32results about How to "Real-time management" patented technology

The invention provides a sewage treatment plant drainage water quality evaluation method and system, and the method comprises the steps: collecting and processing water quality parameters of a plurality of point locations of a sewage treatment plant, recognizing abnormal data points through a deep learning anomaly detection model, and carrying out the dynamic correction or elimination of the abnormal data points through employing a particle swarm optimization-based adaptive filtering algorithm, thereby achieving the evaluation of the drainage water quality of the sewage treatment plant. Obtaining normal water quality data; constructing a water quality prediction model by using an integrated learning method, and predicting a water quality change trend; generating a target water quality improvement measure combination by using a first water quality improvement strategy recommendation mechanism based on a multi-objective optimization algorithm; and establishing a closed-loop feedback mechanism, evaluating the application effect of the target water quality improvement measure combination by using a reinforcement learning algorithm, adjusting key parameters of the water quality prediction model and the multi-target optimization algorithm, optimizing the first water quality improvement strategy recommendation mechanism, and generating an optimal target water quality improvement measure combination. The system realizes comprehensive, accurate and real-time monitoring and management of the drainage water quality of the sewage treatment plant, and improves the water quality improvement effect.

The invention discloses a cargo loading information management method and system based on an intelligent shelf, and relates to the technical field of Internet of Things information management, and the method comprises the steps: collecting cargo warehousing information; uWB anchor points are deployed on the intelligent goods shelf, sensor signal features are collected, a support vector machine classification algorithm is used to identify NLoS conditions, and error correction is carried out; determining the distance between the cargo and the anchor point by using a three-dimensional positioning formula to obtain the three-dimensional coordinate of the cargo, and monitoring the safety state of the cargo in real time; historical demand data is collected, the cargo demand at the future moment is simulated and predicted by using Monte Carlo, and a replenishment plan is generated in combination with the Bayesian law to replenish the warehouse cargo inventory; and after the goods are delivered, a business report is generated. According to the invention, accurate HE efficient management of cargo information is realized, the safety, transparency and intelligent degree of the information management system are improved, optimization of warehouse management is realized, and the efficiency and safety of cargo management and the comprehensive efficiency of warehouse management are improved.

The invention discloses a CIM-based pipeline state intelligent monitoring method, system and equipment and a medium, belongs to the technical field of urban infrastructure management, and aims to solve the technical problem of how to realize comprehensive, real-time and intelligent monitoring and management of the pipeline state of an underground pipe network, automatically analyze potential risks and abnormities and improve the management efficiency of the underground pipe network. In order to improve the management efficiency and level of the pipeline state of the underground pipe network, the adopted technical scheme is as follows: constructing a data acquisition and transmission network: constructing the data acquisition and transmission network by deploying multiple types of sensors along the pipeline, and obtaining and transmitting the real-time operation data of the pipeline; preprocessing data and constructing a model: preprocessing the pipeline operation data, and constructing a precise three-dimensional model of the pipeline by using a CIM (Common Information Model) technology; and intelligent analysis and prediction: in combination with big data analysis and data mining technologies, deep analysis and prediction of pipeline operation data are realized, and potential risks are identified and early warned.

The invention provides an unmanned aerial vehicle remote real-time monitoring system and method, and belongs to the technical field of unmanned aerial vehicle monitoring, and the system comprises a selection module which obtains the specific purpose and task demands of an unmanned aerial vehicle, and selects a corresponding unmanned aerial vehicle model; the integration module is used for determining a plurality of factors influencing flight according to the model, configuring different sensors, and integrating data of the different sensors to obtain real-time state information of the unmanned aerial vehicle; the recognition module is used for acquiring key parameters of the unmanned aerial vehicle, establishing a state evaluation model, determining a real-time health state of the unmanned aerial vehicle and recognizing real-time abnormal behaviors and potential faults; the construction module is used for analyzing historical fault data, real-time abnormal behaviors and potential faults of the unmanned aerial vehicle and constructing a fault prediction model; and the positioning module obtains a fault diagnosis algorithm to position a fault reason, obtains a fault isolation strategy, and realizes remote real-time monitoring of the unmanned aerial vehicle. The problems that remote monitoring data of the unmanned aerial vehicle is inaccurate, and the safety and the efficiency of the unmanned aerial vehicle are reduced are solved.

The invention relates to the technical field of power system control, and discloses a flexible load control technical method based on a high-current switch built-in electric energy meter, which comprises the following steps: monitoring current and voltage in real time, and inputting data into a fuzzy logic control system; formulating a fuzzy rule, and judging a current state through fuzzy logic control; implementing a safe load removal and reset strategy for a super-capacitance power utilization scene, and executing an overcurrent opening operation; setting a maximum load threshold value according to different power utilization environment characteristics, and formulating a load control strategy; and a multi-stage power control scheme is implemented, and a load control security authentication mechanism is established. According to the method, electricity utilization characteristic research in typical application scenes is carried out, a load flexible control technology is researched in combination with a switch built-in scheme, a multi-scene and multi-cost control strategy is made through multi-stage power control, overcurrent opening and self-adaptive closing functions, flexible control over power consumers is achieved, and the electricity utilization management level is improved.

The invention provides a low-altitude aircraft monitoring system and method based on RID IN / OUT, and the method comprises the steps: receiving an RID OUT message through an RID ground station, and transmitting the RID OUT message to a supervision center; the mobile terminal equipment receives the RID OUT message and displays the RID OUT message; the RID message ground rebroadcasting equipment rebroadcasts the received RID OUT information; the aviation communication / data link ground station provides aviation communication and special data link service for the low-altitude aircraft; the ground ad hoc network equipment and the low-altitude aircrafts form a dynamic ad hoc communication network to obtain RID information of the low-altitude aircrafts in the network; the communication base station provides 4G / 5G communication service for the low-altitude aircraft; the satellite receiving station provides network support; the monitoring center completes authentication, duplicate removal, classification and display of RID monitoring data of the low-altitude aircrafts, and generates alarm information or automatically controls the low-altitude aircrafts connected to the monitoring system to perform evasion actions according to monitoring conditions; and the low-altitude aircraft broadcasts own RID information through an RID OUT function. The method has high flexibility and adaptability.

The invention discloses a water cup which comprises the components of a cup body which comprises a cup opening and is internally provided with an accommodating cavity; the cup cover covers the cup opening; the suction nozzle is arranged on the cup cover and is communicated with the accommodating cavity; the water quantity detection device is used for measuring flow data of the liquid flowing out of the containing cavity and / or liquid level data of the liquid in the containing cavity; the display device is arranged on the cup cover and / or the cup body; and the display device is used for displaying the flow data measured by the water volume detection device and / or the drinking water information determined based on the flow data. According to the water cup, the combination of the water volume detection device and the display device is adopted, the water volume detection device can detect data information related to the water volume in the water cup and display the data information in the display device, and therefore a user can check the data information through the display device at any time, and real-time monitoring and management of the individual water drinking volume are achieved.

The invention discloses a shared charging pile management and control method, device and equipment and a storage medium. The method comprises the following steps: receiving service information sent by a mobile terminal; acquiring a shared charging pile set with a distance smaller than a preset distance threshold according to the position information; screening the shared charging pile set according to the service information and the parameter information of each shared charging pile in the shared charging pile set to obtain a target shared charging pile; controlling the target shared charging pile to move to a target position corresponding to the position information; if a charging end signal of the target shared charging pile is received within a first preset time after the connection signal of the target shared charging pile and the target vehicle is received, obtaining charging data of the target shared charging pile, and generating order information according to the charging data; according to the technical scheme of the invention, the method can facilitate the use of a user and the management of the shared charging pile.

The invention relates to a food safety intelligent scale with infrared short waves and millimeter waves and an operation mode. An infrared short wave device and a millimeter wave device are used for achieving nondestructive testing on food ingredients, freshness and safety. When the scale is used in a food acceptance check link, the scale not only can accurately record the weight, quantity and image information of food, but also can detect the maturity of vegetables and fruits, whether the interior of the food is rotted or not and the pesticide residue condition on the surface. The system is wide in application scene and suitable for various occasions such as school canteens, enterprise and public institution canteens, government agency canteens, social catering canteens, central kitchens and food supply chain enterprises. Through detailed data analysis of the vegetable food consumption, a using unit not only can better monitor fund expenditure, but also can optimize a purchase plan, improve the efficiency of a supply chain and adjust an internal consumption mode, and finally achieves the goals of cost saving and reasonable resource allocation.

The application discloses a kind of construction methods of unmanned aerial vehicle swarm dynamic topology network, comprising: according to unmanned aerial vehicle communication load capacity, air node is divided into middle large unmanned aerial vehicle and small unmanned aerial vehicle;With middle large unmanned aerial vehicle as fixed cluster head, build first level relay network, with small unmanned aerial vehicle as cluster subnode, build lower layer swarm network;In lower layer swarm network, temporary cluster head is elected, and temporary cluster head is formed as the relay machine subcluster network;Through orthogonal frequency hopping pattern, bidirectional information interaction is carried out between first level relay network and subcluster network.This scheme can make unmanned aerial vehicle swarm establish dynamic topology structure, and efficiently utilize wireless spectrum resource, improve the network communication performance of unmanned aerial vehicle swarm.

A semi-automatic screw machine comprises a three-axis platform base and relates to the technical field of screw machines, a three-axis platform is arranged on the three-axis platform base and comprises an X axis, a Y axis and a Z axis, a three-axis platform upper plane is arranged on the upper side of the three-axis platform base, a screw feeder is arranged on one side of the upper portion of the three-axis platform upper plane, and a screw feeder is arranged on the other side of the upper portion of the three-axis platform upper plane. A screw index plate is arranged at one end of the screw feeder, an electric screwdriver buffer is arranged on the Z shaft, the Z shaft is movably arranged on the X shaft, an electric screwdriver is arranged on the electric screwdriver buffer and located over the screw index plate, and a jig is arranged on the Y shaft and located on one side of the screw index plate. The system is high in precision, high in reliability, high in durability, high in cost performance and high in universality, has a good operation interface, can achieve the functions of real-time process management, state display, data storage and uploading quality traceability through datamation management, can be matched with assembly line work, and does not need to change the existing production layout.

The invention discloses a wind power fire-fighting fault prediction system, which relates to the field of fire-fighting faults and comprises a management center, the management center is in communication connection with a wind power fire-fighting information acquisition module, a wind power fire-fighting information analysis module, a wind power fire-fighting prediction module and a wind power fire-fighting control module, and wind power edge nodes are arranged. Acquiring historical wind power basic data and wind power basic data of the wind power plant; according to the historical wind power basic data, wind power floating characteristics are obtained, according to the wind power floating characteristics, a wind power characteristic map is constructed, and according to the wind power basic data, wind power stop data and wind power factor data are obtained; constructing a wind power fire protection risk prediction model according to the wind power floating characteristics, and obtaining a wind power fire protection prediction value according to the wind power fire protection risk prediction model and the wind power characteristic map; according to the wind power fire-fighting predicted value, a fire-fighting control prevention strategy is obtained, and wind power fire-fighting fault prevention control is carried out on the wind power plant; according to the invention, the accuracy of fire-fighting fault prediction is improved.

The invention discloses an intelligent waistband and a medical data monitoring management system.The intelligent waistband comprises a waistband body, and the waistband body is provided with a sensing chip used for sensing vital sign signals of the human body, a pressure sensor assembly used for monitoring pressure distribution of different areas of the waist of the human body and a data display assembly; the sensing chip and the pressure sensor assembly are in wireless connection with the data display assembly respectively, measured data are transmitted to the data display assembly and displayed, and the sitting posture state of a user is judged by comparing a pressure value monitored by the pressure sensor assembly with a preset standardized pressure threshold value. The waistband not only can sense vital sign signals of a human body, but also can monitor pressure distribution of different areas of the waist of the human body, and can visually display monitored data. The invention further discloses a medical data monitoring and management system comprising the intelligent waistband, and comprehensive monitoring, real-time collection and efficient management of the health data of the user are achieved.

The invention relates to the technical field of nuclear power overhaul, and aims to solve the problem that plan execution of a conventional island region does not meet overall control requirements of overhaul due to the fact that numerous management points of the conventional island region are easy to omit during overhaul. The invention provides a nuclear power overhaul conventional island area management and control system. The system comprises a special management and control module, a ray arrangement module, a conventional island key path module, a conventional island work order statistics module, a conventional island QDR module and a work log module. The invention also provides a nuclear power overhaul conventional island region management and control method. The method comprises the steps of collecting conventional island region management and control important information; graphically displaying the progress and deviation of each work in the conventional island area; and propelling regional work according to the progress and the deviation. According to the invention, related key work in a conventional island area can be mastered completely, information is updated, and autonomous query is convenient and fast.

The invention discloses a transportation process management method and system based on the Internet of Things, and relates to the technical field of logistics transportation, and the method comprises the steps: carrying out the analysis of the transportation historical data of goods through deep learning; predicting possible delay or problems, and collecting feedback information to optimize a prediction result; constructing a multi-objective optimization model, and solving an optimal solution through a Pareto optimization algorithm; and re-planning a path and optimizing a transportation strategy based on an optimized prediction result. According to the method, the overall efficiency of logistics transportation is greatly improved, the cargo transportation time is shortened, the transportation cost is reduced, and the logistics industry is promoted to develop in the greener and sustainable direction by considering environment and energy factors. According to the invention, the flexibility and adaptability of logistics transportation are enhanced, various emergencies can be responded quickly and accurately, and safe and on-time arrival of goods is ensured. By using the Internet of Things technology, real-time monitoring and management of the logistics transportation process are realized, and the accuracy and timeliness of decision making are improved.

The invention provides a network equipment resource acquisition method which can be applied to the technical field of information security and big data. The method comprises the following steps: performing multi-thread acquisition on equipment resources in a target network, and sending an acquirable equipment resource set in the target network to a working node; utilizing the created resource task table to store an acquirable equipment resource set received by the working node in a classified manner; performing single-thread scanning on the resource task table by using the master working node, and issuing the resource discovery message queue to the slave working node under the condition that a scanning result meets a preset condition; based on a preset resource threshold and an acquisition interval, using the resource discovery message queue to control the slave working node to perform periodic resource acquisition on the target network; and dynamically updating the resource task table by utilizing an acquirable equipment resource set obtained by periodic resource acquisition of the working node. The invention also provides a network equipment resource acquisition device, equipment, a medium and a program product.

The embodiment of the invention discloses a diabetes management hearing aid system and a diabetes monitoring method based on the same, and relates to the technical field of hearing aid devices and algorithms. The system comprises a hearing aid; the flexible sweat sensor patch comprises a sweat collecting hole, an electrochemical electrode and a micro-channel, the outer side of the flexible sweat sensor patch is used for being attached to the skin behind the ear, and the inner side of the flexible sweat sensor patch is attached to the outer surface of the hearing aid; sweat of the skin behind the ear flows into the micro-channel through the sweat collecting hole, the sweat in the micro-channel is subjected to electrochemical reaction under the action of the electrochemical electrode, an electric signal is generated and transmitted into the hearing-aid chip, and the hearing-aid chip detects the blood glucose concentration through an internally integrated analysis algorithm. And the disease monitoring system is used for recording the detection data, analyzing the diabetes risk and linking the hearing aid to carry out in-ear early warning when the data is abnormal. The system is noninvasive and portable, and can solve the problem of user hearing and diabetes management at the same time.

A device capable of remotely controlling the water discharge amount of a roof overflow hole comprises a shell which provides an installation foundation for all assemblies in the device and provides protection for all the assemblies in the shell; the drainage pipe is arranged on the shell and penetrates through the whole shell, and the drainage pipe comprises a first pipe and a second pipe; the drainage pipe is used for draining accumulated water on the roof, and a regulation and control device capable of regulating the drainage amount is arranged on the drainage pipe; the regulation and control device is arranged in the shell and between the first pipe and the second pipe and is used for regulating the size of a water flow passing surface of the drainage pipe. According to the utility model, real-time remote management of the roof overflow hole is realized, a user does not need to go to the roof, the overflow hole can be opened and closed in real time according to rainfall and people flow conditions around a building, and surrounding pedestrians are not influenced while roof accumulated water is reasonably discharged.

The utility model discloses a digital forest compass, and belongs to the technical field of forest resource investigation. Comprising a measuring device integrated with a single-point ranging radar, an attitude sensor and an industrial camera; and the tablet computer is connected with the measuring device and is used for processing, recording and storing the data extracted by the measuring device. The utility model also discloses a digital forest compass measurement system, which comprises measurement hardware which is the digital forest compass; and the measuring software consists of embedded software and PC (Personal Computer) end software. The whole device is small in size, convenient to carry and capable of being operated by one person; compared with a traditional measuring instrument, data does not need to be manually recorded, input and corrected, real-time images and virtual sight beads presented by the industrial camera on software replace a sighting telescope of a traditional compass for target alignment, and efficiency is greatly improved. In an efficiency measurement test, the measurement efficiency of the instrument is twice that of a traditional instrument.

The invention discloses a visual construction management monitoring device and method based on BIM + AI, and belongs to the technical field of building construction. The device comprises a camera device, a connecting frame is arranged at the upper end outside the camera device, a second motor is arranged at the upper end inside the connecting frame, a hydraulic telescopic rod is arranged at one end of an output shaft of the second motor, a shock absorber is arranged at one end of the hydraulic telescopic rod, and a connecting frame is arranged at one end of the shock absorber. And five fiber rollers are transversely, sequentially and uniformly distributed in the connecting frame. Through driving of a second motor, stretching and retracting of a hydraulic telescopic rod and damping of a damper, fiber rollers can be attached to the camera device subjected to rotation adjustment, one fiber roller can independently rotate after being driven by a fourth motor, and the cleaning effect of the camera device can be further improved; potential safety hazards, quality problems and progress deviation in the construction process can be intelligently recognized, monitoring and management are conducted in real time, and a powerful guarantee is provided for smooth proceeding of a project.

The invention relates to the technical field of power grid dispatching, and discloses a power grid remote electricity charge management method, which comprises the following steps: collecting electric energy use data of a current user and current environment data; the method comprises the following steps: constructing a total power consumption prediction model through collected electric energy use data and current environment data of a current user, analyzing the real-time electric energy use data and the current environment data, and generating a scheduling strategy; according to the scheduling strategy, generating a corresponding power grid scheduling instruction, and performing optimization and real-time demand response management on the power distribution network; and generating a user power consumption bill based on the charging rule. The power grid can realize efficient and flexible scheduling by adjusting the generating capacity, the power transmission line and the user demand response in real time in combination with strategy optimization and artificial intelligence model updating, guarantees the stability and economy of power supply, and promotes the consumption of renewable energy sources and the participation of users at the same time.

The utility model discloses a spraying device for construction engineering construction, which comprises a spraying mechanism and a quick-drying mechanism, the quick-drying mechanism is fixedly connected to the front side of the spraying mechanism, the quick-drying mechanism comprises a quick-drying box, the back side of the inner cavity of the quick-drying box is fixedly connected with a motor assembly, and the output end of the motor assembly is fixedly connected with a gear assembly. A toothed plate assembly is arranged at the top of the gear assembly, the bottom of the toothed plate assembly is meshed with the gear assembly, an L-shaped plate assembly is fixedly connected to the front face of the toothed plate assembly, the side, away from the toothed plate assembly, of the L-shaped plate assembly is slidably connected with the inner wall of the quick-drying box, and a vertical plate assembly is fixedly connected to the top of the toothed plate assembly. The top of the vertical plate assembly penetrates to the top of the quick-drying box. According to the spraying device disclosed by the utility model, the phenomenon that the traditional sprayed coating is low in condensation speed is changed, and the quick-drying fan is adopted to quickly dry the coating, so that the efficiency is not very low, the coating cannot be quickly dried, and the spraying quality is not influenced.

The invention discloses a code resource dependency management method and device, a storage medium and a computer program product, and relates to the technical field of low-code development, and the method comprises the steps: obtaining a code resource packaging configuration rule input by a user, and determining an internal dependency relationship between code resources according to the code resource packaging configuration rule; a development state tree Json data structure is designed according to the internal dependency relationship to maintain code resources in a development state, and a development state maintenance result is obtained; according to the internal dependency relationship, designing a flat Json data structure to lock code resources in a running state to obtain a resource loading result; and performing dependency management on the code resources by integrating the development state maintenance result and the resource loading result. And internal dependency management of code resources from a development state to an operation state in a complex business scene is realized.

The invention relates to an anti-shake performance verification method and system for video corner tracking of a displacement sensor. The method comprises the following steps: acquiring a to-be-tested video file; feature point detection is carried out on each frame of video in the to-be-detected video file; performing optical flow tracking on the feature points between adjacent frames to obtain position information of the feature points in each frame; calculating the displacement difference of the feature points according to the position information of the feature points in each frame; and calculating the standardized displacement difference of each feature point in the adjacent frames according to the displacement difference of the feature points. The method has the beneficial effects that the calculation efficiency is improved, a unified evaluation standard is provided, and evaluation results obtained by using different methods and equipment have comparability and comprehensiveness.

The invention provides an AI-based water meter service intelligent management method and system and a medium, and belongs to the technical field of water meter management and big data. The method comprises the steps that water meter management system information including water meter equipment running state information and water consumption parameter monitoring information within preset time is obtained, water meter remaining power data, equipment working temperature data, water consumption duration data and water consumption data are extracted respectively, and the water meter remaining power condition can be judged according to the water meter remaining power data; the working temperature condition of the equipment can be judged according to the working temperature data of the equipment, processing is carried out according to the water consumption duration data to obtain an overtime water consumption index, processing is carried out according to the water consumption data to obtain an excessive water consumption index, processing is carried out through a preset water consumption behavior evaluation model to obtain a water consumption behavior evaluation index, and the water consumption behavior condition is judged. Through big data monitoring and processing, the running state of the water meter and the water using behavior condition of the user are mastered at any time, and the water meter management efficiency is improved.

The invention relates to the technical field of cold-chain logistics distribution, in particular to an electronic system storage method for cold-chain data according to orders and distribution starting and ending time, which at least comprises the following steps: associating the orders with the data, acquiring the cold-chain data in real time, and automatically recording and checking the distribution time by the system; meanwhile, setting an abnormal condition processing mechanism and a differential storage mechanism; storing the data in an electronized manner; and finally, automatically generating a compliance report. In the whole cold chain transportation process, refined and real-time management of high-professional products can be achieved, it is ensured that key factors such as temperature and humidity and time are effectively monitored, and the requirements of laws and regulations are met. According to the whole scheme, the traceability and automatic management of the whole process are realized from order generation, data acquisition, exception handling to compliance report generation.

The invention discloses an image recognition measuring method and system for the body size of a goat, and the method comprises the steps: collecting and processing the body surface data of the goat through a multi-view dynamic capturing technology, and obtaining a three-dimensional body surface model of the goat; based on the three-dimensional body surface model, identifying a position associated with the goat body size, and obtaining a body size feature point set and a topological relation thereof; calculating the body size data of the goat according to the body size feature point set and the topological relation thereof; and performing global correction and optimization processing on the body size data to obtain final corrected body size data. According to the embodiment of the invention, efficient, accurate and real-time body size measurement and management can be realized by fusing a multi-view dynamic capture technology, three-dimensional modeling and topological relation analysis.

The present invention discloses a method for evaluating the dust accumulation of photovoltaic power stations with a granularity of hourly string level, and relates to the technical field of photovoltaic power station dust accumulation evaluation. The method comprises the following steps: obtaining the actual operation information of the photovoltaic power station and the construction drawings to clarify the affiliation between the string and the inverter to construct the string-level topological structure; collecting the historical operation data of the photovoltaic power station to implement the labeling operation, and selecting the characteristic variables to judge the string current, and setting the dust accumulation degree state classification basis according to the judgment result; building a training string-level hourly dust accumulation evaluation model based on the convolutional neural network algorithm, characteristic variables and state classification basis; inputting the real-time collected data into the dust accumulation evaluation model to predict the string current, and comparing the predicted value with the actual value to evaluate the dust accumulation state. The present invention realizes real-time monitoring and prediction of dust accumulation, improves the operation efficiency of the photovoltaic power station, and realizes effective management of dust accumulation problems while reducing costs.

The present invention provides an industrialized construction progress management method, device, electronic device and storage medium provided by the present invention, wherein the method comprises: receiving a component task submission request; verifying the component task submission request, and if the verification passes, updating the actual task information of the target component task in the industrialized construction task sequence, and the estimated task information of the downstream component task of the target component task, wherein the target component task is the component task in the industrialized construction task sequence indicated by the component task submission request; the component tasks of each component in the industrialized construction task sequence are arranged in the order of production, loading, transportation, hooking and hoisting, thereby solving the problem that the traditional progress management method cannot perform refined management of construction projects, realizing real-time management of construction progress, and improving implementation efficiency.

The invention provides a base station topological data determination method and device and a base station management system, and the method is applied to a baseband unit in a base station, and comprises the steps: obtaining a routing table and a base station equipment list of the baseband unit; determining first topological data of the first equipment and the baseband unit according to the routing table of the baseband unit and the base station equipment list; detecting the device type of the first device; selecting a first expansion unit and a first radio frequency unit from the first equipment under the condition of determining that the equipment type of the first equipment comprises the expansion unit and the radio frequency unit; determining first topological data and second equipment of the first radio frequency unit and the first expansion unit by using a routing table of the baseband unit and a base station equipment list; when it is determined that the device type of the second device comprises the radio frequency unit and does not comprise the expansion unit, determining the second device as a second radio frequency unit; determining first topological data of a second radio frequency unit; and summarizing the topological data to obtain target topological data of the base station.