Food production workshop safety risk early warning method and system

Abstract

The invention relates to the technical field of data processing, in particular to a food production workshop safety risk early warning method and system.The method comprises the steps that a plurality of sensors are used for collecting production data in a biscuit production workshop and transmitting the production data to a display screen, and a risk assessment model is trained according to the production data; analyzing the safety risk of the biscuit production workshop by using the trained risk assessment model to output an analysis result, setting a risk early warning trigger threshold according to a historical analysis result, and giving an alarm when the production data reaches the risk early warning trigger threshold; determining the early warning stability of the safety risk based on the variance of the transmission delay duration of the production data; if the early warning stability does not meet the requirement, determining the size of a data packet of production data; and if the accuracy of the production data does not meet the requirement, determining the acquisition frequency of the production data. According to the invention, the early warning stability of the safety risk is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a food production workshop safety risk early warning method and system. Background Art

[0002] In the prior art, with the rapid development of food processing technology, the types of biscuits are becoming more and more diversified, gradually developing into nutritious food suitable for all ages, meeting the needs of different consumers. This brings challenges to biscuit factories. While ensuring quality, they also need to improve production efficiency to meet supply needs, so that the entire process from receiving orders to processing to sales needs to be carried out in an orderly manner. However, there are many safety risk factors in the biscuit production process, so a safety risk early warning system is needed to monitor and analyze the biscuit production process to ensure the safety of the biscuit production workshop.

[0003] Chinese Patent Publication No.: CN118446450A discloses a workshop production safety control method, system and risk assessment method, system, the method includes the following steps: S01, obtain safety issues and the control area corresponding to the safety issues; obtain safety issue data determined according to the safety issues and the control area corresponding to the safety issues; the safety issue data includes the regional control level of the control area corresponding to the safety issue, the safety issue category, the control level of the safety issue, and the control coefficient of the safety issue; the control level of the safety issue and the control coefficient of the safety issue are determined according to the safety issue category; S02, automatically initiate a safety issue processing process according to the safety issue process configuration, the safety issue processing process includes one or more processing links; S03, track the safety issue processing process, including: monitoring the processing time of the processing link; S04, problem timeout warning, including: when the processing time of the processing link of the safety issue exceeds the set time, a graded warning is issued according to the processing time of the processing link of the safety issue and the control level of the safety issue. It can be seen from this that the workshop production safety management method, system and risk assessment method and system have the problem that due to the presence of large-scale mixing equipment in the biscuit production workshop, the motor of the mixing equipment generates electromagnetic interference to the communication signal of the sensor during operation, thereby causing the stability of the safety risk warning to decrease. Summary of the invention

[0004] To this end, the present invention provides a food production workshop safety risk early warning method and system, which is used to overcome the problem in the prior art that due to the presence of large-scale stirring equipment in the biscuit production workshop, the motor of the stirring equipment generates electromagnetic interference to the communication signal of the sensor during operation, thereby causing the stability of the safety risk early warning to decrease.

[0005] To achieve the above-mentioned purpose, the present invention provides a method for early warning of safety risks in a food production workshop, comprising: using a plurality of sensors to collect production data in a biscuit production workshop and transmitting the data to a display screen, and training a risk assessment model based on the production data; using the trained risk assessment model to analyze the safety risks of the biscuit production workshop to output analysis results, setting a trigger threshold for risk warning based on historical analysis results, and issuing an alarm when the production data reaches the trigger threshold for risk warning; obtaining the transmission delay time of the production data within a plurality of transmission cycles; determining the early warning stability of the safety risk based on the variance of the transmission delay time of the production data; if the early warning stability does not meet the requirements, determining the data packet size of the production data or determining the accuracy of the production data based on the average data volume of the collected production data; if the accuracy of the production data does not meet the requirements, determining the collection frequency of the production data or determining the trigger threshold for the risk warning based on the temperature rise rate in the production workshop.

[0006] Further, determining the early warning stability of the security risk includes:

[0007] Comparing the variance of the transmission delay time of the production data with a preset first variance;

[0008] If the variance of the transmission delay time length of the production data is greater than the preset first variance, it is determined that the early warning stability of the security risk does not meet the requirements.

[0009] Further, determining the accuracy of the production data includes:

[0010] Comparing the variance of the transmission delay time length of the production data with the preset first variance and the preset second variance respectively;

[0011] If the variance of the transmission delay time of the production data is greater than the preset first variance and less than or equal to the preset second variance, it is preliminarily determined that the accuracy of the production data does not meet the requirements, and whether the accuracy of the production data meets the requirements is further determined based on the average data volume of the collected production data.

[0012] Further, determining the data packet size of the production data includes:

[0013] Comparing the variance of the transmission delay time length of the production data with the preset second variance;

[0014] If the variance of the transmission delay time length of the production data is greater than the preset second variance, the data packet size of the production data is reduced.

[0015] Furthermore, the reduction range of the data packet size of the production data is determined by the difference between the variance of the transmission delay time length of the production data and a preset second variance.

[0016] Further, determining the collection frequency of the production data includes:

[0017] Comparing the average data volume of the collected production data with the preset first data volume and the preset second data volume respectively;

[0018] If the average data volume of the collected production data is greater than the preset first data volume, it is further determined that the accuracy of the production data does not meet the requirements;

[0019] If the average data volume of the collected production data is greater than the preset first data volume and less than or equal to the preset second data volume, reducing the collection frequency of the production data;

[0020] If the average data volume of the collected production data is greater than the preset second data volume, it is preliminarily determined that the environmental stability of the production workshop does not meet the requirements, and whether the environmental stability of the production workshop meets the requirements is further determined based on the temperature rise rate in the production workshop.

[0021] Furthermore, the reduction range of the frequency of collecting the production data is determined by the difference between an average data volume of the collected production data and a preset first data volume.

[0022] Further, determining the triggering threshold of the risk warning includes:

[0023] Compare the temperature increase rate in the production workshop with the preset temperature increase rate;

[0024] If the temperature increase rate in the production workshop is greater than the preset increase rate, it is further determined that the environmental stability of the production workshop does not meet the requirements, and the triggering threshold of the risk warning is reduced.

[0025] Furthermore, the reduction range of the triggering threshold of the risk warning is determined by the difference between the temperature increase rate in the production workshop and the preset temperature increase rate.

[0026] The present invention also provides a food production workshop safety risk early warning system, comprising:

[0027] A data acquisition module, comprising a data acquisition unit for acquiring production data in a biscuit production workshop through a plurality of sensors and a data transmission unit connected to the data acquisition unit for transmitting the production data to a display screen;

[0028] a risk analysis module connected to the data acquisition module and used to analyze the production data to output analysis results, including a model training unit used to train a risk assessment model according to the production data and a risk analysis unit connected to the model training unit and used to analyze the safety risks of the biscuit production workshop to output the analysis results;

[0029] An alarm module, which is connected to the risk analysis module and is used to determine a trigger threshold of risk warning according to historical analysis results and issue an alarm when the trigger threshold is reached;

[0030] A storage module, which is respectively connected to the data acquisition module, the risk analysis module and the alarm module, and is used to store the production data, the risk assessment model, the analysis results and the triggering threshold of the risk warning;

[0031] A control module, which is respectively connected to the data acquisition module, the risk analysis module, the alarm module and the storage module, and is used to determine the data packet size of the production data according to the variance of the transmission delay time of the production data or determine the collection frequency of the production data according to the average data volume of the collected production data, and determine the triggering threshold of the risk warning according to the average data volume of the collected production data and the temperature rise rate in the production workshop.

[0032] Compared with the prior art, the invention has the beneficial effect that the method of the invention determines the data packet size of the production data according to the variance of the transmission delay time of the production data. Since there is a large-scale stirring device in the biscuit production workshop, the motor of the stirring device generates electromagnetic interference to the communication signal of the sensor during operation, thereby causing data transmission delay. By reducing the data packet size of the production data, the error and retransmission of the data packet are reduced, and the probability of transmission delay is reduced. The acquisition frequency of the production data is determined according to the average data volume of the collected production data. Since the grounding wire of the production equipment is worn, the grounding is unstable, which in turn causes the power supply to be unstable, resulting in inaccurate sensor detection. By reducing the acquisition frequency of the production data, the fluctuation and noise of the data are reduced, making it easier for the system to handle abnormal situations. The trigger threshold of the risk warning is determined according to the temperature increase rate in the production workshop. Since the heating element in the baking equipment used for baking biscuits is aged, the temperature regulation of the baking equipment is unstable, resulting in excessive heat dissipation, thereby causing the temperature in the production workshop to rise too fast. By reducing the trigger threshold of the risk warning, the system can detect temperature abnormalities more sensitively, improve the safe operation and production quality of the production workshop, and improve the warning stability of safety risks.

[0033] Furthermore, the method of the present invention determines the data packet size of the production data by setting a preset first variance and a preset second variance. Since there is a large-scale mixing equipment in the biscuit production workshop, the motor of the mixing equipment generates electromagnetic interference to the communication signal of the sensor during operation, thereby causing data transmission delays. By reducing the data packet size of the production data, the errors and retransmissions of the data packets are reduced, the probability of transmission delays is reduced, and the early warning stability of the safety risks is further improved.

[0034] Furthermore, the method of the present invention determines the frequency of collecting production data by setting a preset first data amount and a preset second data amount. Due to the wear of the grounding wire of the production equipment, the grounding is unstable, which in turn leads to unstable power supply, resulting in inaccurate sensor detection. By reducing the frequency of collecting production data, the fluctuation and noise of the data are reduced, making it easier for the system to handle abnormal situations, further improving the early warning stability of safety risks.

[0035] Furthermore, the method of the present invention determines the triggering threshold of the risk warning by setting a preset increase rate. Due to the aging of the heating elements in the baking equipment used to bake biscuits, the temperature regulation of the baking equipment is unstable, resulting in excessive heat dissipation, which causes the temperature in the production workshop to rise too quickly. By reducing the triggering threshold of the risk warning, the system can detect temperature abnormalities more sensitively, thereby improving the safe operation and production quality of the production workshop, and further improving the warning stability of safety risks. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 This is an overall flow chart of the food production workshop safety risk early warning method according to an embodiment of the present invention;

[0037] Figure 2 This is an overall structural block diagram of a food production workshop safety risk early warning system according to an embodiment of the present invention;

[0038] Figure 3 It is a logic flow chart of the food production workshop safety risk early warning method according to an embodiment of the present invention;

[0039] Figure 4 This is a specific flow chart of the process of determining the data packet size of production data in the food production workshop safety risk early warning method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0040] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0041] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0042] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0043] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0044] See also Figure 1 , Figure 2 , Figure 3 as well as Figure 4 As shown, they are respectively an overall flow chart, an overall structure block diagram, a logic flow chart and a specific flow chart of the process of determining the data packet size of production data of a food production workshop safety risk early warning method and system according to an embodiment of the present invention. A food production workshop safety risk early warning method of the present invention comprises:

[0045] Step S1, using a plurality of sensors to collect production data in a biscuit production workshop and transmit the data to a display screen, and training a risk assessment model based on the production data;

[0046] Step S2, using the trained risk assessment model to analyze the safety risks of the biscuit production workshop to output analysis results, setting a trigger threshold for risk warning according to historical analysis results, and issuing an alarm when the production data reaches the trigger threshold for risk warning;

[0047] Step S3, obtaining the transmission delay duration of the production data within a number of transmission cycles;

[0048] Step S4, determining the early warning stability of the safety risk based on the variance of the transmission delay time of the production data;

[0049] Step S5, if the warning stability does not meet the requirements, then determining the data packet size of the production data or determining the accuracy of the production data based on the average data volume of the collected production data;

[0050] Step S6: If the accuracy of the production data does not meet the requirements, the frequency of collecting the production data is determined or the triggering threshold of the risk warning is determined based on the temperature increase rate in the production workshop.

[0051] Specifically, the sensors include temperature sensors, humidity sensors, and pressure sensors.

[0052] Specifically, the production data includes the temperature in the production workshop, the humidity in the production workshop, and the concentration of harmful gases in the production workshop.

[0053] Specifically, the risk assessment model can be a risk matrix model, a level analysis model, or a risk index model.

[0054] Specifically, the process of training the risk assessment model is as follows: the collected production data of the biscuit production workshop is cleaned, converted and feature extracted in turn, the extracted features are used as the data set for training the model, the data set is divided into a training set and a test set, the training set is used to train the model, the test set is used to evaluate the trained model, the model is tuned according to the evaluation results, and the optimized model is deployed in practical applications.

[0055] Specifically, the process of analyzing the safety risks of a biscuit production workshop is as follows: use the trained risk assessment model to predict the collected data, evaluate the safety risk level in the current state, identify potential safety risks based on the results of the model output, and evaluate the severity and possibility of each risk based on the identified risk factors.

[0056] Specifically, the analysis results include risk level classification, generated warning information, and safety risk identification in the production workshop.

[0057] Specifically, the triggering thresholds for risk warnings include the temperature threshold in the production workshop, the air humidity threshold in the production workshop, and the harmful gas concentration threshold in the air in the production workshop.

[0058] In implementation, the method of the present invention determines the data packet size of the production data according to the variance of the transmission delay time of the production data. Since there is a large-scale stirring device in the biscuit production workshop, the motor of the stirring device generates electromagnetic interference to the communication signal of the sensor during operation, thereby causing data transmission delay. By reducing the data packet size of the production data, the error and retransmission of the data packet are reduced, and the probability of transmission delay is reduced. The acquisition frequency of the production data is determined according to the average data volume of the collected production data. Since the grounding wire of the production equipment is worn, the grounding is unstable, which in turn causes the power supply to be unstable, resulting in inaccurate sensor detection. By reducing the acquisition frequency of the production data, the fluctuation and noise of the data are reduced, making it easier for the system to handle abnormal situations. The trigger threshold of the risk warning is determined according to the temperature increase rate in the production workshop. Since the heating element in the baking equipment used to bake the biscuits is aged, the temperature regulation of the baking equipment is unstable, resulting in excessive heat dissipation, thereby causing the temperature in the production workshop to rise too fast. By reducing the trigger threshold of the risk warning, the system can detect temperature abnormalities more sensitively, improve the safe operation and production quality of the production workshop, and improve the warning stability of safety risks.

[0059] Specifically, determining the early warning stability of the security risk includes:

[0060] Obtaining the transmission delay time of the production data in a number of transmission cycles, and calculating the variance of the transmission delay time of the production data;

[0061] Comparing the variance of the transmission delay time length of the production data with a preset first variance;

[0062] If the variance of the transmission delay time length of the production data is greater than the preset first variance, it is determined that the early warning stability of the security risk does not meet the requirements.

[0063] Specifically, determining the accuracy of the production data includes:

[0064] Comparing the variance of the transmission delay time length of the production data with the preset first variance and the preset second variance respectively;

[0065] If the variance of the transmission delay time of the production data is greater than the preset first variance and less than or equal to the preset second variance, it is preliminarily determined that the accuracy of the production data does not meet the requirements, and whether the accuracy of the production data meets the requirements is further determined based on the average data volume of the collected production data.

[0066] It can be understood that the three intervals corresponding to the preset first variance and the preset second variance correspond to three situations respectively:

[0067] The first interval is when the variance of the transmission delay time of the production data is less than or equal to the preset first variance, and the early warning stability of the corresponding security risk meets the requirements;

[0068] The second interval is when the variance of the transmission delay time of the production data is greater than the preset first variance and less than or equal to the preset second variance, corresponding to the wear of the grounding wire of the production equipment, resulting in unstable grounding, which in turn leads to unstable power supply, resulting in inaccurate sensor detection;

[0069] The third interval is the preset second variance of the variance of the transmission delay time of the production data. The corresponding biscuit production workshop has a large mixing equipment, which causes the motor of the mixing equipment to generate electromagnetic interference to the communication signal of the sensor during operation, thereby causing delays in data transmission.

[0070] In practice, the range of the preset first variance is generally selected as [410ms 2 , 430ms 2 ], the preset second variance is generally selected in the range of [440ms 2 , 460ms 2 ].

[0071] Preferably, the preferred embodiment of the preset first variance is 420ms 2 The preferred embodiment of the preset second variance is 450ms 2 .

[0072] Specifically, the variance of the transmission delay time of the production data is the variance of the transmission delay time of the production data within several transmission cycles. The method for calculating the variance of the transmission delay time of the production data is a conventional technical means well known to technical personnel in this field. Therefore, the calculation process of the variance of the transmission delay time of the production data will not be repeated here.

[0073] In implementation, the method of the present invention determines the warning stability of security risks by setting a preset first variance and a preset second variance, thereby reducing the impact of the decrease in the accuracy of security risk warning due to inaccurate determination of the warning stability of security risks, and further improving the warning stability of security risks.

[0074] Specifically, determining the data packet size of the production data includes:

[0075] Comparing the variance of the transmission delay time length of the production data with the preset second variance;

[0076] If the variance of the transmission delay time length of the production data is greater than the preset second variance, the data packet size of the production data is reduced.

[0077] Specifically, the reduction range of the data packet size of the production data is determined by the difference between the variance of the transmission delay time length of the production data and a preset second variance.

[0078] Specifically, the difference between the variance of the transmission delay time of the production data and the preset second variance is within 100ms. 2 When the difference between the variance of the transmission delay time of the production data and the preset second variance exceeds 100ms, the data packet size of the production data is reduced to 0.9 times of the original; when the difference between the variance of the transmission delay time of the production data and the preset second variance exceeds 100ms 2 When it exceeds 50ms 2 , the data packet size of the production data is reduced by 60KB. For example, the difference between the variance of the transmission delay time of the production data and the preset second variance is 200ms 2 The current data packet size of the production data is 650KB, and the reduced data packet size of the production data is 650×0.9-60×2=465KB.

[0079] In implementation, the method of the present invention determines the data packet size of the production data by setting a preset first variance and a preset second variance. Since there is a large-scale mixing equipment in the biscuit production workshop, the motor of the mixing equipment generates electromagnetic interference to the communication signal of the sensor during operation, thereby causing data transmission delays. By reducing the data packet size of the production data, the errors and retransmissions of the data packets are reduced, the probability of transmission delays is reduced, and the early warning stability of the safety risks is further improved.

[0080] Specifically, determining the collection frequency of the production data includes:

[0081] Obtaining the data volume of the production data collected in several collection cycles, and calculating the average data volume of the collected production data;

[0082] Comparing the average data volume of the collected production data with the preset first data volume and the preset second data volume respectively;

[0083] If the average data volume of the collected production data is greater than the preset first data volume, it is further determined that the accuracy of the production data does not meet the requirements;

[0084] If the average data volume of the collected production data is greater than the preset first data volume and less than or equal to the preset second data volume, reducing the collection frequency of the production data;

[0085] If the average data volume of the collected production data is greater than the preset second data volume, it is preliminarily determined that the environmental stability of the production workshop does not meet the requirements, and whether the environmental stability of the production workshop meets the requirements is further determined based on the temperature rise rate in the production workshop.

[0086] It can be understood that the three intervals corresponding to the preset first data volume and the preset second data volume correspond to three situations respectively:

[0087] The first interval is when the average data volume of the collected production data is less than or equal to the preset first data volume, corresponding to the situation where the accuracy of the production data meets the requirements;

[0088] The second interval is when the average data volume of the collected production data is greater than the preset first data volume and less than or equal to the preset second data volume, corresponding to the situation where the grounding wire of the production equipment is worn out, resulting in unstable grounding, which in turn leads to unstable power supply, resulting in inaccurate sensor detection;

[0089] The third interval is when the average data volume of the collected production data is greater than the preset second data volume. The heating elements in the baking equipment used to bake the biscuits have aged, resulting in unstable temperature regulation of the baking equipment, causing excessive heat dissipation, and thus causing the temperature in the production workshop to rise too quickly.

[0090] In practice, the preset first data amount is generally selected from a range of [540KB, 560KB], and the preset second data amount is generally selected from a range of [590KB, 610KB].

[0091] Preferably, the preferred embodiment of the preset first data amount is 550KB, and the preferred embodiment of the preset second data amount is 600KB.

[0092] Specifically, the average data volume of the collected production data is the ratio of the total data volume of the production data collected in several collection cycles to the number of collection cycles.

[0093] In implementation, the method of the present invention further determines the accuracy of production data by setting a preset first data amount and a preset second data amount, thereby reducing the impact of decreased stability in early warning of security risks due to inaccurate further determination of the accuracy of production data, and further improving the stability in early warning of security risks.

[0094] Specifically, the reduction range of the frequency of collecting the production data is determined by the difference between the average data volume of the collected production data and a preset first data volume.

[0095] Specifically, when the difference between the average data volume of the collected production data and the preset first data volume is within 120KB, the collection frequency of production data is reduced to 0.95 times the original; when the difference between the average data volume of the collected production data and the preset first data volume exceeds 120KB, the collection frequency of production data is reduced by 1 time / minute for every 20KB exceeding the limit. For example, the difference between the average data volume of the collected production data and the preset first data volume is 160KB, the current collection frequency of production data is 8 times / minute, and the reduced collection frequency of production data is 8×0.95-1×2≈5 times / minute.

[0096] Specifically, when the collection frequency of the reduced production data is a decimal, the value of the collection frequency of the reduced production data is automatically rounded off to an integer.

[0097] In implementation, the method of the present invention determines the frequency of collecting production data by setting a preset first data amount and a preset second data amount. Due to the wear of the grounding wire of the production equipment, the grounding is unstable, which in turn leads to unstable power supply, resulting in inaccurate sensor detection. By reducing the frequency of collecting production data, the fluctuation and noise of the data are reduced, making it easier for the system to handle abnormal situations, further improving the stability of early warning of safety risks.

[0098] Specifically, determining the triggering threshold of the risk warning includes:

[0099] Obtain the temperature in the production workshop in a single cycle and calculate the temperature increase rate in the production workshop;

[0100] Comparing the temperature increase rate in the production workshop with a preset temperature increase rate;

[0101] If the temperature increase rate in the production workshop is greater than the preset increase rate, it is further determined that the environmental stability of the production workshop does not meet the requirements, and the triggering threshold of the risk warning is reduced.

[0102] It can be understood that the two intervals corresponding to the preset increase rate correspond to two situations:

[0103] The first interval is when the temperature increase rate in the production workshop is less than or equal to the preset increase rate, corresponding to the situation where the environmental stability of the production workshop meets the requirements;

[0104] The second interval is that the temperature rise rate in the production workshop is greater than the preset rise rate, which causes aging of the heating elements in the baking equipment used to bake biscuits, resulting in unstable temperature regulation of the baking equipment, excessive heat dissipation, and thus causing the temperature in the production workshop to rise too quickly.

[0105] In practice, the preset temperature increase rate is generally selected in the range of [2°C / h, 4°C / h].

[0106] Preferably, the preset increasing rate is 3° C. / h.

[0107] Specifically, the temperature increase rate in the production workshop is the ratio of the difference between the temperature in the production workshop at the end of a single cycle and the temperature in the production workshop at the beginning of a single cycle to the duration of the single cycle.

[0108] During implementation, the method of the present invention further determines the environmental stability of the production workshop by setting a preset increase rate, thereby reducing the impact of the decreased stability of the early warning of safety risks due to inaccurate further determination of the environmental stability of the production workshop, and further improving the stability of the early warning of safety risks.

[0109] Specifically, the reduction range of the triggering threshold of the risk warning is determined by the difference between the temperature increase rate in the production workshop and the preset temperature increase rate.

[0110] Specifically, when the difference between the temperature rise rate in the production workshop and the preset temperature rise rate is within 2°C / h, the trigger threshold of the risk warning is reduced to 0.92 times the original value; when the difference between the temperature rise rate in the production workshop and the preset temperature rise rate exceeds 2°C / h, the trigger threshold of the risk warning is reduced by 1.5°C for every 1°C / h exceeding it. For example, the difference between the temperature rise rate in the production workshop and the preset temperature rise rate is 4°C / h, the current trigger threshold of the risk warning is 35°C, and the reduced trigger threshold of the risk warning is 35×0.92-1.5×2=29.2°C.

[0111] During implementation, the method of the present invention determines the triggering threshold of the risk warning by setting a preset increase rate. Due to the aging of the heating elements in the baking equipment used to bake biscuits, the temperature regulation of the baking equipment is unstable, resulting in excessive heat dissipation, which causes the temperature in the production workshop to rise too quickly. By reducing the triggering threshold of the risk warning, the system can detect temperature abnormalities more sensitively, improve the safe operation and production quality of the production workshop, and further improve the stability of the warning of safety risks.

[0112] A food production workshop safety risk early warning system, comprising:

[0113] A data acquisition module, comprising a data acquisition unit for acquiring production data in a biscuit production workshop through a plurality of sensors and a data transmission unit connected to the data acquisition unit for transmitting the production data to a display screen;

[0114] a risk analysis module connected to the data acquisition module and used to analyze the production data to output analysis results, including a model training unit used to train a risk assessment model according to the production data and a risk analysis unit connected to the model training unit and used to analyze the safety risks of the biscuit production workshop to output the analysis results;

[0115] An alarm module, which is connected to the risk analysis module and is used to determine a trigger threshold of risk warning according to historical analysis results and issue an alarm when the trigger threshold is reached;

[0116] A storage module, which is respectively connected to the data acquisition module, the risk analysis module and the alarm module, and is used to store the production data, the risk assessment model, the analysis results and the triggering threshold of the risk warning;

[0117] A control module, which is respectively connected to the data acquisition module, the risk analysis module, the alarm module and the storage module, and is used to determine the data packet size of the production data according to the variance of the transmission delay time of the production data or determine the collection frequency of the production data according to the average data volume of the collected production data, and determine the triggering threshold of the risk warning according to the average data volume of the collected production data and the temperature rise rate in the production workshop.

[0118] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

Claims

1. A food production workshop safety risk early warning method, characterized in that: include: Using a number of sensors to collect production data in a biscuit production workshop and transmit it to a display screen, and training a risk assessment model based on the production data; Analyze the safety risks of the biscuit production workshop using the trained risk assessment model to output analysis results, set a trigger threshold for risk warning according to the historical analysis results, and issue an alarm when the production data reaches the trigger threshold for risk warning; Obtain the transmission delay duration of production data within several transmission cycles; Determine the early warning stability of security risks based on the variance of the transmission delay time of production data; If the warning stability does not meet the requirements, the data packet size of the production data is determined or the accuracy of the production data is determined based on the average data volume of the collected production data; If the accuracy of the production data does not meet the requirements, the frequency of collecting the production data is determined or the triggering threshold of the risk warning is determined based on the temperature increase rate in the production workshop.

2. The food production workshop safety risk early warning method according to claim 1 is characterized in that: Determine the early warning stability of the security risk, including: Comparing the variance of the transmission delay time of the production data with a preset first variance; If the variance of the transmission delay time length of the production data is greater than the preset first variance, it is determined that the early warning stability of the security risk does not meet the requirements.

3. The food production workshop safety risk early warning method according to claim 2 is characterized in that: Determine the accuracy of the production data, including: Comparing the variance of the transmission delay time length of the production data with the preset first variance and the preset second variance respectively; If the variance of the transmission delay time of the production data is greater than the preset first variance and less than or equal to the preset second variance, it is preliminarily determined that the accuracy of the production data does not meet the requirements, and whether the accuracy of the production data meets the requirements is further determined based on the average data volume of the collected production data.

4. The food production workshop safety risk early warning method according to claim 3 is characterized in that: Determining the data packet size of the production data includes: Comparing the variance of the transmission delay time length of the production data with the preset second variance; If the variance of the transmission delay time length of the production data is greater than the preset second variance, the data packet size of the production data is reduced.

5. The food production workshop safety risk early warning method according to claim 4 is characterized in that: The reduction range of the data packet size of the production data is determined by the difference between the variance of the transmission delay time length of the production data and a preset second variance.

6. The food production workshop safety risk early warning method according to claim 3 is characterized in that: Determining the frequency of collecting the production data, including: Comparing the average data volume of the collected production data with the preset first data volume and the preset second data volume respectively; If the average data volume of the collected production data is greater than the preset first data volume, it is further determined that the accuracy of the production data does not meet the requirements; If the average data volume of the collected production data is greater than the preset first data volume and less than or equal to the preset second data volume, reducing the collection frequency of the production data; If the average data volume of the collected production data is greater than the preset second data volume, it is preliminarily determined that the environmental stability of the production workshop does not meet the requirements, and whether the environmental stability of the production workshop meets the requirements is further determined based on the temperature rise rate in the production workshop.

7. The food production workshop safety risk early warning method according to claim 6 is characterized in that: The reduction range of the frequency of collecting the production data is determined by the difference between the average data volume of the collected production data and a preset first data volume.

8. The food production workshop safety risk early warning method according to claim 6 is characterized in that: Determining the triggering threshold of the risk warning includes: Compare the temperature increase rate in the production workshop with the preset temperature increase rate; If the temperature increase rate in the production workshop is greater than the preset increase rate, it is further determined that the environmental stability of the production workshop does not meet the requirements, and the triggering threshold of the risk warning is reduced.

9. The food production workshop safety risk early warning method according to claim 8 is characterized in that: The reduction range of the triggering threshold of the risk warning is determined by the difference between the temperature increase rate in the production workshop and the preset temperature increase rate.

10. A food production workshop safety risk early warning system using the food production workshop safety risk early warning method according to any one of claims 1 to 9, characterized in that: include: A data acquisition module, comprising a data acquisition unit for acquiring production data in a biscuit production workshop through a plurality of sensors and a data transmission unit connected to the data acquisition unit for transmitting the production data to a display screen; a risk analysis module connected to the data acquisition module and used to analyze the production data to output analysis results, including a model training unit used to train a risk assessment model according to the production data and a risk analysis unit connected to the model training unit and used to analyze the safety risks of the biscuit production workshop to output the analysis results; An alarm module, which is connected to the risk analysis module and is used to determine a trigger threshold of risk warning according to historical analysis results and issue an alarm when the trigger threshold is reached; A storage module, which is respectively connected to the data acquisition module, the risk analysis module and the alarm module, and is used to store the production data, the risk assessment model, the analysis results and the triggering threshold of the risk warning; A control module, which is respectively connected to the data acquisition module, the risk analysis module, the alarm module and the storage module, and is used to determine the data packet size of the production data according to the variance of the transmission delay time of the production data or determine the collection frequency of the production data according to the average data volume of the collected production data, and determine the triggering threshold of the risk warning according to the average data volume of the collected production data and the temperature rise rate in the production workshop.

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