CN119436727A - A kind of intelligent partition management system for refrigerators - Google Patents
A kind of intelligent partition management system for refrigerators Download PDFInfo
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- CN119436727A CN119436727A CN202411928742.0A CN202411928742A CN119436727A CN 119436727 A CN119436727 A CN 119436727A CN 202411928742 A CN202411928742 A CN 202411928742A CN 119436727 A CN119436727 A CN 119436727A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D29/00—Arrangement or mounting of control or safety devices
- F25D29/003—Arrangement or mounting of control or safety devices for movable devices
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D29/00—Arrangement or mounting of control or safety devices
- F25D29/008—Alarm devices
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D2500/00—Problems to be solved
- F25D2500/06—Stock management
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D2600/00—Control issues
- F25D2600/02—Timing
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D2600/00—Control issues
- F25D2600/06—Controlling according to a predetermined profile
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- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Physics & Mathematics (AREA)
- Mechanical Engineering (AREA)
- Thermal Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Cold Air Circulating Systems And Constructional Details In Refrigerators (AREA)
Abstract
本发明属于存货管理技术领域，具体公开了一种冷柜智能分区管理系统，包括分区销管检测模块、冷柜分区调控模块、数据监测分析模块和预测评估预警模块。本发明通过监测预设时间周期T内冷柜中各个分区的销售情况，依据销售量最多和最少的两个分区，得出对应分层板的移动距离预测评估值Pem，使得冷柜内对应的分层板能够根据移动距离预测评估值Pem进行准确、有效的进行调节，将销售量少的分区容积缩小，以扩大销售量多的分区容积，实现对冷柜内有限空间的合理利用和管理，以应对未来不同类型货物的销售趋势，体现了该管理系统的智能化设计。
The present invention belongs to the technical field of inventory management, and specifically discloses an intelligent partition management system for refrigerators, including a partition sales management detection module, a refrigerator partition control module, a data monitoring and analysis module, and a prediction evaluation and early warning module. The present invention monitors the sales of each partition in the refrigerator within a preset time period T, and obtains the predicted evaluation value Pem of the moving distance of the corresponding layer plate according to the two partitions with the largest and smallest sales, so that the corresponding layer plate in the refrigerator can be accurately and effectively adjusted according to the predicted evaluation value Pem of the moving distance, and the volume of the partition with small sales volume is reduced to expand the volume of the partition with large sales volume, so as to realize the reasonable use and management of the limited space in the refrigerator, so as to cope with the sales trend of different types of goods in the future, and embodies the intelligent design of the management system.
Description
Technical Field
The invention belongs to the technical field of inventory management, and particularly relates to an intelligent partition management system of a refrigerator.
Background
The refrigerator management technology is an application technology for effectively managing and monitoring the refrigerator through various technical means and methods, and mainly aims to ensure good conditions of temperature, sanitation, goods storage and the like in the refrigerator and improve the service efficiency and safety of the refrigerator, the refrigerator inner partition management can be implemented according to different requirements and conditions, for example, a refrigerating area, a freezing area and a normal temperature area are divided according to temperature requirements, meat areas, vegetable areas or drink areas and the like are divided according to the classification of goods, each area can be provided with specific temperature control equipment, goods shelves or storage tools so as to better store and manage different types of goods, and the refrigerator inner partition management can be combined with other technical means, such as bar code or RFID tag identification, temperature control system, pipeline arrangement and the like, so that real-time monitoring and data management of different areas are realized.
When the storage of food goods is actually handled, the refrigerator is required to be used for storage, and different types of goods are required to be stored in the refrigerator in a partitioning mode, so that smoothness in goods carrying is ensured, and mishandling is reduced. However, when the refrigerator is subjected to partition management, due to the fact that a certain type of goods are sold in practice, the original storage space is insufficient, if goods are replenished frequently, the contact time between the goods in the refrigerator and the outside is prolonged, the possibility of pollution of the environment in the refrigerator is increased, the specific state of the sanitary environment in the refrigerator is usually observed and controlled manually, and if the situation of misjudgment exists, the further cross pollution of the sanitation in the refrigerator is caused, so that more losses are caused.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides an intelligent partition management system for a refrigerator, which can realize reasonable utilization and management of limited space in the refrigerator so as to cope with the sales trend of different types of goods in the future.
In order to achieve the purpose, the intelligent partition management system of the refrigerator comprises the following technical scheme:
The partition pin pipe detection module is used for detecting and acquiring the sales amount of each partition in a preset time period T, summarizing the total sales amount of each partition in the time period T, and marking the partition with the maximum and minimum total sales amount, wherein the partition is that a plurality of partition plates used for the partition are arranged in the refrigerator, and the refrigerator is divided into a plurality of partitions;
the refrigerator partition regulation and control module is used for acquiring the maximum total sales volume and the minimum total sales volume after pretreatment according to the marking result, calculating and generating a movement distance prediction evaluation value Pem, and executing regulation control of the corresponding laminated plate according to the movement distance prediction evaluation value Pem;
The data monitoring and analyzing module is used for acquiring the bacterial concentration in the refrigerator, the opening and closing times of a door of the refrigerator and the duration of continuous working of an ultraviolet lamp in the refrigerator in the day under the condition that the temperature and the humidity in the refrigerator are in the corresponding standard range values, extracting the sales amount of goods in the refrigerator in the day, and calculating and generating a sanitary evaluation index Hai of the refrigerator in the day;
the predictive evaluation early warning module is used for comparing the sanitation evaluation index Hai of the refrigerator on the same day with a preset evaluation threshold value group, wherein the evaluation threshold value group comprises a first evaluation threshold value And a second evaluation thresholdAnd (2) andIn the followingWhen the first-stage early warning signal is sent out, and a preset first management strategy is executed, whenAnd sending out a second-level early warning signal and executing a preset second management strategy.
Preferably, the inner space of the refrigerator is equally divided by the inner layer plate of the refrigerator in the initial state, the same type of goods are respectively stored in each formed subarea, and the types of the goods stored in each subarea are different.
Preferably, the process of detecting and acquiring the daily sales volume in each subarea is to install weighing sensors embedded below each subarea and used for measuring the weight of goods stored in the subarea above, wherein the daily sales volume in each subarea is the difference between the weight of goods stored in the subarea at the initial moment and the weight of goods stored at the end moment of the day.
Preferably, the pretreatment of the maximum total sales and the minimum total sales comprises dimensionless treatment of the maximum total sales and the minimum total sales, and calculating to obtain an adjustment coefficient Aco of the laminated board before generating a movement distance prediction evaluation value Pem;
according to the maximum total sales and the minimum total sales after pretreatment, the formula according to which the adjustment coefficient Aco of the component laminate is generated is as follows:
;
In the formula, Representing the maximum total sales volume for the corresponding zone,Representing the minimum total sales for the corresponding partition.
Preferably, the movement distance prediction evaluation value Pem is generated according to the adjustment coefficient Aco of the laminated plate, and the following formula is used as follows:
;
In the formula, Is a constant correction coefficient.
Preferably, the bacterial concentration in the refrigerator is detected at a fixed time of day through a biosensor, the number of times of opening and closing the refrigerator door is detected and processed through a door magnetic sensor installed on the refrigerator door, and the duration of continuous working of an ultraviolet lamp in the refrigerator is obtained by monitoring the opening and closing state of the ultraviolet lamp through an ultraviolet lamp sensor installed in the ultraviolet lamp and recording the interval duration of opening and closing through a configuration timer.
Preferably, after the bacteria concentration in the refrigerator, the number of times of opening and closing the refrigerator door, the duration of continuous working of the ultraviolet lamp in the refrigerator and the sales of goods in the refrigerator on the same day are subjected to dimensionless treatment, a sanitary evaluation index Hai of the refrigerator on the same day is generated, and the calculation formula is as follows:
;
Wherein Xn represents the concentration of bacteria in the refrigerator, cs represents the number of times the door of the refrigerator is opened and closed, zg represents the duration of continuous operation of the ultraviolet lamp in the refrigerator, xl represents the sales of goods in the refrigerator on the same day, Respectively the concentration of bacteria in the refrigerator, the times of opening and closing the door of the refrigerator, the duration of continuous working of the ultraviolet lamp in the refrigerator and the preset proportion coefficient of the sales of goods in the refrigerator on the same day, and,Is a constant correction coefficient.
Preferably, after comparing the current day sanitation assessment index Hai of the refrigerator with the preset assessment threshold set, ifNo response is made.
Preferably, the preset first management strategy is based on the sanitation evaluation index Hai and the first evaluation threshold value of the refrigerator on the same dayGenerates a predicted value Cfp of the checking frequency of the corresponding refrigerator according to the following formula:
;
wherein A represents the initial inspection frequency of the corresponding refrigerator, namely the current inspection frequency, e represents a natural constant, B represents an adjusting factor, Indicating a hygiene assessment index difference.
Preferably, the preset second management strategy is to empty the goods in the refrigerator and clean and disinfect the refrigerator, then check the empty goods, send the checked qualified goods into the refrigerator again, and check the empty goods, wherein the goods are qualified goods without breakage and peculiar smell when the goods are checked, and otherwise, are unqualified goods.
The invention has the following beneficial effects:
According to the invention, the sales conditions of all the subareas in the refrigerator within the preset time period T are monitored, and the movement distance prediction evaluation value Pem of the corresponding layering plate is obtained according to the two subareas with the largest sales amount and the smallest sales amount, so that the corresponding layering plate in the refrigerator can be accurately and effectively adjusted according to the movement distance prediction evaluation value Pem, the subarea with small sales amount is reduced, the subarea with large sales amount is enlarged, the reasonable utilization and management of the limited space in the refrigerator are realized, the sales trend of different types of goods in the future is met, and the intelligent design of the management system is embodied.
According to the invention, the automatic partition is carried out on the inside of the refrigerator, meanwhile, the daily sanitary state of the inside of the refrigerator is monitored in real time, under the condition that the reasonable temperature and humidity in the refrigerator are ensured, each factor reflecting the sanitary condition in the refrigerator is comprehensively considered, wherein the sales data used in the partition adjustment of the refrigerator is further utilized, the rationality and the accuracy of the generated sanitary evaluation index Hai are further ensured, after the sanitary evaluation index Hai is subjected to comparative evaluation, the specific condition of the sanitary state in the current refrigerator can be efficiently judged, and a specific strategy is provided to strengthen the management work of the refrigerator, so that the refrigerator is ensured to keep the normal use state.
Drawings
FIG. 1 is a schematic diagram of a modular construction of a refrigerator intelligent partition management system of the present invention;
FIG. 2 is a schematic view of the state of the partition in the cabinet in the invention;
fig. 3 is a flowchart of the overall steps of the intelligent partition management method for the cold cabinet of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention are clearly and completely described below with reference to the accompanying drawings.
Embodiment 1 As shown in fig. 1 and 2, the intelligent partition management system for the refrigerator comprises a partition pin pipe detection module, a refrigerator partition regulation module, a data monitoring and analysis module and a prediction and evaluation early warning module, wherein the application scene of the whole system is to carry out partition regulation management on the sales of goods in each partition in the refrigerator and carry out early warning or checking type management according to the sanitary condition in the refrigerator, and the goods in the refrigerator are usually food wrapped by a paper box, so that accurate and intelligent partition management work is required to be carried out to ensure the safety of the storage process.
The partition pin pipe detection module is used for detecting and acquiring the sales amount of each partition in a preset time period T, summarizing the total sales amount of each partition in the time period T, and marking the partition with the maximum and minimum total sales amount, wherein the partition is that a plurality of partition plates used for the partition are arranged in the refrigerator, and the refrigerator is divided into a plurality of partitions;
The partitions in the refrigerator adopt a multi-layer partition mode, as can be seen from fig. 2, each of the laminated plates installed in the refrigerator is used for supporting and storing food cargos of the same type, volumes of each partition in an initial state are consistent, types of the food cargos stored in each partition are different, and in fig. 2, Z1, Z2 and Z3 respectively represent each partition.
The preset time period T is set according to the actual storage time of the refrigerator.
The process of detecting and obtaining the daily sales in each partition is as follows:
The weighing sensors are embedded below the partitions, for example, except for the bottommost partition, the weighing sensors arranged in the partitions are used for measuring the weight of goods stored in the upper partition, the bottommost partition is provided with the weighing sensors in a refrigerator to finish detection of the weight of the goods stored in the upper partition, and the daily sales amount in each partition is the difference between the weight of the goods stored in the partition at the initial moment and the weight of the goods stored at the end moment of the day, and the difference is the sales amount of the goods in the corresponding partition.
The total sales of all the subareas in the time period T can be summarized on the premise of not carrying out replenishment because the storage capacity of the refrigerator is larger, and the total sales of the subareas corresponding to each day in the time period T can be expressed, for example, the total sales of the subareas distributed from top to bottom are respectively 70kg, 30kg, 50kg and 20kg, the uppermost subarea is marked as the subarea with the largest total sales, and the lowermost subarea is marked as the subarea with the smallest total sales.
The refrigerator partition regulation and control module is used for acquiring the maximum total sales volume and the minimum total sales volume after pretreatment according to the marking result, calculating and generating a movement distance prediction evaluation value Pem, and executing regulation control of the corresponding laminated plate according to the movement distance prediction evaluation value Pem.
The preprocessing process for the maximum total sales volume and the minimum total sales volume comprises the step of carrying out dimensionless processing on the maximum total sales volume and the minimum total sales volume, removing data units and facilitating subsequent calculation and processing.
The process of generating the movement distance prediction evaluation value Pem is as follows:
S101, generating an adjusting coefficient Aco of the component laminate according to the maximum total sales volume and the minimum total sales volume after pretreatment, wherein the adjusting coefficient Aco is based on the following formula:
;
In the formula, Representing the maximum total sales volume for the corresponding zone,Representing a minimum total sales volume for the corresponding partition;
s102, generating a movement distance prediction evaluation value Pem according to an adjustment coefficient Aco of the laminated plate, wherein the formula is as follows:
;
In the formula, Is a constant correction coefficient, the specific value of which can be set by user adjustment or generated by fitting an analysis function, andThe value range of (2) is 0-1.
For example, if the refrigerator has three layers, namely, layer A, layer B and layer C (namely, Z1, Z2 and Z3) from top to bottom, the initial weight and the variation of each of the layers are respectively that layer A is 100kg, the variation is 10kg, layer B is 120kg, the variation is 15kg, layer C is 150kg, and the variation is 5kg, so the adjustment coefficient aco= (15-5)/(15+5) =0.5, and the actual constant correction coefficient is the sameWhen the value is 0.1, the movement distance predicts the estimated valueTherefore, the layering plate between the layers B and C moves downwards by 0.12m, so that the volume which can be stored by the corresponding layer B with large variation is increased, the volume which can be stored by the corresponding layer C with small variation is decreased, good management and goods layout organization are facilitated, the variation is large, good sales of the corresponding type of goods are achieved, and through layout adjustment, sufficient quantity and storage space of the good sales goods are ensured according to prediction of future good sales and sales promotion degree.
For the configuration of each laminated board in the freezer, step-by-step mechanism is all installed to the both sides of laminated board, and the lead screw in step-by-step mechanism passes through the laminated board, and under step-by-step motor's drive for the lead screw rotates, through changing step-by-step motor's rotation direction, thereby makes corresponding laminated board reciprocate in the freezer, and the distance of reciprocate can be according to step-by-step motor's rotation number decision, because step-by-step mechanism such structure belongs to conventional setting, so not mark in the figure.
The sales conditions of all the subareas in the refrigerator within the preset time period T are monitored, and the movement distance prediction evaluation value Pem of the corresponding layering plate is obtained according to the two subareas with the maximum sales amount and the minimum sales amount, so that the corresponding layering plate in the refrigerator can be accurately and effectively adjusted according to the movement distance prediction evaluation value Pem, the subarea with the small sales amount is reduced, the subarea with the large sales amount is enlarged, the reasonable utilization and management of the limited space in the refrigerator are realized, the sales trend of different types of goods in the future is met, and the intelligent design of the management system is embodied.
The data monitoring and analyzing module is used for acquiring the bacterial concentration in the refrigerator, the opening and closing times of a door of the refrigerator and the duration of continuous working of an ultraviolet lamp in the refrigerator in the day under the condition that the temperature and the humidity in the refrigerator are in the corresponding standard range values, extracting the sales amount of goods in the refrigerator in the day, and calculating and generating a sanitary evaluation index Hai of the refrigerator in the day;
The temperature in the refrigerator is an important parameter affecting the storage and fresh-keeping effects of food and goods, generally, the temperature of the refrigerator should be kept between 0 ℃ and 4 ℃, the higher or lower temperature may cause food deterioration, spoilage or freezing, so that the temperature corresponding to the standard range value is 0-4 ℃, for example, the temperature in the refrigerator is 8 ℃, the temperature exceeds the proper storage temperature range of the food, the vegetable moisture loss is accelerated, the fruits are softened and rotten, the humidity in the refrigerator plays an important role in the storage and fresh-keeping of the food, the humidity in the refrigerator should be kept at 75% -85%, the proper humidity can keep the moisture of the food, the food is prevented from being dried or excessively wet, for example, if the humidity in the refrigerator is 61%, the surface of the food is dehydrated and the texture is hardened, otherwise, the humidity is excessively high, the food is possibly wetted and mold is automatically sent after the temperature and the humidity in the refrigerator exceed the corresponding standard range value, the temperature or the humidity in the refrigerator is automatically sent to early warning signals, and the temperature or humidity is adjusted in time, so that the smooth storage work is ensured.
The bacterial concentration in the refrigerator is detected at a fixed time of day, such as 12 hours in the early morning, the bacterial concentration in the refrigerator can be detected by installing a biosensor in the refrigerator, the biosensor generally uses biological materials and biological components to interact with bacteria, the bacterial concentration is quantitatively or qualitatively detected by measuring signals generated by biological reaction, the used biosensor comprises an immunosensor, an enzyme sensor and a cell sensor, the enzyme sensor is used for effectively detecting the bacterial concentration in the refrigerator, the bacterial concentration in the refrigerator is an important parameter for measuring the sanitary condition of the refrigerator, and the excessive bacterial concentration can cause food pollution and spread diseases, for example, the bacterial concentration in the refrigerator is 100cfu/cm < 2 >, the bacterial concentration is low, the quality and the safety of foods are ensured, and the safety of foods are ensured.
The door magnetic sensor is arranged on the refrigerator door for detection, the door magnetic sensor can record the opening and closing actions of the door each time, the ultraviolet lamp sensor is arranged in the ultraviolet lamp to monitor the state of the lamp, the opening and closing time of the lamp is recorded through the configuration timer, and each sensor transmits data to the database and extracts the opening and closing times of the refrigerator door and the duration of continuous operation of the ultraviolet lamp in the refrigerator;
The sales amount of the goods in the refrigerator on the same day represents the sum of sales amounts of the goods in each subarea in the refrigerator, namely the sum of difference values of the weight of the goods stored from the initial moment of storing the full goods and the weight of the goods stored at the end moment of the same day in each subarea.
After dimensionless treatment is carried out on the concentration of bacteria in the refrigerator, the switching times of the refrigerator door, the duration of continuous working of the ultraviolet lamp in the refrigerator and the sales of goods in the refrigerator on the same day, a sanitation evaluation index Hai of the refrigerator on the same day is generated, and the calculation formula is as follows:
;
Wherein Xn represents the concentration of bacteria in the refrigerator, cs represents the number of times the door of the refrigerator is opened and closed, zg represents the duration of continuous operation of the ultraviolet lamp in the refrigerator, xl represents the sales of goods in the refrigerator on the same day, Respectively the concentration of bacteria in the refrigerator, the times of opening and closing the door of the refrigerator, the duration of continuous working of the ultraviolet lamp in the refrigerator and the preset proportion coefficient of the sales of goods in the refrigerator on the same day, andIn this embodiment, the number of the first and second electrodes,,Is a constant correction coefficient, the specific value of which can be set by user adjustment or generated by fitting an analysis function, andThe value range of (2) is 0-1;
the higher the bacterial concentration Xn in the refrigerator, the worse the sanitary state in the refrigerator, the higher the sanitary evaluation index Hai in the refrigerator, so the bacterial concentration Xn in the refrigerator is in direct proportion to the sanitary evaluation index Hai in the refrigerator, the more the number of times Cs of opening and closing the refrigerator door, the longer the time of contacting with the outside air in the refrigerator, the higher the possibility of causing pollution in the refrigerator, the higher the sanitary evaluation index Hai in the refrigerator, so the number of times Cs of opening and closing the refrigerator door is in direct proportion to the sanitary evaluation index Hai in the refrigerator, the longer the duration Zg of continuous operation of the ultraviolet lamp in the refrigerator, the better the sanitary state in the refrigerator, the lower the sanitary evaluation index Hai in the refrigerator, so the duration Zg of continuous operation of the ultraviolet lamp in the refrigerator is in inverse proportion to the sanitary evaluation index Hai in the refrigerator, the more sales amount Xl of goods in the refrigerator, the number of times of frequent opening and closing of the cabinet door and contacting with the goods in the refrigerator, the risk of bacterial transmission is increased, and the sanitary state in the refrigerator is likely to be worse the sales amount Xl of goods in the refrigerator and in direct proportion to the sanitary evaluation index Hai in the refrigerator.
The predictive evaluation early warning module is used for comparing the sanitation evaluation index Hai of the refrigerator on the same day with a preset evaluation threshold value group, wherein the evaluation threshold value group comprises a first evaluation threshold valueAnd a second evaluation thresholdAnd (2) and;
If it isThe sanitary state in the refrigerator on the same day is normal, and the system does not respond;
if it is The method comprises the steps of indicating that the sanitation state in a refrigerator on the same day is possibly abnormal, sending a first-level early warning signal, and executing a preset first management strategy;
if it is The severity of the first-level early warning signal is smaller than that of the second-level early warning signal, for example, the first-level early warning signal is in the form of a stroboscopic yellow lamp, the stroboscopic frequency is 10Hz, the stroboscopic frequency is 10 times per second, and the second-level early warning signal is in the form of a stroboscopic red lamp, the stroboscopic frequency is 20Hz and the stroboscopic frequency is 20 times per second.
The preset first management strategy is based on the sanitation evaluation index Hai and the first evaluation threshold value of the refrigerator on the same dayGenerates a predicted value Cfp of the checking frequency of the corresponding refrigerator according to the following formula:
;
Wherein A represents the initial inspection frequency of the corresponding refrigerator, namely the current inspection frequency, which is customized according to the actual situation and the requirement, e represents the natural constant, and B represents the regulating factor for controlling the difference value of the sanitary evaluation index The relation between the detection frequency predicted value Cfp and the specific value of the detection frequency predicted value Cfp can be adjusted and set by a user or generated by fitting an analysis function, and the value range of B is 1-3.
The second preset management strategy is to empty the goods in the refrigerator and clean and disinfect the refrigerator, then check the empty goods, send the checked qualified goods into the refrigerator again, and check the empty goods, if the goods are not damaged and have no peculiar smell, the goods are qualified, otherwise, the goods are unqualified.
The method is characterized in that the automatic partition is carried out on the inside of the refrigerator, meanwhile, the daily sanitary state of the inside of the refrigerator is monitored in real time, under the condition that the reasonable temperature and humidity in the refrigerator are ensured, all factors reflecting the sanitary condition in the refrigerator are comprehensively considered, sales data used when the refrigerator is regulated in a partition mode are further utilized, the rationality and the accuracy of the generated sanitary evaluation index Hai are further ensured, after the sanitary evaluation index Hai is compared and evaluated, the specific condition of the sanitary state in the current refrigerator can be efficiently judged, and a specific strategy is provided to strengthen the management work of the refrigerator, so that the refrigerator is ensured to keep the normal use state.
Embodiment 2 As shown in fig. 3, the intelligent partition management method of the refrigerator based on the system in embodiment 1 comprises the following specific steps:
S1, arranging a plurality of layering plates for partitioning in a refrigerator, detecting and acquiring the sales volume of each partition in each preset time period T, summarizing the total sales volume of each partition in the time period T, and marking the partition with the largest and smallest total sales volume;
S2, acquiring the maximum total sales and the minimum total sales after pretreatment according to the marking result, calculating and generating a movement distance prediction evaluation value Pem, and executing adjustment control of the corresponding laminated plate according to the movement distance prediction evaluation value Pem;
S3, under the condition that the temperature and the humidity in the refrigerator are in the corresponding standard range values, acquiring the bacterial concentration in the refrigerator, the number of times of opening and closing the refrigerator door and the duration of continuous working of the ultraviolet lamp in the refrigerator in one day, extracting the sales amount of goods in the refrigerator in the same day, and calculating and generating a sanitary evaluation index Hai of the refrigerator in the same day;
S4, comparing the sanitation evaluation index Hai of the refrigerator on the same day with a preset evaluation threshold group, wherein the evaluation threshold group comprises a first evaluation threshold and a second evaluation threshold, and the first evaluation threshold is smaller than the second evaluation threshold;
If Hai is smaller than the first evaluation threshold, the state of sanitation in the refrigerator on the same day is normal, no response action is performed, if the first evaluation threshold is smaller than or equal to Hai and smaller than or equal to the second evaluation threshold, the state of sanitation in the refrigerator on the same day is possibly abnormal, a first-stage early warning signal is sent out, a first management strategy is executed, if the second evaluation threshold is smaller than Hai, the state of sanitation in the refrigerator on the same day is abnormal, a second-stage early warning signal is sent out, and a second management strategy is executed.
In the application, a plurality of formulas are all obtained by taking the numerical calculation after dimensionality removal, and the formulas are formulas which are obtained by acquiring a large amount of data and performing software simulation to obtain the latest real situation, wherein the formulas are set by a person skilled in the art according to the actual situation. The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product.
Claims (10)
1. An intelligent partition management system for a refrigerator, comprising:
The partition pin pipe detection module is used for detecting and acquiring the sales amount of each partition in a preset time period T, summarizing the total sales amount of each partition in the time period T, and marking the partition with the maximum and minimum total sales amount, wherein the partition is that a plurality of partition plates used for the partition are arranged in the refrigerator, and the refrigerator is divided into a plurality of partitions;
the refrigerator partition regulation and control module is used for acquiring the maximum total sales volume and the minimum total sales volume after pretreatment according to the marking result, calculating and generating a movement distance prediction evaluation value Pem, and executing regulation control of the corresponding laminated plate according to the movement distance prediction evaluation value Pem;
The data monitoring and analyzing module is used for acquiring the bacterial concentration in the refrigerator, the opening and closing times of a door of the refrigerator and the duration of continuous working of an ultraviolet lamp in the refrigerator in the day under the condition that the temperature and the humidity in the refrigerator are in the corresponding standard range values, extracting the sales amount of goods in the refrigerator in the day, and calculating and generating a sanitary evaluation index Hai of the refrigerator in the day;
the predictive evaluation early warning module is used for comparing the sanitation evaluation index Hai of the refrigerator on the same day with a preset evaluation threshold value group, wherein the evaluation threshold value group comprises a first evaluation threshold value And a second evaluation thresholdAnd (2) andIn the followingWhen the first-stage early warning signal is sent out, and a preset first management strategy is executed, whenAnd sending out a second-level early warning signal and executing a preset second management strategy.
2. The intelligent partition management system of a refrigerator according to claim 1, wherein the inner space of the refrigerator is equally divided by the inner layer plates of the refrigerator in an initial state, the same type of goods are respectively stored in each formed partition, and the types of the goods stored in each partition are different.
3. The intelligent partition management system for refrigerator according to claim 2, wherein the process of detecting and obtaining the daily sales volume in each partition is to install a weighing sensor embedded below each partition for measuring the weight of the goods stored in the upper partition, and the daily sales volume in each partition is the difference between the weight of the goods stored in the partition at the initial time of full goods and the weight of the goods stored at the end time of the day.
4. The intelligent partition management system for refrigerator according to claim 3, wherein the preprocessing of the maximum and minimum total sales comprises dimensionless processing of the maximum and minimum total sales, and calculating an adjustment coefficient Aco of the laminated board before generating the movement distance prediction evaluation value Pem;
according to the maximum total sales and the minimum total sales after pretreatment, the formula according to which the adjustment coefficient Aco of the component laminate is generated is as follows:
;
In the formula, Representing the maximum total sales volume for the corresponding zone,Representing the minimum total sales for the corresponding partition.
5. The intelligent partition management system for a refrigerator according to claim 4, wherein the movement distance prediction evaluation value pems is generated according to an adjustment coefficient Aco of a laminated plate according to the following formula:
;
In the formula, Is a constant correction coefficient.
6. The intelligent partition management system for a refrigerator according to claim 5, wherein the concentration of bacteria in the refrigerator is detected by a biosensor at a fixed time of day, the number of times the refrigerator door is opened and closed is detected by installing a door magnetic sensor on the refrigerator door, and the duration of continuous operation of the ultraviolet lamp in the refrigerator is obtained by installing an ultraviolet lamp sensor in the ultraviolet lamp to monitor the state of the ultraviolet lamp and recording the switch interval duration by configuring a timer.
7. The intelligent partition management system for a refrigerator according to claim 6, wherein after the bacterial concentration in the refrigerator, the number of times of opening and closing a door of the refrigerator, the duration of continuous operation of an ultraviolet lamp in the refrigerator and the sales of goods in the refrigerator on the same day are subjected to dimensionless treatment, a sanitary evaluation index Hai of the refrigerator on the same day is generated, and the calculation formula is as follows:
;
Wherein Xn represents the concentration of bacteria in the refrigerator, cs represents the number of times the door of the refrigerator is opened and closed, zg represents the duration of continuous operation of the ultraviolet lamp in the refrigerator, xl represents the sales of goods in the refrigerator on the same day, Respectively the concentration of bacteria in the refrigerator, the times of opening and closing the door of the refrigerator, the duration of continuous working of the ultraviolet lamp in the refrigerator and the preset proportion coefficient of the sales of goods in the refrigerator on the same day, and,Is a constant correction coefficient.
8. The intelligent partition management system for refrigerator according to claim 7, wherein after comparing the sanitary evaluation index Hai of the current day of refrigerator with the preset evaluation threshold set, if yesNo response is made.
9. The intelligent compartment management system of claim 8, wherein the predetermined first management strategy is based on a sanitation assessment index Hai and a first assessment threshold for a day of the refrigeratorGenerates a predicted value Cfp of the checking frequency of the corresponding refrigerator according to the following formula:
;
wherein A represents the initial inspection frequency of the corresponding refrigerator, namely the current inspection frequency, e represents a natural constant, B represents an adjusting factor, Indicating a hygiene assessment index difference.
10. The intelligent partition management system for a refrigerator according to claim 9, wherein the preset second management policy is to empty the goods in the refrigerator, clean and sterilize the refrigerator, check the empty goods, send the checked qualified goods back into the refrigerator, and check the empty goods, wherein the goods are qualified goods without breakage and peculiar smell, and are unqualified goods.
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