A feedstuff traceability management system

Abstract

The application discloses a feed raw material traceable management system and relates to the technical field of traceable management.The traceable information acquisition module is arranged to collect the browsing time length of each traceable dimension, the purchase measurement and the search keywords of the user in the process of checking the traceable information of the target product, the traceable intervention module analyzes the same, determines the user attention of each traceable dimension of the traceable information, determines the intervention object and the execution object, updates the traceable information, avoids the situation that the dimension information of the traceable dimension with high user attention is not displayed and the displayed traceable dimension information is not paid attention to by the user, the iterative intervention module iteratively intervenes in the updated traceable information, introduces the measurement of the purchase measurement, analyzes whether each updated traceable dimension promotes the purchase conversion relative to the target product, evaluates the intervention effect, replaces the traceable dimension with poor intervention effect and completes the iterative update of the traceable dimension.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of traceability management, in particular to a feed raw material traceability management system. BACKGROUND

[0002] With the development of scale and standardization of the livestock and aquaculture industries, the quality and safety of feed raw materials directly determine the quality of breeding products and food safety, and are related to public health. At present, the demand for traceability of breeding products is increasing, the control of the feed industry by regulatory authorities is becoming more stringent, and the demand for supply chain management optimization by feed production enterprises is increasing, which collectively promotes the traceability management of feed raw materials to become a key direction in the industry. The construction of a traceability system can record the whole process information of raw materials from procurement, storage, processing to delivery, which not only provides compliance basis for supervision, but also provides users such as feed production enterprises and breeding enterprises with access services for information such as raw material source, quality index, and flow trajectory.

[0003] It is worth noting that high-quality traceability dimension display can effectively enhance the trust of users in raw materials, thereby promoting user purchase decisions. However, the existing traceability system has not focused on this core value and only stays at the level of basic information recording. It cannot help purchase conversion through traceability dimension optimization, and the traceability dimension is fixed at the level of basic information recording. Once the dimension is determined, a static framework is formed, which cannot be changed. It is not possible to dynamically update the dimension information that most users are interested in into the traceability information. Users need to actively search for target dimension information, which is costly and further weakens the possibility of purchase conversion.

[0004] To solve the above problems, the present application provides a solution. SUMMARY

[0005] The purpose of the present application is to provide a feed raw material traceability management system to solve the problems raised in the background art.

[0006] The present application provides a feed raw material traceability management system, comprising:

[0007] A traceability information acquisition module is used to collect traceability log information once when a user checks the traceability information of a target product each time. The traceability information includes dimension information of several traceability dimensions, and the types of traceability dimensions are divided into static types and dynamic types.

[0008] A traceability intervention module is used to analyze all traceability log information received within each traceability intervention period every interval, determine the user interest of each traceability dimension in the traceability information of the target product, generate intervention object information of the target product of the traceability intervention period according to the determined user interest of each traceability dimension, and the intervention object information contains several intervention objects.

[0009] The trace intervention module is further configured to filter out execution object information and iteration object information of the target product of the trace intervention period from all trace dimensions of the target product according to all intervention objects of each target product of the trace intervention period, and synchronously generate an intervention observation instruction, wherein the execution object information contains a plurality of execution objects.

[0010] The trace display module is configured to update the trace information of the target product stored in the trace display module once the intervention object information and the execution object information of each target product of the trace intervention period are received.

[0011] After receiving the transmitted intervention observation instruction, the trace information collection module transmits the trace log information collected within a preset observation duration in real time to the iteration intervention module starting from the time of receiving.

[0012] The iteration intervention module is configured to analyze all trace log information received within a preset observation duration starting from the time of receiving the execution object information of each target product of the trace intervention period, determine intervention efficiency indicators of all execution objects contained in the execution object information, and generate iteration intervention information of the target product of the trace intervention period according to the determined intervention efficiency indicators of all execution objects.

[0013] The trace display module performs an iteration update on the trace information of the target product stored therein after receiving the iteration intervention information of each target product of the trace intervention period.

[0014] Further, the purchase measurement takes the time when the user starts to view the trace information of the target product as the starting point, and counts the total number of orders placed by the user for the target product within a preset measurement duration; the search dimension information contains a plurality of trace dimensions.

[0015] Further, the search dimension information takes the time when the user starts to view the trace information of the target product as the starting point, collects all search information of the user for the target product within a preset search duration, and then matches each collected search information with the trace dimension associated therewith based on all trace dimensions of the target product, to finally form the search dimension information, wherein the search information includes a plurality of search keywords.

[0016] Further, the steps of generating the intervention object information of the target product of the current trace intervention period are as follows:

[0017] S11: Obtain the trace information of the target product stored in the trace display module of the current trace intervention period, and mark all trace dimensions of the type of dynamic in the trace information as A1, A2,..., Aa, respectively, where a≥1.

[0018] S12: Traverse all the traceability log information received in the current traceability intervention period, obtain all the consulting users corresponding to the all the traceability log information and de-duplicate them, and mark the remaining all the consulting users after de-duplication as B1, B2,..., Bb, b≥1 respectively;

[0019] S13: Determine the user attention of the traceability dimension A1.

[0020] S14: Compare the user attention of the traceability dimension A1 with the preset expected attention of the traceability dimension A1, if the user attention is greater than or equal to the expected attention, do not do anything, otherwise, determine that the traceability information of the target product in the current traceability intervention period needs to be intervened, and the traceability dimension A1 is the intervention object of the target product in the current traceability intervention period.

[0021] S15: Determine the user attention of the traceability dimensions A2, A3,..., Aa in turn according to S13, and compare the user attention of the traceability dimensions A2, A3,..., Aa with the corresponding preset expected attention in turn according to S14, if the comparison is complete and it is still not determined that the traceability information of the target product in the current traceability intervention period needs to be intervened, do not do anything, otherwise, obtain all the intervention objects of the target product in the current traceability intervention period; the traceability intervention module generates the intervention object information of the target product in the current traceability intervention period according to the obtained all the intervention objects of the target product in the current traceability intervention period.

[0022] Further, S13, the steps of determining the user attention of the traceability dimension A1 are as follows:

[0023] S131: Obtain all the traceability log information of the consulting user B1 from all the traceability log information received in the current traceability intervention period, and extract the browsing time of the traceability dimension A1 from the obtained all the traceability log information respectively.

[0024] S132: Use the discrete point filtering algorithm to process the extracted all the browsing time of the traceability dimension A1, and calculate the average value of all the browsing time remaining after data processing, and mark the average value as the average browsing time of the consulting user B1 relative to the traceability dimension A1.

[0025] S133: Determine the average browsing time of the consulting users B2, B3,..., Bb relative to the traceability dimension A1 in turn according to S131 to S132, use the discrete point filtering algorithm to process the determined average browsing time of the consulting users B1, B2,..., Bb relative to the traceability dimension A1, and delete all the average browsing time determined as discrete points in the data processing process.

[0026] Obtain all the browse average time lengths that are not determined as discrete points and remain in the data processing process, and obtain all the browse average time lengths that are determined as discrete points and deleted in the data processing process, and mark all the obtained deleted browse average time lengths as C1, C2,..., Cc, 1≤c<b respectively;

[0027] S134: Determine whether to retain the browse average time length C1, and the determination content is as follows:

[0028] Obtain the review user corresponding to the browse average time length C1, extract all the traceability log information in which the review user is consistent with the review user corresponding to the browse average time length C1 from all the traceability log information received in the current traceability intervention period, obtain all the purchase quantities contained in the extracted all the traceability log information and calculate the sum, and compare the sum with the preset screening purchase quantity, if the sum is greater than the screening purchase quantity, it is determined that the browse average time length C1 is retained, otherwise, it is determined that the browse average time length C1 can be deleted;

[0029] S135: According to S134: in turn determine whether to retain the browse average time length C2, C3,..., Cc, obtain all the browse average time lengths determined to be retained based on the determination result; calculate the average value of all the browse average time lengths determined to be retained and all the browse average time lengths remaining in the data processing process, and mark the average value as the user attention degree of the traceability dimension A1.

[0030] Further, the steps of screening the execution object information and the iteration object information of the target product in the current traceability intervention period are as follows:

[0031] Based on all the types of the target product being dynamic and not containing each traceability dimension in the traceability information of the target product stored in the current traceability intervention period display module, obtain the total number of traceability log information containing the traceability dimension from all the traceability log information received in the current traceability intervention period;

[0032] Select the traceability dimensions arranged in the front P1 of the total number in the order from large to small as the execution objects, and P1 is a preset standard number for determining the execution objects;

[0033] According to the total number of the traceability log information of all the remaining unselected traceability dimensions, generate the iteration object information of the target product in the current traceability intervention period according to all the traceability dimensions whose total number is greater than or equal to P2 and the total number of the traceability log information thereof, and P2 is a preset selected standard quantity for intervention execution objects;

[0034] Generate the execution object information of the target product in the current traceability intervention period according to all the screened execution objects.

[0035] Further, the traceability display module receives the intervention object information and the execution object information of the target product in the current traceability intervention period, and updates the traceability information of the target product stored in the traceability display module as follows:

[0036] First, according to the dimension information of each intervention object in the traceability information of the target product stored in the traceability display module, the dimension information of the corresponding intervention object is deleted, and according to each execution object in the execution object information, the dimension information of the execution object stored in the traceability display module is obtained, and the dimension information is added to the traceability information to complete the update of the traceability information.

[0037] Further, the iterative intervention module receives the execution object information of the target product in the current traceability period, and analyzes all the traceability log information received within the preset observation time length since the time when the execution object information is received, to generate the iterative intervention information of the target product in the current traceability intervention period. The steps are as follows:

[0038] S21: all traceability dimensions contained in the execution object information are marked as D1, D2,..., Dd in order from large to small according to the total number of corresponding traceability log information, d≥1;

[0039] S22: the user attention E1, E2,..., Ed of the traceability dimensions D1, D2,..., Dd is calculated and obtained according to S11 to S15;

[0040] S23: the intervention efficiency index G1 of the traceability dimension D1 is calculated and obtained in order by using the formula G1=E1 / F1, wherein F1 is the sum of all purchase quantities calculated from all the traceability log information received within the observation time length, and E1 and F1 are both dimensionless before being substituted into the formula, so as to determine that there is no problem of dimension mismatch in the calculation formula;

[0041] S24: whether the traceability dimension D1 is an iterative intervention object is determined: the intervention efficiency index G1 and the preset intervention judgment index P3 are compared in size, if G1≥P3, no processing is done, otherwise the traceability dimension D1 is determined as an iterative intervention object;

[0042] S25: whether the traceability dimensions D2, D3,..., Dd are iterative intervention objects is determined in order according to S21 to S24, and all the traceability dimensions determined as iterative intervention objects are obtained.

[0043] According to all the traceability dimensions determined as iterative intervention objects and their intervention efficiency indexes, the iterative intervention information of the target product in the current traceability intervention period is generated.

[0044] Further, the traceability display module receives the iteration intervention information of the target product in the current traceability intervention period, and performs iteration update on the traceability information of the target product stored in the memory, and the content is as follows:

[0045] All iteration intervention objects contained in the iteration intervention information are obtained, the dimension information of all iteration intervention objects is deleted in the traceability information, and then a number of traceability dimensions consistent with the number of iteration intervention objects is obtained from the received iteration object information of the target product in the current traceability intervention period, the dimension information of all obtained traceability dimensions is added to the traceability information, so as to complete iteration update of the traceability dimension.

[0046] Compared with the prior art, the present application has the following beneficial effects:

[0047] The present application sets the traceability information acquisition module to acquire the browsing time of each traceability dimension of the user, the purchase measurement after the user browses the traceability information of the target product, and the search keywords in the process of browsing the traceability information of the target product, sets the traceability intervention module to analyze the above information, determines the user attention degree of each traceability dimension displayed in the current traceability information of the user, determines the intervention object based on the user attention degree, determines the execution object based on the analysis of the search dimension information, replaces and deletes each traceability dimension in the traceability information, and always ensures that the traceability dimension with high attention is displayed in the traceability information, so as to avoid the situation that the dimension information of the traceability dimension with high user attention is not displayed, and the user does not pay attention to the displayed traceability dimension information.

[0048] The present application sets the iteration intervention module to perform iteration intervention on the updated traceability information of the target product, calculates the intervention efficiency index of each updated traceability dimension in the iteration intervention process, introduces the consideration of the purchase measurement in the intervention efficiency index, analyzes whether each updated traceability dimension promotes the purchase conversion relative to the target product, evaluates the intervention effect, replaces the traceability dimension with poor intervention effect, completes iteration update of the traceability dimension, improves the practicability of the traceability information and the trust degree of the user through the above method, and effectively promotes the purchase conversion through the traceability dimension optimization, and promotes the efficiency and practicability of the traceability information management. BRIEF DESCRIPTION OF DRAWINGS

[0049] Figure 1 The system block diagram of the present application. DETAILED DESCRIPTION

[0050] With reference to the drawings of the embodiments of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described, obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments of the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work are within the protection scope of the present application.

[0051] Please refer to Figure 1 The present application provides a feed raw material traceability management system, comprising a traceability information acquisition module, a traceability display module, a traceability intervention module and an iterative intervention module.

[0052] The traceability information acquisition module is configured to acquire traceability log information each time a user checks the traceability information of a target product. The traceability log information includes the browsing time length, purchase quantity and search dimension information of each traceability dimension in the traceability information browsed by the user. The search dimension information includes a plurality of traceability dimensions. The purchase quantity is the total quantity of the target product ordered by the user within a preset quantity time period, starting from the time when the user starts to check the traceability information of the target product.

[0053] The search dimension information is the total search information of the target product collected by the user within a preset search time period, starting from the time when the user starts to check the traceability information of the target product. The search information includes a plurality of search keywords. Each traceability dimension of the target product is preconfigured with a plurality of dimension keywords by a manager. Then, the search keywords in each piece of collected search information are compared with the preconfigured dimension keywords of each traceability dimension based on all the traceability dimensions covered by the target product. If the search keywords are completely identical with or highly relevant to any one of the dimension keywords of a traceability dimension, it is determined that the search information is associated with the traceability dimension. Finally, all the traceability dimensions associated with the search information are integrated to form the search dimension information.

[0054] The association is the basis for determining whether the search information is related to each traceability dimension of the target product. In the present application, the association is obtained in the following manner:

[0055] Step 1: literal comparison, completely identical verification of the search keywords and the preconfigured dimension keywords of each traceability dimension. If they are completely identical, such as the search keyword “logistics information” and the dimension keyword “logistics information”, it is determined that the literal comparison hits, and the search information is directly determined to be associated with the traceability dimension. Otherwise, it is determined that the literal comparison misses.

[0056] Second step: semantic comparison. If the literal comparison does not hit, enter semantic comparison. Determine whether the semantics of the two are highly relevant through existing word vector technology. The word vector technology is to convert words in natural language into dense vectors. Words with similar semantics will have similar vector representations. In this application, the word vector technology uses the BERT model to convert the search keyword and the dimension keyword into high-dimensional vectors respectively. By calculating the cosine similarity of the two vectors, the value range is [-1, 1], quantifying the semantic correlation degree. The smaller the vector angle, the closer the cosine similarity to 1, and the higher the semantic correlation. When the cosine similarity is greater than or equal to 0.8, it is considered to be highly relevant in semantics.

[0057] Example: input the search keyword "milk source" and the dimension keyword "dairy farm location" into the BERT model. The vector cosine similarity of the two is about 0.86, which meets the threshold value of greater than or equal to 0.8, and is determined to be highly relevant in semantics.

[0058] Third step: if the search keyword is identical or highly relevant in semantics to any one of the dimension keywords of a traceability dimension, it is determined that the search information is associated with the corresponding traceability dimension.

[0059] In this application, the target product provides a traceability code for users to view the traceability information of the target product. The traceability information includes dimension information of a plurality of traceability dimensions. The traceability dimension is an information category used to describe a specific link or attribute in the whole life cycle of a feed raw material from production to sales. The traceability dimension includes but is not limited to product basic attribute dimension, raw material supplier qualification dimension, production enterprise information dimension, logistics transportation node dimension, quality inspection and sampling information dimension, storage and inventory dimension, terminal sales channel dimension, and user feedback and processing dimension, etc. The corresponding dimension information includes product name, specification and model (such as particle size, packaging specification), production batch number, production date, shelf life, execution standard code (such as national or industry quality standard number), product composition and content (such as protein, crude fiber proportion); raw material main supplier name, business license number, production license number, feed raw material production qualification grade, supplier quality management system certification (such as ISO9001 certification), historical supply record and quality rating, etc.; production enterprise name, registered address, production license number, factory location and scale, production equipment model and compliance certification, production personnel qualification (such as inspector certificate holding situation), etc.; transportation vehicle license plate number, transportation driver information, departure and destination, node transportation time (such as factory time, transit time, arrival time), temperature and humidity record in transportation process (for raw materials requiring special storage), transportation path trajectory, etc.

[0060] Factory inspection report number and conclusion, the name and qualification of the third-party sampling inspection agency, sampling time and batch, sampling items (such as microbial content, heavy metal indicators) and test results, temporary quality inspection supplementary report (such as special reinspection results for user queries) and the like.

[0061] Storage warehouse name and address, warehouse storage conditions (such as temperature, humidity control parameters), warehousing time and inventory quantity, inventory turnover record (such as first-in first-out execution situation), storage environment monitoring record (such as abnormal situation handling record) and the like; authorized sales merchant name and qualification, sales area range, terminal store address and contact information, product shelving time, sales circulation record (such as circulation information from the first-level distributor to the second-level distributor) and the like; user quality feedback record for the batch of products, feedback processing time and result, product quality complaint and rectification measures (such as recall record due to quality problems) and the like.

[0062] In the present application, the system is provided with a pos interface, and whether the user has purchased the target product can be viewed;

[0063] In the present application, based on the variability of the traceability information in the product life cycle as the core division basis, the types of traceability dimensions are divided into static type and dynamic type;

[0064] The traceability dimension of the static type refers to the traceability dimension (such as product specification model, execution standard code, raw material supplier basic qualification information, etc.) which is strongly bound with the product itself and has fixed information content. Such information is the key for customers to identify products and confirm basic attributes, and needs to be shown to customers;

[0065] The traceability dimension of the dynamic type refers to the traceability dimension (such as logistics transportation node update record, terminal sales channel information, temporary quality inspection supplementary report, etc.) which is dynamically adjusted and can be updated and replaced along with the product circulation, storage, quality inspection and the like. The display of such information has flexibility, and whether to present it to customers can be selected according to actual business needs or specific query requests of customers.

[0066] For any user who views, the traceability information collection module transmits the traceability log information of the user who views to the traceability intervention module for storage every time the traceability log information of the user who views is collected.

[0067] The traceability intervention module is used for analyzing all the traceability log information received in each traceability intervention period every interval, determining the user attention degree of each traceability dimension in the traceability information of the target product, generating intervention object information of the target product of the traceability intervention period according to the determined user attention degree of each traceability dimension, and analyzing all the traceability log information received in the current traceability intervention period by the traceability intervention module in the current traceability intervention period. The analysis steps are as follows:

[0068] S11: Obtain the traceability information of the target product stored in the memory of the traceability display module in the current traceability intervention period, mark all traceability dimensions of type dynamic in the traceability information as A1, A2,..., Aa, a≥1, respectively;

[0069] S12: Traverse all traceability log information received in the current traceability intervention period, obtain all users who consult the traceability log information and remove the duplicates, and mark all users who remain after the removal as B1, B2,..., Bb, b≥1, respectively;

[0070] S13: Determine the user attention of traceability dimension A1, and the determination steps are as follows:

[0071] S131: Obtain all traceability log information of user B1 from all traceability log information received in the current traceability intervention period, and extract the browsing time of traceability dimension A1 from the obtained all traceability log information, respectively;

[0072] S132: Use the discrete point filtering algorithm to process the extracted all browsing time of traceability dimension A1, and calculate the average value of all browsing time remaining after data processing, and mark the average value as the average browsing time of user B1 relative to traceability dimension A1;

[0073] S133: Determine the average browsing time of users B2, B3,..., Bb relative to traceability dimension A1 in turn according to S131 to S132, use the discrete point filtering algorithm to process the average browsing time of users B1, B2,..., Bb relative to traceability dimension A1, and delete all average browsing time judged as discrete points in the data processing process;

[0074] Obtain all average browsing time remaining after not being judged as discrete points in the data processing process, and simultaneously obtain all average browsing time deleted because being judged as discrete points in the data processing process, mark all obtained deleted average browsing time as C1, C2,..., Cc, 1≤c<b, respectively;

[0075] S134: Determine whether to retain the average browsing time C1, and the determination content is as follows:

[0076] obtaining the user who consults the average browsing time C1, extracting all the traceability log information consistent with the user who consults the average browsing time C1 from all the traceability log information received in the current traceability intervention period, obtaining all the purchase quantities contained in the extracted all the traceability log information and calculating the sum, comparing the sum with the preset screening purchase quantity, if the sum is greater than the screening purchase quantity, it is determined that the average browsing time C1 is retained, otherwise, it is determined that the average browsing time C1 can be deleted, wherein the screening purchase quantity is preset by the administrator, and the setting basis is the periodic sales quantity of the target product;

[0077] S135: according to S134: whether to retain judgment is carried out on the average browsing time C2, C3,..., Cc in turn, and all the average browsing times determined to be retained are obtained based on the judgment result;

[0078] The average value of all the average browsing times determined to be retained and all the average browsing times remaining in the data processing process is calculated, and the average value is designated as the user attention of the traceability dimension A1.

[0079] In the present application, the discrete point filtering algorithm can be one of Z-score filtering algorithm, IQR filtering algorithm and density filtering algorithm.

[0080] S14: comparing the user attention of the traceability dimension A1 with the preset expected attention of the traceability dimension A1, if the user attention is greater than or equal to the expected attention, no processing is performed, otherwise, it is determined that the traceability information of the target product in the current traceability intervention period needs to be intervened, and the traceability dimension A1 is the intervention object of the target product in the current traceability intervention period.

[0081] S15: determining the user attention of the traceability dimension A2, A3,..., Aa in turn according to S13, and comparing the user attention of the traceability dimension A2, A3,..., Aa with the corresponding preset expected attention in turn according to S14, if the comparison is complete and it is still not determined that the traceability information of the target product in the current traceability intervention period needs to be intervened, no processing is performed, otherwise, all the intervention objects of the target product in the current traceability intervention period are obtained.

[0082] The traceability intervention module generates the intervention object information of the target product in the current traceability intervention period according to all the intervention objects of the target product in the current traceability intervention period obtained.

[0083] The trace intervention module screens, from all intervention objects contained in the intervention object information, all trace dimensions of all types of target products that are dynamic and not contained in the trace information of the target products stored in the trace display module, and selects trace dimensions with a number consistent with the all intervention objects as execution objects of the target products in the current trace intervention period, wherein the screening content is as follows:

[0084] Based on each trace dimension of all types of target products that are dynamic and not contained in the trace information of the target products stored in the trace display module in the current trace intervention period, the total number of trace log information containing the trace dimension is obtained from all trace log information received in the current trace intervention period.

[0085] The trace dimensions with a total number arranged in front of P1 in the order of total number from large to small are selected as execution objects, and P1 is a preset standard number for determining execution objects;

[0086] According to the total number of trace log information of all remaining unselected trace dimensions, all trace dimensions with a total number greater than or equal to P2 and the total number of trace log information thereof are generated as iteration object information of the target products in the current trace intervention period, and P2 is a preset selection standard quantity of intervention execution objects;

[0087] The execution object information of the target products in the current trace intervention period is generated according to all the selected execution objects, the intervention observation instruction is generated synchronously, the intervention object information, the execution object information and the iteration object information are transmitted to the trace display module, the intervention observation instruction is transmitted to the trace information collection module, and the execution object information is transmitted to the iteration intervention module.

[0088] After the trace information collection module receives the transmitted intervention observation instruction, the trace log information collected in a preset observation duration is transmitted to the iteration intervention module in real time from the reception time point as a starting point;

[0089] The trace display module stores trace information of all trace dimensions of the target products, and after the trace display module receives the transmitted intervention object information and execution object information, the trace information of the target products stored in the trace display module is updated once, and the updating steps are as follows:

[0090] First, the dimension information of the corresponding intervention object is deleted from the trace information of the target products stored in the trace display module according to each intervention object in the intervention object information, and the dimension information of the execution object is obtained from the trace display module according to each execution object in the execution object information, and the dimension information is added to the trace information to complete the update of the trace information;

[0091] An iterative intervention module is configured to analyze all the traceability log information received within a preset observation time period starting from the time when the execution object information of the target product of the current traceability intervention period is received.

[0092] After the iterative intervention module receives the execution object information of the target product of the current traceability period, it analyzes all the traceability log information received within a preset observation time period starting from the time when the execution object information of the target product of the current traceability intervention period is received. The analysis steps are as follows:

[0093] S21: All traceability dimensions contained in the execution object information are sequentially marked as D1, D2,..., Dd in descending order of the total number of corresponding traceability log information, d≥1.

[0094] S22: The user attention E1, E2,..., Ed of the traceability dimensions D1, D2,..., Dd is sequentially calculated according to S11 to S15.

[0095] S23: The intervention efficiency index G1 of the traceability dimension D1 is sequentially calculated using the formula G1=E1 / F1, where F1 is the sum of all purchase metrics calculated from all the traceability log information received within the observation time period. It should be noted that the intervention efficiency index is artificially defined to represent the attention of the user corresponding to the purchase metric to the execution object. E1 and F1 are both dimensionless before being substituted into the formula to ensure that there is no dimensional mismatch in the calculation formula.

[0096] S24: Determine whether the traceability dimension D1 is an iterative intervention object: compare the intervention efficiency index G1 with the preset intervention judgment index P3. If G1≥P3, do not perform any processing. Otherwise, determine that the traceability dimension D1 has no optimization based on the purchase intensity of the target product according to the traceability information, and determine that the traceability dimension D1 is an iterative intervention object. It should be noted that the higher the value of G1, the greater the contribution to promoting purchase conversion and the better the information intervention effect. Conversely, the lower the value of G1, the less the execution object can effectively attract user attention or convert into a purchase behavior, and the information intervention effect is poor and needs to be further optimized.

[0097] S25: Determine whether the traceability dimensions D2, D3,..., Dd are iterative intervention objects according to S21 to S24, and obtain all the traceability dimensions determined as iterative intervention objects.

[0098] According to all the traceability dimensions determined as iterative intervention objects and their intervention efficiency indexes, the iterative intervention information of the target product of the current traceability intervention period is generated, and the iterative intervention information is transmitted to the traceability display module.

[0099] The traceability display module receives the transmitted iteration intervention information of the target product, and performs an iteration update on the traceability information of the target product stored therein, and the iteration update content is as follows:

[0100] All iteration intervention objects contained in the iteration intervention information are obtained, the dimension information of all iteration intervention objects is deleted in the traceability information, then a number of traceability dimensions consistent with the number of iteration intervention objects is obtained from the received iteration object information of the target product in the current traceability intervention period, the dimension information of all obtained traceability dimensions is added to the traceability information to complete an iteration update of the traceability dimensions, wherein if the number of traceability dimensions contained in the iteration object information is greater than the number of iteration intervention objects, the traceability dimensions consistent with the number of iteration intervention objects are obtained in descending order of the total number of traceability log information of all traceability dimensions contained in the iteration object information; if the number of traceability dimensions contained in the iteration object information is less than the number of iteration intervention objects, the dimension information of all traceability dimensions contained in the iteration object information is added to the traceability information.

[0101] Part of the data in the above formula is dimensionless numerical calculation, and the contents not described in detail in the specification all belong to the prior art known to those skilled in the art.

[0102] The above embodiments are only used to illustrate the technical method of the present application and are not limited. Although the present application has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical method of the present application can be modified or replaced equivalently without departing from the spirit and scope of the technical method of the present application.

Claims

1. A feedstock traceability management system characterized by, The application comprises: a traceability information acquisition module, which is used for collecting traceability log information once when a user checks the traceability information of a target product each time, the traceability information comprising dimension information of a plurality of traceability dimensions, the types of the traceability dimensions being divided into static types and dynamic types; a traceability intervention module, which is used for analyzing all the traceability log information received within each traceability intervention period, determining the user attention degree of each traceability dimension in the traceability information of the target product, and generating intervention object information of the target product in the traceability intervention period according to the determined user attention degree of each traceability dimension; the traceability intervention module is further used for filtering execution object information and iteration object information of the target product in the traceability intervention period from all the traceability dimensions of the target product according to all the intervention objects of the target product in each traceability intervention period, and synchronously generating an intervention observation instruction, the execution object information comprising a plurality of execution objects; a traceability display module, which is used for updating the traceability information of the target product stored in the traceability display module once after receiving the intervention object information and the execution object information of the target product in each traceability intervention period; after receiving the transmitted intervention observation instruction, the traceability information acquisition module transmits the traceability log information collected within a preset observation time length to the iteration intervention module in real time starting from the time of reception; an iteration intervention module, which is used for analyzing all the traceability log information received within a preset observation time length starting from the time of reception of the execution object information of the target product in each traceability intervention period, determining intervention efficiency indexes of all the execution objects contained in the execution object information, and generating iteration intervention information of the target product in the traceability intervention period according to the determined intervention efficiency indexes of all the execution objects; the traceability display module updates the traceability information of the target product stored therein once after receiving the iteration intervention information of the target product in each traceability intervention period.

2. A feedstock traceability management system according to claim 1, wherein, The purchase measurement is to take the time when a user starts to check the traceability information of a target product as a starting point, and to count the total number of orders placed by the user for the target product within a preset measurement time length; the search dimension information comprises a plurality of traceability dimensions.

3. A feedstock traceability management system according to claim 2, wherein, The search dimension information is to take the time when a user starts to check the traceability information of a target product as a starting point, collect all the search information of the user for the target product within a preset search time length, and then match each piece of collected search information with the traceability dimension associated therewith based on all the traceability dimensions of the target product, so as to finally form the search dimension information, wherein the search information comprises a plurality of search keywords.

4. A feedstock traceability management system according to claim 1, wherein The steps of generating the intervention object information of the target product in the current traceability intervention period are as follows: S11: obtain the traceability information of the target product stored in the traceability display module in the current traceability intervention period, and mark all the traceability dimensions of the dynamic type in the traceability information as A1, A2,..., Aa, respectively, wherein a≥1. S12: Traverse all traceability log information received in the current traceability intervention period, obtain all users who consult the information and remove the duplicates, and mark the remaining users as B1, B2,..., Bb, b≥1; S13: Determine the user attention of traceability dimension A1; S14: Compare the user attention of traceability dimension A1 with the preset expected attention of traceability dimension A1, if the user attention is greater than or equal to the expected attention, do not make any processing, otherwise, determine that the traceability information of the target product in the current traceability intervention period needs to be intervened, and traceability dimension A1 is the intervention object of the target product in the current traceability intervention period; S15: Determine the user attention of traceability dimensions A2, A3,..., Aa in turn according to S13, and compare the user attention of traceability dimensions A2, A3,..., Aa with the corresponding preset expected attention in turn according to S14, if the comparison is complete and it is still not determined that the traceability information of the target product in the current traceability intervention period needs to be intervened, do not make any processing, otherwise, obtain all intervention objects of the target product in the current traceability intervention period; the traceability intervention module generates intervention object information of the target product in the current traceability intervention period according to the obtained all intervention objects of the target product in the current traceability intervention period.

5. A feedstock traceability management system according to claim 4, wherein, S13, the steps of determining the user attention of traceability dimension A1 are as follows: S131: Obtain all traceability log information of user B1 from all traceability log information received in the current traceability intervention period, and extract the browsing time of traceability dimension A1 from the obtained all traceability log information; S132: Use the discrete point filtering algorithm to process the extracted all browsing time of traceability dimension A1, and calculate the average value of all browsing time remaining after data processing, and mark the average value as the average browsing time of user B1 relative to traceability dimension A1; S133: Determine the average browsing time of users B2, B3,..., Bb relative to traceability dimension A1 in turn according to S131 to S132, use the discrete point filtering algorithm to process the determined average browsing time of users B1, B2,..., Bb relative to traceability dimension A1, and delete all average browsing time determined as discrete points in the data processing process; Obtain all average browsing time remaining after being determined not to be discrete points in the data processing process, and simultaneously obtain all average browsing time deleted because they are determined to be discrete points in the data processing process, mark the obtained all deleted average browsing time as C1, C2,..., Cc, 1≤c<b; S134: Determine whether to keep the average browsing time C1, the determination content is as follows: The user who consults the average browsing time C1 is obtained, all traceability log information consistent with the user who consults the average browsing time C1 is extracted from all traceability log information received in the current traceability intervention period, all purchase quantities contained in the extracted all traceability log information are obtained and the sum is calculated, the sum and the preset screening purchase quantity are compared in size, if the sum is greater than the screening purchase quantity, it is determined that the average browsing time C1 is retained, otherwise, it is determined that the average browsing time C1 can be deleted; S135: According to S134: whether the average browsing time C2, C3,..., Cc is retained is determined in turn, and all average browsing times determined to be retained are obtained based on the determination result; The average value of all average browsing times determined to be retained and all average browsing times remaining in the data processing process is calculated, and the average value is marked as the user attention degree of the traceability dimension A1.

6. A feedstock traceability management system according to claim 1, wherein, The steps of screening out the execution object information and the iteration object information of the target product in the current traceability intervention period are as follows: Based on all types of target products being dynamic and not containing each traceability dimension in the traceability information of the target product stored in the traceability display module in the current traceability intervention period, the total number of traceability log information containing the traceability dimension is obtained from all traceability log information received in the current traceability intervention period; The traceability dimensions with total number arranged in front of P1 in the order from large to small are selected as execution objects, and P1 is a preset standard number for determining execution objects; According to the total number of traceability log information of all remaining unselected traceability dimensions, the iteration object information of the target product in the current traceability intervention period is generated according to all traceability dimensions whose total number is greater than or equal to P2 and the total number of traceability log information thereof, and P2 is a preset selection standard quantity for intervention execution objects; According to all selected execution objects, the execution object information of the target product in the current traceability intervention period is generated.

7. A feedstock traceability management system according to claim 6, wherein, After the traceability display module receives the intervention object information and the execution object information of the target product in the current traceability intervention period, the traceability display module updates the traceability information of the target product stored in the traceability display module as follows: First, delete the dimension information of each intervention object in the traceability information of the target product stored in the traceability display module according to each intervention object in the intervention object information, obtain the dimension information of each execution object in the traceability information stored in the traceability display module according to each execution object in the execution object information, and add the dimension information into the traceability information to complete the update of the traceability information.

8. A feedstock traceability management system according to claim 6, wherein, After the iteration intervention module receives the execution object information of the target product in the current traceability period, the iteration intervention module analyzes all traceability log information received in the preset observation time period from the time the iteration intervention module receives the execution object information, and generates the iteration intervention information of the target product in the current traceability intervention period. The steps are as follows: S21: All traceability dimensions contained in the execution object information are marked as D1, D2,..., Dd in order from large to small according to the total number of corresponding traceability log information, d≥1; S22: sequentially calculate the user attention E1, E2,..., Ed of the traceability dimensions D1, D2,..., Dd according to S11 to S15; S23: calculate the intervention efficiency index G1 of the traceability dimension D1 according to the formula G1=E1 / F1, wherein F1 is the sum of all purchase metrics calculated from all traceability log information received within the observation time length, and E1 and F1 are both dimensionless before being substituted into the formula to determine that there is no problem of dimension mismatch in the calculation formula; S24: determine whether the traceability dimension D1 is an iterative intervention object: compare the intervention efficiency index G1 with the preset intervention judgment index P3, if G1≥P3, do not do anything, otherwise determine that the traceability dimension D1 is an iterative intervention object; S25: sequentially determine whether the traceability dimensions D2, D3,..., Dd are iterative intervention objects according to S21 to S24, and obtain all traceability dimensions determined as iterative intervention objects; According to all traceability dimensions determined as iterative intervention objects and their intervention efficiency indexes, generate the iterative intervention information of the target product in the current traceability intervention period.

9. A feedstock traceability management system according to claim 8, wherein, After the traceability display module receives the iterative intervention information of the target product in the current traceability intervention period, it performs an iterative update on the traceability information of the target product stored therein, and the content is as follows: From the iterative intervention information, obtain all iterative intervention objects contained therein, delete the dimension information of all iterative intervention objects in the traceability information, then obtain a number of traceability dimensions consistent with the number of iterative intervention objects from the received iterative object information of the target product in the current traceability intervention period, and add the dimension information of all obtained traceability dimensions into the traceability information to complete the iterative update of the traceability dimensions.

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