CN112765208A - Scheduling method, system, equipment and storage medium for power transmission line maintenance task - Google Patents
Scheduling method, system, equipment and storage medium for power transmission line maintenance task Download PDFInfo
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Abstract
The application provides a scheduling method, a system, equipment and a storage medium for a power transmission line inspection task, which comprises the following steps: acquiring the demographic attributes, the post responsibility content and the patrol and maintenance information of patrol and maintenance tasks of the patrol and maintenance personnel; generating a static attribute vector based on the demographic attributes; generating a power domain label based on the post responsibility content; generating a similarity vector based on the power domain label; generating a user portrait capable of selecting patrol maintenance personnel based on the static attribute vector, the similarity vector and the electric power field label; and judging whether the patrol maintenance information is matched with the user portrait of the selectable patrol maintenance personnel, and if the patrol maintenance information is matched with the user portrait, using the selectable patrol maintenance personnel corresponding to the user portrait as the target patrol maintenance personnel of the patrol maintenance task. The method and the device can improve the probability of successful completion of the patrol maintenance task by the target patrol maintenance personnel.
Description
Technical Field
The application relates to the technical field of power transmission line maintenance, in particular to a scheduling method, a system, equipment and a storage medium for a power transmission line maintenance task.
Background
With the development of science and technology, the demand of people for electricity is increasing, and the scale of an electric power system is also continuously expanding. In order to ensure stable and safe power utilization, the safe operation of a power system is guaranteed. The transmission line is in a complex environment due to long channel and is greatly influenced by natural conditions, so that the line fault occupies a large proportion in the whole power system fault, and the line fault has far more influence and larger harm than the influence caused by equipment fault. Therefore, the maintenance of the power transmission line is a crucial link. But the power of the maintenance personnel and the scale of the unmanned aerial vehicle at the current cost level are difficult to meet the maintenance requirement.
The existing maintenance method generally packages the maintenance task of the power transmission line to the market maintenance staff for execution, and the market maintenance staff may not have corresponding qualification or experience due to high uncertainty, and thus cannot be competent for the maintenance task, so that the effective completion of the maintenance task cannot be ensured. Therefore, the prior art has the defect of low efficiency when the maintenance patrol task is executed.
Disclosure of Invention
The application provides a scheduling method, a scheduling system, a scheduling device and a scheduling storage medium for a power transmission line maintenance task, and aims to solve the problem that in the prior art, the efficiency is low when the maintenance task is executed.
In order to solve the technical problem, the embodiment of the application discloses the following technical scheme:
in a first aspect, the present application provides a method for scheduling a power transmission line maintenance task, where the method includes:
acquiring the demographic attributes, the post responsibility content and the patrol and maintenance information of patrol and maintenance tasks of the patrol and maintenance personnel;
generating a static attribute vector based on the demographic attributes;
generating a power domain label based on the post responsibility content, the power domain label comprising a subject vector and a label vector;
generating a similarity vector based on the power domain label;
generating a user representation of a selectable maintenance patrol person based on the static attribute vector, the similarity vector and the electric power field tag;
and judging whether the patrol maintenance information is matched with the user portrait of the selectable patrol maintenance personnel, and if the patrol maintenance information is matched with the user portrait, using the selectable patrol maintenance personnel corresponding to the user portrait as the target patrol maintenance personnel of the patrol maintenance task.
Optionally, the demographic attributes include at least one of a gender, age, name, job title, and academic calendar of the selectable maintenance tour.
Optionally, after the step of generating the power domain label based on the post responsibility content, the method further includes:
acquiring the operation behavior of a selectable maintenance patrol worker;
and updating the power domain label according to the operation behavior.
Optionally, the operation behavior includes at least one of user login time, a user operation module, user operation duration and user operation action of the selectable maintenance patrol personnel.
Optionally, the generating a power domain label based on the post responsibility content includes:
acquiring a power field corresponding to the post responsibility content; the electric power field comprises at least one of a service domain, an accounting domain, a financial domain, a marketing equipment domain, a power grid domain, a market domain, a measurement domain and a management and control domain;
generating a power domain tag from the power domain.
Optionally, the power domain includes at least one sub-domain, and each sub-domain corresponds to at least one main tag and/or at least one sub-tag.
Optionally, after the step of generating the power domain label based on the post responsibility content, the method further includes:
obtaining the dimension of the tag vector in the power field tag;
and judging whether the dimension of the label vector meets a preset condition, and if the dimension of the label vector does not meet the preset condition, modifying the dimension of the label vector so that the modified dimension of the label vector meets the preset condition.
In a second aspect, the present application provides a scheduling system for a power transmission line maintenance task, including:
the acquisition module is configured to acquire the demographic attributes, the post responsibility content and the patrol and maintenance information of patrol and maintenance tasks of the selectable patrol and maintenance personnel;
a static module configured to generate a static attribute vector based on the demographic attributes;
a domain module configured to generate a power domain tag based on the post responsibility content, the power domain tag comprising a subject vector and a tag vector;
a similarity module configured to generate a similarity vector based on the power domain label;
a representation module configured to generate a user representation of a selectable maintenance patrolman based on the static attribute vector, the similarity vector, the power domain tag;
and the matching module is configured to judge whether the patrol maintenance information is matched with the user portrait of the selectable patrol maintenance personnel, and if the patrol maintenance information is matched with the user portrait, the selectable patrol maintenance personnel corresponding to the user portrait is used as the target patrol maintenance personnel of the patrol maintenance task.
In a third aspect, the present application provides a scheduling apparatus for a power transmission line maintenance task, including a memory and a processor, where the memory stores a computer program, and the computer program, when executed by the processor, causes the processor to execute the steps of the method according to any one of claims 1 to 7.
In a fourth aspect, the present application provides a storage medium storing a computer program which, when executed by a processor, performs the steps of the method as described above.
Compared with the prior art, the beneficial effect of this application is:
the application provides a scheduling method, a system, equipment and a storage medium of a power transmission line inspection and maintenance task, a user portrait of an inspection and maintenance person can be generated according to a static attribute vector, a similarity vector, a theme vector and a label vector of the inspection and maintenance person, the user portrait can include various features of the inspection and maintenance person, the inspection and maintenance person can be comprehensively represented in multiple dimensions and different layers, the inspection and maintenance person can be selected in detail, the user portrait is clear in structure, the computer can easily understand and calculate, the matching degree of the target inspection and maintenance person and the inspection and maintenance task can be improved, and the probability that the target inspection and maintenance person successfully completes the inspection and maintenance task can be improved.
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In order to more clearly explain the technical solution of the present application, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious to those skilled in the art that other drawings can be obtained according to the drawings without any creative effort.
Fig. 1 is an overall flowchart of a scheduling method for a power transmission line maintenance task according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a scheduling system of a power transmission line maintenance task according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a scheduling device for a power transmission line maintenance task according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a storage medium according to an embodiment of the present application.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, an overall flowchart of a scheduling method for a power transmission line maintenance task provided in the embodiment of the present application is shown. As shown in fig. 1, the method comprises the steps of:
s1, acquiring the demographic attributes of the inspection personnel, the post responsibility content and the inspection information of the inspection task;
s2, generating a static attribute vector based on the demographic attributes;
s3, generating a power domain label based on the post duty content, wherein the power domain label comprises a theme vector and a label vector;
s4, generating a similarity vector based on the power domain label;
s5, generating a user portrait of a selectable maintenance patrol person based on the static attribute vector, the similarity vector and the power domain label;
and S6, judging whether the patrol maintenance information is matched with the user portrait of the selectable patrol maintenance personnel, and if the patrol maintenance information is matched with the user portrait, taking the selectable patrol maintenance personnel corresponding to the user portrait as the target patrol maintenance personnel of the patrol maintenance task.
The individual steps are described in detail below:
in step S1, patrol task related data is acquired, including: demographic attributes of the maintenance patrol personnel, the duty content of the post, and maintenance patrol information of the maintenance patrol task can be selected.
In some embodiments, the demographic attributes may include user basic information, such as at least one of a gender, an age, a name, a job title, a scholarship, of the selectable patrol person. The demographic attributes are static attribute vectors, can be directly extracted, and can be obtained without targeted training.
It should be noted that the post responsibility content and the patrol maintenance information of the patrol maintenance task can be provided by the patrol maintenance department in each implementation scenario, which is not described herein again.
At step S2, a static attribute vector is generated based on the demographic attributes.
In some embodiments, the demographic attributes may be a division of a certain characteristic of the selectable roving personnel by section, such as after 70, after 80, after 90, after 00, etc., by segmentation, for example, by age. For example, the static attribute vector of an optional patrol person is < ID, name, gender, job, age, academic calendar >, the ID is an ID of a unique identifier of the optional patrol person, such as job number, registration number, etc., the name is an optional patrol person name, the gender is < male, female >, the academic calendar is < senior high school, university, master, doctor, other >, the age is <60, 70, 80, 90, 00, 10> and the job is established according to the role of the marketing management system, for example: the service inspection is dedicated.
In step S3, a power domain label is generated based on the post duty content, the power domain label including a theme vector and a label vector.
In some embodiments, the power domain tags are generated based on the job responsibilities of the selectable maintenance personnel. The power domain label is < Topic vector Topic, label vector Tag >. In the binary group, a theme vector is used to represent a Tag keyword, the theme vector is a < service domain, accounting domain, financial domain, marketing equipment domain, power grid domain, market domain, measurement domain, and management and control domain >, the Tag vector Tag is a binary array formed by < Tag, weight >, and the vector with the largest weight is used as the portrait Tag vector.
The above 8 subject domains are performed according to the relevant knowledge and marketing system data according to the electric power field. The theme vector is mainly used for carrying out data processing by integrating basic information and power grid information of the selectable maintenance patrol personnel, and expressing the selectable maintenance patrol personnel in a keyword form. Most of the traditional methods are expressed by keywords and values thereof when processing a space vector model, the keywords represent characteristics and represent weights, but too many keywords in the power field cause problems in data processing, time is consumed in image updating and maintenance, and many keywords below each large category bring inconvenience to user image rendering. The traditional sketch described by key words can cause overlong vectors and data sparseness, and is not beneficial to similarity calculation, so that 8 large categories are adopted to describe the power grid field labels and weights of user sketch. Meanwhile, the method is more convenient for the expansion of the subject model, and the dimension on each topic vector accurately describes the degree of the tendency of the user on the classification.
In some embodiments, each subject domain is divided into multiple subdomains, see table 1 for details.
TABLE 1
In some embodiments, each sub-domain corresponds to at least one main tag and/or at least one sub-tag.
Specifically, the label situation of the service domain is shown in table 2.
TABLE 2
The label cases of the accounting domains are shown in table 3.
TABLE 3
The tag case of the accounting domain is shown in table 4.
TABLE 4
The tag case of the marketing device domain is shown in table 5.
TABLE 5
The label situation of the grid domain is shown in table 6.
TABLE 6
The label situation of the market domain is shown in table 7.
TABLE 7
The label of the measurement fields is shown in table 8.
TABLE 8
The label conditions of the regulatory domains are shown in table 9.
TABLE 9
Classifying the subdomain data according to statistics, interaction behaviors and basic classes according to understanding of the subdomains and function application in a marketing management system, and explaining by taking a line loss subdomain as an example, 1) processing and separating a main label-line loss abnormity according to line loss service; 2) according to the statistical index report in the line loss, a main label-line loss index is separated; 3) and (4) according to related basic information in the line loss, dividing out a main label-line loss management. And after the main label is obtained, classifying the main label according to the service class. The sub-labels corresponding to the line loss abnormity comprise clue abnormity analysis, line loss abnormity and line loss abnormity monitoring; the sub-labels corresponding to the line loss indexes comprise unit line loss assessment results, line and station area indexes, line loss statistics of the lines and line loss subarea statistics; the sub-label corresponding to the line loss management comprises the following components: line loss metering points, line loss branches, users, line loss distribution areas and assessment users.
In the Tag vector Tag ═ Tag, weight > binary group, Tag is used for representing a Tag keyword, weight is also used for representing the weight of the keyword in the Tag vector, namely the weight of a user on the portrait Tag is large, the larger the weight is, the higher the coincidence success rate is, the vector Tag is taken as the portrait Tag vector, and the keyword in Tag is obtained through the data of each system of the power grid and the using behavior of the power grid system. The Tag vector Tag provides a data basis for accurately calculating the Tag similarity between the images.
When the user label vector is established, the problem of label vector dimension is also considered. The dimensionality of the label vector of some users is more. The length of the label should be truncated for updating, administration and maintenance. Some users have a single responsibility range, so that the tag characteristics marked by the users can be fewer, and the vectors also need to be expanded appropriately. In this embodiment, the length of the tag vector is defined to be 10. When the number of the label vector dimensions of the user is more than 10, sorting each Tag in the label vector according to the weight of the Tag, and only selecting the Tag with the larger weight of the top 10 tags as the label vector of the user; on the contrary, when the number of the tags is less than 10, the Tag vector is considered to be expanded, the Tag feature vector is obtained through an API (application programming interface) provided by the system (N <10, N represents the dimension), and then the recommended tags provided by the system are obtained. And finally, sorting according to the original Tag and the recommended Tag of the user, and selecting the top 10 tags.
In step S4, a similarity vector is generated based on the power domain label.
In some embodiments, the user social relationship model actionrelationship, which is mainly used to represent the Similarity and degree of affinity of the selectable tour person with other users in the power domain, may also be understood as the Similarity of the selectable tour person with other users, that is, actionrelationship ═ Similarity >. Because two selectable maintenance patrolmen with similar domain label vectors have similar opinions and emotional cognition on certain things in the power domain. In real life, two users are similar, so that the opinion and evaluation of one user can have a certain reference effect on the behavior and preference of the other user.
In the above-mentioned user social relationship model, actionrelationship is set to "Similarity > < Similarity-u1, Similarity-u2, … …, Similarity-un >, and Similarity-ui are obtained by a topic vector and a tag vector, wherein the topic vector and the tag vector are both from two vector components in the power domain tag. Each selectable patrol person can represent the user by a Users vector, and the similarity of the label vectors among the selectable patrol persons can reflect that the selectable patrol persons have certain similarity to a certain extent.
The Similarity-ui represents the Similarity between the selectable patrol person u and other users i, that is, the Similarity between the Topic vector Topic-u of the power domain label of the selectable patrol person u and the Topic vector Topic-i of the power domain label of other users i. The Topic-u is directly obtained from the Powerfield of the selectable maintenance patrol personnel, and Similarity (Topic-u, Topic-i) represents the Similarity degree of the electric power field label theme vectors of u and i; similarity (Tag-u, Tag-i) represents the Similarity degree of the Tag vectors of u and i, and is calculated through cosine Similarity. The concept of ambiguous Similarity caused by synonyms can occur when the Similarity (Tag-u, Tag-i) is calculated, for example, the label vector of the patrol maintenance personnel u1 can be selected to have < accident damage, transmission operation and maintenance team >, the patrol maintenance personnel u2 can be selected to include < accident analysis, transmission equipment manager >, and the Similarity calculated aiming at the problem is 0, so that a synonym thesaurus is established, and the constraint is performed through the uniform label keywords in the synonym thesaurus. The Similarity (u, i) is calculated by performing superposition processing on the Similarity (Topic-u, Topic-i) and the Similarity (Tag-u, Tag-i).
In the embodiment of the present application, the other users may be other selectable maintenance patrollers besides the selectable maintenance patroller u.
In some embodiments, behavior dimensions of the selectable maintenance patroller are represented, and the behavior dimensions are mainly the selectable maintenance patroller operation dimension and the selectable maintenance patroller social dimension. The operation dimensionality mainly comes from the operation behaviors of the selective maintenance patrol personnel in the target power grid system, and comprises user login time, a user operation module, user operation duration and user operation actions. The social dimension mainly includes common attention and social relations, and the social relations mainly consider the working relations of the selectable patrol maintenance personnel, including the affiliated mechanisms, the superior-inferior relations and the user similarity with other selectable patrol maintenance personnel. The label initialization in the power field can be carried out according to the post responsibility content of the selectable maintenance patrol personnel, and the label in the power field is updated according to the operation behavior of the selectable maintenance patrol personnel in the target power grid system.
In step S5, a user representation of a selectable maintenance tour representative is generated based on the static attribute vector, the similarity vector, and the power domain label.
Specifically, the generation of the user portrait is actually to generate a Users model: demographic characteristics (Demographics), generation of user behavior relationship characteristics (actionrelationship), and generation of user power domain tag characteristics (Powerfield). User portrait User ═ Demographics, Powerfield, action relationship >.
In some embodiments, the post of the selectable maintenance person may be mobilized, or the maintenance person may be selected to have an up-shift, a leave, etc., and therefore the user representation of the selectable maintenance person may need to be updated. For example, the theme vectors in the power domain tags of the posts of the selectable maintenance crews are updated, the theme vector of each selectable maintenance crews can be updated in a periodic checking mode, and in addition, the theme vector can be updated by combining the short-term power domain vector and the feedback vector. The same method can be adopted to update the label vectors in the electric power field labels of the posts of the selectable maintenance personnel, and in addition, regular maintenance on the synonym library is required. And after the theme vector and the label vector are updated, updating the similarity vector according to the updated theme vector and the updated label vector.
In step S6, it is determined whether the patrol information matches a user profile of a selectable patrol person, and if the patrol information matches the user profile, the selectable patrol person corresponding to the user profile is used as a target patrol person for a patrol task.
Specifically, the patrol maintenance information of the patrol maintenance task is acquired, whether the patrol maintenance information is matched with the user image of the selectable patrol maintenance personnel is judged, for example, the matching degree of the patrol maintenance information and the user image can be acquired through a trained judgment model, and if the patrol maintenance information is matched with the user image, the selectable patrol maintenance personnel is used as the target patrol maintenance personnel of the patrol maintenance task.
According to the description, the user portrait of the selectable patrol maintenance personnel is generated according to the static attribute vector, the similarity vector, the theme vector and the label vector of the selectable patrol maintenance personnel, the user portrait can comprise various features of the selectable patrol maintenance personnel, each selectable patrol maintenance personnel is comprehensively and specifically represented in different levels of multiple dimensions, the clear structure of the user portrait is easy to understand and calculate by a computer, the matching degree of the target patrol maintenance personnel and the patrol maintenance task can be improved, and the probability that the target patrol maintenance personnel successfully complete the patrol maintenance task can be improved.
The embodiment of the invention also provides a scheduling system of the power transmission line maintenance task, which is shown in fig. 2 and comprises an acquisition module 11, a static module 12, a field module 13, a similar module 14, a portrait module 15 and a matching module 16.
The acquisition module 11 is configured to acquire the demographic attributes, the post responsibility content and the maintenance information of the maintenance task of the selectable maintenance personnel; the static module 12 is configured to generate a static attribute vector based on the demographic attributes; the domain module 13 is configured to generate a power domain tag based on the post responsibility content, the power domain tag comprising a theme vector and a tag vector; the similarity module 14 is configured to generate a similarity vector based on the power domain label; the representation module 15 is configured to generate a user representation of a selectable maintenance patroller based on the static attribute vector, the similarity vector, the power domain tag; the matching module 16 is configured to determine whether the patrol information matches with the user portrait of the selectable patrol person, and if the patrol information matches with the user portrait, the selectable patrol person corresponding to the user portrait is used as the target patrol person of the patrol task.
Wherein the demographic attributes comprise at least one of sex, age, name, job title and academic calendar of the selectable patrol personnel.
The field module 13 is further configured to obtain an operation behavior of the selectable maintenance patrol staff, and update the power field tag according to the operation behavior.
The operation behavior comprises at least one of user login time, a user operation module, user operation duration and user operation actions of the selectable maintenance patrol personnel.
The field module 13 is further configured to acquire a power field corresponding to the post responsibility content, and generate a power field tag according to the power field; the electric power field comprises at least one of a service domain, an accounting domain, a financial domain, a marketing equipment domain, a power grid domain, a market domain, a measurement domain and a management and control domain.
The power domain comprises at least one sub-domain, and each sub-domain corresponds to at least one main tag and/or at least one sub-tag.
The field module 13 is further configured to obtain a dimension of a tag vector in the power field tag, determine whether the dimension of the tag vector satisfies a preset condition, and modify the dimension of the tag vector if the dimension of the tag vector does not satisfy the preset condition, so that the modified dimension of the tag vector satisfies the preset condition.
According to the description, the power transmission line patrol maintenance task management system generates the user portrait of the selectable patrol maintenance personnel according to the static attribute vector, the similarity vector, the theme vector and the label vector of the selectable patrol maintenance personnel in the embodiment, so that the user portrait comprises various features of the selectable patrol maintenance personnel, multiple dimensions and different levels are comprehensive and represent each selectable patrol maintenance personnel in detail, the clear structure of the user portrait is easy to understand and calculate by a computer, the matching degree of the target patrol maintenance personnel and the patrol maintenance task can be improved, and the probability of the target patrol maintenance personnel successfully completing the patrol maintenance task can be improved.
Fig. 3 is a schematic structural diagram of a scheduling device for a power transmission line maintenance task according to an embodiment of the present invention. The computer device 20 comprises a processor 21, a memory 22. The processor 21 is coupled to a memory 22. The memory 22 has stored therein a computer program which is executed by the processor 21 in operation to implement the method as shown in fig. 1. The detailed methods can be referred to above and are not described herein.
It can be known from the above description that, in this embodiment, the computer device generates the user portrait of the selectable patrol maintenance personnel according to the static attribute vector, the similarity vector, the theme vector and the tag vector of the selectable patrol maintenance personnel, so that the user portrait includes various features of the selectable patrol maintenance personnel, and multiple dimensions and different levels are used for comprehensively and specifically representing each selectable patrol maintenance personnel.
Fig. 4 is a schematic structural diagram of a storage medium according to an embodiment of the present invention. The computer-readable storage medium 30 stores at least one computer program 31, and the computer program 31 is used for being executed by a processor to implement the method shown in fig. 1, and the detailed method can be referred to above and is not described herein again. In one embodiment, the computer readable storage medium 30 may be a memory chip in a terminal, a hard disk, or other readable and writable storage tool such as a removable hard disk, a flash disk, an optical disk, or the like, and may also be a server or the like.
It can be known from the above description that, the user portrait of the selectable patrol maintenance personnel is generated by the computer program in the storage medium according to the static attribute vector, the similarity vector, the theme vector and the tag vector of the selectable patrol maintenance personnel in this embodiment, so that the user portrait includes various features of the selectable patrol maintenance personnel, and multiple dimensions and different levels comprehensively and specifically represent each selectable patrol maintenance personnel.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile 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), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Since the above embodiments are all described by referring to and combining with other embodiments, the same portions are provided between different embodiments, and the same and similar portions between the various embodiments in this specification may be referred to each other. And will not be described in detail herein.
It is noted that, in this specification, relational terms such as "first" and "second," and the like, are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a circuit structure, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such circuit structure, article, or apparatus. The term "comprising" a defined element does not, without further limitation, exclude the presence of other like elements in a circuit structure, article, or device that comprises the element.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims. The above-described embodiments of the present application do not limit the scope of the present application.
Claims (10)
1. A scheduling method for a power transmission line maintenance task is characterized by comprising the following steps:
acquiring the demographic attributes, the post responsibility content and the patrol and maintenance information of patrol and maintenance tasks of the patrol and maintenance personnel;
generating a static attribute vector based on the demographic attributes;
generating a power domain label based on the post responsibility content, the power domain label comprising a subject vector and a label vector;
generating a similarity vector based on the power domain label;
generating a user representation of a selectable maintenance patrol person based on the static attribute vector, the similarity vector and the electric power field tag;
and judging whether the patrol maintenance information is matched with the user portrait of the selectable patrol maintenance personnel, and if the patrol maintenance information is matched with the user portrait, using the selectable patrol maintenance personnel corresponding to the user portrait as the target patrol maintenance personnel of the patrol maintenance task.
2. The method of claim 1, wherein the demographic attributes comprise at least one of a gender, an age, a name, a job title, and a scholarship of a selectable patrolman.
3. The method of claim 1, wherein the step of generating a power domain label based on the post responsibility content is followed by:
acquiring the operation behavior of a selectable maintenance patrol worker;
and updating the power domain label according to the operation behavior.
4. The method of claim 3,
the operation behavior comprises at least one of user login time, a user operation module, user operation duration and user operation actions of the selectable maintenance patrol personnel.
5. The method of claim 1, wherein generating a power domain label based on the post responsibility content comprises:
acquiring a power field corresponding to the post responsibility content; the electric power field comprises at least one of a service domain, an accounting domain, a financial domain, a marketing equipment domain, a power grid domain, a market domain, a measurement domain and a management and control domain;
generating a power domain tag from the power domain.
6. The method of claim 5,
the power domain includes at least one sub-domain, each sub-domain corresponding to at least one main tag and/or at least one sub-tag.
7. The method of claim 1, wherein the step of generating a power domain label based on the post responsibility content is followed by:
obtaining the dimension of the tag vector in the power field tag;
and judging whether the dimension of the label vector meets a preset condition, and if the dimension of the label vector does not meet the preset condition, modifying the dimension of the label vector so that the modified dimension of the label vector meets the preset condition.
8. The utility model provides a transmission line patrols dispatch system of dimension task which characterized in that, the system includes:
the acquisition module is configured to acquire the demographic attributes, the post responsibility content and the patrol and maintenance information of patrol and maintenance tasks of the selectable patrol and maintenance personnel;
a static module configured to generate a static attribute vector based on the demographic attributes;
a domain module configured to generate a power domain tag based on the post responsibility content, the power domain tag comprising a subject vector and a tag vector;
a similarity module configured to generate a similarity vector based on the power domain label;
a representation module configured to generate a user representation of a selectable maintenance patrolman based on the static attribute vector, the similarity vector, the power domain tag;
and the matching module is configured to judge whether the patrol maintenance information is matched with the user portrait of the selectable patrol maintenance personnel, and if the patrol maintenance information is matched with the user portrait, the selectable patrol maintenance personnel corresponding to the user portrait is used as the target patrol maintenance personnel of the patrol maintenance task.
9. Scheduling device of a power transmission line maintenance task, characterized by comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to carry out the steps of the method according to any one of claims 1 to 7.
10. A storage medium, characterized in that a computer program is stored which, when being executed by a processor, carries out the steps of a method according to any one of claims 1 to 7.
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Application publication date: 20210507 |