An intelligent environmental detection system during the production and processing of surimi products

Abstract

The invention discloses an intelligent environment detection system in the process of fish paste product production and processing, which relates to the technical field of production environment monitoring, and comprises a data acquisition and storage module, a monitoring cycle dynamic adjustment module and an environment monitoring module; firstly, the processing flow and required data are collected, the freshness of materials is evaluated, and environmental monitoring is deployed at key storage and processing points, and the fish paste products are tracked by using RFID technology to establish a comprehensive production process database; secondly, according to the waiting time and freshness of materials and the volatility of environmental data, the waiting and processing monitoring cycles are flexibly adjusted to ensure monitoring efficiency and accuracy; finally, through continuous periodic data collection and linear fitting prediction, the environmental state is evaluated in real time, the environmental data is predicted according to the remaining time, the abnormality is discovered and warned in time, and the optimization of the production environment is guaranteed; this system realizes comprehensive, dynamic and accurate detection of the environment in the process of fish paste product production and processing by intelligent means.

Description

Technical Field

[0001] The invention relates to the technical field of production environment monitoring, in particular to an intelligent environment detection system in the production and processing of surimi products. Background Art

[0002] As an important aquatic product, the production process of surimi involves multiple links, including raw material processing, mincing, rinsing, beating, molding and heating. During these processes, environmental parameters such as temperature, humidity, light intensity and water quality have an important impact on the quality and safety of the final product. Therefore, realizing intelligent environmental detection during the production and processing of surimi products is of great significance for improving production efficiency, ensuring product quality and achieving sustainable development.

[0003] With the rapid development of the Internet of Things, cloud computing, big data and artificial intelligence technologies, the application prospects of intelligent environmental monitoring systems in the surimi product processing industry are becoming increasingly broad. By introducing intelligent technology, the comprehensive automation and intelligent management of the surimi product processing process can be realized, and production efficiency and product quality can be improved. At the same time, intelligent technology can also provide data support and decision-making basis for the surimi product processing process, helping enterprises to achieve refined management and sustainable development. However, the existing intelligent environmental detection system in the production and processing of surimi products still has some defects:

[0004] First, most existing systems use a fixed monitoring cycle and cannot be dynamically adjusted according to the freshness decay of materials or the volatility of environmental data. This results in that in some cases, the monitoring frequency may be too high, resulting in a waste of resources; in other cases, the monitoring frequency may be too low, and the impact of environmental changes on product quality cannot be discovered and responded to in a timely manner. Secondly, existing systems often simply record environmental data, but lack in-depth analysis and utilization of these data. This results in the system being unable to detect potential environmental problems in a timely manner, and unable to provide strong data support for production decisions. Summary of the invention

[0005] Technical issues solved

[0006] In view of the technical problems in the background technology, the present invention proposes an intelligent environmental detection system during the production and processing of surimi products, introduces a dynamic adjustment module for the monitoring period, dynamically adjusts the waiting monitoring period by calculating the waiting time and freshness decay, and dynamically adjusts the processing monitoring period by calculating the volatility index of the environmental data; by performing linear fitting and prediction on the environmental data, the changing trend of the environmental data can be discovered in time, and an abnormal signal can be sent when the predicted value exceeds the threshold range; thereby solving the technical problems recorded in the background technology.

[0007] (II) Technical solution

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0009] An intelligent environmental detection system for the production and processing of surimi products, comprising:

[0010] The data acquisition and storage module is used to obtain processing flow data and processing requirement data, and evaluate the initial freshness of materials; monitor environmental data at the storage point of each material and in the processing equipment, and set waiting monitoring cycles and processing monitoring cycles; RFID tag the surimi products, and establish production process monitoring data tables for various surimi products, as well as waiting queues for each processing equipment;

[0011] The monitoring cycle dynamic adjustment module is used to dynamically adjust the waiting monitoring cycle and the processing monitoring cycle respectively; for the waiting monitoring cycle, the monitoring cycle adjustment factor is calculated based on the waiting time and freshness of each material group, and the waiting monitoring cycle is dynamically adjusted based on the monitoring cycle adjustment factor; for the processing monitoring cycle, the comprehensive volatility index is calculated based on the monitoring values ​​of each environmental data, and the processing monitoring cycle is dynamically adjusted based on the comprehensive volatility index;

[0012] The environmental monitoring module is used to obtain environmental data monitoring values ​​of multiple waiting monitoring cycles or multiple processing monitoring cycles, and perform straight line fitting on each environmental data; calculate the predicted value of each environmental data according to the remaining waiting time or the remaining processing time, and determine whether to send an abnormal signal.

[0013] Specifically, the processing flow data includes the processing steps of different surimi products;

[0014] The processing requirement data includes the food material requirement sub-data and the processing requirement sub-data of each surimi product, wherein the food material requirement sub-data includes the raw material data of each type of surimi product and the storage requirement data of each raw material, and the storage requirement data of each raw material includes the environmental requirement data for the storage of each raw material;

[0015] The processing requirement sub-data includes the environmental requirement data in each processing step.

[0016] Further, all types of intermediates obtained after all processing steps of all surimi products are obtained, and the environmental requirement data of each intermediate is obtained;

[0017] Obtain the raw materials and intermediates of each type of surimi product, and determine the freshness of each type of raw materials and each type of intermediate based on the sensory evaluation method.

[0018] Specifically, the dynamic data of surimi products in the entire production process is recorded in the production process monitoring data table, including the freshness data obtained through analysis in each monitoring period, as well as the processing conditions of each raw material and intermediate, and the corresponding processing equipment is matched through RFID tags;

[0019] The waiting monitoring cycle represents the environmental monitoring cycle of each raw material and intermediate while they are waiting;

[0020] The processing monitoring cycle refers to the environmental monitoring cycle during the processing;

[0021] A waiting queue is set for each type of processing equipment, and a raw material group or an intermediate material group to be processed is placed in the waiting queue; the raw materials or intermediate materials are classified as materials, and the raw material groups or intermediate material groups are classified as material groups.

[0022] Furthermore, for the dynamic adjustment of the waiting monitoring period:

[0023] For all material groups in the processing equipment waiting queue, obtain the time when each waiting monitoring cycle ends ,in, Indicates the number of processing equipment in the waiting queue. material groups; get the quantity of materials in the corresponding material group ;

[0024] Get the time when the material group enters the current processing equipment from the production process monitoring data table , obtain the processing time of the corresponding processing step from the historical processing record table of the surimi product ;

[0025] Calculate the waiting time for each material group in the processing equipment waiting queue at the end of the current waiting monitoring cycle , the expression is:

[0026] in, Indicates the number of processing equipment in the waiting queue. The time when a material group enters the waiting queue, It indicates the sum of the processing time of the current processing step for all material groups that are arranged before this material group; Indicates the maximum capacity of the current processing equipment; Indicates the processing time of each material group under the current processing step; Indicates the quantity of the material Maximum capacity of current processing equipment The ratio is rounded upwards.

[0027] Furthermore, the decay rate of all materials in the surimi product was experimentally simulated to obtain the freshness decay index of each type of material. ;

[0028] Get the freshness decay index of all material groups in the processing equipment waiting queue , and initial freshness , based on the time at the end of each waiting monitoring cycle , calculate the freshness of each material group in the waiting queue of the processing equipment at the end of the current waiting monitoring cycle , the expression is: ;

[0029] Preset waiting time threshold And freshness threshold At the end of each waiting monitoring period, calculate the waiting monitoring period adjustment factor , the expression is: ;

[0030] in, , Respectively indicate waiting time and freshness The weight coefficient of ; Indicates when When the value in the brackets is 1, otherwise the value in the brackets is ; Similarly;

[0031] The length of the next waiting monitoring cycle is adjusted, and the adjusted waiting monitoring cycle length is .

[0032] Specifically, for the dynamic adjustment of the processing monitoring cycle:

[0033] Based on the values ​​of various environmental data at the end of several processing monitoring cycles, the mean and standard deviation of various environmental data are calculated, and the ratio of the standard deviation to the mean of various environmental data is recorded as the volatility index of various environmental data. ,in, Indicates Processing monitoring cycle, Indicates Class environment data;

[0034] The volatility index of all environmental data Combined, we get the comprehensive volatility index of the current processing monitoring cycle , the expression is: ; Adjust the length of the next processing monitoring cycle. The adjusted processing monitoring cycle length is .

[0035] Specifically, when a material group enters a waiting queue of a processing device, its environmental requirement data during storage is obtained; when a material group enters a processing device, its environmental requirement data during processing is obtained;

[0036] Each environmental data in the acquired environmental requirement data is stored in the data set. The data set is in the form of , Represents the total number of environmental data in the environmental requirement data, where: Including The name of each environmental data and the corresponding threshold range.

[0037] Further, at the end of each waiting monitoring cycle and each processing monitoring cycle, each environmental data monitoring value in the corresponding environmental requirement data is obtained and recorded in In a rectangular coordinate system, the horizontal axis is time and the vertical axis intercept is The monitoring value for each environmental data;

[0038] Use a straight line to fit the numerical points in the plane rectangular coordinate system in real time, and record the slope of the fitting line in real time to obtain the real-time slope set of the fitting line for each environmental data. , and then get the The fitting straight line equation of the environmental data is: , the expression is: .

[0039] Furthermore, for the material group in the waiting queue of the processing equipment, the remaining waiting time of the corresponding material group is obtained. ;

[0040] For the material group in the processing equipment, obtain the remaining processing time of the corresponding material group ,in, Indicates The time when each material group enters the corresponding processing equipment;

[0041] Substituting the remaining waiting time or the remaining processing time into the fitting straight line equation of each environmental data, obtaining the predicted value of each environmental data when the waiting is completed or the processing is completed, and if the predicted value of the environmental data exceeds the corresponding environmental data threshold range, the environmental data is marked in real time;

[0042] Real-time statistics of the duration of continuous marking of each environmental data. If the duration of continuous marking of a certain environmental data exceeds the remaining waiting time or the remaining processing time, times, sending abnormal signals corresponding to environmental data.

[0043] (III) Beneficial effects

[0044] The present invention provides an intelligent environment detection system during the production and processing of surimi products, which has the following beneficial effects:

[0045] 1. It can not only acquire and store processing flow data, processing requirement data and material freshness assessment information in real time, but also monitor the environment of materials waiting for processing and materials being processed in real time through two sets of environmental monitoring sensors, ensuring that the production environment meets the specific requirements of surimi products. It uses RFID technology to uniquely identify each type of material and processing equipment, achieving transparency and traceability of the production process. By setting up production process monitoring data tables and processing equipment waiting queues, as well as flexible monitoring cycle settings, it further improves the efficiency and flexibility of production management, providing strong support for quality control and production optimization of surimi products, thereby effectively ensuring product quality and safety.

[0046] 2. Taking into account the waiting time and freshness decay of the material group, the monitoring cycle is dynamically shortened or extended by calculating the monitoring cycle adjustment factor to ensure that the possible risk of material deterioration is discovered and dealt with in time during the waiting process; for the processing monitoring cycle, the module calculates the comprehensive volatility index by analyzing the volatility of the internal environmental data of the processing equipment, and adjusts the length of the monitoring cycle accordingly to adapt to the dynamic changes in environmental conditions during the processing process; this dynamic adjustment mechanism not only improves the accuracy and timeliness of environmental monitoring, but also effectively reduces the production risks caused by environmental changes, thereby ensuring the quality and safety of surimi products during the production and processing process, and further improving the intelligence level and management efficiency of the entire production process;

[0047] 3. At the end of each monitoring cycle, the environmental data monitoring values ​​are analyzed in real time using the straight line fitting technology to obtain the real-time slope set of the fitting straight line, so as to accurately predict the values ​​of each environmental data when waiting to be completed or processing is completed; by comparing the predicted value with the threshold range, abnormal environmental data is marked in real time, and the continuous marking time is counted. Once the set threshold is exceeded, an abnormal signal is sent; this design not only improves the accuracy and foresight of environmental monitoring, but also can promptly discover and deal with potential environmental problems, effectively ensuring the quality stability and safety of fish paste products during the production and processing process, and further improving the intelligence and reliability of the entire production process. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 This is a structural schematic diagram of an intelligent environmental detection system during the production and processing of surimi products provided by the present invention. DETAILED DESCRIPTION

[0049] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0050] refer to Figure 1 The present invention provides an intelligent environmental detection system for the production and processing of surimi products, comprising:

[0051] The data acquisition and storage module is used to obtain processing flow data and processing requirement data, and evaluate the initial freshness of materials; monitor environmental data at the storage point of each material and in the processing equipment, and set waiting monitoring cycles and processing monitoring cycles; RFID tag the surimi products, and establish production process monitoring data tables for various surimi products, as well as waiting queues for each processing equipment;

[0052] The data acquisition and storage module includes the following steps:

[0053] Step 101, when a new surimi product processing task is received, the processing flow data and processing requirement data of each surimi product to be processed are obtained; wherein the processing flow data includes processing steps of different surimi products, and the specific steps are raw material processing, meat rinsing, dehydration and fine filtration, pounding and seasoning, molding and heating, cooling and quick freezing, and packaging and storage, a total of seven steps; the processing requirement data includes the food requirement sub-data and processing requirement sub-data of each surimi product, wherein the food requirement sub-data includes the raw material data of various surimi products, and the storage requirement data of each raw material, wherein the raw material data includes the type of raw materials and the quantity of each raw material, etc., and the storage requirement data of each raw material includes the environmental requirement data for the storage of each raw material, such as the temperature and humidity of the storage point; the processing requirement sub-data includes the environmental requirement data in each processing step, such as the temperature and humidity in the processing equipment;

[0054] Before the raw material processing step, the raw material data of each type of surimi product is obtained, and the freshness of each type of raw material is determined by sensory evaluation. The sensory evaluation includes subjective evaluation of the appearance, smell, taste and other aspects of the product. The evaluator will score the raw materials according to the preset standards or guidelines. These scores can be used to indicate the freshness of the raw materials. At the beginning of the evaluation, the freshness score of the raw materials can be regarded as its initial freshness;

[0055] Step 102, designing a first environmental monitoring sensor group and a second environmental monitoring sensor group, wherein the first environmental monitoring sensor group is used to monitor the environmental data of the intermediate obtained after each step is completed while waiting to enter the next processing step; the second environmental monitoring sensor group is used to monitor the environmental data during the processing of each step;

[0056] Obtain all types of intermediates that can be obtained after all processing steps of all surimi products, and obtain environmental requirement data of each intermediate by analyzing or consulting materials, and obtain corresponding monitoring sensors based on all environmental requirement data, such as selecting a temperature sensor for monitoring temperature and a humidity sensor for monitoring humidity, and design the selected sensors into independent modules respectively, and integrate multiple sensor modules corresponding to the same intermediate into the same device based on the interface and protocol of each module, and record this sensor device as the first environmental monitoring sensor group; place the corresponding first environmental monitoring sensor groups at the storage points of various raw materials and various intermediates respectively;

[0057] Similarly, specific environmental requirement data of all surimi products in each processing step, i.e., processing requirement sub-data, are obtained. Based on the environmental requirement data of all surimi products in each processing step, corresponding monitoring sensors are obtained. The selected sensors are respectively designed into independent modules, and are integrated into the same device based on the interfaces and protocols of each module. This sensor device is recorded as a second environmental monitoring sensor group. The processing equipment involved in each processing step is obtained, and the same number of second environmental monitoring sensor groups corresponding to the processing step are placed in each processing equipment.

[0058] At the end of each processing step, the freshness of the various intermediates obtained is evaluated and determined based on sensory evaluation;

[0059] Step 103, monitoring and tracking the production and processing process of each surimi product, specifically, RFID tagging of various surimi products, including processing intermediates of various surimi products, and the processing equipment involved, specifically: obtaining raw material data of each type of surimi product, and performing the same RFID tagging on various raw materials of a specified quantity (i.e., the quantity data of each raw material in the raw material data); when these raw materials enter the raw material processing step, the equipment involved in this step is also RFID-tagged; after this step is completed, the intermediate obtained is also RFID-tagged, and the subsequent processing steps and the corresponding intermediates are marked in the same way to track the entire production process of each surimi product, thereby facilitating the activation of the specified sensor module in the second environmental monitoring sensor group, that is, monitoring of the corresponding environmental data;

[0060] Step 104: Establish a production process monitoring data table for various types of surimi products, as well as a waiting queue for each processing equipment; and set a waiting monitoring cycle And processing monitoring cycle , the waiting monitoring period represents the environmental monitoring period when each raw material and intermediate is waiting, that is, the monitoring period of the first environmental monitoring sensor group; the processing monitoring period represents the environmental monitoring period during the processing, that is, the monitoring period of the second environmental monitoring sensor group;

[0061] The production process monitoring data table records the dynamic data of surimi products throughout the production process, including the freshness data obtained through analysis of each monitoring cycle, and the processing status of each raw material and intermediate, that is, the status of waiting for processing or being processed; and the matching of corresponding processing equipment through RFID tags;

[0062] A waiting queue is set for each type of processing equipment, and raw material groups or intermediate groups to be processed are placed in the waiting queue. The same type of raw materials under the same surimi product constitute a raw material group, and the same type of intermediates under the same surimi product constitute an intermediate group; when the processing equipment is processing other raw materials or intermediates, and a new processing task appears, the raw materials or intermediates corresponding to the processing task are placed in the waiting queue of the processing equipment in the form of intermediates forming an intermediate group; raw materials or intermediates are collectively referred to as materials, and raw material groups or intermediate groups are collectively referred to as material groups.

[0063] Through comprehensive and sophisticated data collection and storage, intelligent environmental monitoring sensor group configuration, and efficient RFID tracking and data management mechanism, accurate monitoring and traceability of the entire process of surimi product production and processing is achieved;

[0064] It can not only acquire and store processing flow data, processing requirement data and material freshness assessment information in real time, but also use two sets of environmental monitoring sensors to monitor the environment of materials waiting to be processed and materials being processed in real time, ensuring that the production environment meets the specific requirements of surimi products. It uses RFID technology to uniquely identify each type of material and processing equipment, achieving transparency and traceability of the production process. By establishing a production process monitoring data table and a processing equipment waiting queue, as well as flexible monitoring cycle settings, it further improves the efficiency and flexibility of production management, providing strong support for quality control and production optimization of surimi products, thereby effectively ensuring product quality and safety.

[0065] The monitoring cycle dynamic adjustment module is used to dynamically adjust the waiting monitoring cycle and the processing monitoring cycle respectively; for the waiting monitoring cycle, the monitoring cycle adjustment factor is calculated based on the waiting time and freshness of each material group, and the waiting monitoring cycle is dynamically adjusted based on the monitoring cycle adjustment factor; for the processing monitoring cycle, the comprehensive volatility index is calculated based on the monitoring values ​​of each environmental data, and the processing monitoring cycle is dynamically adjusted based on the comprehensive volatility index;

[0066] The monitoring cycle dynamic adjustment module includes the following steps:

[0067] Waiting monitoring cycle And processing monitoring cycle Make dynamic adjustment judgment; among them, for waiting monitoring cycle ,include:

[0068] Step 2011: For a material group stored in a waiting queue of any processing equipment, the longer the waiting time is, the longer the time it is affected by environmental factors is. At this time, if the environmental data changes, the influence on material deterioration will be higher than the influence under normal circumstances. When the deterioration risk increases, in order to discover and respond to possible deterioration earlier, it is necessary to shorten the waiting monitoring period of the corresponding storage environment.

[0069] For all material groups in the processing equipment waiting queue, obtain the time when each waiting monitoring cycle ends ,in, Indicates the number of processing equipment in the waiting queue. material groups, the time here and the subsequent time are in the form of timestamps; get the number of materials in the corresponding material group ;

[0070] Based on the RFID tag of the material group being processed in the waiting queue, obtain the production process monitoring data table of the corresponding surimi product and the corresponding processing steps, and obtain the time when the material group enters the current processing equipment from the production process monitoring data table , obtain the processing time of the corresponding processing step from the historical processing record table of the surimi product ;

[0071] Based on the above data, calculate the waiting time of each material group in the waiting queue of the processing equipment at the end of the current waiting monitoring cycle , the expression is:

[0072] in, Indicates the number of processing equipment in the waiting queue. The time when a material group enters the waiting queue, It indicates the sum of the processing time of all material groups before this material group in the current processing step (i.e., processed in the current processing equipment); Indicates the maximum capacity of the current processing equipment; Indicates the processing time of each material group in the current processing step, which is also obtained from the historical processing record table of the corresponding surimi product; Indicates the quantity of the material Maximum capacity of current processing equipment The ratio of is rounded upwards. When , it means that the capacity of the processing equipment is not enough to process all the materials at the same time, and the remaining materials need to wait until the current processing equipment is completed before they can be processed;

[0073] Step 2012: While the prepared ingredients are waiting, their freshness will decay accordingly. Before the new surimi product is processed, an experimental simulation of the decay rate of all materials of the surimi product will be performed, and the experimental simulation environment is configured according to the storage environment in the standard storage method to obtain the freshness decay index of each type of material;

[0074] Get the freshness decay index of all material groups in the processing equipment waiting queue , and initial freshness , based on the time at the end of each waiting monitoring cycle , calculate the freshness of each material group in the waiting queue of the processing equipment at the end of the current waiting monitoring cycle , the expression is: ;

[0075] Step 2013: The production and processing management personnel preset the waiting time threshold based on actual requirements. And freshness threshold At the end of each waiting monitoring period, calculate the waiting monitoring period adjustment factor , the expression is:

[0076]

[0077] in, , Respectively indicate waiting time and freshness The specific data is determined by the production and processing management personnel. ; Indicates when When the value in the brackets is 1, otherwise the value in the brackets is ; Similarly, I won’t repeat it here;

[0078] The length of the next waiting monitoring cycle is adjusted. The adjusted waiting monitoring cycle length is ;

[0079] For the waiting monitoring cycle ,include:

[0080] Step 2021: During the operation of the processing equipment, periodically monitor the environmental data inside the processing equipment; based on the material currently processed in the processing equipment, obtain the environmental requirement data of the material under the current processing step, and start the specified sensor module in the second environmental monitoring sensor group inside the processing equipment;

[0081] At the end of each processing monitoring cycle, the corresponding environmental data of the current processing monitoring cycle is obtained, and the environmental data of the previous processing monitoring cycles are combined to obtain the volatility index of various environmental data. The previous processing monitoring cycles represent all processing monitoring cycles from the time when the processed material enters the current processing equipment;

[0082] Step 2022: Based on the values ​​of various environmental data at the end of several processing monitoring cycles, the average value and standard deviation of various environmental data are calculated, and the ratio of the standard deviation to the average value of various environmental data is recorded as the volatility index of various environmental data. ,in, Indicates Processing monitoring cycle, Indicates Class environment data;

[0083] The volatility index of all environmental data Combined, we get the comprehensive volatility index of the current processing monitoring cycle , the expression is: ; Adjust the length of the next processing monitoring cycle. The adjusted processing monitoring cycle length is .

[0084] The module comprehensively considers the waiting time and freshness decay of the material group, dynamically shortens or extends the monitoring period by calculating the monitoring period adjustment factor, so as to ensure that the possible risk of material deterioration is discovered and responded to in time during the waiting process; as for the processing monitoring period, the module calculates the comprehensive volatility index by analyzing the volatility of the internal environmental data of the processing equipment, and adjusts the length of the monitoring period accordingly to adapt to the dynamic changes in environmental conditions during the processing process; this dynamic adjustment mechanism not only improves the accuracy and timeliness of environmental monitoring, but also effectively reduces the production risks caused by environmental changes, thereby ensuring the quality and safety of surimi products during the production and processing process, and further improving the intelligence level and management efficiency of the entire production process.

[0085] The environmental monitoring module is used to obtain the environmental data monitoring values ​​of multiple waiting monitoring cycles or multiple processing monitoring cycles, and perform linear fitting on each environmental data; calculate the predicted value of each environmental data according to the remaining waiting time or the remaining processing time, and determine whether to send an abnormal signal;

[0086] The environmental monitoring module includes the following steps:

[0087] Step 301: When a material group enters a waiting queue of a processing device, obtain its environmental requirement data during storage; when a material group enters a processing device, obtain its environmental requirement data during processing; store each environmental data in the obtained environmental requirement data in a data set, and the data set is in the form of

[0088] , Represents the total number of environmental data in the environmental requirement data, where: Including The name of each environmental data and the corresponding threshold range;

[0089] Step 302: At the end of each waiting monitoring cycle and each processing monitoring cycle, obtain each environmental data monitoring value in the corresponding environmental requirement data and record the monitoring value in In a rectangular coordinate system, the horizontal axis is time and the vertical axis intercept is The monitoring value of each environmental data is obtained; a straight line is used to fit these numerical points in real time, and the slope of the fitted straight line is recorded in real time to obtain the real-time slope set of the fitted straight line for each environmental data. , and then get the The fitting straight line equation of the environmental data is: , the expression is: ;

[0090] Step 303: For the material group in the waiting queue of the processing equipment, obtain the remaining waiting time of the corresponding material group ; For the material group in the processing equipment, obtain the remaining processing time of the corresponding material group ,in, Indicates The time when each material group enters the corresponding processing equipment;

[0091] Substitute the remaining waiting time or the remaining processing time into the fitting straight line equation of each environmental data to obtain the predicted value of each environmental data when the waiting is completed or the processing is completed. If the predicted value of a certain environmental data exceeds the corresponding environmental data threshold range, the environmental data is marked in real time. If the subsequent calculation shows that the predicted value of the environmental data is within the environmental data threshold range when the waiting is completed or the processing is completed, the mark of the environmental data is deleted; the length of time that each environmental data is continuously marked is counted in real time. If it is monitored that the length of time that a certain environmental data is continuously marked exceeds the remaining waiting time or the remaining processing time, times, an abnormal signal corresponding to the environmental data is sent. The specific value is set by the production and processing management personnel.

[0092] At the end of each monitoring cycle, the environmental data monitoring values ​​are analyzed in real time using straight-line fitting technology to obtain the real-time slope set of the fitting straight line, so as to accurately predict the values ​​of each environmental data when waiting to be completed or processing is completed; by comparing the predicted value with the threshold range, abnormal environmental data is marked in real time, and the continuous marking time is counted. Once the set threshold is exceeded, an abnormal signal is sent; this design not only improves the accuracy and foresight of environmental monitoring, but also can promptly discover and deal with potential environmental problems, effectively ensuring the quality stability and safety of fish paste products during the production and processing process, and further improving the intelligence and reliability of the entire production process.

[0093] In the above embodiments, all or part of the embodiments may be implemented by software, hardware, firmware or any combination thereof. When implemented by software, all or part of the embodiments may be implemented in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of the present invention are generated. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer storage medium or transmitted via a computer storage medium.

[0094] Computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. Computer storage media can be any available media that can be accessed by a computer or a data storage device such as a server or data center that includes one or more available media. Available media can be magnetic media (e.g., floppy disks, hard disks, tapes), optical media (e.g., DVDs), or semiconductor media (e.g., solid state drives (SSDs)).

[0095] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. An intelligent environmental detection system for the production and processing of surimi products, characterized in that: include: Data collection and storage module, used to obtain processing flow data and processing requirement data, and to evaluate the initial freshness of materials; Monitor environmental data at each material storage point and processing equipment, and set a waiting monitoring cycle And processing monitoring cycle ; Carry out RFID tagging of surimi products, and establish production process monitoring data tables for various surimi products, as well as waiting queues for various processing equipment; The monitoring cycle dynamic adjustment module is used to dynamically adjust the waiting monitoring cycle and the processing monitoring cycle respectively; for the waiting monitoring cycle, the monitoring cycle adjustment factor is calculated based on the waiting time and freshness of each material group, and the waiting monitoring cycle is dynamically adjusted based on the monitoring cycle adjustment factor; for the processing monitoring cycle, the comprehensive volatility index is calculated based on the monitoring values ​​of each environmental data, and the processing monitoring cycle is dynamically adjusted based on the comprehensive volatility index; Preset waiting time threshold And freshness threshold At the end of each waiting monitoring period, calculate the waiting monitoring period adjustment factor , the expression is: ; in, , Respectively indicate waiting time and freshness The weight coefficient of ; Indicates when When the value in the brackets is 1, otherwise the value in the brackets is ; Similarly; The length of the next waiting monitoring cycle is adjusted, and the adjusted waiting monitoring cycle length is , that is, when the waiting time of the material group exceeds the waiting time threshold, or the freshness is lower than the over-freshness threshold, the waiting monitoring period length is shortened; otherwise, the waiting monitoring period is not adjusted; The environmental monitoring module is used to obtain environmental data monitoring values ​​of multiple waiting monitoring cycles or multiple processing monitoring cycles, and perform straight line fitting on each environmental data; calculate the predicted value of each environmental data according to the remaining waiting time or the remaining processing time, and determine whether to send an abnormal signal.

2. The intelligent environment detection system for the production and processing of surimi products according to claim 1, characterized in that: Processing data include the processing steps of different surimi products; The processing requirement data includes the food requirement sub-data of each surimi product and the processing requirement sub-data, wherein the food requirement sub-data includes the raw material data of each type of surimi product and the storage requirement data of each raw material, and the storage requirement data of each raw material includes the environmental requirement data for the storage of each raw material; The processing requirement sub-data includes the environmental requirement data in each processing step.

3. The intelligent environment detection system for the production and processing of surimi products according to claim 2, characterized in that: Obtain all types of intermediates obtained after all processing steps of all surimi products, and obtain environmental requirement data for each intermediate; Obtain the raw materials and intermediates of each type of surimi product, and determine the freshness of each type of raw materials and each type of intermediate based on the sensory evaluation method.

4. The intelligent environment detection system for the production and processing of surimi products according to claim 1, characterized in that: The dynamic data of surimi products in the entire production process is recorded in the production process monitoring data table, including the freshness data obtained through analysis in each monitoring cycle, as well as the processing conditions of each raw material and intermediate, and the corresponding processing equipment is matched through RFID tags; The waiting monitoring cycle represents the environmental monitoring cycle of each raw material and intermediate while they are waiting; The processing monitoring cycle refers to the environmental monitoring cycle during the processing; A waiting queue is set for each type of processing equipment, and a raw material group or an intermediate material group to be processed is placed in the waiting queue; the raw materials or intermediate materials are classified as materials, and the raw material groups or intermediate material groups are classified as material groups.

5. The intelligent environment detection system for the production and processing of surimi products as claimed in claim 4, characterized in that: For dynamic adjustment of waiting monitoring period: For all material groups in the processing equipment waiting queue, obtain the time when each waiting monitoring cycle ends ,in, Indicates the number of processing equipment in the waiting queue. material groups; get the quantity of materials in the corresponding material group ; Get the time when the material group enters the current processing equipment from the production process monitoring data table , obtain the processing time of the corresponding processing step from the historical processing record table of the surimi product ; Calculate the waiting time for each material group in the processing equipment waiting queue at the end of the current waiting monitoring cycle , the expression is: in, Indicates the number of processing equipment in the waiting queue. The time when a material group enters the waiting queue, It indicates the sum of the processing time of the current processing step for all material groups that are arranged before this material group; Indicates the maximum capacity of the current processing equipment; Indicates the processing time of each material group under the current processing step; Indicates the quantity of the material Maximum capacity of current processing equipment The ratio is rounded upwards.

6. The intelligent environment detection system for the production and processing of surimi products as claimed in claim 5, characterized in that: The decay rate of all materials in the surimi product was experimentally simulated to obtain the freshness decay index of each type of material. ; Get the freshness decay index of all material groups in the processing equipment waiting queue , and initial freshness , based on the time at the end of each waiting monitoring cycle , calculate the freshness of each material group in the waiting queue of the processing equipment at the end of the current waiting monitoring cycle , the expression is: .

7. The intelligent environment detection system for the production and processing of surimi products according to claim 4, characterized in that: Dynamic adjustment of processing monitoring cycle: Based on the values ​​of various environmental data at the end of several processing monitoring cycles, the mean and standard deviation of various environmental data are calculated, and the ratio of the standard deviation to the mean of various environmental data is recorded as the volatility index of various environmental data. ,in, Indicates Processing monitoring cycle, Indicates Class environment data; The volatility index of all environmental data Combined, we get the comprehensive volatility index of the current processing monitoring cycle , the expression is: ,in, Indicates the total number of environmental data; adjust the length of the next processing monitoring cycle, and the adjusted processing monitoring cycle length is .

8. The intelligent environment detection system for the production and processing of surimi products as claimed in claim 5, characterized in that: When a material group enters the waiting queue of the processing equipment, obtain the environmental requirement data during storage; when a material group enters the processing equipment, obtain the environmental requirement data during processing; Each environmental data in the acquired environmental requirement data is stored in the data set. The data set is in the form of , Represents the total number of environmental data in the environmental requirement data, where: Including The name of each environmental data and the corresponding threshold range.

9. The intelligent environment detection system for the production and processing of surimi products according to claim 8, characterized in that: At the end of each waiting monitoring cycle and each processing monitoring cycle, obtain each environmental data monitoring value in the corresponding environmental requirement data and record the monitoring value in In a rectangular coordinate system, the horizontal axis is time. , the ordinate intercept The monitoring value for each environmental data; Use a straight line to fit the numerical points in the plane rectangular coordinate system in real time, and record the slope of the fitting line in real time to obtain the real-time slope set of the fitting line for each environmental data. , and then get the The fitting straight line equation of the environmental data is: , the expression is: ,in, Indicates The slope of the fitted line of the environmental data.

10. The intelligent environment detection system for the production and processing of surimi products according to claim 9, characterized in that: For the material group in the processing equipment waiting queue, obtain the remaining waiting time of the corresponding material group ; For the material group in the processing equipment, obtain the remaining processing time of the corresponding material group ,in, Indicates The time when each material group enters the corresponding processing equipment; Substituting the remaining waiting time or the remaining processing time into the fitting straight line equation of each environmental data, obtaining the predicted value of each environmental data when the waiting is completed or the processing is completed, and if the predicted value of the environmental data exceeds the corresponding environmental data threshold range, the environmental data is marked in real time; Real-time statistics of the duration of continuous marking of each environmental data. If the duration of continuous marking of a certain environmental data exceeds the remaining waiting time or the remaining processing time, times, sending abnormal signals corresponding to environmental data.

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