CN116095723A

CN116095723A - Asset management system of communication base station

Info

Publication number: CN116095723A
Application number: CN202310047749.0A
Authority: CN
Inventors: 万久地; 董良松; 马攀
Original assignee: China Tower Co Ltd
Current assignee: China Tower Co Ltd
Priority date: 2023-01-31
Filing date: 2023-01-31
Publication date: 2023-05-09

Abstract

The invention provides a communication base station asset management system, relates to the technical field of communication, and aims to solve the problem that the intelligent degree of asset equipment management in the communication industry is not high. The system comprises a sensing device, a processing device, terminal equipment and at least two asset equipment in a communication base station, wherein the sensing device is in communication connection with the processing device through a network, and the processing device is in communication connection with the terminal equipment; the sensing device is used for acquiring asset data of the asset equipment, the sensing device is also used for transmitting the asset data to the processing device, the processing device is used for generating maintenance information corresponding to the asset equipment based on the asset data, and the processing device is also used for transmitting the maintenance information to the terminal equipment. The invention can realize the automatic management of the whole flow of the asset equipment, thereby improving the accuracy and efficiency of asset management.

Description

Asset management system of communication base station

Technical Field

The invention relates to the technical field of communication, in particular to an asset management system of a communication base station.

Background

Under the condition of a plurality of processes of a plurality of production chains of a plurality of departments of a plurality of factories, a system which only depends on manual checking or local processes is generally difficult in information tracing, accounts, asset cards, objects and management are difficult to form a unified and effective management system, the technical limitations of electronic fence technology, material management and the like of other industries are relatively large, the method is not applicable to the communication industry, particularly for a base station with higher discrete degree and materials in the base station, frequent mobilization can exist due to various engineering construction, operation maintenance and other reasons, and the intelligent degree is not high in the aspects of position change and re-identification.

Disclosure of Invention

The embodiment of the invention provides a communication base station asset management system, which is difficult in information tracing and low in intelligent degree under the condition that a plurality of processes of a plurality of production chains of a plurality of departments of a plurality of factories are often involved in the communication industry in the prior art, and generally, the system only depends on manual checking or local processes.

In order to solve the problems, the embodiment of the invention adopts the following technical scheme:

the embodiment of the invention provides a communication base station asset management system, which comprises: the system comprises a sensing device, a processing device, terminal equipment and at least two asset equipment in a communication base station, wherein the sensing device is in communication connection with the processing device through a network, and the processing device is in communication connection with the terminal equipment;

the sensing device is used for acquiring asset data of the asset equipment, the asset data comprises at least one of warehouse-in and warehouse-out information, upper station information, maintenance information, allocation information, scrapping information and positioning information, the sensing device is also used for transmitting the asset data to the processing device, the processing device is used for generating maintenance information corresponding to the asset equipment based on the asset data, and the processing device is also used for transmitting the maintenance information to the terminal equipment.

Optionally, the sensing device includes at least two radio frequency identification RFID tags and an RFID gateway, the at least two RFID tags are in communication connection with the RFID gateway, the at least two asset devices are in one-to-one correspondence with the at least two RFID tags, the corresponding RFID tags are adhered to the asset devices, the RFID gateway is used for acquiring asset data of the corresponding asset devices based on the RFID tags, and the asset data includes at least one of in-out and in-storage information, on-station information, maintenance information, transfer information, scrapping information and positioning information.

Optionally, the processing device comprises a data storage module, a basic data module, a big data analysis module and an artificial intelligence processing module;

the data storage module is used for storing the asset data, the basic data module is used for storing basic data of the system, the basic data comprises business data, public data, system parameters and equipment parameters, the big data analysis module is used for analyzing based on the asset data to obtain state information, the state information is used for representing the working state of the asset equipment, and the artificial intelligence processing module is used for carrying out artificial intelligence analysis based on the state information to obtain the maintenance information.

Optionally, the processing device includes an asset management module, where the asset management module is configured to generate working information of the asset device, where the working information includes at least one of warehouse in and warehouse out information, boarding information, maintenance information, allocation information, scrapping information, and positioning information of the asset device.

Optionally, the processing device includes an anomaly information module, and when the anomaly information module receives the target anomaly information, the anomaly analysis is performed on the target anomaly information to obtain an analysis result, where the target anomaly information is the anomaly information sent by the RFID tag, and the analysis result is used to indicate an anomaly type of the target asset device.

Optionally, the target abnormal information includes a station-up error alarm information, a loss alarm information, a demolition alarm information, a low-power alarm information and a power outage and disconnection alarm information, where the station-up error alarm information is used for representing that the asset equipment sends a station-up error, the loss alarm information is used for representing that an RFID tag corresponding to the asset equipment is destroyed or unbinding, the demolition alarm information is used for representing that the RFID tag corresponding to the asset equipment is demolished illegally, the low-power alarm information is used for representing that the power of the RFID tag corresponding to the asset equipment is lower than a preset power, and the power outage and disconnection alarm information is used for representing that the base station is in a power outage or disconnection state.

Optionally, the processing device includes a deep neural network module, the deep neural network module is configured to predict a lifetime and a failure rate of the asset device based on the asset data, the deep neural network module includes a first model, a second model, and a fusion layer, an output end of the first model is connected with the fusion layer, an output end of the second model is connected with the fusion layer, the first model and the second model are configured to capture key factor features in a time period from normal operation to failure of the communication asset, the first model captures a first feature, the second model captures a second feature, the first feature and the second feature are different, the fusion layer performs feature fusion based on the first feature and the second feature, obtains a third feature, and predicts based on the third feature, and obtains the lifetime and the failure rate of the asset device.

Optionally, the first model is a convolutional neural network CNN model, and the second model is a long-term memory LSTM model.

Optionally, the artificial intelligence processing module comprises a digital twin module, and the digital twin module is used for carrying out three-dimensional modeling on the asset equipment to obtain three-dimensional model data of the asset equipment.

Optionally, the digital twin module is configured to perform three-dimensional modeling on an asset device to obtain three-dimensional model data of the asset device, and includes:

and carrying out three-dimensional modeling on the asset equipment based on the three-dimensional visual rendering platform and the three-dimensional model data to obtain the three-dimensional model data of the asset equipment.

In the embodiment of the invention, the asset management system of the communication base station can acquire and process the asset data of the asset equipment in the communication base station through the sensing device, the processing device and the terminal equipment, thereby realizing the automatic management of the whole processes of order sending, production, transportation, receiving, engineering installation, warehousing, resource allocation, maintenance, scrapping and the like of the asset equipment, and further improving the accuracy and efficiency of asset management.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments of the present invention will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort to a person of ordinary skill in the art.

FIG. 1 is a schematic diagram of a communication base station asset management system according to an embodiment of the present invention;

FIG. 2 is a schematic diagram of an RFID tag according to an embodiment of the present invention;

fig. 3 is a schematic structural diagram of an RFID gateway according to an embodiment of the present invention;

FIG. 4 is a schematic diagram of an anomaly information management module according to an embodiment of the present invention;

FIG. 5 is a schematic diagram of anomaly information provided by an embodiment of the present invention;

FIG. 6 is a diagram illustrating a second embodiment of anomaly information;

FIG. 7 is a schematic diagram of a station-up error alert provided by an embodiment of the present invention;

FIG. 8 is a schematic diagram of a removal alert provided by an embodiment of the present invention;

FIG. 9 is a schematic diagram of a loss alert provided by an embodiment of the present invention;

FIG. 10 is a schematic diagram of a low battery alert provided by an embodiment of the present invention;

FIG. 11 is a schematic diagram of a power outage warning provided by an embodiment of the present invention;

FIG. 12 is a schematic diagram of lifetime information of an asset device provided by an embodiment of the invention;

FIG. 13 is a schematic diagram of fault information for an asset device provided by an embodiment of the present invention;

FIG. 14 is a schematic diagram of a hybrid deep neural network model provided by an embodiment of the present invention;

FIG. 15 is a schematic view of a three-dimensional model provided by an embodiment of the present invention;

FIG. 16 is a schematic diagram of functional modules of a communication base station asset management system according to an embodiment of the present invention;

FIG. 17 is a schematic diagram of role management in a system management module according to an embodiment of the present invention;

FIG. 18 is a schematic diagram of menu management in a system management module according to an embodiment of the present invention;

FIG. 19 is a schematic diagram of a middle door management of a system management module according to an embodiment of the present invention;

FIG. 20 is a schematic diagram of base station asset information in an asset management module according to an embodiment of the present invention;

FIG. 21 is a second schematic diagram of base station asset information in an asset management module according to an embodiment of the present invention;

FIG. 22 is a schematic diagram of an asset inventory in an asset management module according to an embodiment of the present invention;

FIG. 23 is a schematic diagram of a patrol result in a patrol management module according to an embodiment of the present invention;

fig. 24 is a schematic diagram of a patrol result in a patrol management module according to an embodiment of the present invention.

Detailed Description

For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

Unless defined otherwise, technical or scientific terms used herein should be given the ordinary meaning as understood by one of ordinary skill in the art to which this invention belongs. The terms "first," "second," and the like, as used herein, do not denote any order, quantity, or importance, but rather are used to distinguish one element from another. "upper", "lower", "left", "right", etc. are used merely to indicate a relative positional relationship, which changes accordingly when the absolute position of the object to be described changes.

The embodiment of the invention provides a communication base station asset management system, and fig. 1 is a schematic structural diagram of the communication base station asset management system provided by the embodiment of the invention, as shown in fig. 1, the system comprises a sensing device, a processing device, terminal equipment and at least two asset equipment in a communication base station, wherein the sensing device is in communication connection with the processing device through a network, and the processing device is in communication connection with the terminal equipment;

Specifically, the sensing device may be a device for completing real-time acquisition of asset data in the communication base station, the processing device may be a device for processing and analyzing the asset data, the terminal device may be a device developed by adopting JAVA technology, and integrated with a related function module of asset resource internet of things management of the communication base station, for example, real-time online monitoring of assets, anti-loss management of assets, abnormal management of assets, big data application, AI algorithm application, etc., and providing a secondary development interface, so as to be compatible with and access other production service systems, the network may be 2.4GHz transmission, RS 485/ethernet, a mobile cellular network and an FSU private network, for example, an RFID low-power active tag adopts an ISO/IEC18000-4 transmission protocol, and performs real-time interaction and communication with an RFID intelligent gateway through a 2.4GHz frequency band; the RFID intelligent gateway supports interaction with the data service center through the RS 485/Ethernet, and uploads base station asset data acquired by the sensing layer in real time; the RFID intelligent gateway supports interaction with a data service center through a mobile cellular network (2G/3G/4G), and base station asset data collected by a sensing layer are uploaded in real time; the RFID intelligent gateway supports an FSU system in the access base station, and uploads data acquired by the sensing layer through an FSU special network.

In the embodiment of the invention, the asset management system of the communication base station can acquire and process the asset data of the asset equipment in the communication base station through the sensing device, the processing device and the terminal equipment, thereby realizing the automatic management of the whole processes of order sending, production, transportation, receiving, engineering installation, warehousing, resource allocation, maintenance, scrapping and the like of the asset equipment, improving the accuracy of resource management, and reducing the labor cost brought by the asset checking and resource management of the decentralized base station.

Specifically, fig. 2 is a schematic structural diagram of an RFID tag provided by the embodiment of the present invention, as shown in fig. 2, the RFID tag may be a low-power active tag, a button battery is built in the tag, and is internally and directly powered, so that asset information can be directly uploaded, and through a special communication protocol of the tag and the characteristic of actively uploading information, the tag has a strong anti-interference capability, can bypass shielding of a human body and metal, is suitable for a scene with a severe electromagnetic environment and a more metal asset of a base station, has low power consumption and lasting endurance, is sustainable and stable to use, and when the electric quantity of the tag is lower than a set low-electric quantity threshold value, the tag actively uploads low-electric quantity alarm information, so as to facilitate timely replacement of the battery, and also has a physical anti-disassembly alarm function, and when the tag is destroyed or removed, information is automatically uploaded, so that quick alarm of base station asset loss is realized.

Fig. 3 is a schematic structural diagram of an RFID gateway provided by the embodiment of the present invention, as shown in fig. 3, where the RFID gateway includes a lower shell 301, a main board 302, an upper shell 303, a lamp panel 304, a light guide ring 305, a light shielding film 306, and a top cover 307, and the RFID gateway supports multiple installation modes such as wall hanging and ceiling hanging, is suitable for different types of base station installation environments, supports AC220V, DC V1A and POE power supply modes, is suitable for different power supply environments of a base station site, supports RS485, ethernet, and 4G communication, is suitable for different communication network environments of the base station site, and when the base station fails or breaks, the gateway can upload alarm information, so as to facilitate timely processing of the base station failure or break condition, and ensure that the base station is put into service as soon as possible. After the RFID low-power consumption active tag is bound with the asset of the base station, real-time acquisition of tag data is carried out through an RFID intelligent gateway, information related to the asset is acquired, including in-out and in-storage information, on-station information, maintenance information, allocation information, scrapped information, positioning information and the like, the information is uploaded in real time through the RFID gateway, and the RFID gateway can be used for acquiring the RFID active tag information in the base station and communicating with an upper system to support various transmission modes.

In the embodiment of the invention, the communication base station asset management system can identify at least two asset devices in the communication base station through the at least two RFID tags and acquire asset data through the RFID gateway, so that all flow information of the asset devices can be acquired in real time and uploaded to the system for monitoring.

Specifically, the data storage module is mainly used for storing related data automatically acquired by the RFID tag in the sensing layer, and can adopt a Redis data caching service technology, a PostgreSQL database, a RubbisMQ message queue technology and a Hadoop data processing technology to realize base station big data storage, wherein the storage performance of the data storage module is superior to that of main stream mysql, sqlServer and the like by adopting the PostgreSQL relational database; the message queue is essentially a message middleware, has temporary storage and circulation functions of messages, can unify the communication mode and data flow peak clipping among various service systems, reduces the pressure of a database, and prevents avalanche effect; the cache service stores data which are frequently accessed and do not involve complex transaction processing in the cache, so that IO pressure of a database is reduced, and the speed and reliability of the system are improved; the Hadoop data processing technology mainly comprises a Hadoop big data storage engine, is used for storing valuable data in the running process of a platform, provides a basis for big data calculation and processing, has very large data capacity, and has complex and various data formats;

The basic data module is used for processing message circulation inside and outside the system, business data among all center services are required to be managed by the basic data center, and meanwhile, the basic data module is responsible for storing public data of all services and storing and issuing system parameters;

the big data analysis module is used for collecting base station operation and maintenance data, asset data and operation logs of the whole system and data generated by each service module, cleaning all the data, storing the data, providing data visualization and capability of characteristic gaps, and providing the most important training data for the artificial intelligent processing center;

the artificial intelligence processing module is used for providing various artificial intelligence capabilities for the platform according to the mass data cleaned and processed by the big data analysis module, including machine learning, fault prediction, equipment life prediction, digital twinning and intelligent decision making, and providing intelligent processing capability for terminal equipment management software.

In the embodiment of the invention, the communication base station asset management system can process and analyze the asset data through the data storage module, the basic data module, the big data analysis module and the artificial intelligent processing module respectively, so that the communication base station asset management system can trace the whole process of asset use, realize data check and remote automatic check.

Specifically, the asset management module can be used for maintaining base station resource asset information, supporting multidimensional retrieval, information change, RFID label binding/unbinding, map mode positioning and the like of all-city base station asset information, dynamically updating the resource asset information by setting a sensor acquisition/reporting time limit, mastering asset in-place conditions, abnormal conditions, lost conditions and the like in real time, and providing mass data sources for functions of data analysis, processing, intelligent decision, digital twinning and the like.

In the embodiment of the invention, the communication base station asset management system can check all working information of the assets through the asset management module, including warehouse-in and warehouse-out information, on-site information, maintenance information, transfer information, scrapping information, positioning information and the like, and can check corresponding labels, binding states, asset states and the like of each asset, so that the communication base station asset management system is convenient for macroscopically knowing asset states and carrying out overall management on the assets.

Specifically, the abnormal information can be warning information actively reported by the RFID tag, the RFID low-power active tag has a physical anti-disassembly function, warning information can be actively reported when the tag is damaged, illegally unbundled and illegally dismantled, and the abnormal information module judges the current abnormal reason after receiving the warning information.

In the embodiment of the invention, the communication base station asset management system can monitor the abnormal state of the asset equipment corresponding to the abnormal information by performing the abnormal analysis on the warning information actively reported by the RFID tag, so that the asset equipment can be maintained or replaced in time.

Specifically, fig. 4 is a schematic diagram of an anomaly information management module provided by the embodiment of the present invention, as shown in fig. 4, where the anomaly information module includes a boarding error alarm, a loss alarm, a demolition alarm, and a low battery alarm, fig. 5 and fig. 6 are schematic diagrams of anomaly information provided by the embodiment of the present invention, as shown in fig. 5 and fig. 6, where the anomaly information can display anomaly content through a red-marked address or a text popup window, and fig. 7 is a schematic diagram of a boarding error alarm provided by the embodiment of the present invention, as shown in fig. 7, where the anomaly information module can perform comprehensive business analysis according to RFID information and asset information collected in real time, timely inform a system manager when a boarding error occurs on an asset labeled with an RFID tag, and provide a boarding error analysis function to accurately inform current equipment of correct boarding site information, project information, engineering information, etc.; fig. 8 is a schematic diagram of a demolition alarm provided by an embodiment of the present invention, and fig. 9 is a schematic diagram of a loss alarm provided by an embodiment of the present invention, where, as shown in fig. 8 and fig. 9, when an RFID tag is demolished illegally or lost, abnormal information is automatically reported, and a data analysis center performs comprehensive business analysis, gives an abnormal cause and notifies a relevant management responsible person; FIG. 10 is a schematic diagram of a low power alarm provided in an embodiment of the present invention, as shown in FIG. 10, when the power of the RFID tag is lower than the preset power, the RFID tag automatically reports alarm information, and the data analysis center performs comprehensive business analysis to give an abnormal reason and notify relevant management responsibilities; fig. 11 is a schematic diagram of a power outage network disconnection alarm provided in an embodiment of the present invention, as shown in fig. 11, when a base station is powered off or disconnected abnormally, an RFID intelligent gateway stops operating, automatically identifies whether abnormality occurs in the background, analyzes whether the network disconnection or the power outage occurs according to abnormal message information, finally forms an alarm notification related management responsible person, provides a push-to-send function, reports station site GIS information, asset information, abnormal information, abnormality reasons, etc., reminds related maintenance personnel to go to the station for troubleshooting, and returns a work order after troubleshooting the problem by a field mobile operation terminal to complete a management closed loop.

In the embodiment of the invention, the communication base station asset management system can avoid the condition that account books are inconsistent with assets and the assets are lost due to the use confusion of the assets, effectively solve the problems of difficult discovery, slow tracing and unclear responsibility of the assets, save management cost, and timely check abnormal problems, and improve management efficiency.

Specifically, fig. 12 is a schematic diagram of life information of an asset device provided in an embodiment of the present invention, as shown in fig. 12, where the life of the asset device may be the life of each device in the base station predicted by an artificial intelligence algorithm, including operation maintenance cost, depreciation cost, accident risk cost, overhaul cost, and remaining economic life, etc., and fig. 13 is a schematic diagram of fault information of the asset device provided in an embodiment of the present invention, as shown in fig. 13, where the fault information may be fault recording and diagnosing of the asset in the base station, including fault feature description, fault location, occurrence time, commissioning time, etc., and provides sufficient algorithm data for predicting the fault rate.

In the embodiment of the invention, the communication base station asset management system forms a deep neural network model through two models to predict equipment withdrawal and faults, so that equipment which needs to be replaced can be prepared before the service life expiration time of the asset equipment, backlog or no goods of warehouse equipment are avoided, and the capital investment plan of related equipment is helped to be determined, so that the management efficiency of base station assets is higher.

Specifically, fig. 14 is a schematic diagram of a hybrid deep neural network model provided by an embodiment of the present invention, and as shown in fig. 14, data collection may be to collect knowledge of equipment faults already grasped, dynamic characteristic data monitoring of states during operation, historical operation data of equipment, and other features; the data preprocessing can be to transmit the acquired data to a back-end system for denoising, sampling filtering, standardization and other operations; the feature extraction can be to extract the corresponding singular feature, irregular feature, invariance feature and the like of the processed data; the LSTM training and outputting can be to the extracted characteristics, according to the corresponding risk mode, carry on LSTM training, and output LSTM predictive result, if there is sign, analyze the internal relation of the system to confirm the influence factor and fault type; if no fault sign exists, the residual service life is predicted according to the existing characteristic index of the equipment, along with the increase of the inspection time, the sample data is continuously accumulated, the real data distribution is more similar, meanwhile, the model continuously iterates in the new data, and the prediction accuracy is improved.

The convolutional neural network CNN model is a feedforward neural network layer containing convolutional calculation and having a depth structure, and has the characteristics of local connection and weight sharing, so that the computational complexity can be reduced, the computational and reasoning efficiency can be improved, the data characteristics can be effectively grasped, the internal convolutional operation in the convolutional layer is actually matrix multiplication operation between a convolutional kernel and data, and the calculation formula is as follows:

Z ^(l+1) ＝w ⁽¹⁾ x ^(l) +b ^(l)

x ^(l+1) ＝f(Z ^(l+1) )

Wherein x is ^(l) Representing the input of the convolution layer and the output of the last convolution layer, w ^(l) Represents convolution kernel weights, b ^(l) Represents the offset value, f (Z ^(l+1) ) Representing an activate function operation.

The LSTM model is a special RNN, can solve the problems of gradient elimination and gradient explosion in the long sequence training process, and is additionally provided with a forgetting gate and a memory gate in an internal structure to control information transmission, screen information transmitted by a front-end sequence and selectively memorize and forget.

In the embodiment of the invention, the communication base station asset management system can effectively extract key factor characteristics of the whole period from normal operation to problem failure of equipment by adopting the LSTM model, help the model to make accurate decisions, construct a parallel characteristic extraction network aiming at the out-of-service prediction and failure rate prediction tasks, and perform characteristic fusion on the characteristics extracted by the two models at the tail end by constructing the CNN model and the LSTM model, thereby improving the accuracy of the model in out-of-service prediction and failure rate prediction of the equipment.

Specifically, the three-dimensional model data of the asset equipment can be virtual-real accurate mapping which is very similar to a physical base station in a physical entity space in terms of shape, state, running state, working mode and development rule, in the digital virtual space, a planner can continuously adjust positions in a virtual scene to carry out simulated layout to realize base station site selection and land planning, even the simulation range can be expanded, the simulated planning and operation of regional base stations can be realized to explore the optimal construction layout, and simulation analysis can be carried out on the conditions of signal coverage area, overlapping area, signal uncovering and the like of the base stations by combining machine learning, so that theoretical basis is provided for optimizing the base station site selection layout.

In the embodiment of the invention, the communication base station asset management system can digitize the assets and resources of the base station through the digital twin module, completely map the real-world base station to the digital world, convert the entity base station into a digital base station, and can perform analog configuration on the base station to help determine the optimal configuration of each module in the entity base station, thereby improving the management efficiency of the base station.

Specifically, as shown in fig. 15, fig. 15 is a schematic diagram of a three-dimensional model provided by the embodiment of the present invention, where the three-dimensional model data may include OBJ, FBX, GLB, GLTF, DAE, STL, rendering and modeling a three-dimensional model on a base station micro-building and a communication device, implementing conversion from a physical world to a digital world, finally establishing a virtual scene for base station resource asset management, tracking and positioning an asset by combining an active RFID low-power active tag, and monitoring the whole network asset in real time and online.

In the embodiment of the invention, the asset management system of the communication base station can simulate and operate all equipment in the base station, including an oil engine, a storage battery, a switching power supply, an air conditioner and the like, can check equipment parameters, simulate equipment operation and even carry out limit test on the equipment, thereby completing management operation and maintenance work based on progressive functions such as digital twin description, diagnosis, prediction, decision and the like, and can timely find and process various faults in daily operation and maintenance, thereby optimizing the operation management mode of the communication base station and greatly improving the efficiency of operation and management.

Fig. 16 is a schematic diagram of a functional module of a communication base station asset management system provided by an embodiment of the present invention, as shown in fig. 16, where the communication base station asset management system includes 12 large functional modules, a system home page uses a map as a basic element, each base station is presented in an anchor point form on the map, so that all base station location information on the map including longitude and latitude, detailed addresses, etc. can be clearly checked, and meanwhile, basic information and detailed information of the base station including site names, site codes, base station asset data, asset update data, alarm data, etc. can be directly checked on the map, so that a user can conveniently, quickly and intuitively learn information of all base stations.

The system management module includes functions of user management, branch management, role management, log management, organization architecture management and the like, the user management is used for maintaining system user information, including new addition, deletion, modification, inquiry and the like of the user information, fig. 17 is a schematic diagram of role management in the system management module, as shown in fig. 17, the role management is used for maintaining authority information of different roles for users, including a system administrator, a system monitor and the like, and meanwhile, different authority information of different roles can be given; FIG. 18 is a schematic diagram of menu management in a system management module according to an embodiment of the present invention, where, as shown in FIG. 18, the menu management is used to maintain a function list of a platform, and has functions of adding, deleting, etc.; fig. 19 is a schematic diagram of middle door management in a system management module according to an embodiment of the present invention, where, as shown in fig. 19, department management is used to maintain platform user department information, and has functions of addition, deletion, and the like.

The basic management module comprises asset classification, asset attribute, manufacturer management, coding management, type management and place management, wherein the asset classification is used for classifying assets in the base station and comprises air conditioning classes, storage batteries, dynamic ring equipment classes, switch power supply cabinets and the like; the asset attributes are used for dividing asset states, including transferring assets, not transferring assets and the like; vendor management is used to manage asset suppliers within the base station; the code management is used for interfacing the existing code system of the iron tower company and unifying the identification analysis system; the type management is used for managing the types of different base stations, including macro stations, integrated cabinets and the like; the location management is used for managing the position information of the base station, including latitude and longitude information, detailed position information and the like.

The agent maintenance management module is used for managing a third party company for maintaining a base station, and comprises agent maintenance companies, agent maintenance personnel, training management and responsibility management, wherein the agent maintenance companies are used for managing different agent maintenance companies, including management of engineering teams and the like, managing the engineering teams, taking out a warehouse from an asset and installing the engineering teams to an upper station of the asset, and the process is related to the engineering teams and is an important link of the whole life cycle management of the asset; the maintenance personnel are used for managing the maintenance personnel below the engineering team; the training management is used for carrying out operation training operation on the maintenance personnel and recording the training results and grades of the maintenance personnel; responsibility management is used to trace back to the relevant responsible person based on the associated information when a problem is found.

The base station information management module is used for managing and maintaining all-city base station information, comprises the functions of station address information, station address GIS information, station address state, asset quantity, asset state, affiliated responsibility units, asset visual statistics, base station positioning inquiry and the like, comprises station address numbers, base station names, base station addresses, longitude and latitude information, base station state, affiliated units, responsibility people, update records and the like, and comprises gateway management functions for setting and maintaining gateway information in a base station, monitoring the gateway running state in real time and ensuring the running reliability and stability of a system.

The asset management module is used for maintaining base station resource asset information, fig. 20 and fig. 21 are schematic diagrams of base station asset information in the asset management module provided by the embodiment of the invention, and as shown in fig. 20 and fig. 21, the asset management module supports multidimensional searching, information changing, RFID tag binding/unbinding, map mode positioning and the like of all-city base station asset information, and simultaneously manages the RFID intelligent gateway to count base station assets, wherein the counting comprises automatic counting and real-time counting functions: the user can define the checking period in the platform, the module automatically sends a checking instruction according to the setting of the checking period, the sensing equipment is driven to operate, related information such as asset information, asset quantity, in-place condition, abnormal condition, losing condition and the like in the base station is collected in real time, the module provides a data interface and realizes data communication with other business systems of an iron tower company, the effectiveness of data of each business system is comprehensively improved, the resource asset utilization rate is improved, and the national risk of asset loss is reduced; fig. 22 is a schematic diagram of asset inventory in an asset management module according to an embodiment of the present invention, where, as shown in fig. 22, a user may operate asset inventory on a platform in real time, and the platform will control a base station field RFID intelligent gateway in real time to perform real-time inventory on assets in a base station. And asset state is rapidly confirmed by collecting asset data in the base station in real time, so that the reality and accuracy of the data are ensured.

The inspection management module is used for managing the on-site operation of the maintenance personnel, including inspection operation content, inspection data management, inspection personnel management, inspection history record inquiry and the like, and fig. 23 and fig. 24 are schematic diagrams of inspection results in the inspection management module provided by the embodiment of the invention, and as shown in fig. 23 and fig. 24, a user can check the inspection results and fault level on a platform and can check defect processing states.

The abnormal information management module comprises a station-up error alarm, a loss alarm, a dismantling alarm, a low-power alarm, a power failure and network disconnection alarm.

The information tracing module comprises an information tracing function, including full life cycle management, supply chain management and production link tracing; the full life cycle management is used for storing and recording full life cycle data of the asset, is convenient for later information tracing, and comprises full life cycle flow management such as order sending, production, transportation, leading, engineering installation, warehousing, resource allocation, maintenance, scrapping and the like; the supply chain management is used for managing the whole supply chain information of the assets in the base station and providing basis for supply chain information tracing in the later stage; the production link is traced back to be used for managing the production link of the base station asset on the upper station, and all data of the production link of the asset in the base station are recorded.

The responsibility management module comprises management responsibility, maintenance responsibility, equipment responsibility and the like, any related data information can be traced through the data recording and analysis functions of the platform, when an accident happens, the tiger of the maintenance personnel is lost, the equipment is failed or the base station stops taking service, the life and property loss of people is caused, the system can trace back the whole flow data of the accident, the weight is clear, the responsibility is clear, and when the responsibility problem occurs, the management responsibility, the maintenance responsibility and the equipment responsibility can be traced back by combining a big data analysis algorithm according to the problem type classification and the key data.

The big data module comprises intelligent attendance checking, decision support, database management and the like, and asset related data are converted into regular and analyzable data through data acquisition, analysis, association, modeling and the like. In big data analysis, critical data include inspection quality: whether the equipment is abnormal or not is found in time; rush repair speed: whether the equipment is faulty or the base station is powered off or not; quality of management of the upper station equipment: whether the upper station equipment is consistent with the backup reporting equipment; asset loss: asset loss data for each zone and branch; equipment life: whether the equipment is abnormal or not is found in time; failure rate of equipment: whether the equipment is faulty or the base station is powered off or not; and then corresponding evaluation is carried out on the agent-dimension company, agent-dimension personnel, base station responsible person, supplier, equipment, inspection operation and the like. The intelligent checking is used for carrying out overall analysis on big data through relevant data recorded by the platform, including inspection quality, rush repair speed, on-site equipment management quality, asset loss, equipment life, equipment failure rate, annual maintenance cost and the like, and can realize an intelligent attendance checking mechanism by combining a corresponding evaluation mechanism so as to provide data basis for evaluating high-quality service units and personnel every year. The decision support is used for assisting in decision selection of base station responsible persons, suppliers, equipment, optimizing inspection operation, improving inspection management efficiency and the like from the management perspective. When data is accumulated to a certain degree, decision rights can even be given to the data.

The mixed deep neural network model application module is used for building a mixed deep neural network model so as to improve the accuracy of equipment out-of-service prediction and failure rate prediction by the model and assist management personnel in making management decisions.

In the several embodiments provided by the present invention, it should be understood that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.

The embodiments of the present invention have been described above with reference to the accompanying drawings, but the present invention is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and those skilled in the art, having the benefit of this disclosure, may make several improvements and modifications without departing from the principles of the invention described herein, and the improvements and modifications are also considered within the scope of the invention.

Claims

1. A communication base station asset management system, the system comprising: the system comprises a sensing device, a processing device, terminal equipment and at least two asset equipment in a communication base station, wherein the sensing device is in communication connection with the processing device through a network, and the processing device is in communication connection with the terminal equipment;

2. The system of claim 1, wherein the sensing device comprises at least two radio frequency identification RFID tags and an RFID gateway, the at least two RFID tags are in communication connection with the RFID gateway, the at least two asset devices are respectively in one-to-one correspondence with the at least two RFID tags, the corresponding RFID tags are attached to the asset devices, the RFID gateway is configured to obtain asset data of the corresponding asset devices based on the RFID tags, and the asset data includes at least one of in-out and in-storage information, up-station information, maintenance information, allocation information, scrapping information and positioning information.

3. The system of claim 1, wherein the processing device comprises a data storage module, a base data module, a big data analysis module, and an artificial intelligence processing module;

4. The system of claim 1, wherein the processing means comprises an asset management module for generating operational information for the asset device, the operational information comprising at least one of warehouse in and out information, up information, maintenance information, deployment information, discard information, and location information for the asset device.

5. The system according to claim 2, wherein the processing device includes an anomaly information module, and when the anomaly information module receives the target anomaly information, the anomaly information module performs anomaly analysis on the target anomaly information to obtain an analysis result, where the target anomaly information is anomaly information sent by the RFID tag, and the analysis result is used to indicate an anomaly type of the target asset device.

6. The system of claim 5, wherein the target anomaly information includes a get-on error alert information, a lost alert information, a tear-down alert information, a low-power alert information, and a power outage off-grid alert information, the get-on error alert information being used to characterize the asset device sending a get-on error, the lost alert information being used to characterize the RFID tag corresponding to the asset device being destroyed or unbundled, the tear-down alert information being used to characterize the RFID tag corresponding to the asset device being illegally torn down, the low-power alert information being used to characterize the power of the RFID tag corresponding to the asset device being lower than a preset power, the power outage off-grid alert information being used to characterize the base station being in a powered off or off-grid state.

7. The system of claim 1, wherein the processing device comprises a deep neural network module configured to predict a lifetime and a failure rate of the asset device based on the asset data, the deep neural network module comprising a first model, a second model, and a fusion layer, an output of the first model being connected to the fusion layer, an output of the second model being connected to the fusion layer, the first model and the second model being configured to capture key factor features of the communication asset during a time period from normal operation to failure, the first model capturing a first feature, the second model capturing a second feature, and the first feature and the second feature being different, the fusion layer performing feature fusion based on the first feature and the second feature, resulting in a third feature, and predicting based on the third feature, resulting in a lifetime and a failure rate of the asset device.

8. The system of claim 7, wherein the first model is a convolutional neural network CNN model and the second model is a long-term memory LSTM model.

9. The system of claim 3, wherein the artificial intelligence processing module comprises a digital twinning module for three-dimensional modeling of an asset device to obtain three-dimensional model data of the asset device.

10. The system of claim 9, wherein the digital twinning module is configured to model the asset device in three dimensions to obtain three-dimensional model data of the asset device, comprising: