggregate the feature information of the peripheral decision intelligent agent, and the control weight is dynamically allocated, so that the information sharing capability is enhanced, the suboptimal decision caused by lack of comprehensive perception of the surrounding environment is prevented, and the cooperation efficiency of the whole system is improved.

The invention provides a large road network multi-vehicle path load balancing method based on a reinforcement learning graph neural network, and the method comprises the steps: obtaining road network data in a real scene, carrying out the modeling of a road network, and representing the modeling as a graph structure; splitting the graph structure into a plurality of sub-graph structures, wherein each sub-graph structure corresponds to a sub-road network; constructing and training a reinforcement learning adaptive graph neural network; for each sub-road network of the road network, calling the trained reinforcement learning adaptive graph neural network to generate a corresponding road selection probability in parallel, combining the generated road selection probabilities of the sub-road networks according to the topological structure of the original road network, and recovering the road selection probabilities of all the roads in the original road network into complete road selection probabilities in the original road network; and realizing road load balancing based on the selection probability of each road in the complete original road network. In a large-scale road network scene, efficient path re-planning is realized, the road network load is reduced in real time, the problem of road congestion is solved, and the traffic efficiency is improved.

The invention discloses a data congestion processing method and device, equipment, a storage medium and a program product, and relates to the technical field of computers. The method comprises the following steps: receiving a feedback message sent by data receiving equipment in a process of sending a data packet to the data receiving equipment according to a first data sending strategy; in response to the received congestion notification message, determining a round-trip delay between the data sending device and the data receiving device based on the feedback message; and under the condition that the round-trip delay meets the preset delay condition, sending the data packet to the data receiving equipment by adopting a second data sending strategy. According to the process, while the network congestion state information acquisition dimension is enriched, the change response speed of the data transmission process is improved through the more efficiently acquired congestion notification message and round-trip delay, the data packet transmission efficiency is improved, and the transmission accuracy of the data packet is guaranteed. The method and the device can be applied to various scenes such as multimedia data transmission scenes and internet of things scenes.

The invention relates to the technical field of data processing, in particular to a covariance inverse matrix recursive updating method for on-satellite hyperspectral anomaly detection, which comprises the following steps: acquiring a hyperspectral data stream; carrying out adaptive dimension reduction processing on the data stream and loading an initial background model; extracting local background statistics by adopting a sliding window mechanism, generating a background spectrum dictionary by utilizing online dictionary learning, calculating a reconstruction error between a current pixel and the dictionary and a Mahalanobis distance between the current pixel and a background model, and fusing to generate an abnormal score; performing abnormal confidence coefficient evaluation by combining the spatial context information and the spectral angle matching degree, and updating a spectral mean vector by using an exponential weighted moving average algorithm based on non-abnormal pixel data; and the updated model is injected into the next round of processing to form a recursive chain. According to the method, the high calculation complexity of direct inversion of a covariance matrix is avoided, real-time anomaly detection on a satellite is realized, the downloading amount of original data is remarkably reduced, and the congestion of a satellite-ground communication link is relieved.

The invention discloses an urban traffic jam real-time prediction, regulation and control method based on a data flow diagram, and relates to the technical field of traffic, and the method comprises the steps: collecting traffic original data in real time, and obtaining a preprocessed traffic data set; the traffic data set is converted into a data flow diagram, and a diagram structure reflecting the dynamic relation between nodes and edges in the traffic network is constructed; identifying a traffic flow mode and a traffic jam trend based on the data flow diagram; constructing a traffic flow and congestion prediction model, and training the traffic flow and congestion prediction model; and performing dynamic prediction based on the data flow diagram, optimizing timing and control strategies of the traffic lights according to a real-time dynamic prediction result, and adjusting a scheduling strategy based on the real-time dynamic prediction result. According to the invention, intelligent management of urban traffic is realized, many defects in the prior art are overcome, and an effective solution is provided for solving the problem of urban traffic congestion.

The invention discloses a multi-terminal communication system based on Internet of Things, which relates to the technical field of communication, and comprises a terminal access module, a data management module, a network management module, a communication protocol stack and a user management module, the data management module, the network management module and the user management module are connected with the communication protocol stack through software interfaces; the network management module is preferentially connected with a wireless network in a close range through a locally deployed base station, the network management module issues a data instruction to the first terminal, the second terminal and the third terminal through the wireless network, and the user management module authorizes the terminal access module to passively access terminal equipment information through an identity authentication mechanism. A special data source is limited through the data management module, data layering isolation circulation is achieved, the problem that data are prone to pollution and interference is solved, and product quality can be more accurately controlled.

The invention provides an outer container truck queuing management and control method suitable for a container terminal provided with an interaction area. The method comprises the steps that rule parameters needing to be verified when an outer container truck passes through a third-level gate are set; performing gate entering abnormity verification on the outer container truck passing through the third-level gate; performing interaction area current limiting verification; after current limiting is finished, outer container truck box searching and position distribution verification is conducted by combining the entrusting information and the current interaction area instruction number condition, and if the storage yard instruction number or the operation unit instruction number exceeds the limited number, the outer container truck is limited to enter the interaction area; after box finding and position distribution are successful, whether a box door adjusting instruction is generated or not is judged according to a set box door adjusting rule, and box door adjusting operation is completed before entering an interaction area in advance through box door adjusting verification; and after box door adjustment is completed, the outer container truck instruction is changed into a state of waiting to enter the interaction area, and an outer container truck driver is notified to enter a third-stage gate of the third-stage gates. The invention further provides a computer medium applied to the method. The occurrence rate of the jamming condition of container trucks inside and outside the container terminal interaction area is reduced.

The invention discloses a transmission control method, which is used for realizing more accurate sliding window adjustment so as to better solve the problem of network congestion and improve the data transmission effect of a network. The transmission control method comprises the following steps: acquiring network state information and network topology structure information of a transmission link between a sender and a receiver; and adjusting a sliding window of the transmission link based on the network state information and the network topology structure information, so that the sender sends a data packet to the receiver according to the adjusted sliding window.

A space transcriptome in-situ sequencing method for tissue slices relates to the field of gene sequencing, and comprises the following steps: 1) capturing mRNA in situ; 2) carrying out reverse transcription to obtain cDNA; (3) removing tissues and retaining cDNA (complementary deoxyribonucleic acid); 4) carrying out cDNA probe hybridization; 5) performing in-situ amplification; 6) decoding and sequencing the fluorescent probe; and 7) cleaning the probe, and sequencing for multiple rounds. According to the invention, RNA is captured in situ and is reversely transcribed into cDNA, nucleic acid imprinting transfer is realized, background interference is removed, the problem of RNA degradation is solved, and multiple rounds of hybridization are allowed to increase the detection flux. The nucleic acid sequence is covalently bound with a slide to prevent a signal point from shifting and falling off. A DNA coding padlock probe is used for identifying genes, amplifying and amplifying signals, and gene expression is revealed through sequencing and decoding. After the probe is cleaned, the probe is replaced for hybridization amplification, so that the flux is improved, and space crowding and fluorescence signal crowding are reduced.

The invention provides a traffic load balancing method and device, electronic equipment, a storage medium and a product. The method comprises the following steps: receiving a message; the message carries a flow identifier of the AI large model training data flow to which the message belongs; if the flow identifier or the outlet port corresponding to the flow identifier is not queried in the forwarding record table, selecting a target outlet port with the maximum available bandwidth from the outlet ports meeting the transmission condition of the data flow to forward the message so as to realize the flow load balancing of the outlet ports; the aging time of the forwarding record table item is set to cover one iteration period of AI large model training. According to the method, the data flow does not need to be segmented at a time interval, a proper port can be selected to forward the data flow based on the real available bandwidth of the output port, the bandwidth and queue size of the port are not measured in real time, the accuracy of load measurement is improved, the load balancing effect is improved, network congestion caused by flow load imbalance of AI large model training is avoided, and the network performance is improved. And the resource matching efficiency of the whole service flow is improved.

An iterative learning fault-tolerant consistency control method for a multi-flexible-mechanical-arm system comprises the following steps that S1, a directed communication topological structure is constructed, flexible mechanical arms serve as followers, and a virtual leader is established; a mathematical model of the multi-flexible mechanical arm system is established based on the Hamiltonian principle; s2, constructing a finite time observer for estimating the angular displacement and the angular velocity of the virtual leader for each follower of the multi-flexible mechanical arm system; s3, designing an iterative learning rule, a parameter adaptive rule and a control signal of the multi-flexible mechanical arm system based on the virtual leader state estimated by the finite time observer in combination with an actuator fault model and an event triggering rule based on sampling data; according to the control method, fault-tolerant consistency control design based on a sampling data event triggering mechanism is carried out in combination with an estimated value of a finite time observer, so that communication resources are saved, and meanwhile, consistency control of the system is realized.

The invention provides an automobile airplane with a vertical take-off and landing function and an efficiency improving method. The automobile airplane comprises a wing-shaped automobile body, two main thrust propellers and two wing end trapped vortex generators. The two main thrust propellers and the two wing end trapped vortex generators are symmetrically arranged on the two sides of the wing-shaped vehicle body. The rotating direction of a propeller vortex generated by rotation of the main thrust propeller is the same as that of the vortex of the wing end trapped vortex generator and is opposite to that of a wingtip vortex, so that an active reverse wingtip vortex generator is formed; during takeoff, even if no conventional long-wingspan wing exists, vertical takeoff or ultra-short-distance takeoff can be achieved on a single lane of a highway with the limited spanwise direction or an aircraft carrier deck only through the ultra-short chord ratio showing wing; the front part of the vehicle body is provided with a leading edge slat lease-reducing and lift-increasing device, so that the lift-drag ratio can be further improved, and during level flight, in order to improve the flight efficiency, wings with large span chord can be stretched according to actual conditions to form a fixed-wing flight mechanism type, so that the vehicle and the airplane can fly fast and far and carry more people, and the problem of traffic jam is effectively solved.

The invention provides a path determination method and device and a storage medium, and relates to the field of network management. First traffic of a main path and first traffic of each backup path in the future time are predicted, then the first traffic of the main path in the future time is superposed on the basis of second traffic of each backup path in the future time, and third traffic of each backup path in the future time is obtained. And determining a target backup path according to the congestion condition of the third flow of each backup path in the future time. Therefore, the congestion problem caused by the backup path is avoided. Not only can the traffic of the main path be timely switched, but also the performance of the backup path after the traffic is switched can be effectively guaranteed.

The present invention discloses a clustered wireless communication method and system, comprising: step 1, a base station clusters all edge devices participating in the communication into multiple clusters according to the geographical location, and the edge devices in each cluster communicate using a D2D link; step 2, after each edge device updates the decentralized model parameters according to the local data, the edge device exchanges and updates the model parameters with the edge devices connected to it through the D2D link, and uses the parameter averaging algorithm to aggregate the parameters in the cluster to obtain the aggregated parameters; step 3, the base station selects an edge device from all edge devices in each cluster as a cluster head, and the cluster head uploads its aggregated parameters to the base station; step 4, the base station globally aggregates the aggregated parameters uploaded by all cluster heads, and broadcasts the obtained global model to all edge devices. The problem of central node communication traffic congestion in the federated learning scenario with large-scale terminal participation is solved, and the model convergence rate is improved.

The invention discloses a method for determining the scale of a vehicle queue in a vehicle-road cooperation environment based on traffic simulation, and the method comprises the steps: obtaining the actual traffic state information of a road, determining the function form of a vehicle head distance control coefficient and the to-be-calibrated parameters of the vehicle head distance control coefficient, and determining a vehicle head distance control function at the same time. And on the basis of actual traffic state information of a road, calibrating a headstock control coefficient function parameter, and determining a queue scale according to a headstock control function. Traffic simulation software is used for obtaining simulated traffic flow operation state information, on this basis, the error between the simulated headstock and the theoretical headstock is calculated, if the error is larger than a preset threshold value, the simulated traffic flow operation state information and the actual traffic state information are combined, headstock control coefficient function parameters are calibrated again, and the real headstock control coefficient function parameters are calculated; and finally, calculating to obtain a final queue scale.

The invention discloses a factory internal navigation method and system based on a GIS (Geographic Information System) technology, and relates to the technical field of industrial internet. The method comprises the following steps: acquiring a CAD drawing of a factory and field acquisition data, and generating factory GIS data according to the CAD drawing and the field acquisition data; obtaining management attribute requirements and factory GIS data, and performing road network data attribute labeling according to the management attribute requirements and the factory GIS data to obtain attribute labeling data; performing road network explicit and implicit control according to the attribute labeling data to obtain explicit and implicit control data; obtaining and performing permission setting on different personnel according to management permission requirements to obtain user permissions of the corresponding personnel; and acquiring and generating a navigation route according to the position information of the user, the destination information, the user permission and the display and implicit control data, thereby realizing the internal navigation of the factory. According to the invention, different navigation paths can be provided for users with different identities and different permissions.

The application discloses a blockchain-based ticket settlement verification method and system, relates to the technical field of financial transaction safety, and comprises the following steps: S1, receiving a cross-border order submitted by a buyer, verifying the order integrity and the authenticity of the buyer's identity by using a digital signature algorithm, analyzing and extracting the buyer's information, the HS code of the commodity, the payment amount and the currency, and completing the consistency comparison of the ticket basis information in combination with the corresponding tax payment price interval of the HS code; S2, calling an off-chain risk control engine to carry out multi-dimensional compliance verification in parallel, generating a comprehensive risk score and dividing a risk level; after the verification, a preset aggregation template is matched based on the risk level, a unique feature identifier of the order is generated by using a hash algorithm; the risk level is adaptively matched with batch aggregation parameters and on-chain priority, and differentiated dynamic scheduling of off-chain batch evidence is realized. The application realizes full-dimensional pre-checking to avoid false transaction risks, and builds a risk level adaptive adjustment mechanism to balance business processing efficiency and risk control safety.

This invention discloses a data transmission method, apparatus, and system based on hierarchical port domains. The method includes dividing a switch port into several port switching units and switching domains. Each port switching unit includes several ports and first and second buffers. Each switching domain includes several port switching units and a temporary buffer. Each port has a pre-set internal routing number including a domain identifier, a unit selection bit, and a port index number. Data packets received by the receiving port are parsed to obtain the target port address and converted into a target internal routing number. If the unit selection bit of the target internal routing number is the same as that of the source internal routing number, the data packet is transmitted to the first buffer for reception by the target port. If the unit selection bits are different, the data packet is transmitted to the second buffer, and it is determined whether the domain identifiers are the same. If they are the same, the data packet is stored in the temporary buffer; if they are different, the data packet is placed in the out-of-band transmission queue for transmission to the target port. This invention offers high data transmission efficiency and good port scalability.

The invention relates to an Ethernet and optical fiber bus data rate adaptation method and device and electronic equipment, and the method comprises the steps: converting the data of an Ethernet protocol into the data of an optical fiber bus protocol according to a communication protocol conversion algorithm; storing the converted data in a data cache region, and determining a sending condition according to a flow control mechanism; and in response to the condition that the rate of the optical fiber bus end meets the sending condition, taking out the data from the cache region, and sending the data to the optical fiber bus equipment. According to the Ethernet and optical fiber bus data rate adaptation method and apparatus, and the electronic device, by implementing a data caching and flow control mechanism, the efficiency and reliability of data transmission can be improved, so that the performance of the whole network system is improved, and meanwhile, the data transmission efficiency is improved. The problem of data loss or congestion caused by mismatching of transmission rates between the Ethernet and the optical fiber bus can be effectively solved.

The utility model discloses a kind of bridge workstations with multi-channel super-long RF receiving and uploading function, belong to electronic equipment technical field, a kind of bridge workstations with multi-channel super-long RF receiving and uploading function, including rear shell and the front shell fixed in rear shell one side, the rear shell inside is provided with control host computer, recess is opened in the lower part of the other side of rear shell, the inner top wall of recess is equipped with network cable connection port and power interface, it can effectively solve the problem of low data transmission efficiency caused by traditional bridge workstation single channel or limited channel RF signal processing, insufficient simultaneous access capability of multiple devices, simultaneously break through the restriction of RF receiving and uploading distance, avoid affecting the stability and reliability of communication system due to signal attenuation, interruption in large industrial plant, remote monitoring system and other scenarios, and optimize equipment structure design and interface layout, reduce installation space occupation, improve the convenience of later maintenance and operation.

This invention relates to the field of chromatographic analysis technology and discloses a data collaborative processing method and system for distributed chromatographic analysis equipment. The method includes: constructing a global time-slot pre-allocation matrix by combining gradient elution commands and real-time calibration data of solvent peaks; performing finite difference operations on discrete digital signals to extract physical feature quantities and generate local signal status flags; performing dynamic arbitration of the bus through logical comparison, and triggering an absolute timestamp deep latching mode using direct memory access redirection when bandwidth is saturated; performing time-domain reconstruction on down-frequency data, and performing asynchronous backfilling and splicing on latched data to output a globally time-axis aligned chromatographic matrix. This invention solves the problems of data packet loss and bus congestion caused by multi-node concurrency through dynamic time-slot allocation and hardware-level local latching mechanisms, ensuring the integrity of chromatographic peak shapes under extreme bandwidth occupancy, and improving the data collaborative efficiency and quantitative analysis accuracy of the distributed system.

This invention discloses a fish transport system, wherein the fish collection device includes at least one fish collection channel laid in a river channel downstream of a reservoir, and the fish lifting device includes a main track, a secondary track, multiple fish collection boxes, and a cable car lifting device erected between the main track and the secondary track. The main track and the secondary track are respectively laid on the hillsides on both sides of the river channel. The cable car lifting device includes a main tower, a secondary tower, a cable, and a cable car. The main tower is slidably mounted on the main track, and the secondary tower is slidably mounted on the secondary track. The two ends of the cable are respectively connected to the corresponding main tower and secondary tower, and the cable car is slidably mounted on the cable. Multiple fish collection boxes are arranged in the fish collection channel along the extension direction of the fish collection channel. Fish collection boxes are also arranged in the breeding device. The cable car lifting device is used to lift the fish collection boxes corresponding to the fish collection channel through a detachable grip for transport between the fish collection channel and the breeding device, and to lift the fish collection boxes corresponding to the breeding device for transport between the breeding device and the water area of ​​the reservoir.

The present invention discloses a data transmission method, system, device, medium and program product, which relates to the field of data processing and is used to solve the problem that the current load balancing method is difficult to deal with in the low entropy traffic mode. The data transmission optimization method dynamically evaluates the state of each path by real-time monitoring the performance indicators of each path connected to the switch during the transmission process, such as transmission delay, bandwidth, packet loss rate and export queue load, and determines the amount of data to be transmitted that each path should bear according to these performance indicators. In this way, the traffic can be intelligently allocated so that the bandwidth of each path can be fully utilized, avoiding the congestion problem caused by the concentration of traffic on a single link in the low entropy traffic mode. At the same time, this real-time traffic distribution mechanism can balance the load of each path, prevent some links from being overloaded while other links are idle, and thus optimize the performance of the entire network.

This disclosure provides a message transmission method, apparatus, electronic device, related medium, and program product. The message transmission method includes: generating a data packet; wherein a first field in the data packet has a first original port number; determining that a first original path from the sending device to the receiving device is congested based on a congestion window value corresponding to the current routing period of the sending device; selecting a first virtual port number corresponding to the current routing period from a first set of candidate port numbers, updating the first field with the first virtual port number, and placing the first original port number in a second field of the data packet; the first virtual port number is used for routing calculations to obtain a first alternative path from the sending device to the receiving device; and sending the data packet so that after receiving the data packet, the receiving device extracts the first original port number from the second field and updates the first field with the first original port number for transport layer protocol processing. This disclosure can effectively improve message transmission efficiency.

The application discloses a parking lot virtual green wave guiding method and related equipment, the core is to construct a space-time resource map, according to which the path is planned and the time window is reserved to form a virtual green wave band, and instructions are issued to vehicle terminals and intelligent gates, while the vehicle position deviation is monitored, and the local re-planning is triggered when the threshold is exceeded. The scheme accurately solves the defects of the prior art: through the space-time resource map, the global space-time resource is overall planned, the exclusive time window is reserved for the vehicle, the multi-vehicle path conflict is eliminated from the root, and the short board of lacking global vision and active scheduling is made up; the virtual green wave band in space and time is used to replace the static road network navigation, the vehicle is actively guided to pass in order, the micro traffic congestion is effectively solved, and the in-parking lot passing efficiency is greatly improved; the real-time monitoring and local re-planning mechanism can quickly respond to sudden conditions such as vehicle failure, avoid congestion diffusion, guarantee the stability of traffic flow, and finally realize the seamless and non-stop passing of the vehicle from the entrance to the parking space.

The utility model discloses a control mainboard and a visual laryngoscope, and relates to the field of printed circuit boards. Wherein the first printed circuit board is arranged on one side of the second printed circuit board in a center opposite pasting mode, control elements are embedded in the first printed circuit board and the second printed circuit board, and the multiple control elements are connected with corresponding interfaces in the first printed circuit board and the second printed circuit board. The interfaces corresponding to the plurality of control elements are mutually connected through conductive connecting wires, and each control element at least comprises a main control chip; the interfaces at least comprise a data address signal interface and an address and control signal interface. As the two printed circuit boards are transversely placed and are connected with each other in a central opposite attaching manner, the interfaces on the printed circuit boards are completely exposed and can be used, and the control mainboard which completely utilizes all the interfaces on the printed circuit boards is realized, so that the layout and wiring space of the control mainboard is increased.

The utility model relates to a heat accumulating type combustion device, and belongs to the technical field of gas combustion devices. Comprising a hearth, a first heat accumulator and a second heat accumulator, a first air opening and a second air opening are formed in the hearth, the first heat accumulator is communicated with the first air opening through a first ventilation channel, and the second heat accumulator is communicated with the second air opening through a second ventilation channel; the included angle between the first ventilation channel and the first air opening and the included angle between the second ventilation channel and the second air opening are both smaller than 90 degrees, a first burner and a second burner are installed on the first ventilation channel and the second ventilation channel respectively, an outlet of the first burner faces the first air opening, an outlet of the second burner faces the second air opening, and a third burner is further installed on the hearth. According to the utility model, the problem of poor co-combustion caused by blockage of the air duct and the fuel port due to feeding at present is effectively solved, the production efficiency and the fuel combustion efficiency are high, the failure rate is low, and the emission of waste flue gas generated in production can reach the low-nitrogen and low-oxygen flue gas emission standard.

The present application relates to the technical field of wireless communication network, and discloses an FTTR wireless network system for enhancing the coverage of whole-house wireless signals and the utilization efficiency of network resources. The FTTR wireless network system comprises a master optical modem, an intelligent optical splitter, a plurality of slave optical modems and at least one terminal wireless AP. The uplink interface of the master optical modem is connected with the OLT of the network side through the home optical fiber. The input end of the intelligent optical splitter is connected with the downlink optical port of the master optical modem. The uplink optical ports of the slave optical modems are respectively connected with the output ends of the intelligent optical splitter through the optical splitters. The uplink network port of the terminal wireless AP is connected with the downlink electrical port of the slave optical modem through the category 6 network cable. The intelligent optical splitter is used for monitoring the transmission state of each optical splitter in real time and dynamically allocating bandwidth. The master optical modem performs unified configuration management and state monitoring on all slave optical modems and terminal wireless APs through the built-in intelligent control unit.

The utility model discloses a plant seed gel ball preparation device, and belongs to the technical field of organic contaminated soil bioremediation. The device comprises a support, a mixing pipe is installed on the support, the upper portion of the mixing pipe is communicated with a constant-pressure dropping funnel used for containing a sodium alginate solution, the other side wall of the mixing pipe is communicated with a Buchner funnel used for containing a sodium alginate mixed solution, and the side wall of the mixing pipe is communicated with a spiral sample injector through a branch pipe used for containing plant seeds. The lower part of the mixing pipe is communicated with an elbow dropper for mixing a sodium alginate solution, a sodium alginate mixed solution and plant seeds, and the lower part of the elbow dropper is communicated with a beaker. According to the utility model, a sodium alginate solution, a sodium alginate mixed solution and plant seeds can be respectively added through the device, and the spiral sample injector is operated according to grains during operation; effective mixing of materials and the success rate of crosslinking of the materials and calcium chloride are controlled through the device, the seed gel balls can be rapidly prepared, and the purposes of labor saving and mass production are achieved.

The present application relates to power transmission disaster prevention monitoring and industrial data management technical field, specifically to a kind of industrial data management's power transmission disaster prevention monitoring system, including multiple edge perception nodes distributed in target area, with edge perception node communication connection and having adjustable transmission bandwidth edge computing gateway and data processing hub;Edge perception node acquires industrial state data and node operating state data;Data processing hub receives data, quantization is calculated network fragile entropy state value of perception network based on node operating state data, change trend is calculated in combination with historical network fragile entropy state value sequence, predict the countdown rate of perception network approaching preset failure time threshold, and at least including regular polling instruction and suboptimal degradation scheduling instruction Dynamic scheduling instruction is generated and issued to edge perception node, to carry out integrated management and control to data transmission and computing power state.