CN109740771A - A kind of intelligent control management system and method for responsibility assessment - Google Patents
A kind of intelligent control management system and method for responsibility assessment Download PDFInfo
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Abstract
The invention discloses a kind of intelligent control management systems of responsibility assessment, including regular repository, common recognition process module, management level allocation list, job responsibility inventory allocation list, interface of internet of things, assessment database, the rule repository, in conjunction with management level allocation list, according to working regulation, room and time as defined in job responsibility inventory allocation list, according to the data of interface of internet of things, gives a mark and define to tissue, post, personnel；The common recognition process module, forms the common recognition of responsibility, and the procedure for responsibility is assessed；The interface of internet of things acquires Internet of Things information, comprising: time, place, facility ID, facility failure data, facility alert data, alert process phase data, consequence data, associated monitoring and identification content, related recording and identification content etc.；The assessment database, for saving assessment result.The invention also discloses a kind of intelligent control management methods of responsibility assessment.
Description
Technical field
The invention belongs to field of intelligent control, the intelligent control management system and method for specifically a kind of responsibility assessment.
Background technique
During social development, the requirement to collaboration, individuation management is stepped up, blame, weigh, the management of benefit also gradually
It improves, responsibility carries out the important means become to important challenge management at all levels.
Currently, it is all stopped substantially on paper to how responsibility is carried out at all levels, then calls to account and handle just very difficult, had
Certain evaluation mechanism, but it is all not perfect.
There is " two responsibilities " software at present, main body Responsibility Content is corresponded with the measure for implementing main body responsibility, makes main body
Responsibility no longer blurs, and to change the phenomenon that passing by " implementing meeting with meeting ", " implementing file with file ", solves main body responsibility not
Clearly, the unknown problem of responsible party.
But be also only above to realize some evidences, also do not fully achieve data-driven responsibility, responsibility effectively assesses machine
System.
Have some assessment ways at present, is substantially with evaluation criteria and realizes the assessment of responsibility, be relatively specific for people
Work processing cannot achieve the encapsulation of responsibility, effective driving of responsibility, effective dynamic evaluation of responsibility, the prompting of responsibility, duty substantially
The data reasoning etc. appointed.
Summary of the invention
In order to solve the above technical problems existing in the prior art, the present invention provides a kind of intelligence controls of responsibility assessment
Management method processed, includes the following steps:
Step 1: being defined according to responsibility schedules item and working regulation, acquire relevant working regulation data item by item, while from Internet of Things
Phase data is obtained in network interface；
Step 2: the data obtained from interface of internet of things include: time, place, facility ID, facility failure data, facility alarm number
According to, alert process phase data, consequence data, associated monitoring and identification content, related recording and identification content etc.；
Step 3: judging whether internet of things data needs manually to verify, if desired, then by artificial field verification data, carry out object
Effective amendment of networking data；
Step 4: if above data is submitted in stages period, by one and more, follow-up work (is such as supervised at the appointed time
Pipe task) approval, can build consensus data；
Step 5: if common recognition is once wrong, can apply knowing together again, after knowing together again, re-form common recognition data；
Step 6: if the stipulated time has been already expired, directly forming the common recognition data whether work is completed；
Step 7: being given a mark according to common recognition in conjunction with assessment rule, score, which summarizes, to be generated in assessment database.
Step 8: generating report；
Step 9: terminating.
Further, further include following steps: obtaining phase data from people's networking interface, obtained from people's networking interface
Data include: that time, place, facility ID, patrol related account, scene evidence taking content (photo or video etc.), cell phone application are automatic
Identify content；Mobile phone RFID, backlog such as report for repairment at the items.
Further, further include that responsibility reminds step:
Step 1: the pre-set time reminded is needed according to Rule；
Step 2: if pre-set time does not arrive, being shown: being completed by different colours and high responsibility schedules of knowing together；The duty completed
Appoint inventory；The responsibility schedules not started；
Step 3: pre-set time arrives, then directly pops up corresponding responsibility schedules item and working regulation requirement；
Step 4: clicking working regulation, directly submitted by content requirement, oneself correlation can be obtained from people's networking or Internet of Things
Data；
Step 5: terminating.
Further, further include responsibility investigation step:
Step 1: the relevant classification of selection responsibility can be hierarchical categories；
Step 2: being selected from the responsibility schedules item listed one or more；
Step 3: retrieving post collection involved in corresponding responsibility inventory item；
Step 4: being concentrated from corresponding post list corresponding personnel and marking situation again；
Step 5: the commencement date and deadline of choice phase, the case where listing human assessment from low to high, and deduction of points content；
Step 6: generating responsibility investigation report；
Step 7: terminating.
The invention also discloses a kind of intelligent control management systems of responsibility assessment, including regular repository, common recognition process
Module, management level allocation list, job responsibility inventory allocation list, interface of internet of things, assessment database,
The rule repository, in conjunction with management level allocation list, according to working regulation, sky as defined in job responsibility inventory allocation list
Between and the time given a mark definition to tissue, post, personnel according to the data of interface of internet of things；
The common recognition process module, forms the common recognition of responsibility, and the procedure for responsibility is assessed；
The interface of internet of things acquires Internet of Things information, comprising: time, place, facility ID, facility failure data, facility alarm
Data, alert process phase data, consequence data, associated monitoring and identification content, related recording and identification content etc.；
The assessment database, for saving assessment result.
It further, further include people's networking interface, people's networking interface acquires people's networked information, comprising: the time,
Point, facility ID, patrol related account, scene evidence taking content (photo or video etc.), cell phone application automatic identification content；Mobile phone
RFID, backlog such as report for repairment at the items.
The present invention also provides a kind of responsibility appraisal procedures of Internet of Things information driving, include the following steps:
Step 1: from interface of internet of things timing acquisition data, comprising: the time；Place；Facility ID；Facility failure data, facility report
Alert data, alert process phase data, consequence data, associated monitoring and identification content (related recognition of face content, corelation behaviour
Identify content), related recording and identification content etc..Judge whether that having a responsibility for event needs to start, and needs, goes to step 2, otherwise
Repeat step 1；
Step 2: obtaining the working regulation of corresponding data from job responsibility inventory configuration 14, obtain corresponding personnel and corresponding responsibility
Assess content；
Step 3: starting working regulation, and the case where timing obtains data from interface of internet of things, and whether validation task complete, completion
It can determine whether in place by internet of things data；
Step 4: the timing node of verifying assessment database continues to execute step 3 if timing node is less than；If the time
Node has arrived, then goes to step 5；
Step 5: giving a mark by assessment rule, score, which summarizes, to be generated in assessment database.
The present invention also provides a kind of intelligent responsibility appraisal procedure of Internet of Things, there is deep learning packet, including walk as follows
It is rapid:
Step 1: summarizing all related internet of things data, people's networking data；
Step 2: according to deep learning packet, the intelligent evaluation of responsibility is obtained by intelligence computation；
Step 3: intelligent evaluation realize score generation, and carry out score summarize be generated to assessment database in.
Further, also have the storage of block chain, that is, after reaching common understanding, block can be generated and broadcast or directed acyclic
Figure mode stores, with mask certification message mechanism realization processing.
The beneficial effects of the present invention are: the present invention acquires responsibility date by integrated Internet of Things, people's networking, improves
The universality of liability management is known together by responsibility and realizes the encapsulation of responsibility, and realizes effectively commenting for common recognition responsibility by rule
Estimate, to realize the Process of Information supervision of responsibility, the information-based process called to account well.
Detailed description of the invention
Fig. 1 is the intelligent control management system schematic diagram of responsibility assessment of the invention；
Fig. 2 is marking flow chart；
Fig. 3 is people's networking and Internet of Things schematic diagram.
Specific embodiment
The present invention will be further explained below with reference to the attached drawings.
As shown in Figure 1-3, the intelligent control management system that responsibility of the invention is assessed, system backer networking, Internet of Things
Net, including regular repository 11, common recognition process module 12, management level allocation list 13, job responsibility inventory allocation list 14, Internet of Things
Network interface 15, people's networking interface 16, assessment database 17.
Regular repository 11 works in conjunction with management level allocation list 13 according to as defined in job responsibility inventory allocation list 14
Regulation, room and time, according to the data of interface of internet of things 15 and people's networking interface 16, it is fixed to give a mark to tissue, post, personnel
Justice.
Common recognition process module 12, forms the common recognition between the common recognition of responsibility, such as responsibility relevant people, can be used for responsibility
Procedure assessment.
Interface of internet of things 15 acquires Internet of Things information, including but not limited to: the time；Place；Facility ID；Facility failure number
According to, facility alert data, alert process phase data, consequence data, associated monitoring and identification content, including related recognition of face
Content, corelation behaviour identification content, related recording and identification content etc.；
People's networking interface 16 acquires people's networked information, including but not limited to: the time；Place；Facility ID；Correlation of patrolling account；It is existing
Field evidence obtaining content: photo, video, recording；Cell phone application automatic identification；Mobile phone RFID etc..Backlog such as reports for repairment at the items；
Database 17 is assessed, for saving assessment result.
The intelligent control management method of responsibility assessment of the invention, includes the following steps:
Step 1: responsibility schedules item and working regulation definition in 14 being configured according to job responsibility inventory, acquire relevant work item by item
Make protocol data, while obtaining phase data from people's networking interface 16, interface of internet of things 15；
Step 2: the data obtained from interface of internet of things 15 include: the time；Place；Facility ID；Facility failure data, facility alarm
(related recognition of face content, corelation behaviour are known for data, alert process phase data, consequence data, associated monitoring and identification content
Other content), related recording and identification content etc..In contrast with working regulation data, and each deduction of points content, bonus point are realized
Content.
Step 3: people's networked information of acquisition includes: the time；Place；Facility ID；Correlation of patrolling account；In scene evidence taking
Hold: photo, video, recording；Cell phone application automatic identification；Mobile phone RFID etc.；Backlog such as reports for repairment at the items.Wherein time and work
It is necessary as content.
Step 4: judging whether internet of things data needs manually to verify, if desired, then by artificial field verification data, into
Effective amendment of row internet of things data.
Step 5: if above data is submitted in stages period, passing through one and more follow-up works at the appointed time
The approval of (such as task of supervision), can build consensus data；
Step 6: if common recognition is once wrong, can apply knowing together again, for example internet of things data in-house facility is problematic, then may be used
To resubmit corresponding data, after knowing together again, common recognition data are re-formed；
Step 7: if the stipulated time has been already expired, directly forming the common recognition data whether work is completed；
Step 8: being given a mark according to common recognition in conjunction with assessment rule, score, which summarizes, to be generated in assessment database 17.
Step 9: generating report；
Step 10: terminating.
The responsibility appraisal procedure of Internet of Things information driving of the invention, includes the following steps:
Step 1: from 15 timing acquisition data of interface of internet of things, comprising: the time；Place；Facility ID；Facility failure data, facility
Alert data, alert process phase data, consequence data, associated monitoring and identification content (related recognition of face content, associated row
To identify content), related recording and identification content etc..Judge whether that having a responsibility for event needs to start, and needs, goes to step 2, it is no
Then repeat step 1.
Step 2: obtaining the working regulation of corresponding data from job responsibility inventory configuration 14, obtain corresponding personnel and corresponding
Responsibility assesses content.
Step 3: starting working regulation, and timing obtains data from interface of internet of things 15, whether validation task is completed, and completes
The case where by internet of things data i.e. can determine whether in place.
Step 4: the timing node of verifying assessment database continues to execute step 3 if timing node is less than；If
Timing node has arrived, then goes to step 5.
Step 5: giving a mark by assessment rule, score, which summarizes, to be generated in assessment database 17.
The intelligent responsibility appraisal procedure of Internet of Things increases deep learning packet 18, includes the following steps:
Step 1: summarizing all related internet of things data, people's networking data；
Step 2: according to deep learning packet 18, the intelligent evaluation of responsibility is obtained by intelligence computation；
Step 3: intelligent evaluation realize score generation, and carry out score summarize be generated to assessment database 17 in.
In addition above to assess database 17, it can be the management of block chain storage 19, i.e., form block after assessment marking, and
It is broadcasted.
Embodiment
In fire-fighting application, for laboratory safety person, there is the hidden troubles removing an of vent cabinet to work.
1) it is saved in job responsibility inventory allocation list 14: the 5th: hidden danger row is carried out to the various equipment in this laboratory
It looks into, the hidden danger content and inspection item of investigation are by " laboratory safety regulation ", wherein needing to provide hidden troubles removing and Rectification of hidden dangers
Account；
2) save in regular repository 11: the 5th total score 6 is divided；Hidden danger is not checked and is come out, each 1 point of button；Hidden danger is not timely
0.5 point of rectification button, in time rectification are 10 working days；Hidden danger does not rectify and improve more than two stages in time, then detains 1 point, upper level prison
Manage each 0.5 point of button；
3) level allocation list 13: institute security official, laboratory safety person liable, laboratory safety person's (three-level, experiment after i.e. is managed
Room safety responsibility people and the corresponding 5th supervision responsibility of institute security official are divided into 4 points)；
4) common recognition process module 12: safety responsibility people, laboratory safety person are true by " laboratory safety regulation " project progress hidden danger
Recognize, rectify and improve completion confirmation, internet of things equipment fault recognition, as the hidden danger of vent cabinet has: motor ages, the event of vent cabinet headlamp
Barrier, vent cabinet air flux be not up to standard；Different list of devices；
5) interface of internet of things 15: such as to vent cabinet, the detection of motor speed value, the detection of brightness of illumination value, ventilation wind speed measurement, ventilation
Air volume test；
6) people's networking interface 16: hidden troubles removing account, Rectification of hidden dangers account；
7) database 17: name, date, period (certain moon), project, score is assessed.
Process flow is as follows:
Step 1: giving a mark for each single item in job responsibility inventory configuration 14；Go to the 5th；
Step 2: acquisition internet of things data, internet of things data analyzes in real time: date that hidden danger generates, hidden danger whether rectified and improved and
Date.
Step 3: the date that hidden danger is generated, more than 10 working days, then each detained 0.5 point compared with current date；Such as
Fruit is more than 20 working days, then each 1 point of button, and upper level supervision item also detains 0.5 point.
Step 4: related content informs laboratory safety person, and whether laboratory safety person can check Internet of Things problematic,
If there is no problem, then step 1 is jumped to, is given a mark to other, if it is last, then summarizes end.
Step 5: to internet of things equipment the problem of carries out proof explanation, and submit to upper level laboratory safety person liable,
Institute security official can determine through both sides' confirmation；If hidden danger has been repaired, but internet of things equipment is faulty to have failed automatic identification
Rectification, then this does not deduct points.
Step 6: jumping to step 1, give a mark to other, if it is last, then summarize end.
Step 8: summarizing end.
The step of responsibility is reminded:
Step 1: the pre-set time reminded is needed according to Rule；
Step 2: if pre-set time does not arrive, being shown: being completed by different colours and high responsibility schedules of knowing together；The duty completed
Appoint inventory；The responsibility schedules not started；
Step 3: pre-set time arrives, then directly pops up corresponding responsibility schedules item and working regulation requirement；
Step 4: clicking working regulation, directly submitted by content requirement, oneself correlation can be obtained from people's networking or Internet of Things
Data；
Step 5: terminating.
The step of responsibility investigation:
Step 1: the relevant classification of selection responsibility can be hierarchical categories；
Step 2: being selected from the responsibility schedules item listed one or more；
Step 3: retrieving post collection involved in corresponding responsibility inventory item；
Step 4: being concentrated from corresponding post list corresponding personnel and marking situation again；
Step 5: the commencement date and deadline of choice phase, the case where listing human assessment from low to high, and deduction of points content；
Step 6: generating responsibility investigation report；
Step 7: terminating.
Common recognition mechanism: people, which networks, to know together；Internet of Things common recognition；Time common recognition；Combined common recognition process of exchange；
The classification and priority of common recognition:
1, the time: in the defined period, according to the dynamic of time, day, week, half a month, the moon, bimonthly, season, half a year, year
2, artificial intelligence: data procedures intelligent decision；
3, Internet of Things: failure, alarm treatment process；
4, people networks: responsible party, supervision, leader are related, and rule is related, such as the data that typing is different；
5, space, personnel it is regular in place: space content (BIM, Building Information Model) delimited, personnel
Marking rule is as shown in table 1.
The marking rule list of table 1
Transaction is the process of responsibility marking；Data realize that responsibility marking is refined on the basis of above by consensus rules:
Main body responsibility, the linkage relationship for supervising responsibility and leadership responsibility then supervise responsibility and are also required to detain if main body responsibility is not completed
Point.
1) basis is divided into how many points, and each single item responsibility schedules accounting score has highest bonus point and highest deduction of points.Example: basis
It is divided into 60 points, a certain item accounting score are as follows: 5 points, then highest bonus point is 2 points, and highest deduction of points is 3 points, and highest bonus point presses (100- base
Plinth point) * accounting score/100 calculate, and highest deduction of points divides * accounting score/100 by basis.
2) period seeks to detain how many points if do not done, in a cycle.How many points are detained in two periods, simultaneously
The personnel's responsibility directly supervised point must also detain how many points.
3) it is divided into two:
A) event, which is done, does not do, and has done and has added few point；It does not do and subtracts how many points；
B) the simple assessment of event effect, there are three types of foundation, artificial intelligence assessments then how much to determine score for respective material, Internet of Things
Assessment then determine score be it is how many, then determining score of knowing together is how many.
4) event needs space or the covering of personnel, then can configure to space, such as building level surface, floor, sets
It applies and is configured and the configuration of problem severity (such as damage, failure, field repair problem)；Whether personnel cover
Position, how is coverage effect.By the setting of the above rule, marking foundation is formed.
5) supervision of event can also further be given a mark by Internet of Things supervision or the supervision of superintendent.
Claims (9)
1. a kind of intelligent control management method of responsibility assessment, includes the following steps:
Step 1: being defined according to responsibility schedules item and working regulation, acquire relevant working regulation data item by item, while from Internet of Things
Phase data is obtained in network interface (15)；
Step 2: the data obtained from interface of internet of things (15) include: time, place, facility ID, facility failure data, facility report
Alert data, alert process phase data, consequence data, associated monitoring and identification content, related recording and identification content etc.；
Step 3: judging whether internet of things data needs manually to verify, if desired, then by artificial field verification data, carry out object
Effective amendment of networking data；
Step 4: if above data is submitted in stages period, by one and more, follow-up work (is such as supervised at the appointed time
Pipe task) approval, can build consensus data
Step 5: if common recognition is once wrong, can apply knowing together again, after knowing together again, re-form common recognition data；
Step 6: if the stipulated time has been already expired, directly forming the common recognition data whether work is completed；
Step 7: being given a mark according to common recognition in conjunction with assessment rule, score, which summarizes, to be generated in assessment database (17)；
Step 8: generating report；
Step 9: terminating.
2. the intelligent control management method of responsibility assessment as described in claim 1, which is characterized in that further include following steps:
From phase data is obtained in people's networking interface (16), the data obtained from people's networking interface (16) include: time, place, facility
ID, patrol related account, scene evidence taking content (photo or video or audio), cell phone application automatic identification content；Mobile phone RFID,
Backlog such as reports for repairment at the items.
3. the intelligent control management method of responsibility assessment as claimed in claim 1 or 2, which is characterized in that further include that responsibility mentions
Awake step:
Step 1: the pre-set time reminded is needed according to Rule；
Step 2: if pre-set time does not arrive, being shown: being completed by different colours and high responsibility schedules of knowing together；The duty completed
Appoint inventory；The responsibility schedules not started；
Step 3: pre-set time arrives, then directly pops up corresponding responsibility schedules item and working regulation requirement；
Step 4: clicking working regulation, directly submitted by content requirement, oneself correlation can be obtained from people's networking or Internet of Things
Data；
Step 5: terminating.
4. the intelligent control management method of responsibility assessment as claimed in claim 1 or 2, which is characterized in that further include that responsibility chases after
Study carefully step:
Step 1: the relevant classification of selection responsibility can be hierarchical categories；
Step 2: being selected from the responsibility schedules item listed one or more；
Step 3: retrieving post collection involved in corresponding responsibility inventory item；
Step 4: being concentrated from corresponding post list corresponding personnel and marking situation again；
Step 5: the commencement date and deadline of choice phase, the case where listing human assessment from low to high, and deduction of points content；
Step 6: generating responsibility investigation report；
Step 7: terminating.
5. a kind of intelligent control management system of responsibility assessment, including regular repository (11), common recognition process module (12), management
Hierarchical configuration table (13), job responsibility inventory allocation list (14), interface of internet of things (15), assessment database (17), feature exists
In:
The rule repository (11) provides in conjunction with management level allocation list (13) according to job responsibility inventory allocation list (14)
Working regulation, room and time gives a mark definition to tissue, post, personnel according to the data of interface of internet of things (15)；
The common recognition process module (12), forms the common recognition of responsibility, and the procedure for responsibility is assessed；
The interface of internet of things (15) acquires Internet of Things information, comprising: time, place, facility ID, facility failure data, facility
Alert data, alert process phase data, consequence data, associated monitoring and identification content, related recording and identification content etc.；
The assessment database (17), for saving assessment result.
6. the intelligent control management system of responsibility assessment as claimed in claim 5, it is characterised in that: further include people's networking interface
(16), people's networking interface (16) acquires people's networked information, comprising: time, place, facility ID, patrol related account, scene
Evidence obtaining content (photo or video or audio), cell phone application automatic identification content；Mobile phone RFID, backlog such as report for repairment at the items.
7. a kind of responsibility appraisal procedure of Internet of Things information driving, includes the following steps:
Step 1: from interface of internet of things (15) timing acquisition data, comprising: the time；Place；Facility ID；Facility failure data are set
Apply alert data, alert process phase data, consequence data, associated monitoring and identification content (related recognition of face content, correlation
Activity recognition content), related recording and identification content etc.；
Judge whether that having a responsibility for event needs to start, and needs, goes to step 2, otherwise repeatedly step 1；
Step 2: obtaining the working regulation of corresponding data from job responsibility inventory configuration (14), obtain corresponding personnel and corresponding duty
Appoint assessment content；
Step 3: starting working regulation, and timing obtains data from interface of internet of things (15), whether validation task is completed, completion
Whether in place situation presses data；
Step 4: the timing node of verifying assessment database continues to execute step 3 if timing node is less than；If the time
Node has arrived, then goes to step 5；
Step 5: giving a mark by assessment rule, score, which summarizes, to be generated in assessment database (17).
8. a kind of intelligent responsibility appraisal procedure of Internet of Things, it is characterised in that: have deep learning packet (18), including walk as follows
It is rapid:
Step 1: summarizing all related internet of things data, people's networking data；
Step 2: according to deep learning packet (18), the intelligent evaluation of responsibility is obtained by intelligence computation；
Step 3: intelligent evaluation realize score generation, and carry out score summarize be generated to assessment database (17) in.
9. the intelligent responsibility appraisal procedure of Internet of Things according to claims 1-8, it is characterised in that: also have the storage of block chain
(19), that is, after reaching common understanding, block can be generated and broadcast or directed acyclic graph mode stores, message mechanism is authenticated with mask
Realization processing.
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| CN201910016122.2A CN109740771A (en) | 2019-01-08 | 2019-01-08 | A kind of intelligent control management system and method for responsibility assessment |
| PCT/CN2019/071552 WO2020143067A1 (en) | 2019-01-08 | 2019-01-14 | Responsibility assessment smart control management system and method |
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| CN112653245A (en) * | 2020-12-25 | 2021-04-13 | 江苏锦记智能电气科技有限公司 | Active filter safety early warning management system |
| CN113592234A (en) * | 2021-06-30 | 2021-11-02 | 赛飞特工程技术集团有限公司 | Big data based safety production subject responsibility implementation evaluation system and method |
| CN114257574A (en) * | 2021-12-03 | 2022-03-29 | 浙江责联科技有限公司 | Method and system for generating responsibility networking protocol based on Internet of things message protocol |
| CN114257574B (en) * | 2021-12-03 | 2024-05-28 | 浙江责联科技有限公司 | Method and system for generating responsibility networking protocol based on internet of things message protocol |
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