CN112990791B

CN112990791B - Scheduling work order flow monitoring method and system based on intelligent voice

Info

Publication number: CN112990791B
Application number: CN202110508248.9A
Authority: CN
Inventors: 李伟; 吴海江; 唐鹤; 周俊宇; 花洁; 亓玉国; 区允杰; 梁锦来; 胡福金; 陈凯阳; 骆国铭; 陈晓彤
Original assignee: Foshan Power Supply Bureau of Guangdong Power Grid Corp
Current assignee: Foshan Power Supply Bureau of Guangdong Power Grid Corp
Priority date: 2021-05-11
Filing date: 2021-05-11
Publication date: 2021-07-30
Anticipated expiration: 2041-05-11
Also published as: CN112990791A

Abstract

The application discloses a dispatching work order flow monitoring method and system based on intelligent voice, current operation links and operation orders are identified through maintenance operation tickets generated by maintenance orders, whether the time difference of the operation orders is overtime is judged, when overtime occurs, early warning messages are transmitted to a browser through the voice function to be broadcasted and content displayed, flow monitoring is conducted on each operation link, voice reminding and supervision are conducted on service flow timeliness, early warning can be achieved, monitoring timeliness and interactivity are improved, the technical problems that monitoring is not timely and the dispatching work order flow is prone to making mistakes are solved, and power dispatching work efficiency in dealing with daily work, especially in an emergency fault state is effectively improved.

Description

Scheduling work order flow monitoring method and system based on intelligent voice

Technical Field

The application relates to the technical field of task scheduling management, in particular to a scheduling work order flow monitoring method and system based on intelligent voice.

Background

With the deep promotion of the regulation and control integration and the rapid expansion of the scale of the power grid, the safety pressure of the regulation and control operation of the power grid is increasingly highlighted.

In the aspect of system operation, a regulator needs to comprehensively master the power grid condition in real time, pay attention to the conditions of risk change, load situation, fault detection and the like at any time, report and release relevant information in time, and respond to field inquiry.

In the aspect of maintenance operation, the construction requirements of spot markets are met, the requirement on timeliness of equipment maintenance execution is continuously improved, a controller needs to follow up the field operation dynamic state at any time, the maintenance single-flow rotation condition is mastered, and the phenomenon that overtime seedling appears in any link is prevented.

Under the traditional mode, all kinds of dispatch work orders (maintenance orders, operation tickets) carry out the flow and rely on the manual work to follow up completely, remind, supervise, and the timeliness of all operation flows relies on manual supervision and phone reminding, and under the condition that the traffic volume continues to increase, personnel intensity of labour is big, and is very big to the control pressure of dispatch work order flow to cause the problem that control is untimely, dispatch work order flow easily makes mistakes easily.

Disclosure of Invention

The application provides a scheduling work order flow monitoring method and system based on intelligent voice, which are used for solving the technical problems that monitoring is not timely and errors easily occur in the scheduling work order flow.

In view of this, the first aspect of the present application provides a scheduling work order flow monitoring method based on intelligent voice, including the following steps:

s1, in the DICP system, generating a maintenance operation ticket for scheduling the work task from the maintenance list;

s2, reading a corresponding current operation link of the overhaul operation ticket in the DICP system, wherein the current operation link comprises a link to be audited, an audit link, a link to be executed and a link in execution;

s3, judging whether the command of the overhaul operation ticket in the current operation link is a power-off command or a power-on command, executing a step S4 when the command of the overhaul operation ticket is the power-off command, and executing a step S5 when the command of the overhaul operation ticket is the power-on command;

s4, obtaining the approved blackout operation starting time in the overhaul bill associated with the overhaul operation ticket, calculating a blackout time difference based on the current time in the DICP system and the approved blackout operation starting time, and executing the step S6;

s5, obtaining approved power restoration operation starting time in the maintenance list associated with the maintenance operation ticket, calculating a power restoration time difference based on the current time in the DICP system and the approved power restoration operation starting time, and executing the step S6;

s6, judging whether the power failure time difference or the power restoration time difference is smaller than a preset first time difference, if so, executing a step S7, and if not, executing a step S9;

s7, acquiring a first early warning parameter based on the DICP system, generating text data for voice broadcast by using the first early warning parameter, wherein the first early warning parameter comprises an early warning type, a ticket number, a current operation link, a batch time and an operator, and executing the step S8;

s8, calling a voice synthesis engine to convert the text data into voice data, transcribing the voice data into voice segments, transmitting the voice segments to a browser, and performing voice broadcasting and broadcasting content display through the browser;

s9, jumping to the next operation link from the current operation link based on the DICP system, and repeating the steps S2-S6 until the last operation link is finished.

Preferably, the overhaul operation ticket includes an item-by-item order operation ticket and a permission order operation ticket.

Preferably, the step S7 is followed by:

s71, calling a short message sending engine to send the text data to the mobile terminal in a short message form;

s72, monitoring the short message sending state of the text data, when the short message of the text data is sent successfully, generating a sending success identification, and writing the sending success identification into a preset short message sending data table.

Preferably, the step S8 is followed by:

s81, storing the voice data to a specified directory path on a server, and transmitting the specified directory path and the ending statement of the voice data to the browser;

and S82, after receiving the specified directory path and the ending statement of the voice data through the browser, judging whether the specified directory path exists, and when the specified directory path exists, calling the voice playing space of the browser to output to an external device to play the voice of the voice data.

Preferably, after the step S9, the method further includes a step of performing process monitoring on the service list, which specifically includes the following steps:

s10, reading a corresponding current overhaul link of the overhaul bill in the DICP system, wherein the current overhaul link comprises a start link and a completion link; when the current maintenance link is the start link, executing step S11; when the current maintenance link is the complete link, executing step S12;

s11, obtaining the approved blackout operation starting time in the maintenance list, calculating a blackout time difference based on the current time in the DICP system and the approved blackout operation starting time, and executing the step S14;

s12, reading a current maintenance link of a related maintenance list related to the maintenance list in the DICP system, judging whether the maintenance links of the related maintenance list are all switched to a completion link, if so, executing a step S13, and if not, executing a step S13 after waiting for the maintenance links of the related maintenance list to be all switched to the completion link;

s13, identifying the maintenance list which is switched to the completion link at last, acquiring the approved power restoration operation starting time in the maintenance list which is switched to the completion operation intermediate link at last, calculating the power restoration time difference based on the current time in the DICP system and the approved power restoration operation starting time, and executing the step S14;

s14, judging whether the power failure time difference or the power restoration time difference is smaller than a preset second time difference, if so, executing a step S15, and if not, executing a step S16;

s15, acquiring a second early warning parameter based on the DICP system, and generating text data for voice broadcast by using the second early warning parameter, wherein the second early warning parameter comprises an early warning type, a maintenance order number, maintenance equipment, a current maintenance link, power failure time, repair time and a notification receiver; re-executing the step S8;

s16, when the power failure time difference is not smaller than the preset second time difference, jumping from the start link to the completion link based on the DICP system, and repeating the steps S12-S14; and when the power restoration time difference is not less than the preset second time difference, finishing the monitoring.

Preferably, the step S10 is followed by:

x11, judging whether the maintenance order generates the corresponding maintenance operation ticket based on the DICP system, and if so, ending the process; if the above judgment is no, step X12 is executed;

x12, acquiring early warning content based on the DICP system, wherein the early warning content comprises a maintenance order number, a notification person, an early warning type and a current maintenance link;

and X13, acquiring the service personnel in charge of maintenance in the maintenance list based on the DICP system, calling an outbound early warning engine to dial the telephone of the service personnel in charge of maintenance, and informing the early warning content.

Preferably, after the step X12, the step X13 is preceded by:

x121, generating text content according to the early warning content, and converting the text content into early warning voice data;

correspondingly, the step X13 specifically includes:

x131, acquiring service personnel in charge of maintenance in the maintenance list based on the DICP system;

x132, inquiring the telephone number of the service personnel in charge of maintenance based on a locally stored telephone registration ledger;

and X133 calling an outbound warning engine to dial the telephone number of the service personnel in charge of maintenance, calling a voice service engine to broadcast the warning voice data after the service personnel in charge of maintenance answers, and calling the outbound warning engine to carry out a redialing state when the service personnel in charge of maintenance does not answer.

In a second aspect, the present invention provides a scheduling work order flow monitoring system based on intelligent voice, including:

the maintenance operation ticket module is used for generating a maintenance operation ticket for scheduling a work task from the maintenance ticket in the DICP system;

the first reading module is used for reading a corresponding current operation link of the overhaul operation ticket in the DICP system, wherein the current operation link comprises a link to be audited, an audit link, a link to be executed and a link in execution;

the first judgment module is used for judging whether the instruction of the overhaul operation order in the current operation link is a power-off order or a power-on order;

the power failure order acquisition module is used for acquiring the approved power failure operation starting time in the maintenance list associated with the maintenance operation order when the instruction of the maintenance operation order is a power failure order, and is also used for calculating the power failure time difference based on the current time in the DICP system and the approved power failure operation starting time;

the power restoration command acquisition module is used for acquiring approved power restoration operation starting time in the maintenance list associated with the maintenance operation ticket when the command of the maintenance operation ticket is a power restoration command, and is also used for calculating a power restoration time difference based on the current time in the DICP system and the approved power restoration operation starting time;

the second judgment module is used for judging whether the power failure time difference or the power restoration time difference is smaller than a preset first time difference or not;

the system comprises a first early warning module, a second early warning module and a third early warning module, wherein the first early warning module is used for acquiring first early warning parameters based on the DICP system and generating text data for voice broadcast of the first early warning parameters, and the first early warning parameters comprise early warning types, ticket numbers, current operation links, batch time and operators;

the voice early warning module is used for converting the text data into voice data by calling a voice synthesis engine, transcribing the voice data into voice fragments, transmitting the voice fragments to a browser, and performing voice broadcast and broadcast content display through the browser;

a first skip module for skipping from the current operation link to a next operation link based on the DICP system.

Preferably, the system further comprises:

the second reading module is used for reading a corresponding current maintenance link of the maintenance list in the DICP system, wherein the current maintenance link comprises a start-up link and a completion link;

a start-up time obtaining module, configured to obtain an approved blackout operation start time in the repair order when the current repair link is the start-up link, and further configured to calculate a blackout time difference based on the current time in the DICP system and the approved blackout operation start time;

the completion detection module is used for reading the current maintenance link of the associated maintenance list associated with the maintenance list in the DICP system and judging whether the maintenance links of the associated maintenance list are all switched into a completion link; the system is also used for sending a working signal to a completion time acquisition module when the judgment is yes, and is also used for sending the working signal to the completion time acquisition module after waiting for all maintenance links of the associated maintenance list to be switched to completion links when the judgment is not yes;

a completion time obtaining module, configured to receive the working signal, identify a repair order that is finally switched to the completion link, obtain an approved power restoration operation start time in the repair order that is finally switched to the completion operation intermediate link, and calculate a power restoration time difference based on a current time in the DICP system and the approved power restoration operation start time;

the third judging module is used for judging whether the power failure time difference or the power restoration time difference is smaller than a preset second time difference or not;

the second early warning module is used for acquiring second early warning parameters based on the DICP system and generating text data for voice broadcast by using the second early warning parameters, wherein the second early warning parameters comprise early warning types, overhaul list numbers, overhaul equipment, a current overhaul link, power failure time, batch time and a notification receiver; the voice early warning module is also used for transmitting the text data to the voice early warning module so as to perform voice broadcast;

and the second skipping module is used for skipping from the start-up link to the completion link based on the DICP system when the power failure time difference is not less than the preset second time difference.

Preferably, the system further comprises:

a fourth judging module, configured to judge whether the repair order generates the corresponding repair operation ticket based on the DICP system;

the third early warning module is used for acquiring early warning contents based on the DICP system when the corresponding overhaul operation ticket is judged not to be generated in the overhaul bill, wherein the early warning contents comprise an overhaul bill number, a notice receiving person, an early warning type and a current overhaul link;

and the early warning notification module is used for acquiring the service personnel in charge of maintenance in the maintenance list based on the DICP system, and calling an outbound early warning engine to dial the telephone of the service personnel in charge of maintenance to inform the early warning content.

According to the technical scheme, the invention has the following advantages:

the invention provides a dispatching work order flow monitoring method and system based on intelligent voice, which are characterized in that a current operation link and an operation order are identified through a maintenance operation ticket generated by a maintenance order, whether the time difference of the operation order is overtime is judged, and when the overtime condition occurs, an early warning message is transmitted to a browser through a voice function to be broadcasted and content displayed, so that each operation link is monitored, the timeliness of a service flow is reminded and supervised through voice, early warning can be realized, the timeliness and interactivity of monitoring are improved, the technical problems that the monitoring is not timely and the dispatching work order flow is prone to errors are solved, and the power dispatching work efficiency in daily work, especially in an emergency fault state, is effectively improved.

Drawings

Fig. 1 is a flowchart of a scheduling work order flow monitoring method based on intelligent voice according to a first embodiment of the present application;

fig. 2 is a flowchart of a scheduling work order flow monitoring method based on intelligent voice according to a second embodiment of the present disclosure;

fig. 3 is a flowchart of a scheduling work order flow monitoring method based on intelligent voice according to a third embodiment of the present application;

fig. 4 is a schematic structural diagram of a first embodiment of a scheduling work order flow monitoring system based on intelligent voice according to an embodiment of the present application;

fig. 5 is a schematic structural diagram of a second embodiment of a scheduling work order flow monitoring system based on intelligent voice according to an embodiment of the present application;

fig. 6 is a schematic structural diagram of a third embodiment of a scheduling work order flow monitoring system based on intelligent voice according to an embodiment of the present application.

Detailed Description

In order to make the technical solutions of the present application better understood, 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 of 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.

For easy understanding, please refer to fig. 1, the scheduling work order flow monitoring method based on intelligent voice includes the following steps:

it should be noted that the overhaul operation ticket includes an item-by-item order operation ticket and a permission order operation ticket.

In the DICP system, the overhaul list generates item-by-item order operation tickets or permission order operation tickets, and the operation tickets are required by overhaul units.

it is understood that the sequence of the operation links may be an audit link, an execution link and an execution middle link in sequence.

it should be noted that the overhaul operation ticket includes the application time, the review time, the operation task of the approval operation time, the applicant, the licensor, the work order link status, and so on, so that the current operation link can be identified by detecting the identifier of the work order link.

it can be understood that the overhaul operation ticket is generated by an overhaul ticket, the overhaul operation ticket and the overhaul ticket can be associated through a work order number, and meanwhile, after the overhaul ticket is associated with the relation corresponding table of the overhaul operation ticket, the approved power failure operation starting time or the approved power restoration operation starting time can be obtained from the overhaul ticket; meanwhile, in the DICP system, the current time may be acquired.

S5, obtaining approved power restoration operation starting time in a maintenance list associated with the maintenance operation ticket, calculating a power restoration time difference based on the current time and the approved power restoration operation starting time in the DICP system, and executing S6;

it can be understood that the time difference is calculated by the judgment and then compared with the preset time difference, so that whether the power failure operation or the power restoration operation has the overtime condition or how much time is left from the overtime condition can be judged. In a general example, according to the scheduling operation procedure, the time difference is less than 5 minutes to be early warned.

S7, acquiring a first early warning parameter based on the DICP system, generating text data for voice broadcasting from the first early warning parameter, wherein the first early warning parameter comprises an early warning type, a ticket number, a current operation link, a batch time and an operator, and executing the step S8;

it should be noted that, in the first early warning parameter, the early warning type is predefined according to the type of the operation ticket and the current operation link, and includes arrival early warning, timeout warning, and the like, while in this embodiment, if the time is timeout, the early warning type is timeout warning; the ticket number, the current operation link, the batch time and the operator can be directly obtained from the overhaul operation ticket.

S8, calling a voice synthesis engine to convert the text data into voice data, transcribing the voice data into voice segments, transmitting the voice segments to the browser, and carrying out voice broadcasting and broadcast content display through the browser;

it should be noted that the function of converting text to voice can be realized through the man-machine conversation platform interface, so as to prepare for the subsequent early warning and broadcasting.

After voice broadcasting and broadcast content display are carried out through the browser, a user can check the broadcast content through logging in the browser and carry out voice broadcasting.

And S9, jumping to the next operation link from the current operation link based on the DICP system, and repeating the steps S2-S6 until the last operation link is finished.

It can be understood that when the power failure time difference or the power restoration time difference is not overtime, no early warning is needed, and the process monitoring needs to be performed on the next link until the last link.

In addition, after the step S8 is executed, the maintainer receives the warning prompt, and after the power restoration or power failure operation is performed, the maintainer also jumps to the next link to continue the process monitoring.

Further, step S8 is followed by:

s81, storing the voice data to the specified directory path on the server, and transmitting the specified directory path and the ending sentence of the voice data to the browser;

it should be noted that the server and the browser are in a communication relationship, and data interaction can be performed.

And S82, after receiving the specified directory path and the ending statement of the voice data through the browser, judging whether the specified directory path exists, and when the specified directory path exists, calling the voice playing space of the browser to output to an external playing device to play the voice of the voice data.

It should be noted that, when a corresponding voice file can be found in a directory path received by a browser, it is proved that the specified directory path exists, that is, the specified directory path is legal, and the specified directory path is output to an external playing device to perform voice playing on voice data, wherein the external playing device may include a court sound, so that a relevant maintainer can be quickly reminded through external playing; and when the specified directory path does not exist, namely the directory path is illegal, the voice playing space of the browser is not called and is output to an external playing device to play the voice of the voice data.

To further understand the monitoring process of the present embodiment, the following example is further explained by taking the monitoring process of generating an operation ticket by order as an example.

The method comprises the following specific steps:

1) in the DICP system, generating an operation ticket for dispatching work tasks item by item for a maintenance list;

2) reading a current operation link corresponding to the item-by-item operation ticket in the DICP system as a link to be audited;

3) judging whether the command of the item-by-item operation order in the link to be audited is a power-off command or a power-on command, executing the step 4) when the command of the item-by-item operation order is the power-off command, and executing the step 5) when the command of the overhaul operation order is the power-on command;

4) obtaining the approved blackout operation starting time in the overhaul list associated with the operation tickets one by one as 18: 00, wherein the approved blackout operation starting time is the operation time approved by the DICP system for executing blackout, meanwhile, the current time in the DICP system is 17: 53, the power failure time difference is calculated to be 7 minutes based on the current time 17: 53 in the DICP system and the approved blackout operation starting time 18: 00, and step 6) is executed;

5) obtaining approved power restoration operation starting time in a maintenance list associated with the operation ticket item by item, wherein the approved power restoration operation starting time is 20: 00 minutes, the approved power restoration operation starting time is the operation time approved to execute power restoration in the DICP system, meanwhile, the current time in the DICP system is 19: 53 minutes, the power restoration time difference is calculated to be 7 minutes based on the current time 19: 53 minutes and the approved power restoration operation starting time 20: 00 minutes in the DICP system, and the step 6) is executed;

6) judging whether the power failure time difference or the power restoration time difference is smaller than a preset first time difference, wherein the preset first time difference is 5 minutes, and if the power failure time difference or the power restoration time difference is not smaller than the preset first time difference, indicating that early warning is not needed to be carried out at the current time, and executing the step 7);

7) skipping to an auditing link from a link to be audited based on a DICP system, and repeating the steps 2-3), so that the instruction of the operation ticket item by item in the auditing link is judged to be a power-off instruction or a power-on instruction, when the instruction of the operation ticket item by item is the power-off instruction, the step 8) is executed, and when the instruction of the operation ticket for overhauling is the power-on instruction, the step 9) is executed;

8) obtaining the approved blackout operation starting time in the overhaul list associated with the operation tickets one by one as 18: 00, wherein the approved blackout operation starting time is the operation time approved by the DICP system for executing blackout, meanwhile, the current time in the DICP system is 17: 56, calculating the blackout time difference to be 4 minutes based on the current time 17: 56 in the DICP system and the approved blackout operation starting time 18: 00, and executing the step 10);

9) obtaining approved power restoration operation starting time in a maintenance list associated with each operation order as 20 points 00 minutes, wherein the approved power restoration operation starting time refers to the operation time approved to execute power restoration in the DICP system, meanwhile, the current time in the DICP system is 19 points 56 minutes, the difference of the power restoration time is calculated to be 4 minutes based on the 19 points 56 minutes and the 20 points 00 minutes of the approved power restoration operation starting time in the DICP system, and the step 10 is executed);

10) judging whether the power failure time difference or the power restoration time difference is smaller than a preset first time difference, wherein the preset first time difference is 5 minutes, and if the power failure time difference or the power restoration time difference is smaller than the preset first time difference, indicating that the operation needs to be accelerated at the current time, namely early warning needs to be performed, and executing the step 11);

it should be noted that, if the current time is earlier than the time when the power failure operation is approved or the time when the power restoration operation is approved, it indicates that the current time is not yet the time when the power failure is approved or the power restoration operation is approved, and the time difference between the current time and the time when the power failure operation is approved or the time when the power restoration operation is approved is greater than the preset first time difference, it indicates that the current time can continue to wait without reminding a worker; however, if the time difference between the current time and the time when the power failure operation is approved or the time when the power restoration operation is approved is smaller than the preset first time difference, the current time is relatively urgent, and the worker needs to be reminded in advance to prepare for the power failure operation or the power restoration operation, so that early warning is realized.

11) Acquiring a first early warning parameter based on a DICP system, generating the first early warning parameter into text data for voice broadcast, wherein the first early warning parameter comprises an early warning type, a ticket number, a current operation link, a batch time and an operator, and executing step 12);

12) and calling a voice synthesis engine to convert the text data into voice data, transcribing the voice data into voice segments, transmitting the voice segments to the browser, and carrying out voice broadcasting and broadcasting content display through the browser.

It should be noted that, this embodiment provides a scheduling work order flow monitoring method based on intelligent voice, which identifies a current operation link and an operation order through an overhaul operation ticket generated by an overhaul order, judges whether a time difference of the operation order is overtime, and when the overtime occurs, transmits an early warning message to a browser for broadcasting and content displaying through a voice function, thereby performing flow monitoring on each operation link, performing voice reminding and supervision on timeliness of a service flow, realizing early warning, improving timeliness and interactivity of monitoring, solving the technical problems of untimely monitoring and easy error of a scheduling work order flow, and effectively improving the power scheduling work efficiency in response to daily work, especially in an emergency fault state.

The above is a detailed description of a first embodiment of the scheduling work order flow monitoring method based on the intelligent voice, and the following is a detailed description of a second embodiment of the scheduling work order flow monitoring method based on the intelligent voice.

The embodiment further optimizes the early warning function on the basis of the first embodiment, and specifically, the embodiment is different from the first embodiment in that:

referring to fig. 2, after step S7, the method further includes:

it is understood that the mobile terminal includes a mobile phone, a tablet computer, and the like.

And S72, monitoring the short message sending state of the text data, generating a sending success identification when the short message of the text data is successfully sent, and writing the sending success identification into a preset short message sending data table.

It can be understood that when monitoring whether the short message is successfully sent, the short message can be identified by the successful sending identifier, and meanwhile, the successful sending identifier is written into a preset short message sending data table, which is beneficial to archiving and recording; when the sending of the short message of the text data is unsuccessful, go to step S71 to recall the short message sending engine to send the short message.

In the first embodiment, the notification channel of the short message is added, so that the timeliness of supervision is improved.

The above is a detailed description of the second embodiment of the scheduling work order flow monitoring method based on the intelligent voice, and the following is a detailed description of the third embodiment of the scheduling work order flow monitoring method based on the intelligent voice.

On the basis of the first embodiment, the present embodiment further optimizes the process supervision:

specifically, after step S9, the method further includes a step of monitoring the flow of the repair order, and referring to fig. 3, the method specifically includes the following steps:

s10, reading a corresponding current maintenance link of the maintenance list in the DICP system, wherein the current maintenance link comprises a start-up link and a completion link; when the current maintenance link is a start link, executing step S11; when the current maintenance link is a finished link, executing step S12;

it should be noted that the start-up link and the completion link are described with respect to the repair order, and the to-be-executed link is described with respect to the operation order.

S11, obtaining the start time of the approved power failure operation in the maintenance list, calculating the power failure time difference based on the current time in the DICP system and the start time of the approved power failure operation, and executing the step S14;

it is understood that the service order includes an approval blackout operation start time or an approval repowering operation start time.

S12, reading the current maintenance link of the associated maintenance list associated with the maintenance list in the DICP system, judging whether the maintenance links of the associated maintenance list are all switched to a completion link, if so, executing a step S13, and if not, executing a step S13 after waiting for the maintenance links of the associated maintenance list to be all switched to the completion link;

it should be noted that, in one maintenance procedure, multiple maintenance orders can be generated for scheduling, and meanwhile, multiple maintenance orders are associated with each other, so that when a process of one maintenance order is monitored, maintenance links of other associated maintenance orders need to be judged, and when all maintenance orders are not complete links, it indicates that the maintenance procedure is not completed, and when the maintenance orders are considered to be in a maintenance state, it needs to wait for all maintenance links of the associated maintenance orders to be switched to complete links.

S13, identifying the maintenance list which is switched to the completion link at last, acquiring the approved power restoration operation starting time in the maintenance list which is switched to the completion operation link at last, calculating the power restoration time difference based on the current time and the approved power restoration operation starting time in the DICP system, and executing the step S14;

it can be understood that the approved power restoration operation starting time of the last maintenance sheet switched to the completion link determines the final power restoration time, and therefore, after the maintenance sheet switched to the completion link is obtained, the power restoration time difference between the approved power restoration operation starting time recorded in the maintenance sheet and the current time is calculated most accurately.

in a general example, the preset second time difference is set to 30 minutes.

S15, acquiring a second early warning parameter based on the DICP system, and generating text data for voice broadcast of the second early warning parameter, wherein the second early warning parameter comprises an early warning type, a maintenance order number, maintenance equipment, a current maintenance link, power failure time, batch time and a notification person; re-executing step S8;

it should be noted that, in the second warning parameter, the warning type is predefined according to the current operation link, and includes arrival warning, timeout warning, and the like, while in the embodiment, if the time is overtime, the warning type is overtime warning; the number of the maintenance order, the maintenance equipment, the current maintenance link, the power failure time, the time of the batch reply and the notification receiving person can be directly obtained from the maintenance order.

S16, when the power failure time difference is not smaller than the preset second time difference, jumping from a start link to a completion link based on the DICP system, and repeating the steps S12-S14; and when the power restoration time difference is not less than the preset second time difference, finishing the monitoring.

It can be understood that when the power failure time difference is not less than the preset second time difference, it indicates that the start-up link has no problem, the process monitoring is performed on the next completion link, and when the completion link is monitored, the process monitoring on the maintenance list is finished.

Further, step S10 is followed by:

x11, judging whether the maintenance order generates a corresponding maintenance operation ticket based on the DICP system, and if so, ending the process; if the above judgment is no, step X12 is executed;

x12, acquiring early warning content based on a DICP system, wherein the early warning content comprises a maintenance order number, a notification person, an early warning type and a current maintenance link;

it can be understood that, when the DICP system determines that the corresponding overhaul operation ticket is not generated, the pre-warning content is acquired to prepare for informing the relevant service personnel responsible for overhaul.

And X13, acquiring the service personnel in charge of maintenance in the maintenance list based on the DICP system, calling an outbound early warning engine to dial the telephone of the service personnel in charge of maintenance, and informing early warning content.

It can be understood that when the overhaul operation ticket is not generated, the service personnel in charge of overhaul in the overhaul bill can be checked through the DICP system, the contact telephone can be checked through the service personnel, the telephone of the service personnel in charge of overhaul is dialed through the outbound warning engine, and the warning content is informed to remind the operator of generating items of the operation ticket.

Further, after the step X12, the step X13 may include:

correspondingly, the step X13 specifically includes:

x131, acquiring service personnel in charge of maintenance in a maintenance list based on a DICP system;

x132, inquiring the telephone number of a service person in charge of maintenance based on a locally stored telephone registration ledger;

and X133 calling the outbound warning engine to dial the telephone number of the service personnel in charge of maintenance, calling the voice service engine to broadcast the warning voice data after the service personnel in charge of maintenance answers, and calling the outbound warning engine to redial when the service personnel in charge of maintenance does not answer.

It can be understood that after the telephone number of the service personnel responsible for maintenance is automatically dialed by the outbound warning engine, when the service personnel answer, the voice service engine is used for automatically broadcasting the warning voice data so as to reduce the labor intensity of the user and avoid broadcasting errors, in addition, when the service personnel do not answer, a redialing state is carried out, wherein, in the redialing state, a redialing frequency can be set, if the telephone of the service personnel is dialed every 3 minutes, and meanwhile, the redialing is continuously carried out twice and other standby lines can be automatically switched and redialed for 3 times without being switched on, so that the accuracy rate of informing the people is ensured.

This embodiment is through carrying out the flow control to the maintenance list, both judge whether overtime to the power failure operation in start link and the completion link with the operation of replying to the electricity respectively, when the overtime condition appears, remind relevant business personnel through pronunciation, and simultaneously, still monitor whether to have the operation ticket of generating to the maintenance list, when not generating the operation ticket, then remind relevant business personnel through exhaling the early warning engine outward, the timeliness of flow supervision has been promoted, can in time carry out the early warning, and simultaneously, staff's intensity of labour has also been alleviateed.

The above is a detailed description of the third embodiment of the scheduling work order flow monitoring method based on the intelligent voice, and the following is a detailed description of the first embodiment of the scheduling work order flow monitoring system based on the intelligent voice.

For convenience of understanding, please refer to fig. 4, the present invention provides a scheduling work order flow monitoring system based on intelligent voice, including:

the overhaul operation ticket module 100 is used for generating an overhaul operation ticket for scheduling a work task from the overhaul ticket in the DICP system;

A first reading module 200, configured to read a current operation link corresponding to the overhaul operation ticket in the DICP system, where the current operation link includes a to-be-audited link, an audition link, a to-be-executed link, and an executing intermediate link;

The first judgment module 300 is configured to judge that an instruction of the overhaul operation ticket in the current operation link is a power-off order or a power-on order;

A blackout command acquisition module 400, configured to acquire an approved blackout operation start time in a maintenance order associated with the maintenance operation ticket when the instruction of the maintenance operation ticket is a blackout command, and further configured to calculate a blackout time difference based on the current time and the approved blackout operation start time in the DICP system;

The power restoration command acquisition module 500 is configured to acquire an approved power restoration operation start time in a maintenance order associated with the maintenance operation ticket when the instruction of the maintenance operation ticket is a power restoration command, and is further configured to calculate a power restoration time difference based on the current time and the approved power restoration operation start time in the DICP system;

a second determining module 600, configured to determine whether the power outage time difference or the power restoration time difference is smaller than a preset first time difference;

The first early warning module 700 is configured to acquire a first early warning parameter based on a DICP system, and generate the first early warning parameter into text data for voice broadcast, where the first early warning parameter includes an early warning type, a ticket number, a current operation link, a batch time, and an operator;

The voice early warning module 800 is configured to convert text data into voice data by invoking a voice synthesis engine, transcribe the voice data into voice segments, transmit the voice segments to a browser, and perform voice broadcast and broadcast content display through the browser;

A first skip module 900, configured to skip from a current operation link to a next operation link based on the DICP system.

Further, the present system comprises:

the voice storage module is used for storing the voice data to the specified directory path on the server and transmitting the specified directory path and the ending statement of the voice data to the browser;

And the path judgment module is used for judging whether the specified directory path exists or not after receiving the specified directory path and the ending statement of the voice data through the browser, and calling the voice playing space of the browser to output to the external playing device to carry out voice playing on the voice data when the specified directory path exists.

It should be noted that, this embodiment provides a dispatching work order flow monitoring system based on intelligent voice, current operation link and operation order are identified through the overhaul operation ticket generated by the overhaul order, whether the time difference of the operation order is overtime is judged, when the overtime condition occurs, the early warning message is transmitted to the browser through the voice function to be broadcasted and the content is displayed, thereby flow monitoring is performed on each operation link, voice reminding and supervision are performed on the timeliness of the service flow, early warning is realized, the timeliness and interactivity of monitoring are improved, the technical problems that monitoring is not timely and the dispatching work order flow is prone to making mistakes are solved, and the power dispatching work efficiency in dealing with daily work, especially in an emergency fault state, is effectively improved.

The above is a detailed description of a first embodiment of the scheduling work order flow monitoring system based on the intelligent voice, and the following is a detailed description of a second embodiment of the scheduling work order flow monitoring system based on the intelligent voice.

On the basis of the first embodiment of the scheduling work order flow monitoring system based on the intelligent voice, the early warning reminding function is further optimized, and the difference from the first embodiment specifically lies in that:

referring to fig. 5, the system further includes:

a short message sending module 801, configured to invoke a short message sending engine to send text data to a mobile terminal in a short message form;

The short message status monitoring module 802 is configured to monitor a short message sending status of the text data, generate a sending success identifier when the short message sending of the text data is successful, and write the sending success identifier into a preset short message sending data table.

It can be understood that when monitoring whether the short message is successfully sent, the short message can be identified by the successful sending identifier, and meanwhile, the successful sending identifier is written into a preset short message sending data table, which is beneficial to archiving and recording; and when the short message of the text data is unsuccessfully sent, the short message sending engine is called again to send the short message.

The above is a detailed description of the second embodiment of the scheduling work order flow monitoring system based on the intelligent voice, and the following is a detailed description of the third embodiment of the scheduling work order flow monitoring system based on the intelligent voice.

On the basis of the first embodiment of the scheduling work order flow monitoring system based on the intelligent voice, the present embodiment further optimizes flow supervision:

referring to fig. 6, the present invention further includes:

the second reading module 110 is configured to read a current overhaul link corresponding to the overhaul bill in the DICP system, where the current overhaul link includes a start-up link and a completion link;

it should be noted that the operation starting link and the completion link are described with respect to the repair order, and the execution link is described with respect to the operation order.

A start-up time obtaining module 210, configured to obtain an approved blackout operation start time in the overhaul list when the current overhaul link is the start-up link, and further configured to calculate a blackout time difference based on the current time and the approved blackout operation start time in the DICP system;

A completion detection module 310, configured to read a current overhaul link of an associated overhaul bill associated with the overhaul bill in the DICP system, and further configured to determine whether all overhaul links of the associated overhaul bill are switched to a completion link; the system is also used for sending a working signal to the completion time acquisition module when the judgment is yes, and is also used for sending a working signal to the completion time acquisition module after all maintenance links of the associated maintenance list are switched to completion links when the judgment is not yes;

A completion time obtaining module 410, configured to receive the working signal, identify the repair order that is finally switched to the completion link, obtain an approved power restoration operation start time in the repair order that is finally switched to the completion operation intermediate link, and calculate a power restoration time difference based on the current time and the approved power restoration operation start time in the DICP system;

A third determining module 510, configured to determine whether the power outage time difference or the power restoration time difference is smaller than a preset second time difference;

in a general example, the preset second time difference is set to 30 minutes.

The second early warning module 610 is configured to acquire a second early warning parameter based on the DICP system, and further configured to generate text data for voice broadcast from the second early warning parameter, where the second early warning parameter includes an early warning type, a repair order number, a repair device, a current repair link, a power failure time, a repair time, and a notification receiver; the voice early warning module 800 is also used for transmitting text data to perform voice broadcast;

After the text data are transmitted to the voice early warning module 800, the voice early warning module 800 is used for voice broadcasting the early warning parameters.

And a second skipping module 710, configured to skip from the start-up link to the completion link based on the DICP system when the power outage time difference is not smaller than the preset second time difference.

Further, still include:

the fourth judgment module is used for judging whether the corresponding overhaul operation ticket is generated in the overhaul bill based on the DICP system;

the third early warning module is used for acquiring early warning contents based on a DICP system when the fact that the corresponding overhaul operation ticket is not generated in the overhaul bill is judged, wherein the early warning contents comprise an overhaul bill number, a notice receiving person, an early warning type and a current overhaul link;

And the early warning notification module is used for acquiring the service personnel in charge of maintenance in the maintenance list based on the DICP system, and calling the outbound early warning engine to dial the telephone of the service personnel in charge of maintenance to inform the early warning content.

Further, still include:

the text conversion module is used for generating text contents according to the early warning contents and converting the text contents into early warning voice data;

the telephone number inquiry module is used for inquiring the telephone number of a service worker in charge of maintenance based on a locally stored telephone registration ledger;

and the outbound early warning module is used for calling the outbound early warning engine to dial the telephone number of the service personnel in charge of maintenance, calling the voice service engine to broadcast the early warning voice data after the service personnel in charge of maintenance receives the call, and calling the outbound early warning engine to redial when the service personnel in charge of maintenance does not receive the call.

This embodiment is through carrying out the flow control to the maintenance list, both judge whether overtime to the power failure operation in start link and the completion link respectively and the power restoration operation, when overtime, remind relevant business personnel through pronunciation, and simultaneously, still monitor whether to have the generation operation ticket to the maintenance list, when not generating the operation ticket, then remind relevant business personnel through exhaling the early warning engine outward, the timeliness of flow supervision has been promoted, can in time carry out the early warning, and simultaneously, staff's intensity of labour has also been alleviateed.

In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.

Claims

1. A scheduling work order flow monitoring method based on intelligent voice is characterized by comprising the following steps:

2. The intelligent voice-based dispatch work order flow monitoring method of claim 1, wherein the service operation tickets comprise order operation tickets and permit order operation tickets on an item-by-item basis.

3. The method for monitoring scheduling work order flow based on intelligent voice as claimed in claim 1, further comprising after the step S7:

4. The method for monitoring scheduling work order flow based on intelligent voice as claimed in claim 1, further comprising after the step S8:

5. The scheduling work order flow monitoring method based on intelligent voice according to claim 1, wherein the step S9 is followed by a step of flow monitoring the service order, and specifically comprises the following steps:

6. The method for scheduling work order flow monitoring based on intelligent voice as claimed in claim 5, further comprising after the step S10:

7. The method of claim 6, wherein after the step X12, the step X13 is preceded by:

correspondingly, the step X13 specifically includes:

8. The utility model provides a dispatch work order flow monitored control system based on intelligence pronunciation which characterized in that includes:

9. The intelligent voice-based dispatch work order flow monitoring system of claim 8, further comprising:

10. The intelligent voice-based dispatch work order flow monitoring system of claim 9, further comprising: