HBL intelligent vending cabinet temperature control system

Abstract

The invention relates to the technical field of temperature control, in particular to an HBL intelligent vending cabinet temperature control system. Comprising. For a plurality of independent area spaces possibly existing in the vending cabinet, each module not only supports various temperature management modes such as normal temperature, refrigeration and freezing, but also can be accurately controlled according to different article storage requirements. The temperature monitoring sensors are arranged in all the areas, the system can collect temperature data in real time, automatic adjustment is carried out according to the preset temperature control mode, and it is ensured that the temperature of all the areas is stabilized within the target range. Meanwhile, the system is further integrated with a temperature alarm setting and monitoring module, when the actual temperature exceeds the preset range, a sound alarm can be given out in time or an operator and an administrator can be notified through terminal equipment, and therefore the intelligent level of the vending cabinet in the aspects of food safety, energy management and operation maintenance is greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of temperature control, and particularly to a temperature control system for an HBL intelligent vending cabinet. Background Art

[0002] With the rapid development of intelligent Internet of Things and big data technologies, the simple temperature control technology relied on by traditional vending cabinet systems has been difficult to meet the requirements of modern management and users. In the past, vending cabinets usually only adopted a single temperature control device, mainly relying on mechanical or basic electronic control to achieve temperature adjustment. This method has many limitations, which are specifically reflected in the following aspects:

[0003] Single temperature control and insufficient regional management:

[0004] Traditional temperature control systems generally only adopt a unified temperature adjustment scheme for the entire vending cabinet, and cannot perform refined control according to the special needs of different areas inside the vending cabinet. In fact, there may be different items that need to be stored at normal temperature, refrigerated or frozen simultaneously inside the vending cabinet, and each storage method has completely different temperature requirements. For example, refrigeration requires the temperature to be maintained at around 0°C to delay food spoilage, while freezing requires below -18°C to ensure that the food is completely frozen, so as to preserve the freshness of food for a long time. The traditional system cannot organically combine these different requirements, resulting in unsatisfactory temperature control effects, and even problems such as uneven local temperature and inability to guarantee food safety may occur.

[0005] Lack of real-time monitoring and dynamic regulation capabilities:

[0006] The temperature control devices of traditional vending cabinets often rely on preset fixed temperature parameters and regular manual inspections, lacking real-time data collection and dynamic adjustment functions. Due to the influence of factors such as ambient temperature, item stacking quantity, and external climate, the temperature inside the vending cabinet is prone to fluctuations. The traditional system is difficult to capture these changes in a timely manner, and even more unable to automatically adjust the temperature control strategy according to the actual situation. This not only affects the preservation effect of food and beverages, but also may lead to energy consumption waste and an increase in system maintenance costs.

[0007] Lack of remote monitoring and warning functions:

[0008] In the traditional system, temperature anomalies can often only be discovered through manual inspections or simple local alarm devices. Once a failure or temperature control anomaly occurs, the problem often cannot be accurately diagnosed and processed in the first place. Especially in a widely distributed vending cabinet network, the lack of a unified remote monitoring platform makes it difficult to centrally manage the temperature status of the entire system. As a result, temperature anomalies may have an adverse impact on the stored food before being discovered in a timely manner, thereby triggering food safety problems.

[0009] Energy conservation, consumption reduction, and resource management challenges:

[0010] The single temperature control mode cannot flexibly adjust the temperature parameters according to the actual storage requirements, resulting in the vending cabinet operating with high energy consumption even when there is no need for too low or too high temperatures. This "rigid regulation" not only increases the power consumption but also makes the system lack sufficient adaptability in the face of temperature differences in different seasons and regions, further exacerbating the problem of energy waste. Summary of the Invention

[0011] In view of the above-mentioned drawbacks of the prior art, the present invention provides an HBL intelligent vending cabinet temperature control system, which can effectively solve the problem that the temperature, monitoring, and management of the vending cabinet in the prior art cannot be intelligentized.

[0012] To achieve the above objectives, the present invention is realized through the following technical solutions:

[0013] The present invention provides an HBL intelligent vending cabinet temperature control system, including a vending cabinet temperature control module, multiple independent regional spaces, and temperature monitoring sensors arranged in the vending cabinet, including:

[0014] The vending cabinet temperature control module is used to control the opening and closing of the refrigeration system to achieve the regulation of the temperature of each regional space in the vending cabinet;

[0015] Multiple independent regional spaces, each of which is configured with a corresponding vending cabinet temperature control module for realizing the real-time regulation of the temperature of the regional space;

[0016] The vending cabinet temperature control module includes multiple temperature management modes, namely:

[0017] The normal temperature mode for the regional space, with a default temperature range of 15°C to 30°C;

[0018] The refrigeration mode for the regional space, with a default temperature range of 0°C to 4°C;

[0019] The freezing mode for the regional space, with a default temperature range of -18°C to -25°C

[0020] The temperature monitoring sensors are respectively arranged in each regional space for real-time collection of actual temperature data, and generating a temperature control instruction to feedback to the corresponding vending cabinet temperature control module when the detected temperature reaches the corresponding temperature management mode, so that the temperature of each regional space operates under the preset mode;

[0021] And a temperature anomaly analysis module for locating the cause of the failure when the temperature in the regional space is abnormal.

[0022] Further, the temperature control module of the vending cabinet enables remote operation, which is carried out through the temperature control module of the vending cabinet configured in the terminal device, so that the operator can remotely adjust the temperature without directly contacting the vending cabinet.

[0023] When the actual temperature in the regional space reaches the preset normal temperature mode, refrigeration mode or freezing mode of the regional space, the temperature monitoring sensor generates a temperature control instruction and feeds it back to the corresponding temperature control module of the vending cabinet, so that it stops further increasing or decreasing the temperature, thereby ensuring that the temperature of the regional space is stable and operates under the corresponding temperature management mode.

[0024] It further includes a temperature alarm setting module for the vending cabinet, which is used to set the upper and lower limit values of the temperature alarm for each regional space; where:

[0025] The settings of the upper and lower limit values of the temperature alarm shall not be less than the default temperature values of each temperature management mode to ensure the normal operation of the vending cabinet.

[0026] It further includes a temperature monitoring and alarm module for the vending cabinet, which is used for:

[0027] Real-time collecting the actual temperature data of each regional space through the multiple temperature monitoring sensors;

[0028] Judging whether the collected temperature data exceeds the range of the corresponding temperature management mode according to the upper and lower limit values of the temperature alarm preset by the temperature alarm setting module of the vending cabinet;

[0029] When the actual temperature exceeds the set range, generating a temperature alarm message and prompting the temperature anomaly by means of a sound alarm of the temperature monitoring sensor or outputting it to the operator's terminal device, administrator account, etc.

[0030] Further, the receiving account of the temperature alarm message output to the administrator account can be adjusted in the notification configuration.

[0031] Further, the upper and lower limit values of the temperature alarm can be set according to the actual situation.

[0032] An HBL intelligent vending cabinet temperature control method is applied to the above-mentioned HBL intelligent vending cabinet temperature control system, and includes the following steps:

[0033] This method includes the following steps:

[0034] S1. Respectively configure corresponding temperature monitoring sensors and vending cabinet temperature control modules in each independent regional space in the vending cabinet;

[0035] S2. Collect the temperature data of each regional space in real time, and determine whether each regional space reaches the corresponding temperature mode according to the default temperature range of the preset normal temperature mode, refrigeration mode or freezing mode for the regional space;

[0036] S3. When it is detected that the temperature of a certain regional space reaches the preset temperature mode, generate a temperature control instruction and feedback it to the corresponding vending cabinet temperature control module, so as to control the opening and closing of the refrigeration system and ensure that the temperature of the regional space is maintained under the corresponding temperature management mode;

[0037] S4. Set the upper and lower limit values of the temperature alarm for each regional space through the vending cabinet temperature alarm setting module, and monitor the actual temperature data of each regional space by the vending cabinet temperature monitoring and alarm module. When the actual temperature exceeds the set upper and lower limit values of the alarm, generate and output a temperature alarm message.

[0038] A computer device includes a memory and a processor. The memory stores a computer program. It is characterized in that when the processor executes the computer program, the steps of the described HBL intelligent vending cabinet temperature control method are realized.

[0039] A computer-readable storage medium stores a computer program thereon. It is characterized in that when the computer program is executed by a processor, the steps of the described HBL intelligent vending cabinet temperature control method are realized.

[0040] The technical solution provided by the present invention has the following beneficial effects compared with the known prior art:

[0041] Refined temperature control management:

[0042] Multi-mode adaptability: By setting the normal temperature, refrigeration, and freezing modes respectively, the optimal storage environment can be provided for different types of foods and beverages, which not only meets the short-term storage needs (such as refrigeration to delay food spoilage), but also is suitable for long-term preservation (such as freezing to maintain food quality).

[0043] Real-time monitoring and intelligent warning:

[0044] Multi-point temperature collection: The temperature monitoring sensors deployed in each area collect data in real time to ensure a global grasp of the environmental temperature.

[0045] Intelligent alarm mechanism:

[0046] When the actual temperature exceeds the preset safe range (upper and lower limits of the alarm), the system can not only automatically issue an audible alarm, but also notify the operator and administrator in time through the terminal device, effectively preventing food spoilage or safety accidents caused by abnormal temperature.

[0047] Remote control and convenient operation:

[0048] Remote operation of the terminal device: The system supports remote control. The operator can perform temperature adjustment operations on the terminal device without on-site manual intervention, enabling flexible adjustment of temperature control parameters.

[0049] Ensure operation safety and energy efficiency management:

[0050] Alarm threshold protection: When setting the upper and lower limits of the temperature alarm, the system requires that these values must not be lower than the default temperature range, thus effectively avoiding temperature anomaly problems caused by improper settings and ensuring that the vending cabinet always operates under safe and stable temperature control conditions.

[0051] Energy conservation and consumption reduction: Precise temperature control management can not only extend the shelf life of food, reduce energy waste caused by temperature fluctuations, but also help reduce maintenance costs and achieve an efficient energy-saving operation mode.

[0052] By establishing a mathematical model, real-time monitoring, change rate analysis, and trend judgment of temperature anomaly data are achieved, enabling accurate differentiation between instantaneous fluctuations and continuous anomalies, and further refining the location of the cause of the fault, which is specifically divided into three indicators: equipment failure, environmental factors, and system anomalies;

[0053] When the equipment failure indicator is the largest, the system can prioritize focusing on faults in key hardware such as the refrigeration system, temperature control module, or sensor, thus quickly locating and solving temperature anomaly problems; at the same time, the solution also realizes adaptive optimization and dynamic adjustment by setting preset thresholds, sampling windows, and weight coefficients, improving the accuracy of fault diagnosis and the system's fault tolerance ability, providing detailed data support and decision-making basis for operation and maintenance personnel, and then realizing automatic adjustment, alarm, and log recording, effectively ensuring the stable operation of the temperature in each area of the intelligent vending cabinet and ensuring product quality and user safety Description of the drawings

[0054] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0055] Figure 1 It is the overall module block diagram of the present invention. Detailed implementation manners

[0056] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0057] With the rapid development of intelligent Internet of Things technology and big data technology, traditional vending cabinet systems are facing an urgent need to transform towards intelligence and precision. In the past, vending cabinets generally used relatively simple temperature control devices, which in most cases only had a single temperature control ability, lacked fine management of temperatures in different areas of the storage environment, and also lacked remote monitoring and real-time warning functions. This single temperature control method is unable to cope when faced with diverse storage requirements. For example, there are significant differences in temperature requirements for refrigeration, freezing, and normal temperature storage. At the same time, problems such as food preservation, food safety, and energy conservation and consumption reduction are becoming increasingly prominent.

[0058] To solve the deficiencies in the traditional system, the HBL intelligent vending cabinet temperature control system proposes a brand-new solution. For the multiple independent regional spaces that may exist in the vending cabinet, dedicated temperature control modules are respectively configured. Each module not only supports multiple temperature management modes such as normal temperature, refrigeration, and freezing, but also can perform precise control according to different item storage requirements. By arranging temperature monitoring sensors in each area, the system can collect temperature data in real time and automatically adjust according to the preset temperature control mode to ensure that the temperature in each area is stable within the target range. At the same time, the system also integrates a temperature alarm setting and monitoring module, which can emit a sound alarm in a timely manner or notify the operator and administrator through a terminal device when the actual temperature exceeds the preset range, thereby greatly improving the intelligent level of the vending cabinet in terms of food safety, energy management, and operation and maintenance.

[0059] The following further describes the present invention with reference to the embodiments.

[0060] Embodiment 1 (refer to Figure 1 ): An HBL intelligent vending cabinet temperature control system includes at least:

[0061] A vending cabinet temperature control module, which is used to control the temperature of the regional space in the vending cabinet (realize temperature control through the opening and closing of the refrigeration system, such as a refrigeration compressor). Among them, for the current vending cabinet, multiple independent regional spaces are respectively set, and each independent regional space is configured with a corresponding vending cabinet temperature control module to realize real-time regulation of the temperature of this regional space.

[0062] It should be noted that for the vending cabinet temperature control module in the said regional space, it includes multiple temperature management modes, namely:

[0063] Regional space normal temperature mode;

[0064] Regional space refrigeration mode;

[0065] Regional space freezing mode;

[0066] Among them:

[0067] For the regional space normal temperature mode, the usually default temperature range is generally between 15°C and 30°C, and the specific temperature will vary depending on the region and season;

[0068] For the regional space refrigeration mode, the usually default temperature range is generally 0°C to 4°C. For example, in the actual temperature control of the refrigerated room, the temperature is usually controlled around 0°C, but the specific temperature will vary according to the types and requirements of the refrigerated items; Refrigeration is mainly used for short-term preservation, which can delay the deterioration process of food, but cannot completely stop the activities of microorganisms and enzyme reactions. Generally speaking, refrigeration can extend the shelf life of food by several days to about a week. For example, fresh meat can be stored for 3 - 5 days under refrigeration conditions, and vegetables and fruits can be stored for 1 - 2 weeks;

[0069] For the regional space freezing mode, the usually default temperature range is generally -18°C to -25°C. This is to ensure that food or beverages remain in a frozen state in a low-temperature environment; Freezing can lower the temperature of food below the freezing point, almost completely stopping the activities of microorganisms and enzyme reactions, thus achieving long-term preservation. Freezing can extend the shelf life of food by several months or even years;

[0070] It should be noted that the specific temperature settings may be adjusted according to the application scenario and the storage requirements of the items, and no specific limitations are made in this embodiment.

[0071] By configuring corresponding temperature monitoring sensors in the regional space to monitor whether the temperature reaches the corresponding regional space normal temperature mode, regional space refrigeration mode, and regional space freezing mode, after reaching the corresponding regional space normal temperature mode, regional space refrigeration mode, and regional space freezing mode, a temperature control instruction is generated and fed back to the vending cabinet temperature control module, then the vending cabinet temperature control module no longer increases or decreases the temperature of the regional space, ensuring that the temperature operates under the corresponding regional space normal temperature mode, regional space refrigeration mode, and regional space freezing mode.

[0072] In the above, for the vending cabinet temperature control module, remote operation can be realized. It can be installed in the terminal device to achieve remote regulation of the vending cabinet. In this way, there is no need for the operator to contact the vending cabinet to achieve offline temperature control, improving convenience.

[0073] Therefore, when the operator operates on the terminal device, the temperature control of the regional space in the vending cabinet can be realized by increasing or decreasing the temperature (entering a number in the input box) so as to manage the temperature according to actual needs.

[0074] It also includes a vending cabinet temperature alarm setting module for setting the upper and lower limit values of the temperature alarm. It should also be noted that when setting the upper and lower limit values of the temperature alarm, the upper and lower limit values of the temperature cannot be less than the default temperature to ensure the normal operation of the vending cabinet.

[0075] And a vending cabinet temperature monitoring and alarm module. After the vending cabinet temperature alarm setting module sets the corresponding upper and lower limit values of the temperature alarm, it is used to monitor the actual temperature data of the regional space in the vending cabinet through multiple temperature monitoring sensors respectively in the regional space of the vending cabinet. If the actual temperature data exceeds the temperature mode corresponding to the regional space, a temperature alarm message will be generated, including but not limited to the sound alarm of the temperature monitoring sensor. The temperature alarm message can also be output to the operator's terminal device so that the operator can monitor the remote temperature of the current vending cabinet and perform subsequent management on the terminal device; in addition to this, the temperature alarm message can also be output to the administrator account, and the receiving account can be adjusted in the notification configuration.

[0076] Finally, it also includes a temperature anomaly analysis module for locating the cause of the fault when the temperature in the regional space exceeds the range threshold of the preset mode, including the following methods:

[0077] Determine the temperature change rate

[0078] Among them, T′ i represents the original temperature data at the i-th moment, and Δt represents the sampling time interval;

[0079] If the temperature change rate r i exceeds the threshold, it is determined that the temperature changes rapidly and there may be an instantaneous impact anomaly;

[0080] Then perform a trend judgment:

[0081] In a time window W, which contains M consecutive sampling points, count the occurrence of anomalies and define the judgment condition for continuous anomalies:

[0082]

[0083] θ represents the threshold ratio, for example, 0.8, indicating that 80% of the sampling points are abnormal, and k represents the index of the starting moment of the window;

[0084] At the same time, calculate the average deviation within the window

[0085]

[0086] By judging the judgment condition F, r i the statistical distribution is used for differentiation:

[0087] Instantaneous fluctuations, if the anomaly only appears at a single point or for a short time, and the temperature change rate is high but the duration is short;

[0088] Persistent anomaly, if most of the samples are abnormal for a long time and the average deviation is large, it indicates that the vending cabinet may be out of control for a long time;

[0089] Furthermore, for fault cause localization, there are:

[0090] To initially diagnose the cause of the anomaly, three fault indicators are introduced, including the equipment fault indicator I D , the environmental factor indicator I E and the system anomaly indicator I S ;

[0091] Considering that the refrigeration system response delay or sensor failure usually shows a large temperature deviation and a slow change trend, the equipment fault indicator I D is defined as:

[0092]

[0093] where ΔT ref represents the reference value of the temperature deviation under normal conditions of the vending cabinet, Δr ref represents the reference change rate, and α and β represent the corresponding weight coefficients respectively, represents the average absolute value of the temperature change rate within the anomaly window;

[0094] Considering the temperature anomaly caused by external environmental interference (such as the cabinet door not being closed tightly, too high external temperature), the door state monitoring signal and environmental temperature data are introduced, and the environmental factor indicator I E is defined as:

[0095]

[0096] where δ door represents the door state indication (1 means the door is not closed tightly, 0 means the door is closed), T env represents the current environmental temperature, T set represents the regional set temperature, T env,ref represents the reference value affected by the environmental temperature; γ and δ represent the corresponding weight coefficients respectively;

[0097] Considering system factors such as communication interruption or software logic errors, use an indicator to measure the system anomaly index I S :

[0098] I S = ε·δ comm + ξ·δ sensor

[0099] where δ comm represents the communication failure indication (1 indicates that a communication anomaly is detected, 0 indicates normal), and δ sensor represents the sensor data consistency indication (1 indicates the existence of data jumps or inconsistencies, 0 indicates normal), and ε and ξ represent the corresponding weight coefficients respectively;

[0100] Therefore, the cause of the fault is determined as follows:

[0101] Cause of fault = argmax{I D , I E , I S}

[0102] where, if the equipment fault index I D is the largest, it is preferentially determined as an equipment fault (faults occur in components such as compressors, condensers, evaporators, etc.). If the environmental factor index I E is the largest, it is preferentially determined to be caused by environmental factors; if the system anomaly index I S , it is preferentially determined that there is an anomaly inside the system; through the identification of the cause of the vending cabinet fault, the operator can then handle the corresponding faults of the vending machine.

[0103] By establishing a mathematical model, real-time monitoring, change rate analysis, and trend judgment of temperature anomaly data are realized, so as to accurately distinguish instantaneous fluctuations from continuous anomalies and further refine the location of the cause of the fault, which is specifically divided into three indicators: equipment fault, environmental factor, and system anomaly. When the equipment fault index is the largest, the system can give priority to focusing on the faults of key hardware such as the refrigeration system, temperature control module, or sensor, so as to quickly locate and solve the temperature anomaly problem; at the same time, the solution also realizes adaptive optimization and dynamic adjustment by setting preset thresholds, sampling windows, and weight coefficients, improving the accuracy of fault diagnosis and the system's fault tolerance ability, providing detailed data support and decision-making basis for maintenance personnel, and then realizing automatic adjustment, alarm, and log recording, effectively ensuring the stable operation of the temperature in each area of the intelligent vending cabinet and ensuring product quality and user safety

[0104] Main functions and advantages of the solution:

[0105] Fine-grained temperature control management:

[0106] Multi-mode adaptability: By separately setting the normal temperature, refrigeration, and freezing modes, it can provide the optimal storage environment for different types of foods and beverages, meeting both short-term storage needs (such as refrigeration to delay food spoilage) and long-term preservation requirements (such as freezing to maintain food quality).

[0107] Independent zone regulation:

[0108] Each independent zone has a dedicated temperature control module, which can achieve precise temperature adjustment, avoiding uneven local temperatures caused by overall regulation, and ensuring stable operation within the set temperature range for each zone.

[0109] Real-time monitoring and intelligent warning:

[0110] Multi-point temperature acquisition: Temperature monitoring sensors deployed within each zone collect data in real time to ensure a comprehensive understanding of the ambient temperature.

[0111] Intelligent warning mechanism:

[0112] When the actual temperature exceeds the preset safe range (warning upper and lower limits), the system can not only automatically issue an audible alarm but also notify the operator and administrator in a timely manner through the terminal device, effectively preventing food spoilage or safety accidents caused by abnormal temperatures.

[0113] Remote control and convenient operation:

[0114] Remote operation of terminal device: The system supports remote regulation. The operator can perform temperature adjustment operations on the terminal device without on-site manual intervention, enabling flexible adjustment of temperature control parameters.

[0115] Digital management:

[0116] Instructions such as increasing or decreasing the temperature can be finely adjusted by entering numbers, facilitating real-time management and adjustment by the administrator according to actual needs, and improving the overall operation efficiency.

[0117] Ensure operation safety and energy efficiency management:

[0118] Alarm threshold protection: When setting the upper and lower limits of the temperature alarm, the system requires these values to be not lower than the default temperature range, thus effectively avoiding temperature anomalies caused by improper settings and ensuring that the vending cabinet always operates in a safe and stable temperature control state.

[0119] Energy conservation and consumption reduction: Precise temperature control management can not only extend the shelf life of food, reduce energy waste caused by temperature fluctuations, but also help reduce maintenance costs and achieve an energy-efficient operation mode.

[0120] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the protection scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A HBL intelligent vending cabinet temperature control system, comprising a vending cabinet temperature control module arranged in the vending cabinet, a plurality of independent area spaces, and a temperature monitoring sensor, characterized in that: include: The vending cabinet temperature control module is used to control the temperature of each area in the vending cabinet by controlling the opening and closing of the refrigeration system; Multiple independent regional spaces, each of which is equipped with a corresponding vending cabinet temperature control module for achieving real-time control of the temperature of the regional space; The vending cabinet temperature control module includes multiple temperature management modes, namely: Regional space normal temperature mode; Regional space cold storage mode; Regional space freezing mode; Temperature monitoring sensors, wherein the plurality of temperature monitoring sensors are respectively arranged in each area space, and are used to collect actual temperature data in real time, and generate temperature control instructions and feed them back to the corresponding vending cabinet temperature control module when the temperature reaches the corresponding temperature management mode, so that the temperature of each area space is maintained in the preset mode; And, the temperature anomaly analysis module is used to locate the cause of the fault when the temperature in the monitoring area space exceeds the threshold.

2. The HBL intelligent vending cabinet temperature control system according to claim 1 is characterized in that: The fault cause location described above includes the following methods: Determine the rate of temperature change Among them, T′ i represents the original temperature data at the i-th moment, and Δt represents the sampling time interval; If the temperature change rate r i If the threshold is exceeded, it is determined that the temperature changes rapidly; To determine the trend: In a time window W, including M continuous sampling points, the occurrence of abnormalities is counted and the judgment conditions for continuous abnormalities are defined: θ represents the threshold ratio, k represents the window start time index; Calculate the average deviation within the window By judging the judgment condition F, r i Statistical distribution of , distinguish: Momentary fluctuations; Persistent abnormality; Further, to locate the cause of the fault, we have: Introducing three fault indicators, including equipment fault indicator I D 、Environmental Factors Index I E And system abnormality index I S ; Defining Equipment Failure Indicator I D : Where, ΔT ref Indicates the temperature deviation reference value of the vending cabinet under normal conditions, Δr ref represents the reference rate of change, α and β represent the corresponding weight coefficients, It represents the average absolute value of the temperature change rate within the abnormal window; Define environmental factor indicators I E : Among them, δ door Indicates door status indication, T env Indicates the current ambient temperature, T set Indicates the zone set temperature, T env,ref It represents the reference value of the influence of ambient temperature; γ and δ represent the corresponding weight coefficients respectively; Defining system abnormality indicators I S : I S =e·d comm +ξ·δ sensor Among them, δ comm Indicates communication fault indication, δ sensor represents the sensor data consistency indicator, ε and ξ represent the corresponding weight coefficients respectively; Determine the cause of the fault: Fault cause = arg max{I D ,I E ,I S } Among them, if the equipment failure index I D The largest, it is first judged as equipment failure. If the environmental factor index I E The largest, then the priority is to determine that it is caused by environmental factors; if the system abnormality index I S , it is first determined that there is an abnormality inside the system.

3. The HBL intelligent vending cabinet temperature control system according to claim 1 is characterized in that: When the actual temperature in the regional space reaches the preset regional space normal temperature mode, refrigeration mode or freezing mode, the temperature monitoring sensor generates a temperature control instruction and feeds it back to the corresponding vending cabinet temperature control module to stop further temperature increase or decrease, thereby ensuring that the regional space temperature is stable and operates in the corresponding temperature management mode.

4. The HBL intelligent vending cabinet temperature control system according to claim 1 is characterized in that: It also includes a vending cabinet temperature alarm setting module, which is used to set the temperature alarm upper limit and lower limit of each area space; wherein: The temperature alarm upper and lower limit values ​​shall not be set less than the default temperature value of each temperature management mode to ensure the normal operation of the vending cabinet.

5. The HBL intelligent vending cabinet temperature control system according to claim 1 is characterized in that: It also includes a vending cabinet temperature monitoring and alarm module, which is used to: The actual temperature data of each area space is collected in real time by the multiple temperature monitoring sensors; Determine whether the collected temperature data exceeds the range of the corresponding temperature management mode according to the temperature alarm upper and lower limit values ​​pre-set by the vending cabinet temperature alarm setting module; When the actual temperature exceeds the set range, a temperature alarm message is generated, and the temperature abnormality is prompted through the sound alarm of the temperature monitoring sensor or output to the operator terminal device, administrator account, etc.

6. The HBL intelligent vending cabinet temperature control system according to claim 1 is characterized in that: The receiving account to which the temperature alarm information is output to the administrator account can be adjusted in the notification configuration.

7. The HBL intelligent vending cabinet temperature control system according to claim 4 is characterized in that: The temperature alarm upper limit and lower limit can be set according to actual conditions.

8. A HBL smart vending cabinet temperature control method, applied to a HBL smart vending cabinet temperature control system according to any one of claims 1 to 7, characterized in that: The steps include: The method comprises the following steps: S1. Dispose corresponding temperature monitoring sensors and vending cabinet temperature control modules in each independent area space in the vending cabinet; S2. Real-time collection of temperature data of each area space, and judging whether each area space reaches the corresponding temperature mode according to the preset default temperature range of the area space normal temperature mode, refrigeration mode or freezing mode; S3. When it is detected that the temperature of a certain area reaches the preset temperature mode, a temperature control instruction is generated and fed back to the corresponding vending cabinet temperature control module, thereby controlling the start and stop of the refrigeration system to ensure that the temperature of the area is maintained in the corresponding temperature management mode; S4. Set the temperature alarm upper and lower limits of each area space through the vending machine temperature alarm setting module, and monitor the actual temperature data of each area space by the vending machine temperature monitoring alarm module. When the actual temperature exceeds the set upper and lower alarm limits, generate and output temperature alarm information.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to claim 8 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to claim 8 are implemented.

Images