A low-temperature electric field assisted intelligent cold storage multi-temperature zone cooperative regulation system and method

Abstract

This application relates to the field of temperature control technology, specifically to a low-temperature electric field-assisted intelligent cold storage multi-temperature zone coordinated control system and method, solving the technical problem of multi-temperature zone load competition caused by the difficulty in cross-zone coordination of electric field process timing and refrigerant resources. The method includes: acquiring the operating parameters of the electric fields in each preservation zone and quick-freezing zone; determining the pre-cooling cold capacity demand based on thermal response characteristic parameters, cooling capacity coefficient, pulse duration, real-time storage temperature, and spoilage limit temperature; determining the actual allocated cold capacity for each preservation zone and identifying high-risk preservation zones with cold capacity deficits after allocation when the total pre-cooling cold capacity demand exceeds the maximum available cold capacity; determining the electric field trigger delay time based on the total cold capacity deficit of high-risk preservation zones and available net refrigeration power; and controlling the variable frequency compressor, the quick-freezing zone electric field, and the electronic expansion valves of each preservation zone to perform cross-zone coordinated control based on the actual allocated cold capacity and the electric field trigger delay time.

Description

Technical Field

[0001] This application relates to the field of temperature control technology, specifically to a low-temperature electric field-assisted intelligent cold storage multi-temperature zone coordinated control system and method. Background Technology

[0002] In modern chilled meat processing enterprises, to improve freezing quality and reduce equipment procurement costs and factory floor space, a multi-warehouse cold chain system consisting of a shared variable frequency compressor and parallel piping is typically used. Under this architecture, the quick-freezing zone, which performs the low-temperature electric field-assisted quick-freezing process, and multiple preservation zones responsible for storing chilled meat simultaneously rely on a main pipeline for refrigerant supply. A high-voltage pulsed electric field induces the nucleation of water within the meat to improve the freezing effect. However, in the initial stage of the electric field-induced phase change, a high-intensity peak in refrigeration load is generated. To handle this sudden load, the electronic expansion valve in the quick-freezing zone opens significantly, triggering a large-scale competition for refrigerant diversion from the main piping network to the quick-freezing zone.

[0003] In existing technologies, conventional refrigeration control systems typically employ passive, feedback-based thermostatic control logic to respond to temperature deviations when facing large-flow-rate distribution. This logic maintains stable pipeline pressure and protects the compressor by issuing commands to reduce the valve openings of parallel fresh-keeping zones. However, due to the physical limit on the maximum refrigeration power of variable-frequency compressors and the lack of predictability in the timing of the electric field process in the quick-freezing zone, the system cannot pre-allocate and reserve sufficient cooling capacity to withstand the temperature rise caused by limited cooling during the electric field process. This can easily lead to some fresh-keeping zones with higher loads or poorer insulation exceeding the legally mandated spoilage temperature limit for chilled meat during flow restriction periods, posing a food safety hazard. Therefore, avoiding multi-temperature zone load competition caused by the difficulty in coordinating electric field process timing and refrigerant resources across zones has become a pressing technical problem that needs to be solved. Summary of the Invention

[0004] To address the technical problem of multi-temperature zone load competition caused by the difficulty in coordinating electric field process timing and refrigerant resources across regions, this application aims to provide a method for coordinated multi-temperature zone control of intelligent cold storage assisted by a low-temperature electric field. The specific technical solution adopted is as follows: Acquire the thermal response characteristic parameters, cooling capacity coefficient, available net refrigeration power, real-time storage temperature, pulse trigger countdown and pulse duration of the electric field in the quick-freezing zone for each preservation area; Based on thermal response characteristic parameters, cooling capacity coefficient, pulse duration, real-time storage temperature, and spoilage limit temperature, the pre-cooling capacity requirement of each preservation zone due to limited cooling supply during the pulse duration is determined. When the total pre-cooling demand of each preservation zone exceeds the limit of the total available cooling capacity determined based on the available net cooling power and the pulse trigger countdown, an asymmetric allocation strategy is adopted to determine the actual allocated cooling capacity of each preservation zone and to identify high-risk preservation zones with cooling capacity gaps after allocation. The electric field triggering delay time requested from the quick-freezing zone is determined based on the total cold energy deficit of the high-risk preservation zone and the available net refrigeration power. Based on the actual allocation of cooling capacity and the delay time of electric field triggering, the variable frequency compressor, the electric field of the quick-freezing zone, and the electronic expansion valves of each preservation zone are controlled to perform cross-zone coordinated regulation.

[0005] In one possible implementation, the thermal response characteristic parameters, cooling capacity coefficient, and available net cooling power of each preservation zone are obtained, including: extracting temperature rise data and corresponding ambient temperature difference of each preservation zone under shutdown and power outage conditions from historical operation logs, and determining the thermal response characteristic parameters based on the ratio of temperature rise data to ambient temperature difference; extracting cooling rate data and corresponding actual output cooling capacity of each preservation zone under maximum cooling conditions, and determining the cooling capacity coefficient based on the ratio of actual output cooling capacity to cooling rate data; obtaining the current external ambient temperature and real-time storage temperature, and determining the heat leakage compensation power based on the difference between the external ambient temperature and real-time storage temperature, the thermal response characteristic parameters, and the cooling capacity coefficient; and deducting the sum of the heat leakage compensation power of all preservation zones from the maximum cooling power of the variable frequency compressor to determine the available net cooling power.

[0006] In one possible implementation, the method further includes: when a shutdown operation log that meets preset conditions cannot be extracted within a set historical data time window, retrieving the pre-stored default thermal conductivity and nominal load to generate corresponding thermal response characteristic parameters and cooling capacity coefficient; before determining the cooling capacity coefficient based on the ratio of actual output cooling capacity to cooling rate data, comparing the cooling rate data with a preset effective cooling rate lower limit threshold; when the cooling rate data is less than the lower limit threshold, using the lower limit threshold to replace the actual cooling rate data for subsequent calculations; after determining the available net cooling power, comparing it with a preset safety baseline value; when the available net cooling power is less than or equal to the safety baseline value, triggering a pipeline overload alarm and issuing a process fuse command to the electric field controller of the quick-freezing zone.

[0007] In one possible implementation, the pre-cooling capacity requirement of each preservation zone due to limited cooling supply during the pulse duration is determined, including: determining the expected temperature rise during the supply interruption period based on the pulse duration and thermal response characteristic parameters; determining the pre-corrosion prevention temperature based on the difference between the upper limit temperature for spoilage and the expected temperature rise during the supply interruption period; and determining the pre-cooling capacity requirement based on the difference between the real-time storage temperature and the pre-corrosion prevention temperature, as well as the cooling capacity coefficient for cooling.

[0008] In one possible implementation, an asymmetric allocation strategy is used to determine the actual allocated cooling capacity for each preservation zone, including: determining a set to be allocated; the set to be allocated includes preservation zones with pre-cooling cooling capacity requirements greater than zero; using the maximum available total cooling capacity as the current remaining resource, iteratively executing the resource allocation process: determining the ratio of the current remaining resource to the quantity of the set to be allocated as the average quota limit; allocating resources to preservation zones with demands less than or equal to the average quota limit to meet the demand of that preservation zone; updating the current remaining resource and deleting the preservation zones with allocated resources from the set to be allocated; until the demand of all remaining preservation zones in the set to be allocated is greater than the current average quota limit, the current remaining resource is equally distributed to the remaining preservation zones to determine the actual allocated cooling capacity for each preservation zone.

[0009] In one possible implementation, identifying high-risk preservation zones with cold energy deficits after allocation includes: determining the actual temperature drop based on the ratio of the actual allocated cold energy to the cooling requirement coefficient for each preservation zone; determining the starting temperature based on the difference between the real-time storage temperature and the actual temperature drop; determining the maximum temperature at the end of the supply interruption period based on the sum of the starting temperature and the expected temperature rise during the supply interruption period; and identifying preservation zones where the maximum temperature at the end of the supply interruption period exceeds the spoilage limit temperature as high-risk preservation zones.

[0010] In one possible implementation, the electric field triggering delay time requested from the quick-freezing zone is determined based on the sum of the cold energy gaps in the high-risk preservation zones and the available net refrigeration power. This includes: determining the cold energy gaps in each high-risk preservation zone based on the difference between the highest temperature at the end of the supply interruption period and the upper limit temperature of spoilage, as well as the cooling energy coefficient; summing the cold energy gaps in all high-risk preservation zones to obtain the total cold energy gaps; and dividing the total cold energy gaps by the available net refrigeration power to obtain the electric field triggering delay time.

[0011] In one possible implementation, based on the actual allocated cooling capacity and the electric field trigger delay time, the variable frequency compressor, the electric field of the quick-freezing zone, and the electronic expansion valves of each preservation zone are controlled to perform cross-zone coordinated regulation. This includes: adding the cooling capacity gap of each high-risk preservation zone to its actual allocated cooling capacity to update the actual allocated cooling capacity; determining the pre-cooling degree based on the ratio of the updated actual allocated cooling capacity to the cooling capacity coefficient for cooling; determining the theoretical target temperature based on the difference between the real-time storage temperature and the pre-cooling degree; when the theoretical target temperature is lower than the minimum set temperature allowed by the hardware, the minimum set temperature allowed by the hardware is used as the electromechanical target temperature; when the theoretical target temperature is equal to or higher than the minimum set temperature allowed by the hardware, the theoretical target temperature is used as the electromechanical target temperature; sending the electromechanical target temperature to the thermostat controller of each preservation zone to control the opening of the electronic expansion valve for pre-cooling; adding the pulse trigger countdown to the electric field trigger delay time to obtain the actual countdown, and sending the actual countdown to the electric field controller of the quick-freezing zone.

[0012] In one possible implementation, the method further includes: monitoring the actual countdown; when the actual countdown reaches zero, issuing a flow-limiting command to each preservation zone to forcibly limit the opening of the electronic expansion valve in each preservation zone to a preset minimum warning opening; starting a timer, comparing the accumulated timer duration with the pulse duration; when the accumulated time reaches the pulse duration, issuing a permission reset command to each preservation zone to restore the autonomous adjustment permission of the electronic expansion valve, clear the electromechanical target temperature, and reload the conventional constant temperature control parameters.

[0013] This application also provides a low-temperature electric field-assisted intelligent cold storage multi-temperature zone coordinated control system, including: The data acquisition unit is used to acquire the thermal response characteristic parameters, cooling capacity coefficient, available net refrigeration power, real-time storage temperature, pulse trigger countdown and pulse duration of the electric field in the quick-freezing zone for each preservation area. The demand forecasting unit is used to determine the pre-cooling demand of each preservation zone due to limited cooling supply during the pulse duration, based on thermal response characteristic parameters, cooling capacity coefficient, pulse duration, real-time storage temperature, and spoilage limit temperature. The resource coordination unit is used to determine the actual allocated cold capacity of each preservation zone when the total pre-cooling cold capacity demand of each preservation zone exceeds the limit of the total available cold capacity determined based on the available net refrigeration power and the pulse trigger countdown. It also identifies high-risk preservation zones with cold capacity gaps after allocation. The clock coordination unit is used to determine the electric field trigger delay time requested from the quick-freezing zone based on the total cold energy deficit of the high-risk preservation zone and the available net refrigeration power. The control and execution unit is used to control the variable frequency compressor, the electric field of the quick-freezing zone, and the electronic expansion valves of each preservation zone to perform cross-zone coordinated regulation based on the actual allocation of cooling capacity and the electric field trigger delay time.

[0014] This application offers the following advantages: By acquiring the thermal response characteristic parameters and cooling capacity coefficients of each preservation zone, it achieves a precise characterization of the warehouse's thermodynamic properties; by determining the pre-cooling capacity demand based on pulse duration and the upper limit of spoilage temperature, it transforms the threat of limited cooling supply during the electric field process into a defensive cooling capacity indicator that must be reserved; by employing an asymmetric allocation strategy to allocate resources differently in cooling capacity-constrained scenarios, it prioritizes the preservation of low-demand preservation zones and concentrates cooling capacity to fill high-risk gaps; by inversely converting the cooling capacity gap into the electric field trigger delay duration, it constructs a cross-equipment collaborative defense interlocking mechanism for cooling capacity mathematical quotas and physical process clocks; and finally, by controlling the variable frequency compressor, electric field, and electronic expansion valve to perform cross-zone collaborative regulation, it effectively avoids overheating and spoilage in the preservation zone during the electric field process while ensuring the safe operation of the compressor. Based on this, this application solves the problem of multi-temperature zone load competition caused by the difficulty in cross-zone coordination of electric field process timing and refrigerant resources in existing technologies, achieving maximum survival rate of multi-temperature zones under limited refrigeration resources and safe and controllable hardware execution closed-loop. Attached Figure Description

[0015] To more clearly illustrate the technical solutions and advantages in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 A flowchart illustrating a low-temperature electric field-assisted intelligent cold storage multi-temperature zone coordinated control method provided in one embodiment of this application; Figure 2 This is a schematic diagram of the system architecture of a low-temperature electric field-assisted intelligent cold storage multi-temperature zone coordinated control system provided in one embodiment of this application. Detailed Implementation

[0017] To further illustrate the technical means and effects adopted by this application to achieve the intended purpose of the invention, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of a low-temperature electric field-assisted intelligent cold storage multi-temperature zone coordinated control system and method proposed in this application. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0018] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains.

[0019] The following description, in conjunction with the accompanying drawings, details the specific scheme of the low-temperature electric field-assisted intelligent cold storage multi-temperature zone coordinated control method provided in this application.

[0020] Please see Figure 1 It illustrates a flowchart of a low-temperature electric field-assisted intelligent cold storage multi-temperature zone coordinated control method according to an embodiment of this application, as shown below. Figure 1 As shown, the method includes the following steps: Step 101: Obtain the thermal response characteristic parameters, cooling capacity coefficient, available net refrigeration power, real-time storage temperature, pulse trigger countdown and pulse duration of the electric field in the quick-freezing zone for each preservation zone.

[0021] Among them, the thermal response characteristic parameter is used to characterize the comprehensive temperature response characteristics of the fresh-keeping area under the combined effects of environmental heat leakage and thermal inertia in the absence of refrigerant supply; the cooling demand coefficient is used to characterize the actual cooling energy consumed per unit temperature drop in the fresh-keeping area under a specific loading capacity; the available net cooling power is the remaining pure cooling capacity after deducting all heat leakage compensation power of the fresh-keeping area from the maximum cooling power of the variable frequency compressor; the real-time storage temperature is the air temperature collected in real time inside the fresh-keeping area; the pulse trigger countdown is the time interval remaining before the next high-voltage electric field pulse officially starts, which constitutes the available time window for the system to schedule the compressor to perform early cooling; the pulse duration is the time span of high-power heat release of the electric field pulse, which characterizes the estimated duration for which the fresh-keeping area is forced into a state of limited cooling supply in subsequent crises.

[0022] It should be noted that the above parameters form the data foundation for cross-regional coordinated control. Thermal response characteristic parameters and cooling capacity coefficients reflect the inherent thermodynamic characteristics of the warehouse; available net refrigeration power reflects the system's current refrigeration supply capacity; and pulse trigger countdown and pulse duration reflect the temporal threat posed by the electric field process in the quick-freezing zone to the cooling supply in the fresh-keeping zone. By obtaining these parameters, the system can establish a three-dimensional integrated model of "demand-supply-time" before the actual triggering of the electric field process, laying the foundation for subsequent calculation of pre-cooling capacity requirements and resource allocation.

[0023] Step 102: Based on the thermal response characteristic parameters, cooling capacity coefficient, pulse duration, real-time storage temperature, and upper limit temperature of spoilage, determine the pre-cooling capacity requirement of each preservation zone due to limited cooling supply within the pulse duration.

[0024] Among them, the pre-cooling cold capacity requirement is the total amount of defensive refrigeration energy that each preservation area must reserve in advance to resist the threat of temperature rise caused by limited cooling during the pulse duration before the crisis arrives; the upper limit temperature of spoilage is the critical point of the legally mandated maximum storage temperature of the pre-stored chilled meat as stipulated by the food safety standards.

[0025] Optionally, in this step, the system first estimates the inevitable temperature rise during the supply interruption based on thermal response characteristic parameters and pulse duration. Then, combining this with the upper limit temperature for spoilage, it derives the safe temperature threshold that must be reached before the start of the supply interruption to ensure that the limit is not exceeded at the end of the interruption. Finally, based on the difference between the real-time storage temperature and the safe temperature threshold, and the cooling capacity coefficient, it quantifies the pre-cooling capacity requirement that must be executed immediately. This transforms the heat leakage threat during the future supply interruption into an actionable refrigeration task indicator, realizing a strategic shift from passive temperature rise response to active cooling capacity reserve.

[0026] Step 103: When the total pre-cooling capacity demand of each preservation zone exceeds the limit of the total available cooling capacity determined based on the available net cooling power and the pulse trigger countdown, an asymmetric allocation strategy is adopted to determine the actual allocated cooling capacity of each preservation zone, and high-risk preservation zones with cooling capacity gaps after allocation are identified.

[0027] Among them, the maximum available total cooling capacity is the sum of the maximum cooling energy that can be produced by the available net cooling power within the current pulse trigger countdown time window; the asymmetric allocation strategy is a differentiated allocation mechanism that prioritizes fully meeting the needs of the less demanding fresh-keeping areas and concentrates the limited cooling capacity to the high-risk fresh-keeping areas; the actual allocated cooling capacity is the share of anti-corrosion cooling capacity that each fresh-keeping area is actually allowed to extract after scheduling by the asymmetric allocation algorithm; the high-risk fresh-keeping area is the fresh-keeping area that still has a residual cooling capacity gap after asymmetric allocation and faces the risk of overheating and spoilage.

[0028] In some embodiments, the system first compares total demand with total supply to determine whether a cooling capacity shortage has occurred. When a shortage is detected, the system does not use the traditional proportional reduction allocation method, but instead introduces an asymmetric allocation strategy (such as a maximum-minimum fair allocation logic). Using a strict greater-than-zero pre-cooling demand as an inclusion condition, and through an iterative equalization and elimination mechanism, it prioritizes preserving the full demand of low-demand preservation zones, concentrating the remaining resources on high-demand, high-risk preservation zones, thereby maximizing the number of preservation zones that are spared from overheating. Subsequently, by comparing the actual temperature drop after allocation with the expected temperature rise, the system identifies high-risk preservation zones that still have a cooling gap after allocation, providing target objects for subsequent time compensation mechanisms.

[0029] Step 104: Determine the electric field trigger delay time requested from the quick-freezing zone based on the total cold energy deficit of the high-risk preservation zone and the available net refrigeration power.

[0030] Among them, the total cold energy gap is the cumulative value of the remaining cold energy gap caused by the limited allocation of all high-risk preservation areas; the electric field trigger delay time is the time compensation amount calculated by dividing the total cold energy gap by the available net refrigeration power, which is used to apply to the quick-freezing area to postpone the electric field pulse trigger time in order to gain additional cold energy production time.

[0031] In some embodiments, for high-risk preservation zones that cannot be satisfied even after asymmetric allocation, the system abandons the dangerous practice of forcibly overloading hardware. Instead, it reverses the cooling capacity gap at the algorithm level into a process clock extension on the time axis. This mechanism, by converting the mathematical quota gap into a physical clock delay, achieves additional cooling capacity compensation for high-risk preservation zones without exceeding the physical limit of cooling power, thus constructing a cross-device collaborative defense interlock for cooling capacity allocation and process scheduling.

[0032] Step 105: Based on the actual allocation of cooling capacity and the electric field trigger delay time, control the variable frequency compressor, the electric field of the quick-freezing zone, and the electronic expansion valves of each preservation zone to perform cross-zone coordinated regulation.

[0033] Optionally, the system sends the electric field trigger delay time to the electric field controller in the quick-freezing zone to extend the process clock. Simultaneously, it converts the actual allocated cooling capacity into an electromechanical target temperature and sends it to the thermostats in each preservation zone to drive the electronic expansion valves. It also coordinates the variable frequency compressors to operate at full speed to deliver cooling capacity to each preservation zone within the extended time window. Through this cross-zone collaborative control, the system forcibly avoids peak cooling capacity competition between multiple temperature zones while ensuring the compressor's safe return gas pressure, effectively mitigating the risk of spoilage in chilled meat.

[0034] Based on the above technical solutions, this application achieves a precise characterization of the warehouse's thermodynamic properties by acquiring the thermal response characteristic parameters and cooling capacity coefficients of each preservation zone; it transforms the threat of limited cooling capacity during the electric field process into a defensive cooling capacity indicator that must be reserved by determining the pre-cooling capacity demand based on the pulse duration and the upper limit temperature of spoilage; it adopts an asymmetric allocation strategy to allocate resources differently in the case of limited cooling capacity, prioritizing the preservation of low-demand preservation zones and concentrating cooling capacity to fill high-risk gaps; it constructs a cross-equipment collaborative defense interlocking mechanism of cooling capacity mathematical quota and physical process clock by inversely converting the cooling capacity gap into the electric field trigger delay duration; and it effectively avoids overheating and spoilage in the preservation zone during the electric field process by controlling the variable frequency compressor, electric field, and electronic expansion valve to perform cross-zone collaborative regulation, ensuring the safe operation of the compressor. Based on this, this application solves the problem of multi-temperature zone load competition caused by the difficulty in cross-zone coordination of electric field process timing and refrigerant resources in the prior art, and achieves the maximization of multi-temperature zone survival rate and safe and controllable hardware execution closed-loop under the condition of limited refrigeration resources.

[0035] In one possible implementation, this embodiment provides a specific method for obtaining the thermal response characteristic parameters, cooling requirement coefficient, and available net cooling power of each preservation zone, as well as a boundary protection mechanism for data loss, calculation anomalies, and system overload, specifically including: Step 201: Extract the temperature rise data and corresponding ambient temperature difference of each preservation zone under shutdown and power outage conditions from the historical operation log. Determine the thermal response characteristic parameters based on the ratio of the temperature rise data to the ambient temperature difference. Extract the cooling rate data and corresponding actual output cooling capacity of each preservation zone under maximum cooling conditions. Determine the cooling demand coefficient based on the ratio of the actual output cooling capacity to the cooling rate data.

[0036] Specifically, to obtain thermal response characteristic parameters, the system initiates a log extraction request to the database to retrieve shutdown operation logs for each preservation zone where the electronic expansion valve has been fully closed for a duration exceeding a preset time within a set historical data time window, and where no evaporator defrosting action has occurred. If valid logs are successfully extracted, the system obtains the average temperature rise slope (temperature increase per unit time) during the shutdown period and the average temperature difference between the inside and outside environment of the preservation zone during that period. The average temperature rise slope is divided by the average temperature difference to calculate the thermal response characteristic parameters. This parameter is not a single adiabatic coefficient, but a comprehensive thermal response characteristic parameter that integrates the heat leakage effect of the warehouse enclosure structure and the thermal inertia buffering effect of the meat products inside the warehouse. It should be noted that when the ambient temperature difference is zero or close to zero, a preset minimum temperature difference threshold (such as 0.1℃, which can be determined, for example, based on the accuracy level of the temperature sensor and the thermal inertia coefficient of the warehouse enclosure structure) is used instead of calculation, or the data for that period is skipped.

[0037] To obtain the cooling load coefficient, the system extracts the continuous cooling operation logs of each preservation zone under the maximum opening load state of the electronic expansion valve within the same time window, obtains the actual temperature drop rate during the cooling phase, and retrieves the actual average output cooling capacity of the variable frequency compressor allocated to the evaporator of the preservation zone during the phase.

[0038] It should be noted that before determining the cooling capacity coefficient based on the ratio of the actual output cooling capacity to the cooling rate data, the cooling rate data is compared with the preset effective cooling rate lower limit threshold. When the cooling rate data is less than the lower limit threshold, the lower limit threshold is used to replace the actual cooling rate data for subsequent calculations.

[0039] For example, the preset effective cooling rate lower limit threshold can be set to 0.01℃ / min, which can be determined based on the ratio of the warehouse's thermal inertia time constant to the monitoring sampling period, or based on the average cooling rate over multiple past refrigeration cycles. After the system completes the comparison, it divides the actual average output cooling capacity by this cooling rate (or the lower limit threshold value) to calculate the actual cooling energy required to lower the temperature per unit area in the fresh-keeping area under a specific loading capacity, i.e., the cooling energy requirement coefficient. The larger this coefficient, the more difficult it is to cool the warehouse, and the more refrigerant resources are required.

[0040] Step 202: Obtain the current external ambient temperature and real-time storage temperature. Based on the difference between the external ambient temperature and the real-time storage temperature, thermal response characteristic parameters, and cooling capacity coefficient, determine the heat leakage compensation power. Subtract the sum of the heat leakage compensation power of all preservation areas from the maximum cooling power of the variable frequency compressor to determine the available net cooling power.

[0041] Specifically, the system reads the external ambient temperature through external weather sensors, reads the real-time temperature of each preservation zone, and calculates the difference between the external ambient temperature and the real-time storage temperature (ambient temperature difference). This ambient temperature difference is multiplied by the thermal response characteristic parameter of the corresponding preservation zone to obtain the natural temperature rise rate of the storage room. Then, this natural temperature rise rate is multiplied by the cooling capacity coefficient to calculate the continuous cooling power required to offset external heat leakage and maintain the current temperature from rising, i.e., the heat leakage compensation power.

[0042] For example, heat leakage compensation power Satisfy the following formula: in, Indicates the first Each preservation zone's heat leakage compensation cooling power; Indicates the external ambient temperature; Indicates the first Real-time temperature of each preservation area; This represents the thermal response characteristic parameter of the i-th preservation zone; Indicates the first The cooling capacity coefficient for each preservation zone. This formula quantifies the basic refrigeration power required to maintain the current storage temperature by multiplying the ambient temperature difference, thermal response characteristic parameters, and cooling capacity coefficient.

[0043] After determining the available net cooling power, it is compared with the preset safety baseline value. When the available net cooling power is less than or equal to the safety baseline value, a pipeline overload alarm is triggered and a process fuse command is sent to the electric field controller of the quick-freezing zone.

[0044] Specifically, the system sums up the heat leakage compensation power for all preservation zones, subtracts this sum from the maximum cooling power of the inverter compressor, and obtains the usable net cooling power. Subsequently, on Perform a sign determination on the numerical value and compare it with a preset net power safety baseline value (this baseline value is a very small constant greater than zero, for example, set to 1% of the rated maximum power of the variable frequency compressor). If If the value is less than or equal to the safety baseline, it indicates that the current external environment is under extreme high temperature conditions, and the cooling capacity generated by the unit is insufficient to maintain the current storage temperature, resulting in a severe overload of the piping network. In this case, the system directly triggers a piping network overload alarm, stops the subsequent pre-cooling capacity calculation, and forcibly issues a process fuse command to the electric field controller in the quick-freezing zone, terminating the current electric field scheduling and thus preventing piping network collapse.

[0045] In addition, if a shutdown operation log that meets the preset conditions cannot be extracted within the set historical data time window, the pre-stored default thermal conductivity and nominal load are retrieved to generate the corresponding thermal response characteristic parameters and cooling capacity coefficient.

[0046] Specifically, if no shutdown log showing the system continuously operating with the electronic expansion valve fully closed for more than 30 minutes without defrosting is retrieved within the set time window (e.g., the last 7 days), the system triggers the default cold start strategy. The system retrieves the pre-stored standard thermal conductivity of chilled meat and the nominal loading capacity of the warehouse from the local database, and generates default thermal response characteristic parameters and default cooling capacity coefficients based on empirical engineering formulas to ensure that subsequent calculations are not interrupted due to data loss. Optionally, the default thermal response characteristic parameters and default cooling capacity coefficients can be directly adopted from historical averages of similar warehouses.

[0047] Based on the above technical solutions, this embodiment achieves accurate calibration of the warehouse's thermodynamic characteristics by combining historical log extraction with real-time environmental perception; it avoids calculation anomalies caused by cooling stagnation or sensor failure through zero-prevention logic in the denominator; and it ensures system safety by promptly terminating the electric field process when the pipeline network is severely overloaded through an overload protection mechanism. This solves the reliability problems of data loss, calculation anomalies, and system overload during parameter acquisition, providing high-quality data input and boundary safety protection for the cross-regional collaborative control in Embodiment 1.

[0048] In one possible implementation, this embodiment also provides a specific implementation method for determining the pre-cooling cold capacity requirements of each preservation zone, specifically including: Step 301: Determine the expected temperature rise during the power outage period based on the pulse duration and thermal response characteristic parameters.

[0049] Optionally, the system extracts the pulse duration. With thermal response characteristic parameters And the ambient temperature difference determined by the external ambient temperature and the real-time warehouse temperature. First, calculate the natural temperature rise rate of the warehouse. After that, the duration of the pulse will be... Compared with the natural temperature rise rate of the warehouse Multiply by this to calculate the inevitable temperature rise in the refrigeration zone during the upcoming cooling shortage period due to the loss of sufficient cooling support; this is the expected temperature rise during the cooling shortage period. .

[0050] For example, the expected warming of the supply disruption period Satisfy the following formula: = This formula quantifies the cumulative effect of environmental heat leakage on the preservation zone over a specific time period by multiplying the time-series parameters with the thermal response characteristic parameters.

[0051] Step 302: Determine the pre-corrosion temperature based on the difference between the upper limit temperature for corrosion and the expected temperature rise during the supply interruption period.

[0052] Specifically, the system retrieves the maximum spoilage temperature corresponding to the current batch of chilled meat stored in the preservation area from the local food safety database. Use the upper limit temperature for corruption. Subtracting the expected warming of the supply disruption period This calculation yielded a more stringent lower limit for the temperature, namely the pre-corrosion temperature. This temperature value represents the safe temperature baseline that the freshness zone must be lowered to at the start of the supply disruption in order to ensure that the internal temperature of the meat does not exceed the upper limit of spoilage at the end of the supply disruption period.

[0053] Step 303: Determine the pre-cooling cooling capacity requirement based on the difference between the real-time storage temperature and the pre-corrosion temperature, as well as the cooling capacity coefficient.

[0054] Specifically, the system extracts the real-time temperature of the current preservation area. Using this real-time storage temperature Subtract the pre-corrosion temperature The specific temperature gap that the current preservation zone must continue to decrease in order to reach the preservation standard is calculated. This temperature gap is then multiplied by the cooling capacity coefficient. The total amount of refrigeration energy that the preservation area needs to pre-inject from the pipeline network to withstand this crisis, i.e., the pre-cooling capacity requirement, is calculated. .

[0055] It should be noted that, considering that the temperature in some preservation areas may already be low enough before the crisis, even with the expected temperature rise during the supply disruption period, it may not reach the spoilage limit temperature. In this case, the calculated pre-cooling demand will be negative. To ensure the logical consistency between the subsequent accumulation of total demand and the allocation of cooling capacity, the system determines the value of the calculated pre-cooling demand as positive or negative: if the pre-cooling demand is determined to be less than zero, the system forces its value to be zero; if it is greater than or equal to zero, the original value is retained.

[0056] Based on the above technical solution, this embodiment proactively quantifies the inevitable temperature rise during periods of limited cooling by combining pulse duration with thermal response characteristic parameters; it establishes a safe temperature defense line that must be reached before a crisis occurs by calculating the difference between the upper limit of spoilage temperature and the expected temperature rise; and it transforms the temperature gap into specific cooling energy demand by comparing the real-time storage temperature with the safe defense line and converting the cooling capacity coefficient. This calculation chain transforms the future temperature rise threat into a currently executable cooling capacity reserve task, providing a precise demand-side reconciliation benchmark for resource coordination in Embodiment 1, and realizing a strategic shift from passive response to proactive defense.

[0057] This embodiment provides a specific implementation method for determining the actual allocation of cold energy, identifying high-risk preservation zones, and determining the electric field trigger delay time in scenarios where cold energy supply and demand are limited. The details are as follows: In one possible implementation, the process of determining the actual allocated cooling capacity includes: determining a set to be allocated, which includes fresh-keeping zones with pre-cooling demand greater than zero; using the maximum available total cooling capacity as the current remaining resource, iteratively executing the resource allocation process: determining the ratio of the current remaining resource to the quantity of the set to be allocated as the average quota limit; allocating resources to fresh-keeping zones with demand less than or equal to the average quota limit to meet their demand; updating the current remaining resource and deleting fresh-keeping zones with allocated resources from the set to be allocated; until the demand of all remaining fresh-keeping zones in the set to be allocated is greater than the current average quota limit, the current remaining resource is equally distributed among the remaining fresh-keeping zones to determine the actual allocated cooling capacity for each fresh-keeping zone. It should be noted that if there are no fresh-keeping zones with demand less than or equal to the average quota limit in the current loop, the process directly proceeds to the step of equally distributing the current remaining resource among the remaining fresh-keeping zones.

[0058] Specifically, the system first uses a pulse-triggered countdown. With available net cooling power Calculate the limit of available total cooling capacity And compare it with the total precooling capacity requirement of the entire pipeline network. Compare. If Less than The system determines that the pipe network has entered a state of cooling capacity shortage and immediately triggers an asymmetric distribution strategy. Optionally, the maximum available total cooling capacity... Pulse trigger countdown With available net cooling power The product of.

[0059] The system iterates through all preservation zones, only adding those with a pre-cooling capacity requirement strictly greater than zero to the allocation set, and initializes the current remaining resources to the maximum available total cooling capacity. Then, the iterative allocation process begins: At the start of each loop cycle, the system obtains the total number of preservation zones in the current set to be allocated. Divide the current remaining resources by The average quota limit for this cycle is calculated. The system iterates through all the preservation zones in the set to be allocated, and calculates the pre-cooling capacity requirements for each preservation zone. With average quota limit Perform a comparison. If... The system will fully confirm the demand value of the preservation area as its final actual allocated cooling capacity. This ensures that the system can weather the crisis safely. Subsequently, the system removes the indexes of these allocated preservation zones from the set to be allocated, and subtracts the total amount of cold storage that has been occupied from the current remaining resources to obtain the updated current remaining resources.

[0060] The system determines whether a removal action was performed in the current loop. If removal occurred and there are still remaining fresh-keeping zones in the set, the system returns to the loop start step with the updated current remaining resources and the updated total number of zones in the set to start the next iteration. If, in a loop, the pre-cooling demand of all remaining fresh-keeping zones in the set to be allocated is strictly greater than the calculated average quota limit (i.e., it cannot be fully satisfied), the system triggers the loop termination condition, stops comparing resources one by one, and directly distributes the current remaining resources equally among all remaining high-risk fresh-keeping zones in the set without discrimination. This equal distribution value is then uniformly assigned as the actual allocated cooling capacity for these high-risk fresh-keeping zones. .

[0061] For example, the actual distribution of cooling capacity The computational logic satisfies the mathematical description of the max-min fair allocation algorithm: for each preservation zone Its allocation amount This represents the equal allocation of remaining resources in the high-demand freshness zones after all the low-demand freshness zones have met their full requirements.

[0062] In one possible implementation, the process of identifying high-risk preservation zones includes: determining the actual temperature drop based on the ratio of the actual allocated cooling capacity to the cooling capacity required for cooling in each preservation zone; determining the starting temperature based on the difference between the real-time storage temperature and the actual temperature drop; determining the maximum temperature at the end of the supply interruption period based on the sum of the starting temperature and the expected temperature rise during the supply interruption period; and identifying preservation zones where the maximum temperature at the end of the supply interruption period exceeds the upper limit of spoilage temperature as high-risk preservation zones.

[0063] Specifically, the system traverses each preservation zone and allocates the actual cooling capacity. Divide by the cooling capacity coefficient The actual temperature reduction that the preservation area can achieve using the existing quota is calculated. The real-time temperature of this preservation area. Subtract the actual temperature drop The starting temperature of the preservation zone after the limited-quota cooling was completed was obtained. Set the starting temperature. In addition to the previously confirmed expectation of a supply disruption period, Finally, the estimated highest temperature at the end of the supply disruption period in the preservation area was obtained. .

[0064] The conclusion is Then, the system compares it with the maximum spoilage temperature of that preservation area. Compare them. If The area was determined to have an overheating risk and was identified as a high-risk preservation area.

[0065] In one possible implementation, the process of determining the electric field trigger delay time includes: determining the cooling capacity gap of each high-risk preservation zone based on the difference between the highest temperature at the end of the supply interruption period and the upper limit temperature of spoilage, as well as the cooling capacity coefficient for cooling; summing the cooling capacity gaps of all high-risk preservation zones to obtain the total cooling capacity gap; and dividing the total cooling capacity gap by the available net cooling power to obtain the electric field trigger delay time.

[0066] Specifically, for identified high-risk preservation areas, the system uses the highest temperature at the end of the supply interruption period. Subtract the upper limit temperature of decay This yields the over-temperature deviation degree. This over-temperature deviation degree is then multiplied by the cooling capacity coefficient. The remaining cold energy deficit in the preservation area due to limited allocation was calculated. This cold energy deficit is essentially the difference between the pre-cooling cold energy demand and the actual allocated cold energy.

[0067] The system sums up the remaining cold energy deficit in all high-risk preservation areas to obtain the total cold energy deficit. Then, the total cooling capacity deficit is divided by the available net cooling capacity. Calculations show that in order to compensate for this additional cooling demand, the inverter compressor must add extra pure cooling time, i.e., the electric field trigger delay time. .

[0068] Based on the above technical solution, this embodiment achieves asymmetric optimization of cold energy resources through a maximum-minimum fair allocation algorithm. It prioritizes the preservation of low-demand freshness zones while concentrating resources to fill high-risk gaps. By predicting and comparing the highest temperature at the end of the supply interruption period, it accurately identifies remaining risk areas. By inversely converting the cold energy gap into an electric field trigger delay duration, it constructs a cross-device interlocking mechanism between mathematical quotas and physical clocks. This solves the risk of widespread overheating caused by simple proportional allocation under limited cold energy conditions, as well as the technical contradictions between hardware overload and process scheduling conflicts. It achieves a balance between maximizing the survival rate of multiple temperature zones and ensuring process safety under limited refrigeration resources.

[0069] In one possible implementation, this embodiment provides a specific implementation method for cross-regional coordinated control based on the actual allocated cooling capacity and the electric field trigger delay duration, which is described in detail below: Step 501: Add the cold energy deficit of each high-risk preservation area to its actual allocated cold energy to update the actual allocated cold energy.

[0070] Step 502: Determine the precooling degree based on the ratio of the updated actual allocated cooling capacity to the cooling capacity required for cooling.

[0071] Step 503: Determine the theoretical target temperature based on the difference between the real-time storage temperature and the pre-cooling degree.

[0072] Step 504: When the theoretical target temperature is lower than the minimum set temperature allowed by the hardware, the minimum set temperature allowed by the hardware shall be used as the electromechanical target temperature.

[0073] Step 505: When the theoretical target temperature is equal to or higher than the minimum set temperature allowed by the hardware, the theoretical target temperature shall be used as the electromechanical target temperature.

[0074] Step 506: Send the electromechanical target temperature to the thermostat in each preservation zone to control the opening of the electronic expansion valve for pre-cooling. Add the pulse trigger countdown to the electric field trigger delay time to obtain the actual countdown, and send the actual countdown to the electric field controller in the quick-freezing zone.

[0075] Specifically, to ensure that the extra cooling capacity gained through the delay triggered by the electric field is truly allocated to the corresponding high-risk preservation zones at the physical level, the system implements a quota compensation merging mechanism. The remaining cooling capacity gap in the preservation zone is directly added to the actual allocated cooling capacity previously obtained by the zone, and the actual allocated cooling capacity is updated using the sum of the sums.

[0076] Following this, the system divides the updated actual allocated cooling capacity by the cooling capacity coefficient required for cooling, calculating the pre-cooling degree that the current allocated quota can actually support for the reduction in temperature in the preservation zone. By subtracting this pre-cooling degree from the real-time storage temperature of the preservation zone, the theoretical target temperature value that the underlying thermostat can directly identify is calculated.

[0077] Considering that under extreme shortfall compensation conditions, the calculated theoretical target temperature may be extremely low, even below the physical evaporation temperature limit of the refrigerant in the evaporator of the preservation zone, directly issuing this temperature would cause the bottom thermostat to refuse to receive it or trigger frost formation in the pipeline network. Therefore, the system immediately compares the theoretical target temperature with the preset minimum allowable temperature set by the hardware for the refrigeration equipment in the preservation zone (for example, the lower limit for cold meat storage is usually set to -2℃ or -5℃). If the calculated theoretical target temperature is lower than the minimum allowable temperature set by the hardware, the system uses that minimum allowable temperature set as the final overwrite parameter; if it is higher than or equal to the hardware lower limit, the theoretical calculation value is retained. The final determined value is recorded as the electromechanical target temperature. .

[0078] After calculating the electromechanical target temperature, the system sends a setpoint overwrite command to the local thermostats in each preservation zone via the communication bus, changing the controller's original temperature target to the electromechanical target temperature. Because the newly set target temperature is lowered, the thermostat automatically sends an opening command to the electronic expansion valve to introduce refrigerant.

[0079] While overwriting the settings for the fresh-keeping zone, the system adds the electric field trigger delay time to the initial pulse trigger countdown to obtain the extended actual countdown. The system sends a clock extension command to the low-temperature electric field controller in the quick-freezing zone, requiring it to start the discharge process only after the actual countdown has ended. During the actual countdown, the inverter compressor operates at full capacity, continuously delivering cooling capacity to the fresh-keeping zone where the set value is lowered to perform preventative cooling.

[0080] Step 507: Monitor the actual countdown. When the actual countdown reaches zero, issue a flow restriction command to each preservation zone to forcibly limit the opening of the electronic expansion valve in each preservation zone to the preset minimum warning opening.

[0081] Specifically, the system monitors the actual countdown in real time at high frequency. When the system detects that the actual countdown value has reached zero, it determines that the electric field equipment in the quick-freezing zone has triggered a phase change pulse, indicating that it has entered a high-intensity latent heat release state. At this time, the load on the evaporator in the quick-freezing zone surges, and it begins to draw in a large amount of refrigerant. After determining that it has entered the latent heat release state, the system issues a pause command to all preservation zones, forcibly taking over the automatic adjustment function of the local thermostat, preventing it from acting autonomously based on temperature deviations. After pausing the thermostat adjustment function, the system issues a flow-limiting command to the electronic expansion valves in all preservation zones, forcibly suppressing and fixing the opening of each electronic expansion valve at a preset minimum warning opening (e.g., a small opening of 5% to 10%). The minimum warning opening is the minimum bypass liquid supply allowed under the premise of maintaining the shared variable frequency compressor at the safe return gas pressure bottom line. By issuing and maintaining this warning opening, the system can significantly reduce the refrigerant diversion capacity of the fresh food zone to the main pipe without causing the compressor to be damaged by liquid slugging due to the instantaneous complete shutdown of multiple branches.

[0082] Step 508: Start the timer and compare the accumulated time with the pulse duration. When the accumulated time reaches the pulse duration, issue a permission reset command to each preservation zone to restore the autonomous adjustment permission of the electronic expansion valve, clear the electromechanical target temperature, and reload the normal constant temperature control parameters.

[0083] Specifically, at the exact moment the countdown reaches zero, the system simultaneously starts its internal timer. During the timer's operation, the system compares its accumulated time with the pulse duration in real time. When the comparison result shows that the accumulated time is equal to or greater than the pulse duration, it indicates that the high-pressure discharge phase in the quick-freezing zone has ended, the peak period of concentrated release of latent heat of phase change has ended, and the refrigerant flow competition alarm faced by the main pipeline network has been lifted. After determining that the phase change process has ended, the system issues a permission reset command to the local thermostats of all preservation zones, allowing them to autonomously adjust valves according to temperature deviations again. At the same time, the system issues a setpoint restoration command to all preservation zones, clearing the previously implanted electromechanical target temperatures and reloading the normal chilled meat temperature parameters before the crisis (such as the standard 0℃ to 4℃ storage setting). After receiving the restoration command, the thermostats control the opening of the electronic expansion valves again according to normal needs, and the system returns to normal operation.

[0084] Based on the above technical solutions, this embodiment ensures that the cooling capacity quota at the algorithm level can be safely and effectively converted into temperature setting instructions for the underlying equipment through quota compensation merging and a hardware-allowed minimum set temperature fallback mechanism; it achieves precise extension of the process clock through coordinated control of actual countdown and electric field trigger delay duration; and it achieves controlled transfer of refrigerant to the quick-freezing zone under the premise of ensuring the compressor's safe return gas pressure, and safely resumes normal operation after the crisis is resolved, through current limiting control when the countdown reaches zero and the timer monitoring permission reset mechanism. This solves the problem of instruction conversion gap between the algorithm layer and the physical execution layer, as well as the coordination problem of multi-temperature zone load competition during the electric field process, and realizes closed-loop execution of cross-zone coordinated control.

[0085] Please see Figure 2 This diagram illustrates a system architecture of a low-temperature electric field-assisted intelligent cold storage multi-temperature zone coordinated control system according to an embodiment of the present invention. The system includes: a data acquisition unit 201, a demand prediction unit 202, a resource coordination unit 203, a clock coordination unit 204, and a control execution unit 204. The units communicate bidirectionally via a communication link, ensuring real-time interaction of collected data and analysis results. The communication link can employ wired or wireless transmission methods to meet the communication needs of different monitoring scenarios.

[0086] The data acquisition unit 201 is used to acquire the thermal response characteristic parameters, cooling capacity coefficient, available net refrigeration power, real-time storage temperature, pulse trigger countdown and pulse duration of the electric field in the quick-freezing zone for each preservation zone. The demand forecasting unit 202 is used to determine the pre-cooling demand of each preservation zone due to limited cooling supply during the pulse duration based on thermal response characteristic parameters, cooling capacity coefficient, pulse duration, real-time storage temperature, and spoilage limit temperature. The resource coordination unit 203 is used to determine the actual allocated cold capacity of each preservation zone when the total pre-cooling cold capacity demand of each preservation zone exceeds the limit of the total available cold capacity determined based on the available net refrigeration power and the pulse trigger countdown, and to identify high-risk preservation zones with cold capacity gaps after allocation. The clock coordination unit 204 is used to determine the electric field trigger delay time requested from the quick-freezing zone based on the total cold energy deficit of the high-risk preservation zone and the available net refrigeration power. The control execution unit 205 is used to control the variable frequency compressor, the electric field of the quick-freezing zone, and the electronic expansion valves of each preservation zone to perform cross-zone coordinated regulation based on the actual allocation of cooling capacity and the electric field trigger delay time.

[0087] It should be noted that the order of the embodiments described above is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0088] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

Claims

1. A method for coordinated control of multiple temperature zones in an intelligent cold storage facility assisted by a low-temperature electric field, characterized in that, include: The process involves acquiring thermal response characteristic parameters, cooling capacity coefficient, available net cooling power, real-time storage temperature, pulse trigger countdown and pulse duration of the electric field in the quick-freezing zone for each preservation zone. This includes: extracting temperature rise data and corresponding ambient temperature differences for each preservation zone under shutdown and power outage conditions from historical operation logs; determining the thermal response characteristic parameters based on the ratio of the temperature rise data to the ambient temperature difference; extracting cooling rate data and corresponding actual output cooling capacity for each preservation zone under maximum cooling conditions; determining the cooling capacity coefficient based on the ratio of the actual output cooling capacity to the cooling rate data; acquiring the current external ambient temperature and the real-time storage temperature; determining the heat leakage compensation power based on the difference between the external ambient temperature and the real-time storage temperature, the thermal response characteristic parameters, and the cooling capacity coefficient; and deducting the sum of the heat leakage compensation power for all preservation zones from the maximum cooling power of the variable frequency compressor to determine the available net cooling power. Based on the thermal response characteristic parameters, the cooling requirement coefficient, the pulse duration, the real-time storage temperature, and the upper limit temperature for spoilage, the pre-cooling requirement for each preservation zone due to limited cooling supply during the pulse duration is determined, including: determining the expected temperature rise during the supply interruption period based on the pulse duration and the thermal response characteristic parameters; determining the pre-spoilage prevention temperature based on the difference between the upper limit temperature for spoilage and the expected temperature rise during the supply interruption period; and determining the pre-cooling requirement based on the difference between the real-time storage temperature and the pre-spoilage prevention temperature, and the cooling requirement coefficient. When the total pre-cooling cold capacity demand of each preservation zone exceeds the limit of the total available cold capacity determined based on the available net cooling power and the pulse trigger countdown, an asymmetric allocation strategy is adopted to determine the actual allocated cold capacity of each preservation zone and to identify high-risk preservation zones with cold capacity gaps after allocation. The electric field trigger delay time requested from the quick-freezing zone is determined based on the sum of the cold energy deficit in the high-risk preservation zone and the available net refrigeration power. Based on the actual allocated cooling capacity and the electric field trigger delay time, the variable frequency compressor, the electric field of the quick-freezing zone, and the electronic expansion valves of each preservation zone are controlled to perform cross-zone coordinated regulation.

2. The method for coordinated control of multiple temperature zones in an intelligent cold storage facility assisted by a low-temperature electric field according to claim 1, characterized in that, The method further includes: If a shutdown operation log that meets the preset conditions cannot be extracted within the set historical data time window, the pre-stored default thermal conductivity and nominal load are retrieved to generate the corresponding thermal response characteristic parameters and cooling load coefficient. Before determining the cooling required coefficient based on the ratio of the actual output cooling capacity to the cooling rate data, the cooling rate data is compared with a preset effective cooling rate lower limit threshold. When the cooling rate data is less than the lower limit threshold, the lower limit threshold is used to replace the actual cooling rate data for subsequent calculations. After determining the available net cooling power, it is compared with a preset safety baseline value. When the available net cooling power is less than or equal to the safety baseline value, a pipeline overload alarm is triggered and a process fuse command is sent to the electric field controller of the quick-freezing zone.

3. The method for coordinated control of multiple temperature zones in an intelligent cold storage facility assisted by a low-temperature electric field according to claim 1, characterized in that, An asymmetric allocation strategy was used to determine the actual cold load allocated to each preservation zone, including: Determine the set to be allocated; the set to be allocated includes fresh-keeping areas with pre-cooling cold capacity requirements greater than zero; Using the maximum available total cooling capacity as the current remaining resources, the resource allocation process is iteratively executed: the ratio of the current remaining resources to the number of items in the set to be allocated is determined as the average quota limit; resources that meet the needs of the preservation area are allocated to preservation areas whose demand is less than or equal to the average quota limit; the current remaining resources are updated, and preservation areas with allocated resources are deleted from the set to be allocated. Until the demand of the remaining preservation areas in the set to be allocated is greater than the current average quota limit, the current remaining resources are equally distributed to the remaining preservation areas to determine the actual allocated cold load for each preservation area.

4. The method for coordinated control of multiple temperature zones in an intelligent cold storage facility assisted by a low-temperature electric field according to claim 1, characterized in that, Identify high-risk preservation areas with cold air deficits after allocation, including: The actual temperature drop is determined based on the ratio of the actual allocated cooling capacity of each preservation zone to the cooling capacity coefficient for cooling. The starting temperature is determined based on the difference between the real-time storage temperature and the actual temperature drop. The highest temperature at the end of the supply interruption period is determined based on the sum of the initial temperature and the expected temperature rise during the interruption period. The preservation area where the highest temperature at the end of the supply interruption period exceeds the upper limit temperature for spoilage is identified as a high-risk preservation area.

5. The method for coordinated control of multiple temperature zones in an intelligent cold storage facility assisted by a low-temperature electric field according to claim 4, characterized in that, Based on the sum of the cold energy deficit in the high-risk preservation areas and the available net refrigeration power, the electric field triggering delay time requested from the quick-freezing area is determined, including: The cooling capacity gap for each high-risk preservation zone is determined based on the difference between the highest temperature at the end of the supply interruption period and the upper limit temperature for spoilage, as well as the cooling capacity coefficient for cooling. Summing the cold energy deficits of all high-risk preservation areas yields the total cold energy deficit. Dividing the sum of the cooling capacity deficits by the available net cooling power yields the electric field trigger delay time.

6. The method for coordinated control of multiple temperature zones in an intelligent cold storage facility assisted by a low-temperature electric field according to claim 5, characterized in that, Based on the actual allocated cooling capacity and the electric field trigger delay time, the variable frequency compressor, the electric field of the quick-freezing zone, and the electronic expansion valves of each preservation zone are controlled to perform cross-zone coordinated regulation, including: The cold storage deficit of each high-risk preservation zone is added to its actual allocated cold storage to update the actual allocated cold storage. The precooling degree is determined based on the ratio of the updated actual allocated cooling capacity to the cooling capacity coefficient for cooling. The theoretical target temperature is determined based on the difference between the real-time storage temperature and the pre-cooling degree. When the theoretical target temperature is lower than the minimum set temperature allowed by the hardware, the minimum set temperature allowed by the hardware is used as the electromechanical target temperature; when the theoretical target temperature is equal to or higher than the minimum set temperature allowed by the hardware, the theoretical target temperature is used as the electromechanical target temperature. The electromechanical target temperature is sent to the constant temperature controller of each preservation zone to control the opening of the electronic expansion valve for pre-cooling and cooling. The actual countdown is obtained by adding the pulse trigger countdown to the electric field trigger delay time, and the actual countdown is sent to the electric field controller of the quick-freezing zone.

7. The method for coordinated control of multiple temperature zones in an intelligent cold storage facility assisted by a low-temperature electric field according to claim 6, characterized in that, The method further includes: The actual countdown is monitored. When the actual countdown reaches zero, a flow restriction command is issued to each preservation zone to forcibly limit the opening of the electronic expansion valve of each preservation zone to the preset minimum warning opening. Start the timer, compare the accumulated time with the pulse duration, and when the accumulated time reaches the pulse duration, issue a permission reset command to each preservation zone, restore the autonomous adjustment permission of the electronic expansion valve, clear the electromechanical target temperature, and reload the conventional constant temperature control parameters.

8. A low-temperature electric field-assisted intelligent cold storage multi-temperature zone coordinated control system, characterized in that, This system is used to implement the low-temperature electric field-assisted intelligent cold storage multi-temperature zone coordinated control method according to any one of claims 1-7, and the system includes: The data acquisition unit is used to acquire the thermal response characteristic parameters, cooling capacity coefficient, available net refrigeration power, real-time storage temperature, pulse trigger countdown and pulse duration of the electric field in the quick-freezing zone for each preservation area. The demand forecasting unit is used to determine the pre-cooling demand of each preservation zone due to limited cooling supply during the duration of the pulse, based on the thermal response characteristic parameters, the cooling demand coefficient for cooling, the pulse duration, the real-time storage temperature, and the upper limit temperature of spoilage. The resource coordination unit is used to determine the actual allocated cold capacity of each preservation zone when the total pre-cooling cold capacity demand of each preservation zone exceeds the limit of the total available cold capacity determined based on the available net refrigeration power and the pulse trigger countdown, and to identify high-risk preservation zones with cold capacity gaps after allocation. The clock coordination unit is used to determine the electric field trigger delay time to be requested from the quick-freezing zone based on the sum of the cold energy gap in the high-risk preservation zone and the available net refrigeration power. The control execution unit is used to control the variable frequency compressor, the electric field of the quick-freezing zone, and the electronic expansion valves of each preservation zone to perform cross-zone coordinated regulation based on the actual allocated cooling capacity and the electric field trigger delay time.

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