Distribution network operation optimization and control method and system based on multi-source heterogeneous data fusion

Abstract

The invention relates to the technical field of distribution networks, and discloses a distribution network operation optimization and control method and system based on multi-source heterogeneous data fusion, and the method comprises the steps: determining a direct distribution network scheme according to multi-source heterogeneous data and multi-mode operation information when to-be-distributed network equipment meets an abnormal distribution network execution condition, executing corresponding network distribution control operation on the equipment to be subjected to network distribution; and when the equipment to be subjected to network distribution meets the abnormal network distribution execution condition, determining target additional control equipment and an indirect network distribution scheme according to the multi-source heterogeneous data and the multi-modal operation information, and further executing corresponding network distribution regulation and control optimization operation on the equipment to be subjected to network distribution and the target additional control equipment. Therefore, the comprehensiveness, integrity, rationality, diversity, flexibility and pertinence of the distribution network operation optimization and control mode can be improved, the accuracy, reliability, efficiency and convenience of the distribution network operation optimization and control of the equipment are improved, and the operation stability, safety and timeliness of the distribution network of the equipment are improved.

Description

Technical Field

[0001] The present invention relates to the field of distribution network technology, and in particular to a distribution network operation optimization and control method and system based on multi-source heterogeneous data fusion. Background Art

[0002] With the rapid development of Internet of Things technology, device networking has become a key link in connecting smart devices to the cloud. The device networking method not only determines whether smart devices can successfully access the network, but also directly affects the subsequent operating efficiency and stability of the devices.

[0003] Currently, the main method for device network configuration is for the system to perform conventional network configuration control operations on the networked devices using conventional and unified network configuration parameters. If the network configuration of the device is unsuccessful, the system will determine that the device cannot be networked and operated. Based on this, the system will generally directly perform network configuration operations on the next device, or the system will continue to control the device to repeat the same network configuration attempt, wasting time. In addition, the reason for the failure of device network configuration is affected by many factors. To a certain extent, even the network configuration results formed by the same network configuration device and the same network configuration parameters will vary. Therefore, the existing device network configuration method has low network configuration accuracy and network configuration efficiency. It can be seen that it is particularly important to provide a device network configuration optimization and control method that improves the network configuration accuracy and efficiency of the device. Summary of the Invention

[0004] The present invention provides a distribution network operation optimization and control method and system based on multi-source heterogeneous data fusion, which can improve the distribution network operation accuracy and distribution network operation efficiency of equipment.

[0005] In order to solve the above technical problems, the first aspect of the present invention discloses a distribution network operation optimization and control method based on multi-source heterogeneous data fusion, the method comprising:

[0006] Determine the network equipment to be configured that requires network configuration control, and determine the multi-source heterogeneous data and multi-modal operation information corresponding to the network equipment to be configured;

[0007] Determining whether the device to be networked meets a preset abnormal network configuration execution condition based on the multi-source heterogeneous data and the multi-modal operation information;

[0008] When it is determined that the device to be networked does not meet the abnormal network configuration execution condition, a direct network configuration solution corresponding to the device to be networked is determined based on the multi-source heterogeneous data and the multimodal operation information; and corresponding network configuration control operations are performed on the device to be networked according to the direct network configuration solution.

[0009] When it is determined that the device to be networked meets the abnormal network configuration execution condition, the target additional control device that needs to be additionally controlled for network configuration is determined based on the multi-source heterogeneous data and the multi-modal operation information; the indirect network configuration scheme corresponding to the device to be networked and the target additional control device is determined based on the multi-source heterogeneous data and the multi-modal operation information; and according to the indirect network configuration scheme, corresponding network configuration control optimization operations are performed on the device to be networked and the target additional control device.

[0010] The second aspect of the present invention discloses a distribution network operation optimization and control system based on multi-source heterogeneous data fusion, the system comprising:

[0011] A determination module is used to determine the network equipment to be configured that requires network configuration control, and to determine the multi-source heterogeneous data and multi-modal operation information corresponding to the network equipment to be configured;

[0012] A judgment module, configured to judge whether the to-be-connected network device meets a preset abnormal network connection execution condition based on the multi-source heterogeneous data and the multi-modal operation information;

[0013] A direct network configuration module is configured to determine, when the judgment module determines that the device to be configured does not meet the abnormal network configuration execution condition, a direct network configuration scheme corresponding to the device to be configured based on the multi-source heterogeneous data and the multimodal operation information; and perform corresponding network configuration control operations on the device to be configured according to the direct network configuration scheme;

[0014] The indirect network distribution module is used to determine, when the judgment module determines that the device to be networked meets the abnormal network distribution execution condition, the target additional control device that needs to be additionally controlled according to the multi-source heterogeneous data and the multimodal operation information; determine the indirect network distribution scheme corresponding to the device to be networked and the target additional control device according to the multi-source heterogeneous data and the multimodal operation information; and perform corresponding network distribution control optimization operations on the device to be networked and the target additional control device according to the indirect network distribution scheme.

[0015] As an optional embodiment, in the second aspect of the present invention, the indirect network distribution module determines the target additional control device requiring additional network distribution control based on the multi-source heterogeneous data and the multimodal operation information, specifically including:

[0016] Determining basic network configuration requirement information of the device to be networked based on the multi-source heterogeneous data and the multi-modal operation information;

[0017] Determining, based on the basic network configuration requirement information, additional conditions for the device to be configured to perform the expected network configuration operation;

[0018] When the additional condition is used to indicate that the expected network configuration is already occupied, one or more network-configured devices are determined based on the network-configured devices and the determined current system network configuration data; based on the basic network configuration requirement information and the determined network configuration information of each of the network-configured devices, the network configuration priority corresponding to all the network-configured devices for the network configuration matching level and the network stability level is determined; based on the network configuration priority and all the network-configured devices, target additional control devices that require additional network configuration regulation are determined;

[0019] When the additional condition is used to indicate that additional equipment is required to cooperate in network distribution, the demand joint network distribution equipment corresponding to the device to be distributed is determined according to the basic network distribution configuration requirement information, and the current state of the device to be distributed is determined; the first self-distribution task corresponding to the demand joint network distribution equipment is determined, and the second joint network distribution task corresponding to the demand joint network distribution equipment is determined according to the basic network distribution configuration requirement information; the target additional control device that needs additional network distribution regulation is determined according to the current state of the device to be distributed, the first self-distribution task and the second joint network distribution task.

[0020] As an optional embodiment, in the second aspect of the present invention, the indirect network distribution module determines the target additional control device requiring additional network distribution control based on the current network state to be distributed, the first self-distribution network task, and the second joint network distribution task, specifically including:

[0021] When the current state of the network to be configured is idle and there is no network configuration task, the demand joint network configuration device is determined as a target additional control device requiring additional network configuration control;

[0022] When the current state of the network to be distributed is the state of waiting for distribution execution, the first self-distribution task and the second joint distribution task are used to determine whether the demand joint distribution device meets the preset original distribution execution conditions; when it is determined that the demand joint distribution device meets the original distribution execution conditions, the demand joint distribution device is determined as the target additional control device that requires additional distribution regulation; when it is determined that the demand joint distribution device does not meet the original distribution execution conditions, the target distribution replacement object is determined according to the first self-distribution task and the second joint distribution task, and the target distribution replacement object is used to replace the demand joint distribution device to perform the first self-distribution task or the second joint distribution task; based on the target distribution replacement object and the demand joint distribution device, the target additional control device that requires additional distribution regulation is determined.

[0023] As an optional implementation manner, in the second aspect of the present invention, the indirect network distribution module determines the target network distribution replacement object according to the first self-network distribution task and the second joint network distribution task, specifically including:

[0024] Determining a first execution specificity based on the first self-network distribution task and the required joint network distribution device, and determining a second execution specificity based on the second joint network distribution task and the required joint network distribution device;

[0025] When the first execution specificity is greater than or equal to the second execution specificity, determining, according to the second joint network distribution task, a first target device capable of performing the second joint network distribution task as a target network distribution substitute object, wherein the target network distribution substitute object is used to replace the second joint network distribution task;

[0026] When the first execution specificity is less than the second execution specificity, a second target device capable of executing the first self-network distribution task is determined according to the first self-network distribution task as a target network distribution substitute object, wherein the demand joint network distribution device is used to replace the execution of the second joint network distribution task, and the target network distribution substitute object is used to replace the execution of the first self-network distribution task.

[0027] As an optional embodiment, in the second aspect of the present invention, the indirect network distribution module determines the target additional control device that requires additional network distribution control based on the network distribution priority and all the configured network devices, specifically including:

[0028] According to the network configuration priority, determining a third target device that meets a preset primary network configuration occupation condition from all the network configuration devices;

[0029] According to the determined current network distribution operation status of the third target device, determining whether the third target device meets a preset network distribution change execution condition;

[0030] When it is determined that the third target device meets the network distribution change execution condition, determining the third target device as a target additional control device requiring additional network distribution control;

[0031] When it is determined that the third target device does not meet the network distribution change execution condition, according to the network distribution priority, a fourth target device that meets the preset secondary network distribution occupation condition is determined from all the networked devices; based on the fourth target device, a target additional control device that needs additional network distribution regulation is determined.

[0032] As an optional embodiment, in the second aspect of the present invention, the indirect network distribution module determines whether the third target device meets the preset network distribution change execution condition based on the determined current network distribution operation status of the third target device, including:

[0033] According to the determined current network distribution operation state of the third target device, determining whether the third target device meets a preset active demand network distribution change condition;

[0034] When it is determined that the third target device meets the active demand network configuration change condition, determining that the third target device meets the preset network configuration change execution condition;

[0035] When it is determined that the third target device does not meet the active demand network configuration change condition, judging whether the third target device meets a preset passive change network configuration condition according to the current network configuration operation state;

[0036] When it is determined that the third target device meets the condition for passively changing the network configuration, determining that the third target device meets a preset network configuration change execution condition;

[0037] When it is determined that the third target device does not meet the condition for passively changing the network configuration, it is determined that the third target device does not meet the preset network configuration change execution condition.

[0038] As an optional embodiment, in the second aspect of the present invention, the judgment module judges whether the to-be-configured network device meets the preset abnormal network configuration execution condition based on the multi-source heterogeneous data and the multimodal operation information, specifically including:

[0039] Determine expected network configuration parameters and phenomena corresponding to the device to be configured, and determine actual network configuration parameters and phenomena corresponding to the device to be configured, based on the multi-source heterogeneous data and the multi-modal operation information;

[0040] According to the expected network configuration parameters and phenomena and the actual network configuration parameters and phenomena, determining whether the device to be configured satisfies a preset direct network configuration trigger condition;

[0041] When it is determined that the device to be networked meets the direct network configuration triggering condition, determining that the device to be networked does not meet the preset abnormal network configuration execution condition;

[0042] When it is determined that the device to be networked does not meet the direct network configuration triggering condition, judging whether the device to be networked meets the preset conditional network configuration execution condition based on the expected network configuration parameters and phenomena and the actual network configuration parameters and phenomena;

[0043] When it is determined that the device to be networked meets the conditional network configuration execution condition, it is determined that the device to be networked meets the preset abnormal network configuration execution condition.

[0044] As an optional embodiment, in the second aspect of the present invention, the indirect network distribution module determines the indirect network distribution scheme corresponding to the to-be-connected network device and the target additional control device based on the multi-source heterogeneous data and the multimodal operation information, specifically including:

[0045] Determine, based on the multi-source heterogeneous data and the multimodal operation information, a third self-network configuration task and a fourth joint network configuration task corresponding to the to-be-configured network device, and determine a current network configuration task status of the target additional control device;

[0046] When the current network configuration task status indicates that no network configuration task currently exists for the target additional control device, performing a corresponding network configuration task binding operation on the device to be configured based on the third self-network configuration task and performing a corresponding network configuration task binding operation on the target additional control device based on the fourth joint network configuration task, to obtain an indirect network configuration solution corresponding to the device to be configured and the target additional control device;

[0047] When the current network distribution task status is used to indicate that the target additional control device currently has a network distribution task, determine the fifth self-network distribution task of the target additional control device; according to the fourth joint network distribution task and the fifth self-network distribution task, perform the corresponding network distribution task independent execution sequence adjustment operation or perform the corresponding network distribution task unified fusion adjustment operation to obtain the sixth comprehensive coordination task of the target additional control device; based on the third self-network distribution task, perform the corresponding network distribution task binding operation on the device to be configured and based on the sixth comprehensive coordination task, perform the corresponding network distribution task binding operation on the target additional control device to obtain the indirect network distribution scheme corresponding to the device to be configured and the target additional control device.

[0048] The third aspect of the present invention discloses another distribution network operation optimization and control system based on multi-source heterogeneous data fusion, the system comprising:

[0049] a memory storing executable program code;

[0050] a processor coupled to the memory;

[0051] The processor calls the executable program code stored in the memory to execute the distribution network operation optimization and control method based on multi-source heterogeneous data fusion disclosed in the first aspect of the present invention.

[0052] The fourth aspect of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the distribution network operation optimization and control method based on multi-source heterogeneous data fusion disclosed in the first aspect of the present invention.

[0053] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0054] In an embodiment of the present invention, a network device to be configured that requires network distribution control is determined, and multi-source heterogeneous data and multi-modal operation information corresponding to the network device to be configured are determined; based on the multi-source heterogeneous data and the multi-modal operation information, it is determined whether the network device to be configured meets a preset abnormal network distribution execution condition; when it is determined that the network device to be configured does not meet the abnormal network distribution execution condition, a direct network distribution solution corresponding to the network device to be configured is determined based on the multi-source heterogeneous data and the multi-modal operation information; based on the direct network distribution solution, a corresponding network distribution control operation is performed on the network device to be configured; when it is determined that the network device to be configured meets the abnormal network distribution execution condition, a target additional control device requiring additional network distribution control is determined based on the multi-source heterogeneous data and the multi-modal operation information; based on the multi-source heterogeneous data and the multi-modal operation information, an indirect network distribution solution corresponding to the network device to be configured and the target additional control device is determined; based on the indirect network distribution solution, a corresponding network distribution control optimization operation is performed on the network device to be configured and the target additional control device. It can be seen that the present invention can determine the satisfaction of the abnormal network distribution execution conditions of the equipment to be networked based on multi-source heterogeneous data and multi-modal operation information, and match the corresponding network distribution operation optimization and control methods for the equipment to be networked that meets the abnormal network distribution execution conditions and for the equipment to be networked that does not meet the abnormal network distribution execution conditions, which is beneficial to improving the comprehensiveness, integrity and rationality of the network distribution operation optimization and control methods, as well as improving the diversity, flexibility and pertinence of the network distribution operation optimization and control methods, and thus is beneficial to improving the accuracy and reliability of the network distribution operation optimization and control of the equipment, as well as improving the efficiency and convenience of the network distribution operation optimization and control of the equipment, thereby improving the stability and safety of the equipment network distribution operation, and improving the timeliness of the equipment network distribution optimization. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0056] Figure 1 This is a flow chart of a distribution network operation optimization and control method based on multi-source heterogeneous data fusion disclosed in an embodiment of the present invention;

[0057] Figure 2 This is a flow chart of another distribution network operation optimization and control method based on multi-source heterogeneous data fusion disclosed in an embodiment of the present invention;

[0058] Figure 3 Schematic diagram of the structure of the distribution network operation optimization and control system based on multi-source heterogeneous data fusion disclosed in an embodiment of the present invention;

[0059] Figure 4 This is a structural diagram of another distribution network operation optimization and control system based on multi-source heterogeneous data fusion disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0060] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0061] The terms "first," "second," and so on, in the description and claims of the present invention and the accompanying drawings are used to distinguish between different items, not to describe a specific order. Furthermore, the terms "including," "having," and any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, apparatus, product, or end comprising a series of steps or elements is not limited to the listed steps or elements but may optionally include steps or elements not listed therein, or may optionally include other steps or elements inherent to such process, method, product, or end.

[0062] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present invention. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute a separate or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0063] The present invention discloses a distribution network operation optimization and control method and system based on multi-source heterogeneous data fusion, which can determine the satisfaction of abnormal distribution network execution conditions of the equipment to be distributed based on multi-source heterogeneous data and multi-modal operation information, and match corresponding distribution network operation optimization and control methods for the equipment to be distributed that meets the abnormal distribution network execution conditions and for the equipment to be distributed that does not meet the abnormal distribution network execution conditions. This is conducive to improving the comprehensiveness, integrity and rationality of the distribution network operation optimization and control methods, as well as the diversity, flexibility and pertinence of the distribution network operation optimization and control methods, thereby facilitating the improvement of the accuracy and reliability of the equipment's distribution network operation optimization and control, as well as the improvement of the efficiency and convenience of the equipment's distribution network operation optimization and control, thereby facilitating the improvement of the stability and safety of the equipment's distribution network operation, and facilitating the improvement of the timeliness of the equipment's distribution network optimization. Detailed descriptions are given below.

[0064] Example 1

[0065] See also Figure 1 , Figure 1 This is a flow chart of a distribution network operation optimization and control method based on multi-source heterogeneous data fusion disclosed in an embodiment of the present invention. Figure 1 The described method can be applied to a distribution network operation optimization and control system, wherein the system may include a server, wherein the server includes a local server or a cloud server, which is not limited in the embodiment of the present invention. Figure 1 As shown, the distribution network operation optimization and control method based on multi-source heterogeneous data fusion includes the following operations:

[0066] 101. Determine the network equipment to be configured that requires network configuration control, and determine the multi-source heterogeneous data and multi-modal operation information corresponding to the network equipment to be configured.

[0067] Optionally, multi-source heterogeneous data may include, but is not limited to, one or more of database data, file system data, real-time stream data, API data, log data, other data sources, etc., and is not limited in the embodiment of the present invention.

[0068] Furthermore, database data may include but is not limited to relational database data, non-relational database data, etc.; relational databases: such as MySQL, PostgreSQL, etc., these databases are usually used to store structured data, such as basic information of the device, operating parameters, etc.; non-relational databases: such as MongoDB, Redis, etc., these databases are more suitable for storing semi-structured and unstructured data, such as device log files, operating status monitoring data, etc., which are not limited in the embodiments of the present invention.

[0069] Furthermore, file system data may include but is not limited to local file system data, network file system data, etc.; local file system: data files stored on the local computer, such as table data in formats such as CSV and Excel; network file system: file data shared through the network, which may come from a remote server or cloud storage, and is not limited in the embodiments of the present invention.

[0070] Furthermore, real-time streaming data may include but is not limited to data from sensors, data from IoT devices, etc.; data from sensors: such as temperature sensors, humidity sensors, current sensors, etc., these data are usually used to monitor the operating status of the equipment in real time; data from IoT devices: such as smart meters, smart switches, etc., these data can reflect the power consumption, switch status, etc. of the equipment, which is not limited in the embodiments of the present invention.

[0071] Furthermore, API data may include but is not limited to data obtained through various application programming interfaces, such as weather API, geographic location API, etc. These data can be used to analyze the operating environment or location information of the device, and are not limited in the embodiments of the present invention.

[0072] Furthermore, log data may include but is not limited to log files from systems, applications, servers, etc., which record key operations and event information, such as device startup, shutdown, fault alarms, etc., which are not limited in the embodiments of the present invention.

[0073] Furthermore, other data sources may include but are not limited to internal enterprise data (such as ERP systems, CRM systems, etc.), open data (such as government data, public data sets, etc.), social media data (such as text, images, videos, etc.) and geospatial data (such as map data, geographic tags, etc.). These data may play an auxiliary role in the operation and management of distribution network equipment, such as analyzing equipment usage, predicting equipment failures, etc., which are not limited in the embodiments of the present invention.

[0074] Optionally, the multimodal operation information may be information that can reflect the device status, operating parameters and performance of the device to be networked. Specifically, it may include but is not limited to basic equipment information (such as equipment model and specifications, factory test data, etc.), real-time operating parameters (such as voltage and current data, power factor information, temperature information, etc.), historical operation data (such as historical fault data, historical maintenance data, etc.), equipment status monitoring information (such as online monitoring data, offline monitoring data, etc.), other relevant information (such as load change information, environmental information, safety performance information, etc.) and other information that can reflect the operating status of the device to be networked, etc., and the embodiments of the present invention are not limited thereto.

[0075] 102. Based on the multi-source heterogeneous data and multi-modal operation information, determine whether the network equipment to be configured meets the preset abnormal network configuration execution conditions. When the judgment result is yes, execute step 104; when the judgment result is no, execute step 103.

[0076] Optionally, for example: when the device to be configured is currently capable of directly performing network configuration and connection operation, it is determined that the device to be configured does not meet the abnormal network configuration execution conditions; when the device to be configured currently needs to perform network configuration operations in conjunction with other devices (such as adjusting the network configuration of other devices, etc.), it is determined that the device to be configured meets the abnormal network configuration execution conditions, and the embodiments of the present invention do not limit this.

[0077] 103. Determine the direct network configuration plan corresponding to the equipment to be configured based on multi-source heterogeneous data and multi-modal operation information; and perform corresponding network configuration control operations on the equipment to be configured based on the direct network configuration plan.

[0078] Optionally, the direct network configuration solution can be understood as: only the network configuration parameters of the device to be configured need to be determined, and the device to be configured can be directly controlled to connect to the network for operation without linking other devices for adjustment. This embodiment of the present invention does not limit this.

[0079] 104. Based on multi-source heterogeneous data and multi-modal operation information, determine the target additional control equipment that needs additional distribution network regulation; based on multi-source heterogeneous data and multi-modal operation information, determine the indirect distribution network plan corresponding to the equipment to be distributed and the target additional control equipment; based on the indirect distribution network plan, perform corresponding distribution network regulation optimization operations on the equipment to be distributed and the target additional control equipment.

[0080] Optionally, the target additional control device that needs to be additionally controlled for network configuration regulation may be, for example, a device to be configured needs to be linked with other devices for network configuration, which is not limited in the embodiment of the present invention.

[0081] An optional indirect network configuration solution is illustrated as follows: network configuration operations are performed on the network configuration equipment and linked network configuration operations are performed on the target additional control equipment. For the network configuration equipment, network configuration adjustments can be linked, and for the unnetwork configuration equipment, network configuration operations can be linked. This is not limited in the embodiments of the present invention.

[0082] It can be seen that the distribution network operation optimization and control method based on multi-source heterogeneous data fusion described in the embodiment of the present invention can determine the satisfaction of the abnormal distribution network execution conditions of the equipment to be equipped with the network according to multi-source heterogeneous data and multi-modal operation information, and match the corresponding distribution network operation optimization and control methods for the equipment to be equipped with the network satisfying the abnormal distribution network execution conditions and for the equipment to be equipped with the network not satisfying the abnormal distribution network execution conditions, which is conducive to improving the comprehensiveness, integrity and rationality of the distribution network operation optimization and control methods, and is conducive to improving the diversity, flexibility and pertinence of the distribution network operation optimization and control methods, and thus is conducive to improving the accuracy and reliability of the equipment's distribution network operation optimization and control, and is conducive to improving the efficiency and convenience of the equipment's distribution network operation optimization and control, thereby helping to improve the stability and safety of the equipment's distribution network operation, and is conducive to improving the timeliness of the equipment's distribution network optimization.

[0083] In an optional embodiment, the above-mentioned determination of target additional control devices requiring additional distribution network regulation based on multi-source heterogeneous data and multi-modal operation information may include:

[0084] Determine the basic network configuration requirements of the equipment to be networked based on multi-source heterogeneous data and multi-modal operation information;

[0085] Determine the additional conditions for the expected network configuration operation of the network equipment to be configured based on the basic network configuration requirements information;

[0086] When the additional condition is used to indicate that the expected network configuration is already occupied, one or more network-configured devices are determined based on the network-configured devices and the determined current system network configuration data; based on the basic network configuration requirement information and the determined network configuration information of each network-configured device, the network configuration priority corresponding to all network-configured devices in terms of network configuration matching level and network stability level is determined; based on the network configuration priority and all network-configured devices, the target additional control devices that require additional network configuration regulation are determined;

[0087] When additional conditions are used to indicate the need for additional equipment to cooperate in network distribution, the demand joint network distribution equipment corresponding to the equipment to be distributed is determined based on the basic network distribution configuration requirement information, and the current state of the demand joint network distribution equipment to be distributed is determined; the first self-distribution task corresponding to the demand joint network distribution equipment is determined, and the second joint network distribution task corresponding to the demand joint network distribution equipment is determined based on the basic network distribution configuration requirement information; based on the current state of the network to be distributed, the first self-distribution task and the second joint network distribution task, the target additional control equipment that needs additional network distribution regulation is determined.

[0088] Optionally, the basic network configuration requirement information may be understood as network configuration information required for the network configuration device to be configured to perform network configuration operations, which is not limited in the embodiment of the present invention.

[0089] Optionally, the above-mentioned determination of additional conditions for the to-be-provisioned device to perform the expected network configuration operation based on the basic network configuration requirement information may include:

[0090] Determine the expected network distribution configuration object and its network distribution operation status based on the basic network distribution configuration requirement information; when the network distribution operation status is used to indicate that the network distribution is in operation, or when the network distribution operation status is used to indicate that the network distribution is not in operation and that an existing network distribution task to be executed needs to be executed before the network distribution device to be configured, determine that the additional condition is used to indicate that the expected network distribution configuration has been occupied; when the network distribution operation status is used to indicate that the network distribution is not in operation and there is no network distribution task to be executed, determine that the additional condition is not used to indicate that the expected network distribution configuration has been occupied;

[0091] Determine the expected network distribution effect based on the basic network distribution configuration requirement information; when the expected network distribution effect is used to indicate that multiple devices need to work together to achieve the expected network distribution effect, determine the additional conditions to indicate that additional devices are needed to cooperate in network distribution; when the expected network distribution effect is used to indicate that the devices to be equipped can independently achieve the expected network distribution effect, determine that the additional conditions are not used to indicate that additional devices are needed to cooperate in network distribution.

[0092] Optionally, additional conditions may be provided, for example: when the expected network configuration of the device to be networked has been occupied, the occupied expected network configuration may be processed, such as performing network configuration control on the target occupying device that is occupying the expected network configuration, so that the device to be networked can achieve the expected network configuration; when the device to be networked requires additional equipment to cooperate in network configuration, the target cooperative equipment may be determined and a joint network configuration operation may be performed, which is not limited in the embodiments of the present invention.

[0093] Optionally, the network configuration stability level is illustrated as follows: for example, when the importance level of the configured device is higher, the network configuration parameters or network configuration status of the configured device cannot be changed at will, and it is further determined that the network configuration stability level of the configured device is higher; for example, when the configured device involves more application fields, the network configuration changes of the configured device require more review processes or the impact is wider, and it is further determined that the network configuration stability level of the configured device is higher. The same applies to other situations, and the embodiments of the present invention are not limited thereto.

[0094] Optionally, the network configuration priority of the configured device corresponding to the network configuration matching level and the network stability level is illustrated as follows: for example, when the network configuration of the configured device is more similar to that of the device to be configured and the network stability level is lower, the network configuration control priority of the configured device is higher, that is, the configured device is more prioritized to be determined as the target additional control device requiring additional network configuration control; for another example, when the network configuration of the configured device is less similar to that of the device to be configured and the network stability level of the configured device is higher, the network configuration control priority of the configured device is lower, that is, the configured device is less prioritized to be determined as the target additional control device requiring additional network configuration control. The same applies to other situations, and the embodiments of the present invention are not limited thereto.

[0095] Optionally, the first self-network configuration task corresponding to the joint network configuration device may be an empty task, that is, a network configuration task that does not exist in advance and needs to be executed, or it may be a network configuration task that exists in advance and needs to be executed, which is not limited in the embodiment of the present invention.

[0096] Optionally, the second joint network distribution task corresponding to the demand joint network distribution device can be understood as a network distribution task determined based on the network distribution configuration requirement information and required to be additionally performed by the demand joint network distribution device, which is not limited in the embodiment of the present invention.

[0097] It can be seen that this optional embodiment can determine the additional conditions for the equipment to be networked regarding the execution of the expected network configuration operation, and the additional conditions are used to indicate that the expected network configuration has been occupied or the additional conditions are used to indicate that additional equipment is required to cooperate in network configuration, and respectively match the corresponding target additional control device determination method. This is conducive to improving the comprehensiveness, integrity and rationality of the target additional control device determination method based on the additional conditions, and is conducive to improving the diversity, flexibility and pertinence of the target additional control device determination method based on the additional conditions, and thus is conducive to improving the accuracy and reliability of the determined target additional control device, thereby helping to improve the accuracy and reliability of the device network configuration based on the target additional control device.

[0098] In another optional embodiment, the above-mentioned determination of the target additional control device requiring additional network distribution control based on the current state of the network to be distributed, the first self-distribution task, and the second joint network distribution task may include:

[0099] When the current state of the network to be distributed is idle and there is no distribution task, the demand joint distribution network device is determined as the target additional control device that needs additional distribution network regulation;

[0100] When the current state of the network to be distributed is the state of waiting for distribution execution, the first self-distribution task and the second joint distribution task are used to determine whether the demand joint distribution device meets the preset original distribution execution conditions; when it is determined that the demand joint distribution device meets the original distribution execution conditions, the demand joint distribution device is determined as the target additional control device that requires additional distribution control; when it is determined that the demand joint distribution device does not meet the original distribution execution conditions, the target distribution replacement object is determined based on the first self-distribution task and the second joint distribution task. The target distribution replacement object is used to replace the demand joint distribution device to perform the first self-distribution task or the second joint distribution task; based on the target distribution replacement object and the demand joint distribution device, the target additional control device that requires additional distribution control is determined.

[0101] Optionally, when the current state of the network to be configured is idle and there is no network configuration task, the demand joint network configuration device is determined as the target additional control device that requires additional network configuration regulation. For example: when the demand joint network configuration device is currently in an idle and unconfigured state and there is no network configuration task waiting to be executed, it is directly determined that the demand joint network configuration device can perform the joint network configuration operation, which is not limited in the embodiment of the present invention.

[0102] Optionally, the above-mentioned current state of waiting for network configuration is idle and has no network configuration task state, which can be understood as completely idle and not used by demand, and there is no network configuration task; the above-mentioned current state of waiting for network configuration is waiting for execution of network configuration state, which can be understood as currently idle but there is a network configuration task but the time has not yet come to execute it. The embodiment of the present invention does not limit this.

[0103] Optionally, judging whether the device requiring joint network distribution meets a preset original network distribution execution condition based on the first self-network distribution task and the second joint network distribution task may include:

[0104] Determine whether the first self-network distribution task matches the second joint network distribution task;

[0105] When it is determined that the first self-distribution network task matches the second joint distribution network task, it is determined that the joint distribution network device required meets the preset original distribution network execution condition;

[0106] When it is determined that the first self-network distribution task does not match the second joint network distribution task, it is determined that the required joint network distribution device does not meet the preset original network distribution execution condition.

[0107] Optionally, when it is determined that the demand joint network distribution device meets the original network distribution execution conditions, the demand joint network distribution device is determined as the target additional control device that requires additional network distribution regulation. For example: when the network distribution operation that the demand joint network distribution device itself needs to perform and the demand joint network distribution operation corresponding to the device to be distributed are matched, then the demand joint network distribution device only needs to perform its own network distribution task to simultaneously meet its own network distribution requirements and the joint network distribution requirements of the device to be distributed. At this time, it can be directly determined that the demand joint network distribution device can perform the joint network distribution operation, which is not limited in the embodiments of the present invention.

[0108] Optionally, the target network distribution replacement object is a device other than the device to be distributed and the demand joint network distribution device; further, the above-mentioned target network distribution replacement object is used to replace the demand joint network distribution device to perform the first self-distribution task or the second joint network distribution task. For example: Solution 1 is that the target network distribution replacement object replaces the demand joint network distribution device to perform the first self-distribution task, and the demand joint network distribution device performs the second joint network distribution task; Solution 2 is that the target network distribution replacement object directly performs the second joint network distribution task, which is not limited in the embodiments of the present invention.

[0109] It can be seen that this optional embodiment can match the corresponding target additional control device determination method according to the current state of the demand-joint distribution network device to be networked is idle and has no distribution network task state or the current state of the demand-joint distribution network device to be networked is waiting to execute distribution network state, which is beneficial to improving the comprehensiveness, integrity and rationality of the target additional control device determination method based on the current state of the demand-joint distribution network device to be networked, and is beneficial to improving the diversity, flexibility and pertinence of the target additional control device determination method based on the current state of the demand-joint distribution network device to be networked, and thus is beneficial to improving the accuracy and reliability of the determined target additional device.

[0110] In another optional embodiment, the determining of the target network distribution replacement object according to the first self-network distribution task and the second joint network distribution task may include:

[0111] Determine a first execution specificity based on the first own network distribution task and the required joint network distribution equipment, and determine a second execution specificity based on the second joint network distribution task and the required joint network distribution equipment;

[0112] When the first execution specificity is greater than or equal to the second execution specificity, determining, according to the second joint network distribution task, a first target device capable of performing the second joint network distribution task as a target network distribution substitute object, wherein the target network distribution substitute object is used to replace the second joint network distribution task;

[0113] When the first execution specificity is less than the second execution specificity, based on the first self-network distribution task, a second target device that can execute the first self-network distribution task is determined as the target network distribution replacement object, wherein the demand joint network distribution device is used to replace the execution of the second joint network distribution task, and the target network distribution replacement object is used to replace the execution of the first self-network distribution task.

[0114] Optionally, the first execution specificity can be understood as the first self-distribution network task can only require the necessary degree of execution of the joint distribution network device; the second execution specificity can be understood as the second joint distribution network task can only require the necessary degree of execution of the joint distribution network device, and the embodiment of the present invention does not limit this.

[0115] Optional, for example: when the first execution specificity is greater than or equal to the second execution specificity, the target distribution network replacement object directly executes the second joint distribution network task; when the first execution specificity is less than the second execution specificity, the target distribution network replacement object replaces the demand joint distribution network device to execute the first self-distribution network task, and the demand joint distribution network device executes the second joint distribution network task. This is not limited in the embodiments of the present invention.

[0116] It can be seen that this optional embodiment can determine the first execution specificity corresponding to the first self-distribution network task and the second execution specificity corresponding to the second joint distribution network task, and match the corresponding target distribution network replacement object determination method according to the size comparison between the first execution specificity and the second execution specificity, which is beneficial to improving the comprehensiveness, integrity and rationality of the target distribution network replacement object determination method, and is beneficial to improving the diversity, flexibility and pertinence of the target distribution network replacement object determination method, and thus is beneficial to improving the accuracy and reliability of the determined target distribution network replacement object, thereby helping to improve the accuracy and reliability of the target additional control device determined based on the target distribution network replacement object.

[0117] In another optional embodiment, the above-mentioned determination of target additional control devices requiring additional network configuration control based on the network configuration priority and all network-configured devices may include:

[0118] According to the network distribution priority, determine the third target device that meets the preset primary network distribution occupation conditions from all the network distribution devices;

[0119] According to the determined current network distribution operation status of the third target device, determining whether the third target device meets a preset network distribution change execution condition;

[0120] When it is determined that the third target device meets the network distribution change execution condition, the third target device is determined to be a target additional control device requiring additional network distribution control;

[0121] When it is determined that the third target device does not meet the network distribution change execution conditions, based on the network distribution priority, a fourth target device that meets the preset secondary network distribution occupation conditions is determined from all the networked devices; based on the fourth target device, the target additional control device that needs additional network distribution regulation is determined.

[0122] Optionally, the above-mentioned third target device that meets the preset primary conditions for occupying the distribution network is illustrated as follows: the network-connected device with higher matching of the distribution network configuration and lower stability of the distribution network is determined as the third target device, that is, the device with the highest priority in distribution network regulation is determined to meet the preset primary conditions for occupying the distribution network. Other situations can be obtained similarly, and the embodiments of the present invention do not limit this.

[0123] Optionally, the fourth target device that meets the preset secondary occupation network distribution condition can be understood as a device whose network distribution control priority is lower than that of the third target device, which is not limited in the embodiment of the present invention.

[0124] It can be seen that this optional embodiment can determine the target additional control device through multiple levels such as the primary occupation of the distribution network conditions, the distribution network change execution conditions, and the secondary occupation of the distribution network conditions, which is conducive to improving the comprehensiveness, integrity and progressiveness of the target additional control device determination method, and thus is conducive to improving the accuracy and reliability of the determined target additional control device.

[0125] In yet another optional embodiment, judging whether the third target device satisfies a preset network configuration change execution condition based on the determined current network configuration operation status of the third target device may include:

[0126] According to the determined current network distribution operation state of the third target device, determining whether the third target device meets the preset active demand network distribution change condition;

[0127] When it is determined that the third target device meets the active demand network configuration change condition, determining that the third target device meets the preset network configuration change execution condition;

[0128] When it is determined that the third target device does not meet the active demand network configuration change condition, judging whether the third target device meets the preset passive change network configuration condition according to the current network configuration operation state;

[0129] When it is determined that the third target device meets the condition for passively changing the network configuration, determining that the third target device meets the preset network configuration change execution condition;

[0130] When it is determined that the third target device does not meet the condition for passively changing the network configuration, it is determined that the third target device does not meet the preset network configuration change execution condition.

[0131] Optionally, the above judgment of whether the third target device meets the preset active demand network configuration change condition and the above judgment of whether the third target device meets the preset passive change network configuration condition are illustrated by way of example: when the third target device itself needs to perform a network configuration change operation, that is, the network configuration change task that the third target device itself needs to perform is consistent with the joint network configuration task that needs to be added, then the third target device meets the preset network configuration change execution condition; when the third target device itself does not have a network configuration change demand, further, if the third target device can perform a network configuration change operation, then it is determined that the third target device meets the preset network configuration change execution condition; if the third target device clearly cannot perform a network configuration change operation, then it is determined that the third target device does not meet the preset network configuration change execution condition, and this is not limited in the embodiments of the present invention.

[0132] It can be seen that this optional embodiment can determine whether the distribution network change execution conditions of the third target device are met by determining whether the active distribution network change requirements of the third target device are met and whether the passive distribution network change conditions of the third target device are met. This is beneficial to improving the comprehensiveness, integrity and progressiveness of the method for determining whether the distribution network change execution conditions are met, and thus is beneficial to improving the accuracy and reliability of the determined distribution network change execution conditions, thereby helping to improve the accuracy, reliability, pertinence and timeliness of the subsequent target additional control device determination operation triggered by the distribution network change execution conditions.

[0133] In another optional embodiment, the above-mentioned determination of the indirect network configuration scheme corresponding to the to-be-configured network device and the target additional control device based on the multi-source heterogeneous data and multi-modal operation information may include:

[0134] Determine the third self-network distribution task and the fourth joint network distribution task corresponding to the device to be networked based on multi-source heterogeneous data and multi-modal operation information, and determine the current network distribution task status of the target additional control device;

[0135] When the current network configuration task status indicates that no network configuration task currently exists for the target additional control device, a corresponding network configuration task binding operation is performed on the target additional control device based on the third self-network configuration task and a corresponding network configuration task binding operation is performed on the target additional control device based on the fourth joint network configuration task, thereby obtaining an indirect network configuration solution corresponding to the target additional control device and the target additional control device;

[0136] When the current network distribution task status is used to indicate that the target additional control device currently has a network distribution task, determine the fifth self-network distribution task of the target additional control device; according to the fourth joint network distribution task and the fifth self-network distribution task, execute the corresponding network distribution task independent execution sequence adjustment operation or execute the corresponding network distribution task unified fusion adjustment operation to obtain the sixth comprehensive coordination task of the target additional control device; based on the third self-network distribution task, execute the corresponding network distribution task binding operation on the to-be-connected network device and based on the sixth comprehensive coordination task, execute the corresponding network distribution task binding operation on the target additional control device to obtain the indirect network distribution plan corresponding to the to-be-connected network device and the target additional control device.

[0137] Further, for example: when the target additional control device currently does not have a network distribution task, the indirect network distribution solution may include the to-be-connected network device performing a network distribution operation based on the third self-network distribution task and the target additional control device performing a network distribution operation based on the fourth joint network distribution task. The embodiments of the present invention do not limit this.

[0138] Further, for example: when the target additional control device currently has a network distribution task, the indirect network distribution solution may include the network distribution device to be distributed performing network distribution operations based on the third network distribution task itself, the target additional control device performing network distribution operations in sequence for the fourth joint network distribution task and the fifth self-distribution task, or the target additional control device performing unified fusion / integration of the fourth joint network distribution task and the fifth self-distribution task and then performing network distribution operations. The embodiments of the present invention do not limit this.

[0139] It can be seen that this optional embodiment can match the corresponding indirect network distribution scheme determination method with the current network distribution task status of the target additional control device to indicate that the target additional control device currently has no network distribution task, and with the current network distribution task status of the target additional control device to indicate that the target additional control device currently has a network distribution task, which is beneficial to improving the comprehensiveness, integrity and rationality of the indirect network distribution scheme determination method, as well as improving the diversity, flexibility and pertinence of the indirect network distribution scheme determination method, and thus helping to improve the accuracy and reliability of the determined indirect network distribution scheme, thereby helping to improve the accuracy and reliability of the equipment network distribution operation based on the indirect network distribution scheme.

[0140] Example 2

[0141] See also Figure 2 , Figure 2 This is a flow chart of another method for optimizing and controlling distribution network operation based on multi-source heterogeneous data fusion disclosed in an embodiment of the present invention. Figure 2 The described method can be applied to a distribution network operation optimization and control system, wherein the system may include a server, wherein the server includes a local server or a cloud server, which is not limited in the embodiment of the present invention. Figure 2 As shown, the distribution network operation optimization and control method based on multi-source heterogeneous data fusion includes the following operations:

[0142] 201. Determine the network equipment to be configured that requires network configuration control, and determine the multi-source heterogeneous data and multi-modal operation information corresponding to the network equipment to be configured.

[0143] 202. Determine the expected network configuration parameters and phenomena corresponding to the equipment to be configured based on multi-source heterogeneous data and multi-modal operation information, and determine the actual network configuration parameters and phenomena corresponding to the equipment to be configured.

[0144] Optionally, the expected network configuration parameters and phenomena can be understood as the network configuration parameters and phenomena achieved under the optimal ideal state, such as the network configuration occupancy of the equipment does not need to be adjusted, the equipment that requires additional joint network configuration operations and the equipment that requires joint network configuration has already been configured; the actual network configuration parameters and phenomena can be understood as the network configuration parameters and phenomena that can be achieved in the current actual application scenario, and the embodiments of the present invention do not limit this.

[0145] 203. Based on the expected network configuration parameters and phenomena and the actual network configuration parameters and phenomena, determine whether the device to be configured satisfies the preset direct network configuration triggering conditions. If the determination result is yes, execute step 205; if the determination result is no, execute step 204.

[0146] Optionally, the above judgment of whether the device to be networked meets the preset direct network configuration trigger condition is illustrated by an example: when the device to be networked can meet the user's network configuration requirements by directly performing the network configuration operation, it is determined that the device to be networked meets the preset direct network configuration trigger condition; when the device to be networked cannot meet the user's network configuration requirements by directly performing the network configuration operation, it is determined that the device to be networked does not meet the preset direct network configuration trigger condition, and the embodiments of the present invention do not limit this.

[0147] 204. Based on the expected network configuration parameters and phenomena and the actual network configuration parameters and phenomena, determine whether the device to be configured satisfies the preset conditional network configuration execution conditions. If the determination result is yes, execute step 206.

[0148] Optionally, the above judgment of whether the device to be networked meets the preset conditional network configuration execution condition is illustrated by an example: when the network configuration operation is performed on the device to be networked and the user's network configuration requirements can be met by performing additional operations on other devices (for example, the network configuration requirements can be met by queuing, adjusting the network configuration of other devices, etc.), it is determined that the device to be networked meets the preset conditional network configuration execution condition; when other conventional response measures still cannot meet the user's network configuration requirements, it is determined that the device to be networked does not meet the preset conditional network configuration execution condition, and the embodiments of the present invention do not limit this.

[0149] Further optionally, when it is determined that the device to be networked does not meet the preset conditional network configuration execution conditions, a network configuration safety prompt instruction is generated to prompt the staff to handle the current network configuration status, which is not limited in the embodiment of the present invention.

[0150] 205. Determine a direct network configuration plan corresponding to the device to be configured based on multi-source heterogeneous data and multi-modal operation information; and perform corresponding network configuration control operations on the device to be configured based on the direct network configuration plan.

[0151] 206. Based on multi-source heterogeneous data and multi-modal operation information, determine the target additional control equipment that needs additional distribution network regulation; based on multi-source heterogeneous data and multi-modal operation information, determine the indirect distribution network plan corresponding to the equipment to be distributed and the target additional control equipment; based on the indirect distribution network plan, perform corresponding distribution network regulation optimization operations on the equipment to be distributed and the target additional control equipment.

[0152] In the embodiment of the present invention, for other descriptions of steps 201 to 206 , please refer to other detailed descriptions of steps 101 to 104 in the first embodiment, which will not be repeated in the embodiment of the present invention.

[0153] It can be seen that the embodiment of the present invention can determine the satisfaction of the abnormal network distribution execution conditions of the network equipment to be distributed based on multi-source heterogeneous data and multi-modal operation information, and match the corresponding network distribution operation optimization and control methods for the network equipment to be distributed that meets the abnormal network distribution execution conditions and for the network equipment to be distributed that does not meet the abnormal network distribution execution conditions, which is conducive to improving the comprehensiveness, integrity and rationality of the network distribution operation optimization and control methods, as well as improving the diversity, flexibility and pertinence of the network distribution operation optimization and control methods, thereby improving the accuracy and reliability of the network distribution operation optimization and control of the equipment, and improving the efficiency and convenience of the network distribution operation optimization and control of the equipment. , which is conducive to improving the stability and safety of equipment distribution network operation and the timeliness of equipment distribution network optimization; and it can also determine the satisfaction of abnormal distribution network execution conditions based on the direct distribution network trigger conditions of the determined equipment to be distributed and the satisfaction of the conditional distribution network execution conditions, which is conducive to improving the comprehensiveness, integrity, rationality and progressiveness of the method for determining the satisfaction of abnormal distribution network execution conditions, and thus is conducive to improving the accuracy and reliability of the determined satisfaction of abnormal distribution network execution conditions, and thus is conducive to improving the accuracy, reliability and timeliness of subsequent distribution network operations triggered by the satisfaction of abnormal distribution network execution conditions.

[0154] Example 3

[0155] See also Figure 3 , Figure 3 This is a structural diagram of a distribution network operation optimization and control system based on multi-source heterogeneous data fusion disclosed in an embodiment of the present invention. Figure 3 The described system may include a server, wherein the server includes a local server or a cloud server, which is not limited in the embodiment of the present invention. Figure 3 As shown, the distribution network operation optimization and control system based on multi-source heterogeneous data fusion may include:

[0156] The determination module 301 is used to determine the network equipment to be configured that needs to be controlled, and to determine the multi-source heterogeneous data and multi-modal operation information corresponding to the network equipment to be configured.

[0157] The judgment module 302 is used to judge whether the device to be networked meets the preset abnormal network configuration execution conditions based on the multi-source heterogeneous data and multi-modal operation information.

[0158] The direct network configuration module 303 is used to determine the direct network configuration scheme corresponding to the device to be configured based on multi-source heterogeneous data and multi-modal operation information when the judgment module 302 determines that the device to be configured does not meet the abnormal network configuration execution conditions; and perform corresponding network configuration control operations on the device to be configured according to the direct network configuration scheme.

[0159] The indirect network distribution module 304 is used to determine the target additional control device that needs additional network distribution control based on multi-source heterogeneous data and multi-modal operation information when the judgment module 302 determines that the device to be distributed meets the abnormal network distribution execution conditions; determine the indirect network distribution plan corresponding to the device to be distributed and the target additional control device based on the multi-source heterogeneous data and multi-modal operation information; and perform corresponding network distribution control optimization operations on the device to be distributed and the target additional control device according to the indirect network distribution plan.

[0160] It can be seen that implementation Figure 3 The described distribution network operation optimization and control system based on multi-source heterogeneous data fusion can determine the satisfaction of abnormal distribution network execution conditions of the equipment to be distributed according to multi-source heterogeneous data and multi-modal operation information, and match the corresponding distribution network operation optimization and control methods for the equipment to be distributed that meets the abnormal distribution network execution conditions and for the equipment to be distributed that does not meet the abnormal distribution network execution conditions. This is conducive to improving the comprehensiveness, integrity and rationality of the distribution network operation optimization and control methods, as well as improving the diversity, flexibility and pertinence of the distribution network operation optimization and control methods, thereby improving the accuracy and reliability of the equipment's distribution network operation optimization and control, as well as improving the efficiency and convenience of the equipment's distribution network operation optimization and control, thereby improving the stability and safety of the equipment's distribution network operation, and improving the timeliness of the equipment's distribution network optimization.

[0161] In an optional embodiment, the indirect network distribution module 304 determines the target additional control device that requires additional network distribution control based on the multi-source heterogeneous data and multi-modal operation information in the following manner:

[0162] Determine the basic network configuration requirements of the equipment to be networked based on multi-source heterogeneous data and multi-modal operation information;

[0163] Determine the additional conditions for the expected network configuration operation of the network equipment to be configured based on the basic network configuration requirements information;

[0164] When the additional condition is used to indicate that the expected network configuration is already occupied, one or more network-configured devices are determined based on the network-configured devices and the determined current system network configuration data; based on the basic network configuration requirement information and the determined network configuration information of each network-configured device, the network configuration priority corresponding to all network-configured devices in terms of network configuration matching level and network stability level is determined; based on the network configuration priority and all network-configured devices, the target additional control devices that require additional network configuration regulation are determined;

[0165] When additional conditions are used to indicate the need for additional equipment to cooperate in network distribution, the demand joint network distribution equipment corresponding to the equipment to be distributed is determined based on the basic network distribution configuration requirement information, and the current state of the demand joint network distribution equipment to be distributed is determined; the first self-distribution task corresponding to the demand joint network distribution equipment is determined, and the second joint network distribution task corresponding to the demand joint network distribution equipment is determined based on the basic network distribution configuration requirement information; based on the current state of the network to be distributed, the first self-distribution task and the second joint network distribution task, the target additional control equipment that needs additional network distribution regulation is determined.

[0166] It can be seen that implementation Figure 3 The described system can also determine the additional conditions for the equipment to be networked regarding the execution of the expected network distribution operation, and match the corresponding target additional control device determination method for the additional conditions used to indicate that the expected network distribution configuration has been occupied or for the additional conditions used to indicate that additional equipment is required for cooperative network distribution. This is conducive to improving the comprehensiveness, integrity and rationality of the target additional control device determination method based on the additional conditions, as well as improving the diversity, flexibility and pertinence of the target additional control device determination method based on the additional conditions, thereby helping to improve the accuracy and reliability of the determined target additional control device, thereby helping to improve the accuracy and reliability of the equipment network distribution based on the target additional control device.

[0167] In another optional embodiment, the indirect network distribution module 304 determines the target additional control device requiring additional network distribution control according to the current network state to be distributed, the first self-distribution task, and the second joint network distribution task, specifically including:

[0168] When the current state of the network to be distributed is idle and there is no distribution task, the demand joint distribution network device is determined as the target additional control device that needs additional distribution network regulation;

[0169] When the current state of the network to be distributed is the state of waiting for distribution execution, the first self-distribution task and the second joint distribution task are used to determine whether the demand joint distribution device meets the preset original distribution execution conditions; when it is determined that the demand joint distribution device meets the original distribution execution conditions, the demand joint distribution device is determined as the target additional control device that requires additional distribution control; when it is determined that the demand joint distribution device does not meet the original distribution execution conditions, the target distribution replacement object is determined based on the first self-distribution task and the second joint distribution task. The target distribution replacement object is used to replace the demand joint distribution device to perform the first self-distribution task or the second joint distribution task; based on the target distribution replacement object and the demand joint distribution device, the target additional control device that requires additional distribution control is determined.

[0170] It can be seen that implementation Figure 3 The described system can also match the corresponding target additional control device determination method according to the current state of the demand-joint distribution network device to be networked is idle and has no distribution network task state or the current state of the demand-joint distribution network device to be networked is waiting to execute distribution network state, which is conducive to improving the comprehensiveness, integrity and rationality of the target additional control device determination method based on the current state of the demand-joint distribution network device to be networked, and is conducive to improving the diversity, flexibility and pertinence of the target additional control device determination method based on the current state of the demand-joint distribution network device to be networked, and thus is conducive to improving the accuracy and reliability of the determined target additional device.

[0171] In another optional embodiment, the indirect network distribution module 304 determines the target network distribution replacement object according to the first self-network distribution task and the second joint network distribution task in the following manner:

[0172] Determine a first execution specificity based on the first own network distribution task and the required joint network distribution equipment, and determine a second execution specificity based on the second joint network distribution task and the required joint network distribution equipment;

[0173] When the first execution specificity is greater than or equal to the second execution specificity, determining, according to the second joint network distribution task, a first target device capable of performing the second joint network distribution task as a target network distribution substitute object, wherein the target network distribution substitute object is used to replace the second joint network distribution task;

[0174] When the first execution specificity is less than the second execution specificity, based on the first self-network distribution task, a second target device that can execute the first self-network distribution task is determined as the target network distribution replacement object, wherein the demand joint network distribution device is used to replace the execution of the second joint network distribution task, and the target network distribution replacement object is used to replace the execution of the first self-network distribution task.

[0175] It can be seen that implementation Figure 3The described system can also determine the first execution specificity corresponding to the first self-distribution network task and the second execution specificity corresponding to the second joint distribution network task, and match the corresponding target distribution network replacement object determination method according to the size comparison between the first execution specificity and the second execution specificity, which is conducive to improving the comprehensiveness, integrity and rationality of the target distribution network replacement object determination method, as well as improving the diversity, flexibility and pertinence of the target distribution network replacement object determination method, and thus is conducive to improving the accuracy and reliability of the determined target distribution network replacement object, thereby helping to improve the accuracy and reliability of the target additional control device determined based on the target distribution network replacement object.

[0176] In another optional embodiment, the indirect network distribution module 304 determines the target additional control device that requires additional network distribution control according to the network distribution priority and all the network-distributed devices in the following manner:

[0177] According to the network distribution priority, determine the third target device that meets the preset primary network distribution occupation conditions from all the network distribution devices;

[0178] According to the determined current network distribution operation status of the third target device, determining whether the third target device meets a preset network distribution change execution condition;

[0179] When it is determined that the third target device meets the network distribution change execution condition, the third target device is determined to be a target additional control device requiring additional network distribution control;

[0180] When it is determined that the third target device does not meet the network distribution change execution conditions, based on the network distribution priority, a fourth target device that meets the preset secondary network distribution occupation conditions is determined from all the networked devices; based on the fourth target device, the target additional control device that needs additional network distribution regulation is determined.

[0181] It can be seen that implementation Figure 3 The described system can also determine the target additional control equipment through multiple levels such as primary occupation of the distribution network conditions, distribution network change execution conditions, and secondary occupation of the distribution network conditions, which is conducive to improving the comprehensiveness, integrity and progressiveness of the target additional control equipment determination method, and thus helps to improve the accuracy and reliability of the determined target additional control equipment.

[0182] In another optional embodiment, the indirect network configuration module 304 determines whether the third target device meets the preset network configuration change execution condition according to the determined current network configuration operation status of the third target device by:

[0183] According to the determined current network distribution operation state of the third target device, determining whether the third target device meets the preset active demand network distribution change condition;

[0184] When it is determined that the third target device meets the active demand network configuration change condition, determining that the third target device meets the preset network configuration change execution condition;

[0185] When it is determined that the third target device does not meet the active demand network configuration change condition, judging whether the third target device meets the preset passive change network configuration condition according to the current network configuration operation state;

[0186] When it is determined that the third target device meets the condition for passively changing the network configuration, determining that the third target device meets the preset network configuration change execution condition;

[0187] When it is determined that the third target device does not meet the condition for passively changing the network configuration, it is determined that the third target device does not meet the preset network configuration change execution condition.

[0188] It can be seen that implementation Figure 3 The described system can also determine whether the distribution network change execution conditions of the third target device are met by determining whether the conditions for active distribution network change requirements of the third target device are met and whether the conditions for passive distribution network change of the third target device are met. This is conducive to improving the comprehensiveness, integrity and progressiveness of the method for determining whether the distribution network change execution conditions are met, and thus is conducive to improving the accuracy and reliability of the determined distribution network change execution conditions, thereby helping to improve the accuracy, reliability, pertinence and timeliness of subsequent target additional control device determination operations triggered by the distribution network change execution conditions.

[0189] In another optional embodiment, the judgment module 302 judges whether the network-to-be-connected device meets the preset abnormal network configuration execution condition based on the multi-source heterogeneous data and the multi-modal operation information in the following manner:

[0190] Determine the expected network configuration parameters and phenomena corresponding to the equipment to be configured based on multi-source heterogeneous data and multi-modal operation information, and determine the actual network configuration parameters and phenomena corresponding to the equipment to be configured;

[0191] Based on the expected network configuration parameters and phenomena, and the actual network configuration parameters and phenomena, determine whether the equipment to be configured meets the preset direct network configuration trigger conditions;

[0192] When it is determined that the device to be networked meets the direct network configuration triggering condition, it is determined that the device to be networked does not meet the preset abnormal network configuration execution condition;

[0193] When it is determined that the device to be networked does not meet the direct network configuration triggering conditions, it is determined whether the device to be networked meets the preset conditional network configuration execution conditions based on the expected network configuration parameters and phenomena and the actual network configuration parameters and phenomena;

[0194] When it is determined that the device to be networked meets the conditional network configuration execution condition, it is determined that the device to be networked meets the preset abnormal network configuration execution condition.

[0195] It can be seen that implementation Figure 3 The described system can also determine whether the abnormal network distribution execution conditions are met based on the direct network distribution trigger conditions of the determined equipment to be networked and whether the conditional network distribution execution conditions are met, which is conducive to improving the comprehensiveness, integrity, rationality and progressiveness of the method for determining whether the abnormal network distribution execution conditions are met, and thus is conducive to improving the accuracy and reliability of the determined abnormal network distribution execution conditions, thereby facilitating the improvement of the accuracy, reliability and timeliness of subsequent network distribution operations triggered by the abnormal network distribution execution conditions.

[0196] In another optional embodiment, the indirect network configuration module 304 determines the indirect network configuration solution corresponding to the to-be-configured network device and the target additional control device based on the multi-source heterogeneous data and the multi-modal operation information, specifically including:

[0197] Determine the third self-network distribution task and the fourth joint network distribution task corresponding to the device to be networked based on multi-source heterogeneous data and multi-modal operation information, and determine the current network distribution task status of the target additional control device;

[0198] When the current network configuration task status indicates that no network configuration task currently exists for the target additional control device, a corresponding network configuration task binding operation is performed on the target additional control device based on the third self-network configuration task and a corresponding network configuration task binding operation is performed on the target additional control device based on the fourth joint network configuration task, thereby obtaining an indirect network configuration solution corresponding to the target additional control device and the target additional control device;

[0199] When the current network distribution task status is used to indicate that the target additional control device currently has a network distribution task, determine the fifth self-network distribution task of the target additional control device; according to the fourth joint network distribution task and the fifth self-network distribution task, execute the corresponding network distribution task independent execution sequence adjustment operation or execute the corresponding network distribution task unified fusion adjustment operation to obtain the sixth comprehensive coordination task of the target additional control device; based on the third self-network distribution task, execute the corresponding network distribution task binding operation on the to-be-connected network device and based on the sixth comprehensive coordination task, execute the corresponding network distribution task binding operation on the target additional control device to obtain the indirect network distribution plan corresponding to the to-be-connected network device and the target additional control device.

[0200] It can be seen that implementation Figure 3The described system can also match the current network distribution task status of the target additional control device to indicate that the target additional control device currently has no network distribution task, and the current network distribution task status of the target additional control device to indicate that the target additional control device currently has a network distribution task, respectively, to the corresponding indirect network distribution scheme determination method, which is conducive to improving the comprehensiveness, integrity and rationality of the indirect network distribution scheme determination method, as well as improving the diversity, flexibility and pertinence of the indirect network distribution scheme determination method, and thus is conducive to improving the accuracy and reliability of the determined indirect network distribution scheme, thereby helping to improve the accuracy and reliability of the equipment network distribution operation based on the indirect network distribution scheme.

[0201] Example 4

[0202] See also Figure 4 , Figure 4 This is another structural diagram of a distribution network operation optimization and control system based on multi-source heterogeneous data fusion disclosed in an embodiment of the present invention. Figure 4 The described system may include a server, wherein the server includes a local server or a cloud server, which is not limited in the embodiment of the present invention. Figure 4 As shown, the system may include:

[0203] A memory 401 storing executable program code;

[0204] a processor 402 coupled to the memory 401;

[0205] Furthermore, it may also include an input interface 403 and an output interface 404 coupled to the processor 402;

[0206] The processor 402 calls the executable program code stored in the memory 401 to execute the steps of the distribution network operation optimization and control method based on multi-source heterogeneous data fusion described in the first or second embodiment.

[0207] Example 5

[0208] An embodiment of the present invention discloses a computer storage medium that stores a computer program for electronic data exchange, wherein the computer program enables a computer to execute the steps of the distribution network operation optimization and control method based on multi-source heterogeneous data fusion described in Example 1 or Example 2.

[0209] Example 6

[0210] An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable a computer to execute the steps of the distribution network operation optimization and control method based on multi-source heterogeneous data fusion described in Example 1 or Example 2.

[0211] The device embodiments described above are merely illustrative, wherein the modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules, i.e., they may be located in one place or distributed across multiple network modules. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Those skilled in the art can understand and implement the present invention without inventive effort.

[0212] Through the detailed description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus the necessary general hardware platform, or of course, by means of hardware. Based on this understanding, the above technical solution, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product, which can be stored in a computer-readable storage medium, the storage medium including a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium capable of carrying or storing data.

[0213] Finally, it should be noted that the distribution network operation optimization and control method and system based on multi-source heterogeneous data fusion disclosed in the embodiment of the present invention is only a preferred embodiment of the present invention, which is only used to illustrate the technical solution of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, ordinary technicians in this field should understand that it is still possible to modify the technical solutions recorded in the aforementioned embodiments, or to make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A distribution network operation optimization and control method based on multi-source heterogeneous data fusion, characterized in that: The method comprises: Determine the network equipment to be configured that requires network configuration control, and determine the multi-source heterogeneous data and multi-modal operation information corresponding to the network equipment to be configured; Determining whether the device to be networked meets a preset abnormal network configuration execution condition based on the multi-source heterogeneous data and the multi-modal operation information; When it is determined that the device to be networked does not meet the abnormal network configuration execution condition, a direct network configuration solution corresponding to the device to be networked is determined based on the multi-source heterogeneous data and the multimodal operation information; and corresponding network configuration control operations are performed on the device to be networked according to the direct network configuration solution. When it is determined that the device to be networked meets the abnormal network configuration execution condition, the target additional control device that needs to be additionally controlled for network configuration is determined based on the multi-source heterogeneous data and the multi-modal operation information; the indirect network configuration scheme corresponding to the device to be networked and the target additional control device is determined based on the multi-source heterogeneous data and the multi-modal operation information; and according to the indirect network configuration scheme, corresponding network configuration control optimization operations are performed on the device to be networked and the target additional control device.

2. The distribution network operation optimization and control method based on multi-source heterogeneous data fusion according to claim 1 is characterized in that: The determining, based on the multi-source heterogeneous data and the multi-modal operation information, a target additional control device requiring additional distribution network regulation includes: Determining basic network configuration requirement information of the device to be networked based on the multi-source heterogeneous data and the multi-modal operation information; Determining, based on the basic network configuration requirement information, additional conditions for the device to be configured to perform the expected network configuration operation; When the additional condition is used to indicate that the expected network configuration is already occupied, one or more network-configured devices are determined based on the network-configured devices and the determined current system network configuration data; based on the basic network configuration requirement information and the determined network configuration information of each of the network-configured devices, the network configuration priority corresponding to all the network-configured devices for the network configuration matching level and the network stability level is determined; based on the network configuration priority and all the network-configured devices, target additional control devices that require additional network configuration regulation are determined; When the additional condition is used to indicate that additional equipment is required to cooperate in network distribution, the demand joint network distribution equipment corresponding to the device to be distributed is determined according to the basic network distribution configuration requirement information, and the current state of the device to be distributed is determined; the first self-distribution task corresponding to the demand joint network distribution equipment is determined, and the second joint network distribution task corresponding to the demand joint network distribution equipment is determined according to the basic network distribution configuration requirement information; the target additional control device that needs additional network distribution regulation is determined according to the current state of the device to be distributed, the first self-distribution task and the second joint network distribution task.

3. The distribution network operation optimization and control method based on multi-source heterogeneous data fusion according to claim 2 is characterized in that: The determining, based on the current state of the network to be distributed, the first self-distribution task, and the second joint distribution task, of a target additional control device requiring additional distribution network regulation and control includes: When the current state of the network to be configured is idle and there is no network configuration task, the demand joint network configuration device is determined as a target additional control device requiring additional network configuration control; When the current state of the network to be distributed is the state of waiting for distribution execution, the first self-distribution task and the second joint distribution task are used to determine whether the demand joint distribution device meets the preset original distribution execution conditions; when it is determined that the demand joint distribution device meets the original distribution execution conditions, the demand joint distribution device is determined as the target additional control device that requires additional distribution regulation; when it is determined that the demand joint distribution device does not meet the original distribution execution conditions, the target distribution replacement object is determined according to the first self-distribution task and the second joint distribution task, and the target distribution replacement object is used to replace the demand joint distribution device to perform the first self-distribution task or the second joint distribution task; based on the target distribution replacement object and the demand joint distribution device, the target additional control device that requires additional distribution regulation is determined.

4. The distribution network operation optimization and control method based on multi-source heterogeneous data fusion according to claim 3 is characterized in that: The determining of a target distribution network replacement object according to the first self-distribution network task and the second joint distribution network task includes: Determining a first execution specificity based on the first self-network distribution task and the required joint network distribution device, and determining a second execution specificity based on the second joint network distribution task and the required joint network distribution device; When the first execution specificity is greater than or equal to the second execution specificity, determining, according to the second joint network distribution task, a first target device capable of performing the second joint network distribution task as a target network distribution substitute object, wherein the target network distribution substitute object is used to replace the second joint network distribution task; When the first execution specificity is less than the second execution specificity, a second target device capable of executing the first self-network distribution task is determined according to the first self-network distribution task as a target network distribution substitute object, wherein the demand joint network distribution device is used to replace the execution of the second joint network distribution task, and the target network distribution substitute object is used to replace the execution of the first self-network distribution task.

5. The distribution network operation optimization and control method based on multi-source heterogeneous data fusion according to claim 2 is characterized in that: The determining of target additional control devices requiring additional network distribution control according to the network distribution priority and all the network-distributed devices includes: According to the network configuration priority, determining a third target device that meets a preset primary network configuration occupation condition from all the network configuration devices; According to the determined current network distribution operation status of the third target device, determining whether the third target device meets a preset network distribution change execution condition; When it is determined that the third target device meets the network distribution change execution condition, determining the third target device as a target additional control device requiring additional network distribution control; When it is determined that the third target device does not meet the network distribution change execution condition, according to the network distribution priority, a fourth target device that meets the preset secondary network distribution occupation condition is determined from all the networked devices; based on the fourth target device, a target additional control device that needs additional network distribution regulation is determined.

6. The distribution network operation optimization and control method based on multi-source heterogeneous data fusion according to claim 5 is characterized in that: The determining, based on the determined current network distribution operation status of the third target device, whether the third target device meets a preset network distribution change execution condition includes: According to the determined current network distribution operation state of the third target device, determining whether the third target device meets a preset active demand network distribution change condition; When it is determined that the third target device meets the active demand network configuration change condition, determining that the third target device meets the preset network configuration change execution condition; When it is determined that the third target device does not meet the active demand network configuration change condition, judging whether the third target device meets a preset passive change network configuration condition according to the current network configuration operation state; When it is determined that the third target device meets the condition for passively changing the network configuration, determining that the third target device meets a preset network configuration change execution condition; When it is determined that the third target device does not meet the condition for passively changing the network configuration, it is determined that the third target device does not meet the preset network configuration change execution condition.

7. The distribution network operation optimization and control method based on multi-source heterogeneous data fusion according to any one of claims 1 to 5, characterized in that: The determining, based on the multi-source heterogeneous data and the multi-modal operation information, whether the to-be-connected network device meets a preset abnormal network connection execution condition includes: Determine expected network configuration parameters and phenomena corresponding to the device to be configured, and determine actual network configuration parameters and phenomena corresponding to the device to be configured, based on the multi-source heterogeneous data and the multi-modal operation information; According to the expected network configuration parameters and phenomena and the actual network configuration parameters and phenomena, determining whether the device to be configured satisfies a preset direct network configuration trigger condition; When it is determined that the device to be networked meets the direct network configuration triggering condition, determining that the device to be networked does not meet the preset abnormal network configuration execution condition; When it is determined that the device to be networked does not meet the direct network configuration triggering condition, judging whether the device to be networked meets the preset conditional network configuration execution condition based on the expected network configuration parameters and phenomena and the actual network configuration parameters and phenomena; When it is determined that the device to be networked meets the conditional network configuration execution condition, determining that the device to be networked meets the preset abnormal network configuration execution condition; Furthermore, determining the indirect network configuration scheme corresponding to the to-be-configured network device and the target additional control device based on the multi-source heterogeneous data and the multi-modal operation information includes: Determine, based on the multi-source heterogeneous data and the multimodal operation information, a third self-network configuration task and a fourth joint network configuration task corresponding to the to-be-configured network device, and determine a current network configuration task status of the target additional control device; When the current network configuration task status indicates that no network configuration task currently exists for the target additional control device, performing a corresponding network configuration task binding operation on the device to be configured based on the third self-network configuration task and performing a corresponding network configuration task binding operation on the target additional control device based on the fourth joint network configuration task, to obtain an indirect network configuration solution corresponding to the device to be configured and the target additional control device; When the current network distribution task status is used to indicate that the target additional control device currently has a network distribution task, determine the fifth self-network distribution task of the target additional control device; according to the fourth joint network distribution task and the fifth self-network distribution task, perform the corresponding network distribution task independent execution sequence adjustment operation or perform the corresponding network distribution task unified fusion adjustment operation to obtain the sixth comprehensive coordination task of the target additional control device; based on the third self-network distribution task, perform the corresponding network distribution task binding operation on the device to be configured and based on the sixth comprehensive coordination task, perform the corresponding network distribution task binding operation on the target additional control device to obtain the indirect network distribution scheme corresponding to the device to be configured and the target additional control device.

8. A distribution network operation optimization and control system based on multi-source heterogeneous data fusion, characterized in that: The system comprises: A determination module is used to determine the network equipment to be configured that requires network configuration control, and to determine the multi-source heterogeneous data and multi-modal operation information corresponding to the network equipment to be configured; A judgment module, configured to judge whether the to-be-connected network device meets a preset abnormal network connection execution condition based on the multi-source heterogeneous data and the multi-modal operation information; A direct network configuration module is configured to determine, when the judgment module determines that the device to be configured does not meet the abnormal network configuration execution condition, a direct network configuration scheme corresponding to the device to be configured based on the multi-source heterogeneous data and the multimodal operation information; and perform corresponding network configuration control operations on the device to be configured according to the direct network configuration scheme; The indirect network distribution module is used to determine, when the judgment module determines that the device to be networked meets the abnormal network distribution execution condition, the target additional control device that needs to be additionally controlled according to the multi-source heterogeneous data and the multimodal operation information; determine the indirect network distribution scheme corresponding to the device to be networked and the target additional control device according to the multi-source heterogeneous data and the multimodal operation information; and perform corresponding network distribution control optimization operations on the device to be networked and the target additional control device according to the indirect network distribution scheme.

9. A distribution network operation optimization and control system based on multi-source heterogeneous data fusion, characterized in that: The system comprises: a memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the distribution network operation optimization and control method based on multi-source heterogeneous data fusion according to any one of claims 1 to 7.

10. A computer storage medium, characterized in that The computer storage medium stores computer instructions, which, when called, are used to execute the distribution network operation optimization and control method based on multi-source heterogeneous data fusion as described in any one of claims 1 to 7.

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