An edge-computing-based flour mill safety monitoring system

Abstract

The embodiment of the application discloses an edge computing-based flour mill safety monitoring system, and relates to the technical field of edge computing.The system comprises: a plurality of temperature sensors distributed in a plurality of detection positions in a target flour mill, which are used for collecting temperature information around the current detection position in real time; an edge computing module connected with the temperature sensors, which is used for determining an intelligent self-adjusting target temperature according to the temperature information and the position of flammable and explosive goods in the target flour mill; and a control module connected with the edge computing module, which is used for controlling a temperature adjusting device to adjust the indoor temperature of the target flour mill to the intelligent self-adjusting target temperature.The application can automatically adjust the temperature in the flour mill, timely eliminate hidden dangers, ensure personnel safety, and avoid losses.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of edge computing, and particularly relates to a flour mill safety monitoring system based on edge computing. BACKGROUND

[0002] In the production process of a flour mill, a large amount of fine dust is generated. When the dust is suspended in the air and reaches a high concentration, such as 9.7 g of flour per cubic meter of air, it will burn instantly and cause a violent explosion once it encounters the appropriate temperature, which is no less powerful than a bomb. The reason why dust can become "explosive" is that dust has a large specific surface area. Compared with bulk materials, dust has strong chemical activity, large contact area with air, and more adsorbed oxygen molecules, and the oxidation exothermic process is fast. Therefore, the environment of the flour mill needs to be monitored for safety.

[0003] At present, the safety monitoring system of the flour mill relies on monitoring cameras to monitor the environment of the flour mill, and then monitoring personnel remotely patrol and inspect the monitoring video to find and eliminate safety hazards, or relies on multiple installed temperature and humidity sensors to collect the temperature and humidity information around, and then personnel check to find abnormalities and take countermeasures. However, this system is not intelligent enough and requires a large amount of human resources. In addition, the inspection work is often periodic and cannot achieve real-time monitoring, which is not timely. SUMMARY

[0004] Therefore, the application provides a flour mill safety monitoring system based on edge computing, which solves the problems of the existing flour mill safety monitoring system, such as not being intelligent enough, consuming more human resources, and being not timely enough. The application can automatically adjust the temperature in the flour mill according to the real-time temperature information in the flour mill and the location of flammable and explosive materials, so as to timely investigate hidden dangers, ensure personnel safety, avoid losses, and effectively save human resources.

[0005] The application provides a flour mill safety monitoring system based on edge computing, which includes:

[0006] A plurality of temperature sensors are distributed in a plurality of detection positions in the target flour mill room, and are used to collect the temperature information around the current detection position in real time;

[0007] An edge computing module is connected with the temperature sensor, and is used to determine an intelligent self-adjusting target temperature according to the temperature information and the location of flammable and explosive materials in the target flour mill;

[0008] A control module is connected with the edge computing module, and is used to control a temperature adjusting device to adjust the indoor temperature of the target flour mill to the intelligent self-adjusting target temperature.

[0009] In an optional embodiment, the flour mill safety monitoring system based on edge computing further comprises:

[0010] a humidity sensor arranged close to each temperature sensor, configured to collect humidity information around the current detection position in real time; the humidity sensor is connected to the edge computing module;

[0011] The edge computing module is specifically configured to determine whether intelligent self-adjustment of temperature is needed according to the temperature information and humidity information around each detection position, and if so, determine the intelligent self-adjustment target temperature.

[0012] In an optional embodiment, the edge computing module comprises:

[0013] an intelligent control value calculation unit configured to calculate the control value entering the intelligent self-adjustment based on a first formula according to the temperature information and humidity information of each detection position;

[0014] a judgment unit configured to determine whether the control value entering the intelligent self-adjustment calculated currently is equal to 1;

[0015] a target temperature calculation unit configured to calculate the intelligent self-adjustment target temperature according to a second formula when the determination result of the judgment unit is yes;

[0016] wherein the first formula is:

[0017]

[0018] In the first formula, E represents the control value entering the intelligent self-adjustment; Q(a) represents the temperature value around the a-th detection position collected by the a-th temperature sensor in the target flour mill; W(a) represents the humidity value around the a-th detection position collected by the a-th humidity sensor in the target flour mill; [Q min ,Q max ] represents the preset normal temperature range; [W min ,W max ] represents the preset normal humidity range; ∈ represents the belongs to symbol; F{} represents the judgment function, if the algorithm in the bracket is true, the function value is 1, otherwise the function value is 0; a=1,2,…,n; n represents the number of detection positions in the target flour mill;

[0019] The second formula is:

[0020]

[0021] In the second formula, Q0 represents the intelligent self-adjusting target temperature; [x(a), y(a), z(a)] represents the spatial coordinate value of the predetermined target flour mill in the a-th detection position in the preset three-dimensional coordinate system; and M represents the set of spatial coordinate values of the predetermined flammable and explosive goods in the target flour mill in the preset three-dimensional coordinate system.

[0022] In an optional embodiment, the flour mill safety monitoring system based on edge computing further comprises:

[0023] The warning module is configured to issue a warning when the determination result of the determination unit is yes.

[0024] In an optional embodiment, the warning module comprises:

[0025] The warning level value calculation unit is configured to calculate a current warning level value according to a third formula when the determination result of the determination unit is yes.

[0026] The warning unit is configured to issue a warning according to a corresponding relationship between the pre-set warning level value and the warning mode and the warning mode corresponding to the current warning level value.

[0027] The third formula is as follows:

[0028]

[0029] In the third formula, J represents the current warning level value; S{[x(a), y(a), z(a)], R} represents the volume value of flammable and explosive goods in a sphere with [x(a), y(a), z(a)] as the center and R as the radius in the preset three-dimensional coordinate system; R is a preset radius value; and S0 represents the total volume of the target flour mill determined in advance.

[0030] In an optional embodiment, the intelligent control value calculation unit of the edge computing module is further configured to determine a temperature sensor with a current temperature value not in the preset normal temperature range and / or a humidity sensor with a current humidity not in the normal humidity range as an abnormal sensor, and send warning information including at least the identification information, position information, and collected temperature / humidity information of the abnormal sensor to the warning module.

[0031] The warning module is further configured to send the received warning information to a designated monitoring terminal.

[0032] In an optional embodiment, the corresponding relationship between the warning level value and the warning mode is as follows:

[0033] J=1 represents high-level warning, and the warning mode is to send warning information to a designated monitoring terminal and sound an alarm in the target flour mill.

[0034] J=2 represents a medium level early warning, and the early warning mode is to send early warning information to a designated monitoring terminal and control a preset alarm bell in a workshop where the abnormal sensor is located to sound an alarm;

[0035] J=3 represents a low level early warning, and the early warning mode is to send early warning information to a designated monitoring terminal.

[0036] In an optional embodiment, the designated monitoring terminal displays the early warning information in a graphical manner, and the designated monitoring terminal is further configured to store the received early warning information and the receiving time.

[0037] The flour mill safety monitoring system based on edge computing provided by the application first collects temperature information around through a temperature sensor, then determines an intelligent self-adjusting target temperature according to the temperature information and the location of flammable and explosive goods in the target flour mill through an edge computing module, and finally controls a temperature adjusting device to adjust the indoor temperature of the flour mill to the intelligent self-adjusting target temperature. The application can automatically adjust the temperature in the flour mill according to the temperature information in the flour mill and the location of flammable and explosive goods, so as to achieve the purpose of timely checking hidden dangers, ensuring personnel safety, avoiding losses, and effectively saving human resources. BRIEF DESCRIPTION OF DRAWINGS

[0038] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description only constitute some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor on the basis of these drawings.

[0039] Figure 1 A structure schematic diagram of the flour mill safety monitoring system based on edge computing provided by the embodiment of the present application. DETAILED DESCRIPTION

[0040] The embodiments of the present application will be described in detail below with reference to the drawings.

[0041] It should be clear that the described embodiments are only some of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0042] Figure 1 A structure schematic diagram of the flour mill safety monitoring system based on edge computing provided by the embodiment of the present application. Referring to Figure 1 The system comprises:

[0043] A plurality of temperature sensors 1 are arranged at a plurality of detection positions in the target flour mill room to collect temperature information around the current detection position in real time.

[0044] The edge computing module 2 is connected with the temperature sensor 1 and is configured to determine an intelligent self-adjusting target temperature according to the temperature information and the position of the flammable and explosive goods in the target flour mill.

[0045] The control module 3 is connected with the edge computing module 2 and is configured to control the temperature adjusting device to adjust the indoor temperature of the target flour mill to the intelligent self-adjusting target temperature.

[0046] The flour mill safety monitoring system based on edge computing provided by the embodiment has the advantages that: the temperature information around the current detection position is collected by the temperature sensor 1, and then the intelligent self-adjusting target temperature is determined by the edge computing module 2 according to the temperature information and the position of the flammable and explosive goods in the target flour mill, and finally the temperature adjusting device is controlled to adjust the indoor temperature of the flour mill to the intelligent self-adjusting target temperature. The flour mill safety monitoring system based on edge computing provided by the embodiment can automatically adjust the temperature in the flour mill according to the temperature information in the flour mill and the position of the flammable and explosive goods, so as to timely investigate hidden dangers, ensure personnel safety, avoid losses, and effectively save human resources.

[0047] As an optional embodiment, the flour mill safety monitoring system based on edge computing further comprises:

[0048] A humidity sensor is arranged close to each temperature sensor 1. Obviously, in the embodiment, the number of the temperature sensors and the humidity sensors in the target flour mill is equal to the number of the preset detection positions. The humidity sensor is configured to collect humidity information around the current detection position in real time. The humidity sensor is connected with the edge computing module 2.

[0049] The edge computing module 2 is specifically configured to determine whether the temperature needs to be intelligently self-adjusted according to the temperature information and the humidity information around each detection position, and if yes, determine the intelligent self-adjusting target temperature.

[0050] The flour dust has a minimum ignition temperature, and the air humidity in the surrounding environment is related to the dust explosion. Generally, the greater the humidity, the weaker and more difficult the dust explosion. However, the flour processing plant is not allowed to contain high water in the air to avoid affecting the quality of the flour. The temperature and humidity sensor is used to collect the temperature and humidity around the detection position in real time, and then the temperature in the flour mill is intelligently self-adjusted according to the temperature and humidity, so that the production safety in the flour mill is effectively ensured.

[0051] As an optional embodiment, the edge computing module 2 comprises:

[0052] a smart control value calculation unit configured to calculate, based on a temperature information and a humidity information of each detection position, a control value entering a smart self-regulation according to a first formula;

[0053] a judgment unit configured to judge whether the control value entering the smart self-regulation calculated currently is equal to 1;

[0054] a target temperature calculation unit configured to calculate a smart self-regulation target temperature according to a second formula when the judgment result of the judgment unit is yes;

[0055] wherein the first formula is:

[0056]

[0057] In the first formula, E represents the control value entering the smart self-regulation; Q(a) represents a temperature value around an a-th detection position collected by an a-th temperature sensor in a target flour mill; W(a) represents a humidity value around the a-th detection position collected by an a-th humidity sensor in the target flour mill; [Q min , max ] represents a preset normal temperature range; [W min , max ] represents a preset normal humidity range; ∈ represents a belongs-to symbol; F{} represents a judgment function, and the function value is 1 if the formula in the brackets is true, and the function value is 0 otherwise; a = 1, 2, …, n; n represents a number of detection positions in the target flour mill;

[0058] the second formula is:

[0059]

[0060] In the second formula, Q0 represents the intelligent self-adjusting target temperature; [x(a), y(a), z(a)] represents the spatial coordinate value of the predetermined target flour mill in the a-th detection position in the preset three-dimensional coordinate system; and M represents the spatial coordinate value set of the predetermined flammable and explosive goods in the target flour mill in the preset three-dimensional coordinate system. The preset three-dimensional coordinate system is a spatial three-dimensional coordinate system with an arbitrary point as the origin, which is set by the user in advance. For example, if the target flour mill occupies a rectangle, the projection of the target flour mill on the ground plane is also a rectangle, the ground plane can be used as the XOY plane of the three-dimensional coordinate system, one of the vertices of the rectangular projection of the target flour mill on the ground plane can be used as the origin O, one of the sides of the rectangular projection of the target flour mill on the ground plane at the lowermost side can be used as the X-axis, and the direction passing through the O point and perpendicular to the X-axis on the ground plane can be used as the Y-axis, and the direction passing through the O point and perpendicular to the ground plane vertically upward can be used as the Z-axis, that is, the spatial three-dimensional coordinate system is established. Obviously, the spatial three-dimensional coordinate system can also select other origins and X, Y, Z axes in space, as long as the M values required for calculation of the second formula are obtained in the same three-dimensional coordinate system.

[0061] The beneficial effects of the above technical solutions are: the first formula (1) is used to determine whether to enter the intelligent self-adjusting and intelligent early warning according to the indoor temperature and humidity information of multiple positions in the flour mill, so that the system performs self-checking and self-control, and the automation capability of the system is embodied; then the second formula (2) is used to intelligently adjust the temperature in the mill according to the temperature and humidity of the position where the temperature and humidity are abnormal and in combination with the distribution of flammable and explosive goods in the mill, so that the occurrence of fire hazards is alleviated by reducing the temperature without affecting the quality of flour when there are fire hazards.

[0062] As an optional embodiment, the flour mill safety monitoring system based on edge computing further comprises:

[0063] The warning module is configured to issue a warning when the determination result of the determination unit is yes.

[0064] The beneficial effects of the above technical solutions are: when the temperature and humidity in the flour mill are abnormal, the warning module issues a warning message, so that relevant personnel such as managers, workers, etc. can timely understand the abnormal situation, and timely develop response measures to exclude fire safety hazards and ensure the safety of the flour mill.

[0065] As an optional embodiment, the warning module comprises:

[0066] The warning level value calculation unit is configured to calculate the current warning level value according to the third formula when the determination result of the determination unit is yes.

[0067] The early warning unit is configured to perform early warning according to a corresponding relationship between a preset early warning level value and an early warning mode, and according to the early warning mode corresponding to the current early warning level value.

[0068] The third formula is:

[0069]

[0070] In the third formula, J represents the current early warning level value; S{[x(a), y(a), x(a)], R} represents a volume value of the flammable and explosive goods in a sphere with [x(a), y(a), z(a)] as the center and R as the radius drawn in the preset three-dimensional coordinate system; R is a preset radius value; and S0 represents a total volume of the target flour mill determined in advance.

[0071] The above technical solution has the beneficial effect that the third formula (3) is used to control the level (i.e., the corresponding early warning mode) of early warning according to the distribution of flammable and explosive goods around the position where the temperature and humidity are abnormal, so as to perform corresponding early warning according to different situations, to realize different processing of different situations, and to improve the system efficiency.

[0072] As an optional embodiment, the intelligent control value calculation unit of the edge computing module 2 is further configured to determine a temperature sensor whose current temperature value is not within the preset normal temperature range and / or a humidity sensor whose current humidity is not within the normal humidity range as an abnormal sensor, and send early warning information including at least the identification information, position information, and collected temperature / humidity information of the abnormal sensor to the early warning module;

[0073] The early warning module is further configured to send the received early warning information to a designated monitoring terminal.

[0074] The above technical solution has the beneficial effect that when abnormal temperature and humidity occur in the flour mill, the corresponding abnormal temperature / humidity sensor identification information, position information, and collected temperature / humidity information are sent as part of the early warning information to the designated monitoring terminal, so that the management personnel can more clearly understand the abnormal situation and abnormal position in the flour mill and take more targeted disposal measures, and the safety hidden danger can be more efficiently eliminated.

[0075] As an optional embodiment, the corresponding relationship between the early warning level value and the early warning mode is as follows:

[0076] J=1 represents high-level early warning, and the early warning mode is to send early warning information to a designated monitoring terminal and sound an alarm throughout the target flour mill;

[0077] J=2 represents medium-level early warning, and the early warning mode is to send early warning information to a designated monitoring terminal and control a preset alarm bell in the workshop where the abnormal sensor is located to sound an alarm.

[0078] J=3 represents a low level warning, and the warning mode is sending warning information to a designated monitoring terminal.

[0079] The beneficial effects of the above technical solution are: according to the current warning level value, the level of the warning and the corresponding warning mode are controlled for intelligent warning, so that corresponding warning is realized according to different situations, and further, different processing of different situations is realized, for example, the higher the warning level is, the more serious the safety hidden danger of the flour mill is, and the corresponding response measures covering a wider range and greater strength will effectively reduce the impact of hidden dangers, improve system efficiency, and avoid more serious safety accidents.

[0080] As an optional embodiment, the designated monitoring terminal displays the warning information in a graphical manner, and the designated monitoring terminal is further used for storing the received warning information and receiving time.

[0081] The beneficial effects of the above technical solution are: the warning information is displayed in a graphical manner, which can make the warning information more readable; in addition, the warning information and the time when the warning information is received are also recorded, which is convenient for subsequent tracing and statistical work.

[0082] From the content of the above embodiment, by adding an edge computing module (which can be arranged in an existing monitoring camera), the environment in the factory is obtained, and the environment data in the factory is monitored; and the indoor temperature and humidity of multiple positions in the flour mill are detected by a temperature and humidity sensor, if the temperature and humidity of any position is found to be abnormal, the temperature in the factory is intelligently self-adjusted according to the temperature and humidity of the position where the temperature and humidity is abnormal and in combination with the distribution of flammable and explosive materials in the factory, the safety in the factory is ensured, and at the same time, intelligent warning is carried out according to the distribution of flammable and explosive materials around the position where the temperature and humidity is abnormal, which effectively improves the safety of the flour mill.

[0083] The present application is described with reference to flowcharts and / or block diagrams of the method, device (system), and computer program product according to the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of the flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices produce a machine that implements the method specified in the flowcharts and / or block diagrams. Figure 1 The device for implementing the method specified in one flow or multiple flows and / or blocks Figure 1 The device for implementing the method specified in one flow or multiple flows and / or blocks

[0084] These computer program instructions can also be stored in a computer- readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instructions which implement the Figure 1 method specified in the flow or flows and / or blocks Figure 1 of the block or blocks.

[0085] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions that are executed on the computer or other programmable apparatus provide steps for implementing the Figure 1 method specified in the flow or flows and / or blocks Figure 1 of the block or blocks.

[0086] Obviously, numerous modifications and variations of the present application are possible in light of the above teachings. It is therefore to be understood that within the scope of the apparent to those skilled in the art, any modifications and / or improvements to arrive at the modifications and / or improvements of the present application which are within the spirit and scope of the present application. The above description is the only preferred embodiment of the present application. However, it is intended to cover any alternatives and modifications of the present application within the scope of the claims of the present application and their equivalents. Therefore, the scope of the present application should be governed by the following claims.

Claims

1. A mill safety monitoring system based on edge computing, characterized in that, The system comprises: a plurality of temperature sensors distributed at a plurality of detection positions in a target flour mill, configured to collect temperature information around the current detection position in real time; an edge computing module connected with the temperature sensors, configured to determine an intelligent self-adjusting target temperature according to the temperature information and the position of flammable and explosive goods in the target flour mill; a control module connected with the edge computing module, configured to control a temperature adjusting device to adjust the indoor temperature of the target flour mill to the intelligent self-adjusting target temperature; wherein the system further comprises: a humidity sensor arranged close to each temperature sensor, configured to collect humidity information around the current detection position in real time; the humidity sensor is connected with the edge computing module; the edge computing module is specifically configured to determine whether intelligent self-adjusting of temperature is needed according to the temperature information and the humidity information around each detection position, and if so, determine the intelligent self-adjusting target temperature; wherein the edge computing module comprises: an intelligent control value calculation unit configured to calculate a control value entering intelligent self-adjusting based on a first formula according to the temperature information and the humidity information of each detection position; a judgment unit configured to determine whether the control value entering intelligent self-adjusting calculated currently is equal to 1; a target temperature calculation unit configured to calculate the intelligent self-adjusting target temperature according to a second formula when the determination result of the judgment unit is yes; wherein the first formula is: In the first formula, E represents the control value entering the intelligent self-adjustment; Q(a) represents the temperature value around the a-th detection position collected by the a-th temperature sensor in the target flour mill; W(a) represents the humidity value around the a-th detection position collected by the a-th humidity sensor in the target flour mill; [Q min , Q max ] represents the preset normal temperature range; [W min , W max ] represents the preset normal humidity range; ∈ represents the belongs to symbol; F{} represents the judgment function, and the function value is 1 if the formula in the bracket is true, and the function value is 0 otherwise; a = 1, 2, …, n; n represents the number of detection positions in the target flour mill; and the second formula is: In the second formula, Q0 represents the intelligent self-adjusting target temperature; [x(a), y(a), z(a)] represents the spatial coordinate value of the a-th detection position in the target flour mill in a preset three-dimensional coordinate system; M represents the spatial coordinate value set of flammable and explosive goods in the target flour mill in the preset three-dimensional coordinate system.

2. The edge-computing based flour mill safety monitoring system as claimed in claim 1, wherein, The system further comprises: a warning module configured to issue a warning when the determination result of the judgment unit is yes.

3. The edge-computing-based flour mill safety monitoring system of claim 2, wherein, The warning module comprises: a warning level value calculation unit configured to calculate a current warning level value according to a third formula when the determination result of the judgment unit is yes; a warning unit configured to issue a warning according to the corresponding relationship between the pre-set warning level value and the warning mode, and according to the warning mode corresponding to the current warning level value; wherein the third formula is: In the third formula, J represents the current warning level value; S{[x(a), y(a), z(a)], R} represents the volume value of flammable and explosive goods in the sphere with [x(a), y(a), z(a)] as the center and R as the radius in the preset three-dimensional coordinate system; R is a preset radius value; S0 represents the total volume of the target flour mill determined in advance.

4. The edge-computing based flour mill safety monitoring system of claim 2 or 3, wherein, The intelligent control value calculation unit of the edge computing module is further configured to determine a temperature sensor whose current temperature value is not within the preset normal temperature range and / or a humidity sensor whose current humidity is not within the normal humidity range as an abnormal sensor, and send warning information including at least the identification information, position information and collected temperature / humidity information of the abnormal sensor to the warning module. The pre-warning module is further configured to send the received pre-warning information to a designated monitoring terminal.

5. The edge-computing-based flour mill safety monitoring system of claim 4, wherein, The corresponding relationship between the pre-warning level value and the pre-warning mode is: J=1 represents high-level pre-warning, and the pre-warning mode is to send pre-warning information to a designated monitoring terminal and to sound an alarm in the whole flour mill; J=2 represents middle-level pre-warning, and the pre-warning mode is to send pre-warning information to a designated monitoring terminal and to control a preset alarm bell in a workshop where the abnormal sensor is located to sound an alarm; J=3 represents low-level pre-warning, and the pre-warning mode is to send pre-warning information to a designated monitoring terminal.

6. The edge-computing-based flour mill safety monitoring system of claim 4, wherein, The designated monitoring terminal displays the pre-warning information in a graphical manner, and the designated monitoring terminal is further configured to store the received pre-warning information and the receiving time.

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