Cigarette storage warehouse environment regulation and control method and system

Abstract

The invention discloses a cigarette storage warehouse environment regulation and control method and system, and the method comprises the steps: obtaining the environment parameter information of a to-be-regulated and controlled storage warehouse, and determining a temperature and humidity distribution field image; performing feature recognition on the temperature and humidity distribution field image, and when the temperature and humidity distribution field image has preset abnormal features, determining an abnormal warehouse area, the environment temperature corresponding to the abnormal warehouse area exceeding a preset standard temperature range, and / or the environment humidity corresponding to the abnormal warehouse area exceeding a preset standard humidity range; obtaining cigarette parameter information corresponding to the abnormal warehouse area, and determining an environmental parameter optimization strategy based on the cigarette parameter information, a preset abnormal feature, a preset standard temperature range and / or a preset standard humidity range; the feasibility of the environment parameter optimization strategy is evaluated, and whether the environment parameter optimization strategy is executed or not is determined; according to the invention, the regulation and control precision of the environmental parameters of the storage warehouse is improved, and the effectiveness of the optimization result is improved by evaluating the feasibility of the environmental parameter optimization strategy.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental control, and more particularly to a method and system for controlling the environment of a cigarette storage warehouse. Background Art

[0002] As a special commodity, the storage conditions of cigarettes directly affect the quality and taste of the product. As consumers' demand for product quality becomes higher and higher, the tobacco industry's requirements for the environment of cigarette storage warehouses are becoming more and more stringent. Once the storage warehouse environment does not meet the storage requirements of cigarettes, it may cause the cigarettes to deteriorate or become moldy. Therefore, it is particularly critical to regulate the environment of cigarette storage warehouses.

[0003] At present, most tobacco storage warehouses generally observe and analyze the sensor values ​​in the warehouse manually. When abnormal monitoring values ​​are found, mechanical ventilation equipment or air conditioning equipment is manually turned on to maintain the temperature and humidity inside the warehouse within an appropriate range.

[0004] However, since different operators may interpret sensor values ​​differently, inaccurate abnormality judgments may occur. At the same time, since manual observation and analysis of sensor values ​​requires a certain amount of time, there may be a response lag when abnormal monitoring values ​​are discovered and the relevant equipment is manually turned on for regulation, which may also affect the accuracy of regulating the storage warehouse environmental parameters.

[0005] Therefore, how to provide a method for controlling the environment of a cigarette storage warehouse to improve the accuracy of controlling the environmental parameters of the storage warehouse is an urgent problem that needs to be solved by those skilled in the art. Summary of the Invention

[0006] In view of this, the present invention provides a method and system for controlling the environment of a cigarette storage warehouse to solve the technical problems mentioned in the background technology.

[0007] In order to achieve the above object, the present invention adopts the following technical solutions:

[0008] A method for controlling the environment of a cigarette storage warehouse comprises the following steps:

[0009] S1. Obtain environmental parameter information of the storage warehouse to be regulated, including ambient temperature and humidity, and determine the temperature and humidity distribution field image of the storage warehouse to be regulated based on the environmental parameter information;

[0010] S2. Perform feature recognition on the temperature and humidity distribution field image. When a preset abnormal feature exists in the temperature and humidity distribution field image, determine the abnormal warehouse area based on the preset abnormal feature. The abnormal warehouse area corresponds to an ambient temperature that exceeds a preset standard temperature range, and / or the abnormal warehouse area corresponds to an ambient humidity that exceeds a preset standard humidity range;

[0011] S3. Obtain cigarette parameter information corresponding to the abnormal warehouse area and determine an environmental parameter optimization strategy based on the cigarette parameter information, preset abnormal characteristics, and a preset standard temperature range and / or a preset standard humidity range. The environmental parameter optimization strategy includes optimizing temperature and / or optimizing humidity. The cigarette parameter information includes stacking height, stacking quantity, and packaging completion time.

[0012] S4. Evaluate the feasibility of the environmental parameter optimization strategy and determine whether to implement the environmental parameter optimization strategy.

[0013] Preferably, step S1 further includes obtaining weather parameter information and site ventilation parameter information, generating a flow distribution field image, and superimposing the flow distribution field image onto the temperature and humidity distribution field image to optimize the temperature and humidity distribution field image.

[0014] Preferably, the generation process of the flow distribution field image is specifically as follows:

[0015] Construct a three-dimensional warehouse model of the storage warehouse to be regulated based on the actual size and shape of the storage warehouse to be regulated;

[0016] Annotate the 3D warehouse model based on the site ventilation parameter information to obtain a 3D annotated warehouse model;

[0017] Determine the air flow velocity field according to the preset air flow equation and weather parameter information;

[0018] By superimposing the air flow velocity field onto the 3D annotated warehouse model, an image of the flow distribution field can be obtained.

[0019] Preferably, the specific contents of step S4 include:

[0020] S41. Identify edge point information of abnormal warehouse area from the temperature and humidity distribution field image, and determine the abnormal area of ​​abnormal warehouse area based on the edge point information;

[0021] S42. When the area of ​​the abnormal region is not less than the preset area, directly execute the environmental parameter optimization strategy; when the area of ​​the abnormal region is less than the preset area, obtain the simulated warehouse model corresponding to the control storage warehouse, and drive the simulated warehouse model based on the environmental parameter optimization strategy to obtain a simulated temperature and humidity distribution field image;

[0022] S43. Feature recognition is performed on the simulated temperature and humidity distribution field image to determine whether there is an abnormal correlation impact area in the simulated temperature and humidity distribution field image;

[0023] S44. If so, then based on the associated ambient temperature and the preset hidden danger temperature range corresponding to the associated impact area, and / or the associated ambient humidity and the preset hidden danger humidity range corresponding to the associated impact area, determine the associated impact value corresponding to the associated impact area;

[0024] S45. Determine the abnormal impact value corresponding to the abnormal warehouse area based on the ambient temperature corresponding to the abnormal warehouse area and the preset standard temperature range, and / or the ambient humidity corresponding to the abnormal warehouse area and the preset standard humidity range;

[0025] S46. Compare the associated impact value and the abnormal impact value to determine whether it is necessary to execute the environmental parameter optimization strategy.

[0026] Preferably, in step S42, the specific content of driving the simulated warehouse model based on the environmental parameter optimization strategy to obtain the simulated temperature and humidity distribution field image is:

[0027] Based on the optimized temperature and / or optimized humidity in the environmental parameter optimization strategy, the working parameters of the simulated control equipment in the simulated warehouse model are adjusted to predict the changes in temperature and humidity in the storage warehouse to be regulated in the future, and a simulated temperature and humidity distribution field image is obtained. The simulated temperature and humidity distribution field image includes simulated display color and simulated display feature density.

[0028] Preferably, in step S43, the associated impact area of ​​the abnormal warehouse area satisfies the following conditions:

[0029] Condition 1: There is edge point information that is connected or intersected with the abnormal warehouse area, that is, it is associated with the abnormal warehouse area;

[0030] Condition 2: The associated ambient temperature corresponding to the associated impact area exceeds the preset hidden danger temperature range, or the associated ambient humidity corresponding to the associated impact area exceeds the preset hidden danger humidity range, or the associated ambient temperature corresponding to the associated impact area exceeds the preset hidden danger temperature range, and the associated ambient humidity corresponding to the associated impact area exceeds the preset hidden danger humidity range.

[0031] Preferably, in step S44, the associated impact value is the impact value on the cigarettes stored in the associated impact area when the associated impact area is in the associated ambient temperature and / or associated ambient humidity state. The content of determining the associated impact value is:

[0032] Determining a comprehensive difference value based on a difference between the associated ambient temperature and a range limit of a preset hidden danger temperature range, and / or a difference between the associated ambient humidity and a range limit of a preset hidden danger humidity range;

[0033] Determine the associated impact value corresponding to the comprehensive difference based on a preset impact value mapping relationship, wherein the preset impact value mapping relationship is a correspondence between the comprehensive difference and the associated impact value;

[0034] In step S45, the abnormal impact value is the impact value on the cigarettes stored in the abnormal warehouse area when the abnormal warehouse area is not subjected to parameter control, that is, when the abnormal warehouse area is under the ambient temperature and / or ambient humidity conditions.

[0035] Preferably, the specific content of step S46 is:

[0036] When the associated impact value is lower than the abnormal impact value, an executable environment parameter optimization strategy is determined;

[0037] When the associated impact value is not lower than the abnormal impact value, it is determined that the environmental parameter optimization strategy cannot be executed, and a manual participation request is generated.

[0038] Preferably, when the associated impact value is not lower than the abnormal impact value, the method further includes:

[0039] Comparing the associated impact value and the abnormal impact value, and determining the impact difference between the associated impact value and the abnormal impact value;

[0040] When the impact difference is lower than the preset difference, the current position of the mobile control device is obtained, and the mobile control route is determined based on the current position of the mobile control device and the abnormal warehouse area;

[0041] Determine the mobile control parameter information based on the ambient temperature corresponding to the abnormal warehouse area and the preset standard temperature range, and / or the ambient humidity corresponding to the abnormal warehouse area and the preset standard humidity range, the mobile control parameter information including the mobile control temperature and / or the mobile control humidity;

[0042] The mobile control instructions are determined based on the mobile control route and mobile control parameter information. The mobile control instructions are used to control the mobile control equipment to perform directional control on the abnormal warehouse area.

[0043] A cigarette storage warehouse environmental control system, based on the aforementioned cigarette storage warehouse environmental control method, comprises: an environmental parameter information acquisition module, a temperature and humidity distribution field image acquisition module, an abnormal warehouse area identification module, an environmental parameter optimization strategy determination module, and an optimization strategy evaluation module;

[0044] Environmental parameter information acquisition module, used to obtain environmental parameter information of the storage warehouse to be regulated, including ambient temperature and ambient humidity;

[0045] A temperature and humidity distribution field image acquisition module is used to determine the temperature and humidity distribution field image of the storage warehouse to be regulated based on environmental parameter information;

[0046] An abnormal warehouse area identification module is used to perform feature recognition on the temperature and humidity distribution field image. When a preset abnormal feature exists in the temperature and humidity distribution field image, an abnormal warehouse area is determined based on the preset abnormal feature. The abnormal warehouse area corresponds to an ambient temperature that exceeds a preset standard temperature range and / or an ambient humidity that exceeds a preset standard humidity range.

[0047] An environmental parameter optimization strategy determination module is configured to obtain cigarette parameter information corresponding to an abnormal warehouse area and determine an environmental parameter optimization strategy based on the cigarette parameter information, preset abnormal characteristics, and a preset standard temperature range and / or a preset standard humidity range. The environmental parameter optimization strategy includes optimizing temperature and / or optimizing humidity. The cigarette parameter information includes stacking height, stacking quantity, and packaging completion time.

[0048] The optimization strategy evaluation module is used to evaluate the feasibility of the environmental parameter optimization strategy and determine whether to execute the environmental parameter optimization strategy.

[0049] Through the above technical solutions, it can be seen that compared with the prior art, the present invention discloses a method and system for controlling the environment of a cigarette storage warehouse, which analyzes the environmental parameter information of the storage warehouse to be controlled and converts the analysis results into a temperature and humidity distribution field image, so as to facilitate intuitive viewing of the temperature and humidity distribution in the storage warehouse to be controlled. By means of feature recognition, it is convenient to timely discover abnormal conditions in the temperature and humidity distribution field image, and by presetting abnormal features, it is convenient to timely and accurately locate the abnormal warehouse area. Finally, based on the cigarette parameter information and the preset standard temperature and humidity range, the environmental parameter optimization strategy is automatically determined. The relevant control equipment can be directly controlled to control the temperature and humidity according to the environmental parameter optimization strategy, without the need for relevant staff to manually check and then manually start or control the corresponding control equipment. This is convenient to reduce the error caused by human subjective analysis and to improve the rate of responding to abnormal conditions, thereby facilitating the improvement of the accuracy of regulating the environmental parameters of the storage warehouse.

[0050] By evaluating whether the regulation will have an impact on other warehouse areas based on the area of ​​the abnormal warehouse area before regulating based on the environmental parameter optimization strategy, instead of directly regulating based on the environmental parameter optimization strategy after determining it, the feasibility of the environmental parameter optimization strategy is evaluated, thereby improving the effectiveness of the optimization results. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0052] Figure 1 A schematic diagram of a cigarette storage warehouse environment control method provided by the present invention;

[0053] Figure 2 A schematic diagram of a feasibility evaluation method for the environmental parameter optimization strategy provided by the present invention;

[0054] Figure 3 This is a schematic diagram of an electronic device provided by the present invention. DETAILED DESCRIPTION

[0055] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0056] Example 1

[0057] The embodiment of the present invention discloses a method for controlling the environment of a cigarette storage warehouse. Figure 1 As shown, the following steps are included:

[0058] S1. Obtain environmental parameter information of the storage warehouse to be regulated, including ambient temperature and humidity, and determine the temperature and humidity distribution field image of the storage warehouse to be regulated based on the environmental parameter information;

[0059] S2. Perform feature recognition on the temperature and humidity distribution field image. When a preset abnormal feature exists in the temperature and humidity distribution field image, determine the abnormal warehouse area based on the preset abnormal feature. The abnormal warehouse area corresponds to an ambient temperature that exceeds a preset standard temperature range, and / or the abnormal warehouse area corresponds to an ambient humidity that exceeds a preset standard humidity range;

[0060] S3. Obtain cigarette parameter information corresponding to the abnormal warehouse area and determine an environmental parameter optimization strategy based on the cigarette parameter information, preset abnormal characteristics, and a preset standard temperature range and / or a preset standard humidity range. The environmental parameter optimization strategy includes optimizing temperature and / or optimizing humidity. The cigarette parameter information includes stacking height, stacking quantity, and packaging completion time.

[0061] S4. Evaluate the feasibility of the environmental parameter optimization strategy to determine whether to execute the environmental parameter optimization strategy.

[0062] In this embodiment, in step S1, the storage warehouse to be regulated is a warehouse that needs to be regulated in temperature and humidity and is used for storing cigarettes. The environmental parameter information is collected by a parameter sensor device arranged in the storage warehouse to be regulated. The parameter sensor includes but is not limited to a temperature sensor and a humidity sensor. The environmental parameter information is used to represent the temperature and humidity conditions in the storage warehouse to be regulated. In order to intuitively view the temperature and humidity distribution of each area in the storage warehouse to be regulated, the environmental parameter information is integrated into a temperature and humidity distribution field image.

[0063] The specific process of generating the temperature and humidity distribution field image is as follows: identifying the environmental temperature and humidity corresponding to each warehouse area from the environmental parameter information. The parameter sensor device is arranged at each position of the storage warehouse to be regulated to improve the comprehensiveness of the parameter collection process. In order to distinguish the parameter information corresponding to different warehouse areas, a region number or code is added to each parameter information. The environmental temperature and humidity corresponding to each warehouse area can be determined by identifying the environmental parameter information.

[0064] The environmental temperature and humidity of each warehouse area are mapped to the corresponding spatial coordinates of the storage warehouse to be regulated to construct a temperature and humidity spatial distribution model of the storage warehouse to be regulated. Then, the temperature and humidity spatial distribution model is converted into a temperature and humidity distribution field image using image processing technology or visualization technology. In actual work, different environmental temperatures can be converted into different display colors. For example, when the temperature is high, the display color can be determined as red. When the temperature is low, the display color can be determined as blue. There is a color conversion correspondence between the environmental temperature and the display color. Based on the color conversion correspondence, the display color corresponding to different environmental temperatures can be determined. Similarly, the environmental humidity can also be converted into different display feature densities. For example, when the humidity is high, the corresponding display feature density is high, i.e., the number of preset display features in a unit area is large. When the humidity is low, the corresponding display feature density is low, i.e., the number of preset display features in a unit area is small. There is a density conversion correspondence between the environmental humidity and the display feature density. Based on the density conversion correspondence, the display feature density corresponding to different environmental humidities can be determined. The color conversion correspondence and the density conversion correspondence can be determined by relevant personnel according to historical experimental data.

[0065] In order to further implement the above technical solution, step S1 further includes obtaining weather parameter information and site ventilation parameter information, generating a flow distribution field image, and superimposing the flow distribution field image into the temperature and humidity distribution field image to optimize the temperature and humidity distribution field image.

[0066] In this embodiment, weather parameter information can be obtained by the weather forecast system, including but not limited to wind direction and wind force, and site ventilation parameter information can be determined by relevant staff based on the actual situation of the storage warehouse to be regulated, including but not limited to the door and window setting positions and opening and closing status; the doors and windows in the storage warehouse to be regulated are the main channels for air exchange inside and outside the warehouse, and the door and window setting positions and opening and closing status can directly determine the circulation path and circulation effect of the outdoor air. In order to intuitively analyze and view the impact of outdoor weather on the temperature and humidity in the storage warehouse to be regulated under the current opening and closing status of doors and windows, the flow distribution field image generated by the outdoor weather in the storage warehouse to be regulated is determined based on the weather parameter information and the site ventilation setting parameter information.

[0067] In order to further implement the above technical solution, the flow distribution field image generation process is specifically as follows:

[0068] Construct a three-dimensional warehouse model of the storage warehouse to be regulated based on the actual size and shape of the storage warehouse to be regulated;

[0069] Annotate the 3D warehouse model based on the site ventilation parameter information to obtain a 3D annotated warehouse model;

[0070] Determine the air flow velocity field according to the preset air flow equation and weather parameter information;

[0071] The preset air flow equation includes but is not limited to the Navier-Stokes equation, and the corresponding air flow velocity field can be determined according to the preset air flow equation;

[0072] The flow distribution field image can be obtained by superimposing the air flow velocity field onto the 3D annotated warehouse model;

[0073] In this embodiment, the optimized temperature and humidity distribution field image is more consistent with the actual temperature and humidity distribution of the storage warehouse to be regulated. Image superposition facilitates eliminating the impact of outdoor weather factors on the temperature and humidity in the storage warehouse to be regulated.

[0074] In this embodiment, in step S2, the preset abnormal feature is a preset abnormal color and / or a preset abnormal display feature density. When the temperature and humidity distribution field image contains the preset abnormal color, it indicates that there is an ambient temperature in the storage warehouse to be regulated that exceeds the preset standard temperature range; when the temperature and humidity distribution field image contains the preset abnormal display feature density, it indicates that there is an ambient humidity in the storage warehouse to be regulated that exceeds the preset standard humidity range; when the temperature and humidity distribution field image contains the preset abnormal color and the preset abnormal display feature density, it indicates that there is an ambient temperature in the storage warehouse to be regulated that exceeds the preset standard temperature range and an ambient humidity that exceeds the preset standard humidity range; the warehouse area where the preset abnormal feature appears is determined as an abnormal warehouse area; the preset standard temperature range and the preset standard humidity range are determined by relevant staff based on historical experimental data.

[0075] In step S3, since cigarette parameter information may affect the distribution of temperature or humidity, after determining the abnormal warehouse area, it is necessary to consider and analyze the cigarette parameter information corresponding to the abnormal warehouse area, and generate an environmental parameter optimization strategy based on the analysis results; for example, the higher the stacking height of cigarettes and the greater the stacking quantity, the easier it is for the formed cigarette pile to accumulate heat and moisture inside. High stacking and large-scale stacking will limit the natural circulation of air in the abnormal warehouse area, thereby weakening the control effect of the control equipment, which can be a fan or air conditioner, etc.; in addition, since heat may be generated during the cigarette packaging process due to mechanical friction, strong sealing of packaging materials, etc., it may further cause the local temperature and humidity of the cigarette pile to rise.

[0076] When the ambient temperature in the storage warehouse to be regulated exceeds the preset standard temperature range, the optimized temperature needs to be determined based on the cigarette parameter information and the preset standard temperature range; when the ambient humidity in the storage warehouse to be regulated exceeds the preset standard humidity range, the optimized humidity needs to be determined based on the cigarette parameter information and the preset standard humidity range; when the ambient temperature in the storage warehouse to be regulated exceeds the preset standard temperature range and the ambient humidity exceeds the preset standard humidity range, the optimized temperature and optimized humidity need to be determined based on the cigarette parameter information, the preset standard temperature range and the preset standard humidity range; the determined environmental parameter optimization strategy is used to control the control equipment in the storage warehouse to be regulated to eliminate the abnormal warehouse areas contained in the storage warehouse to be regulated.

[0077] In order to further implement the above technical solutions, Figure 2 As shown, the specific contents of step 4 include:

[0078] S41. Identify edge point information of abnormal warehouse area from the temperature and humidity distribution field image, and determine the abnormal area of ​​abnormal warehouse area based on the edge point information;

[0079] In this embodiment, the edge point information of the abnormal warehouse area can be identified from the temperature and humidity distribution field image based on the preset edge detection algorithm. Since the abnormal warehouse area is a warehouse area with preset abnormal features in the temperature and humidity distribution field image, the edge point information of the abnormal warehouse area can be determined based on the distribution range of the preset abnormal features. Each position of the abnormal warehouse area in the temperature and humidity distribution field image corresponds to a preset abnormal feature, that is, each position of the abnormal warehouse area in the temperature and humidity distribution field image is presented as a preset abnormal color and a preset display feature density. Based on the preset contour tracking algorithm and edge point information, each edge point is determined and connected to obtain a closed edge contour, and then the number of pixels within the closed edge contour is calculated. Based on the number of pixels within the closed edge contour, the abnormal area of ​​the abnormal warehouse area can be determined; in addition, the area of ​​the abnormal area can be determined by summing the area of ​​the edge point coordinate values.

[0080] S42. When the area of ​​the abnormal region is not less than the preset area, directly execute the environmental parameter optimization strategy; when the area of ​​the abnormal region is less than the preset area, obtain the simulated warehouse model corresponding to the control storage warehouse, and drive the simulated warehouse model based on the environmental parameter optimization strategy to obtain a simulated temperature and humidity distribution field image;

[0081] In actual applications, when the abnormal area is small, it indicates that the number of cigarettes outside the preset standard temperature range and / or the preset standard humidity range is small. If a small number of cigarettes are kept within the preset standard temperature range and / or the preset standard humidity range, cigarettes in other areas may be kept outside the preset standard temperature range and / or the preset standard humidity range. Therefore, when the abnormal area is smaller than the preset area, the environmental parameter optimization strategy is not directly executed, but an evaluation is required first.

[0082] S43. Feature recognition is performed on the simulated temperature and humidity distribution field image to determine whether there is an abnormal correlation impact area in the simulated temperature and humidity distribution field image;

[0083] S44. If so, then based on the associated ambient temperature and the preset hidden danger temperature range corresponding to the associated impact area, and / or the associated ambient humidity and the preset hidden danger humidity range corresponding to the associated impact area, determine the associated impact value corresponding to the associated impact area;

[0084] S45. Determine the abnormal impact value corresponding to the abnormal warehouse area based on the ambient temperature corresponding to the abnormal warehouse area and the preset standard temperature range, and / or the ambient humidity corresponding to the abnormal warehouse area and the preset standard humidity range;

[0085] S46. Compare the associated impact value and the abnormal impact value to determine whether an environmental parameter optimization strategy needs to be executed;

[0086] In this embodiment, step S46 compares the associated impact value and the abnormal impact value, that is, compares the impact after executing the environmental parameter optimization strategy with the impact after not executing the environmental parameter optimization strategy, analyzes the losses that may be faced before and after executing the environmental parameter optimization strategy, and determines whether it needs to be executed, rather than directly regulating based on the environmental parameter optimization strategy after determining the environmental parameter optimization strategy. By evaluating the feasibility of the environmental parameter optimization strategy, it is convenient to improve the effectiveness of the optimization results.

[0087] In order to further implement the above technical solution, in step S42, the specific content of driving the simulated warehouse model based on the environmental parameter optimization strategy to obtain the simulated temperature and humidity distribution field image is as follows:

[0088] Based on the optimized temperature and / or optimized humidity in the environmental parameter optimization strategy, the working parameters of the simulated control equipment in the simulated warehouse model are adjusted to predict the changes in temperature and humidity in the storage warehouse to be regulated in the future, and a simulated temperature and humidity distribution field image is obtained. The simulated temperature and humidity distribution field image includes simulated display color and simulated display feature density.

[0089] In this embodiment, the simulated warehouse model may select a three-dimensional annotated warehouse model in the process of generating the flow distribution field image.

[0090] To further implement the above technical solution, in step S43, the associated impact area of ​​the abnormal warehouse area meets the following conditions:

[0091] Condition 1: There is edge point information that is connected or intersected with the abnormal warehouse area, that is, it is associated with the abnormal warehouse area;

[0092] Condition 2: The associated ambient temperature corresponding to the associated impact area exceeds the preset hidden danger temperature range, or the associated ambient humidity corresponding to the associated impact area exceeds the preset hidden danger humidity range, or the associated ambient temperature corresponding to the associated impact area exceeds the preset hidden danger temperature range, and the associated ambient humidity corresponding to the associated impact area exceeds the preset hidden danger humidity range.

[0093] In this embodiment, the preset standard temperature range includes the preset hidden danger temperature range, and the preset standard humidity range includes the preset hidden danger humidity range. For example, when the ambient temperature exceeds the preset standard temperature range, it indicates that there is an abnormal temperature situation in the corresponding warehouse area. However, when the ambient temperature exceeds the preset hidden danger temperature range, it only indicates that an abnormal temperature situation may occur in the corresponding warehouse area. The specific preset hidden danger temperature range and preset hidden danger humidity range are determined by relevant staff based on historical experimental data.

[0094] In order to further implement the above technical solution, in step S44, the associated impact value is the impact value caused to the cigarettes stored in the associated impact area when the associated impact area is in the associated ambient temperature and / or associated ambient humidity state;

[0095] The greater the difference between the associated ambient temperature and the range limit of the preset hidden danger temperature range, and / or the greater the difference between the associated ambient humidity and the range limit of the preset hidden danger humidity range, the greater the associated impact value corresponding to the associated impact area;

[0096] The content of determining the association impact value is:

[0097] Determining a comprehensive difference value based on a difference between the associated ambient temperature and a range limit of a preset hidden danger temperature range, and / or a difference between the associated ambient humidity and a range limit of a preset hidden danger humidity range;

[0098] Determine the associated impact value corresponding to the comprehensive difference based on the preset impact value mapping relationship, wherein the preset impact value mapping relationship is the correspondence between the comprehensive difference and the associated impact value, and is determined by relevant staff based on historical experimental data;

[0099] In step S45, the abnormal impact value is the impact value on the cigarettes stored in the abnormal warehouse area when the abnormal warehouse area is not subject to parameter control, that is, when the abnormal warehouse area is under the ambient temperature and / or ambient humidity conditions; the method of determining the abnormal impact value in this embodiment is consistent with the method of determining the associated impact value.

[0100] In order to further implement the above technical solution, the specific content of step S46 is:

[0101] When the associated impact value is lower than the abnormal impact value, an executable environment parameter optimization strategy is determined;

[0102] Specifically, if the associated impact value is lower than the abnormal impact value, it indicates that the loss faced after executing the environmental parameter optimization strategy is less than the loss faced after not executing the environmental parameter optimization strategy. For example, after executing the environmental parameter optimization strategy, 5 square meters of cigarettes may become too dry, and the resulting economic loss may be a yuan. Before executing the environmental parameter optimization strategy, 3 square meters of cigarettes may become moldy, and the resulting economic loss may be b yuan. If a yuan is less than b yuan, then the loss faced after executing the environmental parameter optimization strategy is less than the loss faced before executing the environmental parameter optimization strategy. Therefore, the environmental parameter optimization strategy can be executed.

[0103] When the associated impact value is not lower than the abnormal impact value, it is determined that the environmental parameter optimization strategy cannot be executed and a manual intervention request is generated;

[0104] Specifically, the associated impact value is not lower than the abnormal impact value, that is, the loss faced after executing the environmental parameter optimization strategy is not less than the loss faced before executing the environmental parameter optimization strategy. At this time, the environmental parameter optimization strategy is not executed, but a manual participation request needs to be generated to remind relevant staff to promptly discover and manually intervene in abnormal situations in the storage warehouse to be regulated, so as to prevent the abnormal situation from further deteriorating.

[0105] In order to further implement the above technical solution, when the associated impact value is not lower than the abnormal impact value, it also includes:

[0106] Comparing the associated impact value and the abnormal impact value, and determining the impact difference between the associated impact value and the abnormal impact value;

[0107] When the impact difference is lower than the preset difference, the current position of the mobile control device is obtained, and the mobile control route is determined based on the current position of the mobile control device and the abnormal warehouse area;

[0108] Determine the mobile control parameter information based on the ambient temperature corresponding to the abnormal warehouse area and the preset standard temperature range, and / or the ambient humidity corresponding to the abnormal warehouse area and the preset standard humidity range, the mobile control parameter information including the mobile control temperature and / or the mobile control humidity;

[0109] Determine a mobile control instruction based on the mobile control route and mobile control parameter information, and use the mobile control instruction to control the mobile control device to perform directional control on the abnormal warehouse area;

[0110] Specifically, when the associated impact value is not lower than the abnormal impact value, in addition to generating a request for human participation, the associated impact value can also be compared with the abnormal impact value to further evaluate the difference between the losses faced by each before and after executing the environmental parameter optimization strategy. When the impact difference is lower than the preset difference, it indicates that the losses before and after executing the environmental parameter optimization strategy are relatively close. For example, if the environmental parameter optimization strategy is executed, an economic loss of a yuan may be generated. If the environmental parameter optimization strategy is not executed, an economic loss of a+1 yuan may be generated. At this time, in order to improve or reduce the economic losses of cigarettes in the abnormal warehouse area while avoiding or reducing the impact on the status of cigarettes in the associated impact area, a directional control method can be adopted, that is, by driving the mobile control device to perform directional temperature and humidity control on the abnormal warehouse area, instead of driving the central control device in the storage warehouse to be controlled to perform temperature and humidity control, thereby reducing the impact on the status of cigarettes in the associated impact area during the control process;

[0111] In actual applications, when determining the mobile control route, the current position of the mobile control device can be determined according to its breathing signal, and then based on the current position and the abnormal position corresponding to the abnormal warehouse area, the shortest path between the current position and the abnormal warehouse area, that is, the mobile control route, is determined; the mobile control device can control the temperature and humidity of any area; the mobile control parameter information may only include the mobile control temperature, may only include the mobile control humidity, or may include both the mobile control temperature and the mobile control humidity; after the mobile control instruction is determined based on the mobile control route and the mobile control parameter information, the mobile control instruction can be sent to the mobile control device by wireless transmission to control the mobile control device to move to the abnormal warehouse area according to the mobile control instruction, and to perform direction control on the temperature and humidity in the abnormal warehouse area, so that the corresponding ambient temperature of the abnormal warehouse area tends to the preset standard temperature range, and / or the corresponding ambient humidity of the abnormal warehouse area tends to the preset standard humidity range.

[0112] In order to further reduce the impact of the directional control process in step S46 on other warehouse storage areas, the method further includes: determining a control boundary operation value corresponding to the abnormal warehouse area based on edge point information of the abnormal warehouse area; and controlling the mobile control device to perform directional control on the abnormal warehouse area based on the control boundary operation value and the mobile control instruction;

[0113] Specifically, a control range is set for the directional control process based on the edge point information of the abnormal warehouse area. That is, the mobile control device must perform directional control of the abnormal warehouse area within the control range. For example, when the control range formed by the control boundary value corresponding to the abnormal warehouse area is 2 square meters, and the mobile control device is a fan, after the mobile control device moves to the abnormal warehouse area, the air swing dynamic field generated by the left and right swing of the fan must be within the control range, that is, the blowing control must be performed within the 2 square meter range.

[0114] The control boundary value can be the swing amplitude of the mobile control device. For example, when the area corresponding to the abnormal warehouse area is a, and the mobile control device is a fan, it can be determined based on the fan's working parameters and area that the fan can blow air with a left and right swing amplitude of 30 degrees during the directional control of the abnormal warehouse area. That is, when the fan blows air with a left and right swing amplitude of 30 degrees, the air swing dynamic field generated is consistent with the abnormal warehouse area. Different combinations of the edge point information of the abnormal warehouse area and the working parameters of the mobile control device correspond to different control boundary operation values, which can be determined based on a preset operation value mapping relationship. The preset operation value mapping relationship contains control boundary operation values ​​corresponding to different combinations of the edge point information of the abnormal warehouse area and the working parameters of the mobile control device. The preset operation value mapping relationship is determined by relevant staff based on historical experimental data.

[0115] By limiting the operation value of the mobile regulation device when the environmental parameters of the abnormal warehouse area are directionally regulated, the impact on other warehouse storage areas during the directional regulation process is further reduced.

[0116] Embodiment two

[0117] A cigarette storage warehouse environment regulation system based on a cigarette storage warehouse environment regulation method, comprising: an environmental parameter information acquisition module, a temperature and humidity distribution field image acquisition module, an abnormal warehouse area identification module, an environmental parameter optimization strategy determination module, and an optimization strategy evaluation module.

[0118] The environmental parameter information acquisition module is configured to acquire environmental parameter information of a storage warehouse to be regulated, wherein the environmental parameter information includes environmental temperature and environmental humidity.

[0119] The temperature and humidity distribution field image acquisition module is configured to determine a temperature and humidity distribution field image of the storage warehouse to be regulated based on the environmental parameter information.

[0120] The abnormal warehouse area identification module is configured to perform feature recognition on the temperature and humidity distribution field image, determine an abnormal warehouse area based on a preset abnormal feature when the temperature and humidity distribution field image includes the preset abnormal feature, and determine that the abnormal warehouse area corresponds to an environmental temperature that is outside a preset standard temperature range and / or an environmental humidity that is outside a preset standard humidity range.

[0121] The environmental parameter optimization strategy determination module is configured to acquire cigarette parameter information corresponding to the abnormal warehouse area, and determine an environmental parameter optimization strategy based on the cigarette parameter information, the preset abnormal feature, and the preset standard temperature range and / or the preset standard humidity range, wherein the environmental parameter optimization strategy includes an optimized temperature and / or an optimized humidity, and the cigarette parameter information includes a stacking height, a stacking quantity, and a package end time.

[0122] The optimization strategy evaluation module is configured to evaluate the feasibility of the environmental parameter optimization strategy and determine whether to execute the environmental parameter optimization strategy.

[0123] Embodiment three

[0124] The embodiment provides an electronic device, such as Figure 3 As shown in the figure, Figure 3 The electronic device 300 shown in the figure includes a processor 301 and a memory 303; wherein the processor 301 and the memory 303 are connected, such as through a bus 302.

[0125] Optionally, the electronic device 300 can also include a transceiver 304, which is not limited to one in actual application, and the structure of the electronic device 300 does not constitute a limitation on the embodiments of the present application.

[0126] The processor 301 can be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic device, transistor logic device, hardware component, or any combination thereof. It can implement or execute various exemplary logical blocks, modules and circuits described in connection with the disclosure. The processor 301 can also be a combination of computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0127] The bus 302 can include a path for transmitting information between the above-mentioned components. The bus 302 can be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The bus 302 can be divided into an address bus, a data bus, a control bus, etc. For convenience of representation, Figure 3 Only one line is used in the middle, but it does not mean that there is only one bus or one type of bus.

[0128] The memory 303 can be a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory) or other type of dynamic storage device that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, an optical disk storage (including a compact disk, a laser disk, an optical disk, a digital versatile disk, a Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and capable of being accessed by a computer, but not limited thereto.

[0129] The memory 303 is used to store application code for executing the solution of the present application, and the execution is controlled by the processor 301. The processor 301 is used to execute the application code stored in the memory 303 to implement the content shown in the above method embodiment.

[0130] The electronic devices include, but are not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), and in-vehicle terminals (e.g., in-vehicle navigation terminals), as well as fixed terminals such as digital TVs and desktop computers. Servers and the like are also possible. Figure 3 The electronic device shown is merely an example and should not limit the functions and scope of use of the embodiments of the present application.

[0131] Example 4

[0132] This embodiment provides a computer-readable storage medium having a computer program stored thereon. When the computer-readable storage medium is run on a computer, the computer is enabled to execute a method for controlling the environment of a cigarette storage warehouse.

[0133] Example 5

[0134] This embodiment provides a computer program product, which includes a computer program. When the computer program is executed by a processor, a method for controlling the environment of a cigarette storage warehouse is implemented.

[0135] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. Reference can be made to the common and similar parts between the various embodiments. For the devices disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple, and the relevant parts can be referred to the method description.

[0136] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be readily apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention is not limited to the embodiments shown herein but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for controlling the environment of a cigarette storage warehouse, characterized in that: The following steps are involved: S1. Obtain environmental parameter information of the storage warehouse to be regulated, including ambient temperature and humidity, and determine the temperature and humidity distribution field image of the storage warehouse to be regulated based on the environmental parameter information; S2. Perform feature recognition on the temperature and humidity distribution field image. When a preset abnormal feature exists in the temperature and humidity distribution field image, determine the abnormal warehouse area based on the preset abnormal feature. The abnormal warehouse area corresponds to an ambient temperature that exceeds a preset standard temperature range, and / or the abnormal warehouse area corresponds to an ambient humidity that exceeds a preset standard humidity range; S3. Obtain cigarette parameter information corresponding to the abnormal warehouse area and determine an environmental parameter optimization strategy based on the cigarette parameter information, preset abnormal characteristics, and a preset standard temperature range and / or a preset standard humidity range. The environmental parameter optimization strategy includes optimizing temperature and / or optimizing humidity. The cigarette parameter information includes stacking height, stacking quantity, and packaging completion time. S4. Evaluate the feasibility of the environmental parameter optimization strategy and determine whether to implement the environmental parameter optimization strategy.

2. A cigarette storage warehouse environment control method according to claim 1, characterized in that: Step S1 also includes obtaining weather parameter information and site ventilation parameter information, generating a flow distribution field image, and superimposing the flow distribution field image on the temperature and humidity distribution field image to optimize the temperature and humidity distribution field image.

3. A cigarette storage warehouse environment control method according to claim 2, characterized in that: The specific process of generating the flow distribution field image is as follows: Construct a three-dimensional warehouse model of the storage warehouse to be regulated based on the actual size and shape of the storage warehouse to be regulated; Annotate the 3D warehouse model based on the site ventilation parameter information to obtain a 3D annotated warehouse model; Determine the air flow velocity field according to the preset air flow equation and weather parameter information; By superimposing the air flow velocity field onto the 3D annotated warehouse model, an image of the flow distribution field can be obtained.

4. A cigarette storage warehouse environment control method according to claim 1, characterized in that: The specific contents of step S4 include: S41. Identify edge point information of abnormal warehouse area from the temperature and humidity distribution field image, and determine the abnormal area of ​​abnormal warehouse area based on the edge point information; S42. When the area of ​​the abnormal region is not less than the preset area, directly execute the environmental parameter optimization strategy; when the area of ​​the abnormal region is less than the preset area, obtain the simulated warehouse model corresponding to the control storage warehouse, and drive the simulated warehouse model based on the environmental parameter optimization strategy to obtain a simulated temperature and humidity distribution field image; S43. Feature recognition is performed on the simulated temperature and humidity distribution field image to determine whether there is an abnormal correlation impact area in the simulated temperature and humidity distribution field image; S44. If so, then based on the associated ambient temperature and the preset hidden danger temperature range corresponding to the associated impact area, and / or the associated ambient humidity and the preset hidden danger humidity range corresponding to the associated impact area, determine the associated impact value corresponding to the associated impact area; S45. Determine the abnormal impact value corresponding to the abnormal warehouse area based on the ambient temperature corresponding to the abnormal warehouse area and the preset standard temperature range, and / or the ambient humidity corresponding to the abnormal warehouse area and the preset standard humidity range; S46. Compare the associated impact value and the abnormal impact value to determine whether it is necessary to execute the environmental parameter optimization strategy.

5. A cigarette storage warehouse environment control method according to claim 4, characterized in that: In step S42, the specific content of obtaining the simulated temperature and humidity distribution field image by driving the simulated warehouse model based on the environmental parameter optimization strategy is: Based on the optimized temperature and / or optimized humidity in the environmental parameter optimization strategy, the working parameters of the simulated control equipment in the simulated warehouse model are adjusted to predict the changes in temperature and humidity in the storage warehouse to be regulated in the future, and a simulated temperature and humidity distribution field image is obtained. The simulated temperature and humidity distribution field image includes simulated display color and simulated display feature density.

6. A cigarette storage warehouse environment control method according to claim 4, characterized in that: In step S43, the associated impact areas of the abnormal warehouse area meet the following conditions: Condition 1: There is edge point information that is connected or intersected with the abnormal warehouse area, that is, it is associated with the abnormal warehouse area; Condition 2: The associated ambient temperature corresponding to the associated impact area exceeds the preset hidden danger temperature range, or the associated ambient humidity corresponding to the associated impact area exceeds the preset hidden danger humidity range, or the associated ambient temperature corresponding to the associated impact area exceeds the preset hidden danger temperature range, and the associated ambient humidity corresponding to the associated impact area exceeds the preset hidden danger humidity range.

7. A cigarette storage warehouse environment control method according to claim 4, characterized in that: In step S44, the associated impact value is the impact value on the cigarettes stored in the associated impact area when the associated impact area is in the associated ambient temperature and / or associated ambient humidity state. The content of determining the associated impact value is: Determining a comprehensive difference value based on a difference between the associated ambient temperature and a range limit of a preset hidden danger temperature range, and / or a difference between the associated ambient humidity and a range limit of a preset hidden danger humidity range; Determine the associated impact value corresponding to the comprehensive difference based on a preset impact value mapping relationship, wherein the preset impact value mapping relationship is a correspondence between the comprehensive difference and the associated impact value; In step S45, the abnormal impact value is the impact value on the cigarettes stored in the abnormal warehouse area when the abnormal warehouse area is not subjected to parameter control, that is, when the abnormal warehouse area is under the ambient temperature and / or ambient humidity conditions.

8. A cigarette storage warehouse environment control method according to claim 4, characterized in that: The specific content of step S46 is: When the associated impact value is lower than the abnormal impact value, an executable environment parameter optimization strategy is determined; When the associated impact value is not lower than the abnormal impact value, it is determined that the environmental parameter optimization strategy cannot be executed, and a manual participation request is generated.

9. A cigarette storage warehouse environment control method according to claim 8, characterized in that: When the associated impact value is not lower than the abnormal impact value, it also includes: Comparing the associated impact value and the abnormal impact value, and determining the impact difference between the associated impact value and the abnormal impact value; When the impact difference is lower than the preset difference, the current position of the mobile control device is obtained, and the mobile control route is determined based on the current position of the mobile control device and the abnormal warehouse area; Determine the mobile control parameter information based on the ambient temperature corresponding to the abnormal warehouse area and the preset standard temperature range, and / or the ambient humidity corresponding to the abnormal warehouse area and the preset standard humidity range, the mobile control parameter information including the mobile control temperature and / or the mobile control humidity; The mobile control instructions are determined based on the mobile control route and mobile control parameter information. The mobile control instructions are used to control the mobile control equipment to perform directional control on the abnormal warehouse area.

10. A cigarette storage warehouse environment control system, characterized in that: A cigarette storage warehouse environmental control method according to any one of claims 1 to 9, comprising: an environmental parameter information acquisition module, a temperature and humidity distribution field image acquisition module, an abnormal warehouse area identification module, an environmental parameter optimization strategy determination module, and an optimization strategy evaluation module; Environmental parameter information acquisition module, used to obtain environmental parameter information of the storage warehouse to be regulated, including ambient temperature and ambient humidity; A temperature and humidity distribution field image acquisition module is used to determine the temperature and humidity distribution field image of the storage warehouse to be regulated based on environmental parameter information; An abnormal warehouse area identification module is used to perform feature recognition on the temperature and humidity distribution field image. When a preset abnormal feature exists in the temperature and humidity distribution field image, an abnormal warehouse area is determined based on the preset abnormal feature. The abnormal warehouse area corresponds to an ambient temperature that exceeds a preset standard temperature range and / or an ambient humidity that exceeds a preset standard humidity range. An environmental parameter optimization strategy determination module is configured to obtain cigarette parameter information corresponding to an abnormal warehouse area and determine an environmental parameter optimization strategy based on the cigarette parameter information, preset abnormal characteristics, and a preset standard temperature range and / or a preset standard humidity range. The environmental parameter optimization strategy includes optimizing temperature and / or optimizing humidity. The cigarette parameter information includes stacking height, stacking quantity, and packaging completion time. The optimization strategy evaluation module is used to evaluate the feasibility of the environmental parameter optimization strategy and determine whether to execute the environmental parameter optimization strategy.

Images