Local temperature control method and system for energy-saving refrigeration house

Abstract

The invention discloses a local temperature control method and system for an energy-saving refrigeration house, and relates to the technical field of refrigeration house regulation and control. The method comprises the steps that the interior of the refrigeration house is divided into a plurality of areas according to temperature control distribution of temperature regulation equipment of the refrigeration house; determining a priority storage initial index of each region; obtaining the current storage state of each area; analyzing the future storage prediction storage amount of the refrigeration house; determining a future storage area of the refrigeration house, and recording the area as a target temperature control area; a control instruction is sent to a temperature adjusting device of the target temperature control area, and the temperature of the target temperature control area is adjusted and controlled to the set target temperature of the refrigeration house; and the control instruction is sent to temperature adjusting equipment in the area except the target temperature control area, and the area except the target temperature control area is adjusted and controlled to the standby temperature. The method has the advantages that by applying the local temperature control and energy-saving technology, the energy consumption of the refrigeration house is remarkably reduced, the energy utilization efficiency is improved, the operation cost of the refrigeration house is reduced, and the green development of the cold-chain logistics industry is promoted.

Description

Technical Field

[0001] The present invention relates to the technical field of cold storage control, and in particular to a local temperature control method and system for an energy-saving cold storage. Background Art

[0002] Cold storage is a type of refrigeration equipment. It is an artificial way to create an environment with different temperature or humidity from the outdoor environment. It is also a constant temperature and humidity storage equipment for food, liquids, chemicals, medicines, vaccines, scientific experiments, etc. Cold storage is usually located near the transportation port or the place of origin. Compared with refrigerators, cold storage has a larger refrigeration area and shares the same refrigeration principle.

[0003] With the rapid development of the cold chain logistics industry, the energy consumption problem of cold storage, as a key facility for storing sensitive goods such as food and medicine, has become increasingly prominent. Traditional cold storage usually adopts unified temperature control, which not only causes energy waste, but also cannot dynamically adjust the temperature of the cold storage according to the actual storage status of the cold storage, making it difficult to meet the energy-saving control needs of the cold storage. Summary of the invention

[0004] In order to solve the above technical problems, a local temperature control method and system for an energy-saving cold storage is provided. This technical solution solves the problem that the above-mentioned traditional cold storage usually adopts unified temperature control, which not only causes energy waste, but also cannot dynamically adjust the temperature state of the cold storage according to the actual storage state of the cold storage, and it is difficult to meet the energy-saving control needs of the cold storage.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is:

[0006] A local temperature control method for an energy-saving cold storage, comprising:

[0007] According to the temperature control distribution of the temperature regulating equipment in the cold storage, the interior of the cold storage is divided into several areas;

[0008] Based on the location attributes of each area, determine the priority storage initial index for each area;

[0009] Get the current storage status of each region;

[0010] Obtain the historical storage data of the cold storage, and analyze the future storage forecast of the cold storage based on the historical storage data of the cold storage;

[0011] Based on the predicted storage volume of the cold storage in the future, determine the area of ​​the cold storage that needs to be stored in the future and record it as the target temperature control area;

[0012] Send control instructions to the temperature regulating device in the target temperature control area to adjust the temperature of the target temperature control area to the target temperature set in the cold storage;

[0013] Send control instructions to the temperature adjustment devices in areas other than the target temperature control area to adjust the areas other than the target temperature control area to the standby temperature.

[0014] Preferably, determining the priority storage initial index of each area based on the location attribute of each area specifically includes:

[0015] Obtain at least one entrance and exit of the cold storage;

[0016] Obtain historical storage data of the cold storage, and determine the activation frequency of each entrance and exit of the cold storage when storing based on the historical storage data of the cold storage;

[0017] Get the path length between each area and each cold storage entrance and exit;

[0018] Combined with the activation frequency and area of ​​each entrance and exit of the cold storage during storage and the length of the path of each entrance and exit of the cold storage, the initial index of the priority storage of the area is calculated through a comprehensive analysis formula;

[0019] The comprehensive analysis formula is specifically:

[0020]

[0021] Where Z is the initial index of the region’s priority storage, p i is the activation frequency of the i-th entrance and exit of the cold storage, s i is the path length between the area and the i-th entrance and exit of the cold storage, and n is the total number of entrances and exits of the cold storage.

[0022] Preferably, the acquiring of historical storage data of the cold storage and analyzing the future predicted storage volume of the cold storage based on the historical storage data of the cold storage specifically includes:

[0023] Setting a storage analysis cycle;

[0024] Retrieve the storage data of the cold storage within the m storage analysis cycles closest to the current moment and record them as sample data;

[0025] Attach a number to each sample data in order from the earliest time to the latest time;

[0026] Based on the principle of linear regression, a prediction formula is constructed;

[0027] Substitute all sample data and sample data numbers into the prediction formula to obtain the predicted storage volume of the cold storage in the future storage analysis cycle;

[0028] The prediction formula is specifically:

[0029]

[0030] Where R0 is the predicted storage volume of cold storage in the future storage analysis period, and p j The sample data numbered is j, and m is the total number of sample data.

[0031] Preferably, the determining of the area that needs to be stored in the cold storage in the future based on the predicted storage volume of the cold storage specifically includes:

[0032] Based on the initial priority storage index of each area of ​​the cold storage, a storage index function of each area of ​​the cold storage is constructed, wherein the independent variable of the storage index function is the storage capacity of the area, and the independent variable of the storage index function is the priority storage index of the area;

[0033] Generate at least one storage allocation plan based on the current storage status of each area and the predicted storage volume of cold storage in the future storage analysis period;

[0034] Determine the storage capacity of each area under each storage allocation plan, and calculate the comprehensive priority index of cold storage storage based on the storage capacity of each area and the storage index function of each area of ​​the cold storage;

[0035] Determine the number of cold storage areas to be occupied under each storage allocation plan;

[0036] Combined with the comprehensive priority index of cold storage and the number of occupied cold storage areas, comprehensively evaluate the comprehensive storage index under each storage allocation scheme;

[0037] Filter out the storage allocation scheme corresponding to the maximum value of the comprehensive storage index, and record this scheme as the optimal storage allocation scheme;

[0038] The area where materials are stored under the optimal storage allocation plan and the area where materials are currently stored are recorded as the target temperature control area;

[0039] Wherein, the expression of the storage index function is:

[0040]

[0041] In the formula, Z k (x) is the storage index function of the kth region, x is the storage capacity of the region, Z max The maximum value among the initial indexes of all regions is stored first, Z min The minimum value among the initial indexes for all regions is stored first, Z k is the initial index of the priority storage of the kth region, X k is the maximum storage capacity of the kth region.

[0042] Preferably, generating at least one storage allocation plan based on the current storage status of each area and the predicted storage volume of the cold storage in the future storage analysis cycle specifically includes:

[0043] Generate allocation constraints based on the current storage status of each area and the predicted storage volume of cold storage in the future storage analysis cycle;

[0044] Generate all storage allocation plans that meet the allocation constraint conditions;

[0045] The allocation restriction conditions are specifically:

[0046]

[0047] Among them, x k is the predicted storage capacity allocated to the kth region, X k0 is the existing storage capacity of the kth region, and U is the total number of regions.

[0048] Preferably, the determining of the storage capacity of each area under each storage allocation scheme, and calculating the cold storage storage comprehensive priority index based on the storage capacity of each area and the storage index function of each area of ​​the cold storage specifically includes:

[0049] Determine the predicted storage capacity allocated to each region under the storage plan, add the predicted storage capacity of the region to the existing storage capacity of the region to obtain the comprehensive storage capacity of the region;

[0050] Substitute the comprehensive storage capacity of the region into the storage index function of the region to obtain the priority storage index of the region;

[0051] The priority storage indicators of all areas are accumulated to obtain the comprehensive priority index of cold storage.

[0052] Preferably, the comprehensive storage index under each storage allocation scheme is comprehensively evaluated by combining the comprehensive priority index of cold storage storage and the number of occupied cold storage areas, and specifically includes:

[0053] A comprehensive evaluation formula is constructed based on the comprehensive priority index of cold storage for all storage allocation schemes and the number of occupied cold storage areas;

[0054] Evaluate the comprehensive storage index under each storage allocation scheme based on the comprehensive evaluation formula;

[0055] The comprehensive evaluation formula is specifically:

[0056]

[0057] Where, T o is the comprehensive storage index under the oth storage allocation scheme, G ois the comprehensive priority index of cold storage under the oth storage allocation scheme, M o is the number of cold storage areas occupied under the oth storage allocation scheme, G max is the maximum value of the comprehensive priority index of cold storage under all storage allocation schemes, G min is the minimum value of the comprehensive priority index of cold storage under all storage allocation schemes, M min is the minimum number of cold storage areas occupied under all storage allocation schemes, M max The maximum number of cold storage areas occupied under all storage allocation schemes.

[0058] Preferably, the method for determining the standby temperature is:

[0059] Collect and obtain the temperature-time variation curve of each area's temperature regulating equipment under the maximum cooling power;

[0060] The corresponding time when the target temperature of the cold storage is set on the temperature-time curve of the acquisition area is t g ;

[0061] The storage analysis cycle duration is recorded as t0;

[0062] Determine the temperature-time curve of the area g - The temperature corresponding to time t0 is recorded as the standby temperature of the area.

[0063] Furthermore, a local temperature control system of an energy-saving cold storage is proposed, which is used to implement the local temperature control method of the energy-saving cold storage as described above, comprising:

[0064] A zone division module, which is used to divide the interior of the cold storage into several zones according to the temperature control distribution of the temperature regulating equipment of the cold storage;

[0065] A regional analysis module, the regional analysis module is used to determine the priority storage initial index of each region based on the location attributes of each region;

[0066] A storage status analysis module, which is used to obtain the current storage status of each area, obtain the historical storage data of the cold storage, and analyze the future storage forecast of the cold storage based on the historical storage data of the cold storage;

[0067] The temperature control module is used to determine the area of ​​the cold storage that needs to be stored in the future based on the predicted storage volume of the cold storage, record it as the target temperature control area, send control instructions to the temperature adjustment device in the target temperature control area, adjust the temperature of the target temperature control area to the target temperature set for the cold storage, and send control instructions to the temperature adjustment devices in areas other than the target temperature control area, adjust the temperature of the areas other than the target temperature control area to the standby temperature.

[0068] Optionally, the temperature control module includes:

[0069] A target area determination unit, the target area determination unit is used to determine the area of ​​the cold storage that needs to be stored in the future based on the future storage forecast storage volume of the cold storage, which is recorded as the target temperature control area;

[0070] The local temperature control unit is used to send control instructions to the temperature control equipment in the target temperature control area to control the temperature of the target temperature control area to the target temperature set in the cold storage, and send control instructions to the temperature control equipment in areas other than the target temperature control area to control the temperature of the areas other than the target temperature control area to the standby temperature.

[0071] Compared with the prior art, the present invention has the following beneficial effects:

[0072] The present invention proposes a local temperature control solution for an energy-saving cold storage. By conducting a comprehensive learning analysis on the storage status of the cold storage, the storage status of the cold storage in the future is predicted. Based on the predicted storage status of the cold storage, dynamic regional temperature adjustment is performed. By predicting the storage conditions of goods in different areas, the output of refrigeration equipment in each area is automatically adjusted through an intelligent algorithm to achieve the best temperature control effect. By dividing the cold storage into multiple temperature control areas, refined zoning management is achieved. Through the application of local temperature control and energy-saving technologies, the energy consumption of the cold storage is significantly reduced, the energy utilization efficiency is improved, the operating costs of the cold storage are reduced, and the green development of the cold chain logistics industry is promoted. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] Figure 1 This is a flow chart of the local temperature control method for the energy-saving cold storage proposed in this scheme;

[0074] Figure 2 A flow chart of the method for determining the priority storage initial indicators for each area in this scheme;

[0075] Figure 3 A flow chart of the method for analyzing the future storage volume forecast of cold storage in this solution;

[0076] Figure 4 A flow chart of the method for determining the area where cold storage will be required for future storage in this solution;

[0077] Figure 5 A flow chart of a method for generating at least one storage allocation scheme in the present scheme;

[0078] Figure 6 A flow chart of the method for calculating the comprehensive priority index of cold storage in this scheme;

[0079] Figure 7A flow chart of the method for comprehensively evaluating the comprehensive storage indicators under each storage allocation scheme in this scheme. DETAILED DESCRIPTION

[0080] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0081] Reference Figure 1 As shown, a local temperature control method for an energy-saving cold storage includes:

[0082] According to the temperature control distribution of the temperature regulating equipment in the cold storage, the interior of the cold storage is divided into several areas;

[0083] Based on the location attributes of each area, determine the priority storage initial index for each area;

[0084] Get the current storage status of each region;

[0085] Obtain the historical storage data of the cold storage, and analyze the future storage forecast of the cold storage based on the historical storage data of the cold storage;

[0086] Based on the predicted storage volume of the cold storage in the future, determine the area of ​​the cold storage that needs to be stored in the future and record it as the target temperature control area;

[0087] Send control instructions to the temperature regulating device in the target temperature control area to adjust the temperature of the target temperature control area to the target temperature set in the cold storage;

[0088] Send control instructions to the temperature adjustment devices in areas other than the target temperature control area to adjust the areas other than the target temperature control area to the standby temperature.

[0089] This system conducts comprehensive learning and analysis on the storage status of the cold storage, predicts the storage status of the cold storage in the future, and dynamically adjusts the temperature of each area based on the predicted storage status of the cold storage. By predicting the storage situation of goods in different areas, the output of refrigeration equipment in each area is automatically adjusted through intelligent algorithms to achieve the best temperature control effect. By dividing the cold storage into multiple temperature control areas, refined management of the zones is achieved.

[0090] Reference Figure 2 As shown, based on the location attributes of each area, the priority storage initial indicators for each area are determined, including:

[0091] Obtain at least one entrance and exit of the cold storage;

[0092] Obtain historical storage data of the cold storage, and determine the activation frequency of each entrance and exit of the cold storage when storing based on the historical storage data of the cold storage;

[0093] Get the path length between each area and each cold storage entrance and exit;

[0094] Combined with the activation frequency and area of ​​each entrance and exit of the cold storage during storage and the length of the path of each entrance and exit of the cold storage, the initial index of the priority storage of the area is calculated through a comprehensive analysis formula;

[0095] Among them, the comprehensive analysis formula is as follows:

[0096]

[0097] Where Z is the initial index of the region’s priority storage, p i is the activation frequency of the i-th entrance and exit of the cold storage, s i is the path length between the area and the i-th entrance and exit of the cold storage, and n is the total number of entrances and exits of the cold storage.

[0098] It is understandable that in the process of storing goods, the closer the location is to the entrance and exit of the cold storage, the more convenient it is to store and retrieve goods. Therefore, when storing, these locations usually have a higher priority. In order to optimize storage efficiency, this scheme proposes a comprehensive evaluation method based on the activation frequency of cold storage entrances and exits and the distance between each area and each entrance and exit. Through this method, the priority storage initial index of each storage area can be calculated. Specifically, the smaller the priority storage initial index, the closer the comprehensive distance of the area to each entrance and exit, so that the probability of its priority storage is correspondingly higher. This evaluation method not only takes into account the distance factor, but also combines the frequency of use of the entrance and exit, so that the storage priority of each area can be more comprehensively evaluated to ensure the efficiency and convenience of goods storage and retrieval. In this way, the overall operating efficiency of the cold storage can be effectively improved, unnecessary handling time and cost can be reduced, thereby improving the performance of the entire warehousing system.

[0099] Reference Figure 3 As shown, the historical storage data of the cold storage is obtained. Based on the historical storage data of the cold storage, the future storage forecast of the cold storage is analyzed, including:

[0100] Setting a storage analysis cycle;

[0101] Retrieve the storage data of the cold storage within the m storage analysis cycles closest to the current moment and record them as sample data;

[0102] Attach a number to each sample data in order from the earliest time to the latest time;

[0103] Based on the principle of linear regression, a prediction formula is constructed;

[0104] Substitute all sample data and sample data numbers into the prediction formula to obtain the predicted storage volume of the cold storage in the future storage analysis cycle;

[0105] The prediction formula is as follows:

[0106]

[0107] Where R0 is the predicted storage volume of cold storage in the future storage analysis period, and p j The sample data numbered is j, and m is the total number of sample data.

[0108] By using the linear prediction method, we can use the storage data of the cold storage in the past period as the basic sample data for in-depth comprehensive analysis. Through the linear regression analysis of the historical storage data, we can find out the linear relationship between the data and then build a prediction model. This model can predict the future storage volume changes of the cold storage based on the trends and laws of historical data. Through this prediction, we can understand in advance the storage demand and change laws of the cold storage in different time periods, thereby providing strong data support for the regional temperature control of the cold storage.

[0109] Reference Figure 4 As shown in the figure, based on the predicted storage volume of the cold storage in the future, the areas that need to be stored in the cold storage in the future are determined to include:

[0110] Based on the initial priority storage index of each area of ​​the cold storage, a storage index function of each area of ​​the cold storage is constructed, the independent variable of the storage index function is the storage capacity of the area, and the independent variable of the storage index function is the priority storage index of the area;

[0111] Generate at least one storage allocation plan based on the current storage status of each area and the predicted storage volume of cold storage in the future storage analysis period;

[0112] Determine the storage capacity of each area under each storage allocation plan, and calculate the comprehensive priority index of cold storage storage based on the storage capacity of each area and the storage index function of each area of ​​the cold storage;

[0113] Determine the number of cold storage areas to be occupied under each storage allocation plan;

[0114] Combined with the comprehensive priority index of cold storage and the number of occupied cold storage areas, comprehensively evaluate the comprehensive storage index under each storage allocation scheme;

[0115] Filter out the storage allocation scheme corresponding to the maximum value of the comprehensive storage index, and record this scheme as the optimal storage allocation scheme;

[0116] The area where materials are stored under the optimal storage allocation plan and the area where materials are currently stored are recorded as the target temperature control area;

[0117] Among them, the expression of the storage indicator function is:

[0118]

[0119] In the formula, Z k (x) is the storage index function of the kth region, x is the storage capacity of the region, Z max The maximum value among the initial indexes of all regions is stored first, Z min The minimum value among the initial indexes for all regions is stored first, Z k is the initial index of the priority storage of the kth region, X k is the maximum storage capacity of the kth region.

[0120] Among them, it is understandable that when the number of goods stored in a specific area increases significantly, due to the limitation of storage space and the actual situation of goods accumulation, the difficulty of goods storage and retrieval operations in this area may increase accordingly. Therefore, as the number of goods increases, the priority of this area in storage operations tends to decrease accordingly. Based on this understanding, this solution uses a linear change trend to simulate and quantify this relationship, so that it can effectively predict the storage priority considerations of each area when performing goods storage and retrieval operations in the cold storage. In this way, the storage location and order of goods can be arranged more scientifically, the storage efficiency of the cold storage can be optimized, and the difficulty of access caused by excessive accumulation of goods can be reduced, thereby improving the overall warehouse management efficiency.

[0121] Reference Figure 5 As shown, based on the current storage status of each area and the predicted storage volume of the cold storage in the future storage analysis cycle, generating at least one storage allocation plan specifically includes:

[0122] Generate allocation constraints based on the current storage status of each area and the predicted storage volume of cold storage in the future storage analysis cycle;

[0123] Generate all storage allocation plans that meet the allocation constraint conditions;

[0124] The allocation restrictions are as follows:

[0125]

[0126] Among them, x k is the predicted storage capacity allocated to the kth region, X k0 is the existing storage capacity of the kth region, and U is the total number of regions.

[0127] Reference Figure 6As shown, the storage capacity of each area under each storage allocation scheme is determined, and the comprehensive priority index of cold storage storage is calculated based on the storage capacity of each area and the storage index function of each area of ​​the cold storage, which specifically includes:

[0128] Determine the predicted storage capacity allocated to each region under the storage plan, add the predicted storage capacity of the region to the existing storage capacity of the region to obtain the comprehensive storage capacity of the region;

[0129] Substitute the comprehensive storage capacity of the region into the storage index function of the region to obtain the priority storage index of the region;

[0130] The priority storage indicators of all areas are accumulated to obtain the comprehensive priority index of cold storage.

[0131] Reference Figure 7 As shown in the figure, combined with the comprehensive priority index of cold storage and the number of occupied cold storage areas, the comprehensive storage index under each storage allocation scheme is comprehensively evaluated, including:

[0132] A comprehensive evaluation formula is constructed based on the comprehensive priority index of cold storage for all storage allocation schemes and the number of occupied cold storage areas;

[0133] Evaluate the comprehensive storage index under each storage allocation scheme based on the comprehensive evaluation formula;

[0134] The comprehensive evaluation formula is as follows:

[0135]

[0136] Where, T o is the comprehensive storage index under the oth storage allocation scheme, G o is the comprehensive priority index of cold storage under the oth storage allocation scheme, M o is the number of cold storage areas occupied under the oth storage allocation scheme, G max is the maximum value of the comprehensive priority index of cold storage under all storage allocation schemes, G min is the minimum value of the comprehensive priority index of cold storage under all storage allocation schemes, M min is the minimum number of cold storage areas occupied under all storage allocation schemes, M max The maximum number of cold storage areas occupied under all storage allocation schemes.

[0137] This solution adopts the best-bad solution algorithm. The best-bad solution algorithm usually refers to the best-bad solution distance method. It is a commonly used multi-criteria decision analysis method used to evaluate and compare a series of alternative solutions. By calculating the relative proximity between each alternative solution and the ideal optimal solution and the ideal worst solution, the alternative solution is sorted to find the best solution and determine the optimal storage solution for the future cold storage. In this solution, the two considerations for cold storage storage are the comprehensive priority index of the cold storage storage in the region and the number of enabled areas in the region. Several storage allocation plans are generated by using the storage space of the region as a constraint. The maximum value of the comprehensive priority index of the cold storage storage in several storage allocation plans and the minimum number of occupied cold storage areas are taken as the optimal solution. The minimum value of the comprehensive priority index of the cold storage storage in several storage allocation plans and the maximum number of occupied cold storage areas are taken as the worst solution. A comprehensive evaluation is performed to screen the comprehensive storage index of each plan, and then the optimal plan is selected.

[0138] The standby temperature is determined as follows:

[0139] Collect and obtain the temperature-time variation curve of each area's temperature regulating equipment under the maximum cooling power;

[0140] The corresponding time when the target temperature of the cold storage is set on the temperature-time curve of the acquisition area is t g ;

[0141] The storage analysis cycle duration is recorded as t0;

[0142] Determine the temperature-time curve of the area g - The temperature corresponding to time t0 is recorded as the standby temperature of the area.

[0143] In this solution, the standby temperature control mode is adopted for the non-storage area in the cold storage. The standby temperature is to ensure that the area can quickly reach the maximum temperature of the cold storage set target temperature during the next storage cycle. This method can effectively ensure the timeliness of the temperature control of the cold storage while reducing the energy consumption of the cold storage, greatly improving the operation quality of the cold storage.

[0144] Further, based on the same inventive concept as the local temperature control method of the above energy-saving cold storage, the present solution also proposes a local temperature control system of an energy-saving cold storage, including:

[0145] The area division module is used to divide the interior of the cold storage into several areas according to the temperature control distribution of the temperature regulating equipment of the cold storage;

[0146] The regional analysis module is used to determine the priority storage initial index of each region based on the location attributes of each region;

[0147] The storage status analysis module is used to obtain the current storage status of each area, obtain the historical storage data of the cold storage, and analyze the future storage forecast of the cold storage based on the historical storage data of the cold storage;

[0148] The temperature control module is used to determine the area of ​​the cold storage that needs to be stored in the future based on the predicted storage volume of the cold storage, record it as the target temperature control area, send control instructions to the temperature control equipment in the target temperature control area, adjust the temperature of the target temperature control area to the target temperature set for the cold storage, and send control instructions to the temperature control equipment in areas other than the target temperature control area, adjust the temperature of areas other than the target temperature control area to the standby temperature.

[0149] The temperature control module includes:

[0150] A target area determination unit is used to determine the area of ​​the cold storage that needs to be stored in the future based on the predicted storage volume of the cold storage in the future, which is recorded as the target temperature control area;

[0151] The local temperature control unit is used to send control instructions to the temperature control equipment in the target temperature control area to control the temperature of the target temperature control area to the target temperature set in the cold storage, and send control instructions to the temperature control equipment in areas other than the target temperature control area to control the temperature of areas other than the target temperature control area to the standby temperature.

[0152] The above usage process is:

[0153] Step 1: The area division module divides the interior of the cold storage into several areas according to the temperature control distribution of the temperature regulating equipment of the cold storage;

[0154] Step 2: The regional analysis module determines the priority storage initial indicators for each region based on the location attributes of each region;

[0155] Step 3: The storage status analysis module obtains the current storage status of each area, obtains the historical storage data of the cold storage, and analyzes the future storage forecast of the cold storage based on the historical storage data of the cold storage;

[0156] Step 4: The target area determination unit determines the area that needs to be stored in the cold storage in the future based on the predicted storage volume of the cold storage, and records it as the target temperature control area;

[0157] Step 5: The local temperature control unit sends a control instruction to the temperature control device in the target temperature control area to control the temperature of the target temperature control area to the target temperature set in the cold storage, and sends a control instruction to the temperature control device in areas other than the target temperature control area to control the temperature of the areas other than the target temperature control area to the standby temperature.

[0158] In summary, the advantages of the present invention are: through the application of local temperature control and energy-saving technology, the energy consumption of cold storage is significantly reduced, the energy utilization efficiency is improved, the operating cost of cold storage is reduced, and the green development of the cold chain logistics industry is promoted.

[0159] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A local temperature control method for an energy-saving cold storage, characterized in that: include: According to the temperature control distribution of the temperature regulating equipment in the cold storage, the interior of the cold storage is divided into several areas; Based on the location attributes of each area, determine the priority storage initial index for each area; Get the current storage status of each region; Obtain the historical storage data of the cold storage, and analyze the future storage forecast of the cold storage based on the historical storage data of the cold storage; Based on the predicted storage volume of the cold storage in the future, determine the area of ​​the cold storage that needs to be stored in the future and record it as the target temperature control area; Send control instructions to the temperature regulating device in the target temperature control area to adjust the temperature of the target temperature control area to the target temperature set in the cold storage; Send control instructions to the temperature adjustment devices in areas other than the target temperature control area to adjust the areas other than the target temperature control area to the standby temperature.

2. A local temperature control method for an energy-saving cold storage according to claim 1, characterized in that: The step of determining the initial index for storage priority of each area based on the location attributes of each area specifically includes: Obtain at least one entrance and exit of the cold storage; Obtain historical storage data of the cold storage, and determine the activation frequency of each entrance and exit of the cold storage when storing based on the historical storage data of the cold storage; Get the path length between each area and each cold storage entrance and exit; Combined with the activation frequency and area of ​​each entrance and exit of the cold storage during storage and the length of the path of each entrance and exit of the cold storage, the initial index of the priority storage of the area is calculated through a comprehensive analysis formula; The comprehensive analysis formula is specifically: Where Z is the initial index of the region’s priority storage, p i is the activation frequency of the i-th entrance and exit of the cold storage, s i is the path length between the area and the i-th entrance and exit of the cold storage, and n is the total number of entrances and exits of the cold storage.

3. A local temperature control method for an energy-saving cold storage according to claim 2, characterized in that: The obtaining of historical storage data of the cold storage and analyzing the future predicted storage volume of the cold storage based on the historical storage data of the cold storage specifically includes: Setting a storage analysis cycle; Retrieve the storage data of the cold storage within the m storage analysis cycles closest to the current moment and record them as sample data; Attach a number to each sample data in order from the earliest time to the latest time; Based on the principle of linear regression, a prediction formula is constructed; Substitute all sample data and sample data numbers into the prediction formula to obtain the predicted storage volume of the cold storage in the future storage analysis cycle; The prediction formula is specifically: Where R0 is the predicted storage volume of cold storage in the future storage analysis period, and p j The sample data numbered is j, and m is the total number of sample data.

4. A local temperature control method for an energy-saving cold storage according to claim 3, characterized in that: The method of determining the area that needs to be stored in the cold storage in the future based on the predicted storage volume of the cold storage specifically includes: Based on the initial priority storage index of each area of ​​the cold storage, a storage index function of each area of ​​the cold storage is constructed, wherein the independent variable of the storage index function is the storage capacity of the area, and the independent variable of the storage index function is the priority storage index of the area; Generate at least one storage allocation plan based on the current storage status of each area and the predicted storage volume of cold storage in the future storage analysis period; Determine the storage capacity of each area under each storage allocation plan, and calculate the comprehensive priority index of cold storage storage based on the storage capacity of each area and the storage index function of each area of ​​the cold storage; Determine the number of cold storage areas to be occupied under each storage allocation plan; Combined with the comprehensive priority index of cold storage and the number of occupied cold storage areas, comprehensively evaluate the comprehensive storage index under each storage allocation scheme; Filter out the storage allocation scheme corresponding to the maximum value of the comprehensive storage index, and record this scheme as the optimal storage allocation scheme; The area where materials are stored under the optimal storage allocation plan and the area where materials are currently stored are recorded as the target temperature control area; Wherein, the expression of the storage index function is: In the formula, Z k (x) is the storage index function of the kth region, x is the storage capacity of the region, Z max The maximum value among the initial indexes of all regions is stored first, Z min The minimum value among the initial indexes for all regions is stored first, Z k is the initial index of the priority storage of the kth region, X k is the maximum storage capacity of the kth region.

5. A local temperature control method for an energy-saving cold storage according to claim 4, characterized in that: The generating of at least one storage allocation scheme based on the current storage status of each area and the predicted storage volume of the cold storage in the future storage analysis cycle specifically includes: Generate allocation constraints based on the current storage status of each area and the predicted storage volume of cold storage in the future storage analysis cycle; Generate all storage allocation plans that meet the allocation constraint conditions; The allocation restriction conditions are specifically: Among them, x k is the predicted storage capacity allocated to the kth region, X k0 is the existing storage capacity of the kth region, and U is the total number of regions.

6. A local temperature control method for an energy-saving cold storage according to claim 5, characterized in that: Determining the storage capacity of each area under each storage allocation scheme, and calculating the cold storage storage comprehensive priority index based on the storage capacity of each area and the storage index function of each area of ​​the cold storage specifically includes: Determine the predicted storage capacity allocated to each region under the storage plan, add the predicted storage capacity of the region to the existing storage capacity of the region to obtain the comprehensive storage capacity of the region; Substitute the comprehensive storage capacity of the region into the storage index function of the region to obtain the priority storage index of the region; The priority storage indicators of all areas are accumulated to obtain the comprehensive priority index of cold storage.

7. A local temperature control method for an energy-saving cold storage according to claim 6, characterized in that: The above-mentioned comprehensive storage index under each storage allocation scheme is comprehensively evaluated by combining the comprehensive priority index of cold storage storage and the number of occupied cold storage areas, and specifically includes: Construct a comprehensive evaluation formula based on the comprehensive priority index of cold storage for all storage allocation schemes and the number of occupied cold storage areas; Evaluate the comprehensive storage index under each storage allocation scheme based on the comprehensive evaluation formula; The comprehensive evaluation formula is specifically: Where, T o is the comprehensive storage index under the oth storage allocation scheme, G o is the comprehensive priority index of cold storage under the oth storage allocation scheme, M o is the number of cold storage areas occupied under the oth storage allocation scheme, G max is the maximum value of the comprehensive priority index of cold storage under all storage allocation schemes, G min is the minimum value of the comprehensive priority index of cold storage under all storage allocation schemes, M min is the minimum number of cold storage areas occupied under all storage allocation schemes, M max The maximum number of cold storage areas occupied under all storage allocation schemes.

8. A local temperature control method for an energy-saving cold storage according to claim 7, characterized in that: The method for determining the standby temperature is: Collect and obtain the temperature-time variation curve of each area's temperature regulating equipment under the maximum cooling power; The corresponding time when the target temperature of the cold storage is set on the temperature-time curve of the acquisition area is t g ; The storage analysis cycle duration is recorded as t0; Determine the temperature-time curve of the area g - The temperature corresponding to time t0 is recorded as the standby temperature of the area.

9. A local temperature control system for an energy-saving cold storage, characterized in that: A local temperature control method for implementing the energy-saving cold storage as claimed in any one of claims 1 to 8, comprising: A zone division module, which is used to divide the interior of the cold storage into several zones according to the temperature control distribution of the temperature regulating equipment of the cold storage; A regional analysis module, the regional analysis module is used to determine the priority storage initial index of each region based on the location attributes of each region; A storage status analysis module, which is used to obtain the current storage status of each area, obtain the historical storage data of the cold storage, and analyze the future storage forecast of the cold storage based on the historical storage data of the cold storage; The temperature control module is used to determine the area of ​​the cold storage that needs to be stored in the future based on the predicted storage volume of the cold storage, record it as the target temperature control area, send control instructions to the temperature adjustment device in the target temperature control area, adjust the temperature of the target temperature control area to the target temperature set for the cold storage, and send control instructions to the temperature adjustment devices in areas other than the target temperature control area, adjust the temperature of the areas other than the target temperature control area to the standby temperature.

10. The local temperature control system of an energy-saving cold storage according to claim 9, characterized in that: The temperature control module comprises: A target area determination unit, the target area determination unit is used to determine the area of ​​the cold storage that needs to be stored in the future based on the future storage forecast storage volume of the cold storage, which is recorded as the target temperature control area; The local temperature control unit is used to send control instructions to the temperature control equipment in the target temperature control area to control the temperature of the target temperature control area to the target temperature set in the cold storage, and send control instructions to the temperature control equipment in areas other than the target temperature control area to control the temperature of the areas other than the target temperature control area to the standby temperature.

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