CN113744890A - Reworking and production-resuming analysis method, system and storage medium - Google Patents
Reworking and production-resuming analysis method, system and storage medium Download PDFInfo
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Abstract
According to the reworking and reworking analysis method, the reworking and reworking analysis system and the storage medium, the multi-dimensional reworking and reworking index is obtained through the analysis of population characteristic information, energy consumption information, emission information and consumption information, and epidemic situation change trend information can be obtained according to population mobility and vaccination information in an area so as to assist in judging the reworking and reworking index. The invention also analyzes the rework and reproduction index through angles such as historical data and resource allocation to verify the accuracy of the rework and reproduction index, improve the experience of use and provide powerful scientific and technological support.
Description
Technical Field
The present application relates to the field of data analysis and data processing, and more particularly, to a method, a system, and a storage medium for analyzing a rework and production.
Background
The re-working and re-production refers to the related matters and series problems of re-working and re-production which are uniformly guided by national and local governments after all or most of enterprises and public institutions are unable to carry out production activities, production and operation activities and shutdown due to special reasons, special periods and extraordinary periods. However, at present, an effective method for monitoring the industry reworking and reworking is lacked, the enterprise reworking and reworking degree of the industry cannot be accurately judged, and the overall reworking and reworking degree of the industry cannot be known. When the reworking is carried out, workers in some enterprises do not return to the factory, the electric lamp is started to start the air conditioner, the electric device is started to start the machine, and the electric meter is rotated, so that the reworking data can be good-looking. In the process of reworking and reworking, some enterprises play digital games to deal with indexes issued by the superior.
Accordingly, there are deficiencies in the art and improvements are needed.
Disclosure of Invention
In view of the above, the method, the system and the storage medium for analyzing the rework and rework yields provided by the invention obtain the multidimensional rework and rework yields index by analyzing the population characteristic information, the energy consumption information, the emission information and the consumption information, and can obtain the epidemic situation change trend information according to the population mobility and the vaccination information in the area to assist in judging the rework and rework yields index. The invention also analyzes the rework and reproduction index through angles such as historical data and resource allocation to verify the accuracy of the rework and reproduction index, improve the experience of use and provide powerful scientific and technological support.
The invention provides a duplex production and reproduction analysis method in a first aspect, which comprises the following steps:
acquiring population characteristic information, energy consumption information, emission information and consumption information in a preset area;
performing rework and production recovery analysis according to the population characteristic information, the energy consumption information, the emission information and the consumption information to obtain rework and production recovery indexes with a plurality of preset dimensions;
and sending the reworking and production-resuming indexes of the plurality of preset dimensions to a preset terminal for displaying.
In this scheme, still include:
acquiring population vaccination information in a preset area;
acquiring flow characteristic information in population characteristic information;
performing epidemic situation simulation analysis according to the population vaccination information and the flow characteristic information to obtain epidemic situation change trend information;
predicting a rework and reproduction index according to the epidemic situation change trend information to obtain a predicted rework and reproduction index;
and sending the predicted rework and production recovery index to a preset terminal.
In this scheme, the epidemic situation simulation analysis is carried out according to the population vaccination information and the flow characteristic information, and the method specifically comprises the following steps:
and inputting the population vaccination information and the flow characteristic information into a preset epidemic situation neural network model to obtain epidemic situation change trend information.
In this scheme, still include:
acquiring historical production information in a preset area;
establishing a data model according to the historical production information to obtain a reproduction model;
performing simulation analysis through the reproduction model to obtain a simulation reproduction index;
obtaining the rework and production recovery indexes of a plurality of preset dimensions;
comparing the rework and reproduction indexes of the preset dimensions with the simulation rework and reproduction indexes to obtain a difference rate;
and if the difference rate is greater than the preset difference rate threshold value, sending prompt information to a preset terminal.
In this scheme, still include:
performing resource allocation through the rework and production index of a plurality of preset dimensions to obtain resource allocation information;
analyzing the correlation between the resource allocation information and the rework and production recovery indexes of a plurality of preset dimensions;
and if the correlation is negative, sending a prompt message to a preset terminal.
In this scheme, still include:
acquiring population characteristic information of a preset special area, and analyzing to obtain population mobility characteristics and population composition characteristics of the preset special area;
analyzing according to the population mobility characteristics and population composition to obtain the operation rate of a special area;
judging whether the operation rate of the special area is positively correlated with the rework and production recovery indexes of a plurality of preset dimensions;
and if the correlation is negative, sending a prompt message to a preset terminal.
The second aspect of the present invention provides a duplicate and duplicate product analysis system, including a memory and a processor, where the memory includes a duplicate and duplicate product analysis method program, and when executed by the processor, the duplicate and duplicate product analysis method program implements the following steps:
acquiring population characteristic information, energy consumption information, emission information and consumption information in a preset area;
performing rework and production recovery analysis according to the population characteristic information, the energy consumption information, the emission information and the consumption information to obtain rework and production recovery indexes with a plurality of preset dimensions;
and sending the reworking and production-resuming indexes of the plurality of preset dimensions to a preset terminal for displaying.
In this scheme, still include:
acquiring population vaccination information in a preset area;
acquiring flow characteristic information in population characteristic information;
performing epidemic situation simulation analysis according to the population vaccination information and the flow characteristic information to obtain epidemic situation change trend information;
predicting a rework and reproduction index according to the epidemic situation change trend information to obtain a predicted rework and reproduction index;
and sending the predicted rework and production recovery index to a preset terminal.
In this scheme, the epidemic situation simulation analysis is carried out according to the population vaccination information and the flow characteristic information, and the method specifically comprises the following steps:
and inputting the population vaccination information and the flow characteristic information into a preset epidemic situation neural network model to obtain epidemic situation change trend information.
In this scheme, still include:
acquiring historical production information in a preset area;
establishing a data model according to the historical production information to obtain a reproduction model;
performing simulation analysis through the reproduction model to obtain a simulation reproduction index;
obtaining the rework and production recovery indexes of a plurality of preset dimensions;
comparing the rework and reproduction indexes of the preset dimensions with the simulation rework and reproduction indexes to obtain a difference rate;
and if the difference rate is greater than the preset difference rate threshold value, sending prompt information to a preset terminal.
In this scheme, still include:
performing resource allocation through the rework and production index of a plurality of preset dimensions to obtain resource allocation information;
analyzing the correlation between the resource allocation information and the rework and production recovery indexes of a plurality of preset dimensions;
and if the correlation is negative, sending a prompt message to a preset terminal.
In this scheme, still include:
acquiring population characteristic information of a preset special area, and analyzing to obtain population mobility characteristics and population composition characteristics of the preset special area;
analyzing according to the population mobility characteristics and population composition to obtain the operation rate of a special area;
judging whether the operation rate of the special area is positively correlated with the rework and production recovery indexes of a plurality of preset dimensions;
and if the correlation is negative, sending a prompt message to a preset terminal.
A third aspect of the present invention provides a computer-readable storage medium, where the computer-readable storage medium includes a duplicate production and duplicate production analysis method program, and when the duplicate production and duplicate production analysis method program is executed by a processor, the computer-readable storage medium implements the steps of the duplicate production and duplicate production analysis method described in any of the above.
According to the reworking and reworking analysis method, the reworking and reworking analysis system and the storage medium, the multi-dimensional reworking and reworking index is obtained through the analysis of population characteristic information, energy consumption information, emission information and consumption information, and epidemic situation change trend information can be obtained according to population mobility and vaccination information in an area so as to assist in judging the reworking and reworking index. The invention also analyzes the rework and reproduction index through angles such as historical data and resource allocation to verify the accuracy of the rework and reproduction index, improve the experience of use and provide powerful scientific and technological support.
Drawings
FIG. 1 is a flow chart of a rework and duplicate production analysis method according to the present invention;
fig. 2 is a block diagram of a duplex and duplicate production analysis system according to the present invention.
Detailed Description
In order to make the objects, features and advantages of the present application more obvious and understandable, the technical solutions in the embodiments of the present application are clearly and completely described, and it is obvious that the embodiments described below are only a part of the embodiments of the present application, and not all embodiments. 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 application.
Fig. 1 shows a flow chart of a rework and duplicate production analysis method according to the present invention.
As shown in fig. 1, the invention discloses a rework and production recovery analysis method, which comprises the following steps:
s102, acquiring population characteristic information, energy consumption information, emission information and consumption information in a preset area;
s104, performing rework and production recovery analysis according to the population characteristic information, the energy consumption information, the emission information and the consumption information to obtain rework and production recovery indexes of a plurality of preset dimensions;
and S106, sending the reworking and production-resuming indexes of the plurality of preset dimensions to a preset terminal for displaying.
The demographic information includes consumption characteristics, population movement characteristics, population composition characteristics, social relationship characteristics, living stability characteristics, working stability characteristics, interest distribution information, and the like of the population in the current area. The energy consumption information is consumption information of resources such as electric power, gas, water and the like in a preset area. The emission information is information of wastewater emission, exhaust emission, and the like in a preset area, wherein the exhaust emission may further include emission of carbon dioxide. The consumption information is consumption data of users in a preset area, and mainly refers to on-site consumption information. Firstly, population characteristic information, energy consumption information, emission information and consumption information in a preset area are obtained. And then, performing rework and production recovery analysis according to the population characteristic information, the energy consumption information, the emission information and the consumption information to obtain rework and production recovery indexes with a plurality of preset dimensions. The reworking and reworking indexes of different dimensions can be obtained through analysis of parameters of multiple dimensions, such as a working population reworking index, a traffic reworking index, a power reworking comprehensive index, a water reworking index, a takeaway reworking index, a logistics reworking index and the like. The rework and rework index analysis methods of each dimension may not be the same, for example, the rework index of the working population may be obtained by analyzing parameters such as population mobility characteristics and population composition characteristics in population characteristic information; the comprehensive index of the electric power complex production can be obtained by analyzing energy consumption information and emission information. Wherein, the method of each dimension analysis can be obtained by the person skilled in the art according to the big data comparison and statistical method in the prior art. After the rework and reproduction indexes of a plurality of preset dimensions are obtained, the rework and reproduction indexes of the plurality of preset dimensions are sent to a preset terminal for display.
According to the embodiment of the invention, the method further comprises the following steps:
acquiring population vaccination information in a preset area;
acquiring flow characteristic information in population characteristic information;
performing epidemic situation simulation analysis according to the population vaccination information and the flow characteristic information to obtain epidemic situation change trend information;
predicting a rework and reproduction index according to the epidemic situation change trend information to obtain a predicted rework and reproduction index;
and sending the predicted rework and production recovery index to a preset terminal.
It should be noted that, when performing rework and replication statistics, the auxiliary analysis can be performed through the dimension of population vaccination, and the higher the vaccination rate of population vaccination is, the more people with virus antibodies in the region are, the lower the possibility of preventing virus propagation is, and the lower the possibility of occurrence of the epidemic situation is, the rework and replication index will tend to the normal value. Firstly, population vaccination information in a preset area is obtained, and the population vaccination information can be obtained through a third party platform or a government affair platform. And then acquiring flow characteristic information in the population characteristic information, and performing epidemic situation simulation analysis according to the population vaccination information and the flow characteristic information to obtain epidemic situation change trend information. The stronger the mobility, the more the frequency and the number of people who show the business turn over region are, the more the epidemic situation risk can be, combined population vaccination information can go out the change trend information of epidemic situation in an analysis way. For example, if the mobility is high and the vaccination rate is low, the risk of subsequent epidemic is high. And after the change trend information of the epidemic situation is obtained, carrying out the prediction of the rework and reproduction index according to the change trend information of the epidemic situation to obtain the predicted rework and reproduction index. The prediction can be realized by adopting a prediction model in the prior art or by using a neural network model. And finally, sending the predicted rework and production recovery index to a preset terminal.
According to the embodiment of the invention, the epidemic situation simulation analysis is carried out according to the population vaccination information and the flow characteristic information, and specifically comprises the following steps:
and inputting the population vaccination information and the flow characteristic information into a preset epidemic situation neural network model to obtain epidemic situation change trend information.
It should be noted that, when the epidemic situation change trend analysis is performed, the simulation analysis can be performed by using the neural network model, and the epidemic situation neural network model is trained in advance, and data prediction is performed in an artificial intelligence mode, so that the prediction result is more accurate. The input information of the preset epidemic situation neural network model is human mouth vaccination information and flow characteristic information, and the output information is epidemic situation change trend information.
According to the embodiment of the invention, the method further comprises the following steps:
acquiring historical production information in a preset area;
establishing a data model according to the historical production information to obtain a reproduction model;
performing simulation analysis through the reproduction model to obtain a simulation reproduction index;
obtaining the rework and production recovery indexes of a plurality of preset dimensions;
comparing the rework and reproduction indexes of the preset dimensions with the simulation rework and reproduction indexes to obtain a difference rate;
and if the difference rate is greater than the preset difference rate threshold value, sending prompt information to a preset terminal.
It should be noted that, during rework and rework duplication, some of the employees in the enterprise often do not return to the factory, the electric lamp is turned on first, the electric meter is turned on, and the electric meter is turned on, so that the rework data is good-looking. In the process of reworking and reworking, some enterprises play digital games to deal with indexes issued by the superior. In order to deal with the water injection condition, the invention judges whether the water injection problem exists or not by carrying out simulation analysis on historical data. First, historical production information in a preset area is obtained, wherein the historical production information can comprise one or more of demographic information, energy consumption information, emission information and consumption information. And then establishing a data model for the historical production information to obtain a reproduction model. The model can be established by a model establishing method commonly used in the art, and a person skilled in the art can select a model establishing mode according to actual needs, for example, a logistic model can be selected. And after the reproduction model is established, carrying out simulation analysis through the reproduction model to obtain a simulation reproduction index. The current production parameters can be input through simulation analysis of the reproduction model, and a simulation index is obtained. The simulation rework and reproduction index comprises a rework and reproduction simulation value with multiple dimensions, and can be compared with the analyzed rework and reproduction indexes with multiple preset dimensions to obtain a difference rate, if the difference rate is too high, the fact that the rework and reproduction index obtained by current analysis has certain deviation and a water injection phenomenon possibly exists is shown, so that the simulation rework and reproduction index needs to be reported to a preset terminal. The difference rate threshold is set by a person skilled in the art according to actual needs, preferably set to 20%, that is, if the difference rate exceeds 20%, the report will be performed.
According to the embodiment of the invention, the method further comprises the following steps:
performing resource allocation through the rework and production index of a plurality of preset dimensions to obtain resource allocation information;
analyzing the correlation between the resource allocation information and the rework and production recovery indexes of a plurality of preset dimensions;
and if the correlation is negative, sending a prompt message to a preset terminal.
It should be noted that the society is a complex mechanism system, if every industry breaks away from a normal operation system, the operation of the whole society is stopped, resource allocation needs to be monitored in real time during the re-production, the re-production rate is gradually increased, and the re-production rate is gradually recovered to a normal state, so that certain links in the re-production process are prevented from breaking away from the expected track due to resource allocation problems. For example, rapid recovery of the manufacturing industry and unstable power resources can lead to the production capacity of the manufacturing industry being stagnated and wasting resources. Firstly, resource allocation is required to be carried out through the rework and production index of a plurality of preset dimensions, and the resource allocation comprises the contents of energy allocation, labor allocation, emission allocation, traffic allocation and the like. The proportion and the size of resource allocation can be obtained through the reworking and production-resuming indexes of each dimension. And after the resource allocation information is obtained, analyzing the correlation between the resource allocation information and the rework and production recovery indexes of a plurality of preset dimensions. The correlation indicates the degree of correlation between the two, if the correlation is positive, the two are increased together or decreased together, if the correlation is negative, the rework and rework indexes of a certain dimension are increased, and the corresponding resource allocation is decreased, so that resource waste is caused, and the rework and rework of the whole society is influenced. The correlation calculation may adopt a correlation calculation method in the prior art, and the present invention is not described in detail. Therefore, when such a situation is detected, the situation needs to be reported to a preset terminal.
According to the embodiment of the invention, the method further comprises the following steps:
acquiring population characteristic information of a preset special area, and analyzing to obtain population mobility characteristics and population composition characteristics of the preset special area;
analyzing according to the population mobility characteristics and population composition to obtain the operation rate of a special area;
judging whether the operation rate of the special area is positively correlated with the rework and production recovery indexes of a plurality of preset dimensions;
and if the correlation is negative, sending a prompt message to a preset terminal.
It is noted that in some special areas, for example, hospitals. When the epidemic situation, the mobility of the inside personnel of hospital can weaken, some departments can stop diagnosing even, and the number of in-patient of hospital can reduce, and carry out the management and control, through the control and the analysis to the special area like this of hospital, can be used for the supplementary result of judging the duplicate production, if the mobility of hospital is high, explain the visitor's of hospital to come and go, the population composition characteristic of the inside of hospital is less in the change of a period, then explain the hospital and carried out the management and control, the personnel that have restricted inside and outside flow, through the operating rate of special areas such as hospital, can indirectly obtain the degree of accuracy of duplicate production index. Firstly, acquiring population characteristic information of a preset special area, and analyzing to obtain population mobility characteristics and population composition characteristics of the preset special area. The preset special area is a preset position of a hospital and other areas, population mobility characteristics and population composition characteristics of the area are obtained, the population mobility characteristics are the conditions that a population enters and exits the area, the mobility is higher, the more the number of people entering and exiting the area is, the more frequently the population is, and the population composition characteristics show the composition proportion of people in the area, the age, the gender, the occupation and other composition conditions. And then analyzing according to the population mobility characteristics and population composition to obtain the operation rate of the special area, wherein the operation rate indicates the operation efficiency of the area, and the operation efficiency is higher than that of the epidemic situation under the normal state. The operation rate can be counted by combining the per-person efficiency and the resource utilization rate in the area, the operation rate is a technology commonly used in the field, and the invention is not described in detail any more. After the operation rate is obtained, it is necessary to determine whether the operation rate of the special area is positively correlated with the rework reproduction index of a plurality of preset dimensions. If the correlation is positive, the reworking and production-resuming indexes obtained by the previous operation are more accurate; if the correlation is negative, the fact that errors possibly exist in the reworking and reworking index obtained by the previous operation is shown, and prompt information needs to be sent to a preset terminal.
According to the embodiment of the invention, the training of the epidemic situation neural network model specifically comprises the following steps:
acquiring historical state data; preprocessing the historical state data to obtain a training array; sending the training array to an initialized neural network model for training; acquiring the error rate of the trained neural network model; and if the error rate is less than a preset error rate threshold value, stopping training to obtain a preset epidemic situation neural network model.
It should be noted that the historical state data is the oral vaccination information and the flow characteristic information, and the more the acquired historical data, the more accurate the trained neural network model. Firstly, after obtaining the historical state characteristic value, preprocessing is needed, and after preprocessing, a training data set is obtained. And then inputting the training data set into the initialized neural network model for training, wherein the training is automatic training, and the neural network model is finally obtained. And then test data are input, and the accuracy of the prediction result output by the epidemic situation neural network model is judged. And the prediction accuracy is compared with a preset accuracy threshold, if the prediction accuracy exceeds the accuracy threshold, the epidemic situation neural network model can achieve a better prediction effect, and the training can be stopped. Wherein the accuracy threshold may be 80-95%.
The second aspect of the present invention discloses a duplicate and duplicate product analysis system 2, which includes a memory 21 and a processor 22, wherein the memory includes a duplicate and duplicate product analysis method program, and when the processor executes the duplicate and duplicate product analysis method program, the following steps are implemented:
acquiring population characteristic information, energy consumption information, emission information and consumption information in a preset area;
performing rework and production recovery analysis according to the population characteristic information, the energy consumption information, the emission information and the consumption information to obtain rework and production recovery indexes with a plurality of preset dimensions;
and sending the reworking and production-resuming indexes of the plurality of preset dimensions to a preset terminal for displaying.
The demographic information includes consumption characteristics, population movement characteristics, population composition characteristics, social relationship characteristics, living stability characteristics, working stability characteristics, interest distribution information, and the like of the population in the current area. The energy consumption information is consumption information of resources such as electric power, gas, water and the like in a preset area. The emission information is information of wastewater emission, exhaust emission, and the like in a preset area, wherein the exhaust emission may further include emission of carbon dioxide. The consumption information is consumption data of users in a preset area, and mainly refers to on-site consumption information. Firstly, population characteristic information, energy consumption information, emission information and consumption information in a preset area are obtained. And then, performing rework and production recovery analysis according to the population characteristic information, the energy consumption information, the emission information and the consumption information to obtain rework and production recovery indexes with a plurality of preset dimensions. The reworking and reworking indexes of different dimensions can be obtained through analysis of parameters of multiple dimensions, such as a working population reworking index, a traffic reworking index, a power reworking comprehensive index, a water reworking index, a takeaway reworking index, a logistics reworking index and the like. The rework and rework index analysis methods of each dimension may not be the same, for example, the rework index of the working population may be obtained by analyzing parameters such as population mobility characteristics and population composition characteristics in population characteristic information; the comprehensive index of the electric power complex production can be obtained by analyzing energy consumption information and emission information. Wherein, the method of each dimension analysis can be obtained by the person skilled in the art according to the big data comparison and statistical method in the prior art. After the rework and reproduction indexes of a plurality of preset dimensions are obtained, the rework and reproduction indexes of the plurality of preset dimensions are sent to a preset terminal for display.
According to the embodiment of the invention, the method further comprises the following steps:
acquiring population vaccination information in a preset area;
acquiring flow characteristic information in population characteristic information;
performing epidemic situation simulation analysis according to the population vaccination information and the flow characteristic information to obtain epidemic situation change trend information;
predicting a rework and reproduction index according to the epidemic situation change trend information to obtain a predicted rework and reproduction index;
and sending the predicted rework and production recovery index to a preset terminal.
It should be noted that, when performing rework and replication statistics, the auxiliary analysis can be performed through the dimension of population vaccination, and the higher the vaccination rate of population vaccination is, the more people with virus antibodies in the region are, the lower the possibility of preventing virus propagation is, and the lower the possibility of occurrence of the epidemic situation is, the rework and replication index will tend to the normal value. Firstly, population vaccination information in a preset area is obtained, and the population vaccination information can be obtained through a third party platform or a government affair platform. And then acquiring flow characteristic information in the population characteristic information, and performing epidemic situation simulation analysis according to the population vaccination information and the flow characteristic information to obtain epidemic situation change trend information. The stronger the mobility, the more the frequency and the number of people who show the business turn over region are, the more the epidemic situation risk can be, combined population vaccination information can go out the change trend information of epidemic situation in an analysis way. For example, if the mobility is high and the vaccination rate is low, the risk of subsequent epidemic is high. And after the change trend information of the epidemic situation is obtained, carrying out the prediction of the rework and reproduction index according to the change trend information of the epidemic situation to obtain the predicted rework and reproduction index. The prediction can be realized by adopting a prediction model in the prior art or by using a neural network model. And finally, sending the predicted rework and production recovery index to a preset terminal.
According to the embodiment of the invention, the epidemic situation simulation analysis is carried out according to the population vaccination information and the flow characteristic information, and specifically comprises the following steps:
and inputting the population vaccination information and the flow characteristic information into a preset epidemic situation neural network model to obtain epidemic situation change trend information.
It should be noted that, when the epidemic situation change trend analysis is performed, the simulation analysis can be performed by using the neural network model, and the epidemic situation neural network model is trained in advance, and data prediction is performed in an artificial intelligence mode, so that the prediction result is more accurate. The input information of the preset epidemic situation neural network model is human mouth vaccination information and flow characteristic information, and the output information is epidemic situation change trend information.
According to the embodiment of the invention, the method further comprises the following steps:
acquiring historical production information in a preset area;
establishing a data model according to the historical production information to obtain a reproduction model;
performing simulation analysis through the reproduction model to obtain a simulation reproduction index;
obtaining the rework and production recovery indexes of a plurality of preset dimensions;
comparing the rework and reproduction indexes of the preset dimensions with the simulation rework and reproduction indexes to obtain a difference rate;
and if the difference rate is greater than the preset difference rate threshold value, sending prompt information to a preset terminal.
It should be noted that, during rework and rework duplication, some of the employees in the enterprise often do not return to the factory, the electric lamp is turned on first, the electric meter is turned on, and the electric meter is turned on, so that the rework data is good-looking. In the process of reworking and reworking, some enterprises play digital games to deal with indexes issued by the superior. In order to deal with the water injection condition, the invention judges whether the water injection problem exists or not by carrying out simulation analysis on historical data. First, historical production information in a preset area is obtained, wherein the historical production information can comprise one or more of demographic information, energy consumption information, emission information and consumption information. And then establishing a data model for the historical production information to obtain a reproduction model. The model can be established by a model establishing method commonly used in the art, and a person skilled in the art can select a model establishing mode according to actual needs, for example, a logistic model can be selected. And after the reproduction model is established, carrying out simulation analysis through the reproduction model to obtain a simulation reproduction index. The current production parameters can be input through simulation analysis of the reproduction model, and a simulation index is obtained. The simulation rework and reproduction index comprises a rework and reproduction simulation value with multiple dimensions, and can be compared with the analyzed rework and reproduction indexes with multiple preset dimensions to obtain a difference rate, if the difference rate is too high, the fact that the rework and reproduction index obtained by current analysis has certain deviation and a water injection phenomenon possibly exists is shown, so that the simulation rework and reproduction index needs to be reported to a preset terminal. The difference rate threshold is set by a person skilled in the art according to actual needs, preferably set to 20%, that is, if the difference rate exceeds 20%, the report will be performed.
According to the embodiment of the invention, the method further comprises the following steps:
performing resource allocation through the rework and production index of a plurality of preset dimensions to obtain resource allocation information;
analyzing the correlation between the resource allocation information and the rework and production recovery indexes of a plurality of preset dimensions;
and if the correlation is negative, sending a prompt message to a preset terminal.
It should be noted that the society is a complex mechanism system, if every industry breaks away from a normal operation system, the operation of the whole society is stopped, resource allocation needs to be monitored in real time during the re-production, the re-production rate is gradually increased, and the re-production rate is gradually recovered to a normal state, so that certain links in the re-production process are prevented from breaking away from the expected track due to resource allocation problems. For example, rapid recovery of the manufacturing industry and unstable power resources can lead to the production capacity of the manufacturing industry being stagnated and wasting resources. Firstly, resource allocation is required to be carried out through the rework and production index of a plurality of preset dimensions, and the resource allocation comprises the contents of energy allocation, labor allocation, emission allocation, traffic allocation and the like. The proportion and the size of resource allocation can be obtained through the reworking and production-resuming indexes of each dimension. And after the resource allocation information is obtained, analyzing the correlation between the resource allocation information and the rework and production recovery indexes of a plurality of preset dimensions. The correlation indicates the degree of correlation between the two, if the correlation is positive, the two are increased together or decreased together, if the correlation is negative, the rework and rework indexes of a certain dimension are increased, and the corresponding resource allocation is decreased, so that resource waste is caused, and the rework and rework of the whole society is influenced. The correlation calculation may adopt a correlation calculation method in the prior art, and the present invention is not described in detail. Therefore, when such a situation is detected, the situation needs to be reported to a preset terminal.
According to the embodiment of the invention, the method further comprises the following steps:
acquiring population characteristic information of a preset special area, and analyzing to obtain population mobility characteristics and population composition characteristics of the preset special area;
analyzing according to the population mobility characteristics and population composition to obtain the operation rate of a special area;
judging whether the operation rate of the special area is positively correlated with the rework and production recovery indexes of a plurality of preset dimensions;
and if the correlation is negative, sending a prompt message to a preset terminal.
It is noted that in some special areas, for example, hospitals. When the epidemic situation, the mobility of the inside personnel of hospital can weaken, some departments can stop diagnosing even, and the number of in-patient of hospital can reduce, and carry out the management and control, through the control and the analysis to the special area like this of hospital, can be used for the supplementary result of judging the duplicate production, if the mobility of hospital is high, explain the visitor's of hospital to come and go, the population composition characteristic of the inside of hospital is less in the change of a period, then explain the hospital and carried out the management and control, the personnel that have restricted inside and outside flow, through the operating rate of special areas such as hospital, can indirectly obtain the degree of accuracy of duplicate production index. Firstly, acquiring population characteristic information of a preset special area, and analyzing to obtain population mobility characteristics and population composition characteristics of the preset special area. The preset special area is a preset position of a hospital and other areas, population mobility characteristics and population composition characteristics of the area are obtained, the population mobility characteristics are the conditions that a population enters and exits the area, the mobility is higher, the more the number of people entering and exiting the area is, the more frequently the population is, and the population composition characteristics show the composition proportion of people in the area, the age, the gender, the occupation and other composition conditions. And then analyzing according to the population mobility characteristics and population composition to obtain the operation rate of the special area, wherein the operation rate indicates the operation efficiency of the area, and the operation efficiency is higher than that of the epidemic situation under the normal state. The operation rate can be counted by combining the per-person efficiency and the resource utilization rate in the area, the operation rate is a technology commonly used in the field, and the invention is not described in detail any more. After the operation rate is obtained, it is necessary to determine whether the operation rate of the special area is positively correlated with the rework reproduction index of a plurality of preset dimensions. If the correlation is positive, the reworking and production-resuming indexes obtained by the previous operation are more accurate; if the correlation is negative, the fact that errors possibly exist in the reworking and reworking index obtained by the previous operation is shown, and prompt information needs to be sent to a preset terminal.
According to the embodiment of the invention, the training of the epidemic situation neural network model specifically comprises the following steps:
acquiring historical state data; preprocessing the historical state data to obtain a training array; sending the training array to an initialized neural network model for training; acquiring the error rate of the trained neural network model; and if the error rate is less than a preset error rate threshold value, stopping training to obtain a preset epidemic situation neural network model.
It should be noted that the historical state data is the oral vaccination information and the flow characteristic information, and the more the acquired historical data, the more accurate the trained neural network model. Firstly, after obtaining the historical state characteristic value, preprocessing is needed, and after preprocessing, a training data set is obtained. And then inputting the training data set into the initialized neural network model for training, wherein the training is automatic training, and the neural network model is finally obtained. And then test data are input, and the accuracy of the prediction result output by the epidemic situation neural network model is judged. And the prediction accuracy is compared with a preset accuracy threshold, if the prediction accuracy exceeds the accuracy threshold, the epidemic situation neural network model can achieve a better prediction effect, and the training can be stopped. Wherein the accuracy threshold may be 80-95%.
A third aspect of the present invention provides a computer-readable storage medium, where the computer-readable storage medium includes a duplicate production and duplicate production analysis method program, and when the duplicate production and duplicate production analysis method program is executed by a processor, the computer-readable storage medium implements the steps of the duplicate production and duplicate production analysis method described in any of the above.
According to the reworking and reworking analysis method, the reworking and reworking analysis system and the storage medium, the multi-dimensional reworking and reworking index is obtained through the analysis of population characteristic information, energy consumption information, emission information and consumption information, and epidemic situation change trend information can be obtained according to population mobility and vaccination information in an area so as to assist in judging the reworking and reworking index. The invention also analyzes the rework and reproduction index through angles such as historical data and resource allocation to verify the accuracy of the rework and reproduction index, improve the experience of use and provide powerful scientific and technological support.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all the functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or a part contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, a ROM, a RAM, a magnetic or optical disk, or various other media that can store program code.
Claims (10)
1. A rework and production recovery analysis method is characterized by comprising the following steps:
acquiring population characteristic information, energy consumption information, emission information and consumption information in a preset area;
performing rework and production recovery analysis according to the population characteristic information, the energy consumption information, the emission information and the consumption information to obtain rework and production recovery indexes with a plurality of preset dimensions;
and sending the reworking and production-resuming indexes of the plurality of preset dimensions to a preset terminal for displaying.
2. The rework and duplicate production analysis method of claim 1, further comprising:
acquiring population vaccination information in a preset area;
acquiring flow characteristic information in population characteristic information;
performing epidemic situation simulation analysis according to the population vaccination information and the flow characteristic information to obtain epidemic situation change trend information;
predicting a rework and reproduction index according to the epidemic situation change trend information to obtain a predicted rework and reproduction index;
and sending the predicted rework and production recovery index to a preset terminal.
3. The compound production and replication analysis method according to claim 2, wherein epidemic situation simulation analysis is performed according to the population vaccination information and the flow characteristic information, and specifically comprises the following steps:
and inputting the population vaccination information and the flow characteristic information into a preset epidemic situation neural network model to obtain epidemic situation change trend information.
4. The rework and duplicate production analysis method of claim 1, further comprising:
acquiring historical production information in a preset area;
establishing a data model according to the historical production information to obtain a reproduction model;
performing simulation analysis through the reproduction model to obtain a simulation reproduction index;
obtaining the rework and production recovery indexes of a plurality of preset dimensions;
comparing the rework and reproduction indexes of the preset dimensions with the simulation rework and reproduction indexes to obtain a difference rate;
and if the difference rate is greater than the preset difference rate threshold value, sending prompt information to a preset terminal.
5. The rework and duplicate production analysis method of claim 1, further comprising:
performing resource allocation through the rework and production index of a plurality of preset dimensions to obtain resource allocation information;
analyzing the correlation between the resource allocation information and the rework and production recovery indexes of a plurality of preset dimensions;
and if the correlation is negative, sending a prompt message to a preset terminal.
6. The rework and duplicate production analysis method of claim 1, further comprising:
acquiring population characteristic information of a preset special area, and analyzing to obtain population mobility characteristics and population composition characteristics of the preset special area;
analyzing according to the population mobility characteristics and population composition to obtain the operation rate of a special area;
judging whether the operation rate of the special area is positively correlated with the rework and production recovery indexes of a plurality of preset dimensions;
and if the correlation is negative, sending a prompt message to a preset terminal.
7. A compound work and compound production analysis system is characterized by comprising a memory and a processor, wherein the memory comprises a compound work and compound production analysis method program, and the compound work and compound production analysis method program realizes the following steps when being executed by the processor:
acquiring population characteristic information, energy consumption information, emission information and consumption information in a preset area;
performing rework and production recovery analysis according to the population characteristic information, the energy consumption information, the emission information and the consumption information to obtain rework and production recovery indexes with a plurality of preset dimensions;
and sending the reworking and production-resuming indexes of the plurality of preset dimensions to a preset terminal for displaying.
8. A duplex and duplicate production analysis system according to claim 7, further comprising:
acquiring population vaccination information in a preset area;
acquiring flow characteristic information in population characteristic information;
performing epidemic situation simulation analysis according to the population vaccination information and the flow characteristic information to obtain epidemic situation change trend information;
predicting a rework and reproduction index according to the epidemic situation change trend information to obtain a predicted rework and reproduction index;
and sending the predicted rework and production recovery index to a preset terminal.
9. The system for analyzing the rework and production recovery of claim 8, wherein the epidemic situation simulation analysis is performed according to the population vaccination information and the flow characteristic information, and specifically comprises:
and inputting the population vaccination information and the flow characteristic information into a preset epidemic situation neural network model to obtain epidemic situation change trend information.
10. A computer-readable storage medium, wherein the computer-readable storage medium includes a duplicate production and duplicate production analysis method program, and when the duplicate production and duplicate production analysis method program is executed by a processor, the steps of a duplicate production and duplicate production analysis method according to any one of claims 1 to 6 are implemented.
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