Environmental control method and device for storage system

Abstract

The present application relates to an environmental control method and device for a storage system, the method comprising: obtaining environmental parameters of each monitoring point; judging whether there is an abnormal point based on the environmental parameters; when there is an abnormal point, controlling the control device corresponding to the abnormal point to start working; determining the quasi-stable value of the abnormal point based on the environmental parameters of the monitoring points around the abnormal point; when the quasi-stable value reaches a preset normal range, controlling the corresponding control device to stop working. The solution of the present application monitors multiple points in the storage system, and the number of monitoring points and the position of each monitoring point can be flexibly set according to the actual application situation to accommodate storage objects with different placement densities and placement methods; when an abnormality is detected at a certain point, the environment of the area where the point is located is controlled in a targeted manner, thereby being able to accurately control the environmental factors of multiple points in the storage system, reduce the power consumption of the preservation system, and increase the preservation time of fruits and vegetables.

Description

Technical Field

[0001] The present application relates to the technical field of fruit and vegetable preservation, and in particular to an environmental control method and device for a storage system. Background Art

[0002] Fruits and vegetables contain a variety of nutrients essential for maintaining normal human physiological activities, and therefore people need to consume a certain amount of them in their daily lives. However, these nutrients are only found in high concentrations in fresh fruits and vegetables and are easily absorbed by the body. Harvested fruits and vegetables continue to metabolize, but without roots that replenish water and nutrients, long-term storage can lead to shrinkage, discoloration, softening, weight loss, and a reduction in vitamin C. Ultimately, the freshness of fruits and vegetables decreases, and they may even rot. Nutrients beneficial to the human body are converted and decomposed, leading to loss, and some nutrients are transformed into toxic and harmful substances. Therefore, preservation measures are essential to maintain the nutritional content of fruits and vegetables.

[0003] In the prior art, harvested fruits and vegetables are typically stored in cold storage to preserve freshness and reduce nutrient loss. However, existing fruit and vegetable storage systems cannot precisely control the temperature, humidity, and gas concentration in each area, which not only affects the shelf life of fruits and vegetables but also easily leads to excessive energy consumption in the preservation system. Summary of the Invention

[0004] In order to at least to some extent overcome the problem in the related art that the storage system cannot accurately control the environmental parameters of each area, resulting in poor fruit and vegetable preservation effect and high energy consumption, the present application provides an environmental control method and device for a storage system.

[0005] According to a first aspect of an embodiment of the present application, there is provided an environmental control method for a storage system, comprising:

[0006] Obtaining environmental parameters of each monitoring point; wherein the monitoring points are points distributed in different areas of the storage system, and the environmental parameters are obtained by detecting sensors set at the monitoring points;

[0007] Determine whether there is an abnormal point based on the environmental parameters;

[0008] When there is an abnormal point, the control equipment corresponding to the abnormal point is controlled to start working;

[0009] Determine the quasi-stable value of the abnormal point based on the environmental parameters of the monitoring points around the abnormal point;

[0010] When the quasi-stable value reaches the preset normal range, the corresponding control device is controlled to stop working.

[0011] Furthermore, the determining whether there is an abnormal point based on the environmental parameters includes the following steps:

[0012] Determine whether the environmental parameters of each monitoring point exceed the preset normal range;

[0013] If the environmental parameters of a monitoring point exceed the normal range, the monitoring point is considered an abnormal point.

[0014] Furthermore, starting the control equipment corresponding to the abnormal point includes the following steps:

[0015] Calculate the difference between the environmental parameters at the abnormal point and the normal range, and determine the power size based on the calculated difference;

[0016] The control equipment corresponding to the abnormal point operates according to the determined power.

[0017] Furthermore, the environmental parameters include temperature, humidity and / or carbon dioxide concentration; and the control device includes a fan.

[0018] Furthermore, the environmental parameter includes ethylene concentration; and the control device includes an ozone generator.

[0019] Furthermore, determining the quasi-stable value of the abnormal point based on the environmental parameters of the monitoring points around the abnormal point includes the following steps:

[0020] Filter out other monitoring points within a certain distance of the abnormal point as related points;

[0021] Calculate the quasi-stable value of each associated point;

[0022] According to the quasi-stable value of the associated point, the quasi-stable value of the abnormal point is calculated.

[0023] Furthermore, the quasi-stable value of each associated point is calculated, including the following steps:

[0024] For any associated point, the quasi-stable value of the associated point is calculated based on the measured value of the associated point and the rate of change of the measured value.

[0025] Furthermore, based on the measurement value of the associated point and the rate of change of the measurement value, calculating the quasi-stable value of the associated point includes the following steps:

[0026]

[0027] in, is the quasi-stable value of the associated point, is the measured value of the associated point, k is the preset relationship coefficient, is the distance between the associated point and the abnormal point, v is the rate of change of the measured value, C is the preset constant, and X is the constant corresponding to the fan gear position.

[0028] Furthermore, determining the quasi-stable value of the abnormal point according to the quasi-stable value of the associated point includes the following steps:

[0029] According to the distribution of quasi-stable values ​​of the associated points, outliers are eliminated;

[0030] The retained quasi-stable values ​​are weighted according to preset weights to obtain quasi-stable values.

[0031] Furthermore, the retained quasi-stable values ​​are weighted according to preset weights, including the following steps:

[0032]

[0033] in, is the quasi-stable value of the abnormal point, is the quasi-stable value of each associated point, is the weight value corresponding to each associated point.

[0034] Furthermore, if the environmental parameter includes ethylene concentration, the method further comprises:

[0035] When the growth rate of ethylene concentration at a certain monitoring point shows a step change and the duration reaches the preset period, the preset alarm action is executed.

[0036] Furthermore, the steps for determining whether the ethylene concentration growth rate has a step change are as follows:

[0037] If the measured growth rate of ethylene concentration in the current minute reaches ten times the rate half an hour ago, the growth rate of ethylene concentration shows a step change.

[0038] According to a second aspect of an embodiment of the present application, there is provided an environmental control device for a storage system, comprising:

[0039] An acquisition module is used to acquire environmental parameters of each monitoring point; wherein the monitoring points are points distributed in different areas of the storage system, and the environmental parameters are obtained by detecting sensors installed at the monitoring points;

[0040] A judgment module, configured to judge whether there is an abnormal point based on the environmental parameters;

[0041] The startup module is used to control the start-up of the control equipment corresponding to the abnormal point when there is an abnormal point;

[0042] A calculation module, used to determine a quasi-stable value of the abnormal point based on environmental parameters of monitoring points around the abnormal point;

[0043] The stop module is used to control the corresponding control device to stop working when the quasi-stable value reaches a preset normal range.

[0044] According to a third aspect of an embodiment of the present application, a warehousing system is provided, wherein a plurality of monitoring points are respectively provided in different areas of the warehousing system, and sensors are provided at the monitoring points for monitoring environmental parameters;

[0045] The storage system is also equipped with control equipment corresponding to each monitoring point;

[0046] The storage system also includes a control device for implementing the operating steps of the method described in any one of the above embodiments.

[0047] The technical solutions provided by the embodiments of this application have the following beneficial effects:

[0048] The solution of the present application monitors multiple points in the storage system. The number of monitoring points and the location of each monitoring point can be flexibly set according to actual application conditions to adapt to storage objects with different placement densities and placement methods. When an abnormality is detected at a certain point, the environment of the area where the point is located is adjusted in a targeted manner, thereby accurately controlling the environmental factors of multiple points in the storage system, reducing the power consumption of the preservation system, and making the storage environment in the warehouse more in line with the ideal effect, thereby increasing the preservation time of fruits and vegetables.

[0049] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0051] Figure 1 The figure is a flow chart of an environment control method for a storage system according to an exemplary embodiment.

[0052] Figure 2 The figure is an execution logic diagram of an environment control method for a storage system according to an exemplary embodiment.

[0053] Figure 3 The figure is a schematic diagram showing a method for calculating a quasi-stability value of an associated point according to an exemplary embodiment.

[0054] Figure 4 The figure is a schematic diagram showing a method for calculating an abnormal point level stability value according to an exemplary embodiment.

[0055] Figure 5 The figure is a block diagram of an environment control device for a storage system according to an exemplary embodiment. DETAILED DESCRIPTION

[0056] Exemplary embodiments will be described in detail herein, with examples illustrated in the accompanying drawings. In the following description, when referring to the drawings, identical numerals in different figures represent identical or similar elements, unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all embodiments consistent with the present application. Rather, they are merely examples of methods and apparatus consistent with certain aspects of the present application, as detailed in the appended claims.

[0057] Figure 1 This is a flow chart showing a method for controlling an environment of a storage system according to an exemplary embodiment. The method may include the following steps:

[0058] Step S1, obtaining environmental parameters of each monitoring point; wherein the monitoring points are points distributed in different areas of the storage system, and the environmental parameters are obtained by detecting sensors installed at the monitoring points;

[0059] Step S2: determining whether there is an abnormal point based on the environmental parameters;

[0060] Step S3: When there is an abnormal point, control the control equipment corresponding to the abnormal point to start working;

[0061] Step S4: determining a quasi-stable value of the abnormal point based on environmental parameters of monitoring points surrounding the abnormal point;

[0062] Step S5: When the quasi-stable value reaches a preset normal range, the corresponding control device is controlled to stop working.

[0063] The solution of the present application monitors multiple points in the storage system. The number of monitoring points and the location of each monitoring point can be flexibly set according to actual application conditions to adapt to storage objects with different placement densities and placement methods. When an abnormality is detected at a certain point, the environment of the area where the point is located is adjusted in a targeted manner, thereby accurately controlling the environmental factors of multiple points in the storage system, reducing the power consumption of the preservation system, and making the storage environment in the warehouse more in line with the ideal effect, thereby increasing the preservation time of fruits and vegetables.

[0064] It should be understood that although Figure 1The steps in the flowchart are shown in sequence as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. In addition, Figure 1 At least part of the steps may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least part of the sub-steps or stages of other steps.

[0065] In order to make the objectives, technical solutions and advantages of the present invention more clear, embodiments of the present invention are described in further detail below with reference to the accompanying drawings.

[0066] The environmental parameters of each area of ​​the cold storage are accurately measured through the multi-point integrated multi-environmental element sensor module. Multiple detection points are set in the cold storage, that is, the locations where sensors are placed. The number and location of the points are set as needed, and are generally placed near the goods. A sensor module is arranged at each point, which can detect multiple parameters such as temperature, humidity, and ethylene. The solution of this application can accurately control environmental factors such as temperature, humidity, and gas concentration at multiple points in the storage system, reduce the power consumption of the preservation system, and make the storage environment in the warehouse more in line with the ideal effect, thereby increasing the shelf life of fruits and vegetables.

[0067] In actual applications, the number of monitoring points and the location of each monitoring point can be flexibly set according to the actual application situation. For example, some fruits and vegetables are not easy to preserve and are prone to spoilage. In the warehouse where these fruits and vegetables are stored, more monitoring points can be set up. The monitoring points are more densely distributed, which facilitates more precise control of the warehouse environment. If the fruits and vegetables are easy to preserve and not sensitive to the environment, the monitoring points can be set up more sparsely to save costs. Alternatively, according to the placement and layout of the warehouse, more monitoring points can be set up in locations where more fruits and vegetables are placed, and monitoring points can be omitted in open spaces such as aisles to accommodate storage items with different placement densities and placement methods.

[0068] In some embodiments, the environmental parameters include temperature, humidity and / or carbon dioxide concentration; accordingly, the control device includes a fan. The environmental parameters include ethylene concentration; accordingly, the control device includes an ozone generator. A plurality of fans and ozone generators are also provided in the cold storage, and the blowing angles of the fans correspond one-to-one to the detection points. When the fan regulates the temperature and humidity, the quasi-stable value of the area within a period of time after the fan stops can be calculated through the multi-point data nearby, so as to realize long-term control of the fresh-keeping environment. The purpose of reducing power consumption and extending the fresh-keeping time is achieved. Among them, the definition of quasi-stable value is: the ambient temperature and humidity values ​​that are not easy to change in an area for a long period of time.

[0069] like Figure 2 As shown, the present invention provides a system and method for preserving fresh fruit and vegetable storage. The method includes: measuring the temperature and humidity in the storage, and using the inherent voltage signal of an ethylene electrochemical sensor as a basis, comprehensively considering the impact of temperature and humidity changes to achieve adaptive calibration of ethylene monitoring. When a value or multiple values ​​at multiple monitored points exceed a specified range, the abnormal value point is located; the air cooler corresponding to the abnormal point is controlled to perform cooling and dehumidification, and an ozone generator is synchronously operated to generate ozone that enters the fan duct and oxidizes to reduce the ethylene content. Each point corresponds to each group control unit and the fan angle.

[0070] In some embodiments, step S2 determines whether there is an abnormal point based on the environmental parameters, including the following steps: determining whether the environmental parameters of each monitoring point exceed a preset normal range; if the environmental parameters of a monitoring point exceed the normal range, the monitoring point is an abnormal point.

[0071] The data collected by the sensors can be collected through the ZigBee module. These ZigBee nodes communicate with each other to form a communication network, which can extend the communication distance and send environmental parameters and corresponding locations to an external data receiver. The data receiver will filter out abnormal environmental parameters and corresponding location codes.

[0072] In other embodiments, the ZigBee module may be replaced by a Bluetooth module. Bluetooth has wider applications and lower costs, but has a slower information transmission speed.

[0073] Based on the difference between the outlier and the ideal parameter, the corresponding air cooler and ozone generator are controlled to adjust the environmental parameters near the point. For example, if the ideal temperature is set at 5°C, a location with a temperature of 7°C is an outlier and requires adjustment.

[0074] In some embodiments, step S3 controls the control equipment corresponding to the abnormal point to start working, including the following steps: calculating the difference between the environmental parameters of the abnormal point and the normal range, and determining the power size according to the calculated difference; controlling the control equipment corresponding to the abnormal point to work with the determined power.

[0075] In addition, the greater the difference, the greater the power of the fan and ozone generator. For example, if the ambient temperature is 6°C and the set ideal temperature is adjusted from 5°C to 3°C, the power of the fan and ozone generator will need to be increased.

[0076] When the fan is started, the parameter value measured at the corresponding point is unstable and will change rapidly after the fan is turned off. Therefore, it is necessary to collect the measurement values ​​of points near the point and calculate the quasi-stable value respectively. .

[0077] In some embodiments, step S4 determines the quasi-stable value of the abnormal point based on the environmental parameters of the monitoring points around the abnormal point, including the following steps: step S401, screening out other monitoring points within a certain distance of the abnormal point as associated points; step S402, calculating the quasi-stable value of each associated point; step S403, calculating the quasi-stable value of the abnormal point based on the quasi-stable values ​​of the associated points.

[0078] The step S402 of calculating the quasi-stable value of each associated point includes the following steps: for any associated point, based on the measurement value of the associated point and the rate of change of the measurement value, calculating the quasi-stable value of the associated point. Figure 3 For example, A is an abnormal point and B1 to B7 are normal points. If we want to calculate the quasi-stable value of point B1, we only need to use the measured value of B1 itself and the distance d1 between A and B1.

[0079] like Figure 3 As shown, we want to calculate the quasi-stable value at point A (A is the abnormal point) Consider the distance d from nearby points (those within a certain range, such as points B1 to B7 in the diagram) to point A, as well as the measured value B and rate of change v (°C / min) at the nearby points themselves. The impact of fan operation on air velocity (constant C + fan gear X) also needs to be considered. Constant C is determined based on fan performance. For example, if the first gear is 7, the second gear is 8, and the third gear is 9, constant C is 6.

[0080] Measured value B and quasi-stable value The difference is: .in, The size of is positively correlated with the distance d and the rate of change v, and negatively correlated with the air flow velocity (C+X). Calculate the quasi-stable value of each point Just need to use Point your own measurement data, where i is the point number.

[0081] According to the above analysis, the calculation formula of the quasi-stable value B' can be obtained:

[0082]

[0083] in, is the quasi-stable value of the associated point, is the measurement value of the associated point, is the distance between the associated point and the abnormal point, v is the rate of change of the measured value, C is a preset constant, and X is the constant corresponding to the fan gear position. k is the relationship coefficient, which can be determined through experiments.

[0084] It's important to note that there are other parameters that can be used to calculate quasi-stable values. For example, humidity and ethylene concentration both have corresponding quasi-stable values. The calculation method for these quasi-stable values ​​is similar, replacing the rate of change v and the correlation coefficient k with the values ​​corresponding to humidity / ethylene.

[0085] In some embodiments, step S403 determines the quasi-stable value of the abnormal point based on the quasi-stable value of the associated point, including the following steps: eliminating the abnormal values ​​according to the distribution of the quasi-stable values ​​of the associated point; and performing weighted calculation on the retained quasi-stable values ​​according to preset weights to obtain the quasi-stable value.

[0086] Reference Figure 4 After obtaining the quasi-stable value calculated at each point, the abnormal value calculated due to the obstacle is eliminated. After that, the remaining reasonable results are calculated by weight to obtain the final reliable result. The first two values ​​of each point in the figure represent the coordinates, and the third value represents the current measurement value of the environmental parameter; for example, in the figure A (33, 28, 104), the coordinates of point A are (33, 28), and the current measurement value of the environmental parameter at point A is 104; the coordinates are used to calculate the distance between each point, and the current measurement value is used to calculate the quasi-stable value. Among them, the operation of eliminating outliers is: the quasi-stable value calculated for each point (i is the point number) will be distributed within a certain range, and values ​​that deviate from this range will be considered outliers and removed.

[0087] For example, first calculate the quasi-stable values ​​B1', B2', B3', B4', and eliminate the values ​​that are related to B i 'B3 with larger difference', then the remaining B i 'Perform weight calculation to obtain the final quasi-stable value A':

[0088]

[0089] Specifically, the weight β can be set based on the test results. For example, in practical applications, when the distances are 50, 60, and 80 cm, the weight of 50 cm is 50%, the weight of 60 cm is 35%, and the weight of 80 cm is 15%.

[0090] Using this stable value as a standard, it is judged whether the environment at that location has reached the ideal storage conditions under control, which is effective in reducing the frequent start-up of the fan and ensuring the long-term preservation of stored fruits and vegetables.

[0091] In some embodiments, if the environmental parameter includes ethylene concentration, the method further includes: executing a preset alarm action when the growth rate of ethylene concentration at a certain monitoring point undergoes a step change and the duration reaches a preset period.

[0092] The solution of this application can also determine the maturity of stored fruits and vegetables by analyzing the natural growth rate of ethylene concentration at various locations. When a specific location experiences a step-like change in ethylene concentration growth that persists for a period of time, the control center marks the location, alerts the user via a remote communicator, and flashes a light indicator at that location the next time the door is opened. This helps users promptly identify and address fruits and vegetables unsuitable for storage, preventing loss while also reducing the energy consumption of the preservation system.

[0093] In practice, a step change is defined as an increase in the growth rate by an order of magnitude. For example, if the measured ethylene concentration growth rate within the current minute is ten or twenty times greater than the rate half an hour ago, a step change can be considered. The duration can be set based on actual usage; for example, a duration of ten minutes or more indicates that the fruits and vegetables at that location are ripe.

[0094] In other embodiments, the light indicator when the garage door is opened can be replaced with other prompting means such as a buzzer.

[0095] Figure 5 FIG. 1 is a block diagram of an environmental control device for a storage system according to an exemplary embodiment. Figure 5 The device includes: an acquisition module 501, a judgment module 502, a start module 503, a calculation module 504 and a stop module 505.

[0096] The acquisition module 501 is used to acquire environmental parameters of each monitoring point; wherein, the monitoring points are points distributed in different areas of the storage system, and the environmental parameters are obtained by detecting sensors set at the monitoring points.

[0097] The determination module 502 is used to determine whether an abnormal point exists based on the environmental parameters. The activation module 503 is used to control the control device corresponding to the abnormal point to start operation when an abnormal point exists. The calculation module 504 is used to determine the quasi-stable value of the abnormal point based on the environmental parameters of the monitoring points surrounding the abnormal point. The stop module 505 is used to control the corresponding control device to stop operation when the quasi-stable value reaches a preset normal range.

[0098] Regarding the apparatus in the above-mentioned embodiment, the specific steps for executing the operations of each module have been described in detail in the embodiment of the method and will not be elaborated on here. The various modules in the above-mentioned environmental control device can be implemented in whole or in part through software, hardware, or a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software so that the processor can call and execute the corresponding operations of the above-mentioned modules.

[0099] In one embodiment, a warehousing system is provided, in which a plurality of monitoring points are respectively provided in different areas of the warehousing system, and sensors are provided at the monitoring points for monitoring environmental parameters; the warehousing system is also provided with control equipment corresponding to each monitoring point; the warehousing system also includes a control device for implementing the environmental control method described in any one of the above embodiments: obtaining the environmental parameters of each monitoring point; wherein the monitoring points are points distributed in different areas of the warehousing system, and the environmental parameters are obtained by detection by sensors provided at the monitoring points; judging whether there are abnormal points based on the environmental parameters; when there are abnormal points, controlling the control equipment corresponding to the abnormal points to start working; determining the quasi-stable value of the abnormal point based on the environmental parameters of the monitoring points around the abnormal point; when the quasi-stable value reaches a preset normal range, controlling the corresponding control equipment to stop working.

[0100] It can be understood that the same or similar parts of the above embodiments can be referenced to each other, and the contents not described in detail in some embodiments can refer to the same or similar contents in other embodiments.

[0101] It should be noted that, in the description of this application, the terms "first", "second", etc. are used for descriptive purposes only and should not be understood as indicating or implying relative importance. In addition, in the description of this application, unless otherwise specified, the meaning of "plurality" refers to at least two.

[0102] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code comprising one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may be performed out of the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present application belong.

[0103] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used: a discrete logic circuit having logic gate circuits for implementing logic functions on data signals, an application-specific integrated circuit having suitable combinational logic gate circuits, a programmable gate array (PGA), a field-programmable gate array (FPGA), etc.

[0104] Those skilled in the art will understand that all or part of the steps in the method of the above embodiment can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiment.

[0105] In addition, the functional units in the various embodiments of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into a module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0106] The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc.

[0107] Throughout this specification, reference to terms such as "one embodiment," "some embodiments," "examples," "specific examples," or "some examples" means that a specific feature, structure, material, or characteristic described in conjunction with that embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0108] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A method for controlling the environment of a storage system, characterized in that: The steps include: Obtaining environmental parameters of each monitoring point; wherein the monitoring points are points distributed in different areas of the storage system, and the environmental parameters are obtained by detecting sensors set at the monitoring points; Determine whether there is an abnormal point based on the environmental parameters; When there is an abnormal point, the control equipment corresponding to the abnormal point is controlled to start working; Determine the quasi-stable value of the abnormal point based on the environmental parameters of the monitoring points around the abnormal point; When the quasi-stable value reaches the preset normal range, the corresponding control device is controlled to stop working; Determining the quasi-stable value of the abnormal point based on the environmental parameters of the monitoring points around the abnormal point includes the following steps: Filter out other monitoring points within a certain distance of the abnormal point as related points; Calculate the quasi-stable value of each associated point; Calculate the quasi-stable value of the abnormal point based on the quasi-stable value of the associated point; Calculating the quasi-stable value of each associated point includes the following steps: For any associated point, based on the measured value of the associated point and the rate of change of the measured value, the quasi-stable value of the associated point is calculated; Calculating a quasi-stable value of the associated point based on the measured value of the associated point and the rate of change of the measured value includes the following steps: in, is the quasi-stable value of the associated point, is the measured value of the associated point, k is the preset relationship coefficient, is the distance between the associated point and the abnormal point, v is the rate of change of the measured value, C is the preset constant, and X is the constant corresponding to the fan gear position; Determining the quasi-stable value of an abnormal point based on the quasi-stable value of the associated point includes the following steps: According to the distribution of quasi-stable values ​​of the associated points, outliers are eliminated; The retained quasi-stable values ​​are weighted according to preset weights to obtain quasi-stable values.

2. The method according to claim 1, characterized in that The determining whether there is an abnormal point based on the environmental parameters comprises the following steps: Determine whether the environmental parameters of each monitoring point exceed the preset normal range; If the environmental parameters of a monitoring point exceed the normal range, the monitoring point is considered an abnormal point.

3. The method according to claim 2, characterized in that The start-up of the control equipment corresponding to the abnormal point includes the following steps: Calculate the difference between the environmental parameters at the abnormal point and the normal range, and determine the power size based on the calculated difference; The control equipment corresponding to the abnormal point operates according to the determined power.

4. The method according to claim 1, wherein The environmental parameters include temperature, humidity and / or carbon dioxide concentration; the control equipment includes a fan.

5. The method according to claim 1, wherein The environmental parameters include ethylene concentration; the control equipment includes an ozone generator.

6. The method according to claim 1, characterized in that The retained quasi-stable values ​​are weighted according to the preset weights, including the following steps: in, is the quasi-stable value of the abnormal point, is the quasi-stable value of each associated point, is the weight value corresponding to each associated point.

7. The method according to any one of claims 1 to 5, characterized in that If the environmental parameter includes ethylene concentration, the method further comprises: When the growth rate of ethylene concentration at a certain monitoring point shows a step change and the duration reaches the preset period, the preset alarm action is executed.

8. The method according to claim 7, characterized in that The steps for judging whether the growth rate of ethylene concentration has a step change are: If the measured growth rate of ethylene concentration in the current minute reaches ten times the rate half an hour ago, the growth rate of ethylene concentration shows a step change.

9. An environmental control device for a storage system, characterized in that: include: An acquisition module is used to acquire environmental parameters of each monitoring point; wherein the monitoring points are points distributed in different areas of the storage system, and the environmental parameters are obtained by detecting sensors installed at the monitoring points; A judgment module, configured to judge whether there is an abnormal point based on the environmental parameters; The startup module is used to control the start-up of the control equipment corresponding to the abnormal point when there is an abnormal point; A calculation module, used for determining a quasi-stable value of the abnormal point based on environmental parameters of monitoring points around the abnormal point; A stop module is used to control the corresponding control device to stop working when the quasi-stable value reaches a preset normal range; Determining the quasi-stable value of the abnormal point based on the environmental parameters of the monitoring points around the abnormal point includes the following steps: Filter out other monitoring points within a certain distance of the abnormal point as related points; Calculate the quasi-stable value of each associated point; Calculate the quasi-stable value of the abnormal point based on the quasi-stable value of the associated point; Calculating the quasi-stable value of each associated point includes the following steps: For any associated point, based on the measured value of the associated point and the rate of change of the measured value, the quasi-stable value of the associated point is calculated; Calculating a quasi-stable value of the associated point based on the measured value of the associated point and the rate of change of the measured value includes the following steps: in, is the quasi-stable value of the associated point, is the measured value of the associated point, k is the preset relationship coefficient, is the distance between the associated point and the abnormal point, v is the rate of change of the measured value, C is the preset constant, and X is the constant corresponding to the fan gear position; Determining the quasi-stable value of an abnormal point based on the quasi-stable value of the associated point includes the following steps: According to the distribution of quasi-stable values ​​of the associated points, outliers are eliminated; The retained quasi-stable values ​​are weighted according to preset weights to obtain quasi-stable values.

10. A warehousing system, characterized in that: In the storage system, multiple monitoring points are respectively set up in different areas, and sensors are set up at the monitoring points to monitor environmental parameters; The storage system is also equipped with control equipment corresponding to each monitoring point; The storage system also includes a control device for implementing the environmental control method according to any one of claims 1 to 8.

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