AU2021290248A1 - System for intelligent work order based on graphical strategy programming engine and working method thereof - Google Patents
System for intelligent work order based on graphical strategy programming engine and working method thereof Download PDFInfo
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Abstract
The present disclosure provides a system for intelligent work order based on graphical strategy
programming engine and working method thereof, comprising: a data acquisition unit, being used to
obtain equipment operation data and equipment attribute information in a building in real-time; a
work order generation strategy editing unit, being used to edit equipment alarm rules by using a
logical judgment method based on a dragging mode of graphical module in a visual interface; a
work order generation and distribution unit, being used to form a work order based on the work
order generation strategy in combination with the equipment operation data, and distribute the work
order according to pre-edited emergency disposal judgment rules. The solution realizes the flexible
editing of work order generation strategy based on the dragging mode of graphical modules in the
visual interface combined with the logical judgment method, so that users without coding basis can
quickly and conveniently generate work orders that meet the actual needs, it can effectively deal
with the complex and changeable scenarios of building operation and maintenance management.
Description
TECHNICAL FIELD The present disclosure belongs to the technical field of building operation and maintenance, in
particular to a system for intelligent work order based on graphical strategy programming engine
and working method thereof.
BACKGROUND Information of the Related Art part is merely disclosed to increase the understanding of the
overall background of the present invention, but is not necessarily regarded as acknowledging or
suggesting, in any form, that the information constitutes the prior art known to a person of ordinary
skill in the art.
With the rapid development of building electromechanical equipment and intelligent
equipment and the gradual improvement of information system in construction operation and
maintenance industry, more and more construction managers can obtain a large amount of
equipment data information. How to effectively organize the data of various electromechanical
professional systems and business subsystems, and enable the computer system to provide relatively
accurate intelligent repair application and intelligent order distribution has become an urgent
demand and technical difficulty of the industry.
The inventor found that the existing work order system for building operation and maintenance
has the following problems:
(1) The existing system needs to be solidified when the program is realized to form a set of
standardized system, so that all operations, processing, management and maintenance of the work
order system are carried out according to the standardized content; there are serious deficiencies in
its flexibility and user satisfaction, when the user's demand for the existing standardized content
changes, professional technicians are required to modify the background program, which is
time-consuming and labor-consuming.
(2) The work order generation strategy of the existing system is to solidify the writing when
the system program is implemented. For different types of building operation and maintenance, the
work order contents and disposal processes concerned by users are obviously different. The existing
work order system cannot meet the needs of different types of building operation and maintenance,
In terms of work order generation strategy, professional technicians are required to redevelop it; in
most cases, the work order generation strategy solidified in the system cannot cover all the needs of
users in practical applications.
(3) The work order generated by the existing system only solves the automatic transmission of
information of work order data under a relatively fixed organizational structure and process, but the
formation of work order mostly depends on the post response processing of visible malfunctions
according to the apparent abnormal malfunction conditions during use, but the equipment
malfunction information related to the apparent abnormal malfunction cannot be reflected in the
work order.
(4) The existing work order system lacks comprehensive and effective analysis of work order
data, unable to allocate work orders timely and accurately, has strong dependence on manual
scheduling of work orders, and is unable to carry out automatic scheduling, intelligent order
dispatch and business analysis, resulting in low maintenance efficiency.
SUMMARY In order to solve the above problems, the present disclosure provides a system for intelligent
work order based on graphical strategy programming engine and working method thereof. The
solution realizes the flexible editing of work order generation strategy based on the dragging mode
of graphical modules in the visual interface combined with the logical judgment method, so that
users without coding basis can quickly and conveniently generate work orders that meet the actual
needs, It can effectively deal with the complex and changeable scenarios of building operation and
maintenance management.
According to a first aspect of an embodiment of the present disclosure, there is provided a
system for intelligent work order based on graphical strategy programming engine, comprising:
a data acquisition unit, being used to obtain equipment operation data and equipment attribute
information in a building in real-time; a work order generation strategy editing unit, being used to edit equipment alarm rules by using a logical judgment method based on a dragging mode of graphical module in a visual interface; wherein, for an associated equipment and/or related malfunctions in the equipment, a parallel judgment and/or a nested condition judgment of the alarm rules being realized by the logical judgment method; a work order generation and distribution unit, being used to form a work order based on the work order generation strategy in combination with the equipment operation data, and distribute the work order according to pre-edited emergency disposal judgment rules; wherein the editing of the emergency disposal judgment rules includes a message template selection and an order receiving personnel template selection.
Further, the dragging mode of the graphical module in the visual interface is as follows: the
graphical module is associated with a query statement code of response, and an input of the
graphical module is used as an input parameter of the query statement; when the graphical module
dragging occurs, the corresponding query statement is automatically generated.
Further, the common alarm rules and emergency disposal judgment rules of equipment are
stored in dictionary as the built-in work order generation strategy of the system.
Further, in the process of editing the work order generation strategy, first screening a built-in
work order generation strategy from the dictionary for a certain equipment, if existing, it will be
displayed by the graphical module in the visual interface combined with logical judgment, and the
editable mode will be used for user adjustment; if not, editing the strategy directly.
Further, the distributing the work orders according to pre-edited emergency disposal judgment
rules, specifically is:
pushing the formulated work order to a preset team of corresponding level based on the
emergency disposal judgment rules, and the maintenance personnel in the preset team adopt the
mode of independent order receiving to realize the work order distribution;
or, based on a work order type and urgency, combined with shift scheduling status, skill tag
and grade tag of maintenance personnel, prioritizing a list of maintenance personnel in the preset
team, and selecting the maintenance personnel with the highest priority to dispatch orders; wherein,
if there are more than one person with the highest priority, a team supervisor will perform the
selection from among them.
Further, the prioritizing a list of maintenance personnel in the preset team, the specific strategy
of the prioritization is as follows:
the higher the priority of maintenance personnel who are idle in a specific time period;
calculating a similarity between the work order type and the skill tag based on a semantic
similarity calculation method; the higher the similarity, the higher the priority of maintenance
personnel;
the higher the skill level of maintenance personnel, the higher the priority.
According to the first aspect of the embodiment of the present disclosure, providing a working
method of the system for intelligent work order based on graphical strategy programming engine,
comprising:
obtaining equipment operation data and equipment attribute information in a building in
real-time;
editing equipment alarm rules by using a logical judgment method based on a dragging mode
of graphical module in a visual interface; wherein, for an associated equipment and/or related
malfunctions in the equipment, a parallel judgment and/or a nested condition judgment of the alarm
rules being realized by the logical judgment method;
forming a work order based on the work order generation strategy in combination with the
equipment operation data, and distribute the work order according to pre-edited emergency disposal
judgment rules; wherein the editing of the emergency disposal judgment rules includes a message
template selection and an order receiving personnel template selection.
Compared with the prior art, the beneficial effects of the present disclosure are:
(1) The present disclosure provides a system for intelligent work order based on graphical
strategy programming engine and working method thereof. The solution realizes the flexible editing
of work order generation strategy based on the dragging mode of graphical modules in the visual
interface combined with the logical judgment method, so that users without coding basis can
quickly and conveniently generate work orders that meet the actual needs, It can effectively deal
with the complex and changeable scenarios of building operation and maintenance management.
(2) The solution of the present disclosure adopts multi-level emergency treatment strategies,
and adopts different levels of emergency treatment strategies according to different conditions of
equipment failure and work order response time, which effectively ensures the rapid and efficient implementation of work orders and avoids the possibility of major accidents in some special buildings due to untimely work order treatment.
(3) The solution of the present disclosure can adopt manual mode, intelligent mode and a
combination of the two when distributing work orders. In the intelligent mode, the list of
maintenance personnel in the preset team is prioritized based on the work order type and urgency,
combined with the shift arrangement status, skill label and grade label of maintenance personnel,
Select the maintenance personnel with the highest priority to dispatch orders; the maintenance
personnel with the most relevant work order type and the best professional skills are guaranteed to
execute the work order as much as possible, which improves the efficiency and rationality of work
order dispatch and scheduling.
(4) The present disclosure improves the ability of a building automation (BA) system and an
intelligent building management system (IBMS) to flexibly schedule cross system data according to
complex and changeable maintenance, emergency and other application scenarios, and enables
users to quickly obtain the core judgment basis from a large amount of building equipment
operation data through a specific interface request method; and flexibly separating from the code
writing interface, writing judgment rules and disposal process by oneself, linking the equipment
remote control interface and the work order system, and formed a complete set of online and offline
solutions for finding, judging and disposing problems, which greatly improved the response
efficiency of abnormal data and the management and control efficiency of construction equipment.
The advantages of additional aspects of the present disclosure will be given in part in the
following description, and some will become apparent from the following description, or learned
through the practice of the present disclosure.
BRIEF DESCRIPTION OF THE DRAWINGS The accompanying drawings constituting a part of the present invention are used to provide a
further understanding of the present invention. The exemplary examples of the present invention
and descriptions thereof are used to explain the present invention, and do not constitute an improper
limitation of the present invention.
FIG.1 is a structural diagram of a system for intelligent work order based on graphical strategy
programming engine described in embodiment 1 of the present disclosure;
FIG.2 is a schematic diagram of editing of alarm rules for a water pressure of a fire pump
house exceeding a lower limit described in embodiment 1 of the present disclosure;
FIG.3 is a schematic diagram of editing of alarm rules for a parallel condition judgment and a
nested condition judgment described in embodiment 1 of the present disclosure;
FIG.4(a) is a schematic diagram of editing of the emergency disposal judgment rules of
primary disposal process described in embodiment 1 of the present disclosure;
FIG.4(b) is a schematic diagram of editing of the emergency disposal judgment rules of
secondary disposal process described in embodiment 1 of the present disclosure;
FIG.4(c) is a schematic diagrams of editing of the emergency disposal judgment rules of
tertiary disposal process described in embodiment 1 of the present disclosure;
FIG. 5 is a schematic diagram of the work order template, message template and order
receiving personnel template described in embodiment 1 of the present disclosure.
DETAILED DESCRIPTION The present disclosure will now be further described with reference to the accompanying
drawings and examples.
It should be noted that, the following detailed descriptions are all exemplary, and are intended
to provide further descriptions of the present disclosure. Unless otherwise specified, all technical
and scientific terms used herein have the same meanings as those usually understood by a person of
ordinary skill in the art to which the present disclosure belongs.
It should be noted that the terms used herein are merely used for describing specific
implementations, and are not intended to limit exemplary implementations of the present disclosure.
As used herein, the singular form is also intended to include the plural form unless the context
clearly dictates otherwise. In addition, it should further be understood that, terms "comprise" and/or
"include" used in this specification indicate that there are features, steps, operations, devices,
components, and/or combinations thereof.
The embodiments and features of the embodiments in this disclosure may be combined with
each other without conflict.
Example 1
The purpose of this embodiment is to provide an intelligent work order system based on a graphical strategy programming engine.
The system for intelligent work order based on graphical strategy programming engine,
comprising a data acquisition unit, a work order generation strategy editing unit and a work order
generation and distribution unit, wherein:
the data acquisition unit, being used to obtain an equipment operation data in a building and an
attribute information of the equipment itself in real-time by accessing a third-party (such as a
hospital) business system data.
The work order generation strategy editing unit, being used to edit equipment alarm rules by
using a logical judgment method based on a dragging mode of graphical module in a visual
interface; wherein, for an associated equipment and/or related malfunctions in the equipment, a
parallel judgment and/or a nested condition judgment of the alarm rules being realized by the
logical judgment method.
Specifically, the work order generation strategy editing unit is based on a graphical strategy
programming engine, the graphical strategy programming engine specifically is: setting rules based
on the dragging mode of graphical modules in the visual interface and combined with the logical
judgment method.
Further, the dragging mode of the graphical module in the visual interface is as follows: the
graphical module is associated with a query statement code of response, and an input of the
graphical module is used as an input parameter of the query statement; when the graphical module
dragging occurs, the corresponding query statement is automatically generated.
Based on the graphical strategy programming engine, combined with the equipment operation
data, the present disclosure compiling the alarm rules for out of limit equipment through the logical
judgment method, as shown in FIG. 2, which is the schematic diagram of editing of alarm rules for
a water pressure of a fire pump house exceeding a lower limit, wherein:
a returned alarm result is True or False; if the returned value is True, indicating that an overrun
judgment is met;
returning a device ID and a peak value with the result of True, and filtering a normal device
with the result of False.
The solution of the present disclosure fully considers the correlation between equipment
malfunctions, and based on the graphical strategy programming engine, compiles the predictable judgment rules for triggering emergency scenarios as far as possible to realize parallel condition judgment and nested condition judgment (including multiple associated malfunctions of the same equipment or malfunctions of different associated equipment), as shown in FIG. 3, each rule can feed back True or False to identify whether the condition is met; if True, it willjudge whether the trigger condition is met, and return the failed device ID and the corresponding trigger value.
The work order generation and distribution unit, being used to form a work order based on the
work order generation strategy in combination with the equipment operation data, and distribute the
work order according to pre-edited emergency disposal judgment rules; wherein the editing of the
emergency disposal judgment rules includes a message template selection and an order receiving
personnel template selection.
Wherein, the emergency disposal judgment rule adopts a multi-level emergency treatment
strategy, specifically including:
a primary disposal process: when one of the equipment alarm rules meets the conditions, the
malfunction equipment ID and alarm value are pushed to the primary alarm group members with
the preset message template;
a secondary disposal process: when more than two conditions in the equipment alarm rules are
met, the malfunction equipment ID and alarm value are pushed to the secondary alarm group
members in a preset way, the work order is created, and a timer is generated to time the response
time;
a tertiary disposal process, when the response time exceeds the preset threshold, according to
the preset message template, sending a message to the tertiary alarm group members, and informing
a disposal progress or the members to go to the site to command and dispatch.
Specifically, as shown in FIG.4(a)-FIG.4(c), the present disclosure preparing emergency
disposal judgment rules based on the combination of equipment alarm rules, determining
emergency disposal scenarios and levels, and realizing different disposal task process branches,
wherein:
The FIG. 4(a) shows that if only one judgment rule in the rule group returns true, the primary
disposal process is triggered to push the malfunction equipment ID and alarm value returned in the
rule to the primary alarm group members in the form of WeChat template or SMS template.
The FIG. 4(b) shows that when more than two judgment rules in the rule group return True, the secondary disposal process is triggered: sending the malfunction equipment ID and value to the members of the secondary alarm group, creating an inspection work order, and notifying the person in charge of the corresponding team to respond to the work order disposal process immediately; at the same time, a timer is generated to start timing the response time.
The FIG. 4(c) shows that if there is no processing feedback for each work order of the work
order task group within a certain time, the tertiary disposal process is triggered, and a message is
sent to notify the members of the tertiary alarm group according to the preset message template.
Further, the work order template, message template and order receiving personnel template
need to be set in advance, and all adopt editable mode, which is very friendly to users and
convenient for users to edit according to their own needs, wherein:
As shown in FIG.5, the user can use the work order template editing page to set the work order
disposal process based on rule judgment, the category and quantity of spare parts and maintenance
tools required in advance, so that the order receiving personnel can accurately and timely access the
required material resources, so as to save the maintenance period and improve the maintenance
efficiency; The user can edit the pushed message content using the message template. The user can
select different users in each alarm user group level to form a user queue by editing the order
receiver template.
The solution of the present disclosure automatically forms a work order through the work
order system interface, sets the work order emergency state, and pushes it to the preset team; the
system automatically forms an array of equipment name variables, location variables and
malfunction data variables according to the malfunction equipment ID and data transmitted by the
operation of the work order generation strategy, and provides necessary content fields for the work
order malfunction information for the user to flexibly call the work order template; specifically, as
shown in Table 1, the work order data includes at least the following fields:
Table 1 Fields Contained In Work Order Data
Field Name Field Description Required
Work order flow status Identify which phase the work order is currently in
Work order type Identify the category of the current work order
Repair personnel Identify the repair applicant who initiated the work order
Repair department Identify the authority department of the malfunction equipment
& Repair channel Identify the source channel of the work order
Repair picture Reserve supplementary description of malfunction status .epai.oice For automatic dictation, semantic analysis and automatic work order filling Failed device name/ID Identify malfunction equipment
Malfunction location Identify the location of the malfunction
Malfunction Describe the malfunction manually and can come from the
description repair voice
The malfunction location space code comes from the BIM Spatial coding system
Degree of urgency Used to define work order priority. The default is low priority
Feedback content Reserved field for filling in repair feedback
Creationtime Automatically generated according to the work order formationAutomatic time Order distribute time Record scheduling and dispatch time Automatic
Order receive time Record the repair time confirmed by the receiver Automatic Maintenance Record the repair completion time of the receiver Automatic completiontime Wherein, symbol - is required item and others are optional item.
Further, the distributing the work orders according to pre-edited emergency disposal judgment
rules, specifically is:
pushing the formulated work order to a preset team of corresponding level based on the
emergency disposal judgment rules, and the maintenance personnel in the preset team adopt the
mode of independent order receiving to realize the work order distribution;
or, based on a work order type and urgency, combined with shift scheduling status, skill tag
and grade tag of maintenance personnel, prioritizing a list of maintenance personnel in the preset
team, and selecting the maintenance personnel with the highest priority to dispatch orders; wherein,
if there are more than one person with the highest priority, a team supervisor will perform the
selection from among them.
Wherein, the data to be included in the maintenance personnel information in the third-party system is shown in Table 2:
Table 2 Maintenance Personnel Information
Field Name Field Description Required
User ID Identify users
User account For account login
User password For account login
Employee position Filter users
Department Filter users
User mailbox For account login and sending notification messages
Phone number For account login and sending notification messages
Third party account login ID For third-party account login and sending notification messages Account status Temporarily or permanently close or activate accounts
Scheduling status Filter valid users in a specific time
Custom skill tag Vaguely describe the skills that maintenance staff are good at Custom level label Vaguely describe the skill proficiency level of maintenance staff Custom performance factor Vaguely describe the maintenance label Attendance schedule Accurately send information from the attendance system to the shift scheduling table Wherein, symbol - is required item and others are optional item.
Further, the prioritizing a list of maintenance personnel in the preset team, the specific strategy
of the prioritization is as follows:
the higher the priority of maintenance personnel who are idle in a specific time period;
calculating a similarity between the work order type and the skill tag based on a semantic
similarity calculation method; the higher the similarity, the higher the priority of maintenance
personnel;
the higher the skill level of maintenance personnel, the higher the priority.
Specifically, according to the field description specified in Table 2, the system can
automatically determine the account status, shift scheduling status, skill tag and maintenance level
tag of the maintenance executor, intelligently filter the list of maintenance personnel of the corresponding team according to the importance and urgency of the work order in Table 1, and automatically match the effective or best executor for order dispatch, If the number of recommended maintainers given by the algorithm is greater than 1, then 2-3 (randomly selected) qualified maintainers are recommended to the team supervisor to assist in accurate order dispatch.
Further, the common alarm rules and emergency disposal judgment rules of equipment are
stored in dictionary as the built-in work order generation strategy of the system.
Further, in the process of editing the work order generation strategy, first screening a built-in
work order generation strategy from the dictionary for a certain equipment, if existing, it will be
displayed by the graphical module in the visual interface combined with logical judgment, and the
editable mode will be used for user adjustment; if not, editing the strategy directly.
Further, the attribute information of the device itself includes device ID, device location and
association information between devices. Specifically, the building equipment data and spatial
information data in the third-party system shall at least include the following fields (as shown in
Table 3 and table 4).
Table 3 Fields Contained In Equipment Information
Field name of Equipment Field Description Required
Equipment ID Identify equipment
Equipment name Describe the device name
Equipment model Distinguish equipment models
Subject Distinguish the discipline of the equipment Distinguish the subsystem to which the equipment belongs Equipment location Describe the device location
Space ID Associate with spatial data Describe the team or department responsible for Responsible team/Departmentmanenc maintenance
Table 4 Fields Contained In Space Information
Field name of Space Field Description Required
Space ID Identify space
Space name Describe the space name
Room number Describe the room number
Room status Get room occupancy status
Department Distinguish the Department to which the space belongs
& Hospital area Distinguish the courtyard area to which the space belongs
& Building Distinguish the building to which the space belongs
Floor Distinguish the floor to which the space belongs
Region Distinguish the area to which the space belongs
Monitoring object in space Identify the monitoring object set in the judgment space
& Wherein, symbol - is required item and others are optional item.
Further, the system of the present disclosure also includes a work order data analysis module,
which is used for user-defined analysis labels, inserting data sources by dragging, and automatically
generating visual charts:
The work order system data analysis is mainly divided into the following dimensions:
(1) Personnel performance
Analyzing task status, work order cycle, evaluation comments, related personnel and other data,
and conducting an assessment.
(2) Personnel scheduling
Analyzing the number of work orders in different months and making personnel planning in
advance.
(3) Overall solution
Analyzing the data of repair departments and repair locations, analyzing the overall
maintenance of departments and buildings, and deducing solutions, such as unified batch
replacement of a certain type of parts.
(4) Special solutions
Analyzing the data of maintenance subjects, find potential safety hazards and risk points, and
solve them in a special way.
(5) Refined cost management
Analyzing the data of repair departments and so on; some work orders require manufacturers or outsourcing units, and the repair cost can be analyzed accordingly to the data of repair departments.
Example 2
The purpose of this embodiment is to provide a working method of a working method of the
system for intelligent work order based on graphical strategy programming engine.
The working method of the system for intelligent work order based on graphical strategy
programming engine, comprising:
obtaining equipment operation data and equipment attribute information in a building in
real-time;
editing equipment alarm rules by using a logical judgment method based on a dragging mode
of graphical module in a visual interface; wherein, for an associated equipment and/or related
malfunctions in the equipment, a parallel judgment and/or a nested condition judgment of the alarm
rules being realized by the logical judgment method;
forming a work order based on the work order generation strategy in combination with the
equipment operation data, and distribute the work order according to pre-edited emergency disposal
judgment rules; wherein the editing of the emergency disposal judgment rules includes a message
template selection and an order receiving personnel template selection.
The above embodiment providing the system for intelligent work order based on graphical
strategy programming engine and working method thereof can be realized and has broad application
prospects.
The foregoing descriptions are merely preferred embodiments of the present invention, but not
intended to limit the present invention. A person skilled in the art may make various alterations and
variations to the present invention. Any modification, equivalent replacement, or improvement
made within the spirit and principle of the present invention shall fall within the protection scope of
the present invention.
Although the particular embodiments of the present disclosure have been described above with
reference to the accompanying drawings, it is not intended to limit the scope of the disclosure. It
will be apparent to those skilled in the art that various modifications and variations can be made in
the present disclosure without involving any inventive effort.
Claims (10)
- CLAIMS 1. A system for intelligent work order based on graphical strategy programming engine,comprising:a data acquisition unit, being used to obtain equipment operation data and equipment attributeinformation in a building in real-time;a work order generation strategy editing unit, being used to edit equipment alarm rules byusing a logical judgment method based on a dragging mode of graphical module in a visualinterface; wherein, for an associated equipment and/or related malfunctions in the equipment, aparallel judgment and/or a nested condition judgment of the alarm rules being realized by thelogical judgment method;a work order generation and distribution unit, being used to form a work order based on thework order generation strategy in combination with the equipment operation data, and distribute thework order according to pre-edited emergency disposal judgment rules; wherein the editing of theemergency disposal judgment rules includes a message template selection and an order receivingpersonnel template selection.
- 2. The system for intelligent work order according to claim 1, wherein the dragging mode ofthe graphical module in the visual interface, specifically comprising: associating the graphicalmodule with a query statement code of response, and using an input of the graphical module as aninput parameter of the query statement; when the graphical module dragging occurs, thecorresponding query statement being automatically generated.
- 3. The system for intelligent work order according to claim 1, wherein storing the commonalarm rules and emergency disposal judgment rules of equipment by using a dictionary, and thestored rules being the work order generation strategy built-in the system.
- 4. The system for intelligent work order according to claim 1, wherein in the process of editingthe work order generation strategy, first screening a built-in work order generation strategy from thedictionary for a certain equipment; if the strategy existing, displaying the strategy by the method ofthe graphical module in the visual interface combined with logical judgment, and adopting aneditable mode for user adjustment; if not, performing the strategy editing directly.
- 5. The system for intelligent work order according to claim 1, wherein the emergency disposal judgment rule adopts a multi-level emergency treatment strategy, specifically comprising: a primary disposal process: when one of the equipment alarm rules meets the conditions, the malfunction equipment ID and alarm value are pushed to the primary alarm group members with the preset message template; a secondary disposal process: when more than two conditions in the equipment alarm rules are met, the malfunction equipment ID and alarm value are pushed to the secondary alarm group members in a preset way, the work order is created, and a timer is generated to time the response time; a tertiary disposal process, when the response time exceeds the preset threshold, according to the preset message template, sending a message to the tertiary alarm group members, and informing a disposal progress or the members to go to the site to command and dispatch.
- 6. The system for intelligent work order according to claim 1, wherein the distributing thework orders according to pre-edited emergency disposal judgment rules, specifically comprising:pushing a formulated work order to a preset team of corresponding level based on theemergency disposal judgment rules, and the maintenance personnel in the preset team to realizework order distribution by adopting a mode of independent order receiving;or, based on a work order type and urgency, combined with shift scheduling status, skill tagand grade tag of maintenance personnel, prioritizing a list of maintenance personnel in the presetteam, and selecting the maintenance personnel with the highest priority to dispatch orders; wherein,if there are more than one person with the highest priority, a team supervisor will perform theselection from among them.
- 7. The system for intelligent work order according to claim 6, wherein the prioritizing a list ofmaintenance personnel in the preset team, the specific strategy of the prioritization comprising:the higher the priority of maintenance personnel who are idle in a specific time period;the higher the similarity, the higher the priority of maintenance personnel; wherein, thesimilarity between the work order type and the skill tag being calculated based on a semanticsimilarity calculation method;the higher the skill level of maintenance personnel, the higher the priority.
- 8. The system for intelligent work order according to claim 1, wherein the message templateand order receiving personnel template adopting an editable mode.
- 9. The system for intelligent work order according to claim 1, wherein the attribute informationof equipment own includes but is not limited to an equipment ID, an equipment location and aninter equipment association information.
- 10. A working method of the system for intelligent work order based on graphical strategyprogramming engine, comprising:obtaining equipment operation data and equipment attribute information in a building inreal-time;editing equipment alarm rules by using a logical judgment method based on a dragging modeof graphical module in a visual interface; wherein, for an associated equipment and/or relatedmalfunctions in the equipment, a parallel judgment and/or a nested condition judgment of the alarmrules being realized by the logical judgment method;forming a work order based on the work order generation strategy in combination with theequipment operation data, and distribute the work order according to pre-edited emergency disposaljudgment rules; wherein the editing of the emergency disposal judgment rules includes a messagetemplate selection and an order receiving personnel template selection.
Applications Claiming Priority (3)
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|---|---|---|---|
| CN2021112479252 | 2021-10-26 | ||
| CN202111247925.2A CN113918141B (en) | 2021-10-26 | 2021-10-26 | Intelligent work order system based on graphical strategy programming engine and working method thereof |
| PCT/CN2021/134564 WO2023070819A1 (en) | 2021-10-26 | 2021-11-30 | Intelligent work order system based on graphical strategy programming engine, and working method thereof |
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| AU2021290248A1 true AU2021290248A1 (en) | 2023-05-11 |
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| AU2021290248A Abandoned AU2021290248A1 (en) | 2021-10-26 | 2021-11-30 | System for intelligent work order based on graphical strategy programming engine and working method thereof |
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| CN (1) | CN113918141B (en) |
| AU (1) | AU2021290248A1 (en) |
| WO (1) | WO2023070819A1 (en) |
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| CN116050811B (en) * | 2023-03-31 | 2023-07-07 | 天津中新智冠信息技术有限公司 | Work order processing method and device, electronic equipment and storage medium |
| CN116307286B (en) * | 2023-05-19 | 2023-08-22 | 安徽数智建造研究院有限公司 | Building operation and maintenance work order monitoring management system based on digitization |
| CN116860227B (en) * | 2023-07-12 | 2024-02-09 | 北京东方金信科技股份有限公司 | Data development system and method based on big data ETL script arrangement |
| CN117294495A (en) * | 2023-09-26 | 2023-12-26 | 河南省烟草公司郑州市公司 | Intelligent transportation and maintenance state system based on automation technology |
| CN117114366A (en) * | 2023-10-23 | 2023-11-24 | 天津中新智冠信息技术有限公司 | Work order distribution method and device, electronic equipment and storage medium |
| CN117215542B (en) * | 2023-11-07 | 2024-05-14 | 上海华创自动化工程股份有限公司 | Custom data processing system and method |
| CN117473171B (en) * | 2023-12-28 | 2024-05-24 | 江西省映尚科技有限公司 | Intelligent interconnection system and method based on digital content visualization |
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| US20140081697A1 (en) * | 2003-05-22 | 2014-03-20 | P&RO Solutions, Inc. | Planning and scheduling tool assistant |
| CN102195813A (en) * | 2011-05-04 | 2011-09-21 | 成都勤智数码科技有限公司 | Method and device for intelligently creating operation and maintenance worksheet |
| CN104020997B (en) * | 2014-06-13 | 2017-05-10 | 中国民航信息网络股份有限公司 | Extensible graphical rule application system |
| CN108427587A (en) * | 2018-01-10 | 2018-08-21 | 链家网（北京）科技有限公司 | Visualization tasks configuration method, system, electronic equipment and storage medium |
| CN112333292B (en) * | 2021-01-06 | 2021-05-04 | 苏州光格科技股份有限公司 | Electric power internet of things gateway edge calculation method |
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2021
- 2021-10-26 CN CN202111247925.2A patent/CN113918141B/en active Active
- 2021-11-30 WO PCT/CN2021/134564 patent/WO2023070819A1/en unknown
- 2021-11-30 AU AU2021290248A patent/AU2021290248A1/en not_active Abandoned
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| US9762659B2 (en) * | 2014-01-03 | 2017-09-12 | Fisher-Rosemount Systems, Inc. | Reusable graphical elements with quickly editable features for use in user displays of plant monitoring systems |
| US20170236067A1 (en) * | 2016-02-12 | 2017-08-17 | Fisher-Rosemount Systems, Inc. | Rule Builder in a Process Control Network |
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| Publication number | Publication date |
|---|---|
| CN113918141A (en) | 2022-01-11 |
| WO2023070819A1 (en) | 2023-05-04 |
| CN113918141B (en) | 2022-08-23 |
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