Embedded micro-think tank environment regulation and control method and system

Abstract

The invention discloses an embedded micro think tank environment regulation and control method and system. The method comprises the following steps: acquiring currently detected and historical environment data and equipment state data; setting a static threshold range based on archive management specifications for any environment data and equipment state data; calculating to obtain a dynamic threshold value of any environment data and equipment state data based on the currently detected and historical environment data and equipment state data; and executing a hierarchical regulation and control decision according to the relationship between any one of the environmental parameter data and the static threshold value and the dynamic threshold value. According to the main technical scheme and the main effects, accurate and smooth regulation and control of the dynamic threshold range of environmental parameters are realized through a method of fusing static and dynamic thresholds into the dynamic threshold range. The method can effectively prevent environmental parameters from frequently exceeding a static threshold value and avoid severe fluctuation of the parameters, so that the stability of the dynamic threshold value range and the comfort of the dynamic threshold value range of the environment are improved.

Description

Technical Field

[0001] This invention relates to the field of monitoring and early warning, and in particular to an embedded micro-intelligence warehouse environment control method and system. Background Technology

[0002] Archives are typically located in the office buildings of government agencies, enterprises, and institutions, and are responsible for the centralized management of the organization's archives. Compared to archives rooms, archives rooms are smaller in scale, so their facilities construction must not only meet the basic requirements for the safe storage and utilization of archives, but also consider economy, applicability, and convenience.

[0003] The shortcomings of existing technology:

[0004] Some organizations, due to funding constraints, are unable to invest sufficient technology and equipment, resulting in low levels of environmental management. Others, while using more advanced smart archive solutions, face significant challenges due to the high cost and complex deployment and maintenance.

[0005] Existing systems are typically limited in function; many archives only have surveillance cameras installed, failing to meet the "ten protections" requirements. While some archives have related equipment, the devices cannot be interconnected, or data cannot be collected and displayed in real time. Furthermore, much environmental monitoring data is still manually recorded and adjusted, lacking intelligent and automated environmental control methods. This results in a lack of centralized and efficient environmental management, making it difficult to achieve energy-saving goals. Summary of the Invention

[0006] Purpose of the invention: The purpose of this invention is to solve the technical problems in the prior art and provide a method and system for controlling the environment of a micro-intelligence warehouse based on embedded systems.

[0007] This specification relates to one or more embodiments of an embedded micro-intelligence warehouse environment control system, an electronic device, a computer-readable storage medium, and a computer program product, in order to address the technical deficiencies existing in the prior art.

[0008] Technical solution:

[0009] Firstly, this application proposes an embedded micro-think tank environment control method, including:

[0010] Acquire currently detected and historical environmental and device status data;

[0011] For any environmental data and equipment status data, a static threshold range based on the record management standard is set;

[0012] The dynamic threshold for any environmental data and equipment status data is calculated based on the currently detected and historical environmental data and equipment status data.

[0013] Based on the relationship between any of the environmental parameter data and the static and dynamic thresholds, a graded control decision is executed.

[0014] Preferably, the environmental data includes temperature data, humidity data, carbon dioxide concentration data, and light intensity data;

[0015] The operating status of the equipment includes the operating status of the air conditioner, the operating status of the constant humidity unit, the status of the lighting controller, and the opening / closing status of the curtains.

[0016] Preferably, a dynamic threshold for any environmental data and device status data is calculated based on currently detected and historical environmental data and device status data, including:

[0017] The basic dynamic threshold is obtained based on historical environmental data and equipment status data;

[0018] The first correction factor for environmental disturbance is calculated based on the currently detected and historical environmental data and equipment status data;

[0019] A second correction factor is obtained based on the detected personnel density;

[0020] The comprehensive correction factor is obtained based on the first and second correction factors;

[0021] The dynamic threshold is obtained by using a basic dynamic threshold and a comprehensive correction factor.

[0022] Preferably, the basic dynamic threshold is obtained based on historical environmental data and equipment status data, including methods based on simple averaging. The average P-value is taken from the same time t of the past N days of the same type, as shown in the following formula:

[0023] ;

[0024] Where N is the number of historical days or time periods used to calculate the average;

[0025] P t,i This represents the environmental parameter values ​​measured at the same time t on N similar days in the past;

[0026] DT base (t) is the base dynamic threshold.

[0027] Preferably, the environmental disturbance correction factor is calculated based on currently detected and historical environmental data and equipment status data; including:

[0028] The formula for calculating the rate of change of current environmental parameters is as follows;

[0029] ;

[0030] The formula for calculating the rate of change of environmental parameters for the same historical period is as follows;

[0031] ;

[0032] The steps involve comparing the current rate of environmental change with the rate of change during the same historical period to obtain the deviation between them, as shown in the following formula;

[0033] ;

[0034] The first correction factor is obtained based on the deviation, as shown in the following formula:

[0035] ;

[0036] in,

[0037] t represents a point in time;

[0038] Δt is a duration / time period, representing the length of the time window;

[0039] P t These are the environmental parameter values ​​measured at time t;

[0040] P t-Δt These are the environmental parameter values ​​measured at time t-Δt;

[0041] dP current / dt represents the current rate of change;

[0042] dP historical / dt represents the historical rate of change;

[0043] k h The historical change sensitivity coefficient (adjustable parameter) is used to adjust for the impact of historical changes.

[0044] f M This represents the median function.

[0045] N is the number of days for calculation.

[0046] Preferably, the second correction factor is obtained based on the detected personnel density, including the following formula;

[0047] ;

[0048] Where k3 is the heat load coefficient and PD is the current population density detected by the sensor.

[0049] Preferably, the comprehensive correction factor is obtained based on the first correction factor and the second correction factor;

[0050] .

[0051] Preferably, the dynamic threshold is obtained by using a basic dynamic threshold and a comprehensive correction factor, including:

[0052] The dynamic control threshold is calculated using the following formula;

[0053] ;

[0054] A dynamic threshold range is constructed around DT(t), including the following formula;

[0055] ;

[0056] ;

[0057] Among them, DT base (t) is the basic dynamic threshold;

[0058] DT low (t) represents the lower limit of the dynamic threshold;

[0059] DT high (t) represents the upper limit of the dynamic threshold;

[0060] α is the weighting coefficient of the correction term;

[0061] δ is a buffer value;

[0062] The dynamic threshold range is DT low (t) to DT high (t).

[0063] Preferably, based on the relationship between any one of the environmental parameter data and the static threshold and dynamic threshold, a graded control decision is executed, including:

[0064] State 1: Normal pre-control zone. When environmental parameters are within the dynamic threshold range, the current control state is maintained or fine-tuned, and high-power equipment is not triggered to start or stop.

[0065] State 2: Dynamic threshold range. When environmental parameters approach the boundary of the dynamic threshold range or the rate of change is greater than 0, proactive regulation based on dynamic thresholds is initiated.

[0066] State 3: Static safe zone. When environmental parameters exceed the dynamic threshold range but remain within the static threshold range, the control intensity is increased.

[0067] State 4: Static Emergency Zone. When environmental parameters reach or exceed the static threshold, forced regulation is immediately triggered.

[0068] State 5: Recovery Zone. When environmental parameters fall back from the static emergency zone and the rate of change tends to stabilize, the intensity of regulation is gradually reduced.

[0069] Secondly, embodiments of the present invention provide an embedded micro-think tank environment control system, comprising:

[0070] The acquisition unit acquires currently detected and historical environmental data and device status data;

[0071] The static threshold construction unit sets a static threshold range based on the record management standard for any environmental data and equipment status data.

[0072] The dynamic threshold construction unit calculates the dynamic threshold for any environmental data and device status data based on the currently detected and historical environmental data and device status data.

[0073] The hierarchical control unit executes hierarchical control decisions based on the relationship between any of the environmental parameter data and the static and dynamic thresholds.

[0074] Thirdly, embodiments of the present invention provide an electronic device, including a processor and a memory. The memory stores one or more computer programs; when the one or more computer programs stored in the memory are executed by the processor, the electronic device is able to implement any of the possible design methods described in the first aspect.

[0075] Fourthly, the present invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the method as described in any of the above embodiments.

[0076] Fifthly, embodiments of the present invention also provide a computer program product that, when run on an electronic device, causes the electronic device to perform any possible design method of any of the above aspects.

[0077] Beneficial Effects: By fusing static and dynamic thresholds to achieve a dynamic threshold range, precise and smooth control of environmental parameters' dynamic threshold ranges can be realized. This method effectively prevents environmental parameters from frequently exceeding static thresholds and avoids drastic fluctuations, thereby improving the stability and comfort of the dynamic threshold range. The system can react in advance to environmental changes, avoiding frequent start-ups and shutdowns of high-power equipment, and maintaining environmental parameters such as temperature and humidity within optimal ranges, thus contributing to improved security of the archives' dynamic threshold range.

[0078] The dynamic threshold design automatically adapts the dynamic threshold range to factors such as seasons, weather, and personnel changes, ensuring the system operates efficiently and stably under various environmental conditions. The static threshold acts as a safety barrier, providing protection when environmental parameters exceed the dynamic control range, making the system more robust and capable of handling various emergencies.

[0079] By employing a tiered and smooth control strategy based on dynamic thresholds, the system effectively avoids frequent start-stop cycles and "overshoot" operation of high-power equipment (such as air conditioners and humidifiers). In the normal pre-control zone, the system only makes minor adjustments to fan speed and operating mode to achieve optimal energy efficiency and eliminate unnecessary equipment startups. In the dynamic warning zone, the system intervenes in advance with low power to avoid the full-power surge required by rapid changes in environmental parameters. Attached Figure Description

[0080] Figure 1 A schematic diagram of the method framework for this invention is provided;

[0081] Figure 2 This is a schematic diagram of the algorithm decision-making process of this invention;

[0082] Figure 3 This is a block diagram of a device structure provided in one embodiment of this application;

[0083] Figure 4 This is a block diagram of an electronic device structure provided in one embodiment of this application. Detailed Implementation

[0084] To make the technical solution of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0085] Example 1

[0086] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions in the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without inventive effort are within the scope of protection of this invention. Unless otherwise defined, the technical or scientific terms used herein should have the ordinary meaning understood by those skilled in the art. The terms "comprising" and similar expressions used herein mean that the element or object preceding the word covers the element or object listed following the word and its equivalents, but do not exclude other elements or objects.

[0087] In response to the problems existing in the current technology, such as Figure 1-2As shown, an embedded micro-intelligence warehouse environment control method is proposed, including:

[0088] Acquire currently detected and historical environmental and device status data;

[0089] In some specific embodiments, the environmental data includes temperature data, humidity data, carbon dioxide concentration data, and light intensity data;

[0090] The operating status of the equipment includes the operating status of the air conditioner, the operating status of the constant humidity unit, the status of the lighting controller, and the opening / closing status of the curtains.

[0091] Specifically, multiple individual environmental data points are collected, and dynamic and static thresholds are generated separately. This facilitates the identification of whether thresholds are exceeded, allowing for the development of a specific execution plan. It also enables the manipulation of equipment corresponding to the data based on the situation.

[0092] Temperature data (T) t ): Continuously collect temperature data to ensure that the temperature in the archives room remains within the set safe range.

[0093] Humidity data (H t ): Monitor humidity changes and maintain a suitable humidity level to avoid affecting the preservation of archives due to excessively high or low humidity.

[0094] Carbon dioxide concentration data (C t ): By detecting the concentration of carbon dioxide in the air, we can assess the air circulation, ensure good ventilation, and prevent air quality from deteriorating.

[0095] Illumination data (L) t ): Monitors light intensity to prevent damage to archival materials from strong light, and can automatically adjust curtains or lights to optimize lighting conditions.

[0096] Air conditioning operating status (S) AC ): Records the operating status of the air conditioner to ensure that it can automatically start and stop when needed, and maintain the temperature within the set range.

[0097] Operating status of the constant humidity unit (S) humidifier ): Monitor whether the constant humidity unit is operating normally and maintain the humidity in the archive room within the set range.

[0098] Lighting controller status (S) light Record the working status of the lighting controller to ensure proper lighting and prevent damage to archival materials.

[0099] Curtain opening / closing status (S) curtain ): Monitors the opening and closing status of the curtains and automatically adjusts the opening and closing of the curtains based on the light data to reduce excessive light.

[0100] For any environmental data and equipment status data, a static threshold range based on the record management standard is set;

[0101] In some specific embodiments, the data acquisition is further preprocessed, including filtering, denoising, calibrating, and normalizing the acquired data.

[0102] Specifically, static threshold setting refers to a set of fixed, safe threshold values ​​set according to predetermined standards in an environmental control system. In detail:

[0103] The static threshold follows relevant standards, such as the provisions in "DA / T Dynamic Threshold Range 81—2019 Technical Specification for Air Quality Testing in Archives Storage Rooms", and is set as a fixed threshold.

[0104] These thresholds are insurmountable hard boundaries; once environmental parameters (such as temperature and humidity) exceed these threshold ranges, the system will automatically trigger an alarm or force regulation.

[0105] Upper limit (ST) high ): This is the maximum allowed value for environmental parameters, such as the highest limit for temperature or the upper limit for humidity.

[0106] Lower limit (ST) low This is the minimum value of the environmental parameter. Exceeding this lower limit may lead to adverse consequences, such as excessively low temperature or humidity.

[0107] Therefore, the static threshold range is the upper limit (ST). high ) and lower limit (ST) low )between;

[0108] Setting static thresholds is to ensure environmental safety and compliance. For example, excessively high or low temperatures may damage the preservation of documents, while excessively high or low humidity may cause document deterioration or corrosion. Therefore, the purpose of static thresholds is to ensure that the environment is within the set range and will not jeopardize the safety of the documents.

[0109] When environmental parameters reach or exceed these static thresholds, the system will immediately take dynamic threshold range-based mandatory control measures, for example:

[0110] Turn on the air conditioner or humidifier to force adjustment;

[0111] The alarm system is triggered to notify management personnel.

[0112] The dynamic threshold for any environmental data and equipment status data is calculated based on the currently detected and historical environmental data and equipment status data.

[0113] In some specific embodiments, a dynamic threshold for any environmental data and device status data is calculated based on currently detected and historical environmental data and device status data, including:

[0114] The basic dynamic threshold is obtained based on historical environmental data and equipment status data;

[0115] In some specific embodiments, a basic dynamic threshold is obtained based on historical environmental data and equipment status data, including a simple averaging method. The average of the P-values ​​at the same time t over the past N days of the same type is taken, as shown in the following formula:

[0116] ;

[0117] Where N is the number of historical days or time periods used to calculate the average;

[0118] P t,i This represents the environmental parameter values ​​measured at the same time t on N similar days in the past;

[0119] DT base (t) is the base dynamic threshold.

[0120] Specifically, a basic reference for the dynamic threshold is obtained through historical data. This formula calculates the dynamic baseline value at the current moment by averaging data from the past N days, serving as a reference for adjusting the current environment. This basic dynamic threshold facilitates further regulation to maintain environmental stability and adaptability.

[0121] The first correction factor for environmental disturbance is calculated based on the currently detected and historical environmental data and equipment status data;

[0122] In some specific embodiments, an environmental disturbance correction factor is calculated based on currently detected and historical environmental data and device status data; including:

[0123] The formula for calculating the rate of change of current environmental parameters is as follows;

[0124] ;

[0125] This formula calculates the environmental parameter Pt at the current time t and the previous measurement value within the time window Δt. The rate of change between [variables]. This value represents the rate at which the current environmental parameter changes;

[0126] The formula for calculating the rate of change of environmental parameters for the same historical period is as follows;

[0127] ;

[0128] This step calculates the rate of change of environmental parameters using historical data, providing a reference benchmark.

[0129] The steps involve comparing the current rate of environmental change with the rate of change during the same historical period to obtain the deviation between them, as shown in the following formula;

[0130] ;

[0131] This deviation reflects the difference between the current rate of change and the historical rate of change for the same period. If the current rate of change is significantly higher than the historical rate of change, it indicates that the current environmental change is abnormal and measures need to be taken in advance.

[0132] The first correction factor is obtained based on the deviation, as shown in the following formula:

[0133] ;

[0134] The DC1 correction factor is generated by multiplying the deviation value and the sensitivity coefficient. If the current environmental change exceeds the expected historical changes, the correction factor increases, and the system will take action more quickly (e.g., start the air conditioner). The correction factor DC1 is the core of dynamically adjusting the environmental control strategy based on the comparison of current and historical data. When the current environmental change exceeds the normal range, the correction factor DC1 prompts the system to respond in advance (e.g., start the cooling system in advance) to ensure that environmental parameters do not deviate excessively from the predetermined target. Through the correction factor, the system can predict and adjust in advance based on real-time changes, avoiding excessive fluctuations in environmental parameters. Here, t is the time point;

[0135] Δt is a duration / time period, representing the length of the time window;

[0136] P t These are the environmental parameter values ​​measured at time t;

[0137] P t-Δt These are the environmental parameter values ​​measured at time t-Δt;

[0138] dP current / dt represents the current rate of change;

[0139] dP historical / dt represents the historical rate of change;

[0140] k h The historical change sensitivity coefficient (adjustable parameter) is used to adjust for the impact of historical changes.

[0141] f M This represents the median function.

[0142] N is the number of days for calculation.

[0143] Specifically, adjustments are made based on historical data (environmental data of different data types are calculated independently): if the current temperature rises rapidly, and the current rate of temperature increase in the archive room is greater than the historical average for the same period, then cooling needs to be started in advance.

[0144] A second correction factor is obtained based on the detected personnel density;

[0145] In some specific embodiments, a second correction factor is obtained based on the detected personnel density, including the following formula;

[0146]

[0147] Where k3 is the heat load coefficient and PD is the current population density detected by the sensor.

[0148] The impact of population density on the environment:

[0149] Personnel density (PD): The number of people or the density of their distribution detected by access control systems or infrared sensors. As personnel density increases, the dynamic threshold range of heat load in the archives also increases because human activity releases heat (such as body temperature, heat generated by activity, etc.). Therefore, increased personnel density affects the temperature of the archives, and the system needs to adjust environmental parameters such as temperature and humidity according to this change to maintain a comfortable working or storage environment.

[0150] When personnel density increases (e.g., in meeting rooms or archives with a large number of people), the system automatically increases the intensity of the dynamic threshold range for cooling or ventilation by calculating DC2 to prevent the ambient temperature from rising due to increased personnel density. If the PD value is large, it indicates that the personnel density is high, and the system may start the cooling equipment earlier or increase the workload of the air conditioning to maintain a suitable temperature in the archives.

[0151] The comprehensive correction factor is obtained based on the first and second correction factors;

[0152] In some specific embodiments, a comprehensive correction factor is obtained based on a first correction factor and a second correction factor;

[0153] .

[0154] By combining these two correction factors, the system can simultaneously consider historical environmental changes and current population density, thereby enabling more dynamic and precise adjustment of environmental control thresholds.

[0155] More intelligent control: For example, when the environment changes rapidly and the population density is high, DC total If the temperature is too high, the system will increase its control measures, such as activating more cooling equipment or increasing air circulation.

[0156] The dynamic threshold is obtained by using a basic dynamic threshold and a comprehensive correction factor.

[0157] In some specific embodiments, the dynamic threshold is obtained by using a basic dynamic threshold and a comprehensive correction factor, including:

[0158] The dynamic control threshold is calculated using the following formula;

[0159] ;

[0160] A dynamic threshold range is constructed around DT(t), including the following formula;

[0161] ;

[0162] ;

[0163] Among them, DT base (t) is the basic dynamic threshold;

[0164] DT low (t) represents the lower limit of the dynamic threshold;

[0165] DT high (t) represents the upper limit of the dynamic threshold;

[0166] α is the weighting coefficient of the correction term;

[0167] δ is a buffer value;

[0168] The dynamic threshold range is DT low (t) to DT high (t).

[0169] Specifically, the dynamic threshold DT(t) is determined by the system based on the basic dynamic threshold (DT). base (t) and dynamic threshold range comprehensive correction factor (DC) total The final threshold is obtained after dynamic adjustment. This final threshold is used to regulate the current environmental state and ensure that environmental parameters are within the set range.

[0170] By calculating the final dynamic threshold range DT(t), the system also defines a dynamic threshold range to determine the acceptable range of environmental parameters.

[0171] DT low (t) The lower limit of the dynamic threshold, representing the minimum limit after dynamic adjustment.

[0172] DT high (t) The upper limit of the dynamic threshold, representing the highest limit after dynamic adjustment.

[0173] To avoid excessive fluctuations in environmental parameters, the system constructs a narrow "pre-regulation zone" around the dynamic threshold range DT(t). This zone is used for smooth transitions and to avoid over-regulation.

[0174] The lower limit of the dynamic threshold; when it falls below this value, it indicates that the environment has deviated from expectations, and the system will begin to take control measures.

[0175] DT high (t) = DT(t) + δ, which is the upper limit of the dynamic threshold. When this value is exceeded, the system will also make adjustments.

[0176] δ is a small buffer value used to define the threshold range and prevent the system from overreacting to small fluctuations.

[0177] Based on the relationship between any of the environmental parameter data and the static and dynamic thresholds, a graded control decision is executed.

[0178] In some specific embodiments, combined with Figure 2 Based on the relationship between any of the environmental parameter data and the static threshold and dynamic threshold, a graded control decision is executed, including:

[0179] State 1: Normal pre-control zone. When environmental parameters are within the dynamic threshold range, the current control state is maintained or fine-tuned, and high-power equipment is not triggered to start or stop.

[0180] ;

[0181] Maintain the current control status or make minor adjustments (e.g., adjust fan speed, cooling or heating mode) to achieve optimal energy efficiency. This will not trigger the start / stop of high-power equipment, ensuring stable system operation.

[0182] Keep environmental parameters within the ideal range to avoid unnecessary power consumption and frequent device start-ups and shutdowns.

[0183] State 2: Dynamic threshold range. When environmental parameters approach the boundary of the dynamic threshold range or the rate of change is greater than 0, proactive regulation based on dynamic thresholds is initiated.

[0184] Current environmental parameter P t Approaching the dynamic threshold DT high (t) or DT low (t); or, the dynamic threshold range of the rate of change of the current parameter dP. t / d t >0 means that the data is constantly changing and may exceed the dynamic threshold.

[0185] Initiate proactive regulation, adjusting based on dynamic thresholds. For example:

[0186] If temperature Tt is close to DT high (t) and dT t / d t >0, start the cooling equipment in advance (even if the temperature has not yet reached the static upper limit ST). high However, it operates at lower power.

[0187] State 3: Static safe zone. When environmental parameters exceed the dynamic threshold range but remain within the static threshold range, the control intensity is increased.

[0188] The current environmental parameter Pt exceeds the dynamic warning zone, but remains within the static threshold range, i.e.:

[0189] ;

[0190] Strengthen regulatory efforts, for example:

[0191] Increase the power of cooling equipment or activate dynamic threshold range auxiliary equipment to accelerate environmental regulation. Objective: When environmental parameters approach static thresholds, take more aggressive regulatory measures to ensure the environment returns to a safe range.

[0192] State 4: Static Emergency Zone. When environmental parameters reach or exceed the static threshold, forced regulation is immediately triggered.

[0193] When the environmental parameter Pt exceeds the static threshold range, that is:

[0194] ;

[0195] Immediately trigger forced regulation based on static thresholds:

[0196] Start all available cooling / heating equipment and operate it at maximum safe power. Trigger the dynamic threshold range alarm system (audible and visual alarms, and notify management personnel). Activate the dynamic threshold range emergency plan, such as shutting down non-critical equipment or activating emergency ventilation. In the most urgent circumstances, quickly restore a safe state, prioritizing rapid environmental safety over energy efficiency.

[0197] State 5: Recovery Zone. When environmental parameters fall back from the static emergency zone and the rate of change tends to stabilize, the intensity of regulation is gradually reduced.

[0198] When the environmental parameter Pt falls from the static emergency zone back to the static threshold range, and the rate of change tends to stabilize, that is:

[0199] ;

[0200] Gradually reduce the intensity of control measures, exit the mandatory mode, and return to the management strategy of dynamic early warning zone or normal pre-control zone. Ensure the system returns to normal operation, avoids continuing to operate in emergency mode, and smoothly transitions back to normal control mode.

[0201] Through a tiered control strategy, the system can take appropriate adjustment measures under different conditions based on changes in environmental parameters. This allows for smooth system control, reduces energy consumption, extends equipment lifespan, and ensures the environment remains safe and comfortable. The forward-looking and flexible dynamic threshold range of this strategy enables the system to dynamically respond to different environmental demands, improving overall efficiency and reliability.

[0202] This application also proposes an embedded micro-intelligence warehouse environment control system, combined with Figure 3 ,include:

[0203] Acquisition unit 201 acquires currently detected and historical environmental data and device status data;

[0204] The static threshold construction unit 202 sets a static threshold range based on the record management standard for any environmental data and equipment status data;

[0205] The dynamic threshold construction unit 203 calculates the dynamic threshold of any environmental data and device status data based on the currently detected and historical environmental data and device status data.

[0206] The hierarchical control unit 204 performs hierarchical control decisions based on the relationship between any of the environmental parameter data and the static threshold and dynamic threshold.

[0207] In other embodiments of the present invention, an electronic device 400 is disclosed, such as... Figure 4 As shown, the electronic device may include: one or more processors 401; a memory 402; a display 403; one or more application programs (not shown); and one or more computer programs 404. These devices can be connected via one or more communication buses 405. The one or more computer programs 404 are stored in the memory 402 and configured to be executed by the one or more processors 401. The one or more computer programs 404 include instructions that can be used to perform actions such as... Figures 1 to 2 And the steps in the corresponding embodiments.

[0208] Through the above description of the embodiments, those skilled in the art will clearly understand that, for the sake of convenience and brevity, only the division of the above functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0209] In the various embodiments of the present invention, the functional units can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0210] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiments of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as flash memory, portable hard disk, read-only memory, random access memory, magnetic disk, or optical disk.

[0211] The above description is merely a specific implementation of the embodiments of the present invention, but the protection scope of the embodiments of the present invention is not limited thereto. Any changes or substitutions within the technical scope disclosed in the embodiments of the present invention should be covered within the protection scope of the embodiments of the present invention. Therefore, the protection scope of the embodiments of the present invention should be determined by the protection scope of the claims.

Claims

1. A method for controlling the environment of a micro-intelligence warehouse based on embedded systems, characterized in that, include: Acquire currently detected and historical environmental and device status data; For any environmental data and equipment status data, a static threshold range based on the record management standard is set; The dynamic threshold for any environmental data and equipment status data is calculated based on the currently detected and historical environmental data and equipment status data. Based on the relationship between any of the environmental parameter data and the static and dynamic thresholds, a graded control decision is executed.

2. The method according to claim 1, characterized in that, The environmental data includes temperature data, humidity data, carbon dioxide concentration data, and light intensity data; The operating status of the equipment includes the operating status of the air conditioner, the operating status of the constant humidity unit, the status of the lighting controller, and the opening / closing status of the curtains.

3. The method according to claim 1, characterized in that, Dynamic thresholds for any environmental data and device status data are calculated based on currently detected and historical environmental and device status data, including: The basic dynamic threshold is obtained based on historical environmental data and equipment status data; The first correction factor for environmental disturbance is calculated based on the currently detected and historical environmental data and equipment status data; A second correction factor is obtained based on the detected personnel density; The comprehensive correction factor is obtained based on the first and second correction factors; The dynamic threshold is obtained by using a basic dynamic threshold and a comprehensive correction factor.

4. The method according to claim 3, characterized in that, The basic dynamic threshold is obtained based on historical environmental and equipment status data, including a simple averaging method. The average P-value is taken from the past N days of the same type at the same time t, as shown in the following formula: ； Where N is the number of historical days or time periods used to calculate the average; P t,i This represents the environmental parameter values ​​measured at the same time t on N similar days in the past; DT base (t) is the base dynamic threshold.

5. The method according to claim 3, characterized in that, An environmental disturbance correction factor is calculated based on current and historical environmental and equipment status data; including: The formula for calculating the rate of change of current environmental parameters is as follows; ； The formula for calculating the rate of change of environmental parameters for the same historical period is as follows; ； The steps involve comparing the current rate of environmental change with the rate of change during the same historical period to obtain the deviation between them, as shown in the following formula; ； The first correction factor is obtained based on the deviation, as shown in the following formula: ； in, t represents a point in time; Δt is a duration / time period, representing the length of the time window; P t These are the environmental parameter values ​​measured at time t; P t-Δt These are the environmental parameter values ​​measured at time t-Δt; dP current / dt represents the current rate of change; dP historical / dt represents the historical rate of change; k h The historical change sensitivity coefficient (adjustable parameter) is used to adjust for the impact of historical changes. f M This represents the median function. N is the number of days for calculation.

6. The method according to claim 5, characterized in that, The second correction factor is derived based on the detected personnel density, including the following formula; Where k3 is the heat load coefficient and PD is the current population density detected by the sensor.

7. The method according to claim 6, characterized in that, The comprehensive correction factor is obtained based on the first and second correction factors; 。 8. The method according to claim 7, characterized in that, The dynamic threshold is obtained by using a basic dynamic threshold and a comprehensive correction factor, including: The dynamic control threshold is calculated using the following formula; ； A dynamic threshold range is constructed around DT(t), including the following formula; ； ； Among them, DT base (t) is the basic dynamic threshold; DT low (t) represents the lower limit of the dynamic threshold; DT high (t) represents the upper limit of the dynamic threshold; α is the weighting coefficient of the correction term; δ is a buffer value; The dynamic threshold range is DT low (t) to DT high (t).

9. The method according to claim 7, characterized in that, Based on the relationship between any of the environmental parameter data and the static threshold and dynamic threshold, a graded control decision is executed, including: State 1: Normal pre-control zone. When environmental parameters are within the dynamic threshold range, the current equipment control state is maintained or fine-tuned, and high-power equipment start-up and shutdown are not triggered. State 2: Dynamic threshold range. When environmental parameters approach the boundary of the dynamic threshold range or the rate of change is greater than 0, proactive regulation based on dynamic thresholds is initiated. State 3: Static safe zone. When environmental parameters exceed the dynamic threshold range but remain within the static threshold range, the control intensity is increased. State 4: Static Emergency Zone. When environmental parameters reach or exceed the static threshold, forced regulation is immediately triggered. State 5: Recovery Zone. When environmental parameters fall back from the static emergency zone and the rate of change tends to stabilize, the intensity of regulation is gradually reduced.

10. An embedded micro-intelligence warehouse environment control system, characterized in that, include: The acquisition unit is used to acquire currently detected and historical environmental data and device status data; The static threshold construction unit, based on the embedded micro-intelligence warehouse environment control, sets a static threshold range based on the archive management standard for any environmental data and equipment status data; The dynamic threshold construction unit, based on the embedded micro-intelligence warehouse environment control, calculates the dynamic threshold of any environmental data and equipment status data based on the currently detected and historical environmental data and equipment status data. The hierarchical control unit, based on the embedded micro-intelligence warehouse environment control, executes hierarchical control decisions according to the relationship between any of the environmental parameter data and the static threshold and dynamic threshold.

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