CN109816232B - Intelligent production management system - Google Patents

Intelligent production management system Download PDF

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CN109816232B
CN109816232B CN201910040764.6A CN201910040764A CN109816232B CN 109816232 B CN109816232 B CN 109816232B CN 201910040764 A CN201910040764 A CN 201910040764A CN 109816232 B CN109816232 B CN 109816232B
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CN109816232A (en
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尤伟
米玉峰
任卫华
付恩军
王帅
张理宾
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Shanxi Huiyong Qingfeng Coal Preparation Engineering Technology Co ltd
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Shanxi Huiyong Qingfeng Coal Preparation Engineering Technology Co ltd
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    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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    • Y02P90/30Computing systems specially adapted for manufacturing

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Abstract

The invention discloses an intelligent production management system, which comprises a data receiving module, a sorting module, a processor, a data analysis module, a data pushing module, a database, intelligent equipment, an alarm unit, a branch controller and a detection module, wherein the data receiving module is used for receiving data information, the data information comprises workload information, personal work efficiency information, material information, production quantity information, material consumption information and department information, and the production quantity information is used for expressing the material quantity actually consumed during production.

Description

Intelligent production management system
Technical Field
The invention belongs to the technical field of production management, relates to an intelligent management technology, and particularly relates to an intelligent production management system.
Background
Production management is a comprehensive management activity for planning, organizing, and controlling production activities. The content includes production planning, production organization, and production control. By reasonably organizing the production process, the production resources are effectively utilized, and the production activities are economically and reasonably carried out to achieve the expected production target.
Along with the development of social science and technology, an intelligent system also appears in production management, the production is intelligently managed, the time and the energy of a management layer are saved, the planning management is realized, through a production management module applying the system, an enterprise user can know the real-time production condition and the inventory condition of an enterprise at any time, the real-time tracking monitoring management is carried out on the production management process, the production cost can be effectively managed and controlled by an enterprise manager, the yield and the inventory information of produced products can be mastered in time, the problem can be timely found in the enterprise management, the solution can be quickly made, and the like.
Most of the existing intelligent production management systems monitor the whole management process and analyze and calculate the product yield and inventory of enterprises, but the existing intelligent production management systems do not have effective help for staff and cannot provide convenience for management layers and the staff at the same time.
Disclosure of Invention
The invention aims to provide an intelligent production management system.
The invention aims to solve the technical problems that most of the existing intelligent production management systems monitor the whole management process and analyze and calculate the product yield and the inventory of enterprises, but do not have effective help for staff and cannot provide convenience for a management layer and the staff at the same time;
the purpose of the invention can be realized by the following technical scheme: an intelligent production management system comprises a data receiving module, a classification and arrangement module, a processor, a data analysis module, a data pushing module, a database, intelligent equipment, an alarm unit, a sub-controller and a detection module;
the data receiving module is used for receiving data information, the data information comprises workload information, personal work efficiency information, material information, production quantity information, expense information and department information, the production quantity information is used for representing the material quantity actually consumed during production, the department information comprises department personnel number information and department number information, the data receiving module transmits the data information to the classification module, the classification module receives the data information transmitted by the data receiving module and carries out classification marking on the data information, and the specific classification marking process is as follows:
the method comprises the following steps: the classification and arrangement module acquires personal work efficiency information in the data information transmitted by the data receiving module, and marks the personal work efficiency information as Xi, i =1.. N;
step two: the classification and arrangement module acquires material information in the data information transmitted by the data receiving module, and marks the material information as Wi, i =1.. N;
step three: the classification and arrangement module acquires production information in the data information transmitted by the data receiving module, and marks the production information as Si, i =1.. N;
step four: the classification and sorting module acquires the cost information in the data information transmitted by the data receiving module, and marks the cost information as Hi, i =1.. N;
step five: the classification and arrangement module acquires department information in the data information transmitted by the data receiving module, and marks the department information as Bi, i =1.. N;
the system comprises a classification module, a processor, a data analysis module, a data storage module, a data processing module and a data processing module, wherein the classification module transmits classified data information to the processor, the processor receives the data information transmitted by the classification module and transmits the data information to the data analysis module, the database stores the identity information of each intelligent device, the identity information of the intelligent device is used for recording the department or individual to which each device belongs, the database transmits the internally stored identity information of the intelligent device to the data analysis module, and the data analysis module is used for analyzing and calculating the data information to obtain the quantity information of goods and materials = Wi/Mi/Ri and the resource consumption rate = Hi/Si distributed to the hands of people in different departments;
the data analysis module transmits data information to the processor, the processor receives the data information transmitted by the data analysis module and respectively transmits the data information to the data pushing module and the sub-controllers, the data pushing module automatically identifies identity information of the intelligent equipment, and the data pushing module receives the data information transmitted by the processor and pushes the data information to the corresponding intelligent equipment;
the sub-controllers receive data information and transmit the data information to the alarm unit, the detection module is used for detecting the working time information and the workload information of the staff, the detection module marks the working time information and the workload information of the staff and calculates the real-time working efficiency x = Gi/Ti of the staff;
the detection module transmits the real-time work efficiency of the staff to the sub-controllers, the sub-controllers receive the real-time work efficiency transmitted by the detection module and transmit the real-time work efficiency to the alarm unit, the alarm unit compares the real-time work efficiency with the personal work efficiency information, and judges whether the work time of the staff is overtime according to the comparison result, wherein the specific judgment process is as follows:
s1: when x is greater than Xi, judging that the working time of the employee cannot be overtime;
s2: when x is less than Xi, the working time of the employee is judged to be overtime, the alarm unit sends out an alarm, and the alarm is transmitted to the corresponding intelligent equipment to remind the employee.
Preferably, the data analysis module is configured to perform analysis and calculation on the data information, and the specific analysis and calculation process is as follows:
the method comprises the following steps: the distribution quantity of the materials is calculated according to the data information received by the analysis module, and the calculation process is as follows:
s1, a data analysis module acquires department number information in the department information, and marks the department number information as Mi, i =1.. N;
s2, the data analysis module acquires department personnel number information in the department information, and the department personnel number information Ri, i =1.. N, mi and Ri correspond to each other one by one;
s3, calculating the quantity of the materials distributed to each department = Wi/Mi according to the material information and the number information of the departments, and calculating the quantity of the materials distributed to the staff of different departments according to the quantity of the materials distributed to each department and the number information of the staff of the departments = Wi/Mi/Ri;
step two: calculating resource consumption rate = Hi/Si according to the production quantity information and the expenditure information;
step three: and acquiring identity information of the intelligent equipment transmitted by the database, and marking the identity information of the intelligent equipment as Fi, i =1.
Preferably, the detection module marks the working time information and the workload information of the employee, and the specific marking and calculating process is as follows:
the method comprises the following steps: the detection module marks the detected working time information as Ti, i =1.. N;
step two: the detection module marks the detected workload information as Gi, i =1.. N;
step three: and the detection module calculates the real-time working efficiency x = Gi/Ti of the employee according to the detected working time information and the workload information.
Preferably, the data receiving module is in communication connection with the classification and arrangement module, the classification and arrangement module is in communication connection with the processor, the processor is in communication connection with the data analysis module, the data pushing module is in communication connection with the processor, the sub-controller is in communication connection with the processor, the detection module is in communication connection with the sub-controller, the alarm unit is in communication connection with the sub-controller, the intelligent device is in communication connection with the alarm unit and the data pushing module respectively, and the database is in communication connection with the data analysis module and the intelligent device respectively.
Preferably, the intelligent device is specifically an intelligent tablet computer.
The invention has the beneficial effects that:
(1) The data receiving module is used for receiving data information, the data receiving module transmits the data information to the classification and arrangement module, the classification and arrangement module receives the data information transmitted by the data receiving module and carries out classification and marking on the data information, and the data information received by the data receiving module and transmitted to the classification and arrangement module is marked through the arrangement of the classification and arrangement module, so that the data information is transmitted and stored orderly, the lookup time is saved, and the working efficiency is improved.
(2) The data information after classification and sorting is transmitted to the processor through the classification and sorting module, the processor receives the data information transmitted by the classification and sorting module and transmits the data information to the data analysis module, the database transmits the identity information of the intelligent equipment stored in the database to the data analysis module, the data analysis module is used for analyzing and calculating the data information to obtain the material quantity information and the resource consumption rate distributed to the personnel in different departments, the data analysis module transmits the analyzed data information to the processor, the processor receives the data information transmitted by the data analysis module and respectively transmits the data information to the data pushing module, the data pushing module automatically identifies the identity information of the intelligent equipment, the data pushing module receives the data information transmitted by the processor and pushes the data information to the corresponding intelligent equipment, through the arrangement of the analysis module and the intelligent equipment, the information of the material quantity information and the resource consumption rate can be conveniently calculated, the material quantity information and the resource consumption rate can be transmitted to the intelligent equipment, the work and management of employees and managers can be conveniently carried out, the time for artificially transmitting the information can be saved, the phenomenon that the employees can be conveniently left over the work information, the work efficiency can be conveniently improved, and the work efficiency can be improved.
(3) The detection module is used for detecting the working time information and the working amount information of the staff, the detection module marks the working time information and the working amount information of the staff and calculates the real-time working efficiency of the staff, the detection module transmits the real-time working efficiency of the staff to the sub-controller, the sub-controller receives the real-time working efficiency transmitted by the detection module and transmits the real-time working efficiency to the alarm unit, the alarm unit judges whether the working time of the staff is overtime according to a comparison result to make corresponding processing, through the arrangement of the detection module and the alarm unit, the judgment on the working efficiency of the staff is facilitated, the staff is reminded of paying attention to the time, the situation that the order cannot be completed due to overtime order making is prevented, and the loss is brought to a company.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
As shown in fig. 1, an intelligent production management system includes a data receiving module, a sorting module, a processor, a data analyzing module, a data pushing module, a database, an intelligent device, an alarm unit, a sub-controller, and a detecting module;
the data receiving module is used for receiving data information, the data information comprises workload information, personal work efficiency information, material information, production quantity information, expense information and department information, the production quantity information is used for representing the material quantity actually consumed during production, the department information comprises department personnel number information and department number information, the data receiving module transmits the data information to the classification module, the classification module receives the data information transmitted by the data receiving module and carries out classification marking on the data information, and the specific classification marking process is as follows:
the method comprises the following steps: the classification and arrangement module acquires personal work efficiency information in the data information transmitted by the data receiving module, and marks the personal work efficiency information as Xi, i =1.. N;
step two: the classification and arrangement module acquires material information in the data information transmitted by the data receiving module, and marks the material information as Wi, i =1.. N;
step three: the classification and arrangement module acquires production information in the data information transmitted by the data receiving module, and marks the production information as Si, i =1.. N;
step four: the classification and sorting module acquires the cost information in the data information transmitted by the data receiving module, and marks the cost information as Hi, i =1.. N;
step five: the classification and arrangement module acquires department information in the data information transmitted by the data receiving module, and marks the department information as Bi, i =1.. N;
the system comprises a classification module, a processor, a data analysis module, a data storage module, a data processing module and a data processing module, wherein the classification module transmits classified data information to the processor, the processor receives the data information transmitted by the classification module and transmits the data information to the data analysis module, the database stores the identity information of each intelligent device, the identity information of the intelligent device is used for recording the department or individual to which each device belongs, the database transmits the internally stored identity information of the intelligent device to the data analysis module, and the data analysis module is used for analyzing and calculating the data information to obtain the quantity information of goods and materials = Wi/Mi/Ri and the resource consumption rate = Hi/Si distributed to the hands of people in different departments;
the data analysis module transmits data information to the processor, the processor receives the data information transmitted by the data analysis module and respectively transmits the data information to the data pushing module and the sub-controllers, the data pushing module automatically identifies identity information of the intelligent equipment, and the data pushing module receives the data information transmitted by the processor and pushes the data information to the corresponding intelligent equipment;
the sub-controllers receive data information and transmit the data information to the alarm unit, the detection module is used for detecting the working time information and the workload information of the staff, the detection module marks the working time information and the workload information of the staff and calculates the real-time working efficiency x = Gi/Ti of the staff;
the detection module transmits the real-time work efficiency of the staff to the sub-controllers, the sub-controllers receive the real-time work efficiency transmitted by the detection module and transmit the real-time work efficiency to the alarm unit, the alarm unit compares the real-time work efficiency with the personal work efficiency information, and judges whether the work time of the staff is overtime according to the comparison result, wherein the specific judgment process is as follows:
s1: when x is greater than Xi, judging that the working time of the employee cannot be overtime;
s2: when x is less than Xi, the working time of the employee is judged to be overtime, the alarm unit sends out an alarm, and the alarm is transmitted to the corresponding intelligent equipment to remind the employee.
The data analysis module is used for analyzing and calculating data information, and the specific analyzing and calculating process is as follows:
the method comprises the following steps: the distribution quantity of the materials is calculated according to the data information received by the analysis module, and the calculation process is as follows:
s1, a data analysis module acquires department number information in the department information, and marks the department number information as Mi, i =1.. N;
s2, the data analysis module acquires department personnel number information in the department information, and the department personnel number information Ri, i =1.. N, mi and Ri correspond to each other one by one;
s3, calculating the quantity of the materials distributed to each department = Wi/Mi according to the material information and the number information of the departments, and calculating the quantity of the materials distributed to the staff of different departments according to the quantity of the materials distributed to each department and the number information of the staff of the departments = Wi/Mi/Ri;
step two: calculating resource consumption rate = Hi/Si according to the production quantity information and the expenditure information;
step three: and acquiring identity information of the intelligent equipment transmitted by the database, and marking the identity information of the intelligent equipment as Fi, i =1.
The detection module marks the working time information and the workload information of the staff, and the specific marking and calculating processes are as follows:
the method comprises the following steps: the detection module marks the detected working time information as Ti, i =1.. N;
step two: the detection module marks the detected workload information as Gi, i =1.. N;
step three: and the detection module calculates the real-time working efficiency x = Gi/Ti of the employee according to the detected working time information and the workload information.
The data receiving module is in communication connection with the classification and arrangement module, the classification and arrangement module is in communication connection with the processor, the processor is in communication connection with the data analysis module, the data pushing module is in communication connection with the processor, the sub-controller is in communication connection with the processor, the detection module is in communication connection with the sub-controller, the alarm unit is in communication connection with the sub-controller, the intelligent device is in communication connection with the alarm unit and the data pushing module respectively, and the database is in communication connection with the data analysis module and the intelligent device respectively.
The intelligent device is specifically an intelligent tablet computer.
When the intelligent production management system works, the data receiving module is used for receiving data information, the data receiving module transmits the data information to the classification and arrangement module, the classification and arrangement module receives the data information transmitted by the data receiving module and carries out classification marking on the data information, the classification and arrangement module transmits the classified and arranged data information to the processor, the processor receives the data information transmitted by the classification and arrangement module and transmits the data information to the data analysis module, the database transmits the identity information of intelligent equipment stored inside to the data analysis module, the data analysis module is used for carrying out analysis calculation on the data information to obtain material quantity information and resource consumption rate distributed to personnel in different departments, the data analysis module transmits the analyzed data information to the processor, the processor receives the data information transmitted by the data analysis module and transmits the data information to the data pushing module respectively, the data pushing module automatically identifies the identity information of the intelligent equipment, the data pushing module receives the data information transmitted by the processor and pushes the data information to corresponding intelligent equipment, the detection module is used for detecting the working time information and the working capacity information of the personnel, the detection module carries out real-time detection on the working time information of the working time and working efficiency of the working information of the personnel, the working efficiency of the detection module and controls the working efficiency of the working equipment to be transmitted by the working efficiency detection module in real-time, and controls the working efficiency detection module to be transmitted by the working efficiency detection module, and control unit, and the working efficiency detection module to carry out real-time detection unit.
According to the invention, the data receiving module is used for receiving data information, the data receiving module transmits the data information to the classification and arrangement module, the classification and arrangement module receives the data information transmitted by the data receiving module and carries out classification and marking on the data information, and the data information received by the data receiving module and transmitted to the classification and arrangement module is marked through the arrangement of the classification and arrangement module, so that the data information is transmitted and stored orderly, the lookup time is saved, and the working efficiency is improved.
Meanwhile, the data information after classified arrangement is transmitted to the processor by the classified arrangement module, the processor receives the data information transmitted by the classified arrangement module and transmits the data information to the data analysis module, the database transmits the identity information of the intelligent equipment stored in the database to the data analysis module, the data analysis module is used for analyzing and calculating the data information to obtain the quantity information and the resource consumption rate of the goods and materials distributed to the hands of different departments, the data analysis module transmits the analyzed data information to the processor, the processor receives the data information transmitted by the data analysis module and respectively transmits the data information to the data pushing module, the data pushing module automatically identifies the identity information of the intelligent equipment, the data pushing module receives the data information transmitted by the processor and pushes the data information to the corresponding intelligent equipment, the quantity information and the resource consumption rate of the goods and materials are conveniently calculated by the arrangement of the analysis module and the intelligent equipment, the quantity information and the resource consumption rate of the goods and materials are transmitted to the intelligent equipment, the staff and the managers can conveniently work and manage, the time for artificially transmitting the information is saved, the phenomenon of the staff easily, the work information is conveniently forgotten to be left, and the work efficiency is improved.
The detection module is used for detecting the working time information and the working amount information of the staff, the detection module marks the working time information and the working amount information of the staff and calculates the real-time working efficiency of the staff, the detection module transmits the real-time working efficiency of the staff to the sub-controllers, the sub-controllers receive the real-time working efficiency transmitted by the detection module and transmit the real-time working efficiency to the alarm unit, the alarm unit judges whether the working time of the staff is overtime according to a comparison result to make corresponding processing, through the arrangement of the detection module and the alarm unit, the judgment on the working efficiency of the staff is facilitated, the staff is reminded of paying attention to the time, the situation that the order cannot be completed due to overtime order making is prevented, and the loss is brought to a company.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.

Claims (4)

1. An intelligent production management system is characterized by comprising a data receiving module, a classification and arrangement module, a processor, a data analysis module, a data pushing module, a database, intelligent equipment, an alarm unit, a sub-controller and a detection module;
the data receiving module is used for receiving data information, the data information comprises workload information, personal work efficiency information, material information, production quantity information, expense information and department information, the production quantity information is used for representing the material quantity actually consumed during production, the department information comprises department personnel number information and department number information, the data receiving module transmits the data information to the classification module, the classification module receives the data information transmitted by the data receiving module and carries out classification marking on the data information, and the specific classification marking process is as follows:
the method comprises the following steps: the classification and arrangement module acquires personal work efficiency information in the data information transmitted by the data receiving module, and marks the personal work efficiency information as Xi, i =1.. N;
step two: the classification and arrangement module acquires material information in the data information transmitted by the data receiving module, and marks the material information as Wi, i =1.. N;
step three: the classification and arrangement module acquires production information in the data information transmitted by the data receiving module, and marks the production information as Si, i =1.. N;
step four: the classification and sorting module acquires the consumption information in the data information transmitted by the data receiving module, and marks the consumption information as Hi, i =1.. N;
step five: the classification and arrangement module acquires department information in the data information transmitted by the data receiving module, and marks the department information as Bi, i =1.. N;
the system comprises a classification module, a processor, a data analysis module, a data storage module, a data processing module and a data processing module, wherein the classification module transmits classified data information to the processor, the processor receives the data information transmitted by the classification module and transmits the data information to the data analysis module, the database stores the identity information of each intelligent device, the identity information of the intelligent device is used for recording the department or individual to which each device belongs, the database transmits the internally stored identity information of the intelligent device to the data analysis module, and the data analysis module is used for analyzing and calculating the data information to obtain the quantity information of goods and materials = Wi/Mi/Ri and the resource consumption rate = Hi/Si distributed to the hands of people in different departments;
the data analysis module transmits data information to the processor, the processor receives the data information transmitted by the data analysis module and respectively transmits the data information to the data pushing module and the sub-controllers, the data pushing module automatically identifies identity information of the intelligent equipment, and the data pushing module receives the data information transmitted by the processor and pushes the data information to the corresponding intelligent equipment;
the sub-controllers receive data information and transmit the data information to the alarm unit, the detection module is used for detecting the working time information and the workload information of the staff, the detection module marks the working time information and the workload information of the staff and calculates the real-time working efficiency x = Gi/Ti of the staff;
the detection module transmits the real-time work efficiency of the staff to the sub-controllers, the sub-controllers receive the real-time work efficiency transmitted by the detection module and transmit the real-time work efficiency to the alarm unit, the alarm unit compares the real-time work efficiency with the personal work efficiency information, and judges whether the work time of the staff is overtime according to the comparison result, wherein the specific judgment process is as follows:
s1: when x is greater than Xi, judging that the working time of the employee cannot be overtime;
s2: when x is less than Xi, judging that the working time of the employee is overtime, sending an alarm by the alarm unit, transmitting the alarm to corresponding intelligent equipment, and reminding the employee;
the data analysis module is used for analyzing and calculating data information, and the specific analyzing and calculating process is as follows:
the method comprises the following steps: the distribution quantity of the materials is calculated according to the data information received by the analysis module, and the calculation process is as follows:
s1, a data analysis module acquires department number information in the department information, and marks the department number information as Mi, i =1.. N;
s2, the data analysis module acquires department personnel number information in the department information, and the department personnel number information Ri, i =1.. N, mi and Ri correspond to each other one by one;
s3, calculating the quantity of the materials distributed to each department = Wi/Mi according to the material information and the number information of the departments, and calculating the quantity of the materials distributed to the staff of different departments according to the quantity of the materials distributed to each department and the number information of the staff of the departments = Wi/Mi/Ri;
step two: calculating resource consumption rate = Hi/Si according to the production quantity information and the expenditure information;
step three: and acquiring identity information of the intelligent equipment transmitted by the database, and marking the identity information of the intelligent equipment as Fi, i =1.
2. The intelligent production management system according to claim 1, wherein the detection module marks the working time information and the workload information of the staff, and the specific marking and calculating processes are as follows:
the method comprises the following steps: the detection module marks the detected working time information as Ti, i =1.. N;
step two: the detection module marks the detected workload information as Gi, i =1.. N;
step three: and the detection module calculates the real-time working efficiency x = Gi/Ti of the employee according to the detected working time information and the workload information.
3. The intelligent production management system according to claim 1, wherein the data receiving module is communicatively coupled to the sorting module, the sorting module is communicatively coupled to the processor, the processor is communicatively coupled to the data analyzing module, the data pushing module is communicatively coupled to the processor, the sub-controller is communicatively coupled to the processor, the detecting module is communicatively coupled to the sub-controller, the alarming unit is communicatively coupled to the sub-controller, the intelligent device is communicatively coupled to the alarming unit and the data pushing module, respectively, and the database is communicatively coupled to the data analyzing module and the intelligent device, respectively.
4. The intelligent production management system of claim 1, wherein the intelligent device is specifically an intelligent tablet computer.
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