CN117455080B - Production workshop environment optimization method and system based on Internet of things - Google Patents

Production workshop environment optimization method and system based on Internet of things Download PDF

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CN117455080B
CN117455080B CN202311794424.5A CN202311794424A CN117455080B CN 117455080 B CN117455080 B CN 117455080B CN 202311794424 A CN202311794424 A CN 202311794424A CN 117455080 B CN117455080 B CN 117455080B
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CN117455080A (en
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李彪
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Shenzhen Hongda United Industry Co ltd
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Abstract

The invention provides a production workshop environment optimization method and system based on the Internet of things, which are applied to the field of Internet of things data; according to the invention, whether the manufactured product generates the preset waste is judged, the waste management can be more effectively carried out in the production workshop, the waste generation is reduced, the resource utilization efficiency is improved, the sustainable development goal is met, meanwhile, the energy utilization is optimized, the production cost and the influence on the environment are reduced by dynamically adjusting the production parameters, the environmental data of the production workshop, including the air quality, the gas concentration and the pollution index, is monitored by applying the environmental detection script, the production environment is ensured to meet the environmental protection standard, and the sustainable development is promoted.

Description

Production workshop environment optimization method and system based on Internet of things
Technical Field
The invention relates to the field of data of the Internet of things, in particular to a production workshop environment optimization method and system based on the Internet of things.
Background
With the rapid development of new generation information technology, intelligent sensing technology, information physical fusion and other emerging technologies, the global manufacturing industry is inoculated with great changes of manufacturing technology systems and manufacturing modes, the fusion of manufacturing technology, digital technology, intelligent technology and new generation information technology has become a major trend of the development of the manufacturing industry, and intelligent manufacturing gradually becomes a main mode of enterprise workshop production.
At present, various wastes and wastes are easy to generate in the intelligent manufacturing process of a production workshop, and the discharge of the wastes and wastes can cause adverse effects on the environment of the whole workshop, so that the discomfort of the bodies of workers in the workshop can be caused, and the manufacturing efficiency is indirectly influenced.
Disclosure of Invention
The invention aims to solve the problem that the discharge of waste materials can cause adverse effect on the environment of the whole workshop when the production workshop is intelligently manufactured, and provides a production workshop environment optimization method and system based on the Internet of things.
The invention adopts the following technical means for solving the technical problems:
the invention provides a production workshop environment optimization method based on the Internet of things, which comprises the following steps:
identifying a current manufactured product within the production facility;
judging whether the manufactured product generates pre-recorded waste;
if yes, acquiring energy consumption data of the manufactured product on workshop equipment by using a preset sensor based on a preset production strategy of the manufactured product, acquiring production parameters of the workshop equipment on the manufactured product, dynamically adjusting the production parameters according to a preset production flow, and identifying the production efficiency of the manufactured product, wherein the production parameters specifically comprise temperature, pressure and speed;
Judging whether the production efficiency is matched with preset high production efficiency or not;
if the environmental data are matched, monitoring the environmental data of the production workshop by using a pre-deployed environmental detection script, collecting loss data of the environmental data on workshop equipment, acquiring lost information of the workshop equipment, and constructing maintenance content of the workshop equipment according to the lost information, wherein the environmental data specifically comprise air quality, gas concentration and pollution index.
Further, before the step of generating the preset production strategy based on the manufactured product, the method further comprises:
acquiring prenatal description content of the manufactured product, wherein the prenatal description content specifically comprises a production process, material selection and manufacturing standards;
judging whether the prenatal instruction content accords with a preset environmental protection standard or not;
if not, recording the production content of the manufactured product, establishing a production period of the manufactured product based on the production content, and limiting the workshop equipment to produce the manufactured product only in the production period, wherein the production content specifically comprises waste treatment, energy use and emission control.
Further, the step of dynamically adjusting the production parameters according to a preset production flow and identifying the production efficiency of the manufactured product further includes:
Acquiring an instruction output mode of the workshop equipment on the manufactured product, wherein the instruction output mode specifically comprises a manual output instruction and a remote output instruction;
judging whether the instruction output mode is influenced by the environment of the production workshop or not;
if yes, collecting the noise level of each device in the production workshop, acquiring each output frequency of the noise level, and performing same-frequency processing on each output frequency to generate same-frequency noise of the production workshop.
Further, the step of applying the pre-deployed environment detection script to monitor the environmental data of the production plant includes:
based on a communication protocol preset by a preset sensor through the Internet of things and the workshop equipment, carrying out time-sharing acquisition on the environmental data of the production workshop according to a preset period of time, and uploading the time-sharing environmental data to a preset platform;
judging whether the time-sharing environment data exceeds a preset threshold value or not;
if yes, performing visualization operation on the time-sharing environment data on the platform, generating visualization data of the time-sharing environment data, and synchronizing the visualization data into a preset mobile device, wherein the visualization data specifically comprises chart data, horizontal data and instrument panel data.
Further, after the step of determining whether the production efficiency is higher than the preset high efficiency, the method further includes:
recycling the generated waste of the manufactured product based on a preset intelligent waste classification, and obtaining the recycled waste corresponding to the generated waste;
judging whether the recovered waste material is matched with the manufacturing material of a pre-recorded product;
if yes, identifying waste components required by the manufacturing materials, carrying out preset sorting and cleaning on the recycled waste, carrying out preset processing and manufacturing on the recycled waste, and obtaining secondary production materials matched with the manufacturing materials from the recycled waste.
Further, the step of determining whether the manufactured product will generate pre-recorded scrap further includes:
acquiring a preset usable period of the manufactured product;
judging whether the available period exceeds a preset time limit or not;
if not, identifying the raw material content of the manufactured product, generating a waste class of the manufactured product based on the raw material content, and collecting at least one waste resource of the waste class based on the preset time limit.
Further, before the step of identifying the current manufactured product in the production shop, the method further comprises:
Acquiring a preset product identifier of the manufactured product based on a preset sensor;
judging whether the product identifier accords with a pre-recorded product type or not;
if not, extracting production data of the manufactured product, uploading the production data to a preset platform, and establishing a production plan of the manufactured product in real time through the platform, wherein the production data specifically comprises production positions, production stages and production quantity, and the production plan specifically comprises production resource allocation, production period and production process.
The invention also provides a production workshop environment optimization system based on the Internet of things, which comprises:
the identification module is used for identifying the current manufactured products in the production workshop;
a judging module for judging whether the manufactured product will generate pre-recorded waste;
the execution module is used for acquiring energy consumption data of the manufactured product to workshop equipment by using a preset sensor based on a preset production strategy of the manufactured product if the manufactured product is produced, acquiring production parameters of the workshop equipment to the manufactured product, dynamically adjusting the production parameters according to a preset production flow, and identifying the production efficiency of the manufactured product, wherein the production parameters comprise temperature, pressure and speed;
The second judging module is used for judging whether the production efficiency is matched with the preset high production efficiency or not;
and the second execution module is used for monitoring the environmental data of the production workshop by applying a pre-deployed environmental detection script if the environmental data are matched, acquiring the loss data of the environmental data on the workshop equipment, acquiring the loss information of the workshop equipment, and constructing the maintenance content of the workshop equipment according to the loss information, wherein the environmental data specifically comprise air quality, gas concentration and pollution index.
Further, the method further comprises the following steps:
the acquisition module is used for acquiring the prenatal description content of the manufactured product, wherein the prenatal description content specifically comprises a production process, material selection and manufacturing standards;
the third judging module is used for judging whether the prenatal instruction content accords with a preset environmental protection standard;
and the third execution module is used for recording the production content of the manufactured product, establishing the production period of the manufactured product based on the production content and limiting the workshop equipment to produce the manufactured product only in the production period if not, wherein the production content specifically comprises waste treatment, energy use and emission control.
Further, the execution module further includes:
the acquisition unit is used for acquiring an instruction output mode of the workshop equipment on the manufactured product, wherein the instruction output mode specifically comprises a manual output instruction and a remote output instruction;
the judging unit is used for judging whether the instruction output mode is influenced by the environment of the production workshop or not;
and the execution unit is used for acquiring the noise level of each device in the production workshop if the noise level is generated, acquiring each output frequency of the noise level, and performing the same-frequency processing on each output frequency to generate the same-frequency noise of the production workshop.
The invention provides a production workshop environment optimization method and system based on the Internet of things, which have the following beneficial effects:
according to the invention, whether the manufactured product generates the preset waste is judged, the waste management can be more effectively carried out in the production workshop, the waste generation is reduced, the resource utilization efficiency is improved, the sustainable development goal is met, meanwhile, the energy utilization is optimized, the production cost and the influence on the environment are reduced by dynamically adjusting the production parameters, the environmental data of the production workshop, including the air quality, the gas concentration and the pollution index, is monitored by applying the environmental detection script, the production environment is ensured to meet the environmental protection standard, and the sustainable development is promoted.
Drawings
FIG. 1 is a schematic flow chart of one embodiment of a production plant environment optimization method based on the Internet of things;
fig. 2 is a block diagram illustrating an embodiment of a production plant environment optimization system based on the internet of things.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present invention, as the achievement, functional features, and advantages of the present invention are further described with reference to the embodiments, with reference to the accompanying drawings.
The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the method for optimizing the environment of a production plant based on the internet of things in an embodiment of the invention comprises the following steps:
s1: identifying a current manufactured product within the production facility;
s2: judging whether the manufactured product generates pre-recorded waste;
S3: if yes, acquiring energy consumption data of the manufactured product on workshop equipment by using a preset sensor based on a preset production strategy of the manufactured product, acquiring production parameters of the workshop equipment on the manufactured product, dynamically adjusting the production parameters according to a preset production flow, and identifying the production efficiency of the manufactured product, wherein the production parameters specifically comprise temperature, pressure and speed;
s4: judging whether the production efficiency is matched with preset high production efficiency or not;
s5: if the environmental data are matched, monitoring the environmental data of the production workshop by using a pre-deployed environmental detection script, collecting loss data of the environmental data on workshop equipment, acquiring lost information of the workshop equipment, and constructing maintenance content of the workshop equipment according to the lost information, wherein the environmental data specifically comprise air quality, gas concentration and pollution index.
In this embodiment, the system performs the corresponding steps by identifying the product currently being manufactured in the production plant and then determining whether the manufactured product will generate pre-recorded scrap content; for example, when the system determines that the manufactured product will not generate pre-recorded scrap content, the system considers that effective scrap prevention and management measures are already provided in the manufacturing process of the manufactured product, the system recommends recycling and recovery of the scrap according to raw materials of the manufactured product, including adopting a cyclic production, a closed-loop system or a scrap recovery and remanufacturing method to minimize the generation of the scrap, and simultaneously when adopting the method, the simulation production process can be performed in advance, the optimal production parameters can be determined through virtual experiments to reduce trial-and-error cost and scrap generation, and recommends combining renewable energy sources such as solar energy or wind energy for energy supply of production equipment, thereby helping to reduce the dependence on traditional energy sources and reducing the carbon footprint of the production process; for example, when the system determines that the manufactured product can generate the content of the pre-recorded waste, the system can acquire the energy consumption data of the manufactured product to workshop equipment based on the pre-set production strategy of the manufactured product by applying the pre-set electric energy sensor, dynamically adjust the production parameters of the manufactured product according to the pre-set production flow of the manufactured product by collecting the production parameters of the workshop equipment, identify the production efficiency of the manufactured product, and by identifying and adjusting the production parameters, enterprises can reduce the rejection rate, reduce the energy waste and optimize the utilization rate of raw materials, thereby reducing the production cost, simultaneously optimize the production parameters and the energy consumption to help the enterprises advance towards the goal of sustainable development, reduce the resource waste and the environmental impact, improve the production sustainability, and dynamically adjust the production parameters to better control the production process, ensure that the product meets the quality standard, help to improve the product quality and reduce the production idle period; then the system judges whether the production efficiency of the manufactured product is matched with the preset high production efficiency or not so as to execute the corresponding steps; for example, when the system determines that the manufactured product cannot match the preset high production efficiency, the system considers that some problems or obstacles exist in the production process, the manufactured product takes the environment as a priority and the productivity does not reach the expected level, the system suggests that the environment-friendly production technology, such as a clean production technology and a low-carbon technology, is adopted, the production efficiency is improved, the burden on the environment is reduced, and the advice content of 'adopting high-efficiency energy utilization, reducing waste emission and using environment-friendly raw materials' is generated at the same time, and the system allows production equipment to be interconnected through the internet of things, can communicate and cooperate with each other, can optimize the whole production flow through instant communication among workshop equipment, and improves the production efficiency; for example, when the system determines that the manufactured product can match the preset high production efficiency, the system can apply an air quality sensor, a gas sensor and a particulate matter sensor which are deployed in the production workshop in advance, monitor environmental data of the production workshop in real time, acquire current worn information of the workshop equipment by acquiring the worn data of the environmental data on the workshop equipment, construct different maintenance contents of each workshop equipment according to the worn information, quickly know the environmental condition of the production workshop, discover potential pollution sources and potential safety hazards in time, acquire the worn data of the workshop equipment through the environmental data, including the degree of environmental pollution and corrosion, help evaluate the service life and performance of the equipment, provide data support for subsequent maintenance, construct different maintenance contents of each workshop equipment based on the worn information, and formulate a maintenance plan including cleaning, lubrication and replacement of damaged parts so as to prolong the service life of the equipment, improve the stability of the workshop equipment and ensure the environmental stability.
It should be noted that, specific examples of dynamically adjusting the production parameters according to the production flow are as follows:
in a chemical production workshop, a specific chemical product is produced, a system uses a pre-deployed air quality sensor and a temperature and humidity sensor to monitor the concentration of harmful gas in the workshop, the system analyzes the data in real time through the Internet of things, and simultaneously combines environmental factors of temperature and humidity to identify environmental conditions which negatively affect the reaction process, if the system detects that the concentration of the harmful gas exceeds a safety threshold, the system can adjust the temperature of a reactor and a ventilation system in real time so as to quickly eliminate the harmful gas, and meanwhile, according to the analysis result of the Internet of things, the intelligent maintenance system predicts the corrosion condition possibly occurring in equipment and makes a preventive cleaning plan so as to ensure the stability of environmental optimization and prolong the service life of workshop equipment.
It should be noted that, the loss data of the environmental data on the workshop apparatus is collected to obtain the lost information of the workshop apparatus, and specific examples are as follows:
assuming that a reaction kettle is used in a chemical production workshop in the production process, by arranging temperature and humidity sensors in the workshop, monitoring environmental conditions around the reaction kettle, analyzing historical data by the Internet of things through the system and correlating with maintenance records, finding that corrosion is easier to occur on the surface of the reaction kettle under the high humidity condition, then establishing a loss model which can analyze the influence of humidity on the metal surface, when the humidity is increased, the loss model can predict the corrosion speed of the surface of the reaction kettle to be increased, so that the system can predict the corrosion degree of the current reaction kettle according to the loss model when the humidity is detected to be increased, finally generating a lost information report of the reaction kettle, indicating that the corrosion of the surface of the reaction kettle is required to be cleaned prophylactically, and team personnel in the production workshop can formulate a cleaning plan for the reaction kettle according to the information report so as to prolong the service life of the reaction kettle, reduce the maintenance cost and ensure the production stability.
In this embodiment, before step S3 of the preset production strategy based on the manufactured product, the method further includes:
s301: acquiring prenatal description content of the manufactured product, wherein the prenatal description content specifically comprises a production process, material selection and manufacturing standards;
s302: judging whether the prenatal instruction content accords with a preset environmental protection standard or not;
s303: if not, recording the production content of the manufactured product, establishing a production period of the manufactured product based on the production content, and limiting the workshop equipment to produce the manufactured product only in the production period, wherein the production content specifically comprises waste treatment, energy use and emission control.
In this embodiment, the system obtains the prenatal description contents of the manufactured product, and then the system judges whether the prenatal description contents meet the preset environmental protection standard or not so as to execute the corresponding steps; for example, when the system determines that the prenatal descriptions can meet the preset environmental protection standards, the system considers that the production flow meets the environmental protection requirements in the design and planning stages and can meet the environmental protection standards under the formulated standards, the system periodically monitors environmental protection indexes in the production process and generates relevant production reports, thereby being beneficial to tracking the influence of production activities on the environment in real time, timely taking corrective measures, and simultaneously suggesting authentication to further prove the compliance with the environmental protection standards if applicable environmental management system authentication standards (such as ISO 14001) exist, and can emphasize the advantages of the products meeting the environmental protection standards in the promotion and marketing of manufactured products, thereby being beneficial to improving the competitiveness of the products in the market with strong environmental awareness; for example, when the system determines that the prenatal descriptions cannot meet the preset environmental standards, the system records the production content of the manufactured product, establishes the production period of the manufactured product based on the production content, limits the workshop equipment to produce the manufactured product only in the production period, and can more effectively utilize energy sources by planning the production period, avoid the equipment from being in an idle or low-efficiency state in the non-production period, help reduce the overall energy consumption of the production process, improve the energy utilization efficiency, limit the workshop equipment to run in the production period, help avoid overuse and wear, prolong the service life of the equipment, provide the opportunity for maintaining and maintaining the equipment in the regular non-production period, and intensively produce the environment influence including waste treatment and wastewater discharge in the production process in the specific period, and help reduce the negative influence of the production on the environment.
In this embodiment, in step S3 of identifying the production efficiency of the manufactured product, the method further includes:
s31: acquiring an instruction output mode of the workshop equipment on the manufactured product, wherein the instruction output mode specifically comprises a manual output instruction and a remote output instruction;
s32: judging whether the instruction output mode is influenced by the environment of the production workshop or not;
s33: if yes, collecting the noise level of each device in the production workshop, acquiring each output frequency of the noise level, and performing same-frequency processing on each output frequency to generate same-frequency noise of the production workshop.
In this embodiment, the system obtains an instruction output mode of the workshop apparatus for the manufactured product, and then the system judges whether the instruction output mode is affected by the environment of the production workshop, so as to execute corresponding steps; for example, when the system determines that the instruction output mode is not affected by the environment of the production workshop, the system considers that the instruction transmission and execution mode can be kept stable and reliable under various production environment conditions, but the system still applies a pre-designed robust communication protocol to ensure the reliability of the instruction transmission, and comprises an error detection and correction mechanism to cope with the communication problem possibly caused by the environment interference, and meanwhile, a backup and redundancy system of the instruction transmission is arranged to prevent single-point faults, if a certain workshop device is affected by the environment to cause failure, the system can be quickly switched to a standby system to output the instruction, test and verification are suggested in the actual production workshop environment, the working condition under various environment conditions is simulated, and the stable and reliable instruction output mode is ensured to be realized in the actual operation; for example, when the system determines that the instruction output mode is affected by the environment of the production workshop, the system collects the noise level of each workshop device in the production workshop, obtains each output frequency of the noise level, performs the same-frequency processing on the output frequencies to generate the same-frequency noise of the production workshop, and helps to take targeted noise control measures, such as noise reduction or adjustment in a specific frequency range, by accurately knowing the noise frequency distribution situation generated by different devices, so as to reduce the influence on workers and the environment.
It should be noted that, specific examples of obtaining each output frequency of the noise level and performing the same-frequency processing on these output frequencies are as follows:
assuming that one piece of machinery in the production plant produces noise at a frequency of 1000 Hz and another piece of machinery produces noise at a frequency of 2000 Hz, both frequency components can be adjusted by co-frequency processing to reduce noise levels; the main noise components are found to be 1000 Hz and 2000 Hz through spectrum analysis, the same-frequency filter is designed to filter the 1000 Hz and 2000 Hz frequencies, the two frequency components are weakened, the phases of the 1000 Hz and 2000 Hz frequencies are adjusted so that the phases of the 1000 Hz and 2000 Hz frequencies are more consistent when the 1000 Hz and 2000 Hz frequencies are combined after the processing, and the noise signals after the same-frequency processing are generated.
In this embodiment, in step S5 of monitoring environmental data of the production plant by applying the pre-deployed environmental detection script, the method includes:
s51: based on a communication protocol preset by a preset sensor through the Internet of things and the workshop equipment, carrying out time-sharing acquisition on the environmental data of the production workshop according to a preset period of time, and uploading the time-sharing environmental data to a preset platform;
s52: judging whether the time-sharing environment data exceeds a preset threshold value or not;
S53: if yes, performing visualization operation on the time-sharing environment data on the platform, generating visualization data of the time-sharing environment data, and synchronizing the visualization data into a preset mobile device, wherein the visualization data specifically comprises chart data, horizontal data and instrument panel data.
In this embodiment, the system acquires a preset communication protocol between the internet of things and the workshop equipment based on a preset network analyzer, performs time-sharing acquisition on environmental data of the production workshop according to a preset time period, uploads the time-sharing environmental data to a preset platform, and then the system judges whether the time-sharing environmental data exceeds a preset threshold value to execute corresponding steps; for example, when the system determines that the time-sharing environmental data do not exceed a preset threshold value, the system considers that the environmental conditions in the current period are in a normal range and do not reach the level of needing to pay attention to or take urgent measures, the system continuously monitors the environmental data of the production workshop, ensures that the environmental conditions are known in real time, records the environmental data so as to facilitate reference analysis of the later environmental data changes as data, simultaneously checks whether the sensor operates normally, and confirms the accuracy and stability of the sensor for collecting the environmental data by periodically calibrating so as to ensure the credibility of the data, continuously monitors the trend of the environmental data, records and knows the change trend of the data, can effectively predict potential environmental problems in advance and takes appropriate preventive and improving measures even if the current data is normal; for example, when the system determines that the time-sharing environmental data exceeds a preset threshold value, the system performs a visual operation on the time-sharing environmental data on the platform to generate visual data of the time-sharing environmental data, synchronizes the visual data into a preset mobile device, is convenient for workshop staff personnel to view and execute corresponding measures in real time, can enable personnel to monitor the environmental condition of a production workshop in real time, can clearly know the real-time change trend of each environmental data through visual chart level or instrument panel data, helps to find abnormal conditions in time, allows management personnel to remotely access the visual environmental data at any time and any place, is very useful for management layers needing frequent outing or needing remote decision, stores and records the visual data so that historical data analysis is simple, and can identify and analyze the potential trend, periodic change or problem occurrence mode by viewing the historical data, thereby optimizing the production environment.
In this embodiment, after step S4 of determining whether the production efficiency is higher than the preset high efficiency, the method further includes:
s401: recycling the generated waste of the manufactured product based on a preset intelligent waste classification, and obtaining the recycled waste corresponding to the generated waste;
s402: judging whether the recovered waste material is matched with the manufacturing material of a pre-recorded product;
s403: if yes, identifying waste components required by the manufacturing materials, carrying out preset sorting and cleaning on the recycled waste, carrying out preset processing and manufacturing on the recycled waste, and obtaining secondary production materials matched with the manufacturing materials from the recycled waste.
In this embodiment, the system recycles the waste generated after the manufactured product is manufactured based on the preset intelligent waste classification, obtains the recycled waste corresponding to the generated waste, and then the system judges whether the recycled waste matches the product manufacturing material recorded in advance to execute the corresponding steps; for example, when the system determines that the recycled waste cannot match the pre-recorded product manufacturing materials, the system considers that the recycled waste possibly contains other materials which are not matched with the expected product manufacturing materials or are polluted to be in accordance with the product quality standard, the system determines the components and the quality of the waste through quality detection and analysis of the recycled waste, such as spectroscopic analysis and chemical analysis, so as to determine whether the components which are not in accordance with the requirements exist in the waste, and simultaneously ensures that the collection, treatment and separation rings in the recycling process can effectively maintain the purity of the waste and reduce the possibility of mixing and pollution, and ensures that the recycled waste meets the requirements of the product manufacturing according to the pre-set strict waste standard, including specific requirements on the content and the purity of various components in the waste; for example, when the system determines that the recycled waste materials can be matched with the product manufacturing materials recorded in advance, the system recognizes waste material components required by the manufacturing materials, performs preset sorting and cleaning on the recycled waste materials, performs preset processing and manufacturing on the recycled waste materials, obtains secondary product materials matched with the manufacturing materials from the recycled waste materials, and realizes effective recycling and recycling of the waste materials through recognition, sorting and cleaning of the waste materials, thereby reducing the requirement for new raw materials, helping to reduce resource waste, reducing the amount of waste materials to be processed, reducing the dependence on other processing modes such as landfill or incineration, helping to slow down the pressure on the environment, and the preset waste sorting, cleaning and processing and manufacturing processes can improve the production efficiency, ensure that the recycled waste materials meet the requirements of the manufacturing materials, and reduce the uncertainty in subsequent production.
It should be noted that, specific examples of the pre-set waste sorting cleaning and processing manufacturing flow are as follows:
assuming an electronic waste recycling project, a preset waste sorting and cleaning and processing flow relates to the treatment of waste electronic products, firstly, waste recognition and sorting are carried out, waste electronic products are classified into a plastic shell, a circuit board and a metal structure through recognition, then cleaning standards are set, toxic substances such as mercury, lead and the like on the circuit board are ensured to be cleaned, marks and labels in the shell are removed, vibration screening and airflow separation are utilized, circuit boards, metals and plastic components are initially separated, elements in the circuit boards and the metal structure are further separated through manual sorting, residues on the plastic shell are removed, then the separated circuit boards are subjected to chemical treatment, toxic substances are removed, the metal structure is crushed and melted, metal which can be used for regeneration is obtained, element content in the circuit boards is detected through a chemical analysis instrument, the quality of the metal is ensured to meet environmental protection and safety standards, quality inspection results are fed back to the sorting and processing flow, sorting and processing procedures are optimized, and recycling efficiency and raw material quality are improved; through the process, the waste electronic products can be efficiently and environmentally-friendly recycled, and the secondary production materials meeting the quality standard are produced.
In this embodiment, in step S2 of determining whether the manufactured product will generate pre-recorded scrap, the method further includes:
s21: acquiring a preset usable period of the manufactured product;
s22: judging whether the available period exceeds a preset time limit or not;
s23: if not, identifying the raw material content of the manufactured product, generating a waste class of the manufactured product based on the raw material content, and collecting at least one waste resource of the waste class based on the preset time limit.
In this embodiment, the system acquires a preset available period of the manufactured product, and then determines whether the available period exceeds a preset time limit, so as to execute a corresponding step; for example, when the system determines that the available period exceeds a preset time limit, the system considers the material of the manufactured product to exceed the quality guarantee period, the system informs workshop staff to stop throwing any waste related to the expired product into the recovery system, meanwhile, the collected waste is isolated, the waste is ensured not to be used for production, the workshop staff is recommended to clean the waste related to the expired product, which is already in the recovery system, including cleaning pipelines, equipment and storage areas, so that the workshop environment is always comfortable; for example, when the system determines that the available period does not exceed a preset time limit, the system identifies the raw material content of the manufactured product, generates a waste class of the manufactured product based on the raw material content, collects at least one waste resource in the waste class based on the preset time limit, and serves as a secondary recovery resource of other manufactured products.
In this embodiment, before step S1 of identifying the current manufactured product in the production plant, the method further includes:
s101: acquiring a preset product identifier of the manufactured product based on a preset sensor;
s102: judging whether the product identifier accords with a pre-recorded product type or not;
s103: if not, extracting production data of the manufactured product, uploading the production data to a preset platform, and establishing a production plan of the manufactured product in real time through the platform, wherein the production data specifically comprises production positions, production stages and production quantity, and the production plan specifically comprises production resource allocation, production period and production process.
In this embodiment, the system acquires product identifiers preset for manufacturing products based on a preset bar code scanner, and then determines whether the product identifiers conform to the product types recorded in advance, so as to execute corresponding steps; for example, when the system determines that the product identifier can conform to the product type recorded in advance, the system considers that the product production conforms to the expectation, and the identification of the product type is accurate, the system ensures that the actual performance and characteristics of the product conform to the identifier by verifying whether the product identifier accurately reflects the actual type and characteristics of the product, and simultaneously confirms that the product conforms to the preset quality standard and specification, because the consistency of the product type and the identifier helps to ensure the quality and consistency of the product, the manufactured workshop product is prevented from polluting the workshop environment; for example, when the system determines that the product identifier does not conform to the type of the product recorded in advance, the system extracts production data of the manufactured product, uploads the production data to a preset monitoring platform, workshop staff can establish a production plan of the manufactured product in real time through the monitoring platform, the system can monitor the production data in real time through the workshop staff, including production positions, production stages, production quantity and the like, so that potential production problems can be found and solved in time, stability of the production process is improved, meanwhile, the production plan is quickly adjusted when needed to adapt to sudden production requirements, equipment faults or other unpredictable conditions, and the workshop staff adjusts the production plan according to the real-time production requirements, so that excessive stock backlog can be avoided, and efficiency of stock management is improved.
Referring to fig. 2, in an embodiment of the present invention, a production plant environment optimization system based on the internet of things includes:
an identification module 10 for identifying a currently manufactured product in a production plant;
a determining module 20 for determining whether the manufactured product will generate pre-recorded scrap;
the execution module 30 is configured to, if yes, acquire energy consumption data of the manufactured product on workshop equipment by using a preset sensor based on a preset production strategy of the manufactured product, collect production parameters of the workshop equipment on the manufactured product, dynamically adjust the production parameters according to a preset production flow, and identify production efficiency of the manufactured product, where the production parameters specifically include temperature, pressure and speed;
a second judging module 40, configured to judge whether the production efficiency matches a preset high production efficiency;
and the second execution module 50 is configured to, if the environmental data are matched, monitor environmental data of the production plant by using a pre-deployed environmental detection script, collect loss data of the environmental data on the plant equipment, obtain loss information of the plant equipment, and construct maintenance content of the plant equipment according to the loss information, wherein the environmental data specifically include air quality, gas concentration and pollution index.
In this embodiment, the identification module 10 identifies the product currently being manufactured in the production plant, and then the judgment module 20 judges whether the manufactured product will generate the pre-recorded scrap content to execute the corresponding steps; for example, when the system determines that the manufactured product will not generate pre-recorded scrap content, the system considers that effective scrap prevention and management measures are already provided in the manufacturing process of the manufactured product, the system recommends recycling and recovery of the scrap according to raw materials of the manufactured product, including adopting a cyclic production, a closed-loop system or a scrap recovery and remanufacturing method to minimize the generation of the scrap, and simultaneously when adopting the method, the simulation production process can be performed in advance, the optimal production parameters can be determined through virtual experiments to reduce trial-and-error cost and scrap generation, and recommends combining renewable energy sources such as solar energy or wind energy for energy supply of production equipment, thereby helping to reduce the dependence on traditional energy sources and reducing the carbon footprint of the production process; for example, when the system determines that the manufactured product will generate the pre-recorded waste content, at this time, the execution module 30 will acquire the energy consumption data of the manufactured product for the workshop equipment based on the pre-set production strategy of the manufactured product, and apply the pre-set electric energy sensor, dynamically adjust the production parameters of the manufactured product according to the pre-set production flow of the manufactured product by collecting the production parameters of the workshop equipment, and identify the production efficiency of the manufactured product, and by identifying and adjusting the production parameters, the enterprise can reduce the rejection rate, reduce the energy waste and optimize the raw material utilization rate, thereby reducing the production cost, and simultaneously optimize the production parameters and the energy consumption to help the enterprise advance towards the goal of sustainable development, reduce the resource waste and environmental impact, improve the sustainability of production, and dynamically adjust the production parameters to better control the production process, ensure that the product meets the quality standard, and help to improve the product quality and reduce the production idle period; the second judging module 40 judges whether the production efficiency of the manufactured product matches the preset high production efficiency or not so as to execute the corresponding steps; for example, when the system determines that the manufactured product cannot match the preset high production efficiency, the system considers that some problems or obstacles exist in the production process, the manufactured product takes the environment as a priority and the productivity does not reach the expected level, the system suggests that the environment-friendly production technology, such as a clean production technology and a low-carbon technology, is adopted, the production efficiency is improved, the burden on the environment is reduced, and the advice content of 'adopting high-efficiency energy utilization, reducing waste emission and using environment-friendly raw materials' is generated at the same time, and the system allows production equipment to be interconnected through the internet of things, can communicate and cooperate with each other, can optimize the whole production flow through instant communication among workshop equipment, and improves the production efficiency; for example, when the system determines that the manufactured product can match the preset high production efficiency, the second execution module 50 can apply an air quality sensor, a gas sensor and a particulate matter sensor which are deployed in the production workshop in advance, monitor environmental data of the production workshop in real time, acquire current worn information of the workshop equipment by acquiring the worn data of the environmental data on the workshop equipment, construct different maintenance contents of each workshop equipment according to the worn information, quickly know the environmental condition of the production workshop, discover potential pollution sources and potential safety hazards in time, acquire the worn data of the workshop equipment through the environmental data, including the degree of environmental pollution and corrosion, help evaluate the service life and performance of the equipment, provide data support for subsequent maintenance, and construct different maintenance contents of each workshop equipment based on the worn information, make a maintenance plan including cleaning, lubrication and replacement of damaged parts so as to prolong the service life of the equipment, improve the stability of the workshop equipment and ensure the environmental stability.
In this embodiment, further comprising:
the acquisition module is used for acquiring the prenatal description content of the manufactured product, wherein the prenatal description content specifically comprises a production process, material selection and manufacturing standards;
the third judging module is used for judging whether the prenatal instruction content accords with a preset environmental protection standard;
and the third execution module is used for recording the production content of the manufactured product, establishing the production period of the manufactured product based on the production content and limiting the workshop equipment to produce the manufactured product only in the production period if not, wherein the production content specifically comprises waste treatment, energy use and emission control.
In this embodiment, the system obtains the prenatal description contents of the manufactured product, and then the system judges whether the prenatal description contents meet the preset environmental protection standard or not so as to execute the corresponding steps; for example, when the system determines that the prenatal descriptions can meet the preset environmental protection standards, the system considers that the production flow meets the environmental protection requirements in the design and planning stages and can meet the environmental protection standards under the formulated standards, the system periodically monitors environmental protection indexes in the production process and generates relevant production reports, thereby being beneficial to tracking the influence of production activities on the environment in real time, timely taking corrective measures, and simultaneously suggesting authentication to further prove the compliance with the environmental protection standards if applicable environmental management system authentication standards (such as ISO 14001) exist, and can emphasize the advantages of the products meeting the environmental protection standards in the promotion and marketing of manufactured products, thereby being beneficial to improving the competitiveness of the products in the market with strong environmental awareness; for example, when the system determines that the prenatal descriptions cannot meet the preset environmental standards, the system records the production content of the manufactured product, establishes the production period of the manufactured product based on the production content, limits the workshop equipment to produce the manufactured product only in the production period, and can more effectively utilize energy sources by planning the production period, avoid the equipment from being in an idle or low-efficiency state in the non-production period, help reduce the overall energy consumption of the production process, improve the energy utilization efficiency, limit the workshop equipment to run in the production period, help avoid overuse and wear, prolong the service life of the equipment, provide the opportunity for maintaining and maintaining the equipment in the regular non-production period, and intensively produce the environment influence including waste treatment and wastewater discharge in the production process in the specific period, and help reduce the negative influence of the production on the environment.
In this embodiment, the execution module further includes:
the acquisition unit is used for acquiring an instruction output mode of the workshop equipment on the manufactured product, wherein the instruction output mode specifically comprises a manual output instruction and a remote output instruction;
the judging unit is used for judging whether the instruction output mode is influenced by the environment of the production workshop or not;
and the execution unit is used for acquiring the noise level of each device in the production workshop if the noise level is generated, acquiring each output frequency of the noise level, and performing the same-frequency processing on each output frequency to generate the same-frequency noise of the production workshop.
In this embodiment, the system obtains an instruction output mode of the workshop apparatus for the manufactured product, and then the system judges whether the instruction output mode is affected by the environment of the production workshop, so as to execute corresponding steps; for example, when the system determines that the instruction output mode is not affected by the environment of the production workshop, the system considers that the instruction transmission and execution mode can be kept stable and reliable under various production environment conditions, but the system still applies a pre-designed robust communication protocol to ensure the reliability of the instruction transmission, and comprises an error detection and correction mechanism to cope with the communication problem possibly caused by the environment interference, and meanwhile, a backup and redundancy system of the instruction transmission is arranged to prevent single-point faults, if a certain workshop device is affected by the environment to cause failure, the system can be quickly switched to a standby system to output the instruction, test and verification are suggested in the actual production workshop environment, the working condition under various environment conditions is simulated, and the stable and reliable instruction output mode is ensured to be realized in the actual operation; for example, when the system determines that the instruction output mode is affected by the environment of the production workshop, the system collects the noise level of each workshop device in the production workshop, obtains each output frequency of the noise level, performs the same-frequency processing on the output frequencies to generate the same-frequency noise of the production workshop, and helps to take targeted noise control measures, such as noise reduction or adjustment in a specific frequency range, by accurately knowing the noise frequency distribution situation generated by different devices, so as to reduce the influence on workers and the environment.
In this embodiment, the second execution module further includes:
the uploading unit is used for carrying out time-sharing acquisition on the environmental data of the production workshop according to a preset period based on a communication protocol preset by the preset sensor and the workshop equipment through the Internet of things, and uploading the time-sharing environmental data to a preset platform;
the second judging unit is used for judging whether the time-sharing environment data exceeds a preset threshold value or not;
and the second execution unit is used for carrying out visualization operation on the time-sharing environment data on the platform if the time-sharing environment data are the same, generating the visualization data of the time-sharing environment data, and synchronizing the visualization data into a preset mobile device, wherein the visualization data specifically comprise chart data, horizontal data and instrument panel data.
In this embodiment, the system acquires a preset communication protocol between the internet of things and the workshop equipment based on a preset network analyzer, performs time-sharing acquisition on environmental data of the production workshop according to a preset time period, uploads the time-sharing environmental data to a preset platform, and then the system judges whether the time-sharing environmental data exceeds a preset threshold value to execute corresponding steps; for example, when the system determines that the time-sharing environmental data do not exceed a preset threshold value, the system considers that the environmental conditions in the current period are in a normal range and do not reach the level of needing to pay attention to or take urgent measures, the system continuously monitors the environmental data of the production workshop, ensures that the environmental conditions are known in real time, records the environmental data so as to facilitate reference analysis of the later environmental data changes as data, simultaneously checks whether the sensor operates normally, and confirms the accuracy and stability of the sensor for collecting the environmental data by periodically calibrating so as to ensure the credibility of the data, continuously monitors the trend of the environmental data, records and knows the change trend of the data, can effectively predict potential environmental problems in advance and takes appropriate preventive and improving measures even if the current data is normal; for example, when the system determines that the time-sharing environmental data exceeds a preset threshold value, the system performs a visual operation on the time-sharing environmental data on the platform to generate visual data of the time-sharing environmental data, synchronizes the visual data into a preset mobile device, is convenient for workshop staff personnel to view and execute corresponding measures in real time, can enable personnel to monitor the environmental condition of a production workshop in real time, can clearly know the real-time change trend of each environmental data through visual chart level or instrument panel data, helps to find abnormal conditions in time, allows management personnel to remotely access the visual environmental data at any time and any place, is very useful for management layers needing frequent outing or needing remote decision, stores and records the visual data so that historical data analysis is simple, and can identify and analyze the potential trend, periodic change or problem occurrence mode by viewing the historical data, thereby optimizing the production environment.
In this embodiment, further comprising:
the second acquisition module is used for recycling the generated waste of the manufactured product based on the preset intelligent waste classification and acquiring the recycled waste corresponding to the generated waste;
a fourth judging module for judging whether the recovered waste material matches the manufacturing material of the pre-recorded product;
and the fourth execution module is used for identifying waste components required by the manufacturing materials if the waste components are required, carrying out preset sorting and cleaning on the recovered waste, carrying out preset processing and manufacturing on the recovered waste, and acquiring secondary production materials matched with the manufacturing materials from the recovered waste.
In this embodiment, the system recycles the waste generated after the manufactured product is manufactured based on the preset intelligent waste classification, obtains the recycled waste corresponding to the generated waste, and then the system judges whether the recycled waste matches the product manufacturing material recorded in advance to execute the corresponding steps; for example, when the system determines that the recycled waste cannot match the pre-recorded product manufacturing materials, the system considers that the recycled waste possibly contains other materials which are not matched with the expected product manufacturing materials or are polluted to be in accordance with the product quality standard, the system determines the components and the quality of the waste through quality detection and analysis of the recycled waste, such as spectroscopic analysis and chemical analysis, so as to determine whether the components which are not in accordance with the requirements exist in the waste, and simultaneously ensures that the collection, treatment and separation rings in the recycling process can effectively maintain the purity of the waste and reduce the possibility of mixing and pollution, and ensures that the recycled waste meets the requirements of the product manufacturing according to the pre-set strict waste standard, including specific requirements on the content and the purity of various components in the waste; for example, when the system determines that the recycled waste materials can be matched with the product manufacturing materials recorded in advance, the system recognizes waste material components required by the manufacturing materials, performs preset sorting and cleaning on the recycled waste materials, performs preset processing and manufacturing on the recycled waste materials, obtains secondary product materials matched with the manufacturing materials from the recycled waste materials, and realizes effective recycling and recycling of the waste materials through recognition, sorting and cleaning of the waste materials, thereby reducing the requirement for new raw materials, helping to reduce resource waste, reducing the amount of waste materials to be processed, reducing the dependence on other processing modes such as landfill or incineration, helping to slow down the pressure on the environment, and the preset waste sorting, cleaning and processing and manufacturing processes can improve the production efficiency, ensure that the recycled waste materials meet the requirements of the manufacturing materials, and reduce the uncertainty in subsequent production.
In this embodiment, the judging module further includes:
an acquisition unit for acquiring a preset usable period of the manufactured product;
a third judging unit, configured to judge whether the available period exceeds a preset time limit;
and the third execution unit is used for identifying the raw material content of the manufactured product, generating a waste class of the manufactured product based on the raw material content and collecting at least one waste resource of the waste class based on the preset time limit if not.
In this embodiment, the system acquires a preset available period of the manufactured product, and then determines whether the available period exceeds a preset time limit, so as to execute a corresponding step; for example, when the system determines that the available period exceeds a preset time limit, the system considers the material of the manufactured product to exceed the quality guarantee period, the system informs workshop staff to stop throwing any waste related to the expired product into the recovery system, meanwhile, the collected waste is isolated, the waste is ensured not to be used for production, the workshop staff is recommended to clean the waste related to the expired product, which is already in the recovery system, including cleaning pipelines, equipment and storage areas, so that the workshop environment is always comfortable; for example, when the system determines that the available period does not exceed a preset time limit, the system identifies the raw material content of the manufactured product, generates a waste class of the manufactured product based on the raw material content, collects at least one waste resource in the waste class based on the preset time limit, and serves as a secondary recovery resource of other manufactured products.
In this embodiment, further comprising:
a third acquisition module for acquiring a product identifier preset by the manufactured product based on a preset sensor;
a fifth judging module, configured to judge whether the product identifier meets a pre-recorded product type;
and the fifth execution module is used for extracting the production data of the manufactured product if not, uploading the production data to a preset platform, and establishing a production plan of the manufactured product in real time through the platform, wherein the production data specifically comprises production positions, production stages and production quantity, and the production plan specifically comprises production resource allocation, production period and production process.
In this embodiment, the system acquires product identifiers preset for manufacturing products based on a preset bar code scanner, and then determines whether the product identifiers conform to the product types recorded in advance, so as to execute corresponding steps; for example, when the system determines that the product identifier can conform to the product type recorded in advance, the system considers that the product production conforms to the expectation, and the identification of the product type is accurate, the system ensures that the actual performance and characteristics of the product conform to the identifier by verifying whether the product identifier accurately reflects the actual type and characteristics of the product, and simultaneously confirms that the product conforms to the preset quality standard and specification, because the consistency of the product type and the identifier helps to ensure the quality and consistency of the product, the manufactured workshop product is prevented from polluting the workshop environment; for example, when the system determines that the product identifier does not conform to the type of the product recorded in advance, the system extracts production data of the manufactured product, uploads the production data to a preset monitoring platform, workshop staff can establish a production plan of the manufactured product in real time through the monitoring platform, the system can monitor the production data in real time through the workshop staff, including production positions, production stages, production quantity and the like, so that potential production problems can be found and solved in time, stability of the production process is improved, meanwhile, the production plan is quickly adjusted when needed to adapt to sudden production requirements, equipment faults or other unpredictable conditions, and the workshop staff adjusts the production plan according to the real-time production requirements, so that excessive stock backlog can be avoided, and efficiency of stock management is improved.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (6)

1. The production workshop environment optimization method based on the Internet of things is characterized by comprising the following steps of:
identifying a current manufactured product within the production facility;
judging whether the manufactured product generates pre-recorded waste;
if yes, acquiring energy consumption data of the manufactured product on workshop equipment by using a preset sensor based on a preset production strategy of the manufactured product, acquiring production parameters of the workshop equipment on the manufactured product, dynamically adjusting the production parameters according to a preset production flow, and identifying the production efficiency of the manufactured product, wherein the production parameters specifically comprise temperature, pressure and speed;
judging whether the production efficiency is matched with preset high production efficiency or not;
if the environmental data are matched, monitoring the environmental data of the production workshop by using a pre-deployed environmental detection script, collecting loss data of the environmental data on workshop equipment, acquiring lost information of the workshop equipment, and constructing maintenance content of the workshop equipment according to the lost information, wherein the environmental data specifically comprise air quality, gas concentration and pollution index;
Before the step of generating the preset production strategy based on the manufactured product, the method further comprises the following steps:
acquiring prenatal description content of the manufactured product, wherein the prenatal description content specifically comprises a production process, material selection and manufacturing standards;
judging whether the prenatal instruction content accords with a preset environmental protection standard or not;
if not, recording the production content of the manufactured product, establishing a production period of the manufactured product based on the production content, and limiting the workshop equipment to only produce the manufactured product in the production period, wherein the production content specifically comprises waste treatment, energy use and emission control;
wherein, the step of dynamically adjusting the production parameters according to a preset production flow and identifying the production efficiency of the manufactured product further comprises:
acquiring an instruction output mode of the workshop equipment on the manufactured product, wherein the instruction output mode specifically comprises a manual output instruction and a remote output instruction;
judging whether the instruction output mode is influenced by the environment of the production workshop or not;
if yes, collecting the noise level of each device in the production workshop, acquiring each output frequency of the noise level, and performing same-frequency processing on each output frequency to generate same-frequency noise of the production workshop.
2. The method for optimizing the environment of a production plant based on the internet of things according to claim 1, wherein the step of monitoring the environmental data of the production plant by applying the pre-deployed environmental detection script comprises:
based on a communication protocol preset by a preset sensor through the Internet of things and the workshop equipment, carrying out time-sharing acquisition on the environmental data of the production workshop according to a preset period of time, and uploading the time-sharing environmental data to a preset platform;
judging whether the time-sharing environment data exceeds a preset threshold value or not;
if yes, performing visualization operation on the time-sharing environment data on the platform, generating visualization data of the time-sharing environment data, and synchronizing the visualization data into a preset mobile device, wherein the visualization data specifically comprises chart data, horizontal data and instrument panel data.
3. The method for optimizing the environment of a production plant based on the internet of things according to claim 1, wherein after the step of determining whether the production efficiency is higher than the preset high efficiency, further comprises:
recycling the generated waste of the manufactured product based on a preset intelligent waste classification, and obtaining the recycled waste corresponding to the generated waste;
Judging whether the recovered waste material is matched with the manufacturing material of a pre-recorded product;
if yes, identifying waste components required by the manufacturing materials, carrying out preset sorting and cleaning on the recycled waste, carrying out preset processing and manufacturing on the recycled waste, and obtaining secondary production materials matched with the manufacturing materials from the recycled waste.
4. The method for optimizing an environment in a production plant based on the internet of things according to claim 1, wherein the step of determining whether the manufactured product generates pre-recorded scrap further comprises:
acquiring a preset usable period of the manufactured product;
judging whether the available period exceeds a preset time limit or not;
if not, identifying the raw material content of the manufactured product, generating a waste class of the manufactured product based on the raw material content, and collecting at least one waste resource of the waste class based on the preset time limit.
5. The method for optimizing the environment of a production plant based on the internet of things according to claim 1, wherein before the step of identifying the current manufactured product in the production plant, further comprises:
acquiring a preset product identifier of the manufactured product based on a preset sensor;
Judging whether the product identifier accords with a pre-recorded product type or not;
if not, extracting production data of the manufactured product, uploading the production data to a preset platform, and establishing a production plan of the manufactured product in real time through the platform, wherein the production data specifically comprises production positions, production stages and production quantity, and the production plan specifically comprises production resource allocation, production period and production process.
6. Production workshop environment optimizing system based on thing networking, characterized by comprising:
the identification module is used for identifying the current manufactured products in the production workshop;
a judging module for judging whether the manufactured product will generate pre-recorded waste;
the execution module is used for acquiring energy consumption data of the manufactured product to workshop equipment by using a preset sensor based on a preset production strategy of the manufactured product if the manufactured product is produced, acquiring production parameters of the workshop equipment to the manufactured product, dynamically adjusting the production parameters according to a preset production flow, and identifying the production efficiency of the manufactured product, wherein the production parameters comprise temperature, pressure and speed;
The second judging module is used for judging whether the production efficiency is matched with the preset high production efficiency or not;
the second execution module is used for monitoring the environmental data of the production workshop by applying a pre-deployed environmental detection script if the environmental data are matched, acquiring the loss data of the environmental data on the workshop equipment, acquiring the loss information of the workshop equipment, and constructing maintenance content of the workshop equipment according to the loss information, wherein the environmental data specifically comprise air quality, gas concentration and pollution index;
wherein, still include:
the acquisition module is used for acquiring the prenatal description content of the manufactured product, wherein the prenatal description content specifically comprises a production process, material selection and manufacturing standards;
the third judging module is used for judging whether the prenatal instruction content accords with a preset environmental protection standard;
a third execution module, configured to record production content of the manufactured product, establish a production period of the manufactured product based on the production content, and limit the production of the manufactured product by the plant equipment only in the production period, where the production content specifically includes waste treatment, energy use, and emission control;
Wherein the execution module further comprises:
the acquisition unit is used for acquiring an instruction output mode of the workshop equipment on the manufactured product, wherein the instruction output mode specifically comprises a manual output instruction and a remote output instruction;
the judging unit is used for judging whether the instruction output mode is influenced by the environment of the production workshop or not;
and the execution unit is used for acquiring the noise level of each device in the production workshop if the noise level is generated, acquiring each output frequency of the noise level, and performing the same-frequency processing on each output frequency to generate the same-frequency noise of the production workshop.
CN202311794424.5A 2023-12-25 2023-12-25 Production workshop environment optimization method and system based on Internet of things Active CN117455080B (en)

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