294results about How to "Rapid deployment" patented technology

The invention discloses a dam safety monitoring agent system based on a multi-dimensional large model and digital twinning, and belongs to the technical field of safety monitoring of water conservancy and hydropower engineering. According to the method, a cognitive decision kernel is used as a core innovation module, multi-source data is collected by relying on a sky-ground hydraulic engineering integrated sensor network, cross-modal data fusion and anomaly recognition are achieved through a multi-dimensional large model cluster, and multi-physics coupling simulation is completed in combination with a digital twinborn body; the cognitive decision kernel generates an optimal combination scheme through case retrieval and measure unit adaptation degree calculation, a control instruction is output after digital twin rehearsal verification, and finally closed-loop control of dam safety real-time early warning, autonomous decision making and efficient disposal is achieved through an autonomous response mechanism. The problems of data island, passive response, expert dependence and the like of a traditional monitoring system are solved, the dam safety management intelligent level and the emergency response capability are remarkably improved, and the method has wide engineering application value.

The invention discloses a photovoltaic-energy storage-charging multi-stage scheduling and market bidding optimization method and a photovoltaic-energy storage-charging multi-stage scheduling and market bidding optimization device. The method comprises the following steps: constructing a data-driven random environment model reflecting photovoltaic output, electricity price fluctuation and charging load uncertainty by adopting a mode of combining time sequence clustering and a non-homogeneous Markov chain based on historical operation data; modeling a scheduling and bidding problem of the optical storage and charging integrated station into a multi-stage Markov decision process model which comprises day-ahead decision and joint optimization of multiple intra-day rolling adjustment; a deep reinforcement learning algorithm is utilized to train the network, and a strategy regulation and control network which can adapt to various uncertain scenes and meet equipment physical constraints is obtained; and deploying the trained strategy regulation and control network in an energy management system to realize global coordinated scheduling and bidding of the optical storage and charging integrated station. According to the method, the economic benefit is remarkably improved, the robustness is greatly enhanced, the decision is globally coordinated and optimized, the real-time decision capability is strong, and the expandability and portability are good.

The invention discloses a steel structural member local corrosion intelligent identification and evaluation method based on deep learning, and the method comprises the steps: obtaining a steel structure surface image through an imaging device, carrying out the feature extraction and corrosion region identification of an input image through a YOLOv12 semantic segmentation model which introduces a CBAM self-attention mechanism, and generating a pixel-level corrosion mask; the actual physical area of the corrosion area is automatically calculated based on an area calculation algorithm of conversion of mask integration and ground sampling distance; the residual bearing performance of the corroded component is evaluated in combination with the corrosion area ratio and the morphological characteristic prediction model; and finally realizing visual display and report output of detection results, area data and performance indexes through a graphical interface. According to the invention, full-process automatic processing of local corrosion of the steel structural member from detection, segmentation, quantitative measurement and calculation to member performance evaluation is realized, and closed-loop intelligent evaluation from visual detection to mechanical evaluation is realized.

The invention discloses a 2.4 G-based RSSI (Received Signal Strength Indicator) positioning data relay transmission device and method, and belongs to the technical field of wireless communication. The device comprises a positioning label, a positioning gateway, a relay gateway and a public network gateway. The positioning tag broadcasts a 2.4 G signal containing the ID of the positioning tag; the positioning gateway scans the 2.4 G signal, and generates and broadcasts a data packet in which a positioning gateway address, a data packet number, a relay level and aggregated data are packaged; a relay gateway is switched to a low-power-consumption mode after initialization through a monitoring-learning-synchronization mechanism, wakes up and receives data in a broadcast time window of an upstream gateway of the relay gateway, updates a relay level and forwards the data to a downstream gateway, and therefore multi-hop relay transmission of the data is achieved. And the public network gateway finally uploads the data to a cloud platform or an upper computer. According to the invention, through data aggregation and time synchronization dormancy, the system power consumption is greatly reduced, and long-distance and long-endurance positioning data transmission of battery power supply in a complex environment is realized.

The invention provides a real-time disaster situation multi-dimensional verification alarm method and system based on a large model, and relates to the technical field of disaster situation response, and the method comprises the steps: carrying out the backtracking and calling of multi-source disaster situation associated data after a disaster situation early warning signal is received, and obtaining a heterogeneous disaster situation data set; starting a dynamic task chain scheduling mechanism, executing multi-priority thread trend analysis, and outputting a multi-dimensional index analysis result; executing multi-dimensional index cross verification, and outputting a disaster verification conclusion; disaster decision making is carried out, and a disaster decision instruction is generated; carrying out township-level disaster situation grid positioning, and outputting a disaster boundary coordinate set; after the thermal rescue target spot is framed, geological disaster avoidance analysis is carried out, and a safety buffer area is positioned; and executing an alarm verification response. The technical problems that in the prior art, a disaster monitoring and early warning system mainly depends on a step-by-step reporting mechanism, so that disaster information transmission is lagged, accuracy is lost, and timeliness and accuracy of post-disaster rescue work are affected are solved.

This utility model relates to the field of foundation pit protection technology and discloses a protective device for water tank foundation pits. It comprises at least one set of two main protective railings, two connecting plates, and secondary protective railings equidistantly arranged between the two connecting plates. Movable seats are fixedly installed at equal intervals on the inner side of each connecting plate. This device achieves overall optimization of the protection system through a multi-layered reinforcement structure. The double-rib design built into the main protective railings forms a parallel reinforcement structure, effectively resisting the horizontal earth pressure on the sidewalls of the foundation pit. Experimental calculations show that under the same load conditions, the deformation of the railing is reduced by more than 40% compared to traditional single-layer structures. The hollow core slab uses a grid structure composed of reinforcing rib seats and reinforcing rib columns to form a three-dimensional support system. The diameter of the reinforcing rib columns is 1 / 3 to 1 / 2 of the height of the reinforcing rib seats, and the surface is provided with annular reinforcing ribs. This parameter configuration increases the compressive strength of the hollow core slab to over 8 MPa.

The application discloses a kind of Python model distributed online deployment method and system, data processing and feature engineering code converter designed by the application convert the logic of offline data processing and feature engineering of Python model training front-end into online Python code;Model engine designed by the application can quickly load various different kinds of Python models such as machine learning, deep learning, natural language processing etc.Through the Python model distributed deployment method and system provided by the application, Python model can be quickly deployed online, and can easily meet the requirements of high concurrency, high availability and fault tolerance etc.Algorithm engineers only need to spend time and effort on modeling, thereby improving the model development efficiency and shortening the model iteration cycle.

The application discloses a quick deployment control method, system and equipment for a fabricated movable building cabin, and belongs to the field of mobile buildings. The method comprises the following steps: after the fabricated movable building cabin is moved to a deployment area, a topographic survey and target landing attitude solving are performed to determine first driving parameters; an electric mechanical adjusting mechanism reaches a preset profiling attitude and is synchronously lowered; a driving current signal is synchronously collected, a current loop inflection point is identified, cabin body inertia measurement and solving are triggered, after landing, idle stroke is stopped and a load establishment stage is entered, closed loop load establishment analysis is adopted to determine an initial load, and cabin body initial landing is completed; structure strain monitoring is performed on the cabin body main structure, equivalent interference torque is analyzed, and a driving disturbance adjuster performs directional triggering and flexible service deployment adjustment. The application solves the technical problems of the prior art, such as complicated deployment process, insufficient identification accuracy under complex working conditions, and insufficient deployment efficiency and safe and stable operation.

The invention relates to a long-horned beetle natural enemy injection device and a using method thereof, and belongs to the technical field of long-horned beetle control, the long-horned beetle natural enemy injection device comprises a traction rod, a natural enemy storage pipe, a ventilation cover and filling glue, the ventilation cover detachably covers the open end of the natural enemy storage pipe, and the traction rod can movably penetrate through the connecting end of the natural enemy storage pipe; the traction rod is used for being inserted into a trunk boring hole and reserving a communication channel, the filling glue is arranged between the connecting end of the natural enemy storage pipe and the periphery of the trunk boring hole, and the filling glue is used for seamlessly sealing and bonding the traction rod, the connecting end of the natural enemy storage pipe and the periphery of the trunk boring hole. The long-horned beetle worm hole is positioned through the traction rod, a communication channel of the natural enemy and the worm hole is reserved, seamless sealing bonding of filling glue is matched, the natural enemy storage pipe and the worm hole are communicated to form a closed parasitic space, the search range of the natural enemy is greatly reduced, the natural enemy is forced to make contact with long-horned beetles in the worm hole, and therefore the parasitic efficiency and the prevention and control speed of the natural enemy are improved. The green prevention and control requirements of forest and fruit industries are met.

This invention discloses a method and system for migrating edge-based on-network storage data based on SDWN and UAVs. Under the SDWN architecture, multiple UAVs are used as destination nodes for data migration. The multi-UAV-assisted on-network storage data migration problem is modeled as an NP-hard combinatorial optimization model of many-to-many communication routing planning. A two-stage solution method is designed: first, a node similarity matrix is ​​obtained based on the average comprehensive network state score between nodes, and spectral clustering k-means is used to obtain reasonable data file allocation decision variables and UAV access node decision variables. Then, for the path selection of many-to-many communication routing planning when multiple data files are transmitted in parallel, the whale optimization algorithm is used to solve the problem, effectively reducing link contention and shortening the maximum migration time of the system. Experimental results show that, on different topologies, after determining reasonable parameter settings, the algorithm of this invention outperforms the benchmark method in data migration efficiency and has lower migration time overhead, demonstrating the effectiveness and applicability of the algorithm.

The invention discloses an integrated movable cold spraying system which comprises a movable platform, and a cold spraying control cabinet, a gas source, a powder feeder and a heater which are integrally mounted on the movable platform. The spray gun is connected with the movable platform through an integrated pipeline and comprises a spray pipe, a grip and a switch arranged on the grip. The system is provided with a pneumatic control module for distributing gas output by a gas source, so that the gas source is respectively connected with the powder feeder and the heater. A powder feeding gas pipe of the powder feeder flows through the heater to preliminarily preheat powder carrying gas, and then the powder feeding gas pipe and a hot gas pipe of the heater are jointly led to the integrated pipeline. According to the invention, high-pressure cold spraying core equipment is integrated on the mobile platform and is connected to the spray gun with a simplified structure through the integrated pipeline, so that rapid movement and deployment of the whole set of system are realized. And the spray gun is light in weight and can be held by hand, so that high-pressure spraying operation is flexible and convenient, and the field operation capability of the high-pressure cold spraying technology is greatly expanded.

This invention relates to a method and system for automated generation of TSN network configurations based on a reflective agent. The system comprises a network state perception and intent reflection module, a YANG model configuration parameter and structure decision module, and a YANG model intelligent generation module. The network state perception and intent reflection module is responsible for structurally perceiving network state and resource information. The YANG model configuration parameter and structure decision module integrates multi-source knowledge and contextual information, intelligently generating deployable TSN scheduling parameters and YANG configuration structures based on business needs. The YANG model intelligent generation module automatically generates the corresponding YANG configuration model based on the optimized results, performs syntax and semantic verification, and then distributes it to the target device, achieving automated deployment of network configurations. This invention significantly improves the intelligence level and deployment automation capability of TSN network configuration by introducing reflective reasoning and feedback optimization techniques.

The utility model relates to hard shield technology field especially, and more particularly to a folding hard shield containing bulletproof window, the utility model provides such a folding hard shield containing bulletproof window, including positive face shield board, hinged frame, energy absorption board and side shield board etc. Three positive face shield boards are arranged longitudinally, and the positive face shield board in the middle is located more forward, each two positive face shield boards are symmetrically connected with the hinged frame, the positive face shield board is internally provided with the energy absorption board, and the two sides of the three positive face shield boards are rotatably connected with the side shield board. The utility model is provided with the hinged frame and the multi-module design, the shield can realize 180 degrees folding of three layers of positive face shield boards and 270 degrees rotary folding of the side shield board, the volume is reduced by more than 60% after folding, which is convenient for transportation and carrying, and is especially suitable for rapid deployment and narrow space operation.

The invention provides a power distribution network resource scheduling method and system based on computing power network integration, and belongs to the technical field of data processing and resource scheduling, and the method comprises the steps: obtaining a plurality of communication signals and a plurality of corresponding service requests, and packaging the communication signals and the service requests into a plurality of standardized data; corresponding response tasks are generated according to the service requests, and task resource requirements of the response tasks are determined; performing resource scheduling on each response task according to each task resource demand and a preset resource scheduling model, and determining resource configuration of each response task; according to each resource configuration, scheduling and allocating a plurality of virtual resources to each response task from a preset resource pool; and according to each response task and a plurality of corresponding virtual resource units, carrying out data processing on each piece of standardized data, so that by implementing the method and the device, the problems of relatively low utilization rate of power distribution network resources and inflexible scheduling in the prior art can be solved.

The application discloses a shaft-hole assembly insertion method based on a gating cycle unit. The method classifies and predicts dynamic contact force with time sequence information in the shaft-hole assembly process based on a gating cycle network, and realizes the shaft-hole assembly insertion task of a base in an uncertain posture in combination with speed-based admittance control. Different contact states are mainly divided into eight categories, which are located on the coordinate axes and between the coordinate axes of a Cartesian coordinate system. The change process of each category of contact state is from the existence of a certain inclination posture difference between the shaft and the hole to the smooth insertion of the shaft into the hole. Based on the gating cycle unit method, the contact state recognition of eight different dynamic contact force sequences can be quickly realized. The application can realize the shaft-hole assembly task of the base in the uncertain posture, the dynamic contact force with the time sequence information can improve the accuracy of the contact state recognition, and the data-driven method can make it quickly migrate to other shaft-hole assembly platforms.

This invention discloses a liquefied petroleum gas (LPG) frying boiler with easy temperature control and its operating method, specifically relating to the field of frying boiler technology. It includes a mounting frame and multiple LPG stoves, all of which are fixedly installed at the bottom of the mounting frame. Each LPG stove has a boiler assembly on its top, and each boiler assembly includes a boiler body, two sliding sleeves, two second sliding groove plates, and two second sliding plates. The opposing sides of the two sliding sleeves are fixedly connected to the boiler body. This invention uses a stepper motor output shaft to drive a lead screw, thereby moving the support frame and boiler body backward. When the first light is energized, it indicates that the current boiler body has moved to a non-heating position away from the LPG stove. Subsequently, another boiler body can be horizontally moved along the length of the mounting frame to a heating position directly above the current LPG stove. Overall, temperature control is convenient and the movement is flexible, effectively improving frying processing efficiency and the stability of finished product quality.

The application provides a radar precipitation measurement method and device based on a 45-degree slant depolarization ratio, which uses a radar with or modified to realize 45-degree slant polarization to collect single-shot double-receiving two-channel complex voltage data, calculates a slant baseline linear depolarization ratio and a reflectivity factor Z; identifies a melting layer according to a vertical pointing profile observation collected by the radar in a vertical pointing mode, and applies upper and lower boundaries of the melting layer to a near-horizontal scanning mode to realize liquid rainfall identification; performs rain attenuation correction on and Z, and according to the rain attenuation corrected and Z, looks up a table or a neural network to inverse precipitation parameters such as rainfall intensity, mass-weighted mean diameter, normalized intercept, number concentration and water content. The application improves the precision and robustness of precipitation measurement.

The utility model relates to the field of tunnel construction emergency, and discloses a tunnel construction emergency early warning system. According to the invention, through integration of an informatization technology and a mechanical device, the emergency response capability of a construction scene is significantly improved. According to the system, a multi-module linkage mechanism is adopted, the abnormal state in the hole can be sensed in real time, early warning can be triggered synchronously, and the problems of delay and information transmission errors existing in traditional manual early warning are effectively solved. When a sudden dangerous case occurs, the wireless communication and intelligent control module can quickly cover a hole opening, the interior of the hole and an adjacent tunnel with a signal, and it is ensured that an operator receives an evacuation instruction at the first time through multi-dimensional warning means such as sound and light, voice and traffic signals. Meanwhile, due to intervention of the fixing support and automatic equipment, the posture of the construction trolley can be stabilized, the safety risk of manual operation is avoided, and the probability of secondary disasters caused by instability of the equipment is reduced fundamentally.

This invention discloses a rapid splicing control method for high-efficiency liquid-cooled energy storage modules, relating to the field of energy storage system technology. It includes five core control steps: pre-configuration before splicing involves reading module identity and parameters via wireless communication, verifying compatibility, and generating a splicing sequence; physical splicing employs visual and mechanical collaborative positioning, dynamically adjusting to ensure precise interface alignment; the liquid-cooled circuit opens the reversing valve in a timed sequence, monitoring pressure and flow to achieve leak-free connectivity; the electrical interface uses adaptive detection to match protocols and voltage, with soft-start to avoid current surges; after splicing, a collaborative algorithm dynamically allocates power and flow, with closed-loop control ensuring stable system operation. This invention significantly improves the splicing efficiency and positioning accuracy of liquid-cooled energy storage modules, possesses fault tolerance and flexible expansion capabilities, adapts to large-scale and distributed energy storage scenarios, and meets the high-efficiency and reliable operation requirements of energy storage systems.

The utility model discloses online sampling and detecting equipment for water pollutants, relates to the technical field of water pollutant detection, solves the technical problem that sampling, detecting and washing cannot be automatically and repeatedly carried out in the existing technical scheme, and comprises a main vehicle body, a mounting frame is fixedly mounted on the upper wall surface of the vehicle body, and a detecting pipe is fixedly mounted on the mounting frame; the detection pipe is a vertical pipe, a detection laser transmitter is arranged at the upper end in the detection pipe, and a detection laser receiver is fixedly mounted at the lower end of the detection pipe. According to the utility model, the unique control valve is matched with a sampling and flushing structure, so that the automatic switching of water samples and the automatic flushing of the detection pipe can be realized; water sample residues and cross contamination are effectively avoided, and the accuracy and representativeness of detection data are greatly improved; the device integrates a controller and a touch screen, operation can be completed conveniently in a touch mode, multiple sampling detection modes are supported, manual guarding is not needed, and the device is suitable for long-time unmanned online monitoring in various water environments.

The application discloses a kind of for the method, device, equipment and medium of tab abnormality detection in battery cell production process, comprising: the tab area image collected in battery cell production process is segmented to generate tab mask;Based on the tab mask extraction multi-scale pixel-level feature vector, and the multi-scale pixel-level feature vector is input into unsupervised probability GMM model to identify pixel-level abnormal point;The pixel-level abnormal point is analyzed to obtain candidate abnormal area, and the parameter index of the candidate abnormal area is obtained;Determine whether the parameter index meets the set tab abnormality judgment rule, if meet, it is judged as tab abnormality, and tab abnormality result is output.Therefore, the application can be widely applied to the detection of tab folding, crease, fracture, misplacement and other abnormalities on battery cell production line.

The application discloses a 5G private network application delivery method and system based on a 5G edge cloud, and a medium, the method comprising: obtaining an external deployment task; receiving delivery target information selected by an application manager according to an external deployment task displayed on a man-machine interaction interface; the delivery target information comprising product information, version information, application image information and a target MEC node to be deployed in a 5G application delivery system; synchronizing the delivery target information to a MEC operation platform, and synchronously receiving target MEC node information deployed by the MEC operation platform to complete 5G private network application delivery based on the 5G edge cloud. The method integrates an application management system and an edge cloud management system, and fuses application images and edge cloud images, so that corresponding application images can be deployed on demand during delivery, and 5G private network application delivery can be quickly realized.

This invention relates to an active learning-based data-free black-box attack method and system based on multidimensional value assessment, belonging to the field of artificial intelligence security technology. This method constructs a pre-emptive "sample screening funnel," utilizing a local substitution model to perform multidimensional assessments of sample boundary approximation, information uncertainty, and geometric diversity before sending images to a commercial cloud API. Only high-value samples are selected for querying, thereby achieving low-cost, high-efficiency model theft and adversarial attacks. This invention ensures the diversity and training stability of data-free generated samples, significantly improves the transfer success rate of adversarial examples, and achieves "low-cost, low-risk" economical attacks. It has strong versatility and can be seamlessly integrated into various existing data-free attack frameworks, facilitating deployment and implementation in practical security assessment systems.

This application relates to the field of intelligent connected vehicle technology, and particularly to a method and apparatus for remote configuration of scenario modes. The method includes: acquiring multiple atomic conditions and multiple atomic actions corresponding to various scenario modes of a target vehicle, to construct a target scenario mode based on at least one atomic condition and at least one atomic action; configuring the target scenario mode to the target vehicle, and obtaining the execution result of the target scenario mode if the atomic conditions and atomic actions in the target scenario mode meet the target safety conditions; adjusting the atomic conditions and / or atomic actions in the target scenario mode according to the execution result until the adjusted target scenario mode meets the target requirements, and configuring the adjusted target scenario mode to the target vehicle. This solves the problems of inflexible configuration logic, long response cycles, and difficulty in quickly matching dynamic market demands in the construction methods of scenario mode configuration technologies in related technologies, which affect the optimization and iteration of the driving experience.

The invention discloses a road maintenance site AI video sensing vehicle intrusion prevention and hidden danger self-inspection early warning system, and belongs to the technical field of road maintenance safety prevention and control. The system adopts a layered framework of a sensing layer, a transmission layer, a platform layer and an application layer, double AI cameras are used for realizing accurate identification of vehicle intrusion, hidden dangers and'three violation 'behaviors, and a'identification-early warning-supervision-rectification-tracing' management closed loop is constructed by matching an acousto-optic early warning device and a double transmission mode. The system can be quickly deployed in various operation vehicles or fixed structures, adapts to complex outdoor environments, has the advantages of high recognition precision, quick response and high compatibility, is suitable for maintenance scenes such as highways, national and provincial trunk lines, urban roads and the like, and can greatly improve the safety management level of maintenance operation.

The utility model discloses a safety belt hanging rack for electrical equipment maintenance. The safety belt hanging rack comprises a clamping jaw, a driving piece and a hanging rod, the two clamping jaws comprise a fixed clamping jaw and a movable clamping jaw, a hanging rod is arranged on the fixed clamping jaw, and the driving piece is connected with the movable clamping jaw to drive the movable clamping jaw to be close to the fixed clamping jaw or away from the fixed clamping jaw; each clamping jaw comprises a base plate and a clamping plate, the left side and the right side of the front end of each base plate are each provided with a first clamping part, and each clamping plate is provided with a second clamping part; when the second clamping part is clamped with the first clamping part on the left side, the clamping jaw is an L-shaped clamping jaw with an opening facing the left side; and when the second clamping part is clamped with the first clamping part on the right side, the clamping jaw is an L-shaped clamping jaw with an opening facing the right side. According to the device, the two clamping jaws are used for being clamped on a profile steel frame of the electrical equipment to be fixed, various fixing requirements can be met through shape switching of the clamping jaws and cooperation of the driving part, and stable fixing can be achieved whether the device abuts against the position between two pieces of profile steel or is clamped on a certain profile steel.

The application relates to the technical field of data processing, and discloses a receiving multi-channel phase fast calibration compensation method, which comprises the following steps: sending original sampled data into a digital down-conversion module, sending filtered data into a peak value searching module, calculating a signal phase, calculating corresponding sine and cosine values, and outputting calibrated data after the down-converted data are multiplied with the sine and cosine values calculated in step S4 through a phase compensation module; the receiving multi-channel phase fast calibration compensation method can perform real-time phase calibration compensation, can perform phase calibration compensation on multiple different frequency points respectively, and greatly improves the calibration precision and the calibrated performance; the method can enable a large phased array system to be quickly deployed, greatly saves the time spent in calibrating the phase, can also reduce the uncertainty caused by human measurement errors, and greatly improves the stability of the system.

A rapid-moving lining trolley for tunnel sidewall lining includes a dump truck. A mounting plate is vertically installed on the side of the dump truck's cargo box, and steel formwork is connected to the mounting plate via an automatic telescopic rod matrix. This invention utilizes hydraulic rods in conjunction with the steel formwork structure to form a stable support, effectively resisting construction vibrations and ensuring structural stability during concrete pouring, thus guaranteeing construction quality and safety. This invention, through modification of a conventional dump truck, allows for convenient on-site relocation and rapid deployment to unstable rock sections such as shallowly buried tunnel sections, weak and fractured zones, and fault zones. Especially in areas with a risk of sudden collapse, it can respond quickly and arrive at the work location promptly to carry out reinforcement work, exhibiting strong adaptability and high mobility.

This utility model relates to the field of municipal supplies, specifically a portable road vehicle counter, including a laser emission counter, a clock module, a microprocessor, a memory, and a power supply module. The laser emission counter includes a transmitter and a receiver respectively located on both sides of the road segment to be measured. The transmitter emits a laser beam, and the receiver receives the laser beam and generates an electrical signal. The clock module, laser emission counter, and memory are all communicatively connected to the microprocessor. When the microprocessor receives a counting signal triggered by a vehicle blocking the laser beam, it simultaneously acquires the current time information provided by the clock module, binds the counting result corresponding to the counting signal with the time information, and stores it in the memory. This solution can count the number of vehicles passing through within a certain time period, thereby determining the frequency and temporal pattern of traffic congestion on a certain road segment, allowing for adjustments to construction organization and facilitating road engineering modifications.

The utility model provides a distributed communication relay device for an unmanned target vehicle cluster, which comprises a main control cabin body, a communication module cabin and a power supply cabin, the communication module cabin is detachably connected above the main control cabin body, and the power supply cabin is detachably connected below the main control cabin body; a main control circuit board is arranged in the main control cabin body, and a power interface is arranged on the right side surface of the main control cabin body; a laser communication unit is fixed in the middle of the top of the communication module cabin, and a radio unit is arranged in the communication module cabin; lithium battery packs connected in parallel are arranged in the power supply cabin, a charging interface and a power connector assembly are arranged on the right side face of the power supply cabin, and the power connector assembly is connected with a power interface of the master control cabin body in a pluggable mode. According to the utility model, a split type detachable structure is adopted to reduce the size of the device, rapid deployment and maneuvering guarantee are facilitated, complementary communication guarantee is formed for an unmanned target vehicle cluster by adopting the directional laser communication unit and the radio unit, and the device is particularly suitable for unmanned cluster combat requirements under field operation conditions.