A detection method and device for power supply link

Abstract

The embodiment of the present invention provides a detection method and device for a power supply link, by generating a static data wide table for a first power supply device and a dynamic data wide table for a second power supply device; generating a power supply link topology map for the first power supply device and the second power supply device according to a topology structure relationship identifier and a power supply device identifier; and detecting the power supply link based on the power supply link topology map, thereby ensuring that the power supply link topology map can be updated as the power supply link changes, avoiding manual maintenance of the part of the power supply device expressed in the power supply link topology map, thereby improving the efficiency of power supply link detection.

Description

Technical Field

[0001] The present invention relates to the technical field of power supply link detection, and in particular to a detection method for a power supply link, a detection device for a power supply link, an electronic device and a computer-readable storage medium. Background Art

[0002] With the development of science and technology, electricity, as the main energy source in production, plays an irreplaceable role in daily production work. The power supply room is an important part of the power system, and the requirements for power supply quality and continuity are more stringent. If the power supply is not used and managed correctly and safely, serious consequences may occur, which may lead to service interruption and failure to meet production requirements, or even cause major catastrophic losses of life and property. Therefore, maintaining the power supply link security of the power supply room has become the top priority in ensuring production safety.

[0003] In the relevant technology, the maintenance of the power supply room is still mainly based on manual inspection, which usually includes manual inspection of each point, temperature and humidity measurement, timed load meter reading, etc. However, with the rapid development of the power grid, the complexity of the power grid has increased day by day. The existing maintenance mode cannot quickly discover and locate problems, which often results in the inability to quickly switch after the power supply system of the computer room fails, causing comprehensive business obstruction. Summary of the invention

[0004] The embodiment of the present invention provides a detection method, device, electronic device and computer-readable storage medium for a power supply link, so as to solve the problem of how to automatically detect the power supply link of a computer room.

[0005] An embodiment of the present invention discloses a detection method for a power supply link, wherein the power supply link includes a first power supply device and a second power supply device, wherein the first power supply device is a power supply device in a non-variable power supply link, and the second power supply device is a power supply device other than the first power supply device. The method may include:

[0006] Generate a static data wide table for the first power supply device and a dynamic data wide table for the second power supply device; the static data wide table includes a topology structure relationship identifier; the topology structure relationship identifier is used to express the association relationship between the first power supply devices; the dynamic data wide table includes a power supply device identifier, and the power supply device identifier is used to mark the second power supply device;

[0007] Generate a power supply link topology map for the first power supply device and the second power supply device according to the topology structure relationship identifier and the power supply device identifier;

[0008] The power supply link is detected based on the power supply link topology diagram.

[0009] Optionally, the first power supply equipment may at least include AC power equipment, high and low voltage equipment, a topology switch, and an oil engine battery equipment.

[0010] 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 structure relationship identifier and the power supply device identifier, the method may further include:

[0011] Determine a target second power supply device from the second power supply device; the target second power supply device is a power supply device whose replacement frequency is higher than a preset threshold; the target second power supply device has a corresponding first target power supply device identifier; the first target power supply device identifier is used to mark the target second power supply device;

[0012] The first target power supply equipment identifier is removed from the power supply equipment identifier to obtain a second target power supply equipment identifier.

[0013] 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 structure relationship identifier and the power supply device identifier may include:

[0014] Generate a resource width table for the target second power supply device; the resource width table is used to display the power supply path of the target second power supply device;

[0015] A power supply link topology map for the first power supply device and the second power supply device is generated according to the topology structure relationship identifier and the second target power supply device identifier.

[0016] Optionally, the step of detecting the power supply link based on the power supply link topology map may include:

[0017] Determine the power supply device to be detected from the power supply link topology diagram;

[0018] Obtaining an attribute feature function for the power supply device to be detected;

[0019] Using the attribute feature function to train an evaluation model;

[0020] The trained evaluation model is used to detect the power supply device to be detected.

[0021] The embodiment of the present invention further discloses a detection device for a power supply link, wherein the power supply link includes a first power supply device and a second power supply device, wherein the first power supply device is a power supply device in a non-variable power supply link, and the second power supply device is a power supply device other than the first power supply device. The device may include:

[0022] A data wide table generation module, used to generate a static data wide table for the first power supply device and a dynamic data wide table for the second power supply device; the static data wide table includes a topology structure relationship identifier; the topology structure relationship identifier is used to express the association relationship between the first power supply devices; the dynamic data wide table includes a power supply device identifier, and the power supply device identifier is used to mark the second power supply device;

[0023] A power supply link topology map generating module, used to generate a power supply link topology map for the first power supply device and the second power supply device according to the topology structure relationship identifier and the power supply device identifier;

[0024] A power supply link detection module is used to detect the power supply link based on the power supply link topology diagram.

[0025] Optionally, the first power supply equipment may at least include AC power equipment, high and low voltage equipment, a topology switch, and an oil engine battery equipment.

[0026] Optionally, it may also include:

[0027] A target second power supply device determination module, used to determine a target second power supply device from the second power supply devices; the target second power supply device is a power supply device whose replacement frequency is higher than a preset threshold; the target second power supply device has a corresponding first target power supply device identifier; the first target power supply device identifier is used to mark the target second power supply device;

[0028] The second target power supply equipment identification obtaining module is used to remove the first target power supply equipment identification from the power supply equipment identification to obtain the second target power supply equipment identification.

[0029] Optionally, the power supply link topology diagram generating module may include:

[0030] A resource wide table generating submodule, used to generate a resource wide table for the target second power supply device; the resource wide table is used to display the power supply path of the target second power supply device;

[0031] The power supply link topology map generating submodule is used to generate a power supply link topology map for the first power supply device and the second power supply device according to the topology structure relationship identifier and the second target power supply device identifier.

[0032] Optionally, the power supply link detection module may include:

[0033] A power supply device to be detected determining submodule, used to determine the power supply device to be detected from the power supply link topology diagram;

[0034] An attribute characteristic function acquisition submodule, used to acquire an attribute characteristic function for the power supply device to be detected;

[0035] An evaluation model training submodule, used for training an evaluation model using the attribute feature function;

[0036] The power supply link detection submodule is used to detect the power supply device to be detected by using the trained evaluation model.

[0037] The embodiment of the present invention further discloses 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;

[0038] The memory is used to store computer programs;

[0039] The processor is used to implement the method described in the embodiment of the present invention when executing the program stored in the memory.

[0040] The embodiment of the present invention further discloses a computer-readable storage medium having instructions stored thereon, which, when executed by one or more processors, enables the processors to execute the method described in the embodiment of the present invention.

[0041] The embodiments of the present invention include the following advantages:

[0042] The embodiment of the present invention generates a wide static data table for a first power supply device and a wide dynamic data table for a second power supply device; generates a power supply link topology map for the first power supply device and the second power supply device according to a topology structure relationship identifier and a power supply device identifier; and detects the power supply link based on the power supply link topology map, thereby ensuring that the power supply link topology map can be updated as the power supply link changes, avoiding manual maintenance of the part of the power supply link topology map that expresses the variable power supply device, thereby improving the efficiency of power supply link detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 is a flowchart of a method for detecting a power supply link provided in an embodiment of the present invention;

[0044] Figure 2 is a schematic diagram of an association analysis process for a power supply link provided in an embodiment of the present invention;

[0045] Figure 3 is a schematic diagram of a data transmission process for a power supply link provided in an embodiment of the present invention;

[0046] Figure 4 is a structural block diagram of a detection device for a power supply link provided in an embodiment of the present invention;

[0047] Figure 5 It is a hardware structure block diagram of an electronic device provided in each embodiment of the present invention. DETAILED DESCRIPTION

[0048] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0049] In actual applications, in the face of the inefficiency of manual inspection of power supply rooms, rising labor costs and aging problems, related technologies are also constantly exploring new intelligent maintenance models, such as the full-link security assessment of the power supply of the room based on static topology. The full-link security assessment technology of power supply introduces the ability to analyze the power supply topology of the room during the maintenance process, enabling operator maintenance personnel to perform differentiated maintenance of the room according to the importance of the business based on the actual situation of on-site power supply, rather than simply maintaining all rooms equally based on the station room as the maintenance unit.

[0050] In traditional communication rooms, the local dynamic environment monitoring system provides the data source for the full-link safety analysis of power supply. In large IDCs (Internet Data Centers), the group control system and HVAC system provide the data source for the full-link safety analysis of power supply. In base stations and access networks, the provincial-end convergence system provides the data source for the full-link safety analysis of power supply. The power supply performance data contained in these systems is similar. The full-link safety analysis function of power supply is to evaluate and match important business to high-specification maintenance modes through the association and analysis of the room data, as a basis for differentiated maintenance.

[0051] Therefore, the accuracy of data collection and the integrity of correlation in each dimension are the key to implementing the safety assessment of the entire power supply chain. Currently, the safety assessment of the entire power supply chain mainly obtains data through the following methods:

[0052] (1) Drawing import: including power supply design drawings during machine building construction, technical transformation and upgrade drawings, etc.

[0053] (2) Manual drawing: Provides standard drawing tools and uses drag-and-drop to complete configuration;

[0054] (3) Docking system: Obtaining device attributes collected in the existing system;

[0055] However, the current maintenance mode based on power supply topology has many difficulties in actual use, which has seriously affected the promotion of intensive intelligent maintenance.

[0056] The specific difficulties are as follows:

[0057] 1. The power supply topology is complex, the terminal power supply changes quickly, and the association is difficult to maintain.

[0058] With the development of cloud computing, 5G, the Internet of Things and other industries, the explosive growth of global data volume and data traffic has led to rapid business growth. The power supply protection methods of computer rooms, especially IDC computer rooms, are becoming more and more diverse, the terminal power supply change cycle is getting faster and faster, and the power supply association is becoming more and more difficult to maintain. For example, a computer room had only 30 business racks a few days ago, and 5 days later, it was fully loaded with 100 racks and was ready for power supply expansion. It is difficult for the operator's on-site maintenance personnel to quickly complete the power supply topology logic optimization and terminal power supply association information maintenance.

[0059] 2. The workload of manual drawing is huge, and it is difficult to ensure real-time updates.

[0060] Manual drawing provides standard drawing tools that need to support all types of equipment. There are many types of equipment, and the drag-and-drop method is point-by-point, which is complex to operate and has a low degree of automation. The core of full-link security assessment based on a single topology map is the accuracy of the topology map and the timeliness of real-time acquisition performance. The topology map formed by manual drawing needs to be manually completed by maintenance personnel. Even if there is a power supply relationship diagram imported during construction, the operator's maintenance personnel need to verify the accuracy one by one. The workload is huge, and real-time updates cannot be guaranteed, making it difficult to promote to all computer rooms.

[0061] 3. The analysis and modeling form is single and lacks flexibility.

[0062] In the era of mobile Internet, the number of high-computing servers has increased significantly, and the requirements for power supply stability are getting higher and higher. However, due to the complexity of the power supply topology configuration, the existing analysis form is relatively simple and cannot flexibly customize the configuration analysis.

[0063] Especially for the different requirements of various types of customers in IDC data centers, the fixed analysis method based on a single topology map can no longer support the various maintenance requirements of customers, and lacks the ability to control important business segments. For example, in the same computer room or even in the same rack, the power supply of some important racks is given priority protection, and some racks are not protected. The full-link security assessment based on a single topology map is in conflict with the current high requirements of customers.

[0064] That is, in the related art, the evaluation rules of the full-link safety evaluation method of the power supply topology are based on the attribute matching of the fixed topology drawing. The general safety rules include two aspects: 1) the current load and design capacity of the power supply equipment. Since the power supply structure of the terminal rack power supply link has changed due to capacity expansion, the power supply link will change frequently, so the evaluation of simple matching based on the power supply topology at the time of construction will become increasingly inaccurate over time. 2) The use of a fixed matching method alone will result in a large amount of manual workload and poor flexibility.

[0065] In summary, the current full-link security assessment method based on power supply topology has problems such as fixed associations that are difficult to maintain, huge workload for drawing diagrams, and a single form that lacks flexibility.

[0066] Therefore, the embodiment of the present invention distinguishes between relatively fixed power supply equipment and power supply equipment with a relatively high change rate, and introduces multiple dimensional data such as the importance of business in the maintenance process, the power supply protection mechanism throughout the process, the backup power supply, the historical power outages, and the UPS (Uninterruptible Power Supply) load balancing. It uses the supervised learning algorithm in machine learning to dynamically and automatically associate the topology map, realize the dynamic association of multiple dimensional data with the topology map data, and provide early warning in terms of power supply capacity, battery operating quality, air-conditioning environment, etc., to form an evaluation report, so that on-site maintenance personnel can discover hidden dangers in advance, quickly locate faults, and solve and restore important business in time.

[0067] Reference Figure 1 , shows a flowchart of a method for detecting a power supply link provided in an embodiment of the present invention, which may specifically include the following steps:

[0068] Step 101, generating a static data wide table for the first power supply device and a dynamic data wide table for the second power supply device;

[0069] Step 102: generating a power supply link topology map for the first power supply device and the second power supply device according to the topology structure relationship identifier and the power supply device identifier;

[0070] Step 103: Detect the power supply link based on the power supply link topology diagram.

[0071] In a specific implementation, the embodiments of the present invention can be applied to an intelligent operation and maintenance system AIOps (Artificial Intelligence for IT Operations). The intelligent operation and maintenance system can realize automated operation and maintenance work through machine learning based on existing operation and maintenance data (logs, monitoring information, application information, etc.).

[0072] The power supply link of an embodiment of the present invention may include 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, and the second power supply device is a power supply device other than the first power supply device. The embodiment of the present invention can generate a static data wide table for the first power supply device and a dynamic data wide table for the second power supply device.

[0073] The static data wide table may include a topology structure relationship identifier, and the topology structure relationship identifier may be used to express the association relationship between the first power supply devices.

[0074] In practical applications, the power supply equipment in a non-variable power supply link can be a power supply equipment that is unlikely to change the link relationship under normal operation. Optionally, the first power supply equipment of the embodiment of the present invention includes at least AC power relationship equipment, high and low voltage equipment, topology switches, and oil engine battery equipment. In order to simplify the complex full-link power supply relationship, the embodiment of the present invention can create a static data wide table for four relatively fixed types of equipment, namely, AC power relationship equipment, high and low voltage equipment, topology switches, and oil engine battery equipment. In addition to defining the most basic equipment name, type, manufacturer, capacity and other data, each wide table can also additionally define a topology structure relationship identifier TopologyID as a variable, which is used to identify the upper and lower links of the tree structure before each wide table, that is, to express the association relationship between the first power supply equipment.

[0075] Since the link relationship of the power supply equipment can be represented by a tree diagram, in the tree structure, the root node has no predecessor node, and each of the remaining nodes has one and only one predecessor node. The leaf node has no subsequent node, and the number of subsequent nodes of each of the remaining nodes can be one or more. In other words, the tree structure in mathematical statistics can represent hierarchical relationships, subordinate relationships, and parallel relationships. This relationship naturally conforms to the topological relationship in the power supply logical topology of the communication room where one power supply device supplies multiple business devices at the same time. The embodiment of the present invention can use the TopologyID variable to express the topological relationship of the entire power supply link.

[0076] For example: define and generate TopologyID: use a simple "1-2-3-***-1" tree description to identify the relationship, and fill it in the variable TopologyID. For example, the "mains power introduction" as the root node is the first layer, and the TopologyID is "1". If the computer room has two independent pilot introductions, the TopologyID of the second one is "2". The TopologyID of the first transformer of the first mains power is "1-1", and so on, gradually completing the TopologyID definition of the static data wide table.

[0077] Define the wide table of mains power relations: define the fields TopologyID, branch company, station name, power supply station, power supply line source, voltage level, household number, and whether it is a ring main unit.

[0078] Define the wide table of high and low voltage relationships: define the fields TopologyID, branch company, station name, field equipment name, code, type, rated capacity, and standby upstream relationship.

[0079] Define the wide table of topology switch relationships: define the fields TopologyID, branch, station name, switch name, code, switch location, type, rated capacity, upper connection relationship, and lower connection relationship.

[0080] Define the wide table of the relationship between the oil engine and the battery: define the fields TopologyID, branch company, station name, equipment name, code, upstream relationship, rated capacity, and oil engine / battery type.

[0081] The dynamic data wide table in the embodiment of the present invention may include a power supply device identifier, and the power supply device identifier may be used to mark a second power supply device, where the second power supply device is a power supply device other than the first power supply device.

[0082] In practical applications, the second power supply device may be a power supply device that needs to change the link relationship under normal operation. It can also be understood that the second power supply device is a power supply device other than the first power supply device in the power supply link.

[0083] In a specific implementation, the dynamic data wide table in the embodiment of the present invention may include a power supply device identifier, and the power supply device identifier is used to mark the second power supply device.

[0084] For example, after generating a dynamic data wide table, the field DyID (dynamic ID of the storage monitoring and acquisition device) can be read as the power supply equipment identification, which can include but is not limited to the device name, code, type, acquisition time, signal name, and real-time value of the acquisition signal of the second power supply equipment. A list of power supply equipment for real-time acquisition of the dynamic loop is formed, and the DyID is associated and changed using resource data, and finally corresponds to the power supply equipment identification in the static data wide table, and is combined with the first four types of static data wide tables.

[0085] After generating the static data wide table and the dynamic data wide table, the embodiment of the present invention can generate a power supply link topology map for the first power supply device and the second power supply device according to the topology structure relationship identifier and the power supply device identifier, and detect the power supply link based on the power supply link topology map.

[0086] The embodiment of the present invention generates a wide static data table for a first power supply device and a wide dynamic data table for a second power supply device; generates a power supply link topology map for the first power supply device and the second power supply device according to a topology structure relationship identifier and a power supply device identifier; and detects the power supply link based on the power supply link topology map, thereby ensuring that the power supply link topology map can be updated as the power supply link changes, avoiding manual maintenance of the part of the power supply link topology map that expresses the variable power supply device, thereby improving the efficiency of power supply link detection.

[0087] Based on the above embodiment, a variant embodiment of the above embodiment is proposed. It should be noted that in order to make the description concise, only the differences from the above embodiment are described in the variant embodiment.

[0088] 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 structure relationship identifier and the power supply device identifier, the step further includes:

[0089] Determine a target second power supply device from the second power supply device; the target second power supply device is a power supply device whose replacement frequency is higher than a preset threshold; the target second power supply device has a corresponding first target power supply device identifier; the first target power supply device identifier is used to mark the target second power supply device;

[0090] The first target power supply equipment identifier is removed from the power supply equipment identifier to obtain a second target power supply equipment identifier.

[0091] In actual applications, although the second power supply device is a power supply device that needs to change the link relationship, it also includes power supply devices that do not change frequently under normal circumstances. Such devices only need maintenance when they are cutover or expanded. Similarly, the second power supply device also includes power supply devices that need to change frequently. The embodiment of the present invention can use the frequently changed power supply device as the target second power supply device, so the embodiment of the present invention can use the power supply device with a replacement frequency higher than the preset threshold as the target second power supply device, and configure the corresponding first target power supply device identification for the target second power supply device to mark the target second power supply device with the first target power supply device identification, and before generating the power supply link topology map for the first power supply device and the second power supply device, remove the first target power supply device identification to avoid high-frequency updates of the power supply link topology map due to high-frequency changes of the target second power supply device, thereby reducing the computational pressure of the operation and maintenance system on power supply link detection.

[0092] 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 topology structure relationship identifier and the power supply device identifier, it also includes:

[0093] Determine a target second power supply device from the second power supply device; the target second power supply device is a power supply device whose replacement frequency is higher than a preset threshold; the target second power supply device has a corresponding first target power supply device identifier; the first target power supply device identifier is used to mark the target second power supply device;

[0094] The first target power supply equipment identifier is removed from the power supply equipment identifier to obtain a second target power supply equipment identifier.

[0095] From the above, it can be seen that in actual applications, if the target second power supply device is entered into the power supply link topology map, the computational pressure of the operation and maintenance system for power supply link detection will increase. Therefore, the embodiment of the present invention can generate a resource-wide table for displaying the power supply path of the target second power supply device, and generate a power supply link topology map for the first power supply device and the second power supply device based on the topology structure relationship identifier and the second target power supply device identifier.

[0096] For example:

[0097] TopologyID for the first power supply device: can be used to describe the relatively fixed large-scale backbone power supply network link topology in the computer room.

[0098] DyID for the second power supply equipment other than the target second power supply equipment: used to describe the power supply equipment (for example: UPS, switching power supply, 240V power supply) for monitoring and collection in the computer room.

[0099] PowRelation for the target second power supply device: used to describe the large number of terminal power supply units in the computer room, which will be dynamically updated in real time based on power-on and order work orders.

[0100] After completing the five wide tables, combined with the power consumption relationship attribute PowRelation of all professional equipment in the resource system, the terminal power supply unit is removed from the second power supply equipment. Based on the two attributes TopologyID and DyID, the system can automatically draw an end-to-end diagram of the entire power supply link from the mains to the business equipment.

[0101] The specific implementation process is as follows:

[0102] Automatically generate external mains power supply topology: take each external mains power supply as a root node, and search for "leaf" nodes downward according to the TopologyID field in turn to form an external mains power supply topology diagram.

[0103] Automatically generate high and low voltage topology: compare the TopologyID field in each high and low voltage device with the root node above one by one, and draw the high and low voltage topology diagram according to the matching tree relationship.

[0104] Automatically generate power supply equipment topology: Use the device coding field formed by the collected dynamic data wide table DyID to match the coding field in the high and low voltage topology diagram to form a combination of the dynamic data wide table and the static data wide table. Draw the power supply equipment topology diagram according to the tree relationship for the successfully matched power supply equipment, and mark the real-time latest voltage, current, and liability values.

[0105] Automatically generate the topology of the oil engine and battery: Use the two fields of TopologyID and equipment code to combine the dynamic oil engine startup, real-time collection of battery discharge attribute values, equipment static capacity, and topological relationship data to form a combination of the oil engine, battery, and dynamic table. The successful matches are associated in turn to draw the power supply equipment topology diagram according to the tree relationship, and the real-time startup status, discharge voltage and other dynamic numbers are marked on the topology diagram.

[0106] Automatically generate topology switch topology: Use the TopologyID, upper-link relationship, and lower-link relationship fields in the topology switch relationship wide table to enter the topology switch into the topology map for "inlaying", presenting the logical topology relationship of power supply protection, high-voltage bus coupling, low-voltage bus coupling, and 2N, and forming a tree-shaped topology map of the topology switch.

[0107] The embodiment of the present invention generates a resource-wide table for the target second power supply device; the resource-wide table is used to display the power supply path of the target second power supply device; and a power supply link topology map for the first power supply device and the second power supply device is generated according to the topology structure relationship identifier and the second target power supply device identifier, thereby realizing the use of the resource-wide table to replace the power supply link topology map, so that relevant technical personnel can view the entire power supply link without having to update the power supply link topology map at high frequency due to high-frequency changes of the target second power supply device, thereby reducing the computational pressure of the operation and maintenance system on power supply link detection.

[0108] In an optional embodiment of the present invention, the step of detecting the power supply link based on the power supply link topology diagram includes:

[0109] Determine the power supply device to be detected from the power supply link topology diagram;

[0110] Obtaining an attribute feature function for the power supply device to be detected;

[0111] Using the attribute feature function to train an evaluation model;

[0112] The trained evaluation model is used to detect the power supply device to be detected.

[0113] In a specific implementation, an embodiment of the present invention can use a multivariate linear regression method to analyze and evaluate the power supply equipment in the power supply link based on the power supply link topology map. Specifically, the power supply equipment to be detected can be determined from the power supply link topology map, and then the attribute feature function for the power supply equipment to be detected can be obtained, and the attribute feature function can be used to train an evaluation model, and then the trained evaluation model can be used to detect the power supply equipment to be detected.

[0114] For example, in the prediction of battery discharge time, the present invention combines multiple characteristic attributes such as outdoor temperature and humidity, multi-point temperature and humidity cloud maps in the computer room, computer room layout, battery discharge time, load changes, brand, age data, etc. to establish a mathematical model to observe the main related parameters that affect the battery discharge time, and finally build an evaluation model to predict the battery discharge time.

[0115] First: Assuming that this evaluation contains 6 feature attributes, its linear model is as follows:

[0116] 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

[0117] The attribute characteristic function is:

[0118]

[0119] Second: Use the machine learning library sklearn in the computer programming language python to model and solve

[0120] def train(x, y):

[0121] model=LinearRegression()

[0122] model.fit(x, y)

[0123] print("Weights are:", model.coef_)

[0124] print("Bias is:", model.intercept_)

[0125] print("Predicted duration of battery group 2:", model.predict(x[2,:].reshape(1,-1)))

[0126] print("The actual duration of the second battery group: ", y[2])

[0127] if __name__ == '__main__':

[0128] x,y = load_data()

[0129] train(x, y)

[0130] # Output:

[0131] #The weights are: [-1.08011358e-01, 4.64204584e-02, 2.05586264e-022.68673382e + 00, #-1.77666112e + 01,3.80986521e + 00]

[0132] #Bias: 27.35946838109201

[0133] #Predicted duration of battery group 2: [7.1]

[0134] #The actual duration of the second battery group: 7.3 hours.

[0135] The embodiment of the present invention determines the power supply equipment to be detected from the power supply link topology map; obtains the attribute feature function for the power supply equipment to be detected; uses the attribute feature function to train an evaluation model; and uses the trained evaluation model to detect the power supply equipment to be detected, thereby realizing the monitoring of the power supply link through machine learning and further improving the detection efficiency of the power supply link.

[0136] In order to enable those skilled in the art to better understand the embodiments of the present invention, a complete example is used below to illustrate the embodiments of the present invention.

[0137] refer to Figure 2 , Figure 2 is a schematic diagram of an association analysis process for a power supply link provided in an embodiment of the present invention;

[0138] Static wide table: Maintain 4 static wide tables of equipment in the computer room. The topological relationship of these equipment is generally relatively fixed when the office is established, and can be quickly established through TopologyID.

[0139] Dynamic wide table: Maintain a dynamic wide table, take automatic loop monitoring, the equipment generally does not change much, occasionally cutover or expansion requires maintenance, use TopologyID, DyID to quickly establish the relationship between static and resources

[0140] Resource bandwidth table: Maintain a terminal equipment resource bandwidth table. Compared with the first two tables, this table changes frequently, so it is not fixed by the topology map. Instead, the resource table information is used to automatically deduce its power supply path to save workload.

[0141] Machine learning: Use multivariate linear regression to analyze and evaluate, establish a mathematical model to observe the main related parameters that affect the battery discharge time, and finally build an evaluation model to predict the battery discharge time.

[0142] refer to Figure 3 , Figure 3 is a schematic diagram of a data transmission process for a power supply link provided in an embodiment of the present invention;

[0143] Maintenance personnel complete the input of four static tables through the WEB page. Each table contains a unique field of TopologyID and characteristic values ​​of each type of equipment.

[0144] Get the latest list of power supply equipment from dynamic environment monitoring, including: equipment name, code, type, dynamic environment ID, performance value, name of the computer room to which it belongs, to form a dynamic wide table, use the POST protocol to form an interface, and use the computer room name as an input parameter to call the power supply equipment in the same computer room.

[0145] The terminal power consumption information attributes and equipment static characteristic value attributes (including brand, age, manufacturer, capacity, etc.) are obtained from the resource system through the ODS-O interface, and DyID is used for association to merge with the static wide table and dynamic wide table into a complete full-link topology diagram.

[0146] The historical performance values ​​and current performance values ​​in the dynamic wide table are combined with the current full-link topology map as the training set of sklearn for training, and finally the performance values ​​of important equipment such as batteries and diesel engines are predicted. The full-link safety assessment results of the power supply in the computer room are obtained by predicting the current status of the equipment in the full link and the future operating capacity.

[0147] In practical applications, the embodiments of the present invention only need to upgrade and transform the on-site dynamic environment and resource system, and the on-site maintenance personnel will perform a one-time association on the static wide table data in the computer room, and perform very few associations on the dynamic data and resource data.

[0148] 1. Modification of static data entry by dynamic environment network management.

[0149] A new xls import interface associated with TopologyID needs to be added in the dynamic ring system, which mainly stores the basically fixed high and low voltage power supply link information, and associates it through the DyID in the dynamic relationship table of the power supply equipment collected in real time to form the topology of the power supply trunk line.

[0150] 2. Transformation of electricity consumption information fields by resource system data.

[0151] Add the DyID field of the resource system, combine it with the power consumption information attributes, automatically connect the terminal power supply association with the power supply trunk road topology, and the new city can automatically update the terminal power supply link.

[0152] 3. Transformation of external interface data of dynamic environment system.

[0153] By adding an external interface to the dynamic ring, the data can be analyzed and evaluated using the multivariate linear regression method through external computing power, and the evaluation results are then returned to the dynamic ring system for presentation.

[0154] Through the above steps, the embodiment of the present invention achieves the following beneficial effects.

[0155] 1) The existing technology has complex power supply topology, fast terminal power supply change cycle, and difficult to maintain association permanently. The embodiment of the present invention effectively divides the entire power supply link into three parts of data: basically fixed, slightly changing, and frequently changing, by using static wide table, dynamic wide table, and resource wide table. It uses the power consumption information data of the resource throughout its life cycle, combined with the dynamic ring data and the high and low voltage part topology information to automatically update the power supply topology structure association, eliminating the complicated manual maintenance workload and greatly improving the maintenance efficiency.

[0156] 2) The existing technical solutions require a huge workload of manual drawing, and it is difficult to ensure real-time updates. The embodiment of the present invention adopts the form of automatic drawing by the system, which can automatically combine the actual collected data of dynamic environment monitoring according to the generated topological relationship to draw a full-link topological map, without manual drawing, thus improving the level of automation.

[0157] 3) The existing solution analysis modeling is single and lacks flexibility. The embodiment of the present invention adopts a multi-dimensional analysis model, which can conveniently and flexibly adjust parameters and associated analysis weights, so that relevant technical personnel can combine the actual situation of on-site power distribution protection, current operating quality, etc., and perform differentiated maintenance on the computer room according to the importance of the business, and can realize flexible analysis of the power supply link, such as focusing on key computer rooms, monitoring key equipment and environment linkage, and timely push of abnormal points.

[0158] It should be noted that, for the sake of simplicity, the method embodiments are described as a series of action combinations, but those skilled in the art should be aware that the embodiments of the present invention are not limited by the order of the actions described, because according to the embodiments of the present invention, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions involved are not necessarily required by the embodiments of the present invention.

[0159] Reference Figure 4 , shows a structural block diagram of a detection device for a power supply link provided in an embodiment of the present invention, which may specifically include the following modules:

[0160] A data wide table generation module 401 is used to generate a static data wide table for the first power supply device and a dynamic data wide table for the second power supply device; the static data wide table includes a topology structure relationship identifier; the topology structure relationship identifier is used to express the association relationship between the first power supply devices; the dynamic data wide table includes a power supply device identifier, and the power supply device identifier is used to mark the second power supply device;

[0161] 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 structure relationship identifier and the power supply device identifier;

[0162] The power supply link detection module 403 is used to detect the power supply link based on the power supply link topology diagram.

[0163] Optionally, the first power supply equipment may at least include AC power equipment, high and low voltage equipment, a topology switch, and an oil engine battery equipment.

[0164] Optionally, it may also include:

[0165] A target second power supply device determination module, used to determine a target second power supply device from the second power supply devices; the target second power supply device is a power supply device whose replacement frequency is higher than a preset threshold; the target second power supply device has a corresponding first target power supply device identifier; the first target power supply device identifier is used to mark the target second power supply device;

[0166] The second target power supply equipment identification obtaining module is used to remove the first target power supply equipment identification from the power supply equipment identification to obtain the second target power supply equipment identification.

[0167] Optionally, the power supply link topology diagram generating module may include:

[0168] A resource wide table generating submodule, used to generate a resource wide table for the target second power supply device; the resource wide table is used to display the power supply path of the target second power supply device;

[0169] The power supply link topology map generating submodule is used to generate a power supply link topology map for the first power supply device and the second power supply device according to the topology structure relationship identifier and the second target power supply device identifier.

[0170] Optionally, the power supply link detection module may include:

[0171] A power supply device to be detected determining submodule, used to determine the power supply device to be detected from the power supply link topology diagram;

[0172] An attribute characteristic function acquisition submodule, used to acquire an attribute characteristic function for the power supply device to be detected;

[0173] An evaluation model training submodule, used for training an evaluation model using the attribute feature function;

[0174] The power supply link detection submodule is used to detect the power supply device to be detected by using the trained evaluation model.

[0175] As for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0176] In addition, an embodiment of the present invention further provides an electronic device, including: a processor, a memory, and a computer program stored in the memory and executable on the processor. When the computer program is executed by the processor, the various processes of the above-mentioned detection method embodiment for the power supply link are implemented, and the same technical effect can be achieved. To avoid repetition, it will not be described here.

[0177] The embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, each process of the above-mentioned detection method embodiment for a power supply link is implemented, and the same technical effect can be achieved. To avoid repetition, it is not repeated here. The computer-readable storage medium is, for example, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0178] Figure 5 A schematic diagram of the hardware structure of an electronic device for implementing various embodiments of the present invention.

[0179] 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 Figure 5 The electronic device structure shown in the figure does not constitute a limitation on the electronic device, and the electronic device may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently. In the embodiments of the present invention, the electronic device includes but is not limited to a mobile phone, a tablet computer, a laptop computer, a PDA, a vehicle-mounted terminal, a wearable device, and a pedometer.

[0180] It should be understood that in the embodiment of the present invention, the radio frequency unit 501 can be used for receiving and sending signals during information transmission or communication. Specifically, after receiving downlink data from the base station, it is sent to the processor 510 for processing; in addition, uplink data is sent to the base station. Generally, the 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, etc. In addition, the radio frequency unit 501 can also communicate with the network and other devices through a wireless communication system.

[0181] The electronic device provides users with wireless broadband Internet access through the network module 502, such as helping users to send and receive emails, browse web pages, and access streaming media.

[0182] The audio output unit 503 can convert the audio data received by the RF unit 501 or the network module 502 or stored in the memory 509 into an audio signal and output it as sound. Moreover, the audio output unit 503 can also provide audio output related to a specific function performed by the electronic device 500 (for example, a call signal reception sound, a message reception sound, etc.). The audio output unit 503 includes a speaker, a buzzer, a receiver, etc.

[0183] The input unit 504 is used to receive audio or video signals. The input unit 504 may include a graphics processor (GPU) 5041 and a microphone 5042. The graphics processor 5041 processes the image data of a static picture or video obtained by an image capture device (such as a camera) in a video capture mode or an image capture mode. The processed image frame can be displayed on the display unit 506. The image frame processed by the graphics processor 5041 can be stored in the memory 509 (or other storage medium) or sent via the radio frequency unit 501 or the network module 502. The microphone 5042 can receive sound and can process such sound into audio data. The processed audio data can be converted into a format output that can be sent to a mobile communication base station via the radio frequency unit 501 in the case of a telephone call mode.

[0184] The electronic device 500 also includes at least one sensor 505, such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor includes an ambient light sensor and a proximity sensor, wherein the ambient light sensor can adjust the brightness of the display panel 5061 according to the brightness of the ambient light, and the proximity sensor can turn off the display panel 5061 and / or the backlight when the electronic device 500 is moved to the ear. As a type of motion sensor, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally three axes), and can detect the magnitude and direction of gravity when stationary, which can be used to identify the posture of the electronic device (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer, tapping), etc.; the sensor 505 can 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 repeated here.

[0185] 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, which may be configured in the form of a liquid crystal display (LCD), an organic light-emitting diode (OLED), or the like.

[0186] The user input unit 507 can be used to receive input digital or character information, and to generate key signal input 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. The touch panel 5071, also known as a touch screen, can collect the user's touch operation on or near it (such as the user's operation on the touch panel 5071 or near the touch panel 5071 using any suitable object or accessory such as a finger, stylus, etc.). The touch panel 5071 may include two parts: a touch detection device and a touch controller. Among them, the touch detection device detects the user's touch orientation, detects the signal brought by the touch operation, and transmits the signal to the touch controller; the touch controller receives the touch information from the touch detection device, converts it into the contact point coordinates, and then sends it to the processor 510, receives the command sent by the processor 510 and executes it. In addition, the touch panel 5071 can be implemented in various types such as resistive, capacitive, infrared and surface acoustic waves. In addition to the touch panel 5071, the user input unit 507 may also include other input devices 5072. Specifically, other input devices 5072 may include but are not limited to a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, and a joystick, which are not described in detail here.

[0187] Furthermore, the touch panel 5071 may be overlaid on the display panel 5061. When the touch panel 5071 detects a touch operation on or near it, it transmits the information to the processor 510 to determine the type of the touch event. Then, the processor 510 provides a corresponding visual output on the display panel 5061 according to the type of the touch event. Figure 5 In the figure, the touch panel 5071 and the display panel 5061 are used as two independent components to realize the input and output functions of the electronic device. However, in some embodiments, the touch panel 5071 and the display panel 5061 can be integrated to realize the input and output functions of the electronic device, which is not limited here.

[0188] The interface unit 508 is an interface for connecting an external device to the electronic device 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 with an identification module, an audio input / output (I / O) port, a video I / O port, a headphone port, etc. The interface unit 508 may be used to receive input (e.g., data information, power, etc.) from an external device and transmit the received input to one or more elements within the electronic device 500 or may be used to transmit data between the electronic device 500 and an external device.

[0189] The memory 509 can be used to store software programs and various data. The memory 509 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area can store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory 509 can include a high-speed random access memory, and can also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0190] The processor 510 is the control center of the electronic device. It uses various interfaces and lines to connect various parts of the entire electronic device. By running or executing software programs and / or modules stored in the memory 509 and calling data stored in the memory 509, it performs various functions of the electronic device and processes data, thereby monitoring the electronic device as a whole. The processor 510 may include one or more processing units; preferably, the processor 510 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface, and application programs, and the modem processor mainly processes wireless communications. It is understandable that the above-mentioned modem processor may not be integrated into the processor 510.

[0191] The electronic device 500 may also include a power supply 511 (such as a battery) for supplying power to each component. Preferably, the power supply 511 may be logically connected to the processor 510 through a power management system, thereby implementing functions such as charging, discharging, and power consumption management through the power management system.

[0192] In addition, the electronic device 500 includes some functional modules not shown, which will not be described in detail here.

[0193] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0194] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for enabling a terminal (which can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

[0195] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation modes, which are merely illustrative rather than restrictive. Under the guidance of the present invention, ordinary technicians in this field can also make many forms without departing from the scope of protection of the present invention and the claims, all of which are within the protection of the present invention.

[0196] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed in the embodiments of the present invention can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0197] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0198] In the embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0199] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0200] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0201] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, ROM, RAM, magnetic disks, or optical disks.

[0202] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A detection method for a power supply link, characterized in that: 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-variable power supply link, and the second power supply device is a power supply device other than the first power supply device, and the method includes: Generate a static data wide table for the first power supply device and a dynamic data wide table for the second power supply device; the static data wide table includes a topology structure relationship identifier; the topology structure relationship identifier is used to express the association relationship between the first power supply devices; the dynamic data wide table includes a power supply device identifier, and the power supply device identifier is used to mark the second power supply device; Generate a power supply link topology map for the first power supply device and the second power supply device according to the topology structure relationship identifier and the power supply device identifier; Detecting the power supply link based on the power supply link topology diagram; Wherein, the step of detecting the power supply link based on the power supply link topology diagram includes: Determine the power supply device to be detected from the power supply link topology diagram; Obtaining an attribute feature function for the power supply device to be detected; Using the attribute feature function to train an evaluation model; The trained evaluation model is used to detect the power supply device to be detected.

2. The method according to claim 1, characterized in that The first power supply equipment at least includes mains-related equipment, high and low voltage equipment, a topology switch, and an oil-engine battery device.

3. The method according to claim 1, characterized in that 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 structure relationship identifier and the power supply device identifier, the method further includes: Determine a target second power supply device from the second power supply device; the target second power supply device is a power supply device whose replacement frequency is higher than a preset threshold; the target second power supply device has a corresponding first target power supply device identifier; the first target power supply device identifier is used to mark the target second power supply device; The first target power supply equipment identifier is removed from the power supply equipment identifier to obtain a second target power supply equipment identifier.

4. The method according to claim 3, characterized in that: 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 structure relationship identifier and the power supply device identifier comprises: Generate a resource width table for the target second power supply device; the resource width table is used to display the power supply path of the target second power supply device; A power supply link topology map for the first power supply device and the second power supply device is generated according to the topology structure relationship identifier and the second target power supply device identifier.

5. A detection device for a power supply link, characterized in that: 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-variable power supply link, and the second power supply device is a power supply device other than the first power supply device, and the apparatus includes: A data wide table generation module, used to generate a static data wide table for the first power supply device and a dynamic data wide table for the second power supply device; the static data wide table includes a topology structure relationship identifier; the topology structure relationship identifier is used to express the association relationship between the first power supply devices; the dynamic data wide table includes a power supply device identifier, and the power supply device identifier is used to mark the second power supply device; A power supply link topology map generating module, 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 structure relationship identifier and the power supply device identifier; A power supply link detection module, used to detect the power supply link based on the power supply link topology diagram; Wherein, the power supply link detection module includes: A power supply device to be detected determining submodule, used to determine the power supply device to be detected from the power supply link topology diagram; An attribute characteristic function acquisition submodule, used to acquire an attribute characteristic function for the power supply device to be detected; An evaluation model training submodule, used for training an evaluation model using the attribute feature function; The power supply link detection submodule is used to detect the power supply device to be detected by using the trained evaluation model.

6. The device according to claim 5, characterized in that The first power supply equipment at least includes mains-related equipment, high and low voltage equipment, a topology switch, and an oil-engine battery device.

7. The device according to claim 5, characterized in that Also includes: A target second power supply device determining module, used to determine a target second power supply device from the second power supply devices; The target second power supply device is a power supply device whose replacement frequency is higher than a preset threshold; The target second power supply device has a corresponding first target power supply device identifier; the first target power supply device identifier is used to mark the target second power supply device; The second target power supply equipment identification obtaining module is used to remove the first target power supply equipment identification from the power supply equipment identification to obtain the second target power supply equipment identification.

8. The device according to claim 7, characterized in that The power supply link topology diagram generating module comprises: A resource wide table generating submodule, used to generate a resource wide table for the target second power supply device; the resource wide table is used to display the power supply path of the target second power supply device; The power supply link topology map generating submodule is used to generate a power supply link topology map for the first power supply device and the second power supply device according to the topology structure relationship identifier and the second target power supply device identifier.

9. An electronic device, characterized in that: It includes a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus; The memory is used to store computer programs; The processor is used to implement the method according to any one of claims 1 to 4 when executing the program stored in the memory.

10. 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 any one of claims 1 to 4.

Images