CN114386789A - Supervision system and method based on intelligent manufacturing diagnosis and evaluation - Google Patents
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Abstract
The invention relates to a supervision system and a method based on intelligent manufacturing diagnosis and evaluation, which are characterized in that a diagnosis schedule of a diagnosis service mechanism is set, the diagnosis schedule is sent to a diagnosis expert and a diagnosis unit, in the diagnosis and evaluation process, deliverables of all nodes in the diagnosis and evaluation process are collected, the diagnosis progress of a single diagnosis unit and the total service progress of the diagnosis service mechanism to all the diagnosis units are displayed, after the diagnosis of the diagnosis service mechanism is finished, the diagnosis and evaluation of the diagnosis service mechanism by all the diagnosis units are obtained, and a supervision report is generated according to the diagnosis and evaluation; the technical problems that in the prior art, different diagnosis mechanisms have different diagnosis steps and diagnosis rhythms, not only the whole diagnosis service progress is not well controlled, but also the service quality cannot be effectively controlled are solved, and all diagnosis service mechanisms can be effectively supervised to obtain a high-quality diagnosis service mechanism with better service quality.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a supervision system and a supervision method based on intelligent manufacturing diagnosis and evaluation.
Background
Intelligent manufacturing is a high-level modality of the deep integration of new generation information technology and manufacturing industry.
The enterprise intelligent capacity level is comprehensively evaluated in multiple dimensions and multiple levels from purchasing, production and manufacturing, product quality, equipment operation, environmental safety, operation analysis, sale, after-sale and the like, a feasible diagnosis report is provided, and a good foundation is laid for comprehensively promoting the development of the intelligent manufacturing industry.
With the purchase of intelligent manufacturing diagnosis service items of industrial enterprises by governments of various parts, the intelligent manufacturing level of the industrial enterprises is improved, but how to effectively supervise whether the purchased diagnosis service is finished in high quality by government institutions and whether the service enterprises are satisfied with the diagnosis service institutions needs to supervise by making an effective evaluation method.
However, at present, the intelligent manufacturing diagnosis process usually adopts the process management in each diagnosis service mechanism, such as the diagnosis experts residing in the industrial enterprise, the project starting, the interview of each business department, the intelligent level assessment of the production line, and the like, because the diagnosis steps and the diagnosis rhythms of different diagnosis mechanisms are not uniform, not only the progress of the diagnosis service is not well controlled integrally, but also the service quality is not effectively controlled.
Disclosure of Invention
In view of the foregoing, there is a need to provide a supervision system and method based on intelligent manufacturing diagnosis evaluation, which can perform unified supervision and evaluation on diagnosis service organizations.
An embodiment of the present invention provides a supervision system based on intelligent manufacturing diagnosis and evaluation, including: the system comprises a system information module, a user login module, a database module, a scheduling planning module, a progress calculation module, a pushing module, a delivered object display module, a progress display module, an evaluation module and a summary module;
the system information module is used for acquiring the user information of all roles in the diagnosis unit, the diagnosis service organization, the government organization, the diagnosis expert and the diagnosis evaluation project related in the diagnosis evaluation process and the basic data related in the diagnosis evaluation process, and storing the user information in the database module; the user information at least comprises account information and authority information;
the user login module is used for acquiring account information of a current login account, verifying whether the account information is legal or matched, and entering a corresponding module of the system according to the authority information of the current login personnel;
the scheduling plan module is used for generating a diagnosis scheduling plan according to diagnosis experts and diagnosis units and storing the diagnosis scheduling plan in the database module, wherein the diagnosis scheduling plan comprises a diagnosis subject, time and place;
the progress calculation module is used for calculating the diagnosis service progress of a diagnosis unit and storing the service progress in the database module;
the pushing module is used for pushing the diagnosis scheduling plan to a diagnosis expert and a diagnosis unit;
the delivered object display module is used for displaying delivered objects output in the diagnosis process;
the progress display module is used for displaying the diagnosis progress of a single diagnosis unit and the total diagnosis progress of all diagnosis units of the diagnosis service mechanism;
the evaluation module is used for executing the diagnosis evaluation of the diagnosis service mechanism by the diagnosis unit;
and the summary module is used for generating a supervision report aiming at the diagnosis service mechanism so as to display the service quality of the diagnosis service mechanism.
In one embodiment, the diagnostic assessment process includes scheduling, startup meeting, training, field research interview, last meeting, high level reporting, reporting 7 nodes.
In one embodiment, in the diagnostic evaluation process, the percentage of progress of the start meeting nodes is 20%, the percentage of training nodes is 10%, the percentage of field investigation interview nodes is 20%, the percentage of last meeting nodes is 20%, the percentage of high-level report nodes is 10%, and the percentage of report nodes is 20%.
In one embodiment, the diagnostic evaluation items of the diagnostic unit to the diagnostic service include: diagnostic item completion, report expertise, and satisfaction.
In one embodiment, the audit report includes: the number of service diagnostic units, the evaluation of diagnostic units, the score of the diagnostic service.
In one embodiment, the scheduling planning module comprises: the system comprises a diagnosis unit determining unit, a diagnosis expert determining unit, a diagnosis node setting unit, a diagnosis expert distributing unit and a scheduling plan determining unit;
the diagnostic unit determining unit is used for determining a diagnostic unit list;
the diagnostic expert determining unit is used for determining a diagnostic expert list;
the diagnosis node setting unit is used for setting a diagnosis node;
the diagnostic expert distribution unit is used for distributing a diagnostic schedule plan of the diagnostic expert according to the diagnostic node and the diagnostic expert list;
the scheduling plan determining unit is used for determining a diagnosis scheduling plan.
In one embodiment, the deliverable comprises: paper materials, attendance check-in lists and conference photos.
In one embodiment, the database module employs a local database or a remote database.
Another embodiment of the present invention provides a supervision method based on intelligent manufacturing diagnosis and evaluation, including:
setting a diagnosis scheduling plan of a diagnosis service mechanism, and sending the diagnosis scheduling plan to a diagnosis expert and a diagnosis unit;
in the diagnosis and evaluation process, collecting deliveries of each node in the diagnosis and evaluation process, and displaying the diagnosis progress of a single diagnosis unit and the total service progress of a diagnosis service mechanism to all diagnosis units;
after the diagnosis of the diagnosis service mechanism is finished, the diagnosis evaluation of each diagnosis unit on the diagnosis service mechanism is obtained;
generating a supervision report according to the diagnosis evaluation;
wherein the diagnostic staging plan comprises: diagnosis subject, time and place; the audit report includes: the number of service diagnostic units, the evaluation of diagnostic units, the score of the diagnostic service.
In one embodiment, the setting of the diagnosis scheduling plan of the diagnosis service comprises:
establishing a diagnosis unit list;
setting a diagnosis expert list;
setting a diagnosis node scheduling plan;
allocating a scheduling plan of diagnosis treatment and diagnosis nodes of a diagnosis expert;
and if the expert scheduling time does not conflict, generating a diagnosis scheduling plan.
In summary, the supervision system and method based on intelligent manufacturing diagnosis and evaluation provided by the invention comprises the following steps: the system comprises a system information module, a user login module, a database module, a scheduling planning module, a progress calculation module, a pushing module, a delivered object display module, a progress display module, an evaluation module and a summary module; the system information module is used for acquiring the user information of all roles in the diagnosis unit, the diagnosis service organization, the government organization, the diagnosis expert and the diagnosis evaluation project related in the diagnosis evaluation process and the basic data related in the diagnosis evaluation process, and storing the user information in the database module; the user information at least comprises account information and authority information; the user login module is used for acquiring the account information of the current login account, verifying whether the account information is legal or matched, and entering a corresponding module of the system according to the authority information of the current login personnel; the scheduling plan module is used for generating a diagnosis scheduling plan according to the diagnosis experts and the diagnosis units and storing the diagnosis scheduling plan in the database module, wherein the diagnosis scheduling plan comprises a diagnosis subject, time and place; the progress calculation module is used for calculating the diagnosis service progress of a diagnosis unit and storing the service progress in the database module; the pushing module is used for pushing the diagnosis scheduling plan to a diagnosis expert and a diagnosis unit; the delivered object display module is used for displaying delivered objects output in the diagnosis process; the progress display module is used for displaying the diagnosis progress of a single diagnosis unit and the total diagnosis progress of all diagnosis units of the diagnosis service mechanism; the evaluation module is used for executing the diagnosis evaluation of the diagnosis service mechanism by the diagnosis unit; the summary module is used for generating a supervision report aiming at the diagnosis service mechanism so as to display the service quality of the diagnosis service mechanism; the technical problems that in the prior art, different diagnosis mechanisms have different diagnosis steps and different diagnosis rhythms, not only the diagnosis service progress is not good for overall control, but also the service quality cannot be effectively controlled are solved, the unified diagnosis service flow and the real-time tracking of the diagnosis service progress are realized, and the service quality of the diagnosis service mechanism is comprehensively evaluated after the diagnosis service is finished, so that the grade of the diagnosis service mechanism is obtained; the method can effectively supervise each diagnosis service mechanism to obtain a high-quality diagnosis service mechanism with better service quality.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the conventional technologies, the drawings used in the description of the embodiments or the conventional technologies will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a system block diagram of a proctoring system based on intelligent manufacturing diagnostic evaluation in one embodiment of the present invention;
FIG. 2 is a schematic diagram of a scheduling module according to the embodiment of FIG. 1;
FIG. 3 is a flow diagram of diagnostic evaluation of a proctoring system based on intelligent manufacturing diagnostic evaluation in accordance with an embodiment of the present invention;
FIG. 4 is a flow diagram of a proctoring method based on intelligent manufacturing diagnostic evaluation in accordance with an embodiment of the present invention;
FIG. 5 is a flow chart of a proctoring method based on intelligent manufacturing diagnostic evaluation in accordance with yet another embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein.
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; the two elements may be directly connected or indirectly connected through an intermediate medium, or may be communicated with each other inside the two elements, or may be wirelessly connected or wired connected. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
Example one
Referring to fig. 1, an embodiment of the present invention provides a proctoring system based on intelligent manufacturing diagnosis and evaluation, the system includes: system information module 10, user login module 20, database module 30, scheduling module 40, schedule calculation module 50, push module 60, delivery display module 70, schedule display module 80, evaluation module 90, and summary module 91.
The system information module 10 is used for acquiring the user information of the diagnosis units, the diagnosis service organizations, the government agencies, the diagnosis experts and all the roles in the diagnosis evaluation items related in the diagnosis evaluation process and the basic data related in the diagnosis evaluation process, and storing the user information in the database module 10; the user information at least comprises account information and authority information. The above information may be set or modified in advance by the system information module 10, and the set or modified data is stored in the database module 10. When the diagnostic unit, the diagnostic service, the government agency or the diagnostician needs to make a modification to the above information, the setting and modification can be made through the system information module 10.
And the user login module 20 is configured to acquire account information of a current login account, verify whether the account information is legal or matched, and enter a corresponding module of the system according to the authority information of the current login person. In the proctoring system provided by the invention, the account authority of each role is different. For example, the account of the diagnostic unit can only check the relevant information of the diagnostic service mechanism served by the diagnostic unit through the supervision system, can only check the relevant data and files generated when the diagnostic service mechanism served by the diagnostic unit serves the diagnostic service mechanism, and cannot check the data and files of other enterprises served by the diagnostic service mechanism. The account of the diagnosis service organization can check the relevant data and files of all the enterprises which are served by the diagnosis service organization, but cannot check the relevant data and files of other diagnosis service organizations. The government agency's account can then view all diagnostic services and diagnostic units' relevant data and files. Different authorities are allocated to different roles through the user login module 20, so that each role can be effectively managed, and unnecessary loss caused by leakage of confidential information inside a diagnosis unit and a diagnosis service mechanism is avoided.
The database module 30 is used for storing various data, and the database module 30 adopts a local database or a remote database.
And the scheduling plan module 40 is used for generating a diagnosis scheduling plan according to the diagnosis experts and the diagnosis units, and storing the diagnosis scheduling plan in the database module 20, wherein the diagnosis scheduling plan comprises a diagnosis subject, time and place. The diagnosis of the diagnosis unit by the diagnosis service organization is mainly carried out according to a diagnosis scheduling plan, and the diagnosis scheduling plan sets the subject of the diagnosis and the starting time and the starting position of a diagnosis evaluation process. For example, the subject of the diagnosis may be the degree of automation of the production facility of the diagnosis unit, the starting time may be 12/9/2021, and the location may be Beijing City, etc. After the scheduling plan module 40 makes a diagnosis scheduling plan, the diagnostician can diagnose the diagnosis unit according to the diagnosis scheduling plan.
In one embodiment, referring to FIG. 2 in combination, the scheduling planning module 40 includes: a diagnosis unit determination unit 41, a diagnosis specialist determination unit 42, a diagnosis node setting unit 43, a diagnosis specialist allocation unit 44, a scheduling plan determination unit 45.
A diagnostic unit determining unit 41 for determining the list of diagnostic units. A list of diagnostic units that need to be evaluated diagnostically is collected and stored in the database module 30.
And the diagnosis expert determination unit 42 is used for determining the diagnosis expert list, collecting the list of the diagnosis experts in the diagnosis service mechanism and storing the list in the database module 30.
And a diagnostic node setting unit 43, configured to set a diagnostic node, where the scheduling time of the diagnostic node needs to be longer than a predetermined time, that is, enough time needs to be reserved for diagnosis.
And the diagnosis expert distribution unit 44 is used for distributing the diagnosis scheduling plan of the diagnosis expert according to the diagnosis node and the diagnosis expert list. When the diagnosis scheduling plan of the diagnostician is distributed, whether the scheduling of the diagnostician conflicts or not needs to be fully considered, and the diagnostician is prevented from diagnosing two or more diagnostic units within the unified diagnosis scheduling time.
A schedule determination unit 45 for determining a diagnostic schedule.
And the progress calculation module 50 is used for calculating the diagnosis service progress of the diagnosis unit and storing the service progress in the database module. Referring to fig. 3, in the embodiment of the present invention, the diagnostic evaluation process generally includes 7 nodes, which are scheduling, start meeting, training, on-site research interview, last meeting, high-level report, and report, respectively. And each node can correspondingly complete corresponding progress after completion, and the diagnosis service progress of a diagnosis unit is calculated by accumulating the corresponding progress.
In one embodiment, the diagnosis and evaluation progress is calculated from a start meeting after the scheduling plan is made, and the diagnosis and evaluation flow can be set to have a start meeting node progress rate of 20%, a training node rate of 10%, a field investigation interview node rate of 20%, a last meeting node rate of 20%, a high-level report node rate of 10%, and a report node rate of 20%. Each time a node is completed, a corresponding percentage is increased, for example, after a high-level report node is completed, the diagnostic service progress is 80%.
Optionally, in the embodiment of the present invention, the supervision system needs to display the diagnosis progress in real time, including the diagnosis progress of a single diagnosis unit and the total diagnosis progress of the diagnosis service organization for all the diagnosis units. The diagnostic progress of a single diagnostic unit can be obtained by superimposing the percentages corresponding to the various nodes, as described in detail above. For the overall diagnostic progress of the diagnostic institution for all diagnostic units, the calculation rule is as follows:
1. setting total score A as 100 scores per enterprise and the number of diagnostic units;
2. setting progress score B as the sum of the scores of the corresponding percentages of one node per diagnostic unit
3. Total schedule is B/A.
For example, a certain diagnosis service organization diagnoses 3 diagnosis units, the diagnosis progress percentage of the diagnosis unit X is 20%, the diagnosis progress percentage of the diagnosis unit Y is 30%, and the diagnosis progress percentage of the diagnosis unit is 50%. Then the total score a 100 x 3 300; the progress score B is 100 × 20% +100 × 30% +100 × 50% + 100; total schedule 100/300 1/3.
And the pushing module 60 is used for pushing the diagnosis scheduling plan to the diagnosticians and the diagnosis units. After the diagnosis schedule is determined, the diagnosis schedule needs to be sent to the diagnosticians and diagnostic units for the diagnosticians and diagnostic units to execute the diagnosis schedule. In addition, if the scheduling plan is overdue, the pushing module 60 further pushes overdue information to a government agency of the procurement diagnosis service organization.
A delivery display module 70 for displaying the delivery output in the diagnosis process. In embodiments of the present invention, different nodes of the diagnostic process may produce different deliveries, for example, each node may produce corresponding paper material, a check-in form, a meeting photo, and so on. These deliveries need to be uploaded to a regulatory system and displayed to government agencies, diagnostic services and diagnostic units for review by the delivery display module 70.
And a progress display module 80 for displaying the diagnosis progress of a single diagnosis unit and the total diagnosis progress of all diagnosis units of the diagnosis service organization.
And the evaluation module 90 is used for executing the diagnosis evaluation of the diagnosis service mechanism by the diagnosis unit. After the diagnosis evaluation is completed, the diagnosis unit can perform diagnosis evaluation on the diagnosis service of the diagnosis service mechanism so as to reflect the quality of the work of the diagnosis service mechanism.
Optionally, in this embodiment of the present invention, the diagnostic evaluation items of the diagnostic service organization by the diagnostic unit include: diagnostic item completion, report expertise, and satisfaction.
And the summarizing module 91 is used for generating a supervision report aiming at the diagnosis service mechanism so as to display the service quality of the diagnosis service mechanism. The government organization evaluates the service quality of each diagnosis service organization through the supervision report of each diagnosis service organization so as to screen out the high-quality diagnosis service organization. In one embodiment, the audit report includes: the number of service diagnosis units, the evaluation of the diagnosis units (including the completion degree, the report specialization degree and the satisfaction degree), and the score of the diagnosis service organization (total score of enterprise evaluation/total number of enterprises). For the diagnosis service mechanism, the more the number of the service diagnosis units is, the higher the evaluation of the diagnosis units is, and the higher the score of the diagnosis service mechanism is, the better the diagnosis service mechanism is, and the diagnosis service mechanism can provide high quality diagnosis service.
In summary, the supervision system based on intelligent manufacturing diagnosis and evaluation provided by the invention comprises: the system comprises a system information module, a user login module, a database module, a scheduling planning module, a progress calculation module, a pushing module, a delivered object display module, a progress display module, an evaluation module and a summary module; the system information module is used for acquiring the user information of all roles in the diagnosis unit, the diagnosis service organization, the government organization, the diagnosis expert and the diagnosis evaluation project related in the diagnosis evaluation process and the basic data related in the diagnosis evaluation process, and storing the user information in the database module; the user information at least comprises account information and authority information; the user login module is used for acquiring the account information of the current login account, verifying whether the account information is legal or matched, and entering a corresponding module of the system according to the authority information of the current login personnel; the scheduling plan module is used for generating a diagnosis scheduling plan according to the diagnosis experts and the diagnosis units and storing the diagnosis scheduling plan in the database module, wherein the diagnosis scheduling plan comprises a diagnosis subject, time and place; the progress calculation module is used for calculating the diagnosis service progress of a diagnosis unit and storing the service progress in the database module; the pushing module is used for pushing the diagnosis scheduling plan to a diagnosis expert and a diagnosis unit; the delivered object display module is used for displaying delivered objects output in the diagnosis process; the progress display module is used for displaying the diagnosis progress of a single diagnosis unit and the total diagnosis progress of all diagnosis units of the diagnosis service mechanism; the evaluation module is used for executing the diagnosis evaluation of the diagnosis service mechanism by the diagnosis unit; the summary module is used for generating a supervision report aiming at the diagnosis service mechanism so as to display the service quality of the diagnosis service mechanism; the technical problems that in the prior art, different diagnosis mechanisms have different diagnosis steps and different diagnosis rhythms, not only the diagnosis service progress is not good for overall control, but also the service quality cannot be effectively controlled are solved, the unified diagnosis service flow and the real-time tracking of the diagnosis service progress are realized, and the service quality of the diagnosis service mechanism is comprehensively evaluated after the diagnosis service is finished, so that the grade of the diagnosis service mechanism is obtained; the method can effectively supervise each diagnosis service mechanism to obtain a high-quality diagnosis service mechanism with better service quality.
Example two
Referring to fig. 4, an embodiment of the present invention provides a supervision method based on intelligent manufacturing diagnosis and evaluation, the method includes:
s100, setting a diagnosis scheduling plan of a diagnosis service mechanism, and sending the diagnosis scheduling plan to a diagnosis expert and a diagnosis unit.
Wherein the diagnostic staging plan comprises: subject, time and place of diagnosis. And the diagnosis expert and the diagnosis unit perform diagnosis service according to the diagnosis scheduling plan. A diagnostic schedule is made by schedule module 40.
In one embodiment, step S100 includes:
and S110, establishing a diagnosis unit list.
And S120, setting a diagnosis expert list.
And S130, setting a diagnosis node scheduling plan.
In this step, the diagnosis node scheduling plan is a plan of diagnosis time, whether the diagnosis node scheduling plan is less than the specified time needs to be judged, and if the diagnosis node scheduling plan is less than the specified time, the diagnosis node needs to be reset; if the value is greater than or equal to the predetermined value, step S140 is executed.
And S140, allocating a scheduling plan of the diagnosis and treatment nodes of the diagnosis and treatment experts.
In the step, whether the scheduling time of the diagnosis expert conflicts or not needs to be judged, and if yes, the expert needs to be redistributed; if not, go to step S150.
And S150, if the expert scheduling time does not conflict, generating a diagnosis scheduling plan.
S200, in the diagnosis and evaluation process, collecting deliveries of all nodes in the diagnosis and evaluation process, and displaying the diagnosis progress of a single diagnosis unit and the total service progress of a diagnosis service mechanism to all diagnosis units.
In step S200, the diagnostic evaluation process includes scheduling, launching a meeting, training, on-site research interviews, last meeting, high-level reporting, and reporting 7 nodes. The deliveries of all the nodes are displayed through the deliveries display module 70, the diagnosis progress of a single diagnosis unit and the total service progress of all the diagnosis units by the diagnosis service institution are calculated through the progress calculation module 50, and the progress is displayed through the progress display module 80.
And S300, after the diagnosis of the diagnosis service mechanism is finished, acquiring the diagnosis evaluation of each diagnosis unit to the diagnosis service mechanism.
In step S300, the diagnostic evaluation items of the diagnostic unit to the diagnostic service include: diagnostic item completion, report expertise, and satisfaction. The diagnostic evaluation of the diagnostic service by each diagnostic unit is obtained by the evaluation module 90.
And S400, generating a supervision report according to the diagnosis evaluation.
The supervision report includes: the number of service diagnostic units, the evaluation of diagnostic units, the score of the diagnostic service. The audit report is generated by the summary module 91.
In summary, in the supervision method based on intelligent manufacturing diagnosis and evaluation provided by an embodiment of the present invention, by setting a diagnosis schedule of a diagnosis service mechanism and sending the diagnosis schedule to a diagnosis expert and a diagnosis unit, in a diagnosis and evaluation process, deliveries of each node in the diagnosis and evaluation process are collected, a diagnosis progress of a single diagnosis unit and a total service progress of the diagnosis service mechanism for all diagnosis units are displayed, after a diagnosis of the diagnosis service mechanism is completed, a diagnosis evaluation of the diagnosis service mechanism by each diagnosis unit is obtained, and a supervision report is generated according to the diagnosis evaluation; the technical problems that in the prior art, different diagnosis mechanisms have different diagnosis steps and different diagnosis rhythms, not only the diagnosis service progress is not good for overall control, but also the service quality cannot be effectively controlled are solved, the unified diagnosis service flow and the real-time tracking of the diagnosis service progress are realized, and the service quality of the diagnosis service mechanism is comprehensively evaluated after the diagnosis service is finished, so that the grade of the diagnosis service mechanism is obtained; the method can effectively supervise each diagnosis service mechanism to obtain a high-quality diagnosis service mechanism with better service quality.
It should be understood that the above examples are only for clarity of illustration and are not intended to limit the embodiments. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. And obvious variations or modifications therefrom are within the scope of the invention.
In the description herein, references to the description of "some embodiments," "other embodiments," "desired embodiments," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, a schematic description of the above terminology may not necessarily refer to the same embodiment or example.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A proctoring system based on intelligent manufacturing diagnostic evaluation, the system comprising: the system comprises a system information module, a user login module, a database module, a scheduling planning module, a progress calculation module, a pushing module, a delivered object display module, a progress display module, an evaluation module and a summary module;
the system information module is used for acquiring the user information of all roles in the diagnosis unit, the diagnosis service organization, the government organization, the diagnosis expert and the diagnosis evaluation project related in the diagnosis evaluation process and the basic data related in the diagnosis evaluation process, and storing the user information in the database module; the user information at least comprises account information and authority information;
the user login module is used for acquiring account information of a current login account, verifying whether the account information is legal or matched, and entering a corresponding module of the system according to the authority information of the current login personnel;
the scheduling plan module is used for generating a diagnosis scheduling plan according to diagnosis experts and diagnosis units and storing the diagnosis scheduling plan in the database module, wherein the diagnosis scheduling plan comprises a diagnosis subject, time and place;
the progress calculation module is used for calculating the diagnosis service progress of a diagnosis unit and storing the service progress in the database module;
the pushing module is used for pushing the diagnosis scheduling plan to a diagnosis expert and a diagnosis unit;
the delivered object display module is used for displaying delivered objects output in the diagnosis process;
the progress display module is used for displaying the diagnosis progress of a single diagnosis unit and the total diagnosis progress of all diagnosis units of the diagnosis service mechanism;
the evaluation module is used for executing the diagnosis evaluation of the diagnosis service mechanism by the diagnosis unit;
and the summary module is used for generating a supervision report aiming at the diagnosis service mechanism so as to display the service quality of the diagnosis service mechanism.
2. The intelligent manufacturing diagnostic assessment based audit system according to claim 1 wherein diagnostic assessment process includes scheduling, startup meeting, training, field research interview, last meeting, high level report, reporting 7 nodes.
3. The intelligent manufacturing diagnosis and evaluation based proctoring system as claimed in claim 2, wherein in the diagnosis and evaluation process, the ratio of the starting conference node progress is 20%, the training node progress is 10%, the ratio of the field investigation and interview node progress is 20%, the ratio of the last conference node progress is 20%, the ratio of the high-level report node progress is 10%, and the ratio of the report node progress is 20%.
4. The intelligent manufacturing diagnostic evaluation based proctoring system as defined in claim 1, wherein the diagnostic evaluation items of the diagnostic unit to the diagnostic service include: diagnostic item completion, report expertise, and satisfaction.
5. The intelligent manufacturing diagnostic evaluation based proctoring system as recited in claim 1, wherein the proctoring report comprises: the number of service diagnostic units, the evaluation of diagnostic units, the score of the diagnostic service.
6. The intelligent manufacturing diagnostic assessment based audit system according to claim 1 wherein said scheduling plan module comprises: the system comprises a diagnosis unit determining unit, a diagnosis expert determining unit, a diagnosis node setting unit, a diagnosis expert distributing unit and a scheduling plan determining unit;
the diagnostic unit determining unit is used for determining a diagnostic unit list;
the diagnostic expert determining unit is used for determining a diagnostic expert list;
the diagnosis node setting unit is used for setting a diagnosis node;
the diagnostic expert distribution unit is used for distributing a diagnostic schedule plan of the diagnostic expert according to the diagnostic node and the diagnostic expert list;
the scheduling plan determining unit is used for determining a diagnosis scheduling plan.
7. The intelligent manufacturing diagnostic assessment based audit system according to claim 1 wherein the deliverables include: paper materials, attendance check-in lists and conference photos.
8. The intelligent manufacturing diagnostic evaluation based proctoring system as recited in claim 1, wherein the database module employs a local database or a remote database.
9. A proctoring method based on intelligent manufacturing diagnostic evaluation, the method comprising:
setting a diagnosis scheduling plan of a diagnosis service mechanism, and sending the diagnosis scheduling plan to a diagnosis expert and a diagnosis unit;
in the diagnosis and evaluation process, collecting deliveries of each node in the diagnosis and evaluation process, and displaying the diagnosis progress of a single diagnosis unit and the total service progress of a diagnosis service mechanism to all diagnosis units;
after the diagnosis of the diagnosis service mechanism is finished, the diagnosis evaluation of each diagnosis unit on the diagnosis service mechanism is obtained;
generating a supervision report according to the diagnosis evaluation;
wherein the diagnostic staging plan comprises: diagnosis subject, time and place; the audit report includes: the number of service diagnostic units, the evaluation of diagnostic units, the score of the diagnostic service.
10. The intelligent manufacturing diagnosis evaluation based proctoring method as claimed in claim 9, wherein the setting of the diagnosis scheduling plan of the diagnosis service organization comprises:
establishing a diagnosis unit list;
setting a diagnosis expert list;
setting a diagnosis node scheduling plan;
allocating a scheduling plan of diagnosis treatment and diagnosis nodes of a diagnosis expert;
and if the expert scheduling time does not conflict, generating a diagnosis scheduling plan.
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| CN202111616749.5A CN114386789A (en) | 2021-12-27 | 2021-12-27 | Supervision system and method based on intelligent manufacturing diagnosis and evaluation |
| PCT/CN2021/142581 WO2023123078A1 (en) | 2021-12-27 | 2021-12-29 | Supervision system and method based on intelligent manufacturing diagnostic evaluation |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| KR101808702B1 (en) * | 2017-03-22 | 2018-01-18 | 중소기업진흥공단 | Enterprise Diagnostic Method Using Enterprise Diagnosis And Evaluation Integration System |
| CN108683673A (en) * | 2018-05-22 | 2018-10-19 | 厦门港湾咨询监理有限公司 | Long-range multiple terminals Supervision Organization work service managing and control system |
| CN112330303A (en) * | 2020-11-27 | 2021-02-05 | 同济大学建筑设计研究院(集团)有限公司 | Intelligent project evaluation cooperative management system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104573979A (en) * | 2015-01-26 | 2015-04-29 | 浪潮软件股份有限公司 | Assessment method and device based on PDCA |
| CN108345991A (en) * | 2018-01-31 | 2018-07-31 | 国网山东省电力公司经济技术研究院 | A kind of the feasibility study review system and reviewing method of fusion power grid multi-source information |
| US20200327467A1 (en) * | 2019-04-11 | 2020-10-15 | Tim Davies | Method and system for automated project management workflow and monitoring |
| CN113077143B (en) * | 2021-03-31 | 2022-06-07 | 国网浙江省电力有限公司物资分公司 | Comprehensive plan management and control system based on remote examination |
| CN113539455A (en) * | 2021-07-02 | 2021-10-22 | 内蒙古自治区人民医院 | Hospital field evaluation system, device and method |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101808702B1 (en) * | 2017-03-22 | 2018-01-18 | 중소기업진흥공단 | Enterprise Diagnostic Method Using Enterprise Diagnosis And Evaluation Integration System |
| CN108683673A (en) * | 2018-05-22 | 2018-10-19 | 厦门港湾咨询监理有限公司 | Long-range multiple terminals Supervision Organization work service managing and control system |
| CN112330303A (en) * | 2020-11-27 | 2021-02-05 | 同济大学建筑设计研究院(集团)有限公司 | Intelligent project evaluation cooperative management system |
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