Disclosure of Invention
The invention aims to provide a method and equipment for multi-person cooperation on-line investigation in the manufacturing industry aiming at the defects in the prior art.
To achieve the above object, in a first aspect, the present invention provides a method for multi-person cooperation on-line investigation in manufacturing industry, comprising:
performing module division on questionnaire questions used for online research to obtain a plurality of questionnaire modules, creating and forming a research model based on the questionnaire modules, and generating a model configuration table of the research model;
the user registration acquires a unique user identifier and associates the unique user identifier with the enterprise to which the user belongs;
receiving an instruction of a user selecting a research model, inquiring the research project information corresponding to the enterprise to which the current user belongs, if no research project is currently in progress, generating a research project number, searching a corresponding model configuration table according to the unique identification of the research model selected by the user, and displaying each questionnaire module of the research model selected by the user; if the current research project is in progress, directly displaying a questionnaire module of the research project to continue the current research progress;
receiving an instruction of a questionnaire module selected by a user, inquiring the state and the progress of the questionnaire module selected by the user so that the user can complete online evaluation according to the state and the progress of the questionnaire module, storing questionnaire answer data in real time in the user evaluation process, and correspondingly generating a questionnaire answer identifier after the user completes the evaluation;
after all questionnaire modules under the investigation model are evaluated, all questionnaire module answer identifications meeting the conditions are searched out according to the investigation project number, corresponding questionnaire answer data are obtained according to the searched questionnaire module answer identifications, and all the obtained questionnaire answer data are integrated to form complete questionnaire answers.
Further, the state of the questionnaire module comprises unexevation, evaluation neutralization and evaluation completion;
if the state of the questionnaire module is not evaluated, creating a questionnaire module progress record, and updating the state of the questionnaire module into evaluation;
if the state of the questionnaire module is in evaluation and the user who selects the questionnaire module is not the user who is currently evaluated, generating a prompt message in the evaluation of a certain user;
and if the state of the questionnaire module is in evaluation and the user who selects the questionnaire module is the current evaluation user, entering a questionnaire evaluation link and reading the last evaluation progress of the user, and after the user finishes evaluation, updating the state of the questionnaire module to be evaluation completion.
Further, the model configuration table comprises a unique investigation model identifier, a unique questionnaire module identifier, a name of the questionnaire module and a control mark.
Further, the investigation project number comprises an enterprise unique identifier, the generation date of the investigation project number and the statistics of the completed investigation project of the enterprise on the day + 1.
Further, the progress record comprises a research project number, a research model unique identifier, a questionnaire module unique identifier, the state of the questionnaire module and a user unique identifier.
In a second aspect, the present invention provides an apparatus for multi-person collaborative online research in manufacturing industry, comprising:
the research model generation module is used for carrying out module division on questionnaire questions used for online research to obtain a plurality of questionnaire modules, creating and forming a research model based on the questionnaire modules and generating a model configuration table of the research model;
the registration module is used for registering a user to obtain a unique user identifier and associating the unique user identifier with the enterprise to which the user belongs;
the investigation model processing module is used for receiving an instruction of selecting an investigation model by a user, inquiring investigation item information corresponding to an enterprise to which the current user belongs, if no investigation item is currently in progress, generating an investigation item number, searching a model configuration table corresponding to the investigation model according to the unique identification of the investigation model selected by the user, and displaying each questionnaire module of the investigation model selected by the user; if the current research project is in progress, directly displaying a questionnaire module of the research project to continue the current research progress;
the questionnaire module processing module is used for receiving an instruction of the questionnaire module selected by the user, inquiring the state and the progress of the questionnaire module selected by the user so that the user can complete online evaluation according to the state and the progress of the questionnaire module, storing questionnaire answer data in real time in the user evaluation process, and correspondingly generating a questionnaire answer identifier after the user completes the evaluation;
and the questionnaire answer integrating module is used for searching all questionnaire module answer identifications meeting the conditions according to the investigation project number after all questionnaire modules under the investigation model are evaluated, acquiring corresponding questionnaire answer data according to the searched questionnaire module answer identifications, and integrating all the acquired questionnaire answer data to form complete questionnaire answers.
Further, the state of the questionnaire module comprises unexevation, evaluation neutralization and evaluation completion;
if the state of the questionnaire module is not evaluated, the questionnaire module processing module creates a questionnaire module progress record and updates the state of the questionnaire module into evaluation;
if the state of the questionnaire module is inquired by the questionnaire module processing module and the user who selects the questionnaire module at present is not the user who is currently evaluated, a prompt message in the evaluation of a certain user is generated by the questionnaire module processing module;
and if the state of the questionnaire module is inquired by the questionnaire module processing module is in the evaluation and the user selecting the questionnaire module is the current evaluation user, entering a questionnaire evaluation link and reading the last evaluation progress of the user, and after the user finishes the evaluation, updating the state of the questionnaire module to the evaluation completion.
Further, the model configuration table comprises a unique investigation model identifier, a unique questionnaire module identifier, the name of the questionnaire module and a control mark
Further, the investigation project number comprises an enterprise unique identifier, the generation date of the investigation project number and the statistics of the completed investigation project of the enterprise on the day + 1.
Further, the progress record comprises a research project number, a research model unique identifier, a questionnaire module unique identifier and the state of the questionnaire module.
Has the advantages that: according to the invention, the questionnaire used for on-line investigation is dynamically divided into modules, so that a plurality of users can concurrently perform on-line evaluation, the investigation efficiency is improved, and the convenience of user operation is improved.
Detailed Description
The present invention will be further illustrated with reference to the accompanying drawings and specific examples, which are carried out on the premise of the technical solution of the present invention, and it should be understood that these examples are only for illustrating the present invention and are not intended to limit the scope of the present invention.
As shown in fig. 1, an embodiment of the present invention provides a method for multi-person cooperation online research in manufacturing industry, including:
the questionnaire questions used for on-line investigation are divided into modules to obtain a plurality of questionnaire modules, a investigation model is created and formed based on the questionnaire modules, and a model configuration table of the investigation model is generated. Specifically, the model configuration table includes a unique investigation model identifier, a unique questionnaire module identifier, a name of the questionnaire module, and a control mark. The name of the questionnaire module includes, for example, planning, purchasing, manufacturing, delivery, energy, and the like. The control mark is used for marking whether the questionnaire module can be used currently, for example, after a certain user uses a certain questionnaire module, the control mark of the questionnaire module marks that the user uses the questionnaire module, and other users can see the state of the questionnaire module and cannot use the questionnaire module any more.
And the user registration acquires the unique user identifier and associates the unique user identifier with the enterprise to which the user belongs.
Receiving an instruction of a user selecting a research model, inquiring the research project information corresponding to the enterprise to which the current user belongs, if no research project is currently in progress, generating a research project number, searching a corresponding model configuration table according to the unique identification of the research model selected by the user, and displaying each questionnaire module of the research model selected by the user; and if the current research project exists, directly displaying the questionnaire module of the research project to continue the current research progress. Specifically, the investigation project number includes the enterprise unique identifier, the generation date of the investigation project number, and the statistics of the completed investigation project of the enterprise on the same day + 1. The date of creation of the investigation project number is preferably represented by YYYYMMDD, yyyyy representing year, MM representing month, and DD representing day. The statistics +1 of completed research projects for the day of the enterprise is preferably represented by four digits, for example, if the enterprise has completed 1 research project for the day, then the statistics +1 of completed research projects for the next day of the enterprise may be represented as 0002.
And receiving an instruction of the questionnaire module selected by the user, inquiring the state and the progress of the questionnaire module selected by the user so that the user can complete online evaluation according to the state and the progress of the questionnaire module, and storing the answer data of the questionnaire in real time in the user evaluation process. And after the user finishes the evaluation, generating a questionnaire answer mark correspondingly. Specifically, the status of the questionnaire module includes unevaluated, in-assessment, and in-assessment completed. And if the state of the questionnaire module is not evaluated, creating a questionnaire module progress record, and updating the state of the questionnaire module into the evaluation. And if the state of the questionnaire module is in evaluation and the user who selects the questionnaire module is not the user who is currently evaluated, generating a prompt message in the evaluation of a certain user. And if the state of the questionnaire module is in evaluation and the user who selects the questionnaire module is the current evaluation user, entering a questionnaire evaluation link and reading the last evaluation progress of the user. And after the user finishes the evaluation, updating the state of the questionnaire module to be the evaluation completion. The progress record comprises a research project number, a research model unique identifier, a questionnaire module unique identifier, the state of the questionnaire module and a user unique identifier. It should be noted that the operation of selecting the research model and the questionnaire module by the user is performed after logging in the research system, so that the login information of the user can be used as the unique identifier of the user.
After all questionnaire modules under the investigation model are evaluated, all questionnaire module answer identifications meeting the conditions are searched out according to the investigation project number, corresponding questionnaire answer data are obtained according to the searched questionnaire module answer identifications, and all the obtained questionnaire answer data are integrated to form complete questionnaire answers.
Based on the above embodiments, those skilled in the art can understand that the present invention further provides an apparatus for multi-person cooperation online research in manufacturing industry, which includes a research model generation module, a registration module, a research model processing module, a questionnaire module processing module, and a questionnaire answer integration module.
The research model generation module is used for carrying out module division on questionnaire questions used for online research to obtain a plurality of questionnaire modules, creating and forming a research model based on the questionnaire modules, and generating a model configuration table of the research model. Specifically, the model configuration table includes a survey model unique identifier, a questionnaire module unique identifier, a name of the questionnaire module, and a control flag. The name of the questionnaire module includes, for example, planning, purchasing, manufacturing, delivery, energy, and the like. The control mark is used for marking whether the questionnaire module can be used currently, for example, after a certain user uses a certain questionnaire module, the control mark of the questionnaire module marks that the user uses the questionnaire module, and other users can see the state of the questionnaire module and cannot use the questionnaire module any more.
The registration module is used for registering a user to obtain a unique user identifier and associating the unique user identifier with the enterprise to which the user belongs;
the investigation model processing module is used for receiving an instruction of selecting an investigation model by a user, inquiring investigation item information corresponding to an enterprise to which the current user belongs, if no investigation item is currently in progress, generating an investigation item number, searching a model configuration table corresponding to the investigation model according to a unique identification of the investigation model selected by the user, and displaying each questionnaire module of the investigation model selected by the user; and if the current research project exists, directly displaying the questionnaire module of the research project to continue the current research progress. Specifically, the investigation project number includes the enterprise unique identifier, the generation date of the investigation project number, and the statistics of the completed investigation project of the enterprise on the same day + 1. The date of creation of the investigation project number is preferably represented by YYYYMMDD, yyyyy representing year, MM representing month, and DD representing day. The statistics +1 of completed research projects for the day of the enterprise is preferably represented by four digits, for example, if the enterprise has completed 1 research project for the day, then the statistics +1 of completed research projects for the next day of the enterprise may be represented as 0002.
The questionnaire module processing module is used for receiving an instruction of the questionnaire module selected by the user, inquiring the state and the progress of the questionnaire module selected by the user so that the user can complete online evaluation according to the state and the progress of the questionnaire module, and storing questionnaire answer data in real time in the user evaluation process. And after the user finishes the evaluation, generating a questionnaire answer mark correspondingly. Specifically, the status of the questionnaire module includes unevaluated, in-assessment, and in-assessment completed. And if the state of the questionnaire module is not evaluated, the questionnaire module processing module creates a questionnaire module progress record and updates the state of the questionnaire module into the evaluation. And if the state of the questionnaire inquiring module is in evaluation and the user who selects the questionnaire module at present is not the user who is currently evaluated, the questionnaire module processing module generates a prompt message in the evaluation of a certain user. And if the state of the questionnaire inquiring module is in the evaluation and the user selecting the questionnaire module is the current evaluation user, the questionnaire module processing module enters a questionnaire evaluation link and reads the last evaluation progress of the user. And after the user finishes the evaluation, updating the state of the questionnaire module to be the evaluation completion. The progress record comprises a research project number, a research model unique identifier, a questionnaire module unique identifier, the state of the questionnaire module and a user unique identifier. It should be noted that the operation of selecting the research model and the questionnaire module by the user is performed after logging in the research system, so that the login information of the user can be used as the unique identifier of the user.
The questionnaire answer integrating module is used for searching all questionnaire module answer identifications meeting the conditions according to the investigation project number after all questionnaire modules under the investigation model are evaluated, acquiring corresponding questionnaire answer data according to the searched questionnaire module answer identifications, and integrating all the acquired questionnaire answer data to form complete questionnaire answers.
For example, xxx corporation carries out "lean digital production" on-line research on 2020-08-01 days:
the research model generation module divides the questionnaire questions used by lean digital production into 7 questionnaire modules of planning, purchasing, manufacturing, delivering, energy, enabling and digitalizing, the 7 questionnaire modules create and form a lean digital production research model, and the research model configuration module correspondingly generates a unique research model identifier, a unique questionnaire module identifier, the name of the questionnaire module and a control mark.
A user of a xxx enterprise starts on-line investigation, the system searches whether the current xxx enterprise has an in-progress investigation project according to the xxx enterprise identification, the checking result is that the current xxx enterprise does not have the in-progress investigation project, the enterprise finishes 2 times of investigation in 2020-08-01, the system creates an investigation project number (numbered as xxx enterprise identification +20200801+ 0003) for the investigation, searches a corresponding questionnaire module according to the lean digital production model unique identification, and displays that planning, purchasing, manufacturing, delivering, energy, enabling and digitalizing are 'not evaluated'.
The user A selects a plan module for evaluation, the state of the plan module is changed into 'in the evaluation of the user A', and a corresponding plan module progress is generated, wherein the plan module progress is as follows: investigation item number (xxx enterprise id +20200801+ 0003) + lean digital production model unique id + planning module unique id + user unique + status "evaluation".
At this time, if the B user starts online research, the system retrieves the research item (numbered xxx enterprise id +20200801+ 0003) in progress stored in the xxx enterprise, the system displays that the planning module "a user is in evaluation", the other 6 questionnaire modules are "not in evaluation", the B user selects the purchasing module for evaluation, the state of the purchasing module is changed to "B user is in evaluation", and the corresponding purchasing module progress is generated.
The user then C, D, E, F, G selects manufacturing, delivery, energy, enable, and digitization, respectively, for online research and generates the corresponding questionnaire module schedule.
After the user A finishes the evaluation of the selected plan module, the state of the plan module is changed into 'evaluation finished', and the progress of the questionnaire module is updated as follows: the investigation item number (xxx enterprise id +20200801+ 0003) + lean digital production model id + plan module id + a user unique + status "evaluation complete" + questionnaire answer id.
B. C, D, E, F, G the users finish their selection module evaluation and update their corresponding questionnaire module progress.
After the states of all questionnaire modules are changed into 'evaluation completion', the system retrieves all questionnaire answer identifications according to the investigation item number (xxx enterprise identification +20200801+ 0003) + lean digital production model identification, acquires corresponding questionnaire answer data according to the questionnaire answer identifications, synthesizes the questionnaire answer data into a piece of questionnaire answer data, and then updates the state of the investigation item number (xxx enterprise identification +20200801+ 0003) to 'investigation completion'.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that other parts not specifically described are within the prior art or common general knowledge to those of ordinary skill in the art. Without departing from the principle of the invention, several improvements and modifications can be made, and these improvements and modifications should also be construed as the scope of the invention. .