An online feed production monitoring system based on big data analysis

Abstract

The application provides a feed online production monitoring system based on big data analysis, and relates to the technical field of feed production, and comprises: a feeding module, which is used for acquiring characteristic information of feed raw materials and simultaneously conveying the raw materials to a batching module; the batching module is used for acquiring batching information input on a feed production platform, and simultaneously, based on the characteristic information of the raw materials and the batching information, the raw materials conveyed by the feeding module are proportioned and produced; a monitoring module is used for monitoring a proportioning production process; and a control module is used for adaptively adjusting the running states of the feeding module and the batching module based on monitoring results. The quality monitoring level in the feed proportioning production process is improved, and thus the efficiency of the feed production operation is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of feed production, in particular to a feed online production monitoring system based on big data analysis. BACKGROUND

[0002] The continuous development of science and technology has brought qualitative changes to various industries. For example, feed production refers to the feed that can be used for the growth, reproduction and production of various livestock products or for the needs of the livestock based on meeting the nutritional needs of livestock for life. Different types, breeds, ages, reproductive periods and different purposes of livestock have different types and quantities of nutritional substances. Therefore, in order to fully develop the production performance of livestock and achieve better economic results, it is necessary to correctly prepare the production feed according to the characteristics of the growth and development or production needs of various livestock.

[0003] Traditional feed production technology usually needs to allocate a large amount of manpower and material resources for production management and quality monitoring, and the employment level of personnel is uneven, which is difficult to guarantee the quality monitoring in the feed production process. With the application of automation technology in the production field, although the automatic production technology has been introduced in the feed production operation at present, the operation efficiency of feed production is greatly improved, but the quality monitoring and monitoring accuracy in the feed proportioning process are still at a low level.

[0004] Therefore, the present application provides a feed online production monitoring system based on big data analysis. SUMMARY

[0005] The present application provides a feed online production monitoring system based on big data analysis, which is used to improve the quality monitoring level in the feed proportioning production process, and further improve the efficiency of feed production operation.

[0006] The present application provides a feed online production monitoring system based on big data analysis, which comprises:

[0007] The feeding module is used to obtain the characteristic information of the feed raw material, and simultaneously convey the raw material to the proportioning module;

[0008] The proportioning module is used to obtain the proportioning information input on the feed production platform, and simultaneously proportion and produce the raw material conveyed by the feeding module based on the characteristic information of the raw material and the proportioning information;

[0009] The monitoring module is used to monitor the proportioning and production process;

[0010] The control module is used to adaptively adjust the running state of the feeding module and the proportioning module based on the monitoring result.

[0011] Preferably, the feeding module comprises:

[0012] The identification unit is used for identifying and inputting characteristic information of the raw materials, wherein the characteristic information comprises the types of the raw materials, the amounts of different types of the raw materials, the temperature and the humidity.

[0013] The unloading unit is used for analyzing and processing the characteristic information, determining the temporary storage positions of each type of the raw materials, and temporarily storing the corresponding raw materials.

[0014] The conveying unit is used for conveying the raw materials at the temporary storage positions to the batching module after receiving the permission batching instruction sent by the control module.

[0015] Preferably, the batching module comprises:

[0016] The keyword acquisition unit is used for acquiring livestock and poultry information input based on the feed production platform, and screening a first keyword related to the type of livestock and poultry and a second keyword related to the growth stage of livestock and poultry.

[0017] The screening unit is used for comprehensively analyzing the first keyword and the second keyword, determining a first screening factor, and screening a first screening result matching the first screening factor in the batching database.

[0018] The factor determination unit is used for acquiring the growth stage of the corresponding type of livestock and poultry matching the first screening result, comparing the acquisition result with preset stage data in the batching database, determining a second screening factor, and screening a second screening result matching the second screening factor in the batching database.

[0019] The analysis processing unit is used for analyzing and processing the second screening result to obtain corresponding target batching information.

[0020] The target batching information is processed to acquire raw material demand information matching the batching information, wherein the raw material demand information comprises raw material type demand and raw material quantity demand.

[0021] The comparative analysis unit is used for comparing and analyzing the raw material type demand and the types of the current raw materials acquired based on the feeding module.

[0022] If the types of the current raw materials meet the raw material type demand, the quantity corresponding to the types of the current raw materials is compared and analyzed with the raw material quantity demand.

[0023] If the quantity corresponding to the types of the current raw materials meets the raw material quantity demand, a permission conveying instruction is sent to the temporary storage position temporarily storing the corresponding raw material types based on the target batching information, a batching instruction consistent with the batching information is matched in the instruction database, and the conveyed raw materials are subjected to batching operation.

[0024] A temperature and humidity acquisition unit is configured to acquire target temperature and target humidity of the feed matched with the target proportioning information during the proportioning operation, and calculate temperature difference and humidity difference of the current raw material in combination with the temperature and humidity of the raw material acquired by the identification unit;

[0025] An operation control unit is configured to filter the temperature control instruction and the humidity control instruction matched in the instruction library according to the temperature difference and the humidity difference, and perform corresponding operation on the raw material during the raw material proportioning until the temperature difference and the humidity difference are less than the corresponding preset threshold value.

[0026] A transfer unit is configured to transfer the feed product after the proportioning operation to the storage area matched with the proportioning information.

[0027] Preferably, the monitoring module comprises:

[0028] A state monitoring unit is configured to monitor real-time running information of the feeding module and the proportioning module during the proportioning operation, and the real-time running information comprises temperature and humidity of the working environment corresponding to the module, temperature and voltage of the module itself, and operation parameters of the module itself.

[0029] An information processing unit is configured to analyze and process the monitored real-time running information to determine the execution state of the corresponding module at different times.

[0030] Preferably, the monitoring module further comprises:

[0031] A sampling inspection unit is configured to quantitatively sample the feed product generated by the proportioning module, and acquire the current proportioning information of the sampled product.

[0032] An analysis unit is configured to compare and analyze the current proportioning information with the corresponding feed proportioning data in the proportioning database to evaluate the quality grade of the feed product.

[0033] Meanwhile, based on the analysis and processing of the current proportioning information, the proportion information of each raw material in the current feed product is acquired, and the quality grade information of the current feed product, the raw material proportion information and the proportioning information are bound with the batch of feed product to generate product information of the current batch of feed product.

[0034] Preferably, the analysis unit comprises:

[0035] A comparative analysis subunit is configured to compare and analyze the proportion data in the current proportioning information with the control data in the feed proportioning information one by one.

[0036] When the error value of the comparative analysis result is greater than the preset error threshold value, the batch of feed product corresponding to the current sample is re-inspected.

[0037] The feed recovery analysis subunit is configured to, when the error value generated by the re-inspection is still greater than the preset error threshold, screen, in a feed database, secondary utilization feed information having a similarity to the current batching information that exceeds a preset similarity;

[0038] The raw material conflict factor is determined by comparing and analyzing the raw material types and raw material proportions in the current batching information and the raw material types and raw material proportions in the secondary utilization feed information;

[0039] If the raw material conflict factor is greater than a preset conflict factor threshold, the feed end product corresponding to the current batching information is transported to a waste treatment area for re-batching processing, and raw material recovery type information and quantity information of the current batch of feed are counted.

[0040] Meanwhile, raw material type demand information of a future batch is obtained in real time, and when a set corresponding to the raw material recovery type information belongs to a subset of a set corresponding to the future batch, a waste recovery instruction is generated based on comprehensive processing and analysis of the raw material recovery type information and quantity information, and a recovery quantity of the corresponding feed end product is determined. Based on analysis and processing of the waste recovery instruction and the recovery quantity, the control module is used to crush the feed end product of the batch in the waste treatment area and re-batch production.

[0041] If the raw material conflict factor is not greater than the preset conflict factor threshold, feed end product storage area information matched with the secondary utilization feed information is obtained, and the control module is used to transport the feed end product of the batch to the storage area matched with the secondary utilization feed information.

[0042] Preferably, the control module comprises:

[0043] The automatic control unit is configured to retrieve an operation instruction matched with the monitoring result in an instruction database, and send the operation instruction to the feeding module and the batching module to control and execute corresponding operations.

[0044] The alarm unit is configured to retrieve a warning instruction matched with the monitoring result in a warning database, and send the warning instruction to the feeding module and the batching module to control and execute corresponding emergency processing operations.

[0045] Preferably, the operation control unit comprises:

[0046] The environment monitoring block is configured to monitor an initial batching environment of the raw material batching process, and obtain an initial environment temperature Cw and an initial environment humidity Cs.

[0047] The shooting block is configured to shoot the surface of the raw material before batching, obtain a first image of the raw material, and determine a void uniformity value of the raw material based on the first image.

[0048] ; wherein, represents the void uniform value of the raw material; exp represents the exponential function symbol; represents n circle regions randomly drawn based on the first image; represents the total number of voids contained in the j1th circle region; represents the radius of the j1th circle region; represents the diagonal line variance based on the presence of voids in the j1th circle region; represents the area void representative value of the j1th circle region; represents the maximum value in all ; represents the minimum value in all ; represents the fine tuning function of the value; the intensity calculation block is used to calculate the initial heating intensity Q1 and the initial dehumidification intensity Q2 in the raw material proportioning process according to the following formula:

[0049] ; wherein, represents the initial heating function of the raw material; represents the initial initial function of the raw material; represents the normal heating power of the heater; represents the temperature difference function of the target temperature and the raw material temperature ; represents the temperature difference function of the initial ambient temperature Cw and the raw material temperature ; represents the average heating temperature of the heater; represents the normal dehumidification power of the blower; represents the humidity difference function of the target humidity and the raw material humidity ; represents the humidity difference function of the initial ambient humidity and the raw material humidity ; represents the average dehumidification value of the heater;

[0050] The time determination block is used to determine the proportioning time of the raw material proportioning process, and based on the intensity-time mapping table, the matching time based on the initial heating intensity Q1 and the initial dehumidification intensity Q2 is determined.

[0051] The control work block is used to control the corresponding heater and dehumidifier to work at normal power according to the operation instructions corresponding to the initial heating intensity Q1 and the initial dehumidification intensity Q2 if the matching time is less than the proportioning time.

[0052] Otherwise, according to the ratio of the matching time and the matching time, the initial heating intensity Q1 and the initial dehumidification intensity Q2 are enhanced to control the corresponding heater and dehumidifier to work according to the enhanced power.

[0053] The beneficial effects of the technical scheme are: the feed raw material type, inventory, and corresponding temperature and humidity data can be obtained in real time through the feeding module, so that the characteristic information of the raw material can be monitored in real time, the monitoring level of the raw material state is improved, and then the corresponding livestock type and the corresponding growth stage of the batch feed production operation are obtained, the batching information corresponding to the batching information is obtained in the batching database, so that the raw material is produced. At the same time, the batching production process can be monitored in real time through the monitoring module, so that the efficiency of the batching production operation and the quality level of the feed production are greatly improved. The present application can also utilize the feed product that does not meet the requirements, reduce the step of re-batching the feed, and improve the utilization rate of the feed; when the feed product does not meet the requirements of secondary utilization, the current feed product is recycled as waste, and when the feed product meets the preset conditions, the feed product is re-batched in the future batch feed batching operation to produce new feed product, so that the waste of raw materials is reduced, the utilization rate of raw materials is improved, and the production efficiency of the feed production operation is improved.

[0054] Other features and advantages of the present application will be set forth in the following description, and in part will become apparent to those skilled in the art from the description, or can be learned by practice of the present application. The objects and other advantages of the present application can be achieved and obtained by the structure particularly pointed out in the written description, claims, and accompanying drawings.

[0055] The technical scheme of the present application will be further described in detail below with the help of the accompanying drawings and examples. BRIEF DESCRIPTION OF DRAWINGS

[0056] The accompanying drawings are intended to provide a further understanding of the present application, and constitute a part of the specification, together with the embodiments of the present application, to explain the present application, and do not constitute a limitation of the present application. In the drawings:

[0057] Figure 1 The figure is the architecture diagram of the feed online production monitoring system based on big data analysis in the embodiment of the present application. DETAILED DESCRIPTION

[0058] The preferred embodiments of the present application will be described below in conjunction with the accompanying drawings, and it should be understood that the preferred embodiments described herein are only used to illustrate and explain the present application, and do not limit the present application.

[0059] REFERENCE Figure 1The embodiment of the present application provides a feed online production monitoring system based on big data analysis, which comprises:

[0060] A feeding module is used for acquiring characteristic information of feed raw materials and simultaneously conveying the raw materials to a batching module;

[0061] The batching module is used for acquiring batching information input on a feed production platform, and simultaneously, based on the characteristic information of the raw materials and the batching information, producing the raw materials conveyed by the feeding module by batching;

[0062] The monitoring module is used for monitoring the batching production process;

[0063] The control module is used for adaptively adjusting the running states of the feeding module and the batching module based on the monitoring result.

[0064] In the embodiment, the characteristic information comprises the types of raw materials required by the feed, the amounts of different types of raw materials, temperature and humidity and the like.

[0065] In the embodiment, the feed production platform is a feed production management platform used for receiving and processing external input instructions.

[0066] In the embodiment, the batching information comprises the types of livestock and poultry, the growth stages of different types of livestock and poultry, for example, the types of livestock and poultry comprise chickens, ducks, geese, cattle and sheep and the like, wherein the chickens comprise broilers, brown-headed chickens, pheasants and the like, the ducks comprise Tang ducks, green ducks and yellow flower ducks and the like; the growth stages of fast-growing broilers comprise a brooding period and a fattening period; the growth stages of free-range broilers comprise a brooding period, a growth period and a fattening period; egg chickens are divided into three growth stages of a brooding period, a growing period and an egg-laying period.

[0067] In the embodiment, the batching production is to acquire corresponding feed component information according to the types and growth stages of the livestock and poultry, and the feed production line performs batching operation on the raw materials for forming the feed according to the feed component information, so as to generate a feed product with the same feed components.

[0068] In the embodiment, the monitoring module is used for monitoring the feed batching production process in real time according to various sensors and monitoring devices arranged on the feed production line.

[0069] In the embodiment, the running state is that the control module analyzes and processes the monitoring result, and sends corresponding operation instructions to the feeding module and the batching module based on the analysis result, without manual input of instructions, so as to realize automatic adjustment of the feed batching production operation.

[0070] The beneficial effects of the above technical scheme are: the present application can obtain the type, inventory, and corresponding temperature and humidity data of the feed raw material in real time through the feeding module, so that the characteristic information of the raw material can be monitored in real time, the monitoring level of the raw material state is improved, and then the corresponding livestock and poultry species and the corresponding growth stage of the batch feed production operation are obtained, the matching information corresponding to the batching information is obtained in the batching database, so that the raw materials are produced by matching. At the same time, the matching production process can be monitored in real time through the monitoring module, so that the efficiency of the matching production operation and the quality level of the feed production are greatly improved.

[0071] The embodiment of the present application provides a feed online production monitoring system based on big data analysis, a feeding module, comprising:

[0072] A recognition unit is used for recognizing and inputting the characteristic information of the raw material, wherein the characteristic information comprises the type of the raw material, the amount of different types of raw materials, temperature and humidity;

[0073] A discharging unit is used for analyzing and processing the characteristic information, determining the temporary storage position of each raw material, and temporarily storing the corresponding raw material.

[0074] A conveying unit is used for conveying the raw material at the temporary storage position to the batching module after receiving the matching instruction sent by the control module.

[0075] In the embodiment, the recognition unit: the characteristic information of the raw material is recognized and inputted into the feed production system according to the camera or other scanning recognition device, so that the feed production system can be transparently managed;

[0076] In the embodiment, the discharging unit: according to the recognition result of the recognition unit, and in combination with the temporary storage position information corresponding to the raw material obtained from the database, the raw material inputted into the feed production system is temporarily stored;

[0077] In the embodiment, the temporary storage position: an area for temporarily storing different types of raw materials, which is convenient for conveying the raw material to the batching module during the raw material matching production operation;

[0078] In the embodiment, the matching instruction: when the control module obtains the matching information corresponding to the batching information, the instruction for mobilizing the raw material at the temporary storage position is sent to the conveying unit;

[0079] The beneficial effects of the above technical solutions are: the raw material type, quantity, temperature and humidity information entering the feed production system can be accurately obtained by the recognition unit, so that the state of the raw material can be monitored in real time, and the transparency of the raw material information is improved; meanwhile, the raw material can be temporarily stored at the temporary storage position, which facilitates the subsequent calling of the raw material for proportioning production, reduces the waste of manpower and material resources, and greatly improves the operation efficiency of the proportioning production.

[0080] The embodiment of the application provides a feed online production monitoring system based on big data analysis, and a proportioning module, which comprises:

[0081] A keyword acquisition unit is configured to acquire livestock and poultry information input based on a feed production platform, and filter first keywords related to livestock and poultry types and second keywords related to livestock and poultry growth stages;

[0082] A filtering unit is configured to comprehensively analyze the first keywords and the second keywords, determine a first filtering factor, and filter a first filtering result matched with the first filtering factor in a proportioning database;

[0083] A factor determination unit is configured to acquire a growth stage of a corresponding type of livestock and poultry matched with the first filtering result, compare the acquisition result with preset stage data in the proportioning database, determine a second filtering factor, and filter a second filtering result matched with the second filtering factor in the proportioning database;

[0084] An analysis processing unit is configured to analyze and process the second filtering result to obtain corresponding target proportioning information;

[0085] The target proportioning information is processed to acquire raw material demand information matched with the proportioning information, wherein the raw material demand information comprises raw material type demand and raw material quantity demand;

[0086] A comparative analysis unit is configured to compare and analyze the raw material type demand with the type of the current raw material acquired based on the feeding module;

[0087] If the type of the current raw material meets the raw material type demand, the quantity corresponding to the type of the current raw material is compared and analyzed with the raw material quantity demand;

[0088] If the quantity corresponding to the type of the current raw material meets the raw material quantity demand, an allow-to-transport instruction is sent to a temporary storage position temporarily storing the corresponding raw material type based on the target proportioning information, and a proportioning instruction consistent with the proportioning information is matched in an instruction database to perform proportioning operation on the transported raw material;

[0089] The temperature and humidity acquisition unit is configured to acquire a target temperature and a target humidity of the feed matched with the target proportioning information during the proportioning operation, and calculate a temperature difference and a humidity difference of the current raw material in combination with the temperature and humidity of the raw material acquired by the identification unit;

[0090] The operation control unit is configured to select the temperature control instruction and the humidity control instruction matched with the instruction library according to the temperature difference and the humidity difference, and perform corresponding operations on the raw material during the raw material proportioning operation until the temperature difference and the humidity difference are less than the corresponding preset threshold value.

[0091] The transfer unit is configured to transfer the feed product after the proportioning operation to a storage area matched with the proportioning information.

[0092] In this embodiment, the livestock information includes: the type of livestock, and the growth stage corresponding to different types of livestock;

[0093] In this embodiment, the first keyword: a keyword about the type of livestock in the system input livestock information, for example, the first keyword of chicken, duck, goose, cow, sheep, etc. is searched in the input livestock information, and when the input livestock information is broiler rearing period, the first keyword searched is chicken;

[0094] In this embodiment, the second keyword: a keyword about the growth stage of different types of livestock in the system input livestock information, for example, the second keyword of period, time period, stage, etc. is searched in the input livestock information, and when the input livestock information is broiler rearing period, the second keyword searched is broiler rearing period;

[0095] In this embodiment, the first screening factor: a screening coefficient matched with the livestock type information corresponding to the first keyword, used to select suitable data in the proportioning database, for example, the first keyword is chicken, and the species information related to chicken is searched in the species database, and the first screening factor corresponding to chicken searched is galliformes phasianidae;

[0096] In this embodiment, the first screening result: a screening result related to the livestock type information obtained by analyzing and processing the first screening factor in the proportioning database, for example, the first keyword is chicken, and the first screening factor is galliformes phasianidae, and then the results within the scope of galliformes phasianidae are screened in the proportioning database;

[0097] In this embodiment, the second screening factor: one-to-one correspondence with the second keyword, and the screening coefficient of the livestock and poultry growth stage matched with the first screening result, for example, the first keyword is broiler, and the second keyword is brooding period, the species database is searched for species information related to broiler, and it is determined that the first screening factor is Galliformes Phasianidae Gallus gallus domesticus, and the growth stage information related to the brooding period is searched in the ingredient database, and it is determined that the second screening factor is the brooding stage;

[0098] In this embodiment, the second screening result: the screening result matched with the livestock and poultry species and growth stage input by the feed production platform in the ingredient database;

[0099] In this embodiment, the ingredient database: a database storing a large amount of feed ingredient information;

[0100] In this embodiment, the preset stage data: reference data for determining the growth stage corresponding to the current acquired livestock and poultry information, for example, the current broiler is 4 weeks old, and the matched growth stage in the ingredient database is the brooding period of 0-4 weeks;

[0101] In this embodiment, the target ingredient information: the feed ingredient information corresponding to the second screening result, for example, the second screening result is broiler brooding period, and the target ingredient information is the broiler brooding period feed ingredient information matched with the broiler brooding period;

[0102] In this embodiment, the raw material demand information: the raw material information required in the feed corresponding to the target ingredient information obtained by processing and analyzing the acquired target ingredient information, including raw material type demand and raw material quantity demand, for example, the raw material type demand information of broiler brooding period is: corn, soybean meal, calcium hydrogen phosphate, stone powder, salt, etc. The raw material quantity demand information required for this batch is: 2 tons of corn, 1.5 tons of soybean meal, 40 kg of calcium hydrogen phosphate, etc.

[0103] In this embodiment, the allowable delivery instruction: when the quantity of raw materials in the temporary storage position meets the raw material quantity demand, the instruction sent by the control module for delivering the raw materials temporarily stored in the temporary storage position to the ingredient module;

[0104] In this embodiment, the ingredient instruction: an instruction for performing an ingredient operation on various raw materials delivered into the ingredient module;

[0105] In this embodiment, the instruction database: a database storing a large number of operation instructions, used for controlling the corresponding operation of each module and each unit in the feed production system;

[0106] In this embodiment, the temperature control instruction: an operation instruction for controlling the temperature in the ingredient production process;

[0107] In this embodiment, the wet control instruction is an operation instruction for controlling the humidity in the proportioning production process.

[0108] In this embodiment, the preset threshold is a threshold for determining whether the calculated temperature difference and humidity difference in the proportioning production process meet the preset condition of matching the target proportioning information, and is set in advance.

[0109] The beneficial effects of the above technical solution are: when the feed production platform inputs livestock information, the proportioning module retrieves target proportioning information matching the input livestock information in the proportioning database, thereby automatically retrieving raw materials according to the target proportioning information and performing proportioning operation, and the temperature and humidity in the proportioning process can be monitored in real time, and the finished feed product is automatically stored in the preset storage position, which not only improves the quality of the finished feed product, but also improves the automation level of the proportioning module.

[0110] The embodiment of the present application provides a feed online production monitoring system based on big data analysis, and a monitoring module, which comprises:

[0111] The state monitoring unit is used for monitoring the real-time running information of the feeding module and the proportioning module in the proportioning process, and the real-time running information comprises the temperature and humidity of the working environment corresponding to the module, the temperature and voltage of the module itself, and the operation parameters of the module itself.

[0112] The information processing unit is used for analyzing and processing the monitored real-time operation information to determine the execution state of the corresponding module at different times.

[0113] In this embodiment, the operation parameters of the corresponding module itself include the running data of each unit in the feeding module and the proportioning module, such as the running voltage, running current, load condition and other data of each unit.

[0114] In this embodiment, the execution state is the working state of each module when executing the corresponding control instruction.

[0115] The beneficial effects of the above technical solution are: the state monitoring unit of the present application monitors the environmental information and operation parameters of the feeding module and the proportioning module in the feed proportioning process in real time, can monitor the running state of each module in real time, improves the monitoring level in the feed proportioning process, enables the working personnel to obtain the running state of each module in real time, reduces the possibility that the feed production is affected due to module failure, guarantees the normal production operation of the feed, and further improves the safety management level in the feed production process.

[0116] The embodiment of the present application provides a feed online production monitoring system based on big data analysis, and a monitoring module, which further comprises:

[0117] The sampling unit is used for quantitative sampling of the feed product generated by the batching module and detecting the current batching information of the sampling sample;

[0118] The analysis unit is used for comparative analysis of the current batching information and the corresponding feed batching data in the batching database, and evaluation of the quality grade of the feed product;

[0119] Meanwhile, based on the analysis and processing of the current batching information, the proportion information of each raw material in the current feed product is obtained, and the quality grade information of the current feed product, the raw material proportion information and the batching information are bound with the batch feed product to generate the product information of the current batch feed product.

[0120] In this embodiment, the quantitative sampling is used for sampling the produced feed product to detect whether the current feed product meets the preset condition;

[0121] In this embodiment, the current batching information is the batching information of the feed in the current sampling sample;

[0122] In this embodiment, the feed batching data is the batching information of each raw material in the target batching information corresponding to the current feed product;

[0123] In this embodiment, the quality grade is the grade of the gap between the current batching information of the sampling sample and the target batching information by comparing with the corresponding feed batching data in the batching database; the smaller the gap, the higher the quality grade;

[0124] In this embodiment, the product information is the product parameter containing the proportion information of each raw material of the current batch feed, the quality grade information and the corresponding livestock and poultry species, growth stage and other use information;

[0125] The beneficial effects of the above technical solution are: the batching information of the current batch feed product is sampled and detected by the sampling unit, and then the sampling and detection results are analyzed to obtain the product quality information of the current batch feed product, which improves the quality detection level in the feed batching production process, and the sampling and detection results are bound with the current batch feed product to generate the product information of the current batch feed product, thereby improving the transparent production level of the feed production system.

[0126] The embodiment of the present application provides a feed online production monitoring system based on big data analysis, and an analysis unit, comprising:

[0127] The comparative analysis subunit is used for one-to-one comparative analysis of the proportion data in the current batching information and the control data in the feed batching information;

[0128] When the error value of the comparative analysis result is greater than the preset error threshold value, the feed product corresponding to the current sample batch is rechecked;

[0129] The feed recycling analysis module is configured to, when the error value generated by the rechecking is still greater than the preset error threshold value, screen, in the feed database, secondary utilization feed information having a similarity to the current proportioning information that exceeds a preset similarity;

[0130] The raw material conflict factor is determined by comparing and analyzing the raw material types and the raw material proportions in the current proportioning information and the raw material types and the raw material proportions matched with the secondary utilization feed information;

[0131] If the raw material conflict factor is greater than a preset conflict factor threshold value, the feed product corresponding to the current batch of proportioning information is transported to a waste material processing area, re-proportioned, and the raw material recycling type information and the quantity information of the current batch of feed are counted;

[0132] Meanwhile, the raw material type demand information of a future batch is acquired in real time, and when the set of the raw material recycling type information belongs to a subset of the set corresponding to the future batch, a waste material recycling instruction is generated based on comprehensive processing and analysis of the raw material recycling type information and the quantity information, and the recycling quantity of the corresponding feed product is determined, and based on analysis and processing of the waste material recycling instruction and the recycling quantity, the feed product of the batch in the waste material processing area is crushed by the control module to be re-proportioned and produced;

[0133] If the raw material conflict factor is not greater than the preset conflict factor threshold value, the feed product storage area information matched with the secondary utilization feed information is acquired, and the feed product of the batch is transported to the storage area matched with the secondary utilization feed information by the control module.

[0134] In this embodiment, the preset error threshold value is a value used to determine whether the error between the proportion data of each raw material in the current proportioning information and the control data satisfies a preset condition, and is set in advance;

[0135] In this embodiment, the rechecking is an operation of re-detecting the feed product of the batch corresponding to the current sample when the error value of the comparative analysis result is greater than the preset error threshold value, and is used to reduce detection errors and improve detection accuracy;

[0136] In this embodiment, the preset similarity is a value used to determine whether the similarity between the current proportioning information and the comparative data of the feed database satisfies a recycling condition, and is set in advance;

[0137] In this embodiment, the secondary utilization feed information is target feed information that can be used for secondary utilization and has a similarity to the current proportioning information of the feed product of the current batch that exceeds a preset similarity;

[0138] In this embodiment, the raw material conflict factor: by comparing and analyzing the raw material type information and the raw material proportion information in the current batch of feed product with the data corresponding to the secondary utilization feed information, and then through the preset function to the comprehensive calculation of the comparison result of each raw material information, the coefficient for evaluating the conflict between the current proportion information and the secondary utilization feed information is obtained. The smaller the conflict factor is, the higher the probability of secondary utilization of the current feed product is;

[0139] In this embodiment, the preset conflict factor threshold: a parameter for judging whether the raw material conflict factor meets the requirement of secondary utilization of the current feed product to achieve the corresponding secondary utilization feed information, which is set in advance;

[0140] In this embodiment, the waste treatment area: an area for storing feed products that do not meet the secondary utilization. When the raw material conflict factor is greater than the preset conflict factor, i.e. the feed data that can be used for secondary utilization of the current batch of feed product cannot be found in the current feed database, the batch of feed product is stored in the fertilizer treatment area for subsequent recycling treatment;

[0141] In this embodiment, the raw material recycling type information and quantity information: the raw material type information and quantity information in the current batch of feed product in the fertilizer treatment area;

[0142] In this embodiment, the future batch: after the production task of the current batch of feed product is completed, the feed production task batch received by the feed production system within a period of time in the future;

[0143] In this embodiment, the waste recycling instruction: an instruction for recycling the feed product in the waste treatment area that meets the recycling condition;

[0144] In this embodiment, the recycling quantity: the quantity of recycling the current batch of feed product obtained by comparing and analyzing the current raw material recycling type information and quantity information with the raw material type requirement information and quantity information of the future batch;

[0145] In this embodiment, the feed product storage area information: an area for storing the feed product that can be used for secondary utilization and matches the secondary utilization feed information;

[0146] The beneficial effects of the above technical solutions are: when the current batch of feed products does not meet the requirements of the target matching information, first, the reference feed information similar to the current feed product is searched in the feed database, and then the feed product that does not meet the requirements is utilized again, so as to reduce the step of re-matching processing of the feed and improve the utilization rate of the feed; when the feed product does not meet the requirements of the secondary utilization, the current feed product is treated as waste material, when the set corresponding to the raw material recycling type information belongs to the subset of the set corresponding to the future batch raw material type demand information, the current raw material can be recycled and utilized, and the raw material can be re-matched to produce new feed products in the future batch feed matching operation, so that the waste of raw materials can be reduced, the utilization rate of raw materials can be improved, and the production efficiency of the feed production operation can be improved.

[0147] The embodiment of the present application provides a feed online production monitoring system based on big data analysis, and a control module, which comprises:

[0148] An automatic control unit is configured to search for operation instructions matched with the monitoring result in the instruction database, and send the operation instructions to the feeding module and the batching module to control the execution of corresponding operations.

[0149] An alarm unit is configured to search for warning instructions matched with the monitoring result in the early warning database, and send the warning instructions to the feeding module and the batching module to control the execution of corresponding emergency processing operations.

[0150] In the embodiment, the operation instructions are instructions for controlling the operation of each module selected from the instruction database.

[0151] In the embodiment, the early warning database is a database storing a large number of warning instructions matched with the monitoring result.

[0152] In the embodiment, the warning instructions are instructions for issuing warning information to the feeding module and the batching module matched with the monitoring result after being screened by the early warning database.

[0153] The beneficial effects of the above technical solutions are: based on the analysis and processing of the monitoring data obtained by the monitoring module, the automatic control unit issues operation instructions matched with the monitoring result for controlling the feeding module and the batching module, so that the automatic production of feed matching is realized, and the efficiency of feed production is greatly improved; at the same time, the alarm unit can give early warning to the equipment failure and safety problems in the feed production operation process, so that the safety management level of the feed production operation is improved.

[0154] The embodiment of the present application provides a feed online production monitoring system based on big data analysis, and a control module, which comprises:

[0155] An environment monitoring block is configured to monitor an initial environment of a raw material mixing process to obtain an initial environment temperature Cw and an initial environment humidity Cs.

[0156] A shooting block is configured to shoot a surface of the raw material before the raw material mixing to obtain a first image of the raw material, and determine a void uniformity value of the raw material based on the first image.

[0157] ; wherein, represents the void uniformity value of the raw material; exp represents an exponential function symbol; represents n circle regions randomly drawn based on the first image; represents a total number of voids contained in the j1th circle region; represents a radius of the j1th circle region; represents a diagonal line variance of the j1th circle region based on the existing voids; represents a region void representative value of the j1th circle region; represents a maximum value of all ; wherein, represents a minimum value of all ; wherein, represents a fine tuning function of the value; a strength calculation block is configured to calculate an initial heating strength Q1 and an initial dehumidification strength Q2 in the raw material mixing process according to the following formula:

[0158] ; wherein, represents an initial heating function of the raw material; represents an initial initial function of the raw material; represents a normal heating power of the heater; represents a target temperature and a temperature difference function of the raw material temperature ; wherein, represents a temperature difference function of the initial environment temperature Cw and the raw material temperature ; wherein, represents an average heating temperature of the heater; represents a normal dehumidification power of the blower; represents a target humidity and a humidity difference function of the raw material humidity ; wherein, represents a humidity difference function of the initial environment humidity and the raw material humidity ; wherein, represents an average dehumidification value of the heater;

[0159] A time determining block is configured to determine a matching time based on an initial heating intensity Q1 and an initial dehumidifying intensity Q2 according to a strength-time mapping table, wherein the matching time is determined based on a material proportioning process.

[0160] A control working block is configured to control the corresponding heater and dehumidifier to work at a normal power according to the operation instruction corresponding to the initial heating intensity Q1 and the initial dehumidifying intensity Q2 if the matching time is less than the proportioning time.

[0161] Otherwise, the initial heating intensity Q1 and the initial dehumidifying intensity Q2 are enhanced according to the ratio of the matching time to the proportioning time, so as to control the corresponding heater and dehumidifier to work at an enhanced power.

[0162] In this embodiment, the ambient temperature and the ambient humidity can be measured based on the temperature sensor and the humidity sensor.

[0163] In this embodiment, the n circle regions are randomly drawn, and have different sizes, which are mainly used for reasonably determining the uniformity of the gaps of the raw materials.

[0164] In this embodiment, the initial heating intensity and the initial dehumidifying intensity are calculated based on the related parameters, and different combinations of the parameters have corresponding intensity results, which are pre-set, that is, there are a heating database and a dehumidifying database. The heating database contains different combinations and the enhanced results corresponding to the combinations, so the enhanced results can be directly obtained. The dehumidifying database contains different combinations and the enhanced results corresponding to the combinations, so the enhanced results can be directly obtained.

[0165] In this embodiment, the strength-time mapping table contains different combinations of the initial heating intensity Q1, the initial dehumidifying intensity Q2, and the matching time, so the matching time can be directly obtained.

[0166] Because there is a corresponding proportioning time in the raw material proportioning process, which is mainly used for supervising and controlling the production, but the temperature and humidity need to be reasonable, at this time, the matching time needs to be adjusted, and then the power needs to be adjusted to improve the production efficiency and ensure the production safety.

[0167] The above technical scheme has the beneficial effects that: by monitoring the ambient temperature and humidity of the proportioning process and obtaining the image of the raw material, the initial dehumidification intensity and the initial heating intensity are calculated, so as to facilitate to reasonably and effectively produce the feed, and subsequently, by comparing the proportioning time and the matching time, the power of the heater and the dehumidifier is controlled, so as to ensure the drying of the raw material in the proportioning process, improve the production efficiency and ensure the production safety.

[0168] Obviously, various modifications and changes can be made to the present application by those skilled in the art without departing from the spirit and scope of the application. Accordingly, it is intended that all such modifications and changes be included within the scope of the application as defined in the following claims and their equivalents.

Claims

1. A big data analysis based feed online production monitoring system characterized in that, The application relates to a feed production platform, which comprises the following modules: a feeding module for obtaining characteristic information of feed raw materials and conveying the raw materials to a batching module; the batching module for obtaining batching information input by a feed production platform and batching the raw materials conveyed by the feeding module based on the characteristic information of the raw materials and the batching information; a monitoring module for monitoring the batching process; a control module for adaptively adjusting the running states of the feeding module and the batching module based on the monitoring results; the feeding module comprises an identification unit for identifying and inputting the characteristic information of the raw materials, wherein the characteristic information comprises the types of the raw materials, the amounts of different types of the raw materials, the temperatures and the humidities of the raw materials; the batching module comprises a temperature and humidity acquisition unit for obtaining target feed temperatures and target humidities matched with target batching information during the batching operation and calculating temperature differences and humidity differences of the current raw materials in combination with the temperatures and the humidities of the raw materials obtained by the identification unit; the batching module comprises an operation control unit for screening temperature control instructions and humidity control instructions matched with the temperature differences and the humidity differences in an instruction library and performing corresponding operations on the raw materials during the batching process until the temperature differences and the humidity differences are smaller than corresponding preset threshold values; the operation control unit comprises a shooting block for shooting the surfaces of the raw materials before the batching to obtain first images of the raw materials and determining the void uniformity values of the raw materials based on the first images; ; wherein, represents a void uniform value of the raw material; exp represents an exponential function symbol; represents n circle regions randomly drawn based on the first image; represents the total number of voids contained in the j1th circle region; represents the radius of the j1th circle region; represents the diagonal line variance based on the presence of voids in the j1th circle region; represents the area void representative value of the j1th circle region; represents the maximum value among all ; represents the minimum value among all ; represents a fine tuning function of the value; a strength calculation block for calculating the initial heating intensity Q1 and the initial dehumidification intensity Q2 in the raw material proportioning process according to the following formula; ; wherein, represents an initial heating function to the raw material; represents an initial dehumidification function to the raw material; represents a normal heating power of the heater; represents a target temperature a temperature difference function of the raw material temperature ; represents a temperature difference function of the initial ambient temperature Cw and the raw material temperature ; represents an average heating temperature of the heater; represents a normal dehumidification power of the blower; represents a target humidity a humidity difference function of the raw material humidity ; represents a humidity difference function of the initial ambient humidity and the raw material humidity ; represents an average dehumidification value of the heater; a time determination block for determining a batching time of the raw materials during the batching process and determining matching times based on initial heating intensity Q1 and initial dehumidification intensity Q2 based on an intensity-time mapping table; a control work block for controlling corresponding heaters and dehumidifiers to work at normal powers according to operation instructions corresponding to the initial heating intensity Q1 and the initial dehumidification intensity Q2 if the matching times are smaller than the batching time; otherwise, the initial heating intensity Q1 and the initial dehumidification intensity Q2 are enhanced according to the ratio of the matching times to the batching time to control the corresponding heaters and dehumidifiers to work at enhanced powers.

2. The online feed production monitoring system based on big data analysis according to claim 1, characterized in that, The feeding module further comprises: an unloading unit for analyzing and processing the characteristic information, determining temporary storage positions of each type of raw materials and temporarily storing the corresponding raw materials; a conveying unit for conveying the raw materials in the temporary storage positions to the batching module after receiving an allowed batching instruction sent by the control module.

3. The online feed production monitoring system based on big data analysis according to claim 2, characterized in that, The batching module further comprises: a keyword acquisition unit for obtaining livestock and poultry information input by the feed production platform and screening first keywords related to the types of livestock and poultry and second keywords related to the growth stages of livestock and poultry; a screening unit for comprehensively analyzing the first keywords and the second keywords, determining a first screening factor and screening a first screening result matched with the first screening factor in a batching database. The factor determining unit is configured to obtain a growth stage of the corresponding category of livestock and poultry matched with the first screening result, compare the obtained result with preset stage data in the ingredient database, determine a second screening factor, and screen a second screening result matched with the second screening factor in the ingredient database; The analysis processing unit is configured to analyze and process the second screening result to obtain corresponding target proportioning information; The target proportioning information is processed to obtain raw material demand information matched with the ingredient information, wherein the raw material demand information includes raw material category demand and raw material quantity demand; The comparison and analysis unit is configured to compare and analyze the raw material category demand with the category of the current raw material obtained based on the feeding module; If the category of the current raw material meets the raw material category demand, the quantity corresponding to the category of the current raw material is compared and analyzed with the raw material quantity demand; If the quantity corresponding to the category of the current raw material meets the raw material quantity demand, based on the target proportioning information, a permission conveying instruction is sent to a temporary storage location temporarily storing the corresponding raw material category, and a proportioning instruction consistent with the ingredient information is matched in an instruction database to proportion the conveyed raw material. The transfer unit is configured to transfer the feed product after the proportioning operation to a storage area matched with the ingredient information.

4. The online feed production monitoring system based on big data analysis according to claim 1, characterized in that, The monitoring module includes: The state monitoring unit is configured to monitor real-time running information of the feeding module and the ingredient module during the proportioning process, and the real-time running information includes temperature and humidity of a working environment of the corresponding module, temperature and voltage of the corresponding module itself, and operation parameters of the corresponding module itself. The information processing unit is configured to analyze and process the monitored real-time operation information to determine an execution state of the corresponding module at different times.

5. The online feed production monitoring system based on big data analysis according to claim 4, characterized in that, The monitoring module further includes: The sampling inspection unit is configured to quantitatively sample the feed product generated by the ingredient module and detect current proportioning information of the sampled sample. The analysis unit is configured to compare and analyze the current proportioning information with corresponding feed proportioning data in the ingredient database to evaluate a quality grade of the feed product. Meanwhile, based on the analysis and processing of the current proportioning information, proportion information of each raw material in the current feed product is obtained, and the quality grade information of the current feed product, the raw material proportion information, and the ingredient information are bound with the batch of feed product to generate product information of the current batch of feed product.

6. The online feed production monitoring system based on big data analysis according to claim 5, wherein, The analysis unit includes: The comparison and analysis subunit is configured to one-by-one compare and analyze proportion data in the current proportioning information with reference data in the feed proportioning information. When an error value of the comparison and analysis result is greater than a preset error threshold value, the batch of feed product corresponding to the current sample is re-inspected. The feed recycling analysis subunit is configured to, when an error value generated by the re-inspection is still greater than the preset error threshold value, screen secondary utilization feed information with a similarity to the current proportioning information exceeding a preset similarity in the feed database. The raw material conflict factor is determined by comparing and analyzing raw material categories and raw material proportions in the current proportioning information with raw material categories and raw material proportions matched in the secondary utilization feed information. If the raw material conflict factor is greater than the preset conflict factor threshold, the feed product of the current batch corresponding to the current matching information is transported to the waste treatment area, the matching process is re-performed, and the raw material recovery type information and quantity information of the current batch of feed are counted; At the same time, the raw material type demand information of the future batch is acquired in real time, when the set corresponding to the raw material recovery type information belongs to the subset of the set corresponding to the future batch, based on the comprehensive processing and analysis of the raw material recovery type information and quantity information, the waste recovery instruction is generated, and the recovery quantity of the corresponding feed product is determined, based on the analysis and processing of the waste recovery instruction and the recovery quantity, the feed product of the batch in the waste treatment area is crushed through the control module, and the matching production is re-performed; If the raw material conflict factor is not greater than the preset conflict factor threshold, the feed product storage area information matched with the secondary utilization feed information is acquired, and the batch of feed product is transported to the storage area matched with the secondary utilization feed information through the control module.

7. The online feed production monitoring system based on big data analysis according to claim 1, characterized in that, The control module comprises: An automatic control unit is configured to retrieve operation instructions matched with the monitoring results from the instruction database and send the operation instructions to the feeding module and the batching module to control and execute corresponding operations. An alarm unit is configured to retrieve warning instructions matched with the monitoring results from the warning database and send the warning instructions to the feeding module and the batching module to control and execute corresponding emergency processing operations.

8. The online feed production monitoring system based on big data analysis according to claim 3, characterized in that, The operation control unit further comprises: An environment monitoring block is configured to monitor the initial matching environment of the raw material matching process and acquire an initial environment temperature Cw and an initial environment humidity Cs.

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