A network device process dimension processing method, device and equipment

Abstract

The application discloses a network equipment process dimension processing method, device and equipment, and the method comprises the steps of obtaining a photo of at least one network equipment collected according to a preset collection template; performing pre-audit processing on the photo to obtain a pre-audit processing result; if the pre-audit processing result is passed, performing on-site process dimension processing flow of the at least one network equipment to obtain a processing result of the on-site process dimension processing flow. Through the above method, the application realizes full-process electronicization of network equipment process dimension, and pre-audit is performed before process dimension, so that the process dimension efficiency is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of wireless network equipment operation and maintenance, and in particular to a network equipment process handover processing method, device and equipment. BACKGROUND

[0002] Network stability has always been the focus of the communication industry for a long time, and 5G network as a key new type of infrastructure supporting the digitalization, networking and intelligentization transformation of the economy and society will play an increasingly important role. With the gradual large-scale access of 5G base stations, network stability will also face more severe challenges. Base station construction is a project with long work cycle and high comprehensive level across professions, and the quality of each construction link will affect the network stability after the final base station is put into operation. The base station process handover, as the last check before the network is formally put into operation after the base station construction, gradually shows an increasingly important role and position.

[0003] The current 5G base station process handover has two links, online and offline. The online is mainly based on the initiation and submission on the RMC integrated management system, and the offline is the organization communication, manual registration and tracking between the parties involved in the process handover. The main process is that the RMC integrated management system initiates online, organizes the on-site process handover offline, registers the problems by email or paper registration form, contacts the rectification by photographing, organizes the second handover again by email or telephone after the rectification is completed, and finally submits online on the RMC integrated management system. The main body of 5G process handover is implemented offline.

[0004] The offline link of the existing 5G process handover method does not have a clear link process; the offline process handover has many paper projects, which are complex and not focused, and the process handover projects used in the 4G scene are not completely adapted to the current 5G; the process handover involves scattered data that is not archived, and the problem needs to be traced back and reviewed many times on site. The existing process handover method cannot meet the requirements of 5G large-scale and tight construction period to ensure the efficient and high-quality access of 5G sites. SUMMARY

[0005] In view of the above problems, the present application is proposed to provide a network equipment process handover processing method, device and equipment which can overcome the above problems or at least partially solve the above problems

[0006] According to an aspect of an embodiment of the present application, a network equipment process handover processing method is provided, which comprises:

[0007] acquiring a photo of at least one network equipment collected according to a preset collection template;

[0008] performing pre-audit processing on the photo to obtain a pre-audit processing result;

[0009] If the pre-audit processing result is passed, a field maintenance processing flow of the at least one network device is performed to obtain a processing result of the field maintenance processing flow.

[0010] According to another aspect of the embodiment of the present application, a network device maintenance processing device is provided, which comprises:

[0011] The acquisition module is configured to acquire a photo of the at least one network device collected according to a preset collection template.

[0012] The processing module is configured to perform pre-audit processing on the photo to obtain a pre-audit processing result, and if the pre-audit processing result is passed, perform a field maintenance processing flow of the at least one network device to obtain a processing result of the field maintenance processing flow.

[0013] According to still another aspect of the embodiment of the present application, a computing device is provided, which comprises a processor, a memory, a communication interface and a communication bus, the processor, the memory and the communication interface complete communication with each other through the communication bus.

[0014] The memory is configured to store at least one executable instruction, and the executable instruction causes the processor to perform operations corresponding to the network device maintenance processing method.

[0015] According to still another aspect of the embodiment of the present application, a computer storage medium is provided, which stores at least one executable instruction, and the executable instruction causes the processor to perform operations corresponding to the network device maintenance processing method.

[0016] According to the above-mentioned embodiments of the present application, the photo of the at least one network device collected according to the preset collection template is acquired, the pre-audit processing is performed on the photo to obtain the pre-audit processing result, and if the pre-audit processing result is passed, the field maintenance processing flow of the at least one network device is performed to obtain the processing result of the field maintenance processing flow, thereby improving the overall efficiency and quality of the maintenance and reducing the maintenance time and cost.

[0017] The above description is only a summary of the technical solutions of the embodiments of the present application, in order to more clearly understand the technical means of the embodiments of the present application, the embodiments of the present application can be implemented according to the content of the specification, and in order to make the above and other purposes, features and advantages of the embodiments of the present application more obvious and easy to understand, the following specific embodiments of the present application are described. BRIEF DESCRIPTION OF DRAWINGS

[0018] Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments with reference made to the accompanying drawings. The drawings are for purposes of illustration only and serve to build a better understanding of the embodiments of the present application, and are not intended to limit the scope of the embodiments of the present application. Moreover, each of the figures can not be to scale as some components have been simplified in order to emphasize related processing. Also, in the drawings:

[0019] Figure 1 A flow chart of a processing method of network equipment process handover provided by an embodiment of the present application is shown;

[0020] Figure 2 A flow chart of a processing method of network equipment process handover provided by another embodiment of the present application is shown;

[0021] Figure 3 A structural schematic diagram of a processing device of network equipment process handover provided by an embodiment of the present application is shown;

[0022] Figure 4 A structural schematic diagram of a computing device provided by an embodiment of the present application is shown. DETAILED DESCRIPTION

[0023] Exemplary embodiments of the present application will be described herein below with reference to the accompanying drawings. Although exemplary embodiments of the present application are shown in the drawings, it should be understood that the present application can be implemented in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided so that this application will be thoroughly and completely understood, and so that the scope of the present application will be complete and fully conveyed to those skilled in the art.

[0024] Figure 1 A flow chart of a processing method of network equipment process handover provided by an embodiment of the present application is shown. As shown in the figure, the method comprises the following steps: Figure 1

[0025] Step 11, obtaining a photo of at least one network equipment collected according to a preset collection template;

[0026] Step 12, performing pre-audit processing on the photo to obtain a pre-audit processing result;

[0027] Step 13, if the pre-audit processing result is passed, performing a live handover processing flow of the at least one network equipment to obtain a processing result of the live handover processing flow.

[0028] ​In the embodiment, according to the needs of the engineering acceptance standard, such as application scenarios, photographing angles, the number of photographs and the like, corresponding image collection templates can be classified and formulated, the at least one network device can include a BBU (baseband processing unit), an RRU (remote radio unit), an access control, a feeder window, a DCDU (mobile base station), an antenna and the like, and the network device is mainly used for establishing a 5G base station; the collection is performed on demand according to the preset collection template, unnecessary image collection is avoided, and the efficiency of the early-stage work is improved; the collected device photographs are uploaded to the system for pre-audit processing, the pre-audit link model architecture can be realized based on a target detection algorithm, CNN (convolutional network), RNN (recurrent neural network), LSTM (long short-term memory network) and the like can be used to identify and audit the collected photographs, and the result of the audit is subjected to a handover process, by performing pre-audit before handover, the handover work can be pre-positioned, the 5G site can be rectified and constructed simultaneously, and the overall efficiency of the handover is improved.

[0029] In an optional embodiment of the present application, the step 12 comprises:

[0030] In step 121, feature extraction is performed on the photograph according to the feature labeling, and a feature value of the photograph is obtained.

[0031] In step 122, the network device is clustered according to the feature value, and at least one type of network device is obtained.

[0032] In step 123, the at least one type of device is audited according to a preset standard model, and an audit processing result of whether the network device meets the preset standard model is obtained.

[0033] In the embodiment, the pre-audit can be realized by connecting an AI automatic identification technology, and a standard installation model is combined to preliminarily judge the installation problems of the device, such as whether the cable is flat and the label exists or not; CNN, RNN, LSTM and the like are used to identify the photograph, and the photograph is classified, key labels are added on the classified photograph, various models are established, feature extraction is performed on the photograph, a feature value of the photograph is obtained, the feature values are compared by a clustering method, such as a K-means method, at least one type of network device is obtained.

[0034] The at least one type of device is audited according to a preset standard model, that is, the photos of the same type of device are audited, the preset standard model can be formulated according to the final acceptance standard, and the preset standard model can include three modules: an EHS module, an indoor part and an outdoor part. According to different standards of the three modules, a plurality of preset items are audited and checked, such as collecting the information of the environment and the construction personnel at present, collecting the construction situation of the indoor machine room or cabinet part (such as BBU device installation, power supply introduction, cable laying, air conditioner and the like), collecting the construction situation of the outdoor part (such as device lightning protection grounding, GPS antenna, AAU (active antenna processing unit) side installation and the like), and the like. If the pre-audited device meets the standard requirements of the preset standard model, the obtained pre-audit processing result is passed, and if the pre-audited device does not meet the standard requirements of the preset standard model, the obtained pre-audit processing result is not passed. Before the handover, the pre-audit of the device is performed by collecting the photos, so that the installation of the device before the handover meets the installation requirements, the handover efficiency is improved, and unnecessary confirmation work in the subsequent maintenance process is reduced.

[0035] Further, the network devices are clustered according to the characteristic values to obtain at least one type of network device, including:

[0036] In step 1221, the characteristic distance between any two network devices is obtained according to the characteristic values.

[0037] In step 1222, if the characteristic distance is less than a preset distance threshold, the two network devices are classified as one type of network device, and at least one type of network device is obtained.

[0038] Here, the K-means algorithm can be used to cluster the network devices. The K-means algorithm is also called K-average or K-mean. Here, K is a constant. The algorithm iteratively clusters M samples without labels into K clusters. The distance between samples is often used as an indicator to divide the samples. The distance measurement described above uses the Euclidean distance.

[0039] In an optional embodiment of the present application, the above step 13 includes:

[0040] In step 131, the photos of the at least one network device collected on site are obtained.

[0041] In step 132, if the photos of the at least one network device represent that the network device meets the acceptance standard, the quality of the network device is audited. If the audit is passed, it is determined whether the acceptance is passed according to the acceptance standard. If the acceptance is passed, the processing result of the acceptance of the on-site handover processing flow is output.

[0042] When the pre-audit processing result is passed in the embodiment, on-site maintenance processing flow of the at least one network device is performed; when initiating maintenance, a check list under corresponding acceptance standards can be formulated according to different application scenarios of the network device, the on-site collected photos are audited according to the acceptance standards on the check list, and quality auditing and standard acceptance passing confirmation are sequentially performed; if the auditing is passed, the maintenance is ended; when the photos of the at least one network device do not conform to the acceptance standards or the quality auditing is not passed, problem feedback is performed, and the on-site network device is rectified, and after rectification, the acceptance standard auditing is performed again; meanwhile, in the process of maintenance acceptance, maintenance confirmation sheets, acceptance reports, rectification reports and the like generated by the background are statistically generated, and are centrally archived by relying on cloud sharing.

[0043] The quality auditing can be auditing on the on-site collected photos or checking on the rectification report; the check list corresponding to the acceptance standards can include different acceptance items, such as: asset management and optical tape (whether the number of wireless devices and the installation position are consistent with the design drawing), power supply introduction (whether the air conditioner refrigeration requirement is met, whether the power distribution device meets the capacity requirement), storage battery (whether the installation position and capacity meet the requirement), rectification module (whether it meets the design requirement), air conditioner (whether the installation is in place), transmission device power supply (whether the installation and wiring are standardized), device installation (whether the installation position is standardized and whether it meets the design requirement), analog quantity monitoring (function test checking is performed), hole plugging (whether it is tightly plugged), lightning protection grounding (whether it meets the requirement) and the like;

[0044] Through the acceptance standards, quality auditing, acceptance passing confirmation and the like, and through the log record, database connection, data arrangement and statistics of the mobile terminal and the webpage terminal, the hierarchical fine management of different network devices is implemented, and the front-end maintenance task assignment point-to-point automatic distribution is realized.

[0045] In an optional embodiment of the application, the step 11 includes:

[0046] In step 111, the photos of the at least one network device are collected according to a preset collection template in at least one of a distributed radio access network (D-RAN), a centralized radio access network (C-RAN) and indoor distribution, the preset collection template including at least one of: a first preset number of collection templates in the D-RAN scenario, a second preset number of collection templates in the C-RAN scenario and a third preset number of collection templates in the indoor distribution scenario.

[0047] In this embodiment, the image collection template can be formulated according to the network device in the distributed radio access network (D-RAN), the centralized radio access network (C-RAN), indoor distribution and other application scenarios. Of course, the application scenarios are not limited to D-RAN, C-RAN and indoor distribution. Different preset numbers of collection templates are used for collection, so that the obtained photos are more diversified, and the data processing is more accurate. The first preset number, the second preset number and the third preset number can be the same or different, and can be adjusted according to the final acceptance standard.

[0048] In an optional embodiment of the present application, the network device process dimension processing method further comprises:

[0049] Step 14, in the centralized radio access network (C-RAN) scenario, a first acceptance work order for accepting all first target network devices under the same resource pool site and a second acceptance work order for accepting a plurality of remote second target network devices are generated and issued.

[0050] Further, the above step 14 can include:

[0051] Step 141, according to the first acceptance work order, all first target network devices under the same resource pool site are accepted to obtain a first acceptance result;

[0052] Step 142, according to the second acceptance work order, a plurality of second target network devices are respectively accepted to obtain a plurality of second acceptance results;

[0053] Step 143, according to the first acceptance result and the plurality of second acceptance results, a network device acceptance result in the C-RAN scenario is obtained.

[0054] In this embodiment, in the centralized radio access network (C-RAN) scenario, the centralized radio access network (C-RAN) adopts a split dual dimension mode, that is, based on the characteristics of the C-RAN network, the source site is classified through planning data, and the acceptance work order is distributed according to the automatic distribution rules of the system. According to the same resource pool site determined by the system, the BBU side of the same resource pool site only needs to be on the site once, and the full amount of C-RAN site BBU acceptance is completed. The remaining sites only need to be remotely accepted, avoiding repeated on-site of the BBU side machine room, thereby simplifying the acceptance steps and reducing the acceptance cost.

[0055] Figure 2 A flowchart of a network device process dimension processing method provided by another embodiment of the present application is shown. As shown in Figure 2 The method comprises the following steps:

[0056] Step S1, for different 5G network acceptance standards such as distributed wireless access network D-RAN, centralized wireless access network C-RAN, indoor distribution, etc., and establish a classification photo collection model, and put down different detection and verification processes for D-RAN and C-RAN sites. (The front and back end systems are separated and packaged through smarty, realizing mobile phone and web page log recording, database connection, data arrangement and statistics, implementing 5G different type network equipment grading and fine management, realizing front-end exchange task assignment point-to-point automatic distribution.)

[0057] Step S2, according to the preset site installation quality inspection template, the on-site photo collection is carried out, and the collected equipment includes: BBU, RRU, access control, feeder window, DCDU, antenna, etc.

[0058] When collecting on-site photos, the effectiveness of construction photography needs to be collected and verified, specifically:

[0059] D-RAN site collection verification: based on the latitude and longitude of the base station in the RMC (Monte Carlo analysis program) working parameter and the on-site shooting latitude and longitude (within 50 meters).

[0060] C-RAN site collection verification: first determine the near-far end correspondence of C-RAN site; second, confirm the GPS collection latitude and longitude of the near end and the C-RAN site hanging base station (within 30 meters); the far end is based on the cell latitude and longitude in the RMC working parameter and the on-site shooting latitude and longitude (within 50 meters).

[0061] Step S3, upload the collected photos to the system, and the system uses the trained 5G base station model to pre-audit the collected photos.

[0062] Specifically, by connecting AI automatic identification technology, the equipment type in the photo is first identified, and the corresponding 5G base station model is pre-audited according to different equipment types, and the standard installation model is combined to preliminarily judge the installation problems of equipment, cable and machine room, etc., such as: cable with line flatness and label existence as the main judgment; the equipment with the collected label, installation space, board card as the main judgment; the machine room with access control, environmental equipment, feeder hole collection to the training capture unit as the main judgment.

[0063] Step S4, after the pre-audit passes, it enters the exchange initiation process, and then carries out on-site exchange. After the exchange is completed, set up a centralized archive portal of text and picture information, realize real-time cloud sharing of data; the text and picture information can specifically include: pre-audit report, design drawing, exchange confirmation sheet, rectification report, acceptance report, completion report, etc.

[0064] Further, based on 5G deep customization, C-RAN adopts a split dual exchange mode.

[0065] In the C-RAN centralized mode, the CU and the DU are both deployed in different sites, the AAU is pulled remotely on demand, the CU is deployed in the cloud, and the station building mode is quite different from the 4G base station. The traditional process handover mode cannot be completely adapted. Based on the characteristics of the C-RAN network, the source site classification is carried out through planning data, and the handover work order is distributed according to the automatic distribution rules of the system. The same resource pool is executed, and the BBU side of the same resource pool site only needs to be on the station once, to complete the acceptance of the lower hanging full C-RAN station BBU, and the remaining sites only need to be accepted remotely, avoiding the repeated on-site of the BBU side room.

[0066] The above embodiment is based on the whole process thinking to build a model, which realizes clear division of labor, clear responsibility and real-time monitoring of progress state by centralizing the offline links of process handover online, and visualizes the whole process link. Through the pre-audit of the handover sign, the quality control is carried out before the handover, and the handover efficiency is improved; the C-RAN split dual handover mode is innovated, which greatly applies to the handover of special sites involved in the centralized pool under the 5G network type, and reduces the repeated handover on-site labor cost.

[0067] Figure 3 The structure of the processing device for network equipment process handover provided by the embodiment of the application is shown. As shown in Figure 3 The device 30 includes:

[0068] The acquisition module 31 is configured to acquire a photo of at least one network equipment collected according to a preset collection template.

[0069] The processing module 32 is configured to perform pre-audit processing on the photo to obtain a pre-audit processing result, and perform a field handover processing flow of the at least one network equipment if the pre-audit processing result is passed, and obtain a processing result of the field handover processing flow.

[0070] Optionally, the processing module 32 is configured to perform pre-audit processing on the photo to obtain a pre-audit processing result, and perform pre-audit processing on the photo to obtain a pre-audit processing result.

[0071] According to the feature annotation in the photo, the feature extraction is performed on the photo to obtain a feature value of the photo.

[0072] According to the feature value, the network equipment is clustered to obtain at least one type of network equipment.

[0073] According to a preset standard model, the at least one type of equipment is audited to obtain an audit processing result of whether the network equipment meets the preset standard model.

[0074] Optionally, the processing module 32 clusters the network equipment according to the feature value to obtain at least one type of network equipment, and the clustering includes:

[0075] According to the feature value, a feature distance between any two network devices is obtained;

[0076] If the feature distance is less than a preset distance threshold, the two network devices are classified as a type of network device, and at least one type of network device is obtained.

[0077] Optionally, the processing module 32 performs an on-site processing flow of the at least one network device, and obtains a processing result of the on-site processing flow, including:

[0078] A photo of the at least one network device collected on site is obtained;

[0079] If the photo of the at least one network device indicates that the network device meets the acceptance standard, the network device is subjected to quality audit, and if the audit is passed, it is determined whether the acceptance is passed according to the acceptance standard, and if the acceptance is passed, an acceptance passed processing result of the on-site processing flow is output.

[0080] Optionally, the obtaining module 31 is configured to obtain a photo of at least one network device collected according to a preset collection template, including:

[0081] The photo of at least one network device collected according to a preset collection template in at least one of a distributed radio access network (D-RAN), a centralized radio access network (C-RAN) and indoor distribution is obtained;

[0082] The preset collection template includes at least one of a first preset number of collection templates in a D-RAN scenario, a second preset number of collection templates in a C-RAN scenario, and a third preset number of collection templates in an indoor distribution scenario.

[0083] Optionally, in a centralized radio access network (C-RAN) scenario, a first acceptance work order for accepting all first target network devices under the same resource pool site and a second acceptance work order for accepting a plurality of remote second target network devices are generated and issued.

[0084] Optionally, according to the first acceptance work order, all first target network devices under the same resource pool site are accepted, and a first acceptance result is obtained;

[0085] According to the second acceptance work order, a plurality of second target network devices are accepted respectively, and a plurality of second acceptance results are obtained;

[0086] According to the first acceptance result and the plurality of second acceptance results, an on-site processing flow of the network device in the C-RAN scenario is obtained.

[0087] In this embodiment, the device is the same as the method described above. All implementations of the method described above are applicable to the embodiment of this device and can achieve the same technical effect.

[0088] This invention provides a non-volatile computer storage medium storing at least one executable instruction that can execute the network device process handover processing method described in any of the above method embodiments.

[0089] Figure 4 The diagram shows a structural schematic of a computing device provided in an embodiment of the present invention. The specific embodiments of the present invention do not limit the specific implementation of the computing device.

[0090] like Figure 4 As shown, the computing device may include a processor, a communications interface, memory, and a communications bus.

[0091] The processor, communication interface, and memory communicate with each other via a communication bus. The communication interface is used to communicate with other network elements, such as clients or other servers. The processor executes programs, specifically the relevant steps in the above-described embodiment of the network device process communication method for computing devices.

[0092] Specifically, the program may include program code, which includes computer operation instructions.

[0093] The processor may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement embodiments of the present invention. The computing device includes one or more processors, which may be processors of the same type, such as one or more CPUs; or processors of different types, such as one or more CPUs and one or more ASICs.

[0094] Memory is used to store programs. Memory may include high-speed RAM, and may also include non-volatile memory, such as at least one disk drive.

[0095] The program can be specifically used for causing the processor to execute the processing method of the network device process dimension in any method embodiment described above. The specific implementation of each step in the program can refer to the corresponding description in the corresponding step and unit of the processing method of the network device process dimension in the above embodiment, which will not be repeated here. It can be clearly understood by those skilled in the art that, for the convenience and brevity of description, the specific working process of the device and module described above can refer to the corresponding process description in the foregoing method embodiments, which will not be repeated here.

[0096] The algorithms and displays presented herein are not inherently related to any particular computer, virtual system, or other apparatus. Various general purpose systems can be used with programs in accordance with the teachings herein, or it can prove convenient to construct more specialized apparatus to perform the required method steps. The required structure for a variety of these systems will be apparent from the description above. In addition, the present embodiments are not described with reference to any particular programming language. It will be appreciated that a variety of programming languages can be used to implement the teachings of the embodiments as described herein, and any references below to specific languages are provided for disclosure of enablement of the best mode of the embodiments.

[0097] In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the application can be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been described in detail in order not to obscure the understanding of this description.

[0098] Similarly, it is to be understood that the mechanical details of the application have sometimes been presented in terms of particular embodiments thereof, and that the features of the application described in connection with one embodiment can be combined with features of another embodiment, as will be realized by those skilled in the art. Such modifications of the various embodiments are intended to fall within the scope of the application. It is contemplated that the application can be practiced with the exact features shown and described or with other systems, components, materials, etc. The terms "comprise," "comprising," "include," "including," and the like are used herein to mean including at least the recited feature but that the compositions or methods are not limited to those features. It is intended that the examples below be considered as exemplary only and that other examples can be employed without departing from the true scope of the application.

[0099] Those skilled in the art will appreciate that the modules in the apparatuses in the embodiments can be adapted and placed in one or more apparatuses other than the embodiments. The modules or units or components in the embodiments can be combined into one module or unit or component, and further can be divided into multiple sub-modules or sub-units or sub-components. Except that at least some of such features and / or processes or units are mutually exclusive, all combinations of all features disclosed in this specification (including accompanying claims, abstract and drawings) and all processes or units of any methods or apparatuses so disclosed can be adopted in any combination. Unless explicitly stated otherwise, each feature disclosed in this specification (including accompanying claims, abstract and drawings) can be replaced by alternative features providing the same, equivalent or similar functionality.

[0100] Further, those skilled in the art will appreciate that a combination of features of different embodiments means that such combination is within the scope of the application and forms a different embodiment. For example, in the following claims, any of the claimed embodiments can be used in any combination.

[0101] The various component embodiments of the present application can be implemented in hardware, or as software modules running in one or more processors, or in combinations thereof. Those skilled in the art will appreciate that a microprocessor or a digital signal processor (DSP) can be used in practice to implement some or all of the functionality of some or all of the components according to the embodiments of the present application. The embodiments of the present application can also be implemented as a program of apparatuses or devices (for example, computer programs and computer program products) for performing part or all of the methods described herein. Such program implementing the embodiments of the present application can be stored on a computer readable medium, or can be in the form of one or more signals. Such signals can be downloaded from an Internet website, or provided on a carrier signal, or in any other form.

[0102] It should be noted that the above-mentioned embodiments illustrate rather than limit the application, and that one skilled in the art will be able to design many alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word 'comprising' does not exclude the presence of elements or steps other than those listed in a claim. The word 'a' or 'an' preceding an element does not exclude the presence of a plurality of such elements. The application can be implemented by means of both hardware and software, and any combination thereof. In a unitary claim, several devices, apparatuses or means can be listed, comprising means for carrying out a certain task. The use of the term'means' in a claim is intended to refer to a combination of devices, apparatuses or means for carrying out a task. The word 'first','second', 'third', etc. do not imply any order. The use of these terms is to be construed as an indication of particular embodiments. Steps in the above-described embodiments can be carried out in any order, unless otherwise specified.

Claims

1. A network device process dimension handling method, characterized in that, The method comprises: acquiring a photo of at least one network device collected according to a preset collection template; performing pre-audit processing on the photo to obtain a pre-audit processing result; if the pre-audit processing result is passed, performing an on-site maintenance processing flow of the at least one network device to obtain a processing result of the on-site maintenance processing flow; in a centralized radio access network (C-RAN) scenario, generating and issuing a first acceptance work order for acceptance of all first target network devices under a same resource pool site and a second acceptance work order for acceptance of a plurality of remote second target network devices.

2. The method of claim 1, wherein the network device process dimension is a network device process dimension. The pre-audit processing on the photo to obtain a pre-audit processing result comprises: performing feature extraction on the photo according to feature labels in the photo to obtain feature values of the photo; clustering network devices according to the feature values to obtain at least one type of network device; performing audit on the at least one type of device according to a preset standard model to obtain an audit processing result of whether the network device conforms to the preset standard model.

3. The method of claim 2, wherein the network device process dimension is a network device process dimension. The clustering of network devices according to the feature values to obtain at least one type of network device comprises: acquiring a feature distance between any two network devices according to the feature values; if the feature distance is less than a preset distance threshold, classifying the two network devices into one type of network device to obtain at least one type of network device.

4. The method of claim 1, wherein the network device process dimension is a network device process dimension. The on-site maintenance processing flow of the at least one network device to obtain a processing result of the on-site maintenance processing flow comprises: acquiring a photo of the at least one network device collected on site; if the photo of the at least one network device indicates that the network device conforms to an acceptance standard, performing quality audit on the network device, if the audit is passed, confirming whether acceptance is passed according to the acceptance standard, and if the acceptance is passed, outputting an acceptance-passed processing result of the on-site maintenance processing flow.

5. The method of claim 1, wherein the network device process dimension is a network device process dimension. The acquiring of the photo of the at least one network device collected according to the preset collection template comprises: acquiring the photo of the at least one network device collected according to the preset collection template in at least one of a distributed radio access network (D-RAN) scenario, a C-RAN scenario, and an indoor distribution scenario; the preset collection template comprises at least one of a first preset number of collection templates in the D-RAN scenario, a second preset number of collection templates in the C-RAN scenario, and a third preset number of collection templates in the indoor distribution scenario.

6. The method of claim 1, wherein the network device process dimension is a network device process. The method further comprises: performing acceptance on all first target network devices under the same resource pool site according to the first acceptance work order to obtain a first acceptance result; performing acceptance on the plurality of remote second target network devices respectively according to the second acceptance work order to obtain a plurality of second acceptance results; obtaining a maintenance acceptance result of the network device in the C-RAN scenario according to the first acceptance result and the plurality of second acceptance results.

7. A network device process dimensioning processing apparatus, characterized by, The apparatus comprises: an acquisition module configured to acquire a photo of at least one network device collected according to a preset collection template; The processing module is configured to perform pre-audit processing on the photo to obtain a pre-audit processing result, and if the pre-audit processing result is passed, perform on-site maintenance processing of the at least one network device to obtain a processing result of the on-site maintenance processing. A module for generating and issuing a first acceptance work order for acceptance of all first target network devices under a same resource pool site and a plurality of second target networks for acceptance of a plurality of remote second target networks in a centralized radio access network (C-RAN) scenario.

8. A computing device comprising: A processor, a memory, a communication interface, and a communication bus, the processor, the memory, and the communication interface communicate with each other through the communication bus; The memory is configured to store at least one executable instruction, and the executable instruction causes the processor to perform operations corresponding to the network device process maintenance processing method in any one of claims 1-6.

9. A computer storage medium, the storage medium storing at least one executable instruction, the executable instruction causing a processor to perform operations corresponding to the network device process maintenance processing method in any one of claims 1-6.

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