1. An operation ticket matching method based on a similarity algorithm is characterized in that: comprises the steps of (a) preparing a mixture of a plurality of raw materials,

monitoring the call recording of the power dispatching;

converting the recording into a scheduling text by utilizing a voice recognition technology;

finding out possible operation tickets according to the telephone numbers of both parties of the call;

and finding the instruction with the highest matching degree based on an edit distance algorithm to complete automatic matching of the operation ticket.

2. The operation ticket matching method based on the similarity algorithm according to claim 1, characterized in that: the method comprises the steps of finishing scheduling and recording real-time monitoring through IP-PBX networking and a noninvasive bypass telephone voice stream acquisition technology of an SIP protocol switch port mirror image, and acquiring telephone numbers of both parties of communication.

3. The operation ticket matching method based on the similarity algorithm according to claim 1 or 2, characterized in that: the speech recognition techniques include the steps of,

converting the recording into a scheduling text through a voice recognition technology;

the scheduling text may contain a lot of chatting data, and the instructions need to be extracted, and the instructions contained in the scheduling text are extracted by using a regular rule matching mode.

4. The operation ticket matching method based on the similarity algorithm according to claim 3, characterized in that: comprises the steps of (a) preparing a mixture of a plurality of raw materials,

inquiring an operation ticket in operation through the telephone numbers of the two parties of the call, and extracting and configuring telephone numbers of each organization, department and station by the system;

and finding out the corresponding station and department by using the telephone number, and finding out unfinished operation tickets of the two parties as alternatives.

5. The operation ticket matching method based on the similarity algorithm according to claim 4, characterized in that: the edit distance algorithm includes the steps of,

the edit distance calculates the minimum number of insertions, deletions, substitutions required to convert the original string s to the target string t.

6. The operation ticket matching method based on the similarity algorithm according to claim 5, characterized in that: and I represents insertion, s represents replacement, d represents deletion, cost obtained by each operation is 1, the distance between two character strings is 3, and the matching degree of the instruction spoken by the two parties in the call and the instruction in the operation ticket system is calculated.

7. The operation ticket matching method based on the similarity algorithm according to claim 6, characterized in that: comprises the steps of (a) preparing a mixture of a plurality of raw materials,

and carrying out edit distance matching on the instructions extracted from the scheduling call text and the operation instructions, calculating and sequencing similarity, finding out the instruction with the highest similarity, and judging whether the instruction with the highest similarity reaches a preset threshold value.

8. The operation ticket matching method based on the similarity algorithm according to claim 7, characterized in that: and if the matching is successful, indicating that the operation ticket is successfully matched, otherwise, failing to match, and continuing to monitor the call record for matching.

Background

In the prior telephone scheduling process of a power supply office, scheduling operators on duty need to manually screen according to contents fed back by a telephone of a station operator, firstly find operation tickets and then check the operation tickets one by one according to specific instructions, but the speech speed is too fast, the operation tickets and the operation instructions are more, visual fatigue is easily caused, and thus the hidden danger of safety instruction errors is generated.

At present, the dispatching operation of a power supply office is mainly carried out through artificial experience processing, after a dispatching telephone is connected, a dispatching attendant finds an operation order, then finds an instruction required to be issued, and then informs plant station personnel of the operation instruction through the telephone; when the plant station operator replies the order, the instruction content is repeated through the telephone, and the scheduling operator finds the corresponding operation ticket and the operation ticket instruction in the scheduling operation system DCCS through the instruction content, so that the scheduling operator is required to be familiar with the scheduling operation system and the operation instruction, and mistakes are easily made.

Disclosure of Invention

This section is for the purpose of summarizing some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. In this section, as well as in the abstract and the title of the invention of this application, simplifications or omissions may be made to avoid obscuring the purpose of the section, the abstract and the title, and such simplifications or omissions are not intended to limit the scope of the invention.

The present invention has been made in view of the above-mentioned conventional problems.

Therefore, the invention provides an operation ticket matching method based on the similarity algorithm, which can solve the problem that the operation ticket cannot be automatically matched.

In order to solve the technical problems, the invention provides the following technical scheme: monitoring power dispatching conversation recording; converting the recording into a scheduling text by utilizing a voice recognition technology; finding out possible operation tickets according to the telephone numbers of both parties of the call; and finding the instruction with the highest matching degree based on an edit distance algorithm to complete automatic matching of the operation ticket.

As a preferable aspect of the operation ticket matching method based on the similarity algorithm according to the present invention, wherein: the method comprises the steps of finishing scheduling and recording real-time monitoring through IP-PBX networking and a noninvasive bypass telephone voice stream acquisition technology of an SIP protocol switch port mirror image, and acquiring telephone numbers of both parties of communication.

As a preferable aspect of the operation ticket matching method based on the similarity algorithm according to the present invention, wherein: the voice recognition technology comprises the steps of converting the recording into a scheduling text through the voice recognition technology; the scheduling text may contain a lot of chatting data, and the instructions need to be extracted, and the instructions contained in the scheduling text are extracted by using a regular rule matching mode.

As a preferable aspect of the operation ticket matching method based on the similarity algorithm according to the present invention, wherein: the method comprises the steps that through an operation ticket in the operation of telephone number inquiry of both parties of the call, the system extracts and configures telephone numbers of each organization, department and station; and finding out the corresponding station and department by using the telephone number, and finding out unfinished operation tickets of the two parties as alternatives.

As a preferable aspect of the operation ticket matching method based on the similarity algorithm according to the present invention, wherein: the edit distance algorithm includes the edit distance calculation of the minimum number of insertions, deletions, and substitutions required to convert the original string s to the target string t.

As a preferable aspect of the operation ticket matching method based on the similarity algorithm according to the present invention, wherein: and I represents insertion, s represents replacement, d represents deletion, cost obtained by each operation is 1, the distance between two character strings is 3, and the matching degree of the instruction spoken by the two parties in the call and the instruction in the operation ticket system is calculated.

As a preferable aspect of the operation ticket matching method based on the similarity algorithm according to the present invention, wherein: the method comprises the steps of matching editing distance between an instruction extracted from a scheduling call text and an operation instruction, calculating similarity, sequencing, finding out an instruction with the highest similarity, and judging whether the instruction with the highest similarity reaches a preset threshold value.

As a preferable aspect of the operation ticket matching method based on the similarity algorithm according to the present invention, wherein: and if the matching is successful, indicating that the operation ticket is successfully matched, otherwise, failing to match, and continuing to monitor the call record for matching.

The invention has the beneficial effects that: the method and the device firstly monitor the dispatching conversation, transcribe in real time through a voice recognition technology, extract the regular instruction and edit the distance matching algorithm to find the operation ticket with the highest similarity, thereby automatically, quickly and accurately finding the operation ticket for operation, avoiding errors possibly caused by manual operation and simultaneously reducing the workload of dispatching on-duty personnel.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise. Wherein:

fig. 1 is a schematic flowchart of an operation ticket matching method based on a similarity algorithm according to an embodiment of the present invention;

fig. 2 is a schematic diagram illustrating an edit distance matching calculation of the operation order matching method based on the similarity calculation method according to an embodiment of the present invention;

fig. 3 is a schematic diagram of instruction matching degree of the operation order matching method based on the similarity algorithm according to an embodiment of the present invention.

Detailed Description

In order to make the aforementioned objects, features and advantages of the present invention comprehensible, specific embodiments accompanied with figures are described in detail below, and it is apparent that the described embodiments are a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making creative efforts based on the embodiments of the present invention, shall fall within the protection scope of the present invention.

In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described and will be readily apparent to those of ordinary skill in the art without departing from the spirit of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.

Furthermore, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.

The present invention will be described in detail with reference to the drawings, wherein the cross-sectional views illustrating the structure of the device are not enlarged partially in general scale for convenience of illustration, and the drawings are only exemplary and should not be construed as limiting the scope of the present invention. In addition, the three-dimensional dimensions of length, width and depth should be included in the actual fabrication.

Meanwhile, in the description of the present invention, it should be noted that the terms "upper, lower, inner and outer" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of describing the present invention and simplifying the description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation and operate, and thus, cannot be construed as limiting the present invention. Furthermore, the terms first, second, or third are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.

The terms "mounted, connected and connected" in the present invention are to be understood broadly, unless otherwise explicitly specified or limited, for example: can be fixedly connected, detachably connected or integrally connected; they may be mechanically, electrically, or directly connected, or indirectly connected through intervening media, or may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.

Example 1

Referring to fig. 1, 2 and 3, for a first embodiment of the present invention, there is provided an operation ticket matching method based on a similarity algorithm, including:

s1 monitors the power dispatching conversation recording. Wherein, it is required to be noted that:

the real-time monitoring of the scheduling record is completed through IP-PBX networking and a noninvasive bypass telephone voice stream acquisition technology of the port mirror image of the SIP protocol, and the telephone numbers of both parties of the call are acquired at the same time.

S2 converts the audio recording into scheduled text using speech recognition techniques. It should be noted that the speech recognition technique includes:

converting the recording into a scheduling text through a voice recognition technology;

the scheduling text may contain a lot of chatting data, the instruction needs to be extracted, and the instruction contained in the scheduling text is extracted by using a regular rule matching mode.

S3 finds out possible operation ticket according to telephone numbers of both parties. Among them, it is also to be noted that:

the system extracts and configures the telephone numbers of each organization, department and station through the operation tickets in the telephone number query operation of the two parties of communication;

and finding out the corresponding station and department by using the telephone number, and finding out unfinished operation tickets of the two parties as alternatives.

S4 finding the instruction with the highest matching degree based on the edit distance algorithm, and completing the automatic matching of the operation ticket. It should be further noted that, the edit distance algorithm includes:

the minimum number of insertion, deletion and replacement required for converting the original string s to the target string t is calculated by the editing distance;

i represents insertion, s represents replacement, d represents deletion, cost obtained by each operation is 1, the distance between two character strings is 3, and the matching degree of the instructions spoken by the two parties in the call and the instructions in the operation ticket system is calculated.

Specifically, it is again specified that:

performing edit distance matching on the instructions extracted from the scheduling call text and the operation instructions, calculating and sequencing similarity, finding out the instruction with the highest similarity, and judging whether the instruction with the highest similarity reaches a preset threshold value or not;

if the matching is successful, the operation order is successfully matched, otherwise, the matching is failed, and the call recording is continuously monitored for matching.

It is understood that, in the current environment, after the call is connected, the scheduling attendant needs to query the operation ticket list, search the operation tickets needing to be operated in the list, and match the operation tickets according to the scheduling instruction information contained in the call content, which has a high requirement on the attendant, and a large number of operation tickets and instructions often exist in the scheduling system, so that a great deal of effort is required for manual searching, and mistakes are easily made.

Preferably, the method monitors the dispatching conversation, transcribes in real time through a voice recognition technology, extracts the regular instruction, and finds the operation ticket with the highest similarity through an editing distance matching algorithm, so that the operation ticket with the highest similarity can be found automatically, quickly and accurately, errors possibly caused by manual operation are avoided, and meanwhile, the workload of dispatching on-duty personnel is reduced.

Example 2

In order to better verify and explain the technical effects adopted in the method of the present invention, the present embodiment selects to compare the traditional manual matching method with the method of the present invention for testing, and compares the test results by means of scientific demonstration to verify the actual effects of the method of the present invention.

In order to verify that the method of the present invention has higher accuracy and efficiency compared with the conventional method, the present embodiment respectively performs real-time measurement and comparison on the operation ticket of the simulation platform by using the conventional method and the method of the present invention.

And (3) testing environment: the method comprises the steps of leading in an operation ticket matching system to run in a simulation platform simulation operation scene, respectively carrying out matching test by manual operation of a traditional method and obtaining test result data, starting automatic test equipment and using MATLB to realize simulation test of the method, obtaining simulation data according to experimental results, testing 100 groups of data in each method, calculating time for obtaining each group of data, and carrying out error comparison calculation with a predicted value input by simulation, wherein the results are shown in a table below.

Table 1: matching the performance comparison table.

	First group	Tenth group	Fiftieth group	First hundred groups
					Conventional methods	2min	5min	6min	9min
The method of the invention	0.5min	0.5min	0.5min	0.5min

With the increase of data, the manual energy and the driving power are excessively consumed, the statistical capability is reduced, the matching efficiency of the operation tickets is reduced, the method tends to be in a stable state, and the beneficial effect of the method is verified.

It should be noted that the above-mentioned embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, which should be covered by the claims of the present invention.