Processing management method and system for ham sausages

Abstract

The invention relates to the technical field of food processing, and discloses a processing management method and system for ham sausages, the system comprises a data acquisition unit, a data processing unit, a data analysis unit and a signal display unit, the operation state of a production line can be accurately judged, the possibility of misjudgment and missed judgment is reduced, and the production efficiency is improved. According to the normal operation index of the production line, whether the production line operates abnormally or not is accurately judged, and a warning signal is quickly generated, so that related personnel can know the abnormal condition in the first time and take measures in time, problem expansion is avoided, production loss and quality problems are reduced, and the production efficiency is improved. According to the technical scheme, stability analysis is conducted on key parameters such as temperature and pressure in the raw material processing process, raw material processing conditions can be controlled, the stability and consistency of raw material quality are guaranteed, the quality of final products is improved, the parameters in the production process can be effectively controlled and adjusted in time, and the production efficiency and the product quality are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of food processing, and in particular to a processing management method and system for ham sausage. Background Art

[0002] As consumers' requirements for food quality and safety continue to increase, the ham production industry faces increasingly severe challenges. In the processing of ham, the stable operation of the production line is crucial to product quality and production efficiency. However, the current ham processing management has many problems in equipment operation monitoring.

[0003] Traditional equipment operation data collection methods are often not real-time and comprehensive enough, and cannot cover the operating parameters of various key attributes such as speed, current, voltage, temperature and humidity in the equipment operating environment during production line operation, resulting in a lack of accuracy and completeness in the assessment of production line status. In terms of data processing, there is a lack of effective standardized processing methods, and it is difficult to convert complex and diverse operating parameters into indicators with comparability and analytical value, making the analysis of equipment operating status difficult and inaccurate. For the analysis of equipment operating status, existing methods are usually simple and rough, and cannot comprehensively consider the attributes of multiple operating parameters. It is difficult to accurately derive the normal operation index of the production line, and it is impossible to timely and effectively determine whether the production line is operating abnormally, which affects the timely discovery and resolution of production problems.

[0004] To sum up, in order to improve the production quality and efficiency of ham sausage and ensure the stability and safety of the product, there is an urgent need for a more comprehensive, accurate and efficient ham sausage processing management method and system. Summary of the invention

[0005] The purpose of the present invention is to provide a processing management method and system for ham sausage, which solves the technical problems raised in the background technology.

[0006] The purpose of the present invention can be achieved through the following technical solutions: A processing management method and system for ham sausage, comprising: The data collection unit is used to collect the equipment operation data on the production line in real time. The equipment operation data includes a variety of operation parameters with different attributes; The data processing unit is used to perform standardization processing on the equipment operation data, calculate the standardized operation parameters of each attribute at multiple time nodes within a specified period, and record them as analysis parameters; A data analysis unit is used to analyze the operation status according to the standardized equipment operation data, thereby obtaining the normal operation index of the production line, and then judging whether the production line is operating abnormally according to the normal operation index of the production line, and generating a warning signal according to the judgment result of the abnormal operation; The signal display unit is used to display the adjustment signal to relevant personnel.

[0007] As a further solution of the present invention: wherein, the multiple operating parameters with different attributes include but are not limited to the rotation speed, current, voltage when the production line is running, and the temperature and humidity in the equipment operating environment.

[0008] As a further solution of the present invention: the standardized processing method is as follows: StepA1. Select an operating parameter of an attribute; In a specified period, the operating parameters corresponding to multiple time nodes are obtained and marked as Yi, i=1, 2, ... n, n represents the number of all time nodes in the specified period, and i represents the number; StepA2, through , calculate the average value of the corresponding operating parameters of this attribute within the specified period; Step A3, through , calculate the standard deviation of the corresponding operating parameters of this attribute within the specified period; StepA4, through , calculate the standardized operating parameter Ti of the attribute at multiple time nodes within the specified period, and record it as the analysis parameter; StepA5: By analogy with StepA1 to StepA4, the standardized operating parameters of each attribute at multiple time nodes within the specified time period, that is, multiple analysis parameters, are calculated.

[0009] As a further solution of the present invention: the operating status analysis method is as follows: Step B1. Obtain the analysis parameters of all attributes at multiple time nodes within the specified period and mark them as T i，j , i=1, 2, ... n, n represents the number of all time nodes in the specified period, j=1, 2, ... m, m represents the number of all attributes corresponding to the analysis parameters; StepB2, let the value of j be 1, 2, ..., m; pass , calculate the average value Z of the analysis parameters corresponding to each attribute j , and record it as the analysis judgment value Z j ; StepB3, let the value of j be 1, 2, ..., m; pass , calculate the difference between the adjacent analysis parameters corresponding to each attribute and record it as the analysis judgment value G j ; Step B3: The analysis and judgment value Z corresponding to each attribute jCompare with the preset judgment threshold interval respectively, and then add corresponding assignment to each attribute according to the comparison result; Among them, the specific value assigned is [0,1]; Step B4. Mark the values ​​of each attribute as F j ; Then through , calculate the normal operation index Q of the production line; In the formula, β j Indicates the preset weight value for the attribute; Step B5, compare the normal operation index Q of the production line with the preset index threshold Qy: If Q>Qy, it means that the production line is operating abnormally and a warning signal is generated; If Q≤Qy, it means that the production line operates normally and no warning signal is generated.

[0010] As a further embodiment of the present invention: wherein all β j The sum is 1.

[0011] As a further solution of the present invention: In Step B3, if Z j If it is within the corresponding judgment threshold range, it means that the attribute corresponding to the analysis parameter is normal, and the attribute is assigned a value of 1; If Z j If it is not within the corresponding judgment threshold range, it means that the attribute corresponding to the analysis parameter is abnormal, and the attribute is assigned a value of 0.

[0012] As a further solution of the present invention: the data acquisition unit is also used to monitor key parameters in the raw material processing process in real time through sensors installed on the production line; The data analysis unit is also used to perform stability analysis on key parameters in the raw material processing process and obtain stability indicators corresponding to the corresponding key parameters; then, according to the stability indicators corresponding to the corresponding key parameters, determine whether the temperature in the raw material processing process is stable, and generate an adjustment signal according to the determination result of temperature instability; The signal display unit is also used to display the adjustment signal to relevant personnel, so that the relevant personnel can control and adjust the key parameters in the raw material processing process.

[0013] As a further solution of the present invention: key parameters include but are not limited to temperature and pressure, and the stability analysis method of the key parameters of temperature and pressure is the same.

[0014] As a further solution of the present invention: the key parameters corresponding to the selected temperature are analyzed in the following manner: Step C1, within the specified time period, set e collection nodes within the specified time period, obtain the key operating parameters corresponding to multiple time nodes at the same time, and mark them as Ur, r = 1, 2, ... e, r represents the number; Step C2, through , calculate the difference UC between the key operating parameters corresponding to each adjacent acquisition node t , where t=1, 2, ...e-1; Step C3, from all UC t Extract the maximum and minimum values ​​of the differences between the key operating parameters corresponding to adjacent acquisition nodes, and mark them as UCmax and UCmin respectively; Step C4, calculate all UCs within the specified period t The average value of , and mark it as UCp; StepA5. Pass , calculate the temperature stability index UW; Step A6, compare the temperature stability index UW with the preset temperature stability threshold UWy: If UW>UWy, it means that the temperature fluctuation during the raw material processing is large, and a temperature-related adjustment signal is generated; If UW≤UWy, it means that the temperature during the raw material processing is stable and no adjustment signal is generated.

[0015] A processing management method for ham sausage, the method is realized by the processing management system for ham sausage.

[0016] Beneficial effects of the present invention: The present invention collects in real time the operating parameters of the production line with different attributes, including rotation speed, current, voltage, equipment operating environment temperature and humidity, as well as key parameters in the raw material processing process, thereby realizing all-round monitoring of the ham sausage processing process without missing any details that may affect production.

[0017] The present invention performs standardized processing on the collected equipment operation data, and obtains standardized operation parameters of various attributes at multiple time nodes within a specified period through complex but accurate calculations, thereby providing an accurate and comparable data basis for subsequent analysis.

[0018] The present invention adopts a scientific algorithm to calculate the normal operation index of the production line, which can accurately judge the operating status of the production line and reduce the possibility of misjudgment and missed judgment.

[0019] The present invention can accurately judge whether the production line is operating abnormally based on the normal operation index of the production line and quickly generate a warning signal, so that relevant personnel can be informed of abnormal conditions at the first time and take timely measures to avoid the expansion of the problem and reduce production losses and quality problems.

[0020] The present invention performs stability analysis on key parameters such as temperature and pressure in the raw material processing process, which helps to control the raw material processing conditions, ensure the stability and consistency of the raw material quality, and thus improve the quality of the final product.

[0021] The present invention clearly displays the adjustment signal to relevant personnel, making it convenient for them to carry out timely and effective control and adjustment of parameters in the production process according to the signal, thereby optimizing the production process and improving production efficiency and product quality.

[0022] The present invention provides a comprehensive and scientific processing management method and system, which provides reliable data support and decision-making basis for the production management of enterprises, and helps enterprises to formulate more reasonable production plans and management strategies.

[0023] The present invention can significantly improve the stability and reliability of ham sausage production and enhance the market competitiveness of enterprises through real-time monitoring and analysis of the operating status of the production line and strict control of the raw material processing process. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The present invention will be further described below in conjunction with the accompanying drawings.

[0025] Figure 1 The present invention is a system block diagram of a processing management system for ham sausage.

[0026] Figure 2 It is a schematic flow chart of a processing management method for ham sausage of the present invention. DETAILED DESCRIPTION

[0027] 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.

[0028] Embodiment 1 See also Figure 1 As shown, the present invention is a processing management method and system for ham sausage, comprising: A data acquisition unit is used to collect the equipment operation data on the production line in real time. The equipment operation data includes a plurality of operation parameters with different attributes. In this embodiment, the plurality of operation parameters with different attributes are the rotation speed, current, voltage, temperature and humidity of the equipment operation environment when the production line is running; A data processing unit, used for standardizing the equipment operation data; The standardization process is as follows: StepA1. Take the operating parameters of a property as an example; in a specified period, obtain the operating parameters corresponding to multiple time nodes and mark them as Yi, i=1, 2, ...n, n represents the number of all time nodes in the specified period, and i represents the number; StepA2, through , calculate the average value of the corresponding operating parameters of this attribute within the specified period; Step A3, through , calculate the standard deviation of the corresponding operating parameters of this attribute within the specified period; StepA4, through , calculate the standardized operating parameters of the attribute at multiple time nodes within the specified period, and record them as analysis parameters Ti; StepA5: Calculate the standardized operating parameters of each attribute at multiple time nodes within the specified period by analogy with StepA1 to StepA4; A data analysis unit, used to analyze the operation status of the equipment based on the standardized equipment operation data; The specific method is as follows: Step B1. Obtain the analysis parameters of all attributes at multiple time nodes within the specified period and mark them as T i，j , i=1, 2, ... n, n represents the number of all time nodes in the specified period, j=1, 2, ... m, m represents the number of all attributes corresponding to the analysis parameters; StepB2, let the value of j be 1, 2, ..., m; pass , calculate the average value Z of the analysis parameters corresponding to each attribute j , and record it as the analysis judgment value Z j ; StepB3, let the value of j be 1, 2, ..., m; pass , calculate the difference between the adjacent analysis parameters corresponding to each attribute and record it as the analysis judgment value G j ; Step B3: The analysis and judgment value Z corresponding to each attribute jCompare with the preset judgment threshold interval respectively: If Z j If it is within the corresponding judgment threshold range, it means that the attribute corresponding to the analysis parameter is normal, and the attribute is assigned a value of 1; If Z j If it is not within the corresponding judgment threshold range, it means that the attribute corresponding to the analysis parameter is abnormal, and the attribute is assigned a value of 0; Step B4. Mark the values ​​of each attribute as F j ; Then through , calculate the normal operation index Q of the production line; In the formula, β j Indicates the preset weight value for the attribute, where all β j The sum is 1; Step B5, compare the normal operation index Q of the production line with the preset index threshold Qy: If Q>Qy, it means that the production line is operating abnormally and a warning signal is generated; If Q≤Qy, it means that the production line is operating normally and no warning signal is generated; The signal display unit is used to display warning signals to relevant personnel so that they can operate and maintain the production line equipment.

[0029] This embodiment can collect various operating parameters of the equipment on the production line in real time, including rotation speed, current, voltage, temperature and humidity, etc., to fully understand the operating status of the equipment; standardize the equipment operation data to make the operating parameters of different attributes comparable, which is convenient for subsequent analysis and processing; accurately analyze the equipment operation status through detailed data analysis methods, and timely discover abnormal conditions in the operation of the equipment; calculate the normal operation index of the production line and compare it with the preset threshold to accurately determine whether the production line is operating normally. If it is abnormal, a warning signal is generated, which helps relevant personnel to perform operation and maintenance in a timely manner and ensure the stable operation of the production line.

[0030] Embodiment 2 As the second embodiment of the present invention, when the present application is implemented, compared with the first embodiment, the technical solution of the present embodiment is different from that of the first embodiment only in that: In this embodiment, The data acquisition unit is also used to monitor key parameters in the raw material processing process in real time through sensors installed on the production line. The key parameters include but are not limited to temperature and pressure; The data analysis unit is also used to perform stability analysis of key parameters during raw material processing; The specific method is as follows: Step C1, take a key parameter corresponding to a temperature as an example; In the specified time period, set e collection nodes in the specified time period. Get the key operating parameters corresponding to multiple time nodes, And mark it as Ur, r = 1, 2, ... e, r represents the number; Step C2, through , calculate the difference UC between the key operating parameters corresponding to each adjacent acquisition node t , where t=1, 2, ...e-1; Step C3, from all UC t Extract the maximum and minimum values ​​of the differences between the key operating parameters corresponding to adjacent acquisition nodes, and mark them as UCmax and UCmin respectively; Step C4, calculate all UCs within the specified period t The average value of , and mark it as UCp; StepA5. Pass , calculate the temperature stability index UW; Step A6, compare the temperature stability index UW with the preset temperature stability threshold UWy: If UW>UWy, it means that the temperature fluctuation during the raw material processing is large, and a temperature-related adjustment signal is generated; If UW≤UWy, it means that the temperature of the raw material during processing is stable and no adjustment signal is generated; In this embodiment, the method of stability analysis of key parameters corresponding to pressure is the same as the method of Step C1 to Step C6, and an adjustment signal related to pressure is generated; The signal display unit is also used to display the adjustment signal to relevant personnel so that the relevant personnel can control and adjust the temperature during the raw material processing.

[0031] In addition to the advantages of embodiment one, this embodiment can also monitor key parameters in the raw material processing process, such as temperature, pressure, etc., in real time through sensors installed on the production line, thereby expanding the monitoring range; stability analysis of key parameters in the raw material processing process can timely discover fluctuations in parameters such as temperature and pressure in the raw material processing process; when the fluctuation range of key parameters such as temperature or pressure is too large, an adjustment signal is generated, which helps relevant personnel to control and adjust the raw material processing process in a timely manner to ensure the stability of product quality.

[0032] Embodiment 3 As the third embodiment of the present invention, when the present application is specifically implemented, compared with the first and second embodiments, the technical solution of this embodiment is to combine the solutions of the first and second embodiments mentioned above for implementation.

[0033] See also Figure 2 As shown, the present invention also provides a processing management method for ham sausage, which is implemented by the processing management system for ham sausage, and the method includes the following steps: Step 1: Data Collection The data acquisition unit collects the equipment operation data on the production line in real time, such as the speed, current, voltage, temperature and humidity of the equipment operating environment, and other operating parameters with different attributes, and monitors the key parameters of the raw material processing process, such as temperature and pressure, in real time; Step 2: Data processing Use the data processing unit to standardize the equipment operation data: Select an operating parameter of an attribute, and obtain the operating parameters corresponding to multiple time nodes within a specified period; Calculate the average value of the corresponding operating parameters of this attribute within the specified period; Calculate the standard deviation of the corresponding operating parameters of this attribute within the specified period; Calculate the standardized operating parameters of the attribute at multiple time nodes within the specified period and record them as analysis parameters; By analogy, the standardized operating parameters of each attribute at multiple time nodes within a specified period, i.e., multiple analysis parameters, are calculated; Step 3: Operation status analysis The operation status is analyzed based on the standardized equipment operation data, and the normal operation index of the production line is obtained. Then, based on the normal operation index of the production line, it is determined whether the production line is operating abnormally, and a warning signal is generated according to the determination result of the abnormal operation; Step 4: Stability Analysis Conduct stability analysis on key parameters in the raw material processing process and obtain stability indicators corresponding to the corresponding key parameters; then determine whether the temperature in the raw material processing process is stable based on the stability indicators corresponding to the corresponding key parameters, and generate adjustment signals based on the determination result of temperature instability; Step 5: Signal display Display warning signals and adjustment signals to relevant personnel so that they can control the key parameters of the production line operation status and raw material processing; The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and thresholds in the formula are set by technicians in this field according to actual conditions.

[0034] 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 in the present application, 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. A processing management system for ham sausage, characterized in that: include: The data collection unit is used to collect the equipment operation data on the production line in real time. The equipment operation data includes a variety of operation parameters with different attributes; The data processing unit is used to perform standardization processing on the equipment operation data, calculate the standardized operation parameters of each attribute at multiple time nodes within a specified period, and record them as analysis parameters; A data analysis unit is used to analyze the operation status according to the standardized equipment operation data, thereby obtaining the normal operation index of the production line, and then judging whether the production line is operating abnormally according to the normal operation index of the production line, and generating a warning signal according to the judgment result of the abnormal operation; The signal display unit is used to display the adjustment signal to relevant personnel.

2. A processing management system for ham sausage according to claim 1, characterized in that: in, The various operating parameters with different attributes include, but are not limited to, the rotation speed, current, voltage, temperature and humidity of the equipment operating environment when the production line is running.

3. A processing management system for ham sausage according to claim 2, characterized in that: The standardization process is as follows: StepA1. Select an operating parameter of an attribute; In a specified period, the operating parameters corresponding to multiple time nodes are obtained and marked as Yi, i=1, 2, ... n, n represents the number of all time nodes in the specified period, and i represents the number; StepA2, through , calculate the average value of the corresponding operating parameters of this attribute within the specified period; Step A3, through , calculate the standard deviation of the corresponding operating parameters of this attribute within the specified period; StepA4, through , calculate the standardized operating parameter Ti of the attribute at multiple time nodes within the specified period, and record it as the analysis parameter; StepA5: By analogy with StepA1 to StepA4, the standardized operating parameters of each attribute at multiple time nodes within the specified time period, that is, multiple analysis parameters, are calculated.

4. A processing management system for ham sausage according to claim 3, characterized in that: The running status analysis method is as follows: Step B1. Obtain the analysis parameters of all attributes at multiple time nodes within the specified period and mark them as T i，j , i=1, 2, ... n, n represents the number of all time nodes in the specified period, j=1, 2, ... m, m represents the number of all attributes corresponding to the analysis parameters; StepB2, let the value of j be 1, 2, ..., m; pass , calculate the average value Z of the analysis parameters corresponding to each attribute j , and record it as the analysis judgment value Z j ; StepB3, let the value of j be 1, 2, ..., m; pass , calculate the difference between the adjacent analysis parameters corresponding to each attribute and record it as the analysis judgment value G j ; Step B3: The analysis and judgment value Z corresponding to each attribute j Compare with the preset judgment threshold interval respectively, and then add corresponding assignments to each attribute according to the comparison results; the specific value of the assignment is [0,1]; Step B4. Mark the values ​​of each attribute as F j ; Then through , calculate the normal operation index Q of the production line; In the formula, β j Indicates the preset weight value for the attribute; Step B5, compare the normal operation index Q of the production line with the preset index threshold Qy: If Q>Qy, it means that the production line is operating abnormally and a warning signal is generated; If Q≤Qy, it means that the production line operates normally and no warning signal is generated.

5. A processing management system for ham sausage according to claim 4, characterized in that: in, All beta j The sum is 1.

6. A processing management system for ham sausage according to claim 4, characterized in that: In StepB3, if Z j If it is within the corresponding judgment threshold range, it means that the attribute corresponding to the analysis parameter is normal, and the attribute is assigned a value of 1; If Z j If it is not within the corresponding judgment threshold range, it means that the attribute corresponding to the analysis parameter is abnormal, and the attribute is assigned a value of 0.

7. A processing management system for ham sausage according to claim 1, characterized in that: The data acquisition unit is also used to monitor key parameters in the raw material processing process in real time through sensors installed on the production line; The data analysis unit is also used to perform stability analysis on key parameters in the raw material processing process and obtain stability indicators corresponding to the corresponding key parameters; then, according to the stability indicators corresponding to the corresponding key parameters, determine whether the temperature in the raw material processing process is stable, and generate an adjustment signal according to the determination result of temperature instability; The signal display unit is also used to display the adjustment signal to relevant personnel, so that the relevant personnel can control and adjust the key parameters in the raw material processing process.

8. A processing management system for ham sausage according to claim 7, characterized in that: Key parameters include but are not limited to temperature and pressure, and the stability analysis method for key parameters of temperature and pressure is the same.

9. A processing management system for ham sausage according to claim 8, characterized in that: The key parameters corresponding to the selected temperature are analyzed as follows: Step C1, within the specified time period, set e collection nodes within the specified time period, obtain the key operating parameters corresponding to multiple time nodes at the same time, and mark them as Ur, r = 1, 2, ... e, r represents the number; Step C2, through , calculate the difference UC between the key operating parameters corresponding to each adjacent acquisition node t , where t=1, 2, ...e-1; Step C3, from all UC t Extract the maximum and minimum values ​​of the differences between the key operating parameters corresponding to adjacent acquisition nodes, and mark them as UCmax and UCmin respectively; Step C4, calculate all UCs within the specified period t The average value of , and mark it as UCp; StepA5. Pass , calculate the temperature stability index UW; Step A6, compare the temperature stability index UW with the preset temperature stability threshold UWy: If UW>UWy, it means that the temperature fluctuation during the raw material processing is large, and a temperature-related adjustment signal is generated; If UW≤UWy, it means that the temperature during the raw material processing is stable and no adjustment signal is generated.

10. A processing management method for ham sausage, characterized in that: The method is implemented by a processing management system for ham sausage as described in any one of claims 1-9.

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