CN112671110A - Remote switch remote control operation method based on artificial intelligence - Google Patents
Remote switch remote control operation method based on artificial intelligence Download PDFInfo
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- CN112671110A CN112671110A CN202110286226.2A CN202110286226A CN112671110A CN 112671110 A CN112671110 A CN 112671110A CN 202110286226 A CN202110286226 A CN 202110286226A CN 112671110 A CN112671110 A CN 112671110A
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Abstract
The embodiment of the application provides a remote switch remote control operation method based on artificial intelligence, which comprises the steps of receiving a remote operation instruction aiming at a switch sent by a user, and analyzing the remote operation instruction to obtain an operation ticket; extracting the ticket face information of the operation ticket based on an artificial intelligent neural network algorithm, respectively storing the extracted operation ticket elements into different types of rotary storage units according to whether membership exists, and judging the operation ticket corresponding to the rotation vector of the adjusted rotary storage unit and the ticket face information lower than a threshold value as a monitoring operation ticket passing verification; and performing topology anti-error check on the monitoring operation ticket, and completing switch remote operation based on operation information in the switch operation area. By introducing the rotary storage unit for storing the operation ticket elements of different levels and taking the rotary vector of the rotary storage unit as the standard whether the ticket check logic is passed or not, the error rate of manual check is reduced, and the check efficiency and precision are improved.
Description
Technical Field
The application relates to the field of switch operation, in particular to a remote switch remote control operation method based on artificial intelligence.
Background
In the current planned maintenance service, a regulator can finally complete a series of mutually split processes and operations such as a maintenance list, a scheduling instruction ticket, a monitoring remote control ticket and field operation, an Energy Management System (EMS) only realizes the service process support of each independent link and the remote control function of part of primary and secondary equipment, and the requirements of penetration and cooperation among the service processes, remote operation, integrated safety, error prevention and the like are not considered comprehensively; it can be expected that with the continuous deepening of the integrated regulation and control work, the equipment scale is rapidly increased, the depth and the range of remote operation are continuously enlarged, the corresponding management system and the regulation and control technology support system are not fully adjusted, the risk of mistaken entering equipment intervals, mistaken unlocking and misoperation still exists in the power grid operation under the situation that the safe operation level and the requirement of a server are continuously improved, the whole service is mutually split and is not coherent, the efficiency is influenced, and the intelligent technology popularization and the high-level application are in the chord.
The existing regulation and control technology support system (EMS) does not comprehensively consider remote operation and anti-error requirements, the dispatching power failure intelligent management and control platform is designed according to an operation mode ordered by networking, the full integration of the remote operation is lacked, and the current regulation and control personnel on-duty mode cannot meet the high-efficiency operation requirement of a power grid along with the continuous expansion of the depth and range of the remote operation.
Disclosure of Invention
The embodiment of the application provides a remote switch remote control operation method based on artificial intelligence, and by introducing the rotary storage unit for storing operation ticket elements of different levels and taking the rotary vector of the rotary storage unit as a standard for judging whether the ticket passes the ticket surface check logic, the error rate of artificial check is reduced, and the check efficiency and precision are improved.
Specifically, the remote switch remote control operation method based on artificial intelligence provided by the embodiment of the application includes:
receiving a remote operation instruction aiming at a switch sent by a user, and analyzing the remote operation instruction to obtain an operation ticket;
extracting the face information of the operation ticket based on an artificial intelligent neural network algorithm, respectively storing the extracted operation ticket elements into different types of rotary storage units according to whether membership exists, performing face logic verification by taking the rotary storage units as units, adjusting the rotary vector of the rotary storage units for storing the same type of operation ticket elements according to the verification result, and judging the rotary vector of the adjusted rotary storage units and the operation ticket corresponding to the face information lower than a threshold value as a monitoring operation ticket passing the verification;
performing topology anti-error check on the monitoring operation ticket, and transmitting the checked monitoring operation ticket to a safety area isolated from the switch operation area;
analyzing the monitoring operation ticket in the safety area to obtain operation information including expected parameters of the switch, and transmitting the operation information to the switch operation area;
adjusting the execution sequence of the subsequent received remote operation instructions according to the adjusted rotation vector;
wherein, each rotation storage unit is preset with the same rotation vector.
Optionally, the receiving a remote operation instruction for the switch sent by the user, and analyzing the remote operation instruction to obtain an operation ticket includes:
receiving a remote operation instruction which is sent by a user on the dispatching power failure intelligent control platform and used for dispatching on-off of the switch;
and extracting operation information including operator information, to-be-processed operation switch information, an instruction port number and a random verification code from the remote operation instruction, filling the operation information into an operation ticket template, and generating an operation ticket corresponding to the remote operation instruction.
Optionally, the extracting of the face information of the operation ticket based on the artificial intelligent neural network algorithm, storing the extracted operation ticket elements in different types of rotating storage units according to whether membership exists, performing face logic check by using the rotating storage units as a unit, adjusting a rotation vector of the rotating storage unit for storing the same type of operation ticket elements according to a check result, and determining the operation ticket corresponding to the rotation vector of the rotating storage unit after adjustment and the face information lower than a threshold as a monitoring operation ticket passing the check, includes:
extracting operation order elements including operator information, to-be-processed operation switch information, an instruction port number and a random verification code from an operation order according to project contents contained in an operation order template and by combining an artificial intelligent neural network algorithm;
according to different categories of the obtained operation order elements, storing the operation order elements without logic dependency relationship into a first rotary storage unit as first category elements, and storing the operation order elements belonging to the first category elements into a second rotary storage unit as second category elements;
performing data format verification according to the data type corresponding to the operation order element stored in the first rotating storage unit to obtain a first verification result;
performing data format verification based on the logical relationship on the operation ticket elements stored in the second rotating storage unit according to the operation ticket elements stored in the first rotating storage unit to obtain a second verification result;
respectively adjusting the rotation vectors of the first rotation storage unit and the second rotation storage unit according to the first check result and the second check result, and solving the sum of the rotation vectors of the first rotation storage unit and the second rotation storage unit after adjustment;
and if the sum of the rotation vectors is lower than the threshold value, judging the operation ticket corresponding to the ticket surface information to which the current operation ticket element belongs as a monitoring operation ticket passing the verification, and otherwise, taking the operation ticket as an operation ticket to be refuted.
Optionally, the adjusting the rotation vectors of the first rotation storage unit and the second rotation storage unit according to the first check result and the second check result, and obtaining the sum of the rotation vectors of the adjusted first rotation storage unit and the adjusted second rotation storage unit includes:
acquiring the number of operation order elements which do not pass the data format verification in the first verification result as a first adjusting value, and acquiring the number of operation order elements which do not pass the data format verification in the second verification result as a second adjusting value;
respectively adjusting the rotation vectors of the first rotation storage unit and the second rotation storage unit according to the numerical values of the first adjustment value and the second adjustment value and the minimum adjustment unit to obtain the adjusted rotation vector of the first rotation storage unit and the adjusted rotation vector of the second rotation storage unit;
and calculating the sum of the modulus value of the rotation vector of the adjusted first rotation storage unit and the modulus value of the rotation vector of the second rotation storage unit according to the vector operation rule, and taking the obtained sum as the rotation vector sum of the adjusted first rotation storage unit and the second rotation storage unit.
Optionally, the topology anti-error checking is performed on the monitoring operation ticket, and the monitoring operation ticket after being checked is transmitted to a security area isolated from the switch operation area, including:
the topology anti-error check rule is utilized to complete the operation topology anti-error check, and if the check is not passed, the execution is not allowed;
after the checking is passed, checking the point number according to a standard point number table provided automatically and the EMS remote control point number, and if the checking is not passed, the execution is not allowed; or checking whether the unreset signal check influencing the remote control operation of the switch fails by using EMS alarm information, and if not, not allowing the execution; or by using an intelligent voice platform, the system automatically contacts the station operation and maintenance class to which the instruction belongs through a voice telephone, the voice communication confirms whether remote control operation is available or not, and if the check fails, the execution is not allowed; or the identity of the operator is authenticated by face recognition and short message verification technology, and the monitoring operation ticket is sent to a safety area isolated from the switch operation area after the authentication is passed.
Optionally, the analyzing the monitoring operation ticket in the security area to obtain operation information including expected parameters of the switch, and transmitting the operation information to the switch operation area includes:
decomposing the received operation information in the security area to obtain a device ID and a state code corresponding to the EMS;
and after decomposition, the information is automatically sent to an EMS system in the switching operation area, and the guardian completes switching operation according to the information obtained by decomposition in the interval of automatic pop-up operation of the EMS system and the monitoring interface.
Optionally, decomposing the received operation information in the security area to obtain the device ID and the status code corresponding to the EMS includes:
if the received operation information comprises tasks aiming at a plurality of switches, sequencing according to switch numbers to generate an operation sequence;
and completing the switching operation according to the generated operation sequence.
Optionally, the method further includes an operation of rechecking the switch state, where rechecking the switch state includes:
judging the current equipment state by acquiring the load flow information and the equipment displacement information of the EMS equipment of the operating equipment, and checking the current equipment state with the equipment state to be completed by the operating task;
and an intelligent voice platform is utilized to wait for a field telephone call to inform the system of the operation condition, so that the flow closed loop is realized.
Optionally, the adjusting the execution sequence of the subsequent received remote operation instruction according to the adjusted rotation vector includes:
after the operation ticket elements stored in each rotation storage unit are verified, modifying the rotation vectors corresponding to the rotation storage units according to the verification duration, and counting the vector change values of all the rotation vectors included in each operation ticket;
performing instruction accuracy evaluation on the operation ticket corresponding to the operation ticket element by combining the obtained vector change value;
and adjusting the instruction weight value of the user corresponding to the operation ticket according to the evaluation result.
Optionally, the method further includes:
after the switch remote operation is completed based on the operation information in the switch operation area for the first time, acquiring instruction weight values of a plurality of users;
sequencing remote operation instructions sent by a user based on the instruction weight values;
and sequentially responding to the remote operation instruction from front to back according to the sequencing result.
Has the advantages that:
by introducing the rotary storage unit for storing the operation ticket elements of different levels and taking the rotary vector of the rotary storage unit as the standard whether the ticket check logic is passed or not, the error rate of manual check is reduced, and the check efficiency and precision are improved.
Drawings
In order to more clearly illustrate the technical solutions of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a flowchart of a remote switch remote control operation method based on artificial intelligence according to an embodiment of the present application.
Detailed Description
To make the structure and advantages of the present application clearer, the structure of the present application will be further described with reference to the accompanying drawings.
Specifically, the remote control method for a remote switch based on artificial intelligence provided by the embodiment of the present application, as shown in fig. 1, includes:
11. receiving a remote operation instruction aiming at a switch sent by a user, and analyzing the remote operation instruction to obtain an operation ticket;
12. extracting the face information of the operation ticket based on an artificial intelligent neural network algorithm, respectively storing the extracted operation ticket elements into different types of rotary storage units according to whether membership exists, performing face logic verification by taking the rotary storage units as units, adjusting the rotary vector of the rotary storage units for storing the same type of operation ticket elements according to the verification result, and judging the rotary vector of the adjusted rotary storage units and the operation ticket corresponding to the face information lower than a threshold value as a monitoring operation ticket passing the verification;
13. performing topology anti-error check on the monitoring operation ticket, and transmitting the checked monitoring operation ticket to a safety area isolated from the switch operation area;
14. analyzing the monitoring operation ticket in the safety area to obtain operation information including expected parameters of the switch, and transmitting the operation information to the switch operation area;
15. adjusting the execution sequence of the subsequent received remote operation instructions according to the adjusted rotation vector;
wherein, each rotation storage unit is preset with the same rotation vector.
In implementation, the embodiment of the application provides a remote switch remote control operation method based on artificial intelligence, which is used for replacing the technical scheme that manual control auditing is required for switching on and off of a switch in the existing line regulation and control technology. In the technical scheme of the application, the probability of errors possibly occurring in the remote operation of the switch is reduced by introducing a mode of performing ticket surface logic check on the operation ticket and performing topology anti-error check on the monitoring operation ticket. A series of information extraction schemes such as an artificial intelligent neural network algorithm are introduced in the step of ticket logic check, and the ticket logic check result is reflected based on vector adjustment of the rotary storage unit in an original manner, so that the efficiency and the accuracy of the check process can be obviously improved.
Optionally, the step of obtaining the operation ticket proposed in step 11 briefly includes:
111. receiving a remote operation instruction which is sent by a user on the dispatching power failure intelligent control platform and used for dispatching on-off of the switch;
112. and extracting operation information including operator information, to-be-processed operation switch information, an instruction port number and a random verification code from the remote operation instruction, filling the operation information into an operation ticket template, and generating an operation ticket corresponding to the remote operation instruction.
In implementation, the operation ticket processed in the embodiment of the present application is generated based on a remote operation instruction sent by a user on the scheduling power outage intelligent management and control platform according to the power line monitoring data. The operation ticket obtained here is identical to the operation ticket in the prior art in form and content, and both include operation information including operator information, information of the operation switch to be processed, an instruction port number, and a random verification code, and this part of content is not an innovation point of the present application, and is not described here again.
Optionally, the process of obtaining the monitoring operation ticket after performing the ticket face logic verification based on the rotating storage unit, which is proposed in step 12, includes:
121. extracting operation order elements including operator information, to-be-processed operation switch information, an instruction port number and a random verification code from an operation order according to project contents contained in an operation order template and by combining an artificial intelligent neural network algorithm;
122. according to different categories of the obtained operation order elements, storing the operation order elements without logic dependency relationship into a first rotary storage unit as first category elements, and storing the operation order elements belonging to the first category elements into a second rotary storage unit as second category elements;
123. performing data format verification according to the data type corresponding to the operation order element stored in the first rotating storage unit to obtain a first verification result;
124. performing data format verification based on the logical relationship on the operation ticket elements stored in the second rotating storage unit according to the operation ticket elements stored in the first rotating storage unit to obtain a second verification result;
125. respectively adjusting the rotation vectors of the first rotation storage unit and the second rotation storage unit according to the first check result and the second check result, and solving the sum of the rotation vectors of the first rotation storage unit and the second rotation storage unit after adjustment;
126. and if the sum of the rotation vectors is lower than the threshold value, judging the operation ticket corresponding to the ticket surface information to which the current operation ticket element belongs as a monitoring operation ticket passing the verification, and otherwise, taking the operation ticket as an operation ticket to be refuted.
In the implementation, in the prior art, the process of performing the ticket logic check on the operation ticket is performed manually, but in the technical scheme provided by the application, the concept of the innovative rotation storage unit is provided, and the ticket logic check operation performed by relying on the concept is specifically as follows:
step one, corresponding to step 121, is to perform feature value extraction on the complete operation ticket obtained in the previous step 11, where the feature value is to analyze the remote operation instruction to obtain an operation ticket element, and a detailed algorithm for performing feature value extraction in this step can be implemented based on various algorithms such as an artificial intelligence neural network algorithm, which is not described herein again.
And step two, correspondingly 122, classifying the operation order elements including the operator information, the to-be-processed operation switch information, the instruction port number and the random verification code according to different categories, for example, classifying data without dependence and affiliation relation among the operator information, the to-be-processed operation switch information, the instruction port number and the like into first-class elements, and storing the first-class elements in the first rotary storage unit. And the data such as the name, the job number, the contact information and the like of the operator obviously belonging to the information of the operator are stored in the second rotary storage unit as second type elements.
A typical example of partitioning is:
the first type of element: operator information, to-be-processed operation switch information, instruction port number, and random authentication code
The second type of element: the name, work number and contact information of the operator (belonging to the information of the operator);
the second type of element: the switch number, the switch state and the circuit to which the switch belongs are abbreviated (belonging to the information of the operation switch to be processed).
It should be noted that the rotating storage unit proposed in this embodiment is a theoretical data storage structure, and is not a physical storage medium. A set of rotation vectors is provided corresponding to each rotation storage unit, the number of elements in the rotation vectors can be set according to actual conditions, and only one element, namely a single element vector, is taken in the embodiment.
The purpose of setting the rotation storage unit in this step is to perform a series of processing on the elements in the data storage structure according to a preset rule, and then use the corresponding rotation vector as an expression form of the processing result, so as to reflect the difference between the elements in the processing process and the preset rule.
In this embodiment, the preset rule is a ticket check logic, the rule for the first type element is that the operator information does not include power line information, only short characters, pure numbers and other data which may be the operator information can be present, and the to-be-processed operation switch system information includes line information formed by chinese characters and numbers, switch numbers and other contents. The rule for the second type element is a strict judgment condition that the length of the name data of the operator must not exceed four bytes, the job number must be a pure number, and the contact information is limited to 11 digits.
And step three, corresponding to the step 123 and the step 125, verifying the operation order elements stored in the two types of rotating storage units based on a preset rule to obtain a first verification result and a second verification result. In essence, the verification result represents the number of specific instances that do not meet the preset rule in the two types of elements, and the larger the number of elements that do not meet the preset rule, the larger the number of the first verification result and the second verification result obtained finally. In this embodiment, to reflect the different weights of the element levels, the first check result may be scaled up in the final rotation vector sum.
For example, the first verification result is 2, the second verification result is 8, and the first verification result is scaled up by 10 in the process of calculating the sum of the rotation vectors, that is, 2 × 10+8= 28.
Specifically, the step of calculating the sum of the rotation vectors may be divided in detail, including:
1251. and acquiring the number of the operation order elements which do not pass the data format verification in the first verification result as a first adjusting value, and acquiring the number of the operation order elements which do not pass the data format verification in the second verification result as a second adjusting value.
1252. Respectively adjusting the rotation vectors of the first rotation storage unit and the second rotation storage unit according to the numerical values of the first adjustment value and the second adjustment value and the minimum adjustment unit to obtain the adjusted rotation vector of the first rotation storage unit and the adjusted rotation vector of the second rotation storage unitThe vector of rotation. Unlike the simple way of defining the result as a single value in the foregoing example, in the actual operation configuration, the rotation vector is a rotation function corresponding to a specific value, for example, a vector configured by a trigonometric function
The first regulation value is now
The second regulation value is
The process of adjusting the rotation vectors of the first rotation storage unit and the second rotation storage unit according to the values of the first adjustment value and the second adjustment value is a process of obtaining a trigonometric function value.
1253. And calculating the sum of the modulus value of the rotation vector of the adjusted first rotation storage unit and the modulus value of the rotation vector of the second rotation storage unit according to the vector operation rule, and taking the obtained sum as the rotation vector sum of the adjusted first rotation storage unit and the second rotation storage unit. Generally by the cosine theorem. This step belongs to the mathematical operation process and is not described in detail.
And step four, correspondingly 126, judging that the operation ticket is a monitoring operation ticket on the premise that the sum of the rotation vectors is lower than the threshold value, and otherwise, judging that the operation ticket is an operation ticket to be refuted.
In conclusion, the process of obtaining the monitoring operation ticket after the ticket logic verification based on the rotary storage unit is introduced in the step to replace the existing manual ticket logic verification process, and finally, the ticket logic verification result is reflected in a simple form that whether the rotation vector corresponding to the rotary storage unit is lower than the threshold value or not.
Optionally, after the ticket face logic check, it is further required to perform a logic operation on whether the switching adjustment operation embodied by the monitoring operation ticket causes a line fault, where step 13 is a topology anti-error check, and the specific operations include:
131. the topology anti-error check rule is utilized to complete the operation topology anti-error check, and if the check is not passed, the execution is not allowed;
132. after the checking is passed, checking the point number according to a standard point number table provided automatically and the EMS remote control point number, and if the checking is not passed, the execution is not allowed; or
133. Checking whether the unreset signal check influencing the remote control operation of the switch fails or not by using EMS alarm information, and if not, not allowing execution; or
134. By utilizing an intelligent voice platform, the system automatically contacts the station operation and maintenance class to which the instruction belongs through a voice telephone, the voice communication confirms whether remote control operation is available or not, and if the check fails, the execution is not allowed; or
135. And authenticating the identity of the operator by using a face recognition and short message verification technology, and sending the monitoring operation ticket to a safety area isolated from the switch operation area after the authentication is passed.
Optionally, step 14 provides performing a remote operation of the completion switch in the security zone based on the operation information, including:
141. decomposing the received operation information in the switch operation area to obtain a device ID and a state code corresponding to the EMS;
142. and after decomposition, the information is automatically sent to an EMS system in the switching operation area, and the guardian completes switching operation according to the information obtained by decomposition in the interval of automatic pop-up operation of the EMS system and the monitoring interface.
In the implementation, it should be noted that the areas executed in step 13 and step 14 are a switch operation area and a security area, respectively, and here, the two operations are obviously isolated, so as to improve the security of the operation information included in the monitoring operation ticket, so as to inherit the information integrity of the monitoring operation ticket obtained after performing the ticket logic verification, and prevent the occurrence of errors caused by performing information decomposition in the switch operation area with poor security.
The operations proposed in step 141 include:
1411. if the received operation information comprises tasks aiming at a plurality of switches, sequencing according to switch numbers to generate an operation sequence;
1412. and completing the switching operation according to the generated operation sequence.
Optionally, the adjusting, according to the adjusted rotation vector, the execution sequence of the subsequent received remote operation instruction in step 15 includes:
151. after the operation ticket elements stored in each rotation storage unit are verified, modifying the rotation vectors corresponding to the rotation storage units according to the verification duration, and counting the vector change values of all the rotation vectors included in each operation ticket;
152. performing instruction accuracy evaluation on the operation ticket corresponding to the operation ticket element by combining the obtained vector change value;
153. and adjusting the instruction weight value of the user corresponding to the operation ticket according to the evaluation result.
In the implementation, the operation content of step 151 is a vector variation value of the statistical rotation vector, which is different from the values of the first adjustment value and the second adjustment value, where the rotation vector corresponding to the rotation storage unit is modified according to the verification duration, and the verification duration is used as another element independent of the first adjustment value and the second adjustment value to modify the rotation vector, for example, the rotation vector is modified by another element independent of the first adjustment value and the second adjustment value
And t is a verification time length, the operation aims to highlight the negative effects of the irregular elements in certain operation tickets in the operation tickets, and the switching adjustment operation of the users of the operation tickets is delayed, wherein the typical delay processing mode is to adjust the instruction weight of the users.
Schemes that rely on adjusting the instruction weight of such users include:
154. after the switch remote operation is finished based on the operation information in the switch operation area for the first time, acquiring instruction weight values of a plurality of users;
155. sequencing remote operation instructions sent by a user based on the instruction weight values;
156. and sequentially responding to the remote operation instruction from front to back according to the sequencing result.
In addition to the operations proposed in the foregoing, the operation method proposed in the embodiment of the present application further includes:
16. checking the switch state; the method specifically comprises the following steps:
161. judging the current equipment state by acquiring the load flow information and the equipment displacement information of the EMS equipment of the operating equipment, and checking the current equipment state with the equipment state to be completed by the operating task;
162. and an intelligent voice platform is utilized to wait for a field telephone call to inform the system of the operation condition, so that the flow closed loop is realized.
The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (10)
1. The remote switch remote control operation method based on artificial intelligence is characterized by comprising the following steps:
receiving a remote operation instruction aiming at a switch sent by a user, and analyzing the remote operation instruction to obtain an operation ticket;
extracting the face information of the operation ticket based on an artificial intelligent neural network algorithm, respectively storing the extracted operation ticket elements into different types of rotary storage units according to whether membership exists, performing face logic verification by taking the rotary storage units as units, adjusting the rotary vector of the rotary storage units for storing the same type of operation ticket elements according to the verification result, and judging the rotary vector of the adjusted rotary storage units and the operation ticket corresponding to the face information lower than a threshold value as a monitoring operation ticket passing the verification;
performing topology anti-error check on the monitoring operation ticket, and transmitting the checked monitoring operation ticket to a safety area isolated from the switch operation area;
analyzing the monitoring operation ticket in the safety area to obtain operation information including expected parameters of the switch, and transmitting the operation information to the switch operation area;
adjusting the execution sequence of the subsequent received remote operation instructions according to the adjusted rotation vector;
wherein, each rotation storage unit is preset with the same rotation vector.
2. The remote switch remote control operation method based on artificial intelligence according to claim 1, characterized in that:
the receiving user sends the remote operation instruction to the switch, and the remote operation instruction is analyzed to obtain the operation order, including:
receiving a remote operation instruction which is sent by a user on the dispatching power failure intelligent control platform and used for dispatching on-off of the switch;
and extracting operation information including operator information, to-be-processed operation switch information, an instruction port number and a random verification code from the remote operation instruction, filling the operation information into an operation ticket template, and generating an operation ticket corresponding to the remote operation instruction.
3. The remote switch remote control operation method based on artificial intelligence according to claim 1, characterized in that:
the method includes the steps of extracting face information of operation tickets based on an artificial intelligent neural network algorithm, respectively storing extracted operation ticket elements in different types of rotary storage units according to whether membership exists, performing face logic verification by taking the rotary storage units as units, adjusting rotary vectors of the rotary storage units for storing the same type of operation ticket elements according to verification results, and judging operation tickets corresponding to the rotary vectors of the rotary storage units and the face information lower than a threshold value after adjustment to be monitoring operation tickets passing the verification, and includes the following steps:
extracting operation order elements including operator information, to-be-processed operation switch information, an instruction port number and a random verification code from an operation order according to project contents contained in an operation order template and by combining an artificial intelligent neural network algorithm;
according to different categories of the obtained operation order elements, storing the operation order elements without logic dependency relationship into a first rotary storage unit as first category elements, and storing the operation order elements belonging to the first category elements into a second rotary storage unit as second category elements;
performing data format verification according to the data type corresponding to the operation order element stored in the first rotating storage unit to obtain a first verification result;
performing data format verification based on the logical relationship on the operation ticket elements stored in the second rotating storage unit according to the operation ticket elements stored in the first rotating storage unit to obtain a second verification result;
respectively adjusting the rotation vectors of the first rotation storage unit and the second rotation storage unit according to the first check result and the second check result, and solving the sum of the rotation vectors of the first rotation storage unit and the second rotation storage unit after adjustment;
and if the sum of the rotation vectors is lower than the threshold value, judging the operation ticket corresponding to the ticket surface information to which the current operation ticket element belongs as a monitoring operation ticket passing the verification, and otherwise, taking the operation ticket as an operation ticket to be refuted.
4. The method as claimed in claim 3, wherein the adjusting the rotation vectors of the first rotating storage unit and the second rotating storage unit according to the first and the second checking results to obtain the sum of the rotation vectors of the first rotating storage unit and the second rotating storage unit comprises:
acquiring the number of operation order elements which do not pass the data format verification in the first verification result as a first adjusting value, and acquiring the number of operation order elements which do not pass the data format verification in the second verification result as a second adjusting value;
respectively adjusting the rotation vectors of the first rotation storage unit and the second rotation storage unit according to the numerical values of the first adjustment value and the second adjustment value and the minimum adjustment unit to obtain the adjusted rotation vector of the first rotation storage unit and the adjusted rotation vector of the second rotation storage unit;
and calculating the sum of the modulus value of the rotation vector of the adjusted first rotation storage unit and the modulus value of the rotation vector of the second rotation storage unit according to the vector operation rule, and taking the obtained sum as the rotation vector sum of the adjusted first rotation storage unit and the second rotation storage unit.
5. The remote control operation method of claim 1, wherein the topology anti-error check of the monitoring operation ticket and the transmission of the checked monitoring operation ticket to a security area isolated from the switch operation area comprise:
the topology anti-error check rule is utilized to complete the operation topology anti-error check, and if the check is not passed, the execution is not allowed;
after the checking is passed, checking the point number according to a standard point number table provided automatically and the EMS remote control point number, and if the checking is not passed, the execution is not allowed;
or checking whether the unreset signal check influencing the remote control operation of the switch fails by using EMS alarm information, and if not, not allowing the execution;
or by using an intelligent voice platform, the system automatically contacts the station operation and maintenance class to which the instruction belongs through a voice telephone, the voice communication confirms whether remote control operation is available or not, and if the check fails, the execution is not allowed;
or the identity of the operator is authenticated by face recognition and short message verification technology, and the monitoring operation ticket is sent to a safety area isolated from the switch operation area after the authentication is passed.
6. The remote control operation method based on artificial intelligence of claim 1, wherein the analyzing the monitoring operation ticket in the security area to obtain the operation information including the expected parameters of the switch, and transmitting the operation information to the switch operation area comprises:
decomposing the received operation information in the security area to obtain a device ID and a state code corresponding to the EMS;
and after decomposition, the information is automatically sent to an EMS system in the switching operation area, and the guardian completes switching operation according to the information obtained by decomposition in the interval of automatic pop-up operation of the EMS system and the monitoring interface.
7. The method according to claim 6, wherein the parsing the received operation information in the security zone to obtain the device ID and the status code corresponding to the EMS comprises:
if the received operation information comprises tasks aiming at a plurality of switches, sequencing according to switch numbers to generate an operation sequence;
and completing the switching operation according to the generated operation sequence.
8. The remote switch remote control operation method based on artificial intelligence, according to claim 1, further comprising an operation of rechecking the switch status, wherein the rechecking the switch status comprises:
judging the current equipment state by acquiring the load flow information and the equipment displacement information of the EMS equipment of the operating equipment, and checking the current equipment state with the equipment state to be completed by the operating task;
and an intelligent voice platform is utilized to wait for a field telephone call to inform the system of the operation condition, so that the flow closed loop is realized.
9. The method according to claim 1, wherein the adjusting the execution sequence of the subsequently received remote operation instructions according to the adjusted rotation vector comprises:
after the operation ticket elements stored in each rotation storage unit are verified, modifying the rotation vectors corresponding to the rotation storage units according to the verification duration, and counting the vector change values of all the rotation vectors included in each operation ticket;
performing instruction accuracy evaluation on the operation ticket corresponding to the operation ticket element by combining the obtained vector change value;
and adjusting the instruction weight value of the user corresponding to the operation ticket according to the evaluation result.
10. The artificial intelligence based remote switch operating method of claim 9, further comprising:
after the switch remote operation is completed based on the operation information in the switch operation area for the first time, acquiring instruction weight values of a plurality of users;
sequencing remote operation instructions sent by a user based on the instruction weight values;
and sequentially responding to the remote operation instruction from front to back according to the sequencing result.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114204680A (en) * | 2021-12-13 | 2022-03-18 | 广州思泰信息技术有限公司 | Multi-type automatic detection equipment fusion remote diagnosis system and method |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106483890A (en) * | 2016-12-23 | 2017-03-08 | 国网浙江省电力公司衢州供电公司 | A kind of regulation and control intelligent anti-error operation system based on operation ticket system |
| CN107359702A (en) * | 2017-08-18 | 2017-11-17 | 国网山东省电力公司淄博供电公司 | Intelligent linkage Interlocking Methods based on IES700 systems |
-
2021
- 2021-03-17 CN CN202110286226.2A patent/CN112671110B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106483890A (en) * | 2016-12-23 | 2017-03-08 | 国网浙江省电力公司衢州供电公司 | A kind of regulation and control intelligent anti-error operation system based on operation ticket system |
| CN107359702A (en) * | 2017-08-18 | 2017-11-17 | 国网山东省电力公司淄博供电公司 | Intelligent linkage Interlocking Methods based on IES700 systems |
Non-Patent Citations (1)
| Title |
|---|
| 谈丽娜等: "配电网调度操作新模式探索", 《电气应用》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114204680A (en) * | 2021-12-13 | 2022-03-18 | 广州思泰信息技术有限公司 | Multi-type automatic detection equipment fusion remote diagnosis system and method |
| CN114204680B (en) * | 2021-12-13 | 2023-01-31 | 广州思泰信息技术有限公司 | Multi-type automatic detection equipment fusion remote diagnosis system and method |
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