CN-121981653-A - Inventory real-time monitoring and intelligent loss reporting processing method and system

Abstract

The invention relates to a method and a system for real-time inventory monitoring and intelligent loss reporting processing, which relate to the technical field of warehouse management and comprise the steps of acquiring a current area number, a corresponding temperature and humidity time table and a corresponding weight time table; searching a storage temperature range, a storage humidity range and a storage weight from a regional information database, searching a temperature value and a humidity value from a temperature and humidity time table, searching a weight value according to a weight time table, outputting a temperature and humidity abnormal signal when adjacent abnormal temperature and humidity numbers exist, calculating a weight reduction ratio according to the weight value and the storage weight, outputting a weight abnormal signal when the weight reduction ratio is larger than a preset ratio threshold value, generating loss reporting information when the temperature and humidity abnormal signal or the weight abnormal signal exists, obtaining a supplement scheme according to the current regional material information and the loss reporting information, and outputting the loss reporting information and the supplement scheme together. The invention has the effect of timely finding the deterioration condition of the materials in storage.

Inventors

• You Sha
• DONG JIAWEI

Assignees

• 杭州雄伟科技开发股份有限公司

Dates

Publication Date

20260505

Application Date

20260407

Claims (10)

1. 1. The inventory real-time monitoring and intelligent loss reporting processing method is characterized by comprising the following steps of: Step 1, acquiring a current area number, and acquiring a corresponding temperature and humidity time table and a corresponding weight time table according to the current area number; step 2, searching a storage temperature range, a storage humidity range and a storage weight from a preset area information database according to the current area number; Step 3, searching corresponding temperature values and humidity values from the temperature and humidity time table according to a time axis, and searching weight values according to the time axis according to the weight time table; Step 4, when the temperature value does not fall into the storage temperature range or the humidity value does not fall into the storage humidity range, recording a current temperature and humidity number according to a temperature and humidity time table and defining the current temperature and humidity number as an abnormal temperature and humidity number; Step 5, outputting a temperature and humidity abnormality signal when adjacent abnormality temperature and humidity numbers exist; step 6, calculating a weight reduction ratio according to the weight value and the storage weight, and outputting a weight abnormality signal when the weight reduction ratio is larger than a preset ratio threshold; step 7, when a temperature and humidity abnormal signal or a weight abnormal signal exists, searching the current area material information from an area information database according to the current area number, and generating loss reporting information according to the current area material information; and 8, obtaining a goods supplementing scheme according to the material information and the loss reporting information of the current area, and outputting the loss reporting information and the goods supplementing scheme together.
2. 2. The method for real-time inventory monitoring and intelligent loss reporting processing according to claim 1, wherein when a temperature and humidity abnormal signal or a weight abnormal signal exists, searching the current area material information from the area information database according to the current area number, and generating loss reporting information according to the current area material information comprises the following steps: step 70, when a temperature and humidity abnormal signal or a weight abnormal signal exists, searching current area material information from an area information database according to the current area number, and extracting current material normal characteristics and current material deterioration characteristics from the current area material information; step 71, acquiring a current area image according to the current area number, and analyzing the current area image to obtain the current material characteristics; step 72, obtaining the current material deterioration rate according to the current material normal characteristics, the current material characteristics and the current material deterioration characteristics; step 73, if the current deterioration rate is larger than a preset deterioration early-warning value, acquiring deterioration weight; step 74, searching the purchase price from the regional information database according to the current regional number, and calculating the loss value according to the metamorphic weight and the purchase price; and 75, generating loss reporting information according to the current area material information, the loss value and the current area image.
3. 3. The method for real-time inventory monitoring and intelligent damage reporting processing according to claim 2, wherein the method for obtaining the damage reporting scheme according to the current area material information and the damage reporting information and outputting the damage reporting information and the damage reporting scheme together comprises the following steps: step 80, calculating the residual weight according to the stored weight and the metamorphic weight; step 81, searching out the recent material demand and purchasing information from the regional information database according to the current regional number; step 82, substituting the demand of the near-term materials into a preset standard model for calculation to obtain the expected daily demand; Step 83, extracting a current material quality guarantee period from the material information of the current area, and calculating the material demand according to the material quality guarantee period and the expected daily demand; Step 84, calculating the goods supplementing quantity according to the material demand quantity and the residual weight; and 85, generating a replenishment scheme according to the purchase information and the replenishment quantity, and outputting the replenishment scheme.
4. 4. The method for monitoring and intelligently reporting damage to inventory in real time according to claim 1, further comprising a control method when no adjacent abnormal temperature and humidity numbers exist, the method comprising: Step 50, when no adjacent abnormal temperature and humidity numbers exist, the number of the temperature and humidity numbers is found out according to a temperature and humidity time table; 51, when the number of the temperature and humidity numbers is larger than the preset maximum judgment number, the temperature and humidity judgment numbers are screened out from the temperature and humidity timetable according to the maximum judgment number; step 52, finding out the number of abnormal temperature and humidity numbers according to the temperature and humidity judgment numbers; step 53, calculating an abnormal proportion according to the number of the abnormal temperature and humidity numbers and the maximum judgment number; step 54, outputting a temperature and humidity abnormality signal when the abnormality proportion is larger than a preset dangerous proportion; and 55, screening out the temperature and humidity judgment numbers from the temperature and humidity time table according to the number of the temperature and humidity numbers when the number of the temperature and humidity numbers is smaller than the maximum judgment number, and executing the steps 51 to 54.
5. 5. The method for real-time inventory monitoring and intelligent loss reporting according to claim 4, further comprising another control method when the number of temperature and humidity numbers is smaller than the maximum number, the method comprising: step 550, when the number of the temperature and humidity numbers is smaller than the maximum judgment number, respectively drawing a temperature change curve and a humidity change curve according to a temperature and humidity time table; step 551, calculating the maximum temperature change rate and the maximum humidity change rate according to the temperature change curve and the humidity change curve; And 552, outputting a temperature and humidity abnormality signal when the maximum temperature change rate is greater than the preset safe temperature change rate or the maximum humidity change rate is greater than the preset safe humidity change rate.
6. 6. The method for real-time inventory monitoring and intelligent loss reporting according to claim 1, further comprising an optimization method for outputting a weight anomaly signal when the weight reduction ratio is greater than a preset ratio threshold, the method comprising: step 60, searching a weight storage time point and a weight value time point according to the regional information database when the weight reduction ratio is larger than a preset ratio threshold; Step 61, calculating a time interval according to the weight value time point and the stored weight time point; step 62, outputting a weight abnormality signal when the time interval is smaller than a preset interval threshold; and 63, when the time interval is larger than the interval threshold value, not outputting a weight abnormality signal.
7. 7. The method for real-time inventory monitoring and intelligent loss reporting according to claim 6, further comprising an optimization method for not outputting a weight anomaly signal when the time interval is greater than the interval threshold, the method comprising: step 630, searching a comparison weight number from the weight time table according to the weight value time point and the time interval when the time interval is larger than the interval threshold; step 631, finding out the relative weight value from the weight schedule according to the relative weight number; step 632, calculating the relative reduction ratio according to the weight value and the comparison weight value; Step 633, outputting a weight abnormality signal when the relative reduction ratio is greater than the ratio threshold; Step 634, when the relative reduction ratio is smaller than the ratio threshold, not outputting a weight abnormality signal.
8. 8. The method for monitoring and intelligently reporting damage to inventory in real time according to claim 2, further comprising a control method when the current deterioration rate is smaller than the deterioration early warning value, the method comprising: Step 730, if the current deterioration rate is smaller than the deterioration early warning value, searching a deterioration rule image from the area information database according to the current area number; Step 731, analyzing according to the current area image and the deterioration law image to obtain the expected material deterioration rate; 732, acquiring the deterioration weight when the expected material deterioration rate is larger than the deterioration early warning value; And 733, when the expected material deterioration rate is not greater than the deterioration early-warning value, not obtaining the deterioration weight.
9. 9. The method for real-time inventory monitoring and intelligent loss reporting processing according to claim 1, further comprising an optimization method for acquiring a temperature and humidity schedule, the method comprising: Step 10, acquiring a current temperature value and a current humidity value; step 11, if the current temperature value and the current humidity value fall within a preset normal temperature and humidity range, inputting the current temperature value and the current humidity value into a temperature and humidity time table; And step 12, outputting an abnormal temperature and humidity signal if the current temperature value or the current humidity value does not fall into the normal temperature and humidity range.
10. 10. An inventory real-time monitoring and intelligent loss reporting processing system, which is characterized by comprising: The acquisition module is used for acquiring the current region number, the temperature and humidity time table and the weight time table; A memory for storing a program of a control method of the inventory real-time monitoring and intelligent loss reporting processing method according to any one of claims 1 to 9; and the processor loads and executes the programs in the memory.

Description

Inventory real-time monitoring and intelligent loss reporting processing method and system Technical Field The invention relates to the technical field of warehouse management, in particular to a method and a system for monitoring inventory in real time and intelligently reporting loss. Background Inventory management in the catering industry is a key link for ensuring freshness of food materials, reducing waste and effectively controlling operation cost, and directly influences profitability and service quality of restaurants. In the related art, conventional inventory management mostly adopts a manual regular inspection mode, and a worker checks each storage area according to a certain time period to record information such as storage states of materials. For the related technology, the traditional inventory management method relies on manual regular inspection, lacks real-time performance, is difficult to monitor the state of materials in real time, and is easy to miss the condition of material deterioration due to longer time interval. Disclosure of Invention In order to discover the deterioration condition of materials in storage in time, the invention provides a method and a system for monitoring inventory in real time and intelligently reporting damage. In a first aspect, the invention provides a method for monitoring inventory in real time and processing intelligent loss report, which adopts the following technical scheme: A method for monitoring inventory in real time and processing intelligent loss report comprises the following steps: Step 1, acquiring a current area number, and acquiring a corresponding temperature and humidity time table and a corresponding weight time table according to the current area number; step 2, searching a storage temperature range, a storage humidity range and a storage weight from a preset area information database according to the current area number; Step 3, searching corresponding temperature values and humidity values from the temperature and humidity time table according to a time axis, and searching weight values according to the time axis according to the weight time table; Step 4, when the temperature value does not fall into the storage temperature range or the humidity value does not fall into the storage humidity range, recording a current temperature and humidity number according to a temperature and humidity time table and defining the current temperature and humidity number as an abnormal temperature and humidity number; Step 5, outputting a temperature and humidity abnormality signal when adjacent abnormality temperature and humidity numbers exist; step 6, calculating a weight reduction ratio according to the weight value and the storage weight, and outputting a weight abnormality signal when the weight reduction ratio is larger than a preset ratio threshold; step 7, when a temperature and humidity abnormal signal or a weight abnormal signal exists, searching the current area material information from an area information database according to the current area number, and generating loss reporting information according to the current area material information; and 8, obtaining a goods supplementing scheme according to the material information and the loss reporting information of the current area, and outputting the loss reporting information and the goods supplementing scheme together. Through adopting above-mentioned technical scheme, through humiture time table and weight time table, acquire the weight data of the environment of storage and material in real time, can in time discern humiture unusual or weight unusual to automatic trigger is lost and is mended goods flow, realizes real-time supervision and unusual quick response of inventory state, promotes inventory management's automation level. Optionally, when the temperature and humidity abnormal signal or the weight abnormal signal exists, the method for searching the current area material information from the area information database according to the current area number and generating the loss reporting information according to the current area material information includes: step 70, when a temperature and humidity abnormal signal or a weight abnormal signal exists, searching current area material information from an area information database according to the current area number, and extracting current material normal characteristics and current material deterioration characteristics from the current area material information; step 71, acquiring a current area image according to the current area number, and analyzing the current area image to obtain the current material characteristics; step 72, obtaining the current material deterioration rate according to the current material normal characteristics, the current material characteristics and the current material deterioration characteristics; step 73, if the current deterioration rate is larger than a preset deterioration early-warning value,