An integrated service system for the Chinese medicinal materials industry chain based on big data

Abstract

The invention discloses an integrated service system for the Chinese medicinal materials industry chain based on big data, relates to the technical field of integrated industry chain, and solves the technical problem of untimely feedback from the production and marketing ends of the Chinese medicinal materials industry chain. The invention comprises a big database, a planting and purchasing end, a warehouse storage end, a computing module and a market sales end, wherein the big database is used for storing, transmitting and processing the backup of original data, the market sales end is used for uploading the market sales data and receiving the computing results given by the computing module, the warehouse storage end is used by warehouse management personnel, the planting and purchasing end is used by purchasing and planting personnel, and the computing module is used to obtain the data uploaded by the market sales end and the planting and purchasing end operators, and specifically analyze the data. The invention solves the problem that the timely synchronization rate of raw material information and market information in the Chinese medicinal materials market is not enough, resulting in the mismatch between raw material output and market demand, and further leading to the problem of unfair competition in the market.

Description

Technical Field

[0001] The present invention belongs to the field of data analysis and processing, and relates to industrial chain integration technology, and specifically is an integrated service system for the Chinese medicinal materials industrial chain based on big data. Background Art

[0002] Integration strategy refers to a strategy that enterprises make full use of their advantages in products, technology and market, and develop the enterprise in depth and breadth according to the direction of material flow. Vertical integration strategy is a common form of integration strategy. Vertical integration refers to the combination with the users of enterprise products or the suppliers of raw materials or the expansion of these business areas on their own. It means that enterprises develop upstream or downstream of existing businesses on the basis of existing businesses, forming supply-production, production-sales or supply-production-sales integration to expand the existing business scope.

[0003] Chinese herbal medicine refers to the native herbal medicine used under the guidance of traditional Han medicine to treat diseases. Generally, traditional Chinese herbal medicine pays attention to authentic herbal medicine, which refers to herbal medicine produced in a region with specific natural conditions and ecological environment. Because the production is relatively concentrated, the cultivation technology, harvesting and processing are also certain, so that the quality and efficacy of the same herbal medicine produced in other regions are better;

[0004] However, some Chinese medicinal materials can only be used for specific diseases. Therefore, the types and quantities of Chinese medicinal materials in the Chinese medicinal materials market are often difficult to predict and grasp. This causes farmers to plant medicinal materials based on the best-selling types of the previous year, but because it is contrary to the actual market, it leads to an embarrassing situation where they plant what is not needed and the demand is not planted. This situation has an adverse impact on both the supply side and the consumption side of the market. For actual patients, it causes drug prices to rise, and some special medicines are even hard to find.

[0005] Based on this, we propose an integrated service system for the Chinese medicinal materials industry chain based on big data, through which we can solve the problems existing in the above market. Summary of the invention

[0006] In order to solve the problems existing in the above-mentioned scheme, the present invention provides an integrated service system for the Chinese medicinal materials industry chain based on big data. The present invention adopts a big data analysis mode. Through the cooperation of five core modules and ports including a big database, a warehouse storage end, a planting and purchasing end, a computing module, and a market sales end, all data of Chinese medicinal materials from the planting end of farmers to the market sales end are controlled, and the relevant data are fitted and calculated by the computing module, and then combined with weather, data from previous years, storage data of the warehouse storage end and other information to calculate the overall planting and market sales plan for the next year, and the calculated results are transmitted to the planting and purchasing end and the market sales end for reference by the work supervisors of the relevant ports to formulate plans. The system has clear information processing and accurate data analysis, and has a strong grasp of the integration process of the entire Chinese medicinal materials industry, and can solve the problem of uncoordinated supply and demand in the Chinese medicinal materials market in most cases on the market.

[0007] The purpose of the present invention can be achieved by the following technical solutions:

[0008] An integrated service system for the Chinese herbal medicine industry chain based on big data, including a big database, a planting and purchasing end, a warehouse storage end, a computing module, and a market sales end;

[0009] The large database is used for storage, transmission and backup of raw data and processed data;

[0010] The market sales terminal is used to upload market sales data and receive calculation results given by the calculation module;

[0011] The planting and purchasing terminal is used to upload the purchasing and planting data of Chinese medicinal materials and receive the calculation results given by the calculation module;

[0012] The warehouse storage end is used to provide real-time feedback of the stored drug information in the warehouse to the planting procurement end and the market sales end, and upload the stored drug information to the big database in real time. At the same time, the warehouse storage end is also used for logistics transfer and drug storage between the planting procurement end and the market sales end;

[0013] The calculation module is used to obtain the data uploaded by the operators of the market sales end and the planting procurement end, and compare it with the data uploaded to the big database by the market sales end and the planting procurement end;

[0014] When the data is confirmed to be correct, it is calculated and the calculation results are fed back to the market sales end and the planting and purchasing end;

[0015] When the data is wrong, the signal will be fed back to the planting and purchasing end and the market sales end to be resent until the correct data is obtained.

[0016] Furthermore, the original data is data uploaded by the staff at the planting and purchasing end, the market sales end, and the warehouse storage end;

[0017] The market sales data includes the types of medicinal materials sold, the quantity of each type of medicinal materials sold, the regions where the medicinal materials are sold, the quality of the medicinal materials sold, and the objects to whom the medicinal materials are sold;

[0018] The stored drug information includes the types of stored drugs, the quantity of each type of stored drugs, the time of storing each type of drugs, the batches of each type of stored drugs, and the quantity of stored drugs that have deteriorated;

[0019] The purchasing and planting data of Chinese medicinal materials include the types of purchased medicinal materials, the quantities of purchased medicinal materials, the types of medicinal materials planted by oneself, and the quantities of medicinal materials planted by oneself.

[0020] Further, the computing module includes a data preprocessing unit, an information sending unit and a data processing unit, wherein the information sending unit is used to transmit the information output by the entire computing module to the corresponding port;

[0021] The data preprocessing unit is used to verify and judge the obtained information, and its steps are as follows;

[0022] Step A1: Group the information obtained from the market sales and planting procurement ends and the information data in the big database into 8-bit groups, and mark each group of information obtained from the market sales or planting procurement ends as i n , where n is a positive integer starting from 1, and the information obtained from the large database is marked as k n , where n is a positive integer starting from 1;

[0023] Step A2: Set i n Each element in is in the order of n and k n Compare each element in the data, and when the comparison results are different, return a retransmission signal to the information sending unit, and the information sending unit transmits the retransmission signal to the big database and the corresponding market sales end or planting purchase end;

[0024] The data processing unit is used to perform comprehensive processing on the information verified by the data preprocessing unit and feed back the processed data to the information sending unit. The steps are as follows:

[0025] Step B1: Identify the acquired information. If it is the information from the market sales end, classify the information according to the type of medicinal materials sold, the quantity of each type of medicinal materials sold, the area of ​​medicinal materials sold, the quality of medicinal materials sold, and the object of medicinal materials sold, and mark the classified information in order. n, where n is 1, 2, 3, 4, 5...n. When it is the information of the planting and purchasing end, it is classified according to the type and quantity of purchased medicinal materials, the type and quantity of medicinal materials planted by oneself, and the classified information is marked as P in order. n , where P is 1, 2, 3, 4, 5...n; the computing module includes a data preprocessing unit, an information sending unit and a data processing unit, wherein the information sending unit is used to transmit the information output by the entire computing module to the corresponding port;

[0026] The data preprocessing unit is used to verify and judge the obtained information, and its steps are as follows;

[0027] Step A1: Group the information obtained from the market sales and planting procurement ends and the information data in the big database into 8-bit groups, and mark each group of information obtained from the market sales or planting procurement ends as i n , where n is a positive integer starting from 1, and the information obtained from the large database is marked as k n , where n is a positive integer starting from 1;

[0028] Step A2: Set i n Each element in is in the order of n and k n Compare each element in the data, and if the comparison results are different, return a retransmission signal to the information sending unit, and the information sending unit transmits the retransmission signal to the big database and the corresponding market sales end or planting purchase end;

[0029] The data processing unit is used to perform comprehensive processing on the information verified by the data preprocessing unit and feed back the processed data to the information sending unit. The steps are as follows:

[0030] Step B1: Identify the acquired information. If it is the information from the market sales end, classify the information according to the type of medicinal materials sold, the quantity of each type of medicinal materials sold, the area of ​​medicinal materials sold, the quality of medicinal materials sold, and the object of medicinal materials sold, and mark the classified information in order. n When it comes to the planting and purchasing information, it is classified according to the type and quantity of purchased medicinal materials, the type and quantity of medicinal materials planted by oneself, and the classified information is marked in order as P n , where L n With P n Where n is 1, 2, 3, 4, 5...n;

[0031] Step B2: Let the market sales influencing factor be α and the planting purchase influencing factor be γ.

[0032] The calculation formula is: Among them, M n is the sales impact coefficient, M n It is the comprehensive impact factor of diseases in each major sales area in the current quarter. The specific value is obtained based on the detailed data provided by the local medical and health departments each quarter.

[0033] Where N n is the influence coefficient of seed collection, N n It is the production information influencing factor of various medicinal materials in the place of medicinal material production. The specific value is obtained based on the detailed data provided by the local market department of the place of origin of the medicinal materials.

[0034] If the α value is less than the critical value е, it means that the overall plan will continue to be implemented according to the plan of the previous year. If it is greater than е and the excess value is within 30% of the critical value, only one element will be adjusted. If the excess value is between 30% and 60% of the critical value, two elements will be adjusted. If it is greater than 60%, all elements will be modified.

[0035] If γ is less than the critical value Q, the plan made in the previous stage will continue to be used. If γ is greater than the critical value Q, the relevant plan will be adjusted immediately according to the stored drug information;

[0036] Step B3: The calculated α and γ values ​​are transmitted to the information sending unit respectively, and then the information sending unit transmits the information to the warehouse storage end and the planting and purchasing end respectively. At the same time, the information sending unit sends the backup of the α and γ values ​​to the big database.

[0037] Furthermore, the planting and purchasing end includes a planting information receiving and sending unit, an information comparison unit and a planting data entry unit. The information receiving and sending unit is used to receive information sent to the planting and purchasing end by the calculation module and the warehouse storage end and send the purchase and planting data of Chinese medicinal materials to the calculation module, the warehouse storage end and the big database. The information comparison unit is used to compare the received γ value with the critical value Q and calculate the number of elements to be adjusted. The data entry unit is used for the planting and purchasing end staff to input the purchase and planting data of Chinese medicinal materials.

[0038] Furthermore, the warehouse storage end includes a warehouse data entry unit and a warehouse storage period calculation unit, wherein the warehouse data entry unit is used by the warehouse storage end staff to enter the storage drug information, and the warehouse storage period calculation unit is used to calculate the warehousing time of all medicinal materials at the warehouse storage end, mark the medicinal materials whose storage period has reached the maximum storage period of two months of the medicinal materials and remind the warehouse storage end staff.

[0039] Furthermore, the market sales end includes a market information entry unit, a market information comparison unit and a market information transceiver unit. The market information entry unit is used for the market sales end staff to enter market sales data. The market information comparison unit is used to compare the received α value with the critical value е and obtain the number of elements that should be adjusted. The market information transceiver unit is used to receive information sent to the market sales end by the warehouse storage end and the calculation module and to send relevant information of the market sales end to the warehouse storage end, the calculation module and the big database.

[0040] Compared with the prior art, the present invention has the following beneficial effects:

[0041] 1. The present invention adopts big data and industrial chain integration technology, specifically vertical industrial chain integration technology. The entire system, from the planting and purchasing end of the Chinese medicinal materials industry to the warehouse storage end to the market sales end, serves as a complete closed loop of the entire industrial chain, assisted by a large database and a computing module as effective decision-making computing assistance, which ensures that the overall system is within an effective monitoring range quickly and conveniently;

[0042] 2. The present invention adopts scientific and reasonable influencing factors as one of the analysis influencing factors in data analysis calculations, which changes the data-only theory in previous systems. In the process of analyzing the overall Chinese medicinal materials market, it fully considers the actual factors and incorporates the actual influencing factors into the normal consideration scope, which has a more far-reaching and practical effect on overall decision-making and overall plan implementation. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0044] Figure 1 This is a principle block diagram of an integrated service system for the Chinese medicinal materials industry chain based on big data according to the present invention. DETAILED DESCRIPTION

[0045] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] like Figure 1As shown in the figure, an integrated service system for the Chinese medicinal materials industry chain based on big data is usually used in all the intermediate links of most Chinese medicinal materials from planting and procurement to market sales, and ensures that the overall operation process is operated in a closed environment. The analysis and processing method adopted by this system is the actual factor impact method. This method changes the previous purely theoretical analysis and combines the actual factor and theoretical data analysis method to analyze the data, which is more reliable. The specific operation is as follows:

[0047] Let the market sales impact factor be α, and the planting purchase impact factor be γ

[0048] The calculation formula is: Among them, M n is the sales impact coefficient, M n It is the comprehensive impact factor of diseases in each major sales area in the current quarter. The specific value is obtained based on the detailed data provided by the local medical and health departments each quarter.

[0049] Where N n is the influence coefficient of seed collection, N n It is the production information influencing factor of various medicinal materials in the place of medicinal material production. The specific value is obtained based on the detailed data provided by the local market department of the place of origin of the medicinal materials.

[0050] If the α value is less than the critical value е, it means that the overall plan will continue to be implemented according to the plan of the previous year. If it is greater than е and the excess value is within 30% of the critical value, only one element will be adjusted. If the excess value is between 30% and 60% of the critical value, two elements will be adjusted. If it is greater than 60%, all elements will be modified.

[0051] If γ is less than the critical value Q, the plan made in the previous stage will continue to be used. If γ is greater than the critical value Q, the relevant plan will be adjusted immediately according to the stored drug information;

[0052] At the planting and purchasing end, the entire port is divided into two major functional areas: planting and purchasing. The planting end is for medicinal materials planted by users of the system themselves, and the purchasing end is mainly used for purchases based on the demand catalog when there is insufficient demand for medicinal materials planted by themselves or when the market sales end urgently needs a certain medicinal material but the warehouse and the planting end do not have sufficient supply. The two parts of planting and purchasing are both independent and inseparable. The purchasing end needs to upload the market prices of various mainstream Chinese medicinal materials in the purchasing area and an overall assessment report on the quality of the seasonal medicinal materials within a certain period of time.

[0053] On the market sales side, in addition to the overall sales plan, there is also an emergency purchase declaration procedure, which is used to urgently report to the planting and purchasing side when a large-scale outbreak of a certain type of disease occurs at the sales location, and then there is an urgent need for a certain type of medicine.

[0054] The above formulas are all calculated by removing dimensions and taking numerical values. The formula is a formula that is closest to the actual situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained by simulating a large amount of data.

[0055] The working principle of the present invention is as follows: the staff at the planting and purchasing end uploads all the planting and purchasing end data to the planting and purchasing end, the staff at the market sales end also uploads all the market sales data to the market sales end, and the staff at the warehouse storage end inputs the warehouse storage information. The three ports all upload the input information to the big database. The planting and purchasing end and the market sales end also transmit the information input by the staff to the calculation module. The calculation module compares all the received data, confirms that all the information is correct, and then substitutes all the data into the formula for calculation, and feeds back the calculated data to the corresponding module or port. After receiving the information sent by the calculation module, the corresponding module and port compare the received information with their own information against the standard, and formulates a suitable operation plan for the next stage according to the comparison result. After obtaining the operation prompt suggestion, the operator of each port first refers to the input data of the warehouse storage end, and checks in detail the storage volume in the warehouse and the quantity and type of medicinal materials that are about to reach the storage period, and decides to change the detailed plan at the planting and purchasing end and the market sales end according to the information of the medicinal materials stored in the warehouse, and transmits the formulated plan to the big database for storage.

[0056] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0057] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. An integrated service system for the Chinese medicinal materials industry chain based on big data, characterized in that: Including big database, planting and purchasing end, warehouse storage end, computing module and market sales end; The large database is used for storage, transmission and backup of raw data and processed data; The market sales terminal is used to upload market sales data and receive calculation results given by the calculation module; The planting and purchasing terminal is used to upload the purchasing and planting data of Chinese medicinal materials and receive the calculation results given by the calculation module; The warehouse storage end is used to provide real-time feedback of the stored drug information in the warehouse to the planting procurement end and the market sales end, and upload the stored drug information to the big database in real time. At the same time, the warehouse storage end is also used for logistics transfer and drug storage between the planting procurement end and the market sales end; The calculation module is used to obtain the data uploaded by the operators of the market sales end and the planting procurement end, and compare it with the data uploaded to the big database by the market sales end and the planting procurement end; When the data is confirmed to be correct, it is calculated and the calculation results are fed back to the market sales end and the planting and purchasing end; When the data is wrong, the signal will be fed back to the planting and purchasing end and the market sales end to resend until the correct data is obtained; The computing module includes a data preprocessing unit, an information sending unit and a data processing unit, wherein the information sending unit is used to transmit the information output by the entire computing module to the corresponding port; The data preprocessing unit is used to verify and judge the obtained information, and its steps are as follows; Step A1: Group the information obtained from the market sales and planting procurement ends and the information data in the big database into 8-bit groups, and mark each group of information obtained from the market sales or planting procurement ends as i n , where n is a positive integer starting from 1, and the information obtained from the large database is marked as k n , where n is a positive integer starting from 1; Step A2: Set i n Each element in is in the order of n and k n Compare each element in the data, and if the comparison results are different, return a retransmission signal to the information sending unit, and the information sending unit transmits the retransmission signal to the big database and the corresponding market sales end or planting purchase end; The data processing unit is used to perform comprehensive processing on the information verified by the data preprocessing unit and feed back the processed data to the information sending unit. The steps are as follows: Step B1: Identify the acquired information. If it is the information from the market sales end, classify the information according to the type of medicinal materials sold, the quantity of each type of medicinal materials sold, the area of ​​medicinal materials sold, the quality of medicinal materials sold, and the object of medicinal materials sold, and mark the classified information in order. n When it comes to the planting and purchasing information, it is classified according to the type and quantity of purchased medicinal materials, the type and quantity of medicinal materials planted by oneself, and the classified information is marked in order as P n , where L n With P n Where n is 1, 2, ... n; Step B2: Let the market sales influencing factor be α and the planting purchase influencing factor be γ; The calculation formula is: Among them, M n is the sales impact coefficient; Where N n is the influence coefficient of seed collection; Step B3: The calculated α and γ values ​​are transmitted to the information sending unit respectively, and then the information sending unit transmits the information to the warehouse storage end and the planting and purchasing end respectively, and the information sending unit sends the α and γ values ​​to the big database as a backup; The planting and purchasing end includes a planting information transceiver unit, an information comparison unit and a planting data entry unit. The information transceiver unit is used to receive information sent to the planting and purchasing end by the calculation module and the warehouse storage end, and to send the purchase and planting data of Chinese medicinal materials to the calculation module, the warehouse storage end and the big database. The information comparison unit is used to compare the received γ value with the critical value Q and calculate the number of elements to be adjusted. The data entry unit is used for the planting and purchasing end staff to input the purchase and planting data of Chinese medicinal materials; The warehouse storage end includes a warehouse data entry unit and a warehouse storage period calculation unit, wherein the warehouse data entry unit is used for the warehouse storage end staff to enter the storage drug information, and the warehouse storage period calculation unit is used to calculate the storage time of all medicinal materials at the warehouse storage end, and mark the medicinal materials whose storage period has reached the maximum storage period of two months of the medicinal materials and remind the warehouse storage end staff.

2. According to claim 1, a big data-based integrated service system for the Chinese medicinal materials industry chain, characterized in that: The original data is the data uploaded by the staff at the planting and purchasing end, the market sales end, and the warehouse storage end; The market sales data includes the types of medicinal materials sold, the quantity of each type of medicinal materials sold, the regions where the medicinal materials are sold, the quality of the medicinal materials sold, and the objects to whom the medicinal materials are sold; The stored drug information includes the types of stored drugs, the quantity of each type of stored drugs, the time of storing each type of drugs, the batches of each type of stored drugs, and the quantity of stored drugs that have deteriorated; The purchasing and planting data of Chinese medicinal materials include the types of purchased medicinal materials, the quantities of purchased medicinal materials, the types of medicinal materials planted by oneself, and the quantities of medicinal materials planted by oneself.

3. According to the big data-based integrated service system for the Chinese medicinal materials industry chain of claim 1, it is characterized in that: The market sales end includes a market information entry unit, a market information comparison unit and a market information transceiver unit. The market information entry unit is used for the market sales end staff to enter market sales data. The market information comparison unit is used to compare the received α value with the critical value е and obtain the number of elements that should be adjusted. The market information transceiver unit is used to receive information sent to the market sales end by the warehouse storage end and the calculation module and to send relevant information of the market sales end to the warehouse storage end, the calculation module and the big database.

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