CN117391411B - Product processing management system based on IOT (internet of things) - Google Patents
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Abstract
The invention relates to the technical field of product processing management, and particularly discloses a product processing management system based on the IOT, which comprises a product processing data acquisition module, a product processing data analysis module, a product processing management module and an IOT management database.
Description
Technical Field
The invention relates to the technical field of product processing management, in particular to a product processing management system based on the IOT.
Background
The comprehensive evaluation of product processing management is an important way for knowing the current product processing management level, the comprehensive evaluation is carried out on the product processing management, intelligent planning prompt is carried out on the product processing, the improvement of the product processing efficiency and the product quality is facilitated, meanwhile, the discovery of the inefficiency phenomenon is facilitated, further, the production efficiency of equipment is improved by adopting corresponding measures, and the factors for analyzing and processing the product processing are limited, so that the information on the whole production chain cannot be comprehensively and accurately analyzed, the comprehensive grasp of the production process is influenced, the fact that production management staff cannot make decisions in time is possibly caused, and the management and control flexibility and response speed of production are influenced.
For example, bulletin numbers: the invention patent of CN115601177B discloses an intelligent contract generation method based on a whole process management model of animal product cultivation processing, which belongs to the technical field of data structure verification and data storage in the field of block chains, and comprises the following steps: the method can rapidly develop and verify similar structure intelligent contracts of the same type of animal products and the same type of production operation in batches, and the intelligent contracts can be deployed in a one-key uplink manner after the encoding is completed, so that the development efficiency is improved, and the labor time cost of development investment is reduced; the intelligent contract verification based on the standardized structure can reduce the operation load of the server and the blocking condition of the request queue, improve the use energy efficiency of the infrastructure and provide more efficient and quick traceability query service.
For example, bulletin numbers: the invention patent of CN111681069B discloses an intelligent manufacturing system and method for personalized product production in jewelry industry, comprising the following steps: the client transmits the order information to a product data management system; the product data management system transmits the parameters of the product processing and production equipment to the production simulation system; the production simulation system predicts delivery time and transmits the delivery time to the client, and transmits order information to the production ordering system; the production ordering system orders the orders; the production management system binds the order with the RFID and controls the production flow; the production equipment processes and produces products according to the RFID numbers; the data acquisition monitoring system acquires the state information of processing and production to the production management system; the production management system receives and transmits the status information of the processing production to the client. The scheme can realize customization, process automation and production intellectualization of products and improve production efficiency.
Today, product processing management systems based on the internet of things have some drawbacks, in particular: the comprehensive evaluation of the current product processing management is limited to the technology update speed of the product processing management and the cost consideration of the initial investment of enterprises, influences of factors such as product data and equipment operation data on steady-state conditions of the product processing management are ignored, the comprehensive evaluation of the product processing management is possibly different from the actual conditions, the product processing management cannot be planned timely, prediction errors are possibly generated in the product processing management of the next period, and the reduction of the product processing efficiency and the product quality and the increase of the input cost are indirectly caused.
In summary, the product processing management system based on the Internet of things effectively integrates data in the production process, and aims to improve enterprise competitiveness and customer satisfaction through comprehensive analysis and planning guidance on product processing management.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a product processing management system based on the IOT, which can effectively solve the problems related to the background technology.
In order to achieve the above purpose, the invention is realized by the following technical scheme: a product processing management system based on IOT internet of things, comprising: and the product processing data acquisition module is used for acquiring product processing data.
And the product processing data analysis module is used for analyzing the product processing data and comprehensively evaluating the product processing steady-state value.
And the product processing management module is used for carrying out intelligent planning prompt on product processing.
And the Internet of things management database is used for storing the product processing management parameters.
As a further scheme, the product processing management parameters specifically include: the product reference production quantity, reference raw material consumption, qualified product reference output, defective product definition quantity, reference accumulated input production cost, product definition total sales, reference accumulated income amount, equipment operation power reference stable curve graph, equipment reference accumulated electricity consumption amount, equipment reference electricity consumption amount rate, equipment operation noise reference decibel value, allowable deviation noise decibel value, equipment reference maintenance total times and equipment single maintenance definition input time in the production period.
As a further scheme, the product processing data analysis module further comprises a product data analysis unit and a device operation data analysis unit, wherein the product data analysis unit is used for analyzing and processing product data and calculating a first characteristic value of product processing, and the device operation data analysis unit is used for analyzing and processing device operation data and calculating a second characteristic value of product processing.
As a further scheme, the comprehensive evaluation product processing steady-state value has the following specific expression:in the formula->Processing steady state values for the product,/->、/>A first characteristic value for product processing and a second characteristic value for product processing, respectively, < >>、/>And the weight factors of the first characteristic value and the second characteristic value of the product processing are set in sequence.
As a further scheme, the product processes the first characteristic value, and the specific analysis process is as follows: according to the collected product data, the total quantity of product processing output in each production period is extracted, a first characteristic value of product processing is calculated, and a calculation formula is as follows:wherein->Processing a first characteristic value for the product, < >>、/>Total number of product processing outputs in the j-th production cycle and reference production number of periodic products respectively，/>Evaluation value of comprehensive benefit for product processing in each production cycle,/->、/>Compensating factors of the set production quantity and the product processing efficiency evaluation value, respectively, +.>For the number of each production cycle>，/>For the production cycle number->Is a natural constant.
As a further scheme, the comprehensive benefit evaluation value of the product processing in each production period is specifically analyzed as follows: counting the consumption of raw materials, qualified product yield and defective product quantity in each production period from the product data, and respectively marking as、/>、/>Calculating an evaluation value of product processing efficiency in each production period, wherein the expression is as follows:wherein->For the j-th production cycleProduct processing efficiency evaluation value in +.>、/>、/>Reference raw material consumption, qualified product reference yield and defective product definition quantity in production cycle respectively, +.>、/>、/>Respectively set compensation factors of raw material consumption, qualified product yield and defective product quantity.
The accumulated input production cost, the total sales of the product and the accumulated income in each production period are counted from the product data, and the evaluation value of the processing benefit of the product in each production period is calculated according to the following calculation formula:wherein->For the product processing benefit evaluation value in the j-th production cycle,/>、/>、/>Respectively, the j-th production period is integrated with the input production cost, the total sales of the product and the accumulated income amount,/->、/>、/>Respectively defining total sales of products and reference accumulated income in production period by reference accumulated input production cost and product and reference accumulated income>、/>、/>Compensation factors defining total sales for the set cumulative production costs, products and reference cumulative profit margin, respectively +.>Correction factor for the set product-processing-benefit evaluation value, +.>Is a natural constant.
The comprehensive benefit evaluation value of the product processing in each production period is analyzed, and the specific calculation formula is as follows:wherein->、/>Correction factors of the set product processing efficiency evaluation value and the set product processing benefit evaluation value, respectively, ++>Is a natural constant.
As a further scheme, the product processes the second characteristic value, and the specific analysis process is as follows: according to the arrangement of collectionAnd (3) extracting equipment effective operation time and total operation time in each production period from the equipment operation data, and calculating a second characteristic value of product processing, wherein a calculation formula is as follows:wherein->Processing a second characteristic value for the product, +.>、/>The effective operating time and the total operating time of the device in the jth production cycle, respectively, +.>、/>Evaluation value of electric energy consumption of the plant and evaluation value of stability of operation of the plant in each production cycle are respectively +.>、/>、/>Compensation factors of the set device effective operation time duty ratio, the device electric energy consumption evaluation value and the device operation stability evaluation value are respectively +.>For the numbering of each production cycle,，/>for the production cycle number->Is a natural constant.
As a further scheme, the device electric energy consumption evaluation value in each production period comprises the following specific analysis processes: and extracting equipment electrical data from the collected equipment operation data, wherein the equipment electrical data comprises equipment operation power peak-valley difference, accumulated electricity consumption and equipment operation power fluctuation curves in each production cycle.
According to the peak-valley difference of the running power of the equipment in each production periodAnd a device operation power fluctuation curve, and according to the device operation power reference stable curve in the management database of the Internet of things, extracting the coincident curve length by coincident verification, and recording as +.>And extracting the device operating power reference plateau length +.>。
Calculating an equipment operation power evaluation value in each production period according to the expression:wherein->Operating power evaluation value for the device in the j-th production cycle, for example>Defining peak-valley difference for device operation power period in production period, +.>For the set coincidence curve length to account for the reference threshold, +.>And (5) compensating the peak-to-valley load difference of the set equipment operation power.
According to the accumulated electricity consumption and the effective running time of the equipment in each production cycle, calculating an equipment electric energy consumption evaluation value in each production cycle, wherein the calculation formula is as follows:wherein->For the device power consumption evaluation value in the j-th production cycle,/th>、/>Respectively the effective running time and the accumulated electricity consumption of the equipment in the jth production period,reference accumulated electricity consumption of the device in the production cycle, < >>Reference to the power consumption rate for the device, < >>、/>And respectively setting compensation factors of the equipment power consumption rate and the equipment accumulated power consumption.
The equipment electric energy consumption evaluation value in each production period is analyzed, and a specific calculation formula is as follows:wherein->、/>Correction factors for the set operating power of the device, the estimated value of the electrical energy consumption, respectively +.>Is a natural constant.
As a further scheme, the equipment operation stability evaluation value in each production period comprises the following specific analysis processes: and extracting the average operating noise decibel value, the highest operating noise decibel value, the total maintenance times and the time for each maintenance of the equipment in each production period from the collected equipment operating data.
Analyzing a first operation evaluation value of equipment in each production period, wherein a specific calculation formula is as follows:wherein->For the first operating evaluation value of the device in the jth production cycle, < >>Decibel value of average running noise in jth production cycle +.>For the highest operating noise decibel value in the jth production cycle,、/>respectively, the reference decibel value and the allowable deviation noise decibel value of the equipment operation noise in the production period are +.>、/>And the compensation factors are respectively set average operating noise decibel values and equipment operating noise reference decibel values.
Analyzing a second operation evaluation value of the equipment in each production period, wherein the specific calculation formula is as follows:wherein->For the second operating evaluation value of the device in the jth production cycle, +>、The total number of maintenance of the equipment and the time of the input of the maintenance of the nth production period are respectively +.>、/>Respectively, for a defined input time of a total number of maintenance references and a single maintenance of the equipment in a production cycle, +.>、/>Operating evaluation influencing factors of the set total number of maintenance operations of the device and the single maintenance time of the device, +.>Number maintained for each device +.>，/>The number represents the number of times for the equipment maintenance.
And analyzing equipment operation stability evaluation values in each production period, wherein a specific calculation formula is as follows:wherein->、/>Correction factors of the first operating evaluation value of the device and the second operating evaluation value of the device, respectively,/-are set up>Is a natural constant.
As a further scheme, the intelligent planning prompt is carried out on the product processing, and the specific analysis process is as follows: according to the product processing steady state value, comparing the product processing steady state value with a set product processing steady state reference value, and if the product processing steady state value is lower than the product processing steady state reference value: and extracting a first characteristic value of product processing, comparing the first characteristic value with a set first characteristic threshold value, and generating a product optimization label to prompt when the first characteristic value of product processing is lower than the first characteristic threshold value.
And simultaneously extracting a second characteristic value of product processing, comparing the second characteristic value with a set second characteristic threshold value, and generating an equipment optimization label for prompting when the second characteristic value of product processing is lower than the second characteristic threshold value.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects: (1) According to the product processing management system based on the IOT, influences of factors such as product data, product processing equipment operation data and the like on steady-state conditions of product processing are considered, comprehensive consideration is carried out on the whole product processing management process, the fact that product processing is actually carried out can be reflected through comprehensive evaluation by considering that product processing management is influenced by multiple factors, steady-state values of the whole product processing management can be comprehensively evaluated, and improvement of product processing efficiency and product quality and reduction of cost are facilitated.
(2) The invention is beneficial to guiding the planning direction of the product processing management by related personnel by analyzing the comprehensive evaluation value of the product processing, determines the direction and strategy of the preferential planning of the product processing management, is beneficial to improving the competitiveness of enterprises and ensures the satisfaction degree of the product purchasing users.
Drawings
The invention will be further described with reference to the accompanying drawings, in which embodiments do not constitute any limitation of the invention, and other drawings can be obtained by one of ordinary skill in the art without inventive effort from the following drawings.
Fig. 1 is a schematic diagram of a system module connection according to the present invention.
Detailed Description
The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, but not all embodiments, and all other embodiments obtained by those skilled in the art without making creative efforts based on the embodiments of the present invention are included in the protection scope of the present invention.
Referring to fig. 1, an embodiment of the present invention provides a technical solution of a product processing management system based on IOT internet of things: a product processing management system based on the IOT comprises a product processing data acquisition module, a product processing data analysis module, a product processing management module and an IOT management database.
The product processing data acquisition module is connected with the product processing data analysis module, the product processing data analysis module is connected with the product processing management module, and the Internet of things management database is connected with the product processing data analysis module.
The product processing data acquisition module is used for acquiring product processing data.
The product processing data analysis module is used for analyzing the product processing data and comprehensively evaluating the product processing steady-state value.
Specifically, the product processing data analysis module further comprises a product data analysis unit and a device operation data analysis unit, wherein the product data analysis unit is used for analyzing and processing product data and calculating a first characteristic value of product processing, and the device operation data analysis unit is used for analyzing and processing device operation data and calculating a second characteristic value of product processing.
Further, the specific expression of the comprehensive evaluation product processing steady state value is as follows:in the formula->Processing steady state values for the product,/->、/>A first characteristic value for product processing and a second characteristic value for product processing, respectively, < >>、And the weight factors of the first characteristic value and the second characteristic value of the product processing are set in sequence.
It should be noted that, in the production process, the steady state value of product processing refers to a relatively stable state of each key parameter, which generally indicates that the product processing is operated in a relatively balanced and stable state, each production link and parameter are in a controllable range, and in the product processing management, the steady state value is an important reference index, because it reflects the normal operation state of the production process, once the steady state value is reached, the product processing can more reliably meet the requirements of product quality, production efficiency and production plan, and the determination of the steady state value usually needs to be achieved by monitoring and analyzing the key parameters in the production process, which may relate to the operation state of the production equipment, the quality of raw materials, etc., and by real-time data acquisition and monitoring, production management personnel can track the changes of these parameters and ensure that they fluctuate in a controllable range, so that the stability and optimization of the production process can be better achieved.
Specifically, the product processes a first characteristic value, which is specifically analyzedThe process is as follows: according to the collected product data, the total quantity of product processing output in each production period is extracted, a first characteristic value of product processing is calculated, and a calculation formula is as follows:wherein->Processing a first characteristic value for the product, < >>、/>Total number of product processing outputs and reference number of periodic products in the j-th production period, respectively,/production period>Evaluation value of comprehensive benefit for product processing in each production cycle,/->、/>Compensating factors of the set production quantity and the product processing efficiency evaluation value, respectively, +.>For the number of each production cycle>，/>For the production cycle number->Is a natural constant.
It should be noted that, by detecting the production quantity in the production cycle, the above-mentioned method has the advantages that the larger production quantity means that more products can be completed in the same time cycle, thus improving the production efficiency and yield, the larger product quantity generally means higher scale economic benefit, and further helps to reduce the unit product cost, because the sharing effect of the fixed cost is larger, the production cost of each product may be reduced by sharing the fixed cost, the production quantity is increased, not only helps enterprises to better meet market demands, but also reduces the order retention time, increases the delivery speed, improves customer satisfaction, and continues the production process with high yield to help to enhance the production capacity and efficiency of enterprises, promote the sustainable development and growth of enterprises, the disadvantage is that huge stress may be brought to production lines and operators, which may lead to fatigue and errors, enterprises may face challenges of quality control when pursuing high production quantities, if details are not noted, excessive pursuit of quantities may lead to quality problems such as defective products and damages, which may lead to reduction of proportion of qualified products, large production quantities may lead to stock backlog problems, particularly in case of sales and market demands not being kept up in time, excessive stock means challenges of capital occupation and stock management, and may cause large loads on equipment and machines, increasing equipment failure and maintenance risk, so enterprises need to comprehensively consider factors such as production efficiency, quality control, stock management, equipment load and the like when considering production quantities to balance productivity and demands, optimize production process, the modest production volume finds a balance between achieving efficient capacity and meeting market demands.
Specifically, the comprehensive benefit evaluation value of the product processing in each production period is specifically analyzed as follows: counting the consumption of raw materials, qualified product yield and defective product quantity in each production period from the product data, and respectively marking as、、/>Calculating an evaluation value of product processing efficiency in each production period, wherein the expression is as follows:wherein->For the product processing efficiency evaluation value in the j-th production cycle,/th production cycle>、/>、/>Reference raw material consumption, qualified product reference yield and defective product definition quantity in production cycle respectively, +.>、/>、/>Respectively set compensation factors of raw material consumption, qualified product yield and defective product quantity.
The accumulated input production cost, the total sales of the product and the accumulated income in each production period are counted from the product data, and the evaluation value of the processing benefit of the product in each production period is calculated according to the following calculation formula:wherein->For the product processing benefit evaluation value in the j-th production cycle,/>、/>、/>Respectively, the j-th production period is integrated with the input production cost, the total sales of the product and the accumulated income amount,/->、/>、/>Respectively defining total sales of products and reference accumulated income in production period by reference accumulated input production cost and product and reference accumulated income>、/>、/>Compensation factors defining total sales for the set cumulative production costs, products and reference cumulative profit margin, respectively +.>Correction factor for the set product-processing-benefit evaluation value, +.>Is a natural constant.
The comprehensive benefit evaluation value of the product processing in each production period is analyzed, and the specific calculation formula is as follows:wherein->、/>Correction factors of the set product processing efficiency evaluation value and the set product processing benefit evaluation value, respectively, ++>Is a natural constant.
In one embodiment, by monitoring the consumption of raw materials, an enterprise can ensure that resources are fully utilized in the production process, effective raw material management helps to reduce waste and cost, helps to improve production efficiency, the number of qualified products produced is a key factor in assessing production quality, a high proportion of qualified products represent stability and reliability of the production process, by improving production quality, the enterprise can help to reduce rejection rate, reduce reworking and maintain good reputation, the number of produced defective products can help the enterprise to track problems and defects in the production process, a higher defective product ratio can indicate production flow or equipment problems, timely adjustment and improvement are needed to improve overall efficiency, help to reduce additional production and maintenance costs, help to improve reliability of a production plan by monitoring the data, the reliable production plan can better meet market demands, reduce stock backlog and delivery delay, also help to improve customer satisfaction, and by ensuring that the product meets customer specifications, the enterprise can establish good customer relationship and increase customer trust and customer satisfaction.
The method has the advantages that the cost required by product processing, sales of processed products and accumulated income of the products are monitored, enterprises are helped to know each cost element in the production process, accordingly, measures are taken to adjust production and sales strategies, further, cost structures are better controlled and optimized, effective cost management is helped to improve production efficiency, production cost is reduced, product competitiveness is improved, product combination is optimized, pricing strategies are adjusted, and profit is maximized.
Specifically, the second characteristic value is processed by the product, and the specific analysis process is as follows: according to the collected equipment operation data, extracting the effective operation time and the total operation time of the equipment in each production period, and calculating a second characteristic value of product processing, wherein a calculation formula is as follows:wherein->Processing a second characteristic value for the product, +.>、/>The effective operating time and the total operating time of the device in the jth production cycle, respectively, +.>、/>Evaluation value of electric energy consumption of the plant and evaluation value of stability of operation of the plant in each production cycle are respectively +.>、/>、/>Compensation factors of the set device effective operation time duty ratio, the device electric energy consumption evaluation value and the device operation stability evaluation value are respectively +.>For the number of each production cycle>，/>For the production cycle number->Is a natural constant.
Specifically, the device electric energy consumption evaluation value in each production period comprises the following specific analysis processes: and extracting equipment electrical data from the collected equipment operation data, wherein the equipment electrical data comprises equipment operation power peak-valley difference, accumulated electricity consumption and equipment operation power fluctuation curves in each production cycle.
According to the peak-valley difference of the running power of the equipment in each production periodAnd a device operation power fluctuation curve, and according to the device operation power reference stable curve in the management database of the Internet of things, extracting the coincident curve length by coincident verification, and recording as +.>And extracting the device operating power reference plateau length +.>。
Calculating an equipment operation power evaluation value in each production period according to the expression:wherein->Operational power evaluation value +.>Defining peak-valley difference for device operation power period in production period, +.>For the set coincidence curve length to account for the reference threshold, +.>And (5) compensating the peak-to-valley load difference of the set equipment operation power.
According to the accumulated electricity consumption and the effective running time of the equipment in each production cycle, calculating an equipment electric energy consumption evaluation value in each production cycle, wherein the calculation formula is as follows:wherein->For the device power consumption evaluation value in the j-th production cycle,/th>、/>Respectively, the effective running time and the accumulated electricity consumption of the equipment in the jth production period are +.>Reference accumulated electricity consumption of the device in the production cycle, < >>Reference to the power consumption rate for the device, < >>、/>And respectively setting compensation factors of the equipment power consumption rate and the equipment accumulated power consumption.
The equipment electric energy consumption evaluation value in each production period is analyzed, and a specific calculation formula is as follows:wherein->、/>Correction factors for the set operating power of the device, the estimated value of the electrical energy consumption, respectively +.>Is a natural constant.
It should be noted that, the peak-valley load difference of the peak Gu Quxian of the device operation power and the superposition verification of the peak-valley graph of the device operation power are used as the evaluation factors of the evaluation values of the device operation power of the device in the production period, which is not only helpful for enterprises to better understand the electric energy use condition of the device in different time periods, but also helpful for optimizing the energy use policy and improving the energy utilization efficiency, by evaluating and analyzing the peak-valley curve of the device operation power, the enterprises can reduce the peak demand of the electric power system corresponding to the device, be helpful for smoothing the load curve of the device operation power, lighten the pressure of the electric power system corresponding to the device, be helpful for maintaining the stability of the electric power system corresponding to the device, and help the enterprises to determine whether the peak-valley balance is realized in a proper time period, and by executing the task with larger energy consumption in a valley period, the enterprises can help to reduce the power consumption of the peak period, the evaluation of the peak-valley curve of the device operation power can also provide clues of the maintenance planning of the device, if the electric energy consumption of the device in a certain time period is abnormal, the state of the device can need to be checked and maintained, so as to prevent potential faults and improve the energy consumption of the device can be better controlled, and the energy consumption of the device can be continuously controlled.
Specifically, the equipment operation stability evaluation value in each production period comprises the following specific analysis processes: and extracting the average operating noise decibel value, the highest operating noise decibel value, the total maintenance times and the time for each maintenance of the equipment in each production period from the collected equipment operating data.
Analyzing a first operation evaluation value of equipment in each production period, wherein a specific calculation formula is as follows:wherein->For the first operating evaluation value of the device in the jth production cycle, < >>For average operation in the j-th production cycleDecibel value of line noise>Is the maximum operating noise decibel value in the jth production cycle, < >>、/>Respectively, the reference decibel value and the allowable deviation noise decibel value of the equipment operation noise in the production period are +.>、/>And the compensation factors are respectively set average operating noise decibel values and equipment operating noise reference decibel values and allowable deviation noise decibel values.
Analyzing a second operation evaluation value of the equipment in each production period, wherein the specific calculation formula is as follows:wherein->For the second operating evaluation value of the device in the jth production cycle, +>、/>The total number of maintenance of the equipment and the time of the input of the maintenance of the nth production period are respectively +.>、/>Respectively, for a defined input time of a total number of maintenance references and a single maintenance of the equipment in a production cycle, +.>、/>Operating evaluation influencing factors of the set total number of maintenance operations of the device and the single maintenance time of the device, +.>The number maintained for each piece of equipment,，/>the number represents the number of times for the equipment maintenance.
And analyzing equipment operation stability evaluation values in each production period, wherein a specific calculation formula is as follows:wherein->、/>Correction factors of the first operating evaluation value of the device and the second operating evaluation value of the device, respectively,/-are set up>Is a natural constant.
It should be noted that, above-mentioned through the noise decibel value of monitoring equipment, the perception equipment that uses is the sound sensor, can evaluate the security of equipment, high noise level can cause harm to operator's hearing, therefore reduce noise decibel value helps protecting staff's health and safety, the noise production of equipment also can cause the influence to the environment, through the average running noise decibel value and the highest running noise decibel value of evaluation equipment, can discern whether there is the problem that exceeds environmental noise standard, the noise also can reflect the inside running state of equipment, whether inside spare part of equipment has wearing and tearing, become flexible or misplacement can lead to unusual noise to increase, and take corresponding measure to carry out environmental protection, regular maintenance and noise reduction can reduce wearing and tearing and the fault risk of equipment, extend the reliability and the life-span of equipment, monitor equipment's total number of times of maintenance and the input time of each time maintenance, can help the effective equipment maintenance plan of enterprise, through predictive maintenance demand and appropriate resource allocation, can reduce equipment trouble and down time, improve equipment's reliability and availability, through effective maintenance and noise level management, can not lead to the reduction of the noise level, thereby the cost of service is reduced, can not only take the cost is reduced to the necessary, and the cost is reduced to the relevant to the maintenance is reduced, and the cost is reduced to the relevant and is taken to the cost is good to the cost and can be repaired to the maintenance.
The product processing management module is used for carrying out intelligent planning prompt on product processing.
Specifically, the intelligent planning prompt is carried out on the product processing, and the specific analysis process is as follows: according to the product processing steady state value, comparing the product processing steady state value with a set product processing steady state reference value, and if the product processing steady state value is lower than the product processing steady state reference value: and extracting a first characteristic value of product processing, comparing the first characteristic value with a set first characteristic threshold value, and generating a product optimization label to prompt when the first characteristic value of product processing is lower than the first characteristic threshold value.
And simultaneously extracting a second characteristic value of product processing, comparing the second characteristic value with a set second characteristic threshold value, and generating an equipment optimization label for prompting when the second characteristic value of product processing is lower than the second characteristic threshold value.
In a specific embodiment, when the first characteristic value of product processing is lower than the reference value, intelligent planning prompt is carried out on the product processing process, the production mode is adjusted, the ratio of unqualified products in the products is prevented from being too high, resources and time are avoided, production is ensured to be carried out according to a plan, the quality of the products is ensured to meet the standard, when the second characteristic value of product processing is lower than the reference value, intelligent planning prompt is carried out on product processing equipment, the equipment is replaced timely, maintenance measures are adopted early, the downtime can be reduced, the availability of the equipment is improved, the production rate of the products is increased, the quality of the products is ensured, the enterprise can find the inefficiency problem in the production process through the intelligent planning prompt, the energy consumption is reduced, the aim of saving energy and reducing emission is fulfilled, the requirements of sustainable development are met, the problem in the production process is found and the delivery of high-quality products can be ensured, and the satisfaction degree of customers is improved, which is vital to the maintenance of customer relationship and market reputation.
The Internet of things management database is used for storing product processing management parameters.
Specifically, the product processing management parameters specifically include: the product reference production quantity, reference raw material consumption, qualified product reference output, defective product definition quantity, reference accumulated input production cost, product definition total sales, reference accumulated income amount, equipment operation power reference stable curve graph, equipment reference accumulated electricity consumption amount, equipment reference electricity consumption amount rate, equipment operation noise reference decibel value, allowable deviation noise decibel value, equipment reference maintenance total times and equipment single maintenance definition input time in the production period.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
Claims (6)
1. Product processing management system based on IOT internet of things, characterized by comprising:
the product processing data acquisition module is used for acquiring product processing data;
the product processing data analysis module is used for analyzing the product processing data and comprehensively evaluating the product processing steady-state value;
the product processing management module is used for carrying out intelligent planning prompt on product processing;
the internet of things management database is used for storing product processing management parameters;
the product processing data analysis module further comprises a product data analysis unit and a device operation data analysis unit, wherein the product data analysis unit is used for analyzing and processing product data and calculating a first characteristic value of product processing, and the device operation data analysis unit is used for analyzing and processing device operation data and calculating a second characteristic value of product processing;
the comprehensive evaluation product processing steady state value comprises the following specific expression:
in the formula->Processing steady state values for the product,/->、/>A first characteristic value for product processing and a second characteristic value for product processing, respectively, < >>、/>Weighting factors of a first characteristic value and a second characteristic value of the product processing are set in sequence;
the first characteristic value of the product processing is specifically analyzed as follows:
according to the collected product data, the total quantity of product processing output in each production period is extracted, a first characteristic value of product processing is calculated, and a calculation formula is as follows:
wherein->Processing a first characteristic value for the product, < >>、/>Total number of product processing outputs and reference number of periodic products in the j-th production period, respectively,/production period>Evaluation value of comprehensive benefit for product processing in each production cycle,/->、/>Compensating factors of the set production quantity and the product processing efficiency evaluation value, respectively, +.>For the number of each production cycle>，/>For the production cycle number->Is a natural constant;
the second characteristic value of the product processing is specifically analyzed as follows:
according to the collected equipment operation data, extracting the effective operation time and the total operation time of the equipment in each production period, and calculating a second characteristic value of product processing, wherein a calculation formula is as follows:
wherein->Processing a second characteristic value for the product, +.>、/>The effective operating time and the total operating time of the device in the jth production cycle, respectively, +.>、/>Evaluation value of electric energy consumption of the plant and evaluation value of stability of operation of the plant in each production cycle are respectively +.>、/>、/>Compensation factors of the set device effective operation time duty ratio, the device electric energy consumption evaluation value and the device operation stability evaluation value are respectively +.>For the number of each production cycle>，/>For the production cycle number->Is a natural constant.
2. The IOT internet of things-based product processing management system in accordance with claim 1, wherein: the product processing management parameters specifically comprise:
the product reference production quantity, reference raw material consumption, qualified product reference output, defective product definition quantity, reference accumulated input production cost, product definition total sales, reference accumulated income amount, equipment operation power reference stable curve graph, equipment reference accumulated electricity consumption amount, equipment reference electricity consumption amount rate, equipment operation noise reference decibel value, allowable deviation noise decibel value, equipment reference maintenance total times and equipment single maintenance definition input time in the production period.
3. The IOT internet of things-based product processing management system of claim 2, wherein: the product processing comprehensive benefit evaluation value in each production period comprises the following specific analysis processes:
counting the consumption of raw materials, qualified product yield and defective product quantity in each production period from the product data, and respectively marking as、/>、/>Calculating an evaluation value of product processing efficiency in each production period, wherein the expression is as follows:wherein->For the product processing efficiency evaluation value in the j-th production cycle,/th production cycle>、/>、/>Reference raw material consumption, qualified product reference yield and defective product definition quantity in production cycle respectively, +.>、/>、/>Respectively compensating factors of the set raw material consumption, qualified product yield and defective product quantity;
the accumulated input production cost, the total sales of the product and the accumulated income in each production period are counted from the product data, and the evaluation value of the processing benefit of the product in each production period is calculated according to the following calculation formula:wherein->For the product processing benefit evaluation value in the j-th production cycle,/>、/>、/>Respectively, the j-th production period is integrated with the input production cost, the total sales of the product and the accumulated income amount,/->、/>、/>Respectively defining total sales of products and reference accumulated income in production period by reference accumulated input production cost and product and reference accumulated income>、/>、/>Compensation factors defining total sales for the set cumulative production costs, products and reference cumulative profit margin, respectively +.>Correction factor for the set product-processing-benefit evaluation value, +.>Is a natural constant;
the comprehensive benefit evaluation value of the product processing in each production period is analyzed, and the specific calculation formula is as follows:wherein->、/>Correction factors of the set product processing efficiency evaluation value and the set product processing benefit evaluation value, respectively, ++>Is a natural constant.
4. The IOT internet of things-based product processing management system in accordance with claim 3, wherein: the specific analysis process of the equipment electric energy consumption evaluation value in each production period is as follows:
extracting equipment electrical data from the collected equipment operation data, wherein the equipment electrical data comprises equipment operation power peak-valley difference, accumulated electricity consumption and equipment operation power fluctuation curves in each production cycle;
according to the peak-valley difference of the running power of the equipment in each production periodAnd a device operation power fluctuation curve, and according to the device operation power reference stable curve in the management database of the Internet of things, extracting the coincident curve length by coincident verification, and recording as +.>And extracting the device operating power reference plateau length +.>；
Calculating an equipment operation power evaluation value in each production period according to the expression:
wherein->Operating power evaluation value for the device in the j-th production cycle, for example>Defining peak-valley difference for device operation power period in production period, +.>For the set coincidence curve length to account for the reference threshold, +.>A compensation factor for the set peak-to-valley load difference of the equipment operation power;
according to the accumulated electricity consumption and the effective running time of the equipment in each production cycle, calculating an equipment electric energy consumption evaluation value in each production cycle, wherein the calculation formula is as follows:
wherein->For the device power consumption evaluation value in the j-th production cycle,/th>、/>Respectively, the effective running time and the accumulated electricity consumption of the equipment in the jth production period are +.>Reference accumulated electricity consumption of the device in the production cycle, < >>Reference to the power consumption rate for the device, < >>、/>Are respectively provided withA fixed equipment power consumption rate and a compensation factor of equipment accumulated power consumption;
the equipment electric energy consumption evaluation value in each production period is analyzed, and a specific calculation formula is as follows:
wherein->、/>Correction factors for the set operating power of the device, the estimated value of the electrical energy consumption, respectively +.>Is a natural constant.
5. The IOT internet of things-based product processing management system in claim 4, wherein: the equipment operation stability evaluation value in each production period comprises the following specific analysis processes:
extracting an average operation noise decibel value, a highest operation noise decibel value, total maintenance times and the input time of each maintenance of the equipment in each production period from the collected equipment operation data;
analyzing a first operation evaluation value of equipment in each production period, wherein a specific calculation formula is as follows:wherein->For the first operating evaluation value of the device in the jth production cycle, < >>Decibel value of average running noise in jth production cycle +.>Is the maximum operating noise decibel value in the jth production cycle, < >>、/>Respectively, the reference decibel value and the allowable deviation noise decibel value of the equipment operation noise in the production period are +.>、/>Respectively setting compensation factors of an average operating noise decibel value and a reference decibel value of equipment operating noise;
analyzing a second operation evaluation value of the equipment in each production period, wherein the specific calculation formula is as follows:
wherein->For the second operating evaluation value of the device in the jth production cycle, +>、The total number of maintenance of the equipment and the time of the input of the maintenance of the nth production period are respectively +.>、/>Devices in production cycles respectivelyReference to the total number of maintenance operations and defined time taken for a single maintenance operation of the device, < >>、/>Operating evaluation influencing factors of the set total number of maintenance operations of the device and the single maintenance time of the device, +.>Number maintained for each device +.>，/>The number represents the times for the equipment maintenance number;
and analyzing equipment operation stability evaluation values in each production period, wherein a specific calculation formula is as follows:
wherein->、/>Correction factors of the first operating evaluation value of the device and the second operating evaluation value of the device, respectively,/-are set up>Is a natural constant.
6. The IOT internet of things-based product processing management system in claim 5, wherein: the intelligent planning prompt is carried out on the product processing, and the specific analysis process is as follows:
according to the product processing steady state value, comparing the product processing steady state value with a set product processing steady state reference value, and if the product processing steady state value is lower than the product processing steady state reference value: extracting a first characteristic value of product processing, comparing the first characteristic value with a set first characteristic threshold value, and generating a product optimization label for prompting when the first characteristic value of product processing is lower than the first characteristic threshold value;
and simultaneously extracting a second characteristic value of product processing, comparing the second characteristic value with a set second characteristic threshold value, and generating an equipment optimization label for prompting when the second characteristic value of product processing is lower than the second characteristic threshold value.
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