CN110739082A - occupational health risk management and control measure evaluation method and related device - Google Patents
occupational health risk management and control measure evaluation method and related device Download PDFInfo
- Publication number
- CN110739082A CN110739082A CN201910979019.8A CN201910979019A CN110739082A CN 110739082 A CN110739082 A CN 110739082A CN 201910979019 A CN201910979019 A CN 201910979019A CN 110739082 A CN110739082 A CN 110739082A
- Authority
- CN
- China
- Prior art keywords
- management
- coefficient
- health risk
- control measure
- occupational health
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000011156 evaluation Methods 0.000 title claims abstract description 103
- 230000036541 health Effects 0.000 title claims abstract description 87
- 238000012937 correction Methods 0.000 claims abstract description 46
- 238000000034 method Methods 0.000 claims abstract description 30
- 238000012502 risk assessment Methods 0.000 claims description 17
- 238000004364 calculation method Methods 0.000 claims description 15
- 238000007726 management method Methods 0.000 description 85
- 230000008569 process Effects 0.000 description 5
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 238000013523 data management Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000002955 isolation Methods 0.000 description 1
- 230000000116 mitigating effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000009423 ventilation Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
Landscapes
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Medical Informatics (AREA)
- Public Health (AREA)
- Biomedical Technology (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Pathology (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The application provides occupational health risk management and control measure evaluation methods and related devices, wherein the method comprises the steps of obtaining occupational health risk evaluation values and management and control measure information, wherein the management and control measure information comprises management and control measure engineering type information and predicted cost information, determining correction degree coefficients corresponding to the management and control measure engineering type information through comparison based on the preset corresponding relation between the management and control measure engineering types and the correction degree coefficient values, determining predicted cost coefficients corresponding to the predicted cost information through comparison based on the preset corresponding relation between the predicted cost intervals and the predicted cost coefficient values, and calculating measure evaluation coefficients corresponding to the management and control measure information according to the ratio of the occupational health risk evaluation values to the correction degree coefficients and the predicted cost coefficients.
Description
Technical Field
The application relates to the technical field of data management, in particular to an occupational health risk management and control measure evaluation method and a related device.
Background
With the progress of society and the improvement of legal treatment, the occupational health and working environment safety of the employees are more and more emphasized by the enterprises at present, and occupational health risk assessment becomes an important basis for the enterprises to carry out occupational health work.
Currently, the evaluation method of the occupational health risk management and control measures in the prior art adopts an expert evaluation mode, the evaluation result obtained by the expert evaluation mode is completely the individual subjective judgment of experts, the accuracy of the evaluation result is easily influenced by the expert level, and the technical problem that the evaluation of the occupational health risk management and control measures is not objective is caused.
Disclosure of Invention
The embodiment of the application provides occupational health risk management and control measure evaluation methods and related devices, and the methods and the devices are used for solving the technical problem that the occupational health risk management and control measure evaluation is unobtrusive due to the fact that the existing occupational health risk management and control measure evaluation methods rely on personal subjective judgment of experts.
In view of the above, the application provides a occupational health risk management and control measure assessment method, which includes:
acquiring a occupational health risk assessment value and management and control measure information, wherein the management and control measure information comprises: managing and controlling measure engineering type information and estimated cost information;
determining a correction degree coefficient corresponding to the management and control measure engineering type information through comparison based on a preset corresponding relation between the management and control measure engineering type and the correction degree coefficient value;
determining a predicted cost coefficient corresponding to the predicted cost information through comparison based on a preset corresponding relation between a predicted cost interval and a predicted cost coefficient value;
and calculating to obtain a measure evaluation coefficient corresponding to the management and control measure information according to the ratio of the occupational health risk evaluation value to the correction degree coefficient and the estimated cost coefficient.
Optionally, the calculating, according to the ratio of the occupational health risk assessment value to the correction degree coefficient and the estimated cost coefficient, a measure assessment coefficient corresponding to the management and control measure information specifically includes:
obtaining a measure evaluation coefficient corresponding to the management and control measure information according to the occupational health risk evaluation value, the correction degree coefficient and the estimated cost coefficient through a preset measure evaluation coefficient calculation formula;
wherein, the measure evaluation coefficient calculation formula specifically comprises:
wherein J is the measure evaluation coefficient, R is the occupational health risk evaluation value, M is the estimated cost coefficient, and N is a correction degree coefficient.
Optionally, the occupational health risk assessment value specifically includes: and evaluating the occupational health risk of the mobile station operating personnel or evaluating the safety risk of the fixed-point station working environment.
Optionally, the method further comprises:
and judging whether the measure evaluation coefficient is smaller than the measure evaluation coefficient threshold value, if not, marking the management and control measure information as a qualified scheme, and if so, marking the management and control measure information as an unqualified scheme.
The second aspect of the present application provides an occupational health risk management and control measure evaluation device, including:
the data acquisition unit is used for acquiring the occupational health risk assessment value and management and control measure information, wherein the management and control measure information comprises: managing and controlling measure engineering type information and estimated cost information;
the correction degree determining unit is used for determining a correction degree coefficient corresponding to the management and control measure engineering type information through comparison based on a preset corresponding relation between the management and control measure engineering type and the correction degree coefficient value;
the estimated cost coefficient determining unit is used for determining an estimated cost coefficient corresponding to the estimated cost information through comparison based on a preset estimated cost interval and a corresponding relation of the estimated cost coefficient value;
and the measure evaluation coefficient calculation unit is used for calculating and obtaining a measure evaluation coefficient corresponding to the management and control measure information according to the ratio of the occupational health risk evaluation value to the correction degree coefficient and the estimated cost coefficient.
Optionally, the measure evaluation coefficient calculation unit is specifically configured to:
obtaining a measure evaluation coefficient corresponding to the management and control measure information according to the occupational health risk evaluation value, the correction degree coefficient and the estimated cost coefficient through a preset measure evaluation coefficient calculation formula;
wherein, the measure evaluation coefficient calculation formula specifically comprises:
wherein J is the measure evaluation coefficient, R is the occupational health risk evaluation value, M is the estimated cost coefficient, and N is a correction degree coefficient.
Optionally, the occupational health risk assessment value specifically includes: and evaluating the occupational health risk of the mobile station operating personnel or evaluating the safety risk of the fixed-point station working environment.
Optionally, the method further comprises:
and the management and control measure information classification unit is used for judging whether the measure evaluation coefficient is smaller than the measure evaluation coefficient threshold value, if not, marking the management and control measure information as a qualified scheme, and if so, marking the management and control measure information as an unqualified scheme.
The third aspect of the present application provides kinds of terminals, comprising a processor and a memory;
the memory is used for storing program codes corresponding to the occupational health risk management and control measure evaluation method according to the aspect of the application;
the processor is configured to execute the program code.
A fourth aspect of the present application provides storage media, wherein the storage media stores therein program codes corresponding to the occupational health risk management and control measure assessment method according to the aspect of the present application.
According to the technical scheme, the embodiment of the application has the following advantages:
the application provides occupational health risk management and control measure evaluation methods and related devices, wherein the method comprises the steps of obtaining occupational health risk evaluation values and management and control measure information, determining correction degree coefficients corresponding to the management and control measure engineering type information through comparison based on the preset corresponding relation between the management and control measure engineering type and the correction degree coefficient values, determining prediction cost coefficients corresponding to the prediction cost information through comparison based on the preset corresponding relation between the prediction cost intervals and the prediction cost coefficient values, and calculating the measure evaluation coefficients corresponding to the management and control measure information according to the ratio of the occupational health risk evaluation values to the correction degree coefficients and the prediction cost coefficients.
According to the method and the device, the acquired occupational health risk assessment value and the information of the management and control measures to be assessed are compared based on the information of the management and control measures to obtain the correction degree coefficient and the estimated cost coefficient, and the management and control measures are assessed according to the measure assessment coefficient result calculated according to the ratio of the occupational health risk assessment value to the correction degree coefficient to the estimated cost coefficient, so that the technical problem that the existing occupational health risk management and control measure assessment method of the existing assessment method depends on the current situation of personal subjective judgment of experts, and therefore the occupational health risk management and control measure assessment is not attractive is solved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present application, and other drawings can be obtained by those skilled in the art without inventive exercise.
FIG. 1 is a schematic flowchart of an evaluation method of occupational health risk management and control measures according to an embodiment ;
FIG. 2 is a schematic flowchart illustrating a second embodiment of the occupational health risk management and control measure evaluation method provided by the present application;
fig. 3 is a schematic structural diagram of an occupational health risk management and control measure evaluation device provided by the present application.
Detailed Description
The embodiment of the application provides occupational health risk management and control measure evaluation methods and related devices, and the methods and the devices are used for solving the technical problem that the occupational health risk management and control measure evaluation is unobtrusive due to the fact that the existing occupational health risk management and control measure evaluation methods rely on personal subjective judgment of experts.
In order to make the objects, features and advantages of the present application more obvious and understandable, the embodiments of the present application will be described in detail and completely with reference to the accompanying drawings, it is obvious that the embodiments described below are only some embodiments of , but not all embodiments.
Referring to fig. 1, an embodiment of the present application provides an occupational health risk management and control measure evaluation method, including:
Wherein, management and control measure information includes: management and control measure engineering type information and estimated cost information.
And 102, determining a correction degree coefficient corresponding to the management and control measure engineering type information through comparison based on a preset corresponding relation between the management and control measure engineering type and the correction degree coefficient value.
It should be noted that, according to the type of the management and control measure to be evaluated, the degree of eliminating or mitigating the risk is evaluated, where the corresponding relationship between the management and control measure engineering type and the correction degree coefficient value in this embodiment is shown in table 1:
TABLE 1 correspondence between engineering type of management and control measure and coefficient value of correction degree
Serial number | Engineering type of management and control measures | Coefficient of degree of correction |
1 | Equipment containment or automation | 1 |
2 | Improved process and operation method | 2 |
3 | Ventilation works | 3 |
4 | Individual protection | 4 |
5 | Isolation and remote operation | 5 |
And 103, determining the estimated cost coefficient corresponding to the estimated cost information by comparison based on the preset corresponding relation between the estimated cost interval and the estimated cost coefficient value.
It should be noted that, according to the newly proposed control measure, the cost that may need to be spent is estimated, wherein the corresponding relationship between the predicted cost interval and the predicted cost coefficient value of the embodiment is shown in table 2:
TABLE 6 correspondence between estimated cost interval and estimated cost coefficient value
And step 104, calculating to obtain a measure evaluation coefficient corresponding to the management and control measure information according to the ratio of the occupational health risk evaluation value to the correction degree coefficient and the estimated cost coefficient.
It should be noted that, according to the occupational health risk assessment value, the correction degree coefficient and the estimated cost coefficient, a preset measure assessment coefficient calculation formula is used to obtain a measure assessment coefficient corresponding to the control measure information;
the measure evaluation coefficient calculation formula specifically comprises the following steps:
in the formula, J is a measure evaluation coefficient, R is an occupational health risk evaluation value, M is a predicted cost coefficient, and N is a correction degree coefficient.
After the measure evaluation coefficient is calculated, a technician can perform comprehensive judgment according to the calculation result of the measure evaluation coefficient J to determine whether to adopt the management and control measure.
According to the embodiment of the application, the acquired occupational health risk assessment value and the information of the management and control measures to be assessed are compared based on the information of the management and control measures to obtain the correction degree coefficient and the estimated cost coefficient, and the management and control measures are assessed according to the measure assessment coefficient result calculated according to the ratio of the occupational health risk assessment value to the correction degree coefficient to the estimated cost coefficient, so that the technical problem that the existing occupational health risk management and control measure assessment method of the existing assessment method depends on the current situation of personal subjective judgment of experts, and the occupational health risk management and control measure assessment is not attractive is solved.
The above is a detailed description of embodiments of occupational health risk management and control measures assessment methods provided by the present application, and the following is a detailed description of a second embodiment of occupational health risk management and control measures assessment methods provided by the present application.
Referring to fig. 2, the occupational health risk management and control measure assessment method provided in the embodiment of the present application on the basis of the embodiment further includes:
and 105, judging whether the measure evaluation coefficient is smaller than a measure evaluation coefficient threshold value, if not, marking the management and control measure information as a qualified scheme, and if so, marking the management and control measure information as an unqualified scheme.
It should be noted that, the measure evaluation coefficient threshold value in this embodiment may be freely set according to an actual situation, a value of 10 is preferred in this embodiment, and if the measure evaluation coefficient (J) is greater than or equal to 10, and the expected cost of the management and control measure is appropriate, the management and control measure information may be marked as a qualified scheme;
if the measure evaluation coefficient (J) < 10 and the expected cost of the management and control measure is not appropriate, the management and control measure information can be marked as a disqualified scheme.
The above is a detailed description of the second embodiment of the occupational health risk management and control measure evaluation methods provided by the present application, and the following is a detailed description of the embodiment of the occupational health risk management and control measure evaluation device provided by the present application.
Referring to fig. 3, an embodiment of the present application provides an occupational health risk management and control measure evaluation device, including:
a data obtaining unit 301, configured to obtain a occupational health risk assessment value and management and control measure information, where the management and control measure information includes: managing and controlling measure engineering type information and estimated cost information;
a correction degree determining unit 302, configured to determine, based on a preset correspondence between the management and control measure engineering type and the correction degree coefficient value, a correction degree coefficient corresponding to the management and control measure engineering type information through comparison;
a predicted cost coefficient determining unit 303, configured to determine, based on a preset corresponding relationship between a predicted cost interval and a predicted cost coefficient value, a predicted cost coefficient corresponding to the predicted cost information through comparison;
and the measure evaluation coefficient calculation unit 304 is configured to calculate a measure evaluation coefficient corresponding to the management and control measure information according to a ratio of the occupational health risk evaluation value to the correction degree coefficient and the estimated cost coefficient.
, further comprising:
and the management and control measure information classifying unit 305 is configured to determine whether the measure evaluation coefficient is smaller than a measure evaluation coefficient threshold, if not, mark the management and control measure information as a qualified scheme, and if so, mark the management and control measure information as an unqualified scheme.
The above provides a detailed description of embodiments of occupational health risk management and control measure evaluation devices provided by the present application, and further provides a detailed description of embodiments of terminals and storage media.
The embodiment of the application provides terminals, which comprise a processor and a memory;
the memory is used for storing program codes corresponding to the occupational health risk management and control measure evaluation method according to the aspect of the application;
the processor is used for executing the program codes.
The embodiment of the present application provides storage media, wherein the storage media stores program codes corresponding to the method for assessing occupational health risk management and control measures according to the aspect of the present application.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units into logical functional divisions may be realized in other ways, for example, multiple units or components may be combined or integrated into another systems, or features may be omitted or not executed, in another point, the shown or discussed coupling or direct coupling or communication connection between each other may be through interfaces, indirect coupling or communication connection between units or devices may be electrical, mechanical or other forms.
Furthermore, the terms "comprises" and "comprising," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a series of steps or elements is not necessarily limited to the expressly listed steps or elements, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
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, that is, may be located in places, or may also be distributed on multiple network units.
In addition, the functional units in the embodiments of the present invention may be integrated into processing units, or each unit may exist alone physically, or two or more units are integrated into units.
Based on the understanding, the technical solution of the present invention, which is essentially or partially contributed to by the prior art, or all or part of the technical solution, may be embodied in the form of a software product stored in storage media, which includes several instructions for causing computer devices (which may be personal computers, servers, or network devices) to execute all or part of the steps of the methods according to the embodiments of the present invention.
The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting 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 (10)
1, occupational health risk management and control measure evaluation method, which is characterized by comprising the following steps:
acquiring a occupational health risk assessment value and management and control measure information, wherein the management and control measure information comprises: managing and controlling measure engineering type information and estimated cost information;
determining a correction degree coefficient corresponding to the management and control measure engineering type information through comparison based on a preset corresponding relation between the management and control measure engineering type and the correction degree coefficient value;
determining a predicted cost coefficient corresponding to the predicted cost information through comparison based on a preset corresponding relation between a predicted cost interval and a predicted cost coefficient value;
and calculating to obtain a measure evaluation coefficient corresponding to the management and control measure information according to the ratio of the occupational health risk evaluation value to the correction degree coefficient and the estimated cost coefficient.
2. The occupational health risk management and control measure evaluation method according to claim 1, wherein the step of calculating the measure evaluation coefficient corresponding to the management and control measure information according to the ratio of the occupational health risk evaluation value to the correction degree coefficient and the predicted cost coefficient specifically comprises:
obtaining a measure evaluation coefficient corresponding to the management and control measure information according to the occupational health risk evaluation value, the correction degree coefficient and the estimated cost coefficient through a preset measure evaluation coefficient calculation formula;
wherein, the measure evaluation coefficient calculation formula specifically comprises:
wherein J is the measure evaluation coefficient, R is the occupational health risk evaluation value, M is the estimated cost coefficient, and N is a correction degree coefficient.
3. The occupational health risk management and control measure assessment method according to claim 1, wherein the occupational health risk assessment value specifically comprises: and evaluating the occupational health risk of the mobile station operating personnel or evaluating the safety risk of the fixed-point station working environment.
4. The occupational health risk management and control measure assessment method according to claim 1, further comprising:
and judging whether the measure evaluation coefficient is smaller than the measure evaluation coefficient threshold value, if not, marking the management and control measure information as a qualified scheme, and if so, marking the management and control measure information as an unqualified scheme.
5, kind occupational health risk management and control measure evaluation device, its characterized in that includes:
the data acquisition unit is used for acquiring the occupational health risk assessment value and management and control measure information, wherein the management and control measure information comprises: managing and controlling measure engineering type information and estimated cost information;
the correction degree determining unit is used for determining a correction degree coefficient corresponding to the management and control measure engineering type information through comparison based on a preset corresponding relation between the management and control measure engineering type and the correction degree coefficient value;
the estimated cost coefficient determining unit is used for determining an estimated cost coefficient corresponding to the estimated cost information through comparison based on a preset estimated cost interval and a corresponding relation of the estimated cost coefficient value;
and the measure evaluation coefficient calculation unit is used for calculating and obtaining a measure evaluation coefficient corresponding to the management and control measure information according to the ratio of the occupational health risk evaluation value to the correction degree coefficient and the estimated cost coefficient.
6. The occupational health risk management and control measure evaluation device according to claim 5, wherein the measure evaluation coefficient calculating unit is specifically configured to:
obtaining a measure evaluation coefficient corresponding to the management and control measure information according to the occupational health risk evaluation value, the correction degree coefficient and the estimated cost coefficient through a preset measure evaluation coefficient calculation formula;
wherein, the measure evaluation coefficient calculation formula specifically comprises:
wherein J is the measure evaluation coefficient, R is the occupational health risk evaluation value, M is the estimated cost coefficient, and N is a correction degree coefficient.
7. The occupational health risk management and control measure evaluation device of claim 5, wherein the occupational health risk assessment value specifically comprises: and evaluating the occupational health risk of the mobile station operating personnel or evaluating the safety risk of the fixed-point station working environment.
8. The occupational health risk management and control measure assessment device according to claim 5, further comprising:
and the management and control measure information classification unit is used for judging whether the measure evaluation coefficient is smaller than the measure evaluation coefficient threshold value, if not, marking the management and control measure information as a qualified scheme, and if so, marking the management and control measure information as an unqualified scheme.
The terminal of is characterized in that it comprises a processor and a memory;
the memory is used for storing program codes corresponding to the occupational health risk management and control measure evaluation method according to any one of claims 1 to 4 and ;
the processor is configured to execute the program code.
10, storage media, wherein the storage media stores program codes corresponding to the method for evaluating occupational health risk management and control measures according to any one of claims 1 to 4 and .
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910979019.8A CN110739082A (en) | 2019-10-15 | 2019-10-15 | occupational health risk management and control measure evaluation method and related device |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910979019.8A CN110739082A (en) | 2019-10-15 | 2019-10-15 | occupational health risk management and control measure evaluation method and related device |
Publications (1)
Publication Number | Publication Date |
---|---|
CN110739082A true CN110739082A (en) | 2020-01-31 |
Family
ID=69269005
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910979019.8A Pending CN110739082A (en) | 2019-10-15 | 2019-10-15 | occupational health risk management and control measure evaluation method and related device |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110739082A (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111540472A (en) * | 2020-05-18 | 2020-08-14 | 霓蝶(上海)医疗科技有限公司 | Intelligent risk assessment system and method for health activities |
CN116386878A (en) * | 2023-06-01 | 2023-07-04 | 南京中卫信软件科技股份有限公司 | Processing method and system for professional health intelligent management platform |
-
2019
- 2019-10-15 CN CN201910979019.8A patent/CN110739082A/en active Pending
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111540472A (en) * | 2020-05-18 | 2020-08-14 | 霓蝶(上海)医疗科技有限公司 | Intelligent risk assessment system and method for health activities |
CN116386878A (en) * | 2023-06-01 | 2023-07-04 | 南京中卫信软件科技股份有限公司 | Processing method and system for professional health intelligent management platform |
CN116386878B (en) * | 2023-06-01 | 2023-08-08 | 南京中卫信软件科技股份有限公司 | Processing method and system for professional health intelligent management platform |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN111459778B (en) | Operation and maintenance system abnormal index detection model optimization method, device and storage medium | |
Tong et al. | Statistical testing for assessing the performance of lifetime index of electronic components with exponential distribution | |
CN107301570B (en) | Traffic prediction method, abnormal traffic detection device and electronic equipment | |
CN108269189B (en) | Index data monitoring method and device, storage medium and computer equipment | |
CN110739082A (en) | occupational health risk management and control measure evaluation method and related device | |
CN111626446B (en) | Method, apparatus, device and storage medium for determining device maintenance time | |
JP2019526121A5 (en) | ||
CN110795324B (en) | Data processing method and device | |
US20140019215A1 (en) | System for assessing procedure compliance level of human operators in nuclear power plants and method thereof | |
CN115455735A (en) | Equipment health index calculation method, device, equipment and storage medium | |
CN112380759B (en) | Smart electric meter service life prediction method based on deep learning and CoxPH model | |
CN110738417A (en) | fixed-point operation post work environment security risk assessment method and related equipment | |
CN115878958A (en) | Transformer oil temperature prediction method, device, equipment and storage medium | |
CN106934009B (en) | A kind of application arrangement method, device and calculate equipment | |
CN111797530B (en) | Method, device, equipment and medium for determining weak links of power system | |
CN113934536A (en) | Data acquisition method facing edge calculation | |
CN117009221A (en) | Processing method, device, equipment, storage medium and program product for product test | |
JP6625839B2 (en) | Load actual data determination device, load prediction device, actual load data determination method, and load prediction method | |
CN109059989B (en) | Method, system and equipment for evaluating remaining life of instrument | |
CN112949951A (en) | Data prediction method, data prediction device, electronic equipment and storage medium | |
CN108269004B (en) | Product life analysis method and terminal equipment | |
CN109146092B (en) | Single machine system maintenance method and device | |
JP2021057650A (en) | Server, radio communication system, and control method | |
CN113837435B (en) | Power load estimation method and device and terminal equipment | |
CN115494792B (en) | Part processing parameter compensation method and device, electronic equipment and readable storage medium |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200131 |
|
RJ01 | Rejection of invention patent application after publication |