CN117748745A - Method and system for optimizing and enhancing reliability of power distribution network - Google Patents
Method and system for optimizing and enhancing reliability of power distribution network Download PDFInfo
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Abstract
The invention belongs to the technical field of data transmission, and particularly relates to a method and a system for optimizing and enhancing the reliability of a power distribution network, wherein the method comprises the steps of respectively setting different data acquisition modules on different power distribution equipment, and storing main characteristic values, first characteristic values until an N characteristic value, and first password values respectively corresponding to the first characteristic values until the N characteristic value until the N password value; each data acquisition module encrypts and transmits the collected monitoring data to the first data acquisition module through a plurality of other data acquisition modules, and the first data acquisition module sends the monitoring data to the remote server module; the remote server module uses a machine learning algorithm to analyze and process the monitoring data to obtain an analysis result, and timely pushes reminding messages to related contacts under the condition that the analysis result is abnormal. The invention can enhance the reliability of the power distribution network.
Description
Technical Field
The invention belongs to the technical field of data transmission, and particularly relates to a method and a system for optimizing and enhancing the reliability of a power distribution network.
Background
The distribution network is a method for receiving electric energy from a power transmission network or a regional power plant, distributing the electric energy to various users in situ through different distribution equipment or distributing the electric energy to the power network step by step according to voltage, and along with the continuous development of computer application technology, more and more methods for predicting the probability of failure of the distribution equipment by monitoring the operation data of the distribution equipment and timely taking countermeasures are presented, so that the reliability of the distribution network is enhanced by reducing the power failure time caused by the failure of the distribution equipment.
Similar to the prior art, the invention with the publication number of CN110572261A relates to a data encryption transmission method, which comprises the following steps: s1, a data sending end generates a first partial data key and sends the first partial data key to a data receiving end; s2, the data receiving end generates a second partial data key and sends the second partial data key to the data sending end; s3, generating an encryption key and a decryption key by the first part of data key and the second part of data key; s4, the data transmitting end encrypts data to be transmitted by using the encryption key, and the generated encrypted data is transmitted to the data receiving end; s5, the data receiving end decrypts the received encrypted data by using the decryption key to obtain the data to be transmitted, however, the key used by the method is not dynamically updated, and the security is not enough. The invention with publication number CN110943832B is similar to the prior art, and relates to a data encryption transmission method, which comprises the steps of generating a master key, and acquiring a first key and a second key according to the master key; generating a first process key by using the first equipment identification information, and then calculating a second process key by using the first key and the first process key; calculating a third key by using the second key and the second process key; calculating a session key using the third key; the data is then encrypted using the session key, however, when the first device of the invention is hacked, the key will not be generated and the reliability is not high. Therefore, the invention provides a method and a system for optimizing and enhancing the reliability of a power distribution network.
Disclosure of Invention
The invention respectively sets up data acquisition modules on the distribution equipment, each data acquisition module encrypts and transmits the collected monitoring data to the first data acquisition module through other data acquisition modules, the first data acquisition module transmits the monitoring data to the remote server module, and the remote server module timely pushes reminding information to related contacts.
In order to achieve the above object, the present invention provides a method for optimizing and enhancing the reliability of a power distribution network, which mainly comprises the following steps:
different data acquisition modules are respectively arranged on different power distribution equipment, the data acquisition modules are used for collecting monitoring data of the power distribution equipment, meanwhile, communication connection is carried out among the different data acquisition modules, main characteristic values are stored in the data acquisition modules, the first characteristic values are up to an N characteristic value, first password values corresponding to the first characteristic values up to the N characteristic values respectively are up to the N password values, and after a preset first time interval is passed, one update of the stored first password values up to the N password values is completed;
Each data acquisition module is used for encrypting and transmitting the collected monitoring data to a first data acquisition module through a plurality of other data acquisition modules, and the first data acquisition module is used for transmitting the monitoring data to a remote server module after receiving the monitoring data sent by each data acquisition module;
after receiving the monitoring data collected by different data acquisition modules from the first data acquisition module, the remote server module uses a machine learning algorithm to analyze and process the monitoring data to obtain an analysis result, and timely pushes a reminding message to related contacts under the condition that the analysis result is abnormal.
As a preferred embodiment of the present invention, among the different data acquisition modules, there are a first data acquisition module and a second data acquisition module up to an nth data acquisition module, and the first data acquisition module and the second data acquisition module up to the nth data acquisition module complete a change after each lapse of the preset first time interval.
As a preferred embodiment of the present invention, the first data acquisition module, and the second data acquisition module, until the nth data acquisition module completes a change after each preset first time interval, include the following steps:
Dividing the first time interval into N second time intervals, namely a second time interval 1 and a second time interval 2 until a second time interval N;
before the second time interval 1 ends, each data acquisition module randomly generates a notification message, if the notification message is generated, sends the notification message to each other data acquisition module, represents the intention of the data acquisition module sending the notification message to be a target data acquisition module, when the second time interval 1 ends, and if the data acquisition module sending the notification message does not receive the notification message from the other data acquisition modules, the data acquisition module sending the notification message is regarded as the target data acquisition module, otherwise, the data acquisition module with the highest priority among all the data acquisition modules sending the notification message is regarded as the target data acquisition module, and the target data acquisition module is regarded as a first data acquisition module;
before the second time interval 2 is finished, the same method as the method for determining the first data acquisition module is repeated respectively until the second time interval N is finished, so as to determine the second data acquisition module respectively until the nth data acquisition module.
As a preferable technical scheme of the invention, after each preset first time interval, the method completes one update of the first password value to the Nth password value stored by the data acquisition module, and comprises the following steps:
each other data acquisition module sends the self-stored first characteristic value to a first data acquisition module, the first data acquisition module respectively uses the self-stored main characteristic value and the received first characteristic value to generate a first password value, and the first data acquisition module respectively transmits the generated first password value to each corresponding other data acquisition module for storage;
each other data acquisition module sends the self-stored K characteristic value to the K data acquisition module, the K data acquisition module respectively uses the self-stored main characteristic value and the received K characteristic value to generate a K password value, and the K data acquisition module respectively transmits the generated K password value to each corresponding other data acquisition module for storage, wherein K is any integer greater than or equal to two and less than or equal to N.
As a preferred technical scheme of the invention, in different data acquisition modules, there are a first data acquisition module and a second data acquisition module up to an nth data acquisition module, wherein N is the same as the total number of secret levels corresponding to the monitoring data collected by the data acquisition modules.
As a preferable technical scheme of the invention, in the process that the data acquisition module passes through a plurality of other data acquisition modules and the collected monitoring data is transmitted to the first data acquisition module in an encrypted manner, the method comprises the following steps:
the first data acquisition module sets a marking value to zero, and sets a marking value threshold value in advance;
the method comprises the steps that a first data acquisition module sends first request information to the data acquisition modules except the first data acquisition module, the data acquisition module sends first reply information to the first data acquisition module after receiving the first request information, and the first reply information comprises ID values of the data acquisition modules and ID values of other data acquisition modules adjacent to the data acquisition module;
ending all steps under the condition that the position of the first data acquisition module is not changed, sending second request information to the adjacent data acquisition module by the first data acquisition module under the condition that the position of the first data acquisition module is changed, sending second reply information to the first data acquisition module by the adjacent data acquisition module after receiving the second request information, wherein the second reply information comprises an ID value of the adjacent data acquisition module, and determining the category of the adjacent data acquisition module by the first data acquisition module according to the second reply information;
Regenerating a transmission path of the monitoring data to a first data acquisition module under the condition that the adjacent data acquisition modules belong to the class D, setting the marking value to be zero, and skipping the step of the first data acquisition module to send the first request information;
judging whether the marking value is larger than the marking value threshold value or not under the condition that the adjacent data acquisition modules do not belong to the category D, and regenerating a transmission path of the monitoring data to the first data acquisition module under the condition that the marking value is larger than the marking value threshold value, setting the marking value to be zero, and skipping the first data acquisition module to send the first request information;
and under the condition that the marking value is smaller than or equal to the marking value threshold value, generating a new transmission path of the monitoring data to the first data acquisition module based on the transmission path of the monitoring data to the first data acquisition module before the position of the first data acquisition module is changed, accumulating the marking value, and skipping the first data acquisition module to send the first request information.
The invention also provides a system for optimizing and enhancing the reliability of the power distribution network, which comprises the following modules:
The data acquisition module is used for being arranged on different power distribution equipment, collecting monitoring data of the power distribution equipment, storing main characteristic values, a first characteristic value, a first password value, a second password value and a third password value, wherein the first characteristic value is up to an N characteristic value, the first password value corresponds to the first characteristic value, the second password value corresponds to the N characteristic value, the third password value corresponds to the N password value, after a preset first time interval is passed, one update of the stored first password value, the third password value and the third password value is completed, the data acquisition module is used for encrypting and transmitting the collected monitoring data to the first data acquisition module through a plurality of other data acquisition modules, and the first data acquisition module sends the monitoring data to the remote server module after receiving the monitoring data sent by the data acquisition module;
the external network module is used for carrying out data transmission between the first data acquisition module and the remote server module;
and the remote server module is used for analyzing and processing the monitoring data by using a machine learning algorithm after receiving the monitoring data collected by different data collecting modules from the first data collecting module to obtain an analysis result, and timely pushing a reminding message to related contacts under the condition that the analysis result is abnormal.
Compared with the prior art, the invention has the following beneficial effects:
firstly, respectively setting different data acquisition modules on different power distribution equipment, wherein the data acquisition modules are used for collecting monitoring data of the power distribution equipment, storing main characteristic values, and respectively corresponding first characteristic values to Nth characteristic values and first password values to Nth password values; secondly, each data acquisition module encrypts and transmits the collected monitoring data to a first data acquisition module through a plurality of other data acquisition modules, and the first data acquisition module sends the monitoring data to a remote server module; finally, the remote server module uses a machine learning algorithm to analyze and process the monitoring data to obtain an analysis result, and timely pushes reminding messages to related contacts under the condition that the analysis result is abnormal. The invention can reliably generate the password value with high safety while enhancing the reliability of the power distribution network, and is used for encrypting and transmitting the monitoring data.
Drawings
FIG. 1 is a flow chart of a method of optimizing and enhancing the reliability of a power distribution network according to the present invention;
FIG. 2 is a schematic diagram of class A of the present invention;
FIG. 3 is a schematic diagram of class B of the present invention;
FIG. 4 is a schematic diagram of class C of the present invention;
fig. 5 is a block diagram of a system for optimizing and enhancing the reliability of a power distribution network according to the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
It will be understood that the terms "first," "second," and the like, as used herein, may be used to describe various elements, but these elements are not limited by these terms unless otherwise specified. These terms are only used to distinguish one element from another element. For example, a first xx script may be referred to as a second xx script, and similarly, a second xx script may be referred to as a first xx script, without departing from the scope of the present application.
The invention provides a method for optimizing and enhancing the reliability of a power distribution network, which is shown in fig. 1, and is mainly realized by executing the following steps:
step 1, respectively setting different data acquisition modules on different power distribution equipment, wherein the data acquisition modules are used for collecting monitoring data of the power distribution equipment, meanwhile, communication connection is carried out among the different data acquisition modules, main characteristic values are stored in the data acquisition modules, the first characteristic values are up to an N characteristic value, first password values corresponding to the first characteristic values up to the N characteristic values respectively are up to the N password values, and after a preset first time interval is passed, one update of the stored first password values up to the N password values is completed;
Step 2, each data acquisition module encrypts and transmits the collected monitoring data to a first data acquisition module through a plurality of other data acquisition modules, and the first data acquisition module transmits the monitoring data to a remote server module after receiving the monitoring data transmitted by each data acquisition module;
and 3, after receiving the monitoring data collected by different data acquisition modules from the first data acquisition module, the remote server module uses a machine learning algorithm to analyze and process the monitoring data to obtain an analysis result, and timely pushes a reminding message to related contacts under the condition that the analysis result is abnormal.
Firstly, respectively setting different data acquisition modules on different power distribution equipment, wherein the data acquisition modules are responsible for collecting monitoring data of the power distribution equipment, the monitoring data refer to running data of the power distribution equipment, wherein the two different data acquisition modules can be mutually communicated, main characteristic values are also stored in the data acquisition modules, the first characteristic values are up to an N characteristic value, and the first characteristic values are up to an N characteristic value respectively corresponding to first password values, the main characteristic values are pre-generated, the first characteristic values are up to the N characteristic value, the first password value is up to the N characteristic value, a generation method of the first password value is introduced in the following, after a first time interval is passed, the data acquisition modules finish one-time updating of the first password value up to the N password value, namely the first password value stored by the data acquisition modules is not fixed and unchanged, but is dynamically updated, the safety of the first password value up to the N password value is enhanced, each data acquisition module respectively passes through a plurality of other data acquisition modules, the first password value is up to the N characteristic value, namely, a plurality of monitoring data acquisition modules are transmitted to the data acquisition modules A and B adjacent to the data acquisition modules, and a data acquisition module B can be used for transmitting the data acquisition path after the first data acquisition module and the monitoring module B, the data acquisition module is used for transmitting the data acquisition path to the data acquisition module, and the data acquisition module is provided with a plurality of the data acquisition monitoring module, and the data acquisition module is used for encrypting a data path after the data acquisition path is used, and finally, after receiving the monitoring data collected by different data acquisition modules from the first data acquisition module, the remote server module analyzes and processes the monitoring data by using a machine learning algorithm to obtain an analysis result, and under the condition that the analysis result is abnormal, for example, the analysis result shows that the probability of the power distribution equipment to fail can be ninety percent, and a reminding message is timely pushed to related contacts, so that the power distribution equipment is subjected to short maintenance in advance, or the power distribution equipment is directly and quickly replaced, thereby avoiding overlong power failure time caused by positioning the failed power distribution equipment in the future, and further improving the reliability of the power distribution network.
Further, among the different data acquisition modules, there are a first data acquisition module, and a second data acquisition module up to an nth data acquisition module, and the first data acquisition module, and the second data acquisition module up to the nth data acquisition module complete a change after each lapse of a preset first time interval.
Further, the first data acquisition module and the second data acquisition module complete a change after each preset first time interval until the nth data acquisition module, including the following steps:
step 1, dividing the first time interval into N second time intervals, namely a second time interval 1 and a second time interval 2 until a second time interval N;
step 2, each data acquisition module randomly generates notification messages before the second time interval 1 is finished, if the notification messages are generated, the notification messages are sent to each other data acquisition module, the intention of the data acquisition module sending the notification messages to become a target data acquisition module is represented, when the second time interval 1 is finished, the data acquisition module sending the notification messages is regarded as the target data acquisition module under the condition that the data acquisition module sending the notification messages does not receive the notification messages from the other data acquisition modules, otherwise, the data acquisition module with the highest priority in all the data acquisition modules sending the notification messages is regarded as the target data acquisition module, and the target data acquisition module is regarded as the first data acquisition module;
And 3, repeating the same method as the method for determining the first data acquisition module respectively before the second time interval 2 is over until the second time interval N is over, so as to determine the second data acquisition module respectively until the Nth data acquisition module.
Specifically, in step 1, the first time interval is divided into N second time intervals, namely, a second time interval 1, and a second time interval 2 until a second time interval N, in step 2, before the second time interval 1 ends, each data acquisition module randomly generates a notification message, that is, each data acquisition module may generate a notification message, or may not generate a notification message, if a notification message is generated, the notification message is sent to each other data acquisition module, meaning that the data acquisition module sending the notification message wants to become a target data acquisition module, and in the second time interval 1 ends, if the data acquisition module sending the notification message does not receive a notification message from another data acquisition module, indicating that no other data acquisition module wants to become a target data acquisition module, in step 2, the data acquisition module sending the notification message is regarded as a target data acquisition module, otherwise, the data acquisition module with the highest priority among all data acquisition modules sending the notification message may be regarded as a target data acquisition module, if the data acquisition module passes the data acquisition module and the first data acquisition module, and the second data acquisition module is repeatedly set to be the same as a target data acquisition module before the second time interval 3, and before the second time interval 1 ends, the data acquisition module is repeatedly invaded by the first time interval 3, and before the data acquisition module is repeatedly invaded by the second time interval is not at the first time interval 3, and before the data acquisition module is repeatedly subjected to the first time interval is completed, and the third data acquisition module is up to the Nth data acquisition module. It should be noted that, among the different data acquisition modules, the first data acquisition module is generated for the first time, and the second data acquisition module up to the nth data acquisition module may also use the methods from the 1 st step to the 3 rd step.
In addition, in the case that the total number of the data acquisition modules is changed, the first data acquisition module and the second data acquisition module complete a change through the method from the 1 st step to the 3 rd step, for example, a new data acquisition module is added or a failed data acquisition module is abandoned, and in the case that any one of the first data acquisition module, the second data acquisition module and the nth data acquisition module is invaded, the first data acquisition module and the second data acquisition module complete a change through the method from the 1 st step to the 3 rd step, and the change does not send a notification message through setting the invaded data acquisition module, so that the invaded data acquisition module is not used as a new first data acquisition module and the new second data acquisition module is not used as one of the new nth data acquisition module. By the method from the step 1 to the step 3, the data acquisition module generating the password value is not fixed and is dynamically changed, so that the reliability can be improved, and even if the data acquisition module generating the password value is invaded, the password value can be generated by other data acquisition modules.
Further, after each preset first time interval, one update of the first password value to the nth password value stored in the data acquisition module is completed, and the method comprises the following steps:
step 1, each other data acquisition module sends a first characteristic value stored by the first data acquisition module to the first data acquisition module, the first data acquisition module respectively uses the main characteristic value stored by the first data acquisition module and the received first characteristic value to generate a first password value, and the first data acquisition module respectively transmits the generated first password value to each corresponding other data acquisition module for storage;
and 2, each other data acquisition module sends the self-stored K characteristic value to the K data acquisition module, the K data acquisition module respectively uses the self-stored main characteristic value and the received K characteristic value to generate a K password value, and the K data acquisition module respectively transmits the generated K password value to each corresponding other data acquisition module for storage, wherein K is any integer greater than or equal to two and less than or equal to N.
Specifically, according to the above, after each first time interval, the first data acquisition module and the second data acquisition module complete a change until the nth data acquisition module, and at the same time, the first password value stored in the data acquisition module can be updated once until the nth password value is updated, in step 1, each other data acquisition module sends the first characteristic value stored in itself to the first data acquisition module, the first data acquisition module generates the first password value by using the main characteristic value stored in itself and the received first characteristic value, the specific generation method may be encryption processing the main characteristic value stored in itself and the received first characteristic value, then the first data acquisition module transmits the generated first password value to each other data acquisition module corresponding to the first characteristic value transmitted to the first data acquisition module, in step 2, each other data acquisition module sends the K characteristic value stored in itself to the kth data acquisition module by repeating the method in step 1, so as to obtain the kth password value, where K refers to any data acquisition module which is equal to or greater than two integers and less than N and is the first data acquisition module which needs to acquire the first characteristic value and the first data acquisition module. By the method, the first password value and the N-th password value stored by the data acquisition module are dynamically changed, and when the password value is used for encrypted transmission of the monitoring data, the safety can be improved.
Further, in the different data acquisition modules, a first data acquisition module and a second data acquisition module are arranged until an nth data acquisition module, wherein the total number of secret levels corresponding to the monitoring data collected by the data acquisition modules is the same.
Specifically, N is the same as the total number of secret levels corresponding to the monitored data collected by the data collection module, and is also the same as the total number of password values stored by the data collection module, according to the above, the generation of the password values is related to the main feature values and the feature values, different password values are generated by different main feature values and feature values, the complexity of different password values is also different, when the data collection module performs encrypted transmission of the monitored data through the password values, different password values can be selected according to the secret levels corresponding to the monitored data, the higher the secret level is, the more complex the used password value is, for example, the higher the secret level corresponding to the monitored data is, the first password value is selected to be used because the complexity of the first password value in all the password values is the highest, in this way, for the monitored data with higher corresponding secret levels, the encrypted transmission is safer because the higher the complexity of the password values is, the higher the difficulty of being cracked is, for the monitored data with lower corresponding secret levels, the efficiency of encrypted transmission can be improved, the lower the complexity of the password values is, and the processing time is less spent.
Further, in the process that the data acquisition module passes through a plurality of other data acquisition modules and transmits the collected monitoring data to the first data acquisition module in an encrypted manner, the method comprises the following steps:
step 1, a first data acquisition module sets a marking value to be zero, and a marking value threshold value is preset;
step 2, the first data acquisition module sends first request information to the data acquisition modules except the first data acquisition module, and after the first request information is received, the data acquisition module sends first reply information to the first data acquisition module, wherein the first reply information comprises the ID value of the data acquisition module and the ID values of other data acquisition modules adjacent to the data acquisition module;
step 3, under the condition that the position of the first data acquisition module is not changed, ending all the steps, under the condition that the position of the first data acquisition module is changed, the first data acquisition module sends second request information to the adjacent data acquisition module, the adjacent data acquisition module sends second reply information to the first data acquisition module after receiving the second request information, the second reply information comprises the ID value of the adjacent data acquisition module, and the first data acquisition module determines the category to which the adjacent data acquisition module belongs according to the second reply information;
Step 4, regenerating a transmission path of the monitoring data to the first data acquisition module under the condition that the adjacent data acquisition modules belong to the class D, setting a marking value to be zero, and skipping the first data acquisition module to send first request information;
step 5, judging whether the marking value is larger than a marking value threshold value under the condition that the adjacent data acquisition modules do not belong to the category D, and regenerating a transmission path of monitoring data to the first data acquisition module under the condition that the marking value is larger than the marking value threshold value, setting the marking value to be zero, and skipping the first data acquisition module to send first request information;
and step 6, under the condition that the marking value is smaller than or equal to the marking value threshold value, generating a new transmission path of the monitoring data to the first data acquisition module based on the transmission path of the monitoring data to the first data acquisition module before the position of the first data acquisition module is changed, accumulating the marking value, and skipping the first data acquisition module to send the first request information.
Specifically, in the process that the data acquisition module encrypts and transmits the collected monitoring data to the first data acquisition module through a plurality of other data acquisition modules, the position of the first data acquisition module may change due to the change of electricity load and the like, a new transmission path of the monitoring data to the first data acquisition module needs to be generated at this time, and the whole transmission path is generally regenerated, but in doing so, a lot of time is spent, the transmission of the monitoring data is delayed, and the reliability of the power distribution network is further affected, and in order to solve the problem, the step 1 to the step 6 are provided;
For easy understanding, the above description will be given first, referring to fig. 2, where the data acquisition module with the ID value of 56 belongs to the category a, the dashed frame represents the first data acquisition module before the position is changed, the solid frame represents the first data acquisition module after the position is changed, the first data acquisition module changes from the position of the dashed frame to the position of the solid frame, that is, to the vicinity of the data acquisition module with the ID value of 56, the data acquisition module with the ID value of 56 is separated from the dashed frame by two communication distances, and the new path length is reduced by one communication distance, so that, when the first data acquisition module changes to the vicinity of the data acquisition module originally separated from the data acquisition module by P communication distances, where P is greater than or equal to 2, the new path length is reduced by P-1 communication distance; referring to fig. 3, the data acquisition module with the ID value of 60 belongs to the class B, the dashed frame represents the first data acquisition module before the position is changed, the solid frame represents the first data acquisition module after the position is changed, the first data acquisition module is changed from the position of the dashed frame to the position of the solid frame, that is, to the vicinity of the data acquisition module with the ID value of 60, and the data acquisition module with the ID value of 60 is the adjacent data acquisition module originally separated from the dashed frame by two communication distances, at this time, the new path length is unchanged; referring to fig. 4, the data acquisition module with an ID value of 62 belongs to a class C, the dashed frame represents the first data acquisition module before the position is changed, the solid frame represents the first data acquisition module after the position is changed, the first data acquisition module is changed from the position of the dashed frame to the position of the solid frame, that is, to the vicinity of the data acquisition module with an ID value of 62, the data acquisition module with an ID value of 62 is an adjacent data acquisition module originally separated from the dashed frame by a communication distance, and the new path length is increased by a communication distance.
Then explaining the above step 1 to step 6, in step 1, because the transmission path before the position of the first data acquisition module is changed is repeatedly executed to generate a new transmission path, which may complicate the transmission path, so the first data acquisition module sets the flag value to zero and sets the flag value threshold in advance, in step 2, the first data acquisition module sends the first request information to the data acquisition modules other than itself, after receiving the first request information, the data acquisition module sends the first reply information to the first data acquisition module, the first reply information includes the ID value of the data acquisition module, and the ID value of the other data acquisition module adjacent to the data acquisition module, adjacent means that a communication distance is separated, through step 2, the first data acquisition module can grasp the positional relationship between all data acquisition modules, in step 3, if the position of the first data acquisition module does not change, end all steps, otherwise, the first data acquisition module sends the second request information to the adjacent data acquisition module, after receiving the first request information, the first reply information includes the ID value of the first data acquisition module, and when the first data acquisition module is in combination with the first reply information, the first reply information is higher than the second data acquisition module, the first data acquisition module can reply the first data acquisition module, the adjacent data acquisition module can grasp the positional relationship between all data acquisition modules, in a higher priority, if the first data acquisition module has a priority, and a priority is a priority, in step 4, if the adjacent data acquisition module belongs to the class D, the transmission path of the monitoring data to the first data acquisition module is regenerated, the flag value is set to zero, step 2 is skipped, in step 5, if the adjacent data acquisition module does not belong to the class D, it is judged whether the flag value is greater than the flag value threshold, if so, the transmission path of the monitoring data regenerated to the first data acquisition module is regenerated, the flag value is set to zero, step 2 is skipped, since the transmission path has become too complicated at this time, the transmission path should be regenerated, in step 6, if the flag value is less than or equal to the flag value threshold, the transmission path of the monitoring data to the first data acquisition module before the position of the first data acquisition module is changed, and the determined class of the adjacent data acquisition module, a new transmission path of the monitoring data to the first data acquisition module is generated using a corresponding method, the flag value is accumulated, step 2 is skipped, wherein the adjacent data acquisition module belongs to the class a and accumulates 0, the adjacent data acquisition module belongs to the class B and the adjacent data acquisition module belongs to the accumulated class C2.
According to another aspect of the embodiment of the present invention, referring to fig. 5, there is further provided a system for optimizing and enhancing reliability of a power distribution network, which is used for implementing the method for optimizing and enhancing reliability of a power distribution network, including a data acquisition module, an external network module, and a remote server module, where functions of each module are as follows:
the data acquisition module is used for being arranged on different power distribution equipment, collecting monitoring data of the power distribution equipment, storing main characteristic values, a first characteristic value, a first password value, a second password value and a third password value, wherein the first characteristic value is up to an N characteristic value, the first password value corresponds to the first characteristic value, the second password value corresponds to the N characteristic value, the third password value corresponds to the N password value, after a preset first time interval is passed, one update of the stored first password value, the third password value and the third password value is completed, the data acquisition module is used for encrypting and transmitting the collected monitoring data to the first data acquisition module through a plurality of other data acquisition modules, and the first data acquisition module sends the monitoring data to the remote server module after receiving the monitoring data sent by the data acquisition module;
the external network module is used for carrying out data transmission between the first data acquisition module and the remote server module;
And the remote server module is used for analyzing and processing the monitoring data by using a machine learning algorithm after receiving the monitoring data collected by different data collecting modules from the first data collecting module to obtain an analysis result, and timely pushing a reminding message to related contacts under the condition that the analysis result is abnormal.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in various embodiments may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the sub-steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of the sub-steps or stages of other steps or other steps.
Those skilled in the art will appreciate that implementing all or part of the above-described methods may be accomplished by way of computer programs, which may be stored on a non-transitory computer readable storage medium, and which, when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The technical features of the above embodiments may be arbitrarily combined, and for brevity, all of the possible combinations of the technical features of the above embodiments are not described, however, they should be considered as the scope of the description of the present specification as long as there is no contradiction between the combinations of the technical features.
The foregoing examples have been presented to illustrate only a few embodiments of the invention and are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (7)
1. A method for optimizing and enhancing the reliability of a power distribution network, comprising the steps of:
Different data acquisition modules are respectively arranged on different power distribution equipment, the data acquisition modules are used for collecting monitoring data of the power distribution equipment, meanwhile, communication connection is carried out among the different data acquisition modules, main characteristic values are stored in the data acquisition modules, the first characteristic values are up to an N characteristic value, first password values corresponding to the first characteristic values up to the N characteristic values respectively are up to the N password values, and after a preset first time interval is passed, one update of the stored first password values up to the N password values is completed;
each data acquisition module is used for encrypting and transmitting the collected monitoring data to a first data acquisition module through a plurality of other data acquisition modules, and the first data acquisition module is used for transmitting the monitoring data to a remote server module after receiving the monitoring data sent by each data acquisition module;
after receiving the monitoring data collected by different data acquisition modules from the first data acquisition module, the remote server module uses a machine learning algorithm to analyze and process the monitoring data to obtain an analysis result, and timely pushes a reminding message to related contacts under the condition that the analysis result is abnormal.
2. A method of optimizing the reliability of a power distribution network according to claim 1, wherein among the different data acquisition modules, there is a first data acquisition module and a second data acquisition module up to an nth data acquisition module, and the first data acquisition module and the second data acquisition module up to the nth data acquisition module complete a change after each lapse of the preset first time interval.
3. A method of optimizing the reliability of a power distribution network according to claim 2, wherein the first data acquisition module, and the second data acquisition module, until the nth data acquisition module, complete a change after each of said first predetermined time intervals, comprises the steps of:
dividing the first time interval into N second time intervals, namely a second time interval 1 and a second time interval 2 until a second time interval N;
before the second time interval 1 ends, each data acquisition module randomly generates a notification message, if the notification message is generated, sends the notification message to each other data acquisition module, represents the intention of the data acquisition module sending the notification message to be a target data acquisition module, when the second time interval 1 ends, and if the data acquisition module sending the notification message does not receive the notification message from the other data acquisition modules, the data acquisition module sending the notification message is regarded as the target data acquisition module, otherwise, the data acquisition module with the highest priority among all the data acquisition modules sending the notification message is regarded as the target data acquisition module, and the target data acquisition module is regarded as a first data acquisition module;
Before the second time interval 2 is finished, the same method as the method for determining the first data acquisition module is repeated respectively until the second time interval N is finished, so as to determine the second data acquisition module respectively until the nth data acquisition module.
4. A method of optimizing reliability of a power distribution network according to claim 3, wherein each time a predetermined first time interval elapses, a first up to nth update of the first cryptographic value stored by the data acquisition module is completed, comprising the steps of:
each other data acquisition module sends the self-stored first characteristic value to a first data acquisition module, the first data acquisition module respectively uses the self-stored main characteristic value and the received first characteristic value to generate a first password value, and the first data acquisition module respectively transmits the generated first password value to each corresponding other data acquisition module for storage;
each other data acquisition module sends the self-stored K characteristic value to the K data acquisition module, the K data acquisition module respectively uses the self-stored main characteristic value and the received K characteristic value to generate a K password value, and the K data acquisition module respectively transmits the generated K password value to each corresponding other data acquisition module for storage, wherein K is any integer greater than or equal to two and less than or equal to N.
5. The method of claim 4, wherein among the different data acquisition modules, there is a first data acquisition module and a second data acquisition module up to an nth data acquisition module, wherein N is the same as the total number of secret levels corresponding to the monitoring data collected by the data acquisition modules.
6. The method for optimizing and enhancing reliability of a power distribution network according to claim 5, wherein in the process that the data acquisition module passes through a plurality of other data acquisition modules and the collected monitoring data is encrypted and transmitted to the first data acquisition module, the method comprises the following steps:
the first data acquisition module sets a marking value to zero, and sets a marking value threshold value in advance;
the method comprises the steps that a first data acquisition module sends first request information to the data acquisition modules except the first data acquisition module, the data acquisition module sends first reply information to the first data acquisition module after receiving the first request information, and the first reply information comprises ID values of the data acquisition modules and ID values of other data acquisition modules adjacent to the data acquisition module;
Ending all steps under the condition that the position of the first data acquisition module is not changed, sending second request information to the adjacent data acquisition module by the first data acquisition module under the condition that the position of the first data acquisition module is changed, sending second reply information to the first data acquisition module by the adjacent data acquisition module after receiving the second request information, wherein the second reply information comprises an ID value of the adjacent data acquisition module, and determining the category of the adjacent data acquisition module by the first data acquisition module according to the second reply information;
regenerating a transmission path of the monitoring data to a first data acquisition module under the condition that the adjacent data acquisition modules belong to the class D, setting the marking value to be zero, and skipping the step of the first data acquisition module to send the first request information;
judging whether the marking value is larger than the marking value threshold value or not under the condition that the adjacent data acquisition modules do not belong to the category D, and regenerating a transmission path of the monitoring data to the first data acquisition module under the condition that the marking value is larger than the marking value threshold value, setting the marking value to be zero, and skipping the first data acquisition module to send the first request information;
And under the condition that the marking value is smaller than or equal to the marking value threshold value, generating a new transmission path of the monitoring data to the first data acquisition module based on the transmission path of the monitoring data to the first data acquisition module before the position of the first data acquisition module is changed, accumulating the marking value, and skipping the first data acquisition module to send the first request information.
7. A system for optimizing and enhancing the reliability of a power distribution network, for implementing the method according to any one of claims 1-6, comprising the following modules:
the data acquisition module is used for being arranged on different power distribution equipment, collecting monitoring data of the power distribution equipment, storing main characteristic values, a first characteristic value, a first password value, a second password value and a third password value, wherein the first characteristic value is up to an N characteristic value, the first password value corresponds to the first characteristic value, the second password value corresponds to the N characteristic value, the third password value corresponds to the N password value, after a preset first time interval is passed, one update of the stored first password value, the third password value and the third password value is completed, the data acquisition module is used for encrypting and transmitting the collected monitoring data to the first data acquisition module through a plurality of other data acquisition modules, and the first data acquisition module sends the monitoring data to the remote server module after receiving the monitoring data sent by the data acquisition module;
The external network module is used for carrying out data transmission between the first data acquisition module and the remote server module;
and the remote server module is used for analyzing and processing the monitoring data by using a machine learning algorithm after receiving the monitoring data collected by different data collecting modules from the first data collecting module to obtain an analysis result, and timely pushing a reminding message to related contacts under the condition that the analysis result is abnormal.
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