CN115343572A

CN115343572A - Detection method and device for power supply link

Info

Publication number: CN115343572A
Application number: CN202210897868.0A
Authority: CN
Inventors: 沈曈
Original assignee: China Telecom Corp Ltd
Current assignee: China Telecom Corp Ltd
Priority date: 2022-07-28
Filing date: 2022-07-28
Publication date: 2022-11-15

Abstract

The embodiment of the invention provides a detection method and a detection device for a power supply link, wherein a static data wide table for first power supply equipment and a dynamic data wide table for second power supply equipment are generated; generating a power supply link topological graph aiming at the first power supply equipment and the second power supply equipment according to the topological structure relation identification and the power supply equipment identification; the power supply link is detected based on the power supply link topological graph, the power supply link topological graph is guaranteed to be updated along with the change of the power supply link, the maintenance of the part of the power supply equipment with changeable expression in the power supply link topological graph is avoided, and therefore the efficiency of power supply link detection is improved.

Description

Detection method and device for power supply link

Technical Field

The present invention relates to the field of power supply link detection technologies, and in particular, to a method and an apparatus for detecting a power supply link, an electronic device, and a computer-readable storage medium.

Background

Along with the development of science and technology, electricity plays an irreplaceable role in daily production work as a main energy source in production. The power supply machine room is an important component in the power system, the requirements on power supply quality and continuity are more strict, if the power supply cannot be used and managed correctly and safely, serious consequences can be caused, the service is interrupted slightly, the production requirement cannot be met, and serious catastrophic loss of lives and properties is caused seriously, so that the maintenance of the power supply link safety of the power supply machine room becomes a great importance in ensuring the production safety work.

In the correlation technique, still use the manual work to patrol and examine as the owner to the maintenance of power supply machine room, include generally to patrol and examine, humiture measurement, timing load meter reading etc. to each point position with the mode that the manual work was patrolled and examined, however, along with the rapid development of electric wire netting for the complexity of electric wire netting improves gradually, and current maintenance mode can't discover, the location problem fast, often causes the computer lab power supply system to break down the back, can't rearrange fast, causes the business to be comprehensive to be obstructed.

Disclosure of Invention

The embodiment of the invention provides a detection method and device for a power supply link, electronic equipment and a computer readable storage medium, and aims to solve the problem of how to automatically detect the power supply link of a computer room.

The embodiment of the invention discloses a detection method for a power supply link, wherein the power supply link comprises a first power supply device and a second power supply device, the first power supply device is a power supply device in a non-variable power supply link, the second power supply device is a power supply device except the first power supply device, and the method can comprise the following steps:

generating a static data width table for the first power supply device and a dynamic data width table for the second power supply device; the static data wide table comprises a topological structure relation identifier; the topological structure relation identification is used for expressing an incidence relation between first power supply equipment; the dynamic data wide table comprises a power supply equipment identifier, and the power supply equipment identifier is used for marking second power supply equipment;

generating a power supply link topological graph aiming at the first power supply equipment and the second power supply equipment according to the topological structure relation identification and the power supply equipment identification;

and detecting the power supply link based on the topology map of the power supply link.

Optionally, at least one of the first power supply devices may include a mains-related device, a high-low voltage device, a topology switch, and an oil engine storage battery device.

Optionally, before the step of generating a power supply link topology map for the first power supply device and the second power supply device according to the topology relation identifier and the power supply device identifier, the method may further include:

determining a target second power supply device from the second power supply devices; the target second power supply equipment is power supply equipment with replacement frequency higher than a preset threshold value; the target second power supply equipment is provided with a corresponding first target power supply equipment identification; the first target power supply equipment identification is used for marking the target second power supply equipment;

and removing the first target power supply equipment identification from the power supply equipment identification to obtain a second target power supply equipment identification.

Optionally, the step of generating a power supply link topology map for the first power supply device and the second power supply device according to the topology relation identifier and the power supply device identifier may include:

generating a resource width table for the target second power supply device; the resource width table is used for displaying a power supply path of the target second power supply equipment;

and generating a power supply link topological graph aiming at the first power supply equipment and the second power supply equipment according to the topological structure relation identification and the second target power supply equipment identification.

Optionally, the step of detecting the power supply link based on the power supply link topology map may include:

determining power supply equipment to be detected from the power supply link topological graph;

acquiring an attribute characteristic function for the power supply equipment to be detected;

training an evaluation model by adopting the attribute characteristic function;

and detecting the power supply equipment to be detected by adopting the trained evaluation model.

The embodiment of the present invention further discloses a detection apparatus for a power supply link, where the power supply link includes a first power supply device and a second power supply device, the first power supply device is a power supply device in a non-fluctuating power supply link, and the second power supply device is a power supply device other than the first power supply device, and the apparatus may include:

the data width table generating module is used for generating a static data width table aiming at the first power supply equipment and a dynamic data width table aiming at the second power supply equipment; the static data wide table comprises a topological structure relation identifier; the topological structure relation identification is used for expressing an incidence relation between first power supply equipment; the dynamic data wide table comprises a power supply equipment identifier, and the power supply equipment identifier is used for marking second power supply equipment;

a power supply link topological graph generating module, configured to generate a power supply link topological graph for the first power supply device and the second power supply device according to the topological structure relationship identifier and the power supply device identifier;

and the power supply link detection module is used for detecting the power supply link based on the power supply link topological graph.

Optionally, at least one of the first power supply devices may include a utility power device, a high-voltage device, a low-voltage device, a topology switch, and an oil engine battery device.

Optionally, the method may further include:

the target second power supply equipment determining module is used for determining target second power supply equipment from the second power supply equipment; the target second power supply equipment is power supply equipment with replacement frequency higher than a preset threshold value; the target second power supply equipment is provided with a corresponding first target power supply equipment identification; the first target power supply equipment identification is used for marking the target second power supply equipment;

and the second target power supply equipment identifier acquisition module is used for removing the first target power supply equipment identifier from the power supply equipment identifiers to obtain a second target power supply equipment identifier.

Optionally, the power supply link topology map generating module may include:

the resource width table generating submodule is used for generating a resource width table aiming at the target second power supply equipment; the resource width table is used for displaying a power supply path of the target second power supply equipment;

and the power supply link topological graph generating submodule is used for generating a power supply link topological graph aiming at the first power supply equipment and the second power supply equipment according to the topological structure relation identifier and the second target power supply equipment identifier.

Optionally, the power supply link detection module may include:

the power supply equipment to be detected determining submodule is used for determining the power supply equipment to be detected from the power supply link topological graph;

the attribute characteristic function acquisition submodule is used for acquiring an attribute characteristic function for the power supply equipment to be detected;

the evaluation model training submodule is used for training an evaluation model by adopting the attribute characteristic function;

and the power supply link detection submodule is used for detecting the power supply equipment to be detected by adopting the trained evaluation model.

The embodiment of the invention also discloses electronic equipment which comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory finish mutual communication through the communication bus;

the memory is used for storing a computer program;

the processor is configured to implement the method according to the embodiment of the present invention when executing the program stored in the memory.

Embodiments of the present invention also disclose a computer-readable storage medium having instructions stored thereon, which, when executed by one or more processors, cause the processors to perform the method according to the embodiments of the present invention.

The embodiment of the invention has the following advantages:

in the embodiment of the invention, a static data wide table aiming at a first power supply device and a dynamic data wide table aiming at a second power supply device are generated; generating a power supply link topological graph aiming at the first power supply equipment and the second power supply equipment according to the topological structure relation identification and the power supply equipment identification; the power supply link is detected based on the power supply link topological graph, the power supply link topological graph is guaranteed to be updated along with the change of the power supply link, the maintenance of the part of the power supply equipment with changeable expression in the power supply link topological graph is avoided, and therefore the efficiency of power supply link detection is improved.

Drawings

Fig. 1 is a flowchart illustrating steps of a detection method for a power supply link according to an embodiment of the present invention;

fig. 2 is a schematic diagram of an association analysis process for a power supply link provided in an embodiment of the present invention;

fig. 3 is a schematic diagram of a data transmission process for a power supply link provided in an embodiment of the present invention;

fig. 4 is a block diagram of a detection apparatus for a power supply link provided in an embodiment of the present invention;

fig. 5 is a block diagram of a hardware structure of an electronic device provided in each embodiment of the present invention.

Detailed Description

In order to make the aforementioned objects, features and advantages of the present invention more comprehensible, the present invention is described in detail with reference to the accompanying drawings and the detailed description thereof.

In practical applications, in the face of problems of low efficiency of a manual inspection power supply machine room, rising of labor cost and aging, related technologies are continuously exploring new intelligent maintenance modes, for example, safety assessment of a full link of power supply of the machine room based on static topology. The power supply full link safety assessment technology introduces the capability of analyzing the power supply topology of the machine room in the maintenance process, so that the operator maintenance personnel can perform differentiated maintenance on the machine room according to the service importance by combining the actual situation of field power supply, and not simply maintain all machine rooms by taking the office station machine room as a maintenance unit.

In a traditional communication machine room, a local moving loop monitoring system is used for providing a power supply full link safety analysis Data source, in a large IDC (Internet Data Center), a group control system and a warming and ventilating system are used for providing the power supply full link safety analysis Data source, and in a base station and an access network, a provincial terminal convergence system is used for providing the power supply full link safety analysis Data source. It is similar to include power supply performance data in these systems. The power supply full link safety analysis function is to evaluate and match important services to a high-specification maintenance mode through correlation and analysis of machine room data, and the important services are used as a basis for differential maintenance.

Therefore, the acquisition accuracy and the correlation integrity of each dimension of data are the key for implementing the power supply full link safety assessment, and at present, the full link safety assessment mainly obtains the data in the following ways:

(1) Drawing importing: the method comprises the steps of including a power supply design drawing, a technical transformation upgrading drawing and the like during the building construction;

(2) Drawing manually: providing a standard drawing tool, and finishing configuration in a dragging and pulling mode;

(3) A butt joint system: acquiring the equipment attribute collected in the existing system;

however, the practical use of the existing maintenance mode based on the power supply topology has many difficulties, and the popularization of intensive intelligent maintenance is seriously influenced.

The difficulties that exist in particular are as follows:

1. the power supply topology is complex, the period of the power supply change of the tail end is fast, and the association is difficult to maintain.

With the development of industries such as cloud computing, 5G, internet of things and the like and the catalysis of epidemic situations, the explosive growth of global data volume and data flow leads to rapid business growth, the power supply protection modes of machine rooms, particularly IDC machine rooms, are more and more diverse, the change cycle of terminal power supply is more and more rapid, and the power supply association is more and more difficult to maintain. For example, there are only 30 service racks in a room several days before, and after 5 days, 100 racks are fully loaded and ready for power expansion. And the field maintenance personnel of operators are difficult to quickly complete the power supply topology logic optimization and the tail end power supply related information maintenance.

2. The manual drawing workload is huge, and real-time updating is difficult to guarantee.

Because the standard drawing tool is provided to support all types of equipment, the equipment types are more, the dragging mode is carried out according to points, the operation is complex, and the automation degree is low. The core of the full-link safety assessment based on the single topological graph is the accuracy of the topological graph and the timeliness of the real-time acquisition performance, the topological graph formed based on manual drawing needs to be manually performed by maintenance personnel, even if a power supply relation graph during leading-in construction exists, the accuracy needs to be verified one by maintenance personnel of an operator, the workload is huge, real-time updating cannot be guaranteed, and the method is difficult to popularize in all machine rooms.

3. The analytical modeling form is single, and the flexibility is lacked.

In the era of mobile internet, a large number of computing power servers are increased, the requirement on power supply stability is higher and higher, but the requirement is limited by the complexity of power supply topological graph configuration, the existing analysis form is single, and flexible self-defined configuration analysis cannot be realized.

Especially for different requirements of various types of customers of the IDC data center, the fixed analysis method based on a single topological graph is difficult to support various maintenance requirements of the customers, and the control capability for important service subdivision is lacked, such as: in the same machine room or even the same rack, the power supply of some important racks is protected preferentially, and the protection strategy is not carried out on some racks. Full link security assessment based on a single topology graph is contradictory to the high demands of current customers.

That is, in the related art, the evaluation rule of the power supply topological graph full link safety evaluation method is based on attribute matching of a fixed topological graph drawing, and a general safety rule includes 2 aspects: 1) The current load and design capacity of the power supply equipment. Since the power supply structure of the end-rack power supply link changes due to capacity expansion, and the power supply link changes frequently, the evaluation of simple matching using the build-time power supply topology becomes increasingly inaccurate over time. 2) The mode of simply using fixed matching can cause large manual workload and poor flexibility.

In summary, the existing full-link security assessment method based on the power supply topology has the problems that fixed association is difficult to maintain, drawing workload is huge, the form is single, and flexibility is poor.

Therefore, in the embodiment of the invention, by distinguishing relatively fixed Power Supply equipment and Power Supply equipment with relatively high change rate, and introducing multiple dimensional data such as service importance degree, a whole-course Power Supply protection mechanism, a backup Power Supply, historical Power failure conditions, UPS (Uninterruptible Power Supply) load balance and the like in the maintenance process, a supervision and learning algorithm in machine learning is used for dynamically and automatically associating the topological graph, the dynamic association of the multiple dimensional data and the topological graph data is realized, early warning is carried out in the aspects of Power Supply capacity, storage battery operation quality, air conditioning environment and the like, an evaluation report is formed, field maintenance personnel can find hidden dangers in advance, faults are quickly positioned, and important services are timely solved and recovered.

Referring to fig. 1, a flowchart illustrating steps of a method for detecting a power supply link provided in an embodiment of the present invention is shown, which may specifically include the following steps:

step 101, generating a static data width table for the first power supply device and a dynamic data width table for the second power supply device;

102, generating a power supply link topological graph aiming at the first power supply equipment and the second power supply equipment according to the topological structure relation identification and the power supply equipment identification;

and 103, detecting the power supply link based on the power supply link topological graph.

In specific implementation, the embodiment of the present invention may be applied to an intelligent operation and maintenance system AIOps (intelligent intelligence for IT Operations), and the intelligent operation and maintenance system may implement automatic operation and maintenance work in a machine learning manner based on existing operation and maintenance data (logs, monitoring information, application information, and the like).

The power supply link in the embodiment of the present invention may include a first power supply device and a second power supply device, where the first power supply device is a power supply device in a non-varying power supply link, and the second power supply device is a power supply device other than the first power supply device.

The static data wide table may include a topological structure relationship identifier, and the topological structure relationship identifier may be used to express an association relationship between the first power supply devices.

In practical applications, the power supply device in the non-fluctuating power supply link may be a power supply device whose link relationship is not changed at most under normal operation, and optionally, the first power supply device in the embodiment of the present invention at least includes a commercial power relationship device, a high-low voltage device, a topology switch, and an oil engine storage battery device. In order to simplify the complex power supply full link relationship, in the embodiment of the present invention, a static data wide table for four types of relatively fixed devices, namely, a commercial power relationship device, a high-low voltage device, a topology switch, and an oil engine storage battery device, may be created, where each wide table may additionally define a topology relationship identifier TopologyID as a variable in addition to defining the most basic data, such as a device name, a type, a manufacturer, and a capacity, and is used to identify the top-bottom connection relationship of a tree structure before each wide table, that is, to express the association relationship between first power supply devices.

Because the link relation of the power supply equipment can be represented by a tree diagram, in the tree structure, a tree root node has no precursor node, and each of the other nodes has one precursor node. The leaf node has no subsequent node, and the number of the subsequent nodes of each of the rest nodes can be one or more. That is, the tree structure in mathematical statistics may represent hierarchical relationships, dependency relationships, and parallel relationships. The relation naturally accords with the topological relation that one power supply device in the power supply logic topology of the communication machine room simultaneously supplies a plurality of service devices, and the embodiment of the invention can adopt TopologyID variable to express the topological relation of the power supply full link.

For example: definition generation TopologyID: the relation is identified by using simple tree-shaped description of '1-2-3-1' -and filled in variable TopologyID, for example, the 'commercial power introduced' as a root node is used as a first layer, topologyID is '1', if a machine room is introduced by two independent test points, topologyID of a second path is '2', topologyID of a first transformer of a first path of commercial power is '1-1', and the like, topologyID definition of a static data wide table is gradually completed.

Defining a mains supply relation broad table: defining fields TopologyID, branch company, station name, power supply station, power supply line source, voltage level, household number and whether the ring main unit exists.

Defining a high-low pressure relation width table: definition fields TopologyID, affiliates, station name, field device name, code, type, rated capacity, backup uplinks.

Defining a topology switch relation wide table: definition fields TopologyID, affiliates, station names, switch names, codes, switch positions, types, rated capacities, uplinks, downlinks.

Defining an oil engine storage battery relation width table: definition fields TopologyID, branch company, station name, equipment name, code, uplink relation, rated capacity, and oil engine/storage battery type.

The dynamic data wide table of the embodiment of the present invention may include a power supply device identifier, where the power supply device identifier may be used to mark a second power supply device, and the second power supply device is a power supply device other than the first power supply device.

In practical applications, the second power supply device may be a power supply device that requires a change in the link relationship under normal operation, or may be understood as a power supply device other than the first power supply device in the power supply link.

In a specific implementation, the dynamic data wide table according to the embodiment of the present invention may include a power supply device identifier, where the power supply device identifier is used to mark the second power supply device.

For example, after the dynamic data wide table is generated, the field DyID (dynamic ID of the monitoring acquisition device is stored) may be read as the power supply device identification, which may include, but is not limited to, a device name, a code, a type, an acquisition time, a signal name, and an acquired signal real-time value of the second power supply device. And forming a power supply equipment list acquired by the dynamic loop in real time, using the resource data to associate and change the DyID, finally corresponding to the power supply equipment identification in the static data wide table, and combining the power supply equipment identification with the first four types of static data wide tables.

According to the embodiment of the method, after the static data wide table and the dynamic data wide table are generated, the power supply link topological graph for the first power supply equipment and the second power supply equipment is generated according to the topological structure relation identification and the power supply equipment identification, and the power supply link is detected based on the power supply link topological graph.

According to the embodiment of the invention, a static data wide table aiming at a first power supply device and a dynamic data wide table aiming at a second power supply device are generated; generating a power supply link topological graph aiming at the first power supply equipment and the second power supply equipment according to the topological structure relation identification and the power supply equipment identification; the power supply link is detected based on the power supply link topological graph, the power supply link topological graph is guaranteed to be updated along with the change of the power supply link, the maintenance of the part of the power supply link topological graph expressing changeable power supply equipment is avoided, and therefore the efficiency of detecting the power supply link is improved.

On the basis of the above-described embodiment, a modified embodiment of the above-described embodiment is proposed, and it is to be noted herein that, in order to make the description brief, only the differences from the above-described embodiment are described in the modified embodiment.

In an optional embodiment of the present invention, before the step of generating a power supply link topology map for the first power supply device and the second power supply device according to the topology relationship identifier and the power supply device identifier, the method further includes:

In practical application, although the second power supply device is a power supply device requiring a link relationship to be changed, the second power supply device also includes a power supply device which does not change frequently under a general condition, and such a device only needs maintenance when being cut-over or expanded, similarly, the second power supply device also includes a power supply device which needs to change frequently, and the embodiment of the present invention may use the power supply device which changes frequently as the target second power supply device, so the embodiment of the present invention may use the power supply device having a replacement frequency higher than a preset threshold as the target second power supply device, configure a corresponding first target power supply device identifier for the target second power supply device, mark the target second power supply device with the first target power supply device identifier, and remove the first target power supply device identifier before generating a power supply link topology diagram for the first power supply device and the second power supply device, so as to avoid high-frequency update of the power supply link topology diagram due to high-frequency conversion of the target second power supply device, thereby reducing an operation pressure of the operation and maintenance system on detection of the power supply link.

Further, in another optional embodiment of the present invention, before the step of generating a power supply link topology map for the first power supply device and the second power supply device according to the topological structure relationship identifier and the power supply device identifier, the method further includes:

As can be seen from the above, in practical applications, if the target second power supply device is recorded in the power supply link topological graph, the operation pressure of the operation and maintenance system on the detection of the power supply link may be increased, so that the embodiment of the present invention may generate the resource width table for displaying the power supply path of the target second power supply device, and generate the power supply link topological graphs for the first power supply device and the second power supply device according to the topological structure relationship identifier and the second target power supply device identifier.

For example:

TopologyID for the first power supply device: it can be used to describe the topology of a relatively fixed large backbone supply network link in a computer room.

DyID for a second power supply apparatus other than the target second power supply apparatus: the power supply equipment (such as UPS, switch power supply and 240V power supply) for monitoring and collecting in the machine room is described.

PowRelations for the target second power supply apparatus: the method is used for describing a plurality of tail end power supply units in a machine room, and can dynamically and synchronously update in real time according to the power-on and power-off unit order.

After the five broad lists are completed, the tail end power supply unit is removed from the second power supply equipment by combining the power utilization relation attribute PowRelations of the full-professional equipment in the resource system, and the system can automatically draw an end-to-end diagram of a full power supply link from the commercial power to the service equipment according to the TopologyID and the DyID.

The specific implementation process is as follows:

automatically generating an external mains supply introduction topology: and taking each external mains supply as a root node, and sequentially finding leaf nodes downwards according to the TopologyID field to form an external mains supply topological graph.

Automatically generating a high-low voltage topology: and comparing the TopologyID field in each high-voltage and low-voltage device with the root node one by one, and drawing a high-voltage and low-voltage topological graph according to the matched tree-shaped relation in sequence.

Automatically generating a power supply device topology: and matching the device coding field formed by using the acquired dynamic data wide table DyID with the coding field in the high-low voltage topological graph to form a combination of the dynamic data wide table and the static data wide table, drawing the topological graph of the power supply device by the successfully matched power supply device according to the tree-shaped relation in sequence, and labeling the real-time latest voltage, current and liability value.

Automatically generating an oil engine storage battery topology: the method comprises the steps of combining dynamic oil engine starting with TopologyID and equipment coding fields, collecting attribute values, equipment static capacity and topological relation data in real time through storage battery discharging to form a combination of the oil engine, the storage battery and a dynamic table, sequentially drawing a power supply equipment topological graph according to tree relations after successful matching is associated, and labeling dynamic numbers such as real-time starting states and discharging voltages on the topological graph.

Automatically generating a topology switch topology: and (3) recording the topological switch into a topological graph for inlaying by using TopologyID, the upper connection relation and the lower connection relation fields in the topological switch relation wide table, presenting the logical topological relations of power supply protection, high-voltage bus connection, low-voltage bus connection and 2N, and forming a tree-shaped topological graph of the topological switch.

The embodiment of the invention generates a resource width table aiming at the target second power supply equipment; the resource width table is used for displaying a power supply path of the target second power supply equipment; and generating a power supply link topological graph aiming at the first power supply equipment and the second power supply equipment according to the topological structure relation identifier and the second target power supply equipment identifier, so that a resource wide table is used for replacing the power supply link topological graph, and a related technician is prevented from updating the power supply link topological graph at high frequency due to high-frequency conversion of the target second power supply equipment under the condition that a full power supply link can be observed, so that the operation pressure of the operation and maintenance system on power supply link detection is reduced.

In an optional embodiment of the present invention, the step of detecting the power supply link based on the power supply link topology includes:

training an evaluation model by adopting the attribute characteristic function;

In a specific implementation, the embodiment of the present invention may perform analysis and evaluation on the power supply device in the power supply link by using a multivariate linear regression method based on the power supply link topological graph, specifically, determine the power supply device to be detected from the power supply link topological graph, then obtain an attribute feature function for the power supply device to be detected, train an evaluation model by using the attribute feature function, and then detect the power supply device to be detected by using the trained evaluation model.

For example, in the storage battery discharge time length prediction, a plurality of characteristic attributes such as outdoor temperature and humidity, a multi-point temperature and humidity cloud chart in a machine room, machine room layout, storage battery discharge time length, load change conditions, brands, age data and the like are combined to establish a mathematical model to observe main associated parameters influencing the storage battery discharge time length, and finally an evaluation model is established to predict the storage battery discharge time length.

Firstly: assume that this evaluation contains 6 feature attributes, and therefore its linear model is as follows:

h(x)＝w ₁ x ₁ +w ₂ x ₂ +w ₃ x ₃ +w ₄ x ₄ +w ₅ x ₅ +w ₆ x ₆ +b

the attribute feature function is:

secondly, the method comprises the following steps: modeling solution using a machine learning library sklern in a computer programming language python

def train(x，y):

model＝LinearRegression()

model.fit(x，y)

print ("weight:", model. Coef _)

print ("offset:", model. Interrupt _)

print ("predicted duration of group 2 cells:", model. Predict (x [2,: reshape (1, -1)))

print ("actual duration of group 2 batteries:", y 2.)

if__name__＝＝'__main__':

x，y＝load_data()

train(x，y)

# output results:

weight # is: [ -1.08011358e-01,4.64204584e-02, 2.055864e-022.68673382e +00, 1.77666112e +01,3.80986521e +00]

The # offset is: 27.35946838109201

Predicted time length of group # 2 batteries: [7.1]

Actual time period of group # 2 battery: 7.3 hours.

According to the embodiment of the invention, the power supply equipment to be detected is determined from the power supply link topological graph; acquiring an attribute characteristic function for the power supply equipment to be detected; training an evaluation model by adopting the attribute characteristic function; the trained evaluation model is adopted to detect the power supply equipment to be detected, so that the power supply link is monitored through machine learning, and the detection efficiency of the power supply link is further improved.

In order to make the embodiments of the present invention better understood by those skilled in the art, the following description is given by way of a full example.

Referring to fig. 2, fig. 2 is a schematic diagram of an association analysis process for a power supply link provided in an embodiment of the present invention;

static wide table: the wide list of 4 static devices in the machine room is maintained, the topological relation of the devices is relatively fixed when the devices are generally constructed, and the devices can be quickly constructed through TopologyID.

Dynamic wide table: maintaining 1 dynamic wide table, taking automatic ring to monitor, the equipment is not changed much, and needs to be maintained when occasionally cutting over or expanding, and uses TopologyID and DyID to quickly establish the relation between static state and resource

Resource width table: and maintaining 1 terminal equipment resource width table, wherein the table changes frequently relative to the previous 2 tables, so that the table is not fixed by a topological graph, and the power supply path is automatically pushed out by using the resource table information, thereby saving the workload.

Machine learning: and analyzing and evaluating by using a multivariate linear regression method, establishing a mathematical model to observe main associated parameters influencing the discharge time of the storage battery, and finally establishing an evaluation model to predict the discharge time of the storage battery.

Referring to fig. 3, fig. 3 is a schematic diagram of a data transmission process for a power supply link provided in an embodiment of the present invention;

and 4 static tables are input by maintenance personnel through a WEB page, and each table contains a unique field of the TopologyID and characteristic values of various types of equipment.

Obtaining the latest list of the power supply equipment in the monitoring of the driven ring, comprising the following steps: the equipment name, the code, the type, the dynamic ring ID, the performance value and the name of the machine room to which the equipment belongs form a dynamic wide table, a POST (POST position indicator) protocol is used for forming an interface, the machine room name is used as a reference, and power supply equipment in the same machine room can be called.

Acquiring the end electricity utilization information attribute and the equipment static characteristic value attribute (including brand, age, manufacturer, capacity and the like) from the resource system through the ODS-O interface, and combining the end electricity utilization information attribute and the equipment static characteristic value attribute with the static wide table and the dynamic wide table into a complete full-link topological graph by using DyID association.

And combining the historical performance value and the current performance value in the dynamic wide table with the currently formed full-link topological graph to serve as a training set of skleran for training, and finally predicting the performance values of important equipment such as a storage battery, an oil engine and the like. And predicting the current state and the future operation capacity of the equipment in the full link to obtain a safety evaluation result of the full link for power supply of the machine room.

In practical application, by applying the embodiment of the invention, only the field dynamic ring and the resource system need to be upgraded and modified, field maintenance personnel can carry out one-time association on the static wide-table data of the machine room, and meanwhile, the dynamic data and the resource data are rarely associated. The method comprises the following specific steps:

1. and (5) transforming the static data input by the dynamic ring network manager.

An xls import interface associated according to TopologyID needs to be added in the dynamic loop system, the basically fixed high-low voltage part power supply link information is mainly stored, and association is carried out through DyID in a power supply equipment dynamic relation table acquired in real time, so that the topology of the power supply trunk is formed.

2. And (5) modifying the electricity utilization information field by the resource system data.

And a resource system DyID field is added, and the tail end power supply association and the power supply main trunk topology are automatically spliced by combining with the power utilization information attribute, so that a tail end power supply link which can be automatically updated in a new city is provided.

3. And transforming external interface data of the dynamic ring system.

And an external interface of the dynamic ring is added, the data can be analyzed and evaluated by a multivariate linear regression method through external computing power, and the result after evaluation is returned to the dynamic ring system for presentation.

Through the steps, the embodiment of the invention achieves the following beneficial effects.

1) The embodiment of the invention effectively divides the whole power supply link into three parts of data which are basically fixed, unchanged, slightly changed and frequently changed by using the forms of a static wide table, a dynamic wide table and a resource wide table, uses the power utilization information data in the full life cycle of resources, and automatically updates the power supply topological structure association by combining the dynamic ring data and the topological information of the high-low voltage part, thereby avoiding the complex manual maintenance workload and greatly improving the maintenance efficiency.

2) The manual drawing workload of the prior technical scheme is huge, and real-time updating is difficult to ensure. The embodiment of the invention adopts a system automatic drawing form, can automatically combine the dynamic ring to monitor the actually collected data according to the generated topological relation, draws the full-link topological graph, does not need manual drawing, and improves the automation level.

3) The existing scheme has a single analysis modeling form and lacks flexibility. The embodiment of the invention adopts a multi-dimensional analysis model, can conveniently and flexibly adjust parameters and correlation analysis weights, enables related technical personnel to combine actual conditions such as field power distribution protection, current operation state and the like, carries out differentiation maintenance on a machine room according to service importance, and can realize flexible analysis of the condition of a power supply link, such as key attention on a key machine room, linkage monitoring of key equipment and environment, timely pushing of abnormal points and the like.

It should be noted that for simplicity of description, the method embodiments are shown as a series of combinations of acts, but those skilled in the art will recognize that the embodiments are not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the embodiments. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no particular act is required to implement the invention.

Referring to fig. 4, a block diagram of a structure of a detection apparatus for a power supply link provided in the embodiment of the present invention is shown, and specifically, the detection apparatus may include the following modules:

a data width table generating module 401, configured to generate a static data width table for the first power supply device and a dynamic data width table for the second power supply device; the static data wide table comprises a topological structure relation identifier; the topological structure relation identification is used for expressing an incidence relation between first power supply equipment; the dynamic data wide table comprises a power supply equipment identifier, and the power supply equipment identifier is used for marking second power supply equipment;

a power supply link topology map generating module 402, configured to generate a power supply link topology map for the first power supply device and the second power supply device according to the topology relationship identifier and the power supply device identifier;

a power supply link detection module 403, configured to detect the power supply link based on the power supply link topology map.

Optionally, the method may further include:

Optionally, the power supply link topology generation module may include:

Optionally, the power supply link detection module may include:

For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.

In addition, an embodiment of the present invention further provides an electronic device, including: the processor, the memory, and the computer program stored in the memory and capable of running on the processor, when executed by the processor, implement the processes of the above detection method embodiment for the power supply link, and can achieve the same technical effects, and in order to avoid repetition, details are not described here again.

The embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when being executed by a processor, the computer program implements each process of the above detection method for a power supply link, and can achieve the same technical effect, and in order to avoid repetition, the detailed description is omitted here. The computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.

Fig. 5 is a schematic diagram of a hardware structure of an electronic device implementing various embodiments of the present invention.

The electronic device 500 includes, but is not limited to: a radio frequency unit 501, a network module 502, an audio output unit 503, an input unit 504, a sensor 505, a display unit 506, a user input unit 507, an interface unit 508, a memory 509, a processor 510, and a power supply 511. Those skilled in the art will appreciate that the electronic device configuration shown in fig. 5 does not constitute a limitation of the electronic device, and that the electronic device may include more or fewer components than shown, or some components may be combined, or a different arrangement of components. In the embodiment of the present invention, the electronic device includes, but is not limited to, a mobile phone, a tablet computer, a notebook computer, a palm computer, a vehicle-mounted terminal, a wearable device, a pedometer, and the like.

It should be understood that, in the embodiment of the present invention, the radio frequency unit 501 may be used for receiving and sending signals during a message sending and receiving process or a call process, and specifically, receives downlink data from a base station and then processes the received downlink data to the processor 510; in addition, the uplink data is transmitted to the base station. In general, radio frequency unit 501 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 501 can also communicate with a network and other devices through a wireless communication system.

The electronic device provides the user with wireless broadband internet access via the network module 502, such as assisting the user in sending and receiving e-mails, browsing web pages, and accessing streaming media.

The audio output unit 503 may convert audio data received by the radio frequency unit 501 or the network module 502 or stored in the memory 509 into an audio signal and output as sound. Also, the audio output unit 503 may also provide audio output related to a specific function performed by the electronic apparatus 500 (e.g., a call signal reception sound, a message reception sound, etc.). The audio output unit 503 includes a speaker, a buzzer, a receiver, and the like.

The input unit 504 is used to receive an audio or video signal. The input Unit 504 may include a Graphics Processing Unit (GPU) 5041 and a microphone 5042, and the Graphics processor 5041 processes image data of still pictures or video obtained by an image capturing device (e.g., a camera) in a video capture mode or an image capture mode. The processed image frames may be displayed on the display unit 506. The image frames processed by the graphic processor 5041 may be stored in the memory 509 (or other storage medium) or transmitted via the radio frequency unit 501 or the network module 502. The microphone 5042 may receive sounds and may be capable of processing such sounds into audio data. The processed audio data may be converted into a format output transmittable to a mobile communication base station via the radio frequency unit 501 in case of the phone call mode.

The electronic device 500 also includes at least one sensor 505, such as light sensors, motion sensors, and other sensors. Specifically, the light sensor includes an ambient light sensor that can adjust the brightness of the display panel 5061 according to the brightness of ambient light, and a proximity sensor that can turn off the display panel 5061 and/or a backlight when the electronic device 500 is moved to the ear. As one type of motion sensor, an accelerometer sensor can detect the magnitude of acceleration in each direction (generally three axes), detect the magnitude and direction of gravity when stationary, and can be used to identify the posture of an electronic device (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), and vibration identification related functions (such as pedometer, tapping); the sensor 505 may also include a fingerprint sensor, a pressure sensor, an iris sensor, a molecular sensor, a gyroscope, a barometer, a hygrometer, a thermometer, an infrared sensor, etc., which will not be described in detail herein.

The display unit 506 is used to display information input by the user or information provided to the user. The Display unit 506 may include a Display panel 5061, and the Display panel 5061 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like.

The user input unit 507 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the electronic device. Specifically, the user input unit 507 includes a touch panel 5071 and other input devices 5072. Touch panel 5071, also referred to as a touch screen, may collect touch operations by a user on or near it (e.g., operations by a user on or near touch panel 5071 using a finger, stylus, or any suitable object or attachment). The touch panel 5071 may include two parts of a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 510, and receives and executes commands sent by the processor 510. In addition, the touch panel 5071 may be implemented in various types such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. In addition to the touch panel 5071, the user input unit 507 may include other input devices 5072. In particular, other input devices 5072 may include, but are not limited to, a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, and a joystick, which are not described in detail herein.

Further, the touch panel 5071 may be overlaid on the display panel 5061, and when the touch panel 5071 detects a touch operation thereon or nearby, the touch operation is transmitted to the processor 510 to determine the type of the touch event, and then the processor 510 provides a corresponding visual output on the display panel 5061 according to the type of the touch event. Although in fig. 5, the touch panel 5071 and the display panel 5061 are two independent components to implement the input and output functions of the electronic device, in some embodiments, the touch panel 5071 and the display panel 5061 may be integrated to implement the input and output functions of the electronic device, and is not limited herein.

The interface unit 508 is an interface for connecting an external device to the electronic apparatus 500. For example, the external device may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The interface unit 508 may be used to receive input (e.g., data information, power, etc.) from external devices and transmit the received input to one or more elements within the electronic apparatus 500 or may be used to transmit data between the electronic apparatus 500 and external devices.

The memory 509 may be used to store software programs as well as various data. The memory 509 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Further, the memory 509 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage device.

The processor 510 is a control center of the electronic device, connects various parts of the whole electronic device by using various interfaces and lines, performs various functions of the electronic device and processes data by running or executing software programs and/or modules stored in the memory 509 and calling data stored in the memory 509, thereby performing overall monitoring of the electronic device. Processor 510 may include one or more processing units; preferably, the processor 510 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into processor 510.

The electronic device 500 may further include a power supply 511 (e.g., a battery) for supplying power to various components, and preferably, the power supply 511 may be logically connected to the processor 510 via a power management system, so as to implement functions of managing charging, discharging, and power consumption via the power management system.

In addition, the electronic device 500 includes some functional modules that are not shown, and are not described in detail herein.

It should be noted 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 one of 8230, and" comprising 8230does not exclude the presence of additional like elements in a process, method, article, or apparatus comprising the element.

Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.

While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.

It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention or a part thereof which substantially contributes to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk or an optical disk, and various media capable of storing program codes.

The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily think of the changes or substitutions within the technical scope of the present invention, and shall cover the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. A method for detecting a power supply link, where the power supply link includes a first power supply device and a second power supply device, the first power supply device is a power supply device in a non-modified power supply link, and the second power supply device is a power supply device other than the first power supply device, the method comprising:

and detecting the power supply link based on the power supply link topological graph.

2. The method of claim 1, wherein the first power supply equipment comprises at least one of a utility-related device, a high-low voltage device, a topology switch, and an oil engine battery device.

3. The method according to claim 1, further comprising, before the step of generating a power supply link topology map for the first power supply device and the second power supply device according to the topology relation identifier and the power supply device identifier:

4. The method according to claim 3, wherein the step of generating a power supply link topology map for the first power supply device and the second power supply device according to the topology relation identifier and the power supply device identifier comprises:

5. The method according to any of claims 1-4, wherein the step of detecting the power supply link based on the power supply link topology map comprises:

training an evaluation model by adopting the attribute characteristic function;

6. A detection apparatus for a power supply link, where the power supply link includes a first power supply device and a second power supply device, the first power supply device is a power supply device in a non-varying power supply link, and the second power supply device is a power supply device other than the first power supply device, the apparatus comprising:

a power supply link topological diagram generating module, configured to generate a power supply link topological diagram for the first power supply device and the second power supply device according to the topological structure relationship identifier and the power supply device identifier;

7. The apparatus of claim 6, wherein the first power supply device comprises at least a power supply device, a high-voltage device, a low-voltage device, a topology switch, and an oil engine battery device.

8. The apparatus of claim 6, further comprising:

9. The apparatus of claim 8, wherein the power supply link topology map generating module comprises:

10. The apparatus according to any of claims 6-9, wherein the power link detection module comprises:

11. An electronic device, comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus;

the memory is used for storing a computer program;

the processor, when executing a program stored on the memory, implementing the method of any one of claims 1-5.

12. A computer-readable storage medium having stored thereon instructions, which when executed by one or more processors, cause the processors to perform the method of any one of claims 1-5.