CN117933945B - Special equipment witness certificate review method and system based on big data - Google Patents
Special equipment witness certificate review method and system based on big data Download PDFInfo
- Publication number
- CN117933945B CN117933945B CN202410307531.9A CN202410307531A CN117933945B CN 117933945 B CN117933945 B CN 117933945B CN 202410307531 A CN202410307531 A CN 202410307531A CN 117933945 B CN117933945 B CN 117933945B
- Authority
- CN
- China
- Prior art keywords
- information
- review
- equipment
- certificate
- special equipment
- 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.)
- Active
Links
- 238000012552 review Methods 0.000 title claims abstract description 151
- 238000000034 method Methods 0.000 title claims abstract description 44
- 230000010365 information processing Effects 0.000 claims abstract description 17
- 238000012423 maintenance Methods 0.000 claims abstract description 17
- 238000012553 document review Methods 0.000 claims abstract description 4
- 230000008569 process Effects 0.000 claims description 16
- 238000007689 inspection Methods 0.000 claims description 8
- 230000036541 health Effects 0.000 claims description 5
- 238000004519 manufacturing process Methods 0.000 claims description 3
- 230000000737 periodic effect Effects 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 238000012216 screening Methods 0.000 claims description 3
- 238000012549 training Methods 0.000 claims description 3
- 230000006399 behavior Effects 0.000 description 4
- 238000012544 monitoring process Methods 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Human Resources & Organizations (AREA)
- Tourism & Hospitality (AREA)
- Economics (AREA)
- Theoretical Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Educational Administration (AREA)
- Primary Health Care (AREA)
- Development Economics (AREA)
- General Health & Medical Sciences (AREA)
- Data Mining & Analysis (AREA)
- Health & Medical Sciences (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a certificate review method and system for a special equipment certificate holder based on big data, wherein the method comprises the following steps: information pre-generation: the information pre-generation module is used for inputting information of the existing equipment and operators; and (3) recording operation information: before the operation, recording information including operation time, units where equipment is located, operation content and operator information; information auditing: the information uploaded under the site discovery condition is subjected to punishment decision on related units and individuals through an information auditing module and is informed by a system; establishing equipment files in a grading manner according to a using unit or a maintenance unit, equipment types and equipment models, and establishing special equipment witness files; and (3) information processing: calling the information required for review from the operator file to generate a review information file; and (5) document review: the certificate review module carries out certificate review, and then the review result is confirmed manually to generate review decision. And a powerful data support is provided for certificate review of special job witness.
Description
Technical Field
The invention belongs to the technical field of special equipment supervision, and particularly relates to a certificate review method and system for special equipment witness based on big data.
Background
According to the specification of the ' special equipment operator assessment rules ' (TSG Z6001-2019) ', the special equipment operator applies for review and needs to meet the related requirements. First, during the duration of the evidence, no illegal operation and no liability accident occur. Secondly, during the certificate holding period, the operation time of the certificate holding project in the application records of the special equipment safety management and the operation personnel certificate is continuously interrupted for not more than 1 year. However, at present, no good management platform exists for the operation state of the operators, and good monitoring for the relevant conditions of the operation of the operators cannot be achieved. Therefore, the certificate review work of the witness of the special equipment is difficult to develop, and the review effect cannot be displayed.
The review method adopted in the industry at present is as follows: when the issuing authority accepts the review of the special equipment witness, whether the requirements are met or not is described according to the personal statement submitted by the applicant and the employment record on the operation certificate and the employment of the unit official seal.
The review method cannot accurately, truly and effectively monitor the practical conditions of operators, and cannot truly realize the supervision. The related special equipment of the accident can not comprehensively trace the historical operating condition of the operator, and is not beneficial to the complete analysis of the accident cause. The operation data of operators cannot be provided for constructing an accident model and predicting accidents. In addition, the actual operation state of the operator cannot be known, so that related departments cannot effectively manage the operator and special equipment, and great uncertainty is caused to the life safety of the operator and personnel around the operator. Therefore, a certificate review method and system for the certificate of the special equipment carrier is urgently needed, the operation certificate review efficiency of operators is improved, and the management of the special equipment is enhanced.
Disclosure of Invention
Aiming at the defects or improvement demands of the prior art, the invention provides a certificate review method and a certificate review system for a special equipment witness based on big data, which are used for establishing a dynamic management system for the special equipment witness by using the big data, generating a special equipment witness file, dynamically managing the working condition of the witness, providing complete data of operators for constructing an accident model and predicting the accident, comprehensively tracing the historical operating condition of the operators of the special equipment related to the accident, facilitating the complete analysis of the reasons of the accident, accurately, truly and effectively supervising the practical conditions of the operators, and providing powerful data support and objective intelligent analysis for the certificate review of the special equipment witness.
According to a first aspect of the embodiment of the invention, a certificate review method for a special equipment witness based on big data is provided, which comprises the following steps:
S100, the information pre-generation module inputs information of the existing equipment and operators, confirms that the information is correct and stores the information in the information storage module;
S200, using an information input module to input information including operation time, units where equipment is located, operation content and operator information before operation, and inputting operation standard conditions including operation violations, safety accidents and major potential safety hazards during operation, and storing the operation standard conditions into an information storage module;
S300, information uploaded under the site discovery condition is judged by an information auditing module, and then punishment decisions are made on related units and individuals and are informed by a system;
S400, the information storage module collects and stores information uploaded by the information pre-generation module, the information input module and the information auditing module, establishes equipment files in a grading manner according to a using unit or a maintenance unit, equipment types and equipment models, and establishes special equipment witness files;
S500, after an operator initiates a review request, the information processing module calls out an operator file from the information storage module, and calls information required by review to generate a review information file;
S600, carrying out certificate review on the review information file generated by the information processing module and the review material uploaded by the operator by the certificate review module, and then generating a review decision after manually confirming the review result.
Further, the step S600 is specifically:
S601, judging whether an operator operation certificate is in an effective period according to operator operation certificate information provided in the review information file;
s602, judging whether the interruption time of the worker for operating or maintaining the special equipment is not more than one year according to the operation information provided in the review information file;
S603, judging whether illegal operation, major safety accidents and major potential safety hazards do not occur in the work of operating or maintaining special equipment by an operator according to the operation information provided in the review information file;
S604, judging whether the identity document of the operator and the periodic physical examination report are in a limited period or not according to the personal identity information provided in the review information document.
Further, in the steps S601 to S604:
and if yes, the operation certificate passes the review, and if at least one item of No appears, the review is not passed.
Further, when the review in the step S600 fails, the method further includes:
S605, submitting a secondary review request in the system by an operator, repeating the operations in the steps S601-S604 for secondary review on the review information file by a person, judging whether the review passes again, and outputting the secondary review decision to a person applying for review and a certificate holder library of a special equipment safety inspection management system and a national special equipment public information inquiry platform.
Further, the existing equipment in the step S100 includes equipment model, equipment number, equipment parameters, manufacturing unit information, equipment service life, operation record, update reconstruction record, accident record, maintenance record and detection report;
The operator information is basic information of a special equipment witness, and comprises original application materials, working experience, safety accident records and health examination records of operators.
Further, the original application material comprises an application form, an identification document, a training certificate and operation certificate information;
The working experience is the time of working on special equipment for operators, the relevant units of working and the certification document;
the safety accident record is a violation operation and a liability accident caused during the working of the special equipment by the operator.
Further, the data obtained in steps S100 to S300 are all recorded in the information storage module.
Further, the system automatically judges the validity period time of personal information including the identification document of the special equipment bearer according to the stored information, and timely reminds the special equipment bearer to finish information updating autonomously.
Further, the information entered in step S200 is all operation site entry.
According to another aspect of the embodiment of the invention, there is provided a certificate review system for a special device witness based on big data, including:
The information pre-generation module is used for inputting the existing information including equipment information and operator information;
the information input module is used for inputting various information generated by special equipment operators in the operation process, including front information input, process information input and result information input;
The information auditing module is used for discovering illegal actions including inconsistent information of operators and special equipment witness, major potential safety hazards of the special equipment and lie report of the safety accident conceal in the maintenance or supervision process of the city or district, uploading the illegal actions to the system through the module, and carrying out punishment decision on corresponding units and individuals according to relevant regulations after the system auditing is finished;
The information storage module is used for collecting and storing the information uploaded by the information pre-generation module, the information input module and the information auditing module, intensively storing all the information into the system, and simultaneously establishing equipment files according to the classification of the using units or the maintenance units, the equipment types and the equipment models and establishing special equipment license holder files;
the information processing module is used for processing the information recorded in the information storage module, calling out the record of the witness of the special equipment, screening the information required by the review according to the review requirement, and forming a review information file for output for later use;
and the certificate review module is used for reviewing the certificates of the special operation witness according to the review information files integrally output by the information processing module and the review materials uploaded by the special operation witness.
In general, the above technical solutions conceived by the present invention, compared with the prior art, enable the following beneficial effects to be obtained:
1. the certificate review system for the special equipment witness based on the big data utilizes the big data to establish a dynamic management system for the special equipment witness, generates a special equipment witness file, dynamically manages the practical situation of the witness, provides complete data of operators for constructing an accident model and predicting the accident, comprehensively traces the historical operating situation of the operators of the special equipment related to the accident, is convenient for completely analyzing the cause of the accident, accurately, truly and effectively monitors the practical situation of the operators, and provides powerful data support for certificate review of the special operation witness and objective intelligent analysis.
2. According to the certificate review method for the special equipment witness based on the big data, the operation condition is registered in time in the operation process, so that the situation that the corresponding responsible person is forgotten to record after an accident is processed, or the operation certificate review is not legal due to conceal lie report of related units and individuals in the review process is prevented, the daily operation condition is further brought into the review, the supervision function is realized on the daily operation behavior specification of the operator, and the situations of slow and dangerous operation of the operator in the operation are avoided.
3. According to the special equipment witness certificate review system based on big data, the complaint entrance is arranged in the certificate review module, the special operation witness is inconsistent with the review result, and a secondary review request or complaint is initiated through the complaint entrance, so that infringement of legal rights and interests of the special operation witness is prevented from being caused by misjudgment, and reasonability of the special operation witness certificate review is ensured.
Drawings
FIG. 1 is a schematic flow chart of a certificate review method of a special equipment certificate holder based on big data in an embodiment of the invention;
FIG. 2 is a schematic diagram of specific steps of a certificate review method for a certificate holder of special equipment based on big data according to an embodiment of the invention;
fig. 3 is a flowchart of step S600 of a method for reviewing certificates of witness staff of special equipment based on big data in an embodiment of the invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention. In addition, the technical features of the embodiments of the present invention described below may be combined with each other as long as they do not collide with each other.
As shown in fig. 1, according to a first aspect of the embodiment of the present invention, a certificate review system for a special device with a certificate holder based on big data is provided, which includes an information pre-generating module, an information input module, an information review module, an information storage module, an information processing module, and a certificate review module. The dynamic management system of the special equipment witness is established by utilizing the big data, the special equipment witness file is generated, the working condition of the witness is dynamically managed, the complete data of the operator is provided for constructing an accident model and predicting the accident, the historical operation condition of the accident-related special equipment operator is comprehensively traced, the reason of the accident is conveniently and completely analyzed, the practical condition of the operator is accurately, truly and effectively monitored, and powerful data support and objective intelligent analysis are provided for certificate review of the special operation witness.
The information pre-generation module is used for inputting existing information including equipment information and operator information. The equipment information comprises equipment model numbers, equipment parameters, manufacturing unit information, equipment service life, operation records, update transformation records, accident records, maintenance records and detection reports. The operator information is basic information of a special equipment witness, and comprises original application materials, working experience, safety accident records and health examination records of operators. The original application material comprises an application form, an identification document, a training certificate and operation certificate information. The work experience is the time the worker is engaged in the special equipment work, the relevant units engaged in, and the documentation. The safety accident records are illegal operations and liability accidents caused during the working of the operators in the special equipment, and comprise accident occurrence time, equipment units, equipment models, equipment numbers, accident properties and liability identification reports. The health physical examination record is a regular health physical examination report of a special equipment witness.
The equipment information and the worker information are existing information before the system is used, wherein the equipment information is recorded by a using unit or a maintenance unit, and the worker information is recorded by the using unit or the maintenance unit and a witness. After the information is input, accessing a comprehensive information service platform of the special equipment to carry out secondary comparison of equipment information, accessing a license holder library of a security monitoring management system of the special equipment to carry out secondary comparison of the information of the license holder, and storing the information comparison into the information storage module without errors.
The information input module inputs various information generated by special equipment operators in the operation process, including front information input, process information input and result information input. The pre-information is recorded as job related information including job time, units where equipment is located, job content and job personnel information. The process information is input into an operation condition when an operator performs equipment operation, wherein the operation condition is whether the operator has illegal behaviors, whether safety accidents occur or not, and whether major potential safety hazards occur in the operation process or not. The result information is recorded as a work result caused by the operation of operators, and the work result is an operation standard condition, an accident occurrence condition and an accident handling condition. The front information input is self-input before operation by an operator, and the process information input and the result information input are input by a user unit or a maintenance unit related management lead in the daily inspection process. The method has the advantages that the operation conditions are registered in time in the operation process, the situation that corresponding responsible personnel are forgotten to record after an accident is processed, or conceal lie report occurs to related units and individuals when review occurs, so that the operation evidence review is not fair is prevented, meanwhile, the daily operation conditions are brought into the review, the supervision function is played for the daily operation behavior specification of operators, and the situations of slow and dangerous operation of the operators in the operation are avoided.
The information auditing module discovers illegal actions including that an operator is inconsistent with information of a special device with a witness, the special device has a great potential safety hazard and the security accident conceal is reported in a security maintenance or monitoring process for a city bureau or a district bureau, and the illegal actions are uploaded to the system through the module, punishment decision is made for corresponding units and individuals according to relevant regulations after the system auditing is finished, the system informs, and punishment information is bound with credentials.
The information storage module collects and stores the information uploaded by the information pre-generation module, the information input module and the information auditing module, and stores all the information into the system in a centralized manner, and establishes equipment files according to the classification of the using units or the maintenance units, the equipment types and the equipment models and establishes special equipment license holder files. The device files and the special device witness files are in information intercommunication and are in a cross relation, so that related information can be conveniently inquired from the two files respectively. The information storage module also records the related information of the certificate holder library of the special equipment safety supervision and inspection management system and the national special equipment public information inquiry platform, so that the related information of the special equipment certificate holder including the certificate validity period can be inquired conveniently.
The information processing module is used for processing the information recorded in the information storage module, calling out the record of the special equipment witness, completing the information processing including sending out a review reminding notice according to the review time, receiving the review reservation of the special equipment witness and screening the information required by the review according to the review requirement, wherein the information required by the review is screened according to the review requirement, and then the information is further formed into a review information file for output for later use. And submitting a review application form of the special equipment operator when the review reservation of the special equipment operator is reserved, wherein the review application form is synchronously stored in the review information file.
Preferably, the information processing module automatically judges the validity period time of personal information including the identification document of the special equipment bearer according to the information stored in the system, and timely reminds the special equipment bearer to automatically complete information updating, so as to prevent the condition that the operation certificate is not qualified due to information problems.
The certificate review module is used for reviewing certificates of the special operation witness according to review information files integrally output by the information processing module and review materials uploaded by the special operation witness, and meanwhile, a review decision is generated after a review result is confirmed again manually and is output to a person applying for review and a special equipment safety supervision and inspection management system witness library and a national special equipment public information inquiry platform. The review material includes, but is not limited to, up-to-date physical examination reports, personal commitments. And a complaint entrance is arranged in the certificate review module, a special operation witness is inconsistent with the review result, and a secondary review request or complaint is initiated through the complaint entrance, so that the infringement of the legal rights of the special operation witness by misjudgment is prevented, and the reasonability of the certificate review of the special operation witness is ensured.
As shown in fig. 2, according to a second aspect of the embodiment of the present invention, there is provided a certificate review method for a special device witness based on big data, including the steps of:
S100, information pre-generation: the information pre-generation module is used for inputting the information of the existing equipment and operators, accessing the comprehensive information service platform of the special equipment and the witness library of the safety supervision and management system of the special equipment respectively to carry out secondary comparison of the equipment information and the witness information, confirming that the information is correct and storing the information in the information storage module;
S200, job information input: the information input module is utilized to input information comprising operation time, units where equipment is located, operation content and operator information before operation, and operation standard conditions comprising operation violations, safety accidents and major safety hazards are input in the operation process and stored in the information storage module;
s300, information auditing: according to the information uploaded by the urban office or regional office in the maintenance or monitoring process, the information uploaded by the condition is found on site, punishment decision is made on related units and individuals and informed by a system after the illegal behaviors, the safety accidents and the major potential safety hazards are judged through an information auditing module, and the punishment information is bound with the certificate;
s400, information archiving: the information storage module collects and stores information uploaded by the information pre-generation module, the information input module and the information auditing module, establishes equipment files in a grading manner according to a using unit or a maintenance unit, equipment types and equipment models, and establishes special equipment witness files;
S500, information processing: after an operator initiates a review request, the information processing module calls out an operator file from the information storage module, and invokes information required for review to generate a review information file;
S600, document review: and (3) carrying out certificate review on the review information file generated by the information processing module and the review material uploaded by the operator by the certificate review module, and then generating review decision after manually confirming the review result and outputting the review decision to a certificate holder library of a personal and special equipment safety supervision and inspection management system and a national special equipment public information inquiry platform.
As shown in fig. 3, the step S600 specifically includes:
S601, checking operation certificate: judging whether the operation certificate of the operator is in the valid period according to the operation certificate information of the operator provided in the review information file;
S602, checking working information: judging whether the interruption time of the worker for operating or maintaining the special equipment is not more than one year according to the operation information provided in the review information file;
s603, operation auditing: judging whether illegal operation, major safety accidents and major potential safety hazards do not occur in the work of operating or maintaining special equipment by an operator according to the operation information provided in the review information file;
S604, identity verification: and judging whether the operator identification document and the periodic physical examination report are in a limited period or not according to the personal identification information provided in the review information document.
In the step S600, when all of steps S601 to S604 satisfy yes, the operation certificate is reviewed to pass, and when at least one no appears, the review is not passed.
When the review fails, the step S600 further includes:
S605, submitting a secondary review request in the system by an operator, repeating the operations in the steps S601-S604 for secondary review on the review information file by a person, judging whether the review passes again, and outputting the secondary review decision to a person applying for review and a certificate holder library of a special equipment safety inspection management system and a national special equipment public information inquiry platform.
It will be readily appreciated by those skilled in the art that the foregoing description is merely a preferred embodiment of the invention and is not intended to limit the invention, but any modifications, equivalents, improvements or alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (10)
1. The certificate review method for the special equipment witness based on the big data is characterized by comprising the following steps of:
S100, the information pre-generation module inputs information of the existing equipment and operators, confirms that the information is correct and stores the information in the information storage module;
S200, using an information input module to input information including operation time, units where equipment is located, operation content and operator information before operation, and inputting operation standard conditions including operation violations, safety accidents and major potential safety hazards during operation, and storing the operation standard conditions into an information storage module;
S300, information uploaded under the site discovery condition is judged by an information auditing module, and then punishment decisions are made on related units and individuals and are informed by a system;
S400, the information storage module collects and stores information uploaded by the information pre-generation module, the information input module and the information auditing module, establishes equipment files in a grading manner according to a using unit or a maintenance unit, equipment types and equipment models, and establishes special equipment witness files;
S500, after an operator initiates a review request, the information processing module calls out an operator file from the information storage module, and calls information required by review to generate a review information file;
S600, carrying out certificate review on the review information file generated by the information processing module and the review material uploaded by the operator by the certificate review module, and then generating a review decision after manually confirming the review result.
2. The method for reviewing certificate review of a certificate holder of special equipment based on big data as set forth in claim 1, wherein the step S600 is specifically:
S601, judging whether an operator operation certificate is in an effective period according to operator operation certificate information provided in the review information file;
s602, judging whether the interruption time of the worker for operating or maintaining the special equipment is not more than one year according to the operation information provided in the review information file;
S603, judging whether illegal operation, major safety accidents and major potential safety hazards do not occur in the work of operating or maintaining special equipment by an operator according to the operation information provided in the review information file;
S604, judging whether the identity document of the operator and the periodic physical examination report are in a limited period or not according to the personal identity information provided in the review information document.
3. The method for reviewing certificate review of a special equipment witness based on big data as set forth in claim 2, wherein in steps S601-S604:
and if yes, the operation certificate passes the review, and if at least one item of No appears, the review is not passed.
4. The method for reviewing certificate of certificate holder of special equipment based on big data as set forth in claim 3, wherein when the review in step S600 is failed, the method further comprises:
S605, submitting a secondary review request in the system by an operator, repeating the operations in the steps S601-S604 for secondary review on the review information file by a person, judging whether the review passes again, and outputting the secondary review decision to a person applying for review and a certificate holder library of a special equipment safety inspection management system and a national special equipment public information inquiry platform.
5. The method according to any one of claims 1 to 4, wherein the existing equipment in the step S100 includes equipment model number, equipment parameters, manufacturing unit information, equipment service life, operation record, update reconstruction record, accident record, maintenance record, and inspection report;
The operator information is basic information of a special equipment witness, and comprises original application materials, working experience, safety accident records and health examination records of operators.
6. The method for reviewing certificate of special equipment carrier based on big data as set forth in claim 5, wherein said raw application material comprises application form, identification document, training certificate and operation certificate information;
The working experience is the time of working on special equipment for operators, the relevant units of working and the certification document;
the safety accident record is a violation operation and a liability accident caused during the working of the special equipment by the operator.
7. The method for reviewing certificate review of a special equipment witness based on big data according to any one of claims 1 to 4, wherein the data obtained in steps S100 to S300 are all recorded in the information storage module.
8. The method for reviewing certificate of special equipment carrier based on big data according to any one of claims 1-4, wherein the system automatically judges the validity period time of personal information of the special equipment carrier including the identification document according to the stored information, and timely reminds the special equipment carrier of autonomously completing information updating.
9. The method for reviewing certificate review of special equipment witness based on big data according to any one of claims 1-4, wherein the entered information in step S200 is operation site entry.
10. A special equipment witness document review system based on big data, for implementing a special equipment witness document review method based on big data as claimed in any one of claims 1-9, comprising:
The information pre-generation module is used for inputting the existing information including equipment information and operator information;
the information input module is used for inputting various information generated by special equipment operators in the operation process, including front information input, process information input and result information input;
The information auditing module is used for discovering illegal actions including inconsistent information of operators and special equipment witness, major potential safety hazards of the special equipment and lie report of the safety accident conceal in the maintenance or supervision process of the city or district, uploading the illegal actions to the system through the module, and carrying out punishment decision on corresponding units and individuals according to relevant regulations after the system auditing is finished;
The information storage module is used for collecting and storing the information uploaded by the information pre-generation module, the information input module and the information auditing module, intensively storing all the information into the system, and simultaneously establishing equipment files according to the classification of the using units or the maintenance units, the equipment types and the equipment models and establishing special equipment license holder files;
the information processing module is used for processing the information recorded in the information storage module, calling out the record of the witness of the special equipment, screening the information required by the review according to the review requirement, and forming a review information file for output for later use;
and the certificate review module is used for reviewing the certificates of the special operation witness according to the review information files integrally output by the information processing module and the review materials uploaded by the special operation witness.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410307531.9A CN117933945B (en) | 2024-03-18 | 2024-03-18 | Special equipment witness certificate review method and system based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410307531.9A CN117933945B (en) | 2024-03-18 | 2024-03-18 | Special equipment witness certificate review method and system based on big data |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117933945A CN117933945A (en) | 2024-04-26 |
| CN117933945B true CN117933945B (en) | 2024-07-12 |
Family
ID=90766963
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410307531.9A Active CN117933945B (en) | 2024-03-18 | 2024-03-18 | Special equipment witness certificate review method and system based on big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117933945B (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106022046A (en) * | 2016-05-24 | 2016-10-12 | 苏州安至上机电科技有限公司 | Special equipment permitted operation monitoring method |
| CN107689018A (en) * | 2017-09-18 | 2018-02-13 | 四川五八直聘信息技术有限公司 | Building enterprise's staff credentials' management method and system |
Family Cites Families (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7529682B2 (en) * | 2002-12-11 | 2009-05-05 | Medversant Technologies, Llc | Electronic credentials verification and management system |
| KR20040082598A (en) * | 2003-03-19 | 2004-09-30 | 주식회사 에스원 | System and method for managing a information of a laborer using a smart card |
| US8495715B2 (en) * | 2009-02-23 | 2013-07-23 | Oracle International Corporation | Techniques for credential auditing |
| CN108090980A (en) * | 2017-11-13 | 2018-05-29 | 广州市质量发展研究中心 | Special equipment operating personnel's supervisory systems based on internet |
| CN109389360A (en) * | 2018-08-28 | 2019-02-26 | 安徽继远软件有限公司 | A kind of personnel safety management-control method based on multiple authentication manipulation permission |
| US20200349521A1 (en) * | 2019-05-02 | 2020-11-05 | MARCOMM Inc. | System and method for employment data management |
| CN113421063A (en) * | 2021-06-29 | 2021-09-21 | 郎莹 | Mobile terminal road transportation electronic certificate issuing system based on CA technology |
| CN113761852B (en) * | 2021-08-27 | 2023-11-21 | 中国人民解放军海军工程大学 | Army security personnel evidence-holding on-duty data management system, management method and terminal |
| CN114331351A (en) * | 2021-12-27 | 2022-04-12 | 杭州圆规网络科技有限公司 | Method and device for managing certificate data, storage medium and electronic device |
-
2024
- 2024-03-18 CN CN202410307531.9A patent/CN117933945B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106022046A (en) * | 2016-05-24 | 2016-10-12 | 苏州安至上机电科技有限公司 | Special equipment permitted operation monitoring method |
| CN107689018A (en) * | 2017-09-18 | 2018-02-13 | 四川五八直聘信息技术有限公司 | Building enterprise's staff credentials' management method and system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117933945A (en) | 2024-04-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110505102B (en) | Power information communication fusion monitoring and service standardization management platform system and method | |
| CN110329862B (en) | Elevator intelligent integrated management system based on cloud platform | |
| CN111738568A (en) | Artificial intelligence risk management and control system based on scene recognition drive | |
| CN110070307B (en) | Information visualization management system based on WBS | |
| CN111369208A (en) | Intelligent auxiliary case handling system for criminal penalty change execution inspection | |
| Forteza et al. | Organizational factors and specific risks on construction sites | |
| CN112837195B (en) | Block chain-based environment monitoring system and method | |
| CN111461517A (en) | Intelligent information system for planning laboratory workflow | |
| KR20230126300A (en) | System and method for constructing construction site risk assessment model by deriving risk factors based on BIM | |
| CN111507681A (en) | Building engineering integrated management system | |
| KR102438757B1 (en) | Smart Safety Platform | |
| CN109801416A (en) | A kind of total dimension computer lab management method of building together based on big data analysis | |
| CN111178778A (en) | Security activity scheme generation method and system based on machine learning and security activity management system | |
| CN107693997B (en) | Fire fighting equipment detection and maintenance management system and management method | |
| CN116957341A (en) | Intelligent safety risk management and control system based on steel mill | |
| CN117933945B (en) | Special equipment witness certificate review method and system based on big data | |
| CN117876188A (en) | Environment regulation informatization system | |
| CN117541195A (en) | Intelligent management method and system for audit project | |
| CN109840642B (en) | Engineering site laboratory supervision system | |
| CN112233782B (en) | Internet-based medical Wei Jian dynamic linkage system | |
| Bekher et al. | Automation of control processes in the non-destructive testing units | |
| KR101505079B1 (en) | System and method of supporting task of information security | |
| CN113869758A (en) | Intelligent two-ticket management and operation site risk early warning system | |
| CN114529182A (en) | Ecological environment monitoring quality management system | |
| JP2006040194A (en) | Field work management system |
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 | ||
| GR01 | Patent grant |