Real-time monitoring alarm system for cold storage based on internet of things

Abstract

The application belongs to the technical field of cold storage supervision, and particularly relates to a cold storage real-time monitoring alarm system based on an internet of things, which comprises a water immersion and fire condition detection unit, an environment harmfulness detection and analysis unit, a cold storage storage effect influence analysis unit, an intelligent emergency control unit and a cold storage management response end; the application can automatically switch to a standby power source when power interruption occurs, so as to ensure continuous operation of the cold storage; and the application can monitor key parameters such as ground water, fire condition, harmful gas concentration, access control state and temperature fluctuation in the cold storage in real time, so as to ensure that potential safety hazards can be found and handled in time, storage loss and personnel injury caused by water immersion, fire, harmful gas exceeding the standard or abnormal temperature maintenance factors can be effectively prevented, the reliability and safety of the cold storage are enhanced, the intelligentization and automation degree are high, and the supervision difficulty of the cold storage is significantly reduced.

Description

Technical Field

[0001] This invention relates to the field of cold storage monitoring technology, specifically a real-time monitoring and alarm system for cold storage based on the Internet of Things. Background Technology

[0002] Cold storage refers to a storage facility that artificially controls and maintains a stable low-temperature environment. Its core function is to create a suitable temperature condition through artificial refrigeration technology to extend the shelf life and stability of food, medicine or other goods that require low-temperature preservation. It is usually composed of a well-insulated storage body, a refrigeration system and a temperature control system.

[0003] With the integration of technologies such as the Internet of Things, big data, and artificial intelligence, modern cold storage management is developing towards intelligence and automation. A monitoring system for cold storage is disclosed in Chinese invention patent with publication number CN117404869A. The invention's technical solution monitors the temperature inside the cold storage in real time through a temperature and humidity detection module. When the analysis result indicates an abnormality, the internal temperature control device of the cold storage is controlled according to the adjustment information temperature to adjust the internal temperature of the cold storage accordingly.

[0004] However, in practical applications, the above-mentioned invention only focuses on monitoring and regulating the temperature inside the cold storage. It is insufficient in terms of monitoring cold storage parameters. It is not only difficult to provide timely feedback on the water accumulation and fire situation in each storage space of the cold storage, but also unable to accurately judge the environmental hazards, the degree of impact on storage effect, and the operating performance of refrigeration equipment in each storage space. This is not conducive to achieving effective supervision of the cold storage and ensuring the storage safety of the stored goods. The level of intelligence and automation is low.

[0005] To address the aforementioned technical shortcomings, a solution is proposed. Summary of the Invention

[0006] The purpose of this invention is to provide a real-time monitoring and alarm system for cold storage based on the Internet of Things. This system solves the problems of existing technologies, such as the inability to provide timely feedback on water accumulation and fire conditions in various storage spaces within a cold storage facility, the inability to accurately determine the environmental hazards, the impact on storage effectiveness, and the operational performance of refrigeration equipment in each storage space, which are not conducive to effective supervision of cold storage and ensuring the safety of stored goods. It also addresses the issues of low levels of intelligence and automation and high difficulty in supervision.

[0007] To achieve the above objectives, the present invention provides the following technical solution:

[0008] The IoT-based real-time monitoring and alarm system for cold storage includes a water immersion and fire detection unit, an environmental hazard detection and analysis unit, a cold storage effect impact analysis unit, an intelligent emergency control unit, and a cold storage management response terminal. The water immersion and fire detection unit monitors the water level on the ground of each storage space in the cold storage in real time through a distributed water level sensor array, and monitors the fire status of each storage space in the cold storage in real time through smoke detectors. It also sends the water immersion and fire information of each storage space in the cold storage to the intelligent emergency control unit, which then performs corresponding control operations and sends corresponding alarm information to the cold storage management response terminal.

[0009] If there is no water damage or fire in the corresponding storage space, the environmental hazard detection and analysis unit will monitor the gas conditions in each storage space in the cold storage area and determine their hazard. Based on this, a hazard alarm signal or a hazard controllable signal will be generated for the corresponding storage space. When a hazard alarm signal is generated, the intelligent emergency control unit will take corresponding control actions and send the corresponding alarm information to the cold storage management response terminal.

[0010] When generating a controllable hazardous signal, the cold storage effect impact analysis unit analyzes the potential impact of the storage effect on the corresponding storage space, and generates a high-impact signal or a low-impact signal for the corresponding storage space. The high-impact signal or the low-impact signal is then sent to the cold storage management response terminal through the intelligent emergency control unit.

[0011] Furthermore, the intelligent emergency control unit is also connected to the power outage monitoring unit. The power outage monitoring unit detects the mains power status in real time. When the voltage is less than or equal to 180V or greater than or equal to 260V, it generates a voltage warning message and sends it to the cold storage management response terminal through the intelligent emergency control unit. In the event of a complete power outage, the intelligent emergency control unit switches to the backup generator, shuts down unnecessary loads, and activates the cold storage door access lock.

[0012] Furthermore, when the water immersion and fire detection unit detects that the water level on the ground of the corresponding storage space exceeds 5mm, the intelligent emergency control unit starts the drainage pump, shuts down the refrigeration equipment corresponding to the storage space, and sends an alarm to the cold storage management response terminal; when the water immersion and fire detection unit detects a fire in the corresponding storage space, the intelligent emergency control unit starts the heptafluoropropane fire extinguishing system, cuts off the non-fire-fighting power supply, and starts the emergency ventilation system, and sends an alarm to the cold storage management response terminal; when the environmental hazard detection and analysis unit generates a hazard alarm signal for the corresponding storage space, the intelligent emergency control unit starts the axial flow fan for forced ventilation of the corresponding storage space, and sends an alarm to the cold storage management response terminal.

[0013] Furthermore, the specific analysis process of the environmental hazard detection and analysis unit is as follows:

[0014] The system identifies the types of harmful gases that need to be monitored in the cold storage, collects the real-time concentration of each harmful gas in the corresponding storage space, compares the real-time concentration of the corresponding harmful gas with the corresponding preset concentration threshold, and marks the corresponding harmful gas as an excessive gas if the real-time concentration exceeds the corresponding preset concentration threshold. If there is excessive gas in the corresponding storage space, a harmfulness alarm signal for the corresponding storage space is generated.

[0015] If there are no excessive gases in the corresponding storage space, a set of preset hazard weight values ​​is assigned to each type of hazardous gas. The real-time concentration of the corresponding type of hazardous gas is multiplied by the corresponding preset hazard weight value to obtain the concentration hazard characteristic value of the corresponding type of hazardous gas. The concentration hazard characteristic values ​​of all types of hazardous gases in the corresponding storage space are summed and the sum is marked as a hazard coefficient. The hazard coefficient is compared with a preset hazard coefficient threshold. If the hazard coefficient exceeds the preset hazard coefficient threshold, a hazard alarm signal for the corresponding storage space is generated; if the hazard coefficient does not exceed the preset hazard coefficient threshold, a hazard controllable signal for the corresponding storage space is generated.

[0016] Furthermore, the cold storage effect impact analysis unit includes an access control status analysis module and a temperature fluctuation assessment module. The access control status analysis module monitors the opening and closing status of the cold storage door in the corresponding storage space through a combination of an electromagnetic lock status sensor and an infrared beam detector. Based on this, it identifies when the cold storage door is abnormally opened, and determines whether to assign an access control abnormality symbol ZX-1 through access control status abnormality decision analysis. When assigning the access control abnormality symbol ZX-1, it is sent to the cold storage effect impact analysis unit.

[0017] The temperature fluctuation assessment module analyzes the temperature maintenance status within the corresponding storage space and determines whether to assign a temperature anomaly symbol WX-1. If a temperature anomaly symbol WX-1 is assigned, it is sent to the cold storage effect impact analysis unit. When the cold storage effect impact analysis unit receives the access control anomaly symbol ZX-1 or the temperature anomaly symbol WX-1, it generates a high storage efficiency impact signal for the corresponding storage space; otherwise, it generates a low storage efficiency impact signal.

[0018] Furthermore, the specific analysis process for decision analysis of access control status anomalies is as follows:

[0019] The system obtains the number of times the cold storage door corresponding to the corresponding storage space is abnormally opened within a unit of time and marks it as the abnormal opening frequency value. It also marks the total time the corresponding cold storage door is in an abnormally open state within a unit of time as the abnormal opening total time value. The abnormal opening frequency value and the abnormal opening total time value are compared with the preset abnormal opening frequency threshold and the preset abnormal opening total time threshold respectively. If the abnormal opening frequency value or the abnormal opening total time value exceeds the corresponding preset threshold, the access control abnormal symbol ZX-1 is assigned.

[0020] Furthermore, the specific analysis process of the temperature fluctuation assessment module includes:

[0021] The system obtains the real-time temperature within the corresponding storage space and compares it with the corresponding standard storage temperature range. If the real-time temperature is not within the corresponding standard storage temperature range, the system determines that the corresponding storage space is in an unfavorable storage state. The system obtains the total duration of the corresponding storage space in an unfavorable storage state per unit time and marks it as the unfavorable storage condition value. The system compares the unfavorable storage condition value with a preset unfavorable storage condition threshold. If the unfavorable storage condition value exceeds the preset unfavorable storage condition threshold, the system assigns a temperature anomaly symbol WX-1.

[0022] Furthermore, if the storage unfavorable condition value does not exceed the preset storage unfavorable condition threshold, the difference between the real-time temperature and the median of the corresponding standard storage temperature range is calculated and the absolute value is taken to obtain the temperature adjustment coefficient, and the average of all temperature adjustment coefficients within a unit time is calculated to obtain the temperature control deviation value.

[0023] It also obtains all single durations of the corresponding storage space in the storage non-advantage state, marks the number of times the single duration exceeds the preset single duration threshold as the storage high impact frequency, calculates the temperature fluctuation evaluation value by weighted summation of the storage non-advantage state value, temperature control bias value and storage high impact frequency, compares the temperature fluctuation evaluation value with the preset temperature fluctuation evaluation threshold, and assigns the temperature anomaly symbol WX-1 if the temperature fluctuation evaluation value exceeds the preset temperature fluctuation evaluation threshold.

[0024] Furthermore, the cold storage effect impact analysis unit is connected to the refrigeration equipment monitoring unit. When a low storage efficiency impact signal is generated, the refrigeration equipment monitoring unit monitors the operation of the refrigeration equipment involved in the corresponding storage space. The analysis determines whether to generate a refrigeration alarm signal for the corresponding refrigeration equipment. When a refrigeration alarm signal is generated, the intelligent emergency control unit sends the corresponding alarm information to the cold storage management response end.

[0025] Furthermore, the specific analysis process of the refrigeration equipment monitoring unit is as follows:

[0026] The system acquires the refrigeration equipment involved in the corresponding storage space, collects the refrigeration power of the corresponding refrigeration equipment at several detection time points within a unit time, marks the deviation of the refrigeration power from the set standard power as the refrigeration operation failure value, and marks the percentage of detection time points where the refrigeration operation failure value exceeds the preset refrigeration operation failure threshold within a unit time as the power execution failure value. The power execution failure value is compared with the preset power execution failure threshold. If the power execution failure value exceeds the preset power execution failure threshold, a refrigeration alarm signal for the corresponding refrigeration equipment is generated.

[0027] If the power execution abnormal value does not exceed the preset power execution abnormal threshold, then when the noise decibel value and vibration amplitude value generated by the corresponding refrigeration equipment during operation exceed the corresponding preset threshold, it is determined that it is in a noise and vibration warning state. The total duration of the corresponding refrigeration equipment in the noise and vibration warning state within a unit time is obtained and marked as the noise and vibration warning detection value. The average value of the noise decibel value and the average value of the vibration amplitude value within a unit time are marked as the refrigeration noise detection value and the refrigeration vibration detection value, respectively. The refrigeration equipment monitoring value is obtained by weighted summation of the noise and vibration warning detection value, the refrigeration noise detection value, and the refrigeration vibration detection value. The refrigeration equipment monitoring value is compared with the preset refrigeration equipment monitoring threshold. If the refrigeration equipment monitoring value exceeds the preset refrigeration equipment monitoring threshold, a refrigeration alarm signal for the corresponding refrigeration equipment is generated.

[0028] Compared with the prior art, the beneficial effects of the present invention are:

[0029] 1. In this invention, the mains power status is detected in real time and the power supply is automatically switched to the backup power supply in a timely manner to ensure the continuous operation of the cold storage. Furthermore, the water level and fire situation in each storage space of the cold storage are monitored in real time. When there is no water or fire in the corresponding storage space, the gas situation in each storage space of the cold storage area is monitored and its harmfulness is determined. When a controllable harmfulness signal is generated, the storage effect of each storage space is comprehensively evaluated based on the access control status analysis results and the temperature maintenance performance analysis results. This enables comprehensive monitoring and control of the cold storage, enhances the reliability and safety of the cold storage, and effectively guarantees the storage safety of the stored goods.

[0030] 2. In this invention, the refrigeration equipment is monitored by a refrigeration equipment monitoring unit. The analysis determines whether a refrigeration alarm signal is generated for the corresponding refrigeration equipment. When a refrigeration alarm signal is generated, the corresponding refrigeration equipment is inspected, repaired, or monitored and adjusted in a timely manner. This achieves effective supervision of the refrigeration equipment in the cold storage, ensures the stable and efficient operation of the refrigeration equipment, and helps to further ensure the safe storage of the stored goods in the cold storage. The invention has a high degree of intelligence and automation, which significantly reduces the difficulty of supervising the cold storage. Attached Figure Description

[0031] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings;

[0032] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0033] Figure 2 This is a system block diagram of Embodiment 2 of the present invention. Detailed Implementation

[0034] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0035] Example 1: As Figure 1 As shown, the IoT-based real-time monitoring and alarm system for cold storage proposed in this invention includes a power outage monitoring unit, a water immersion and fire detection unit, an environmental hazard detection and analysis unit, a cold storage storage effect impact analysis unit, an intelligent emergency control unit, and a cold storage management response terminal.

[0036] The power outage monitoring unit monitors the mains power status in real time. When the voltage is less than or equal to 180V or greater than or equal to 260V, it generates a voltage warning and sends it to the cold storage management response terminal through the intelligent emergency control unit. In the event of a complete power outage, it switches to the backup generator through the intelligent emergency control unit, shuts down unnecessary loads, and activates the cold storage door lock. The high level of automation helps reduce the loss of stored goods in the cold storage due to sudden power outages.

[0037] The water immersion and fire detection unit monitors the water level on the floor of each storage space in the cold storage in real time through a distributed water level sensor array. The sensors use capacitive liquid level detection technology (resolution 0.1mm). It also monitors the fire situation in each storage space in real time through smoke detectors. The smoke detectors use the photoelectric scattering principle (sensitivity 0.5% / ft). The unit sends the water immersion and fire information of each storage space in the cold storage to the intelligent emergency control unit. The intelligent emergency control unit performs corresponding control operations and sends corresponding alarm information to the cold storage management response terminal, which helps to ensure the safe storage of the goods in the cold storage.

[0038] It should be noted that when the water immersion and fire detection unit detects that the water level on the ground of the corresponding storage space exceeds 5mm, the intelligent emergency control unit starts the drainage pump (flow rate ≥ 50L / min), shuts down the refrigeration equipment corresponding to the storage space, and sends an alarm to the cold storage management response terminal; when the water immersion and fire detection unit detects a fire in the corresponding storage space, the intelligent emergency control unit starts the heptafluoropropane fire extinguishing system, cuts off the non-fire-fighting power supply, starts the emergency ventilation system, and sends an alarm to the cold storage management response terminal.

[0039] If there is no water damage or fire in the corresponding storage space, the environmental hazard detection and analysis unit monitors the gas conditions in each storage space within the cold storage area and determines their hazard level. Based on this, a hazard alarm signal or a hazard controllable signal is generated for the corresponding storage space. When a hazard alarm signal is generated, the intelligent emergency control unit takes corresponding control actions (e.g., the intelligent emergency control unit starts axial flow fans for forced ventilation in the corresponding storage space) and sends corresponding alarm information to the cold storage management response terminal. This alerts cold storage supervisors to pay close attention to the changing trends of hazard gas in the corresponding storage space and to intervene manually as needed, thereby ensuring the environmental safety of each storage space. Specifically, the specific analysis process of the environmental hazard detection and analysis unit is as follows:

[0040] The system acquires the types of harmful gases that need to be monitored in the cold storage, collects the real-time concentration of various harmful gases (such as refrigerant concentration) in the corresponding storage space, compares the real-time concentration of the corresponding harmful gas with the corresponding preset concentration threshold, and marks the corresponding harmful gas as an excessive gas if the real-time concentration exceeds the corresponding preset concentration threshold. If there is an excessive gas in the corresponding storage space, a harmfulness alarm signal for the corresponding storage space is generated.

[0041] If there is no excessive gas in the corresponding storage space, each type of harmful gas is assigned a set of preset harmful weight values ​​with a value greater than zero. Furthermore, the greater the harm caused by the corresponding type of harmful gas, the greater the value of the preset harmful weight value that matches it.

[0042] The real-time concentration of the corresponding type of hazardous gas is multiplied by the corresponding preset hazardous weight value to obtain the concentration risk characteristic value of the corresponding type of hazardous gas. The concentration risk characteristic values ​​of all types of hazardous gases present in the corresponding storage space are summed and the sum is marked as the hazard coefficient. The hazard coefficient is compared with the preset hazard coefficient threshold. If the hazard coefficient exceeds the preset hazard coefficient threshold, a hazard alarm signal for the corresponding storage space is generated; if the hazard coefficient does not exceed the preset hazard coefficient threshold, a hazard controllable signal for the corresponding storage space is generated.

[0043] When generating a controllable harmful signal, the cold storage effect impact analysis unit analyzes the potential impact of the storage effect on the corresponding storage space, and generates a high or low impact signal for the storage space based on this.

[0044] Specifically, when the cold storage storage effect impact analysis unit receives the access control anomaly symbol ZX-1 or the temperature anomaly symbol WX-1, it generates a high impact signal on the storage efficiency of the corresponding storage space; otherwise, it generates a low impact signal. The high or low impact signal is then sent to the cold storage management response terminal via the intelligent emergency control unit. Upon receiving the high impact signal, the cold storage management response terminal issues a corresponding warning to remind cold storage supervisors to strengthen the monitoring and control of the corresponding storage space and to take appropriate inspection and maintenance measures as needed, thereby further ensuring the storage effect of each storage space in the cold storage and preventing damage to the stored goods.

[0045] Furthermore, the cold storage effect impact analysis unit includes an access control status analysis module and a temperature fluctuation assessment module. The access control status analysis module monitors the opening and closing status of the cold storage doors in the corresponding storage space through a combination of electromagnetic lock status sensors and infrared beam detectors. Based on this, it identifies abnormal opening of the cold storage doors and uses access control status anomaly decision analysis to determine whether to assign an access control anomaly symbol ZX-1. When assigning the access control anomaly symbol ZX-1, it sends it to the cold storage effect impact analysis unit. This not only provides reasonable feedback on the access control status but also provides information support for the analysis process of the cold storage effect impact analysis unit, ensuring the accuracy of its analysis results. The specific analysis process of access control status anomaly decision analysis is as follows:

[0046] The system obtains the number of times the cold storage door corresponding to the corresponding storage space is abnormally opened within a unit of time and marks it as the abnormal opening frequency value. It also marks the total time the corresponding cold storage door is in an abnormally open state within a unit of time as the abnormal opening total time value. The abnormal opening frequency value and the abnormal opening total time value are compared with the preset abnormal opening frequency threshold and the preset abnormal opening total time threshold respectively. If the abnormal opening frequency value or the abnormal opening total time value exceeds the corresponding preset threshold, the access control abnormal symbol ZX-1 is assigned.

[0047] The temperature fluctuation assessment module analyzes the temperature maintenance status within the corresponding storage space. This analysis determines whether to assign a temperature anomaly symbol (WX-1). If WX-1 is assigned, it is sent to the cold storage effect impact analysis unit. This not only provides reasonable feedback on temperature maintenance performance but also supports the analysis process of the cold storage effect impact analysis unit, further ensuring the accuracy of its results. The specific analysis process of the temperature fluctuation assessment module is as follows:

[0048] The real-time temperature in the corresponding storage space is obtained and compared with the corresponding standard storage temperature range. If the real-time temperature is not within the corresponding standard storage temperature range, it indicates that the temperature condition in the corresponding storage space is poor, and the corresponding storage space is judged to be in an unfavorable storage state. The total duration of the corresponding storage space being in an unfavorable storage state per unit time is obtained and marked as the unfavorable storage condition value.

[0049] Furthermore, the storage non-adverse condition value is compared with the preset storage non-adverse condition threshold. If the storage non-adverse condition value exceeds the preset storage non-adverse condition threshold, it indicates that the temperature fluctuation control performance in the corresponding storage space per unit time is poor, which is not conducive to ensuring the storage effect. In this case, the temperature abnormality symbol WX-1 is assigned.

[0050] Furthermore, if the storage unfavorable condition value does not exceed the preset storage unfavorable condition threshold, the difference between the real-time temperature and the median of the corresponding standard storage temperature range is calculated and the absolute value is taken to obtain the temperature adjustment coefficient, and the average of all temperature adjustment coefficients within a unit time is calculated to obtain the temperature control deviation value.

[0051] And obtain all single durations of the corresponding storage space in the storage non-advantage state, mark the number of times the single duration exceeds the preset single duration threshold as the storage high impact frequency, and calculate the temperature fluctuation evaluation value by weighted summation of the storage non-advantage state value, temperature control bias value and storage high impact frequency, that is, assign the storage non-advantage state value, temperature control bias value and storage high impact frequency to the corresponding preset weight coefficients, and multiply the storage non-advantage state value, temperature control bias value and storage high impact frequency by the corresponding preset weight coefficients, and mark the sum of the three sets of product results as the temperature fluctuation evaluation value;

[0052] It should be noted that the larger the temperature fluctuation assessment value, the worse the overall temperature fluctuation control performance within the corresponding storage space per unit time, which is less conducive to ensuring storage performance. The temperature fluctuation assessment value is compared with the preset temperature fluctuation assessment threshold. If the temperature fluctuation assessment value exceeds the preset temperature fluctuation assessment threshold, it indicates that the overall temperature fluctuation control performance within the corresponding storage space per unit time is poor and not conducive to ensuring storage performance. In this case, the temperature anomaly symbol WX-1 is assigned.

[0053] Example 2: Figure 2 As shown, the difference between this embodiment and Embodiment 1 is that the cold storage effect impact analysis unit is connected to the refrigeration equipment monitoring unit. When a low storage efficiency impact signal is generated, the refrigeration equipment monitoring unit monitors the operation of the refrigeration equipment involved in the corresponding storage space and analyzes the data to determine whether to generate a refrigeration alarm signal for the corresponding refrigeration equipment.

[0054] When a refrigeration alarm signal is generated, the intelligent emergency control unit sends corresponding alarm information to the cold storage management response terminal to remind cold storage supervisors to inspect and maintain the relevant refrigeration equipment or strengthen monitoring and timely adjustment. This achieves effective supervision of all refrigeration equipment in the cold storage, ensuring the stable and efficient operation of all refrigeration equipment involved in the cold storage, and further ensuring the safe storage of goods in the cold storage. The specific analysis process of the refrigeration equipment monitoring unit is as follows:

[0055] The refrigeration equipment involved in the corresponding storage space is obtained, and the refrigeration power of the corresponding refrigeration equipment at several detection time points within a unit time is collected. The deviation value of the refrigeration power from the set standard power is marked as the refrigeration operation failure value, and the percentage of detection time points where the refrigeration operation failure value exceeds the preset refrigeration operation failure threshold within a unit time is marked as the power execution failure value.

[0056] Furthermore, the abnormal power execution value is compared with the preset abnormal power execution threshold. If the abnormal power execution value exceeds the preset abnormal power execution threshold, it indicates that the power execution performance of the corresponding refrigeration equipment is poor per unit time. The cause needs to be investigated and corresponding maintenance and improvement measures need to be taken. Then, a refrigeration alarm signal for the corresponding refrigeration equipment is generated.

[0057] If the power execution abnormal value does not exceed the preset power execution abnormal threshold, it indicates that the power execution performance of the refrigeration equipment u is good within a unit time. When the noise decibel value and vibration amplitude value generated by the corresponding refrigeration equipment during operation exceed the corresponding preset threshold, it is determined that it is in the noise and vibration warning state. The total duration of the corresponding refrigeration equipment in the noise and vibration warning state within a unit time is obtained and marked as the noise and vibration warning detection value. The average value of the noise decibel value and the average value of the vibration amplitude value within a unit time are marked as the refrigeration noise detection value and the refrigeration vibration detection value, respectively.

[0058] The monitoring value of the refrigeration equipment is obtained by weighted summation of the noise and vibration early warning detection value, the refrigeration noise detection value, and the refrigeration vibration detection value. Specifically, the noise and vibration early warning detection value, the refrigeration noise detection value, and the refrigeration vibration detection value are each assigned a corresponding preset weight coefficient. The noise and vibration early warning detection value, the refrigeration noise detection value, and the refrigeration vibration detection value are then multiplied by the corresponding preset weight coefficients, and the sum of the three sets of product results is marked as the monitoring value of the refrigeration equipment.

[0059] It should be noted that the higher the value of the refrigeration equipment monitoring value, the more abnormal the operation of the corresponding refrigeration equipment. The monitoring value of the refrigeration equipment is compared with the preset monitoring threshold. If the monitoring value of the refrigeration equipment exceeds the preset monitoring threshold, it indicates that the operation of the corresponding refrigeration equipment is abnormal and needs to be checked and repaired in time. In this case, a refrigeration alarm signal is generated for the corresponding refrigeration equipment.

[0060] The working principle of this invention is as follows: During use, the power interruption monitoring unit monitors the mains power status in real time. In the event of a power outage, it automatically switches to the backup power supply to ensure the continuous operation of the cold storage, enhancing its reliability and safety. Furthermore, the water immersion and fire detection unit monitors the water accumulation and fire conditions in each storage space within the cold storage in real time. If there is no water immersion or fire in the corresponding storage space, the environmental hazard detection and analysis unit monitors the gas conditions in each storage space within the cold storage area and determines their hazard. When a controllable hazard signal is generated, the cold storage effect impact analysis unit comprehensively evaluates the storage effect of each storage space based on the access control status analysis results and temperature maintenance performance analysis results. This invention can monitor key parameters such as water accumulation, fire, hazard gas concentration, access control status, and temperature fluctuations within the cold storage in real time, ensuring timely detection and handling of potential safety hazards. It effectively prevents loss of stored goods and personal injury caused by factors such as water immersion, fire, excessive hazard gases, or abnormal temperature maintenance, thus improving the overall management efficiency of the cold storage and the safety level of stored goods. It boasts a high degree of intelligence and automation.

[0061] In this invention, the threshold, preset value, or preset range settings are for result comparison and analysis to determine whether the result is good or bad. The magnitude of these values ​​is determined by a combination of large-scale model analysis of sample data and human experience, and can also be appropriately adjusted based on seasonal or common-sense influence conditions. Similarly, the preset weight coefficients and influence factors are assigned specific values ​​based on the magnitude of each parameter's influence on the result, ultimately reflecting the impact on the result. These settings are also determined by a combination of large-scale model analysis of sample data and human experience, and can also be appropriately adjusted based on seasonal or common-sense influence conditions.

[0062] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, enabling those skilled in the art to better understand and utilize it. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A real-time monitoring and alarm system for cold storage based on the Internet of Things, characterized in that: It includes a water immersion and fire detection unit, an environmental hazard detection and analysis unit, a cold storage effect impact analysis unit, an intelligent emergency control unit, and a cold storage management response terminal; the water immersion and fire detection unit monitors the water accumulation and fire conditions in each storage space of the cold storage in real time, and sends the water immersion and fire information of each storage space in the cold storage to the intelligent emergency control unit. If there is no water damage or fire in the corresponding storage space, the environmental hazard detection and analysis unit monitors the gas conditions in each storage space in the cold storage area and determines their hazard, thereby generating a hazard alarm signal or a hazard controllable signal for the corresponding storage space. When a hazard controllable signal is generated, the cold storage effect impact analysis unit analyzes the potential impact of the storage effect on the corresponding storage space, thereby generating a high-impact signal or a low-impact signal for the corresponding storage space, and sending the high-impact signal or the low-impact signal to the cold storage management response terminal through the intelligent emergency control unit. The specific analysis process of the environmental hazard detection and analysis unit is as follows: The system identifies the types of harmful gases that need to be monitored in the cold storage, collects the real-time concentration of each harmful gas in the corresponding storage space, compares the real-time concentration of the corresponding harmful gas with the corresponding preset concentration threshold, and marks the corresponding harmful gas as an excessive gas if the real-time concentration exceeds the corresponding preset concentration threshold. If there is excessive gas in the corresponding storage space, a harmfulness alarm signal for the corresponding storage space is generated. If there is no excessive gas in the corresponding storage space, a set of preset harmful weight values ​​is assigned to each type of harmful gas in advance. The real-time concentration of the corresponding type of harmful gas is multiplied by the corresponding preset harmful weight value to obtain the concentration risk characteristic value of the corresponding type of harmful gas. The concentration risk characteristic values ​​of all types of harmful gases in the corresponding storage space are summed and the sum is marked as the harmfulness coefficient. The harmfulness coefficient is compared with the preset harmfulness coefficient threshold. If the harmfulness coefficient exceeds the preset harmfulness coefficient threshold, a harmfulness alarm signal for the corresponding storage space is generated. If the hazard coefficient does not exceed the preset hazard coefficient threshold, a hazard controllable signal for the corresponding storage space is generated. The cold storage effect impact analysis unit includes an access control status analysis module and a temperature fluctuation assessment module. The access control status analysis module monitors the opening and closing status of the cold storage door in the corresponding storage space through a combination of an electromagnetic lock status sensor and an infrared beam detector. Based on this, it identifies when the cold storage door is abnormally opened, and determines whether to assign an access control abnormality symbol ZX-1 through access control status abnormality decision analysis. When assigning the access control abnormality symbol ZX-1, it is sent to the cold storage effect impact analysis unit. The temperature fluctuation assessment module analyzes the temperature maintenance status within the corresponding storage space and determines whether to assign a temperature anomaly symbol WX-1. If a temperature anomaly symbol WX-1 is assigned, it is sent to the cold storage effect impact analysis unit. When the cold storage effect impact analysis unit receives the access control anomaly symbol ZX-1 or the temperature anomaly symbol WX-1, it generates a high storage efficiency impact signal for the corresponding storage space; otherwise, it generates a low storage efficiency impact signal. The specific analysis process for decision analysis of abnormal access control status is as follows: The system obtains the number of times the cold storage door corresponding to the corresponding storage space is abnormally opened within a unit time and marks it as the abnormal opening frequency value. It also marks the total time that the corresponding cold storage door is in an abnormally open state within a unit time as the abnormal opening total time value. The abnormal opening frequency value and the abnormal opening total time value are compared with the preset abnormal opening frequency threshold and the preset abnormal opening total time threshold respectively. If the abnormal opening frequency value or the abnormal opening total time value exceeds the corresponding preset threshold, the access control abnormal symbol ZX-1 is assigned. The specific analysis process of the temperature fluctuation assessment module includes: The system obtains the real-time temperature within the corresponding storage space and compares it with the corresponding standard storage temperature range. If the real-time temperature is not within the corresponding standard storage temperature range, the system determines that the corresponding storage space is in an unfavorable storage state. The system obtains the total duration of the corresponding storage space in an unfavorable storage state per unit time and marks it as the unfavorable storage condition value. The system compares the unfavorable storage condition value with a preset unfavorable storage condition threshold. If the unfavorable storage condition value exceeds the preset unfavorable storage condition threshold, the system assigns a temperature anomaly symbol WX-1. If the storage unfavorable condition value does not exceed the preset storage unfavorable condition threshold, the difference between the real-time temperature and the median of the corresponding standard storage temperature range is calculated and the absolute value is taken to obtain the temperature adjustment coefficient. The average value of all temperature adjustment coefficients within a unit time is calculated to obtain the temperature control deviation value. And obtain all single durations of the corresponding storage space in the storage non-advantage state, mark the number of times the single duration exceeds the preset single duration threshold as the storage high impact frequency, calculate the temperature fluctuation evaluation value by weighted summation of the storage non-advantage state value, temperature control bias value and storage high impact frequency, compare the temperature fluctuation evaluation value with the preset temperature fluctuation evaluation threshold, and assign the temperature anomaly symbol WX-1 if the temperature fluctuation evaluation value exceeds the preset temperature fluctuation evaluation threshold; The cold storage effect impact analysis unit is connected to the refrigeration equipment monitoring unit. When a low storage efficiency impact signal is generated, the refrigeration equipment monitoring unit monitors the operation of the refrigeration equipment involved in the corresponding storage space. The analysis determines whether to generate a refrigeration alarm signal for the corresponding refrigeration equipment. When a refrigeration alarm signal is generated, the intelligent emergency control unit sends the corresponding alarm information to the cold storage management response end. The specific analysis process of the refrigeration equipment monitoring unit is as follows: The system acquires the refrigeration equipment involved in the corresponding storage space, collects the refrigeration power of the corresponding refrigeration equipment at several detection time points within a unit time, marks the deviation of the refrigeration power from the set standard power as the refrigeration operation failure value, and marks the percentage of detection time points where the refrigeration operation failure value exceeds the preset refrigeration operation failure threshold within a unit time as the power execution failure value. The power execution failure value is compared with the preset power execution failure threshold. If the power execution failure value exceeds the preset power execution failure threshold, a refrigeration alarm signal for the corresponding refrigeration equipment is generated. If the power execution abnormal value does not exceed the preset power execution abnormal threshold, then when the noise decibel value and vibration amplitude value generated by the corresponding refrigeration equipment during operation exceed the corresponding preset threshold, it is determined that it is in a noise and vibration warning state. The total duration of the corresponding refrigeration equipment in the noise and vibration warning state within a unit time is obtained and marked as the noise and vibration warning detection value. The average value of the noise decibel value and the average value of the vibration amplitude value within a unit time are marked as the refrigeration noise detection value and the refrigeration vibration detection value, respectively. The refrigeration equipment monitoring value is obtained by weighted summation of the noise and vibration warning detection value, the refrigeration noise detection value, and the refrigeration vibration detection value. The refrigeration equipment monitoring value is compared with the preset refrigeration equipment monitoring threshold. If the refrigeration equipment monitoring value exceeds the preset refrigeration equipment monitoring threshold, a refrigeration alarm signal for the corresponding refrigeration equipment is generated.

2. The IoT-based real-time monitoring and alarm system for cold storage as described in claim 1, characterized in that, The intelligent emergency control unit is also connected to the power outage monitoring unit. The power outage monitoring unit detects the mains power status in real time. When the voltage is less than or equal to 180V or greater than or equal to 260V, it generates a voltage warning message and sends it to the cold storage management response terminal through the intelligent emergency control unit. In the event of a complete power outage, the intelligent emergency control unit switches to the backup generator, shuts down unnecessary loads, and activates the cold storage door access lock.

3. The IoT-based real-time monitoring and alarm system for cold storage as described in claim 1, characterized in that, When the water immersion and fire detection unit detects that the water level on the ground of the corresponding storage space exceeds 5mm, the intelligent emergency control unit starts the drainage pump, shuts down the refrigeration equipment corresponding to the storage space, and sends an alarm to the cold storage management response terminal; when the water immersion and fire detection unit detects a fire in the corresponding storage space, the intelligent emergency control unit starts the heptafluoropropane fire extinguishing system, cuts off the non-fire-fighting power supply, starts the emergency ventilation system, and sends an alarm to the cold storage management response terminal; when the environmental hazard detection and analysis unit generates a hazard alarm signal for the corresponding storage space, the intelligent emergency control unit starts the axial flow fan for forced ventilation of the corresponding storage space and sends an alarm to the cold storage management response terminal.

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