CN117076894A

CN117076894A - Supply chain risk overall process monitoring prevention and control management method and management system

Info

Publication number: CN117076894A
Application number: CN202311343999.5A
Authority: CN
Inventors: 杨玉强; 李海弘; 俞晨玺; 张莹; 刘畅; 胡晓哲; 柳志军; 叶静娴; 陈甜妹; 徐天天; 包江雪; 陈晓丰; 葛军萍; 吴建锋; 王健国; 王婧; 温少清; 沈琦; 张晓莹; 刘勇
Original assignee: Ningbo Production Chain Digital Technology Co ltd; State Grid Zhejiang Zhedian Tendering Consulting Co ltd; State Grid Zhejiang Electric Power Co Ltd; Zhejiang Huayun Information Technology Co Ltd; Jinhua Power Supply Co of State Grid Zhejiang Electric Power Co Ltd; Materials Branch of State Grid Zhejiang Electric Power Co Ltd
Current assignee: Ningbo Production Chain Digital Technology Co ltd; State Grid Zhejiang Zhedian Tendering Consulting Co ltd; State Grid Zhejiang Electric Power Co Ltd; Zhejiang Huayun Information Technology Co Ltd; Jinhua Power Supply Co of State Grid Zhejiang Electric Power Co Ltd; Materials Branch of State Grid Zhejiang Electric Power Co Ltd
Priority date: 2023-10-17
Filing date: 2023-10-17
Publication date: 2023-11-17
Anticipated expiration: 2043-10-17
Also published as: CN117076894B

Abstract

The invention provides a supply chain risk overall process monitoring prevention and control management method and a management system, which can develop a new supervision mode of real-time dynamic monitoring, discovery, early warning supervision and feedback correction on supply chain business risk by embedding a digital supervision and control technical means into a material overall business flow, thereby creating a material digital supervision business network and promoting the improvement of the material core sensitive business operation standard level. The method comprises the steps of obtaining all first equipment in a supply chain and a first state corresponding to each first equipment; determining a corresponding first model according to the first state, and collecting first collecting information corresponding to first equipment; and the first model analyzes the first acquired information to determine second acquired information meeting preset requirements, and fills the second acquired information and the expansion display information into a second reference information template respectively to obtain first monitoring, prevention and control management data corresponding to corresponding first equipment of a supply chain.

Description

Supply chain risk overall process monitoring prevention and control management method and management system

Technical Field

The invention relates to the technical field of data processing, in particular to a supply chain risk overall process monitoring prevention and control management method and a management system.

Background

Along with the continuous construction of the intelligent power grid, the construction of a power supply chain of the intelligent power grid is also continuously developed, and in order to ensure the network access quality of the power equipment, the whole process of the power supply chain of the intelligent power grid is required to be monitored. The stability of electric power supplies is the basis of smart power grids stability, monitors the whole process of electric power supplies supply chain, does benefit to on the basis that improves smart power grids stability, can realize the retrospection of data.

In the prior art, the whole process of the power supply chain is often monitored in a form of people's air defense, but because supply chain supervision relates to various power supplies, a plurality of objects to be monitored and a large service scale are needed, the power equipment has different states and different attribute data to be monitored, and the comprehensive management is difficult to realize by means of the supervision and management mode of people's air defense.

Therefore, how to combine different states and different attributes of the power equipment to form automatic large-scale monitoring becomes an urgent problem to be solved.

Disclosure of Invention

The embodiment of the invention provides a supply chain risk overall process monitoring, prevention and control management method and a management system, which can be combined with different states and different attributes of power equipment to form automatic large-scale monitoring.

In a first aspect of the embodiment of the present invention, a method for monitoring, preventing and controlling a whole process of risk of a supply chain is provided, including:

acquiring all first devices in a supply chain and first states corresponding to each first device, wherein the first states at least comprise one of a distribution configuration state, a use state and a scrapped state;

determining corresponding first models according to the first states, wherein each first model is provided with a corresponding first data acquisition interface group, and acquiring first acquisition information corresponding to first equipment according to the first data acquisition interface group;

the first model analyzes the first acquired information to determine second acquired information meeting preset requirements, the first model invokes a preset first reference information template, and the first reference information template is adjusted according to the second acquired information to obtain a corresponding second reference information template;

generating an expansion display area for a second reference information template based on the second acquired information and a template adjustment strategy, wherein the second reference information template and the expansion display area generate a second reference information template;

calculating according to the second acquired information to obtain extended display information corresponding to the extended display area, wherein the extended display information at least comprises one of display monitoring information, prevention and control information and management information;

And filling the second acquired information and the expansion display information into a second reference information template respectively to obtain first monitoring, prevention and control management data corresponding to the corresponding first equipment of the supply chain.

Optionally, in one possible implementation manner of the first aspect, the acquiring all first devices in the supply chain and a first state corresponding to each first device, where the first state includes at least one of a dispensing configuration state, a use state, and a discard state includes:

after the purchase of the equipment is completed in the purchase system and the corresponding equipment information is input, the corresponding equipment is used as first equipment and the information corresponding to the first equipment is generated;

and receiving a first state added by the user to the first equipment and the configured related Internet of things equipment.

Optionally, in one possible implementation manner of the first aspect, the different first states correspond to different first internet of things devices.

Optionally, in a possible implementation manner of the first aspect, the determining a corresponding first model according to the first state, where each first model has a corresponding first data acquisition interface group, and acquiring, according to the first data acquisition interface group, first acquisition information corresponding to a first device includes:

Determining corresponding first models according to the first states, wherein each first state is provided with a preset first model;

determining a corresponding first data acquisition interface group according to the first model, wherein the first data acquisition interface group comprises a plurality of preset Internet of things devices;

comparing the preset Internet of things equipment with first Internet of things equipment of first equipment to obtain the same Internet of things equipment set and a different Internet of things equipment set, wherein the Internet of things equipment in the different Internet of things equipment set is the Internet of things equipment which exists in the preset Internet of things equipment and does not exist in the first Internet of things equipment;

and determining all the associated Internet of things equipment according to the same Internet of things equipment set, and acquiring corresponding information to obtain first acquired information corresponding to the first equipment.

Optionally, in one possible implementation manner of the first aspect, the first model analyzes the first collected information to determine second collected information meeting a preset requirement, the first model invokes a preset first reference information template, adjusts the first reference information template according to the second collected information to obtain a corresponding second reference information template, and includes:

The first model determines a corresponding first analysis strategy according to the type of the first acquired information, and if the first acquired information meets the first analysis strategy, the corresponding first acquired information is used as second acquired information;

if the first acquired information does not meet the first analysis strategy, the corresponding first acquired information is used as third acquired information;

and the first model invokes a preset first reference information template, and the first reference information template is differentially regulated according to the third acquired information and the difference Internet of things equipment set to obtain a corresponding second reference information template.

Optionally, in one possible implementation manner of the first aspect, the first model invokes a preset first reference information template, and the differential adjustment of the first reference information template according to the third collected information and the set of different internet of things devices to obtain a corresponding second reference information template includes:

the first reference information template comprises a plurality of first reference display slots, the first reference display slots corresponding to the different Internet of things devices in the different Internet of things device set are used as second reference display slots, and all the second reference display slots are deleted from the first reference information template;

Taking the first reference display slot position corresponding to the third acquired information as a third reference display slot position, filling preset display information into the third reference display slot position, and obtaining a corresponding second reference information template;

and counting all the second reference display slots and the third reference display slots to generate corresponding information feedback templates and monitoring prevention and control management coefficients, and sending the information feedback templates and the monitoring prevention and control management coefficients to the first management ends, wherein each first device is provided with a corresponding first management end.

Optionally, in a possible implementation manner of the first aspect, the generating an extended display area for a second reference information template based on the second collected information and the template adjustment policy, where the generating the second reference information template by the second reference information template and the extended display area includes:

determining a corresponding template adjustment strategy according to the second reference display slot, wherein the template adjustment strategy comprises the steps that the corresponding second reference display slot is provided with an expansion display slot or is not provided with an expansion display slot, and the expansion display slot is provided with corresponding expansion conditions;

if the second reference display slot is an expansion display slot, corresponding expansion conditions are determined, and if the second acquired information meets the expansion conditions, at least one expansion display slot corresponding to the second reference display slot is generated, and each expansion display slot corresponding to the second reference display slot corresponds to one expansion display area;

Generating a second reference information template according to all the second reference display slots and the expansion display slots, and corresponding the second reference display slots and the expansion display slots.

Optionally, in one possible implementation manner of the first aspect, the calculating according to the second collected information obtains extended display information corresponding to an extended display area, where the extended display information includes at least one of display monitoring information, prevention information, and management information, and includes:

the first model calculates according to a first calculation strategy corresponding to each second acquired information to obtain corresponding calculation results, at least one corresponding expansion display information is determined according to the calculation results, and each calculation result has at least one corresponding expansion display information.

Optionally, in one possible implementation manner of the first aspect, the counting all the second reference display slots and the third reference display slots generates a corresponding information feedback template and a monitoring prevention management coefficient, and sends the information feedback template and the monitoring prevention management coefficient to the first management end, where each first device has a corresponding first management end, including:

Counting the number of second reference display slots to obtain the missing number of the Internet of things equipment, counting the number of third reference display slots to obtain the damaged number of the Internet of things equipment, and calculating according to the missing number and the damaged number to obtain a number dimension coefficient;

acquiring the missing weight of the Internet of things equipment corresponding to the second reference display slot position and the damage weight of the Internet of things equipment corresponding to the third reference display slot position, and calculating according to the missing weight and the damage weight to obtain an equipment dimension coefficient;

and adding the number dimension coefficients and the equipment dimension coefficients to obtain the monitoring prevention and control management coefficients of the corresponding feedback templates.

In one possible implementation manner of the first aspect, the monitoring prevention management coefficients are calculated by the following formula,

，

wherein,for the monitoring prevention management coefficient of the jth first device,>for the number of deletions->In order to minimize the number of damages,for the first quantity weight->For the second number of weights ∈>For the number normalization coefficient, +.>For the missing weight or damage weight of the ith Internet of things device, < >>Is the upper limit value of the number of the devices of the Internet of things, </i >>The coefficients are normalized for the device.

Optionally, in one possible implementation manner of the first aspect, the method further includes:

Acquiring the total number of the first devices corresponding to the first management end, and comprehensively calculating according to the total number of the devices and the monitoring, prevention and control management coefficients of each first device to obtain the due-job evaluation coefficients of the corresponding first management end;

and if the due job evaluation coefficient is smaller than the preset evaluation coefficient, sending the first identity label of the corresponding first management end to the second management end.

In one possible implementation manner of the first aspect, optionally, the due evaluation coefficient of the first management side is calculated by the following formula,

，

wherein,is->The due evaluation coefficient of the first management side,/->For the total number of devices of the first device, +.>For a first preset constant value, +.>For the third quantity weight->Is a second preset constant value, +.>Is->Monitoring prevention management coefficient of the first device, < >>The upper limit value of the first device corresponding to the first management end.

In a second aspect of the embodiment of the present invention, there is provided a supply chain risk overall process monitoring, prevention and control management system, including:

the system comprises an acquisition module, a storage module and a control module, wherein the acquisition module is used for acquiring all first equipment in a supply chain and a first state corresponding to each first equipment, and the first state at least comprises one of a distribution configuration state, a use state and a scrapped state;

The determining module is used for determining corresponding first models according to the first states, each first model is provided with a corresponding first data acquisition interface group, and first acquisition information corresponding to first equipment is acquired according to the first data acquisition interface group;

the first model is used for acquiring a preset first reference information template, and adjusting the first reference information template according to the second acquired information to obtain a corresponding second reference information template;

the generation module is used for generating an expansion display area for a second reference information template based on the second acquired information and a template adjustment strategy, and the second reference information template and the expansion display area generate the second reference information template;

the computing module is used for computing according to the second acquired information to obtain extended display information corresponding to the extended display area, wherein the extended display information at least comprises one of display monitoring information, prevention and control information and management information;

and the filling module is used for respectively filling the second acquired information and the expansion display information into a second reference information template to obtain first monitoring, prevention and control management data corresponding to the corresponding first equipment of the supply chain.

In a third aspect of an embodiment of the present invention, there is provided an electronic device including: a memory, a processor and a computer program stored in the memory, the processor running the computer program to perform the first aspect of the invention and the methods that the first aspect may relate to.

In a fourth aspect of embodiments of the present invention, there is provided a storage medium having stored therein a computer program for implementing the method of the first aspect and the various possible aspects of the first aspect when executed by a processor.

The beneficial effects are that: 1. the method and the system can obtain the attribute information and the state information of all the first devices in the supply chain, determine the corresponding first model by combining the attribute information and the state information, automatically obtain a group of first data acquisition interface groups, and automatically acquire the data of the first devices by combining the first data acquisition interface groups to obtain corresponding acquisition information. Meanwhile, the acquired information can be automatically analyzed, in the analysis process, the acquired information can be analyzed by combining the first reference information template and the second reference information template, corresponding expansion display areas are obtained by combining different information dimensions and template adjustment strategies, corresponding display information is displayed, first monitoring prevention and control management data corresponding to corresponding first equipment of a supply chain can be obtained through the mode, and therefore automatic large-scale monitoring can be formed by combining different states and different attributes of the power equipment.

2. According to the scheme, different first states of the first equipment are combined to obtain corresponding different first Internet of things equipment, data acquisition is carried out on data in corresponding stages, and first acquisition information corresponding to the first equipment is obtained. Then, the corresponding first analysis strategy is determined by combining the type of the first acquired information, the first acquired information is automatically analyzed by using the first analysis strategy, and the information template is adjusted by combining the analysis result. During adjustment, different adjustment modes can be carried out according to different analysis results, wherein the second reference display slot is deleted and adjusted, and the third reference display slot is replaced and adjusted by preset display information, so that a corresponding second reference information template is obtained and sent to a corresponding first management end. By the method, data can be automatically acquired according to different stages and different states, and the data can be automatically analyzed and adjusted, so that the data received by the first management end is visual. In addition, the scheme can combine the difference of the data, determine the corresponding template adjustment strategy, obtain the template with or without the expansion display slot, and combine the calculation result to display the corresponding expansion display information.

3. According to the method, the defect data of different dimensions are combined to perform comprehensive calculation to obtain the monitoring prevention management coefficient, the whole process state of the first equipment is evaluated and analyzed, and finally the first management end is comprehensively analyzed by combining the monitoring prevention management coefficient and the total number of the first equipment to obtain the corresponding coefficient to evaluate. When the monitoring prevention and control management coefficient is calculated, the method can combine flaw data with different dimensions to obtain a number dimension coefficient and an equipment dimension coefficient, and then the number dimension coefficient and the equipment dimension coefficient are calculated comprehensively; when the coefficient for comprehensively analyzing the first management end is calculated, the scheme can be combined with the total number of the devices of the first device and the monitoring prevention management coefficient to be comprehensively calculated, so that corresponding evaluation data are obtained.

Drawings

Fig. 1 is a schematic flow chart of a method for monitoring, controlling and managing a whole process of risk of a supply chain according to an embodiment of the present invention;

fig. 2 is a schematic structural diagram of a supply chain risk overall process monitoring, prevention and control management system according to an embodiment of the present invention.

Detailed Description

For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

The terms "first," "second," "third," "fourth" and the like in the description and in the claims and in the above drawings, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein.

It should be understood that, in various embodiments of the present invention, the sequence number of each process does not mean that the execution sequence of each process should be determined by its functions and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

It should be understood that in the present invention, "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements that are expressly listed or inherent to such process, method, article, or apparatus.

It should be understood that in the present invention, "plurality" means two or more. "and/or" is merely an association relationship describing an association object, meaning that there may be three relationships, e.g., a and/or B, may represent: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship. "comprising A, B and C", "comprising A, B, C" means that all three of A, B, C comprise, "comprising A, B or C" means that one of the three comprises A, B, C, and "comprising A, B and/or C" means that any 1 or any 2 or 3 of the three comprises A, B, C.

It should be understood that in the present invention, "B corresponding to a", "a corresponding to B", or "B corresponding to a" means that B is associated with a, from which B can be determined. Determining B from a does not mean determining B from a alone, but may also determine B from a and/or other information. The matching of A and B is that the similarity of A and B is larger than or equal to a preset threshold value.

As used herein, "if" may be interpreted as "at … …" or "at … …" or "in response to a determination" or "in response to detection" depending on the context.

The technical scheme of the invention is described in detail below by specific examples. The following embodiments may be combined with each other, and some embodiments may not be repeated for the same or similar concepts or processes.

Referring to fig. 1, a flow chart of a supply chain risk overall process monitoring, prevention and control management method provided by an embodiment of the present invention includes S1-S6:

s1, acquiring all first devices in a supply chain and first states corresponding to the first devices, wherein the first states at least comprise one of a distribution configuration state, a use state and a scrapped state.

It will be appreciated that there are a plurality of first devices, such as power devices, e.g. transformers, within the supply chain. It will also be appreciated that the overall process of the first device includes a dispensing process, a use process and a discard process, with the first device being in different states at different stages. Therefore, the scheme monitors the distribution configuration state, the use state and the scrapped state of the first equipment.

In some embodiments, S1 (acquiring all the first devices in the supply chain and the first state corresponding to each first device, where the first state includes at least one of a dispensing configuration state, a use state, and a discard state) includes S11-S12:

S11, after the purchase of the equipment is completed in the purchase system and the corresponding equipment information is input, the corresponding equipment is used as the first equipment, and the information corresponding to the first equipment is generated.

It should be noted that the first device also includes a device attribute, for example, a device type, a device model, etc. After the purchase of the equipment is completed in the purchase system and the corresponding equipment information is input, the corresponding equipment is used as the first equipment, and the information corresponding to the first equipment is generated.

S12, receiving a first state added to the first equipment by the user and the configured related Internet of things equipment, wherein different first states correspond to different first Internet of things equipment.

Meanwhile, the scheme can receive the first state added by the user to the first equipment and the configured related internet of things equipment, and collect data of the first equipment, wherein different first states correspond to different first internet of things equipment. For example, for the first device a, in the delivery state, the configured related internet of things device may be a location acquisition device, so as to acquire the location of the first device a; in a use state, the configured related internet of things equipment can be temperature acquisition equipment, humidity acquisition equipment and the like, so as to acquire the temperature and the humidity of the first equipment A; in the scrapped state, the configured related internet of things equipment can be position acquisition equipment and the like to acquire the position of the first equipment A. It should be noted that the foregoing is by way of example only and is not limited to the foregoing examples.

S2, determining corresponding first models according to the first states, wherein each first model is provided with a corresponding first data acquisition interface group, and acquiring first acquisition information corresponding to first equipment according to the first data acquisition interface group.

The present solution determines the corresponding first model based on the first state, i.e. in connection with the stage in which the first device lock is located.

Each first model is provided with a corresponding first data acquisition interface group, and first acquisition information corresponding to the first equipment is acquired according to the first data acquisition interface group.

In some embodiments, S2 (determining corresponding first models according to the first state, each first model having a corresponding first data acquisition interface group according to which first acquisition information corresponding to a first device is acquired) includes S21-S24:

s21, determining corresponding first models according to the first states, wherein each first state is provided with a preset first model.

The method and the device can determine corresponding first models by combining first states of the first device, and each first state is provided with a preset first model.

S22, determining a corresponding first data acquisition interface group according to the first model, wherein the first data acquisition interface group comprises a plurality of preset Internet of things devices.

After the first model is determined, the corresponding first data acquisition interface group is determined according to the first model, wherein the first data acquisition interface group comprises a plurality of preset internet of things devices, namely, data acquisition of corresponding dimensions is realized by utilizing the corresponding preset internet of things devices.

S23, comparing the preset Internet of things equipment with first Internet of things equipment of first equipment to obtain the same Internet of things equipment set and a different Internet of things equipment set, wherein the Internet of things equipment in the different Internet of things equipment set is the Internet of things equipment which exists in the preset Internet of things equipment and does not exist in the first Internet of things equipment.

After a plurality of preset Internet of things devices are obtained, the preset Internet of things devices are compared with first Internet of things devices of first devices to obtain the same Internet of things device set and different Internet of things device sets.

The first internet of things device of the first device refers to actually configured internet of things devices, and the preset internet of things device refers to standard internet of things devices needing to be configured. The same Internet of things device set refers to the same device between the first Internet of things device of the first device and the preset Internet of things device. The Internet of things equipment in the Internet of things equipment set is distinguished to be Internet of things equipment which exists in preset Internet of things equipment and does not exist in first Internet of things equipment, namely the Internet of things equipment which is missing in actual configuration.

S24, determining all the associated Internet of things equipment according to the same Internet of things equipment set, and acquiring corresponding information to obtain first acquired information corresponding to the first equipment.

According to the scheme, all the associated Internet of things devices are determined according to the same Internet of things device set, corresponding information is collected, and first collection information corresponding to the first device is obtained. It will be appreciated that the first acquired information is the desired and acquired information.

S3, analyzing the first acquired information by the first model to determine second acquired information meeting preset requirements, calling a preset first reference information template by the first model, and adjusting the first reference information template according to the second acquired information to obtain a corresponding second reference information template.

After the first acquired information is obtained, the first model of the scheme can analyze the first acquired information to determine the second acquired information meeting the preset requirement. It should be noted that, in the scheme, the analysis strategy is configured for some dimension data needing to be determined to determine whether the acquired first acquired information meets the preset requirement, and the first acquired information meeting the preset requirement is used as the second acquired information.

After the second acquired information is obtained, the first model of the scheme can call a preset first reference information template, and then the first reference information template is adjusted according to the second acquired information to obtain a corresponding second reference information template. The first reference information template is preset by a worker in advance.

In some embodiments, S3 (the first model analyzes the first collected information to determine second collected information meeting the preset requirement, the first model invokes a preset first reference information template, and adjusts the first reference information template according to the second collected information to obtain a corresponding second reference information template) includes S31-S33:

s31, the first model determines a corresponding first analysis strategy according to the type of the first acquired information, and if the first acquired information meets the first analysis strategy, the corresponding first acquired information is used as second acquired information.

Firstly, the first model of the scheme can determine a corresponding first analysis strategy by combining the types of the first acquired information, and if the first acquired information meets the first analysis strategy, the scheme can take the corresponding first acquired information as second acquired information. For example, when the first collected information is temperature, the first analysis strategy of the scheme may be to set a larger temperature interval for data judgment to judge whether the collected temperature is within the temperature interval, if not, the collected data is indicated to be incorrect, and if so, the collected data is indicated to meet the preset requirement. It is worth mentioning that, because some internet of things equipment may be damaged under some uses, the collected data is abnormal, and through the above manner, analysis and judgment can be performed.

And S32, if the first acquired information does not meet the first analysis strategy, taking the corresponding first acquired information as third acquired information.

The first acquired information which does not meet the first analysis strategy is taken as third acquired information.

S33, the first model invokes a preset first reference information template, and the first reference information template is differentially regulated according to the third acquired information and the different Internet of things equipment set to obtain a corresponding second reference information template.

The first model of the scheme can call a preset first reference information template, and then the first reference information template is differentially regulated according to the third acquired information and the different Internet of things equipment set to obtain a corresponding second reference information template, and a specific regulation mode is described below.

Wherein S33 (the first model invokes a preset first reference information template, and the second reference information template corresponding to the first reference information template obtained by differentially adjusting the first reference information template according to the third collected information and the set of different internet of things devices) includes S331-S333:

s331, the first reference information template comprises a plurality of first reference display slots, the first reference display slots corresponding to the different Internet of things devices in the different Internet of things device set are used as second reference display slots, and all the second reference display slots are deleted from the first reference information template.

The first reference information template comprises a plurality of first reference display slots for filling corresponding data, the first reference display slots corresponding to the different Internet of things devices in the different Internet of things device set are used as second reference display slots, and all the second reference display slots are deleted from the first reference information template.

It can be understood that the difference internet of things equipment set refers to the internet of things equipment which should be configured but is not actually configured, that is, corresponding display slots are not filled with corresponding data, at this time, the corresponding slots are marked as second reference display slots by the scheme, and then all the second reference display slots are deleted from the first reference information template.

S332, taking the first reference display slot position corresponding to the third acquired information as a third reference display slot position, and filling preset display information into the third reference display slot position to obtain a corresponding second reference information template.

It can be understood that the third acquired information is incorrect information, and the first reference display slot corresponding to the third acquired information is used as the third reference display slot, and then the third reference display slot is filled with preset display information to obtain a corresponding second reference information template.

The preset display information may be, for example, error, or a specific preset display symbol.

S333, counting all second reference display slots and third reference display slots to generate corresponding information feedback templates and monitoring prevention and control management coefficients, and sending the information feedback templates and the monitoring prevention and control management coefficients to first management ends, wherein each first device is provided with a corresponding first management end.

The scheme can count all second reference display slots and third reference display slots to generate corresponding information feedback templates and monitor, prevent and control management coefficients. It can be understood that the second reference display slot position and the third reference display slot position are flaw data, and the information feedback template and the monitoring prevention management coefficient can be obtained by combining the data.

After the information feedback template and the monitoring prevention and control management coefficient are obtained, the information feedback template and the monitoring prevention and control management coefficient are sent to the first management end, and each first device is provided with a corresponding first management end. A first management end may correspond to a worker.

Wherein S333 (counting all second reference display slots and third reference display slots to generate corresponding information feedback templates and monitoring prevention and control management coefficients, and sending the information feedback templates and the monitoring prevention and control management coefficients to the first management end, where each first device has a corresponding first management end) includes S3331-S3333:

S3331, counting the number of second reference display slots to obtain the missing number of the Internet of things equipment, counting the number of third reference display slots to obtain the damaged number of the Internet of things equipment, and calculating according to the missing number and the damaged number to obtain a number dimension coefficient.

According to the scheme, the number of the second reference display slots can be counted to obtain the missing number of the Internet of things equipment, meanwhile, the number of the third reference display slots is counted to obtain the damage number of the Internet of things equipment, and the missing number and the damage number are combined to calculate to obtain the number dimension coefficient.

It will be appreciated that the greater the number of defects and the number of damages, the more severe the representative flaws, and the greater the corresponding number of dimensional coefficients.

S3332, acquiring missing weights of the Internet of things equipment corresponding to the second reference display slot positions and damage weights of the Internet of things equipment corresponding to the third reference display slot positions, and calculating according to the missing weights and the damage weights to obtain equipment dimension coefficients.

Meanwhile, the importance of the corresponding dimension data is considered, and it can be understood that the importance degree of the data in different dimensions is different, so that the missing weight of the internet of things equipment corresponding to the second reference display slot position and the damage weight of the internet of things equipment corresponding to the third reference display slot position can be obtained, and the equipment dimension coefficient is obtained by calculating in combination with the missing weight and the damage weight. It will also be appreciated that the more important the data of the corresponding dimension, the greater the resulting device dimension factor.

S3333, adding the number dimension coefficients and the equipment dimension coefficients to obtain the monitoring prevention and control management coefficients of the corresponding feedback templates.

The monitoring prevention management coefficient is calculated by the following formula,

，

wherein,is->Monitoring prevention management coefficient of the first device, < >>For the number of deletions->In order to minimize the number of damages,for the first quantity weight->For the second number of weights ∈>For the number normalization coefficient, +.>Is->Missing weight or damaging weight of personal internet of things equipment, < ->Is the upper limit value of the number of the devices of the Internet of things, </i >>The coefficients are normalized for the device.

In the above-mentioned formula(s),coefficients representing missing number dimensions of internet of things devices, < ->Coefficients representing the damage number dimension of the internet of things device, < ->Representing the number dimension coefficients. />Representing the sum of missing weights or damage weights of a plurality of Internet of things devices, wherein the larger the value is, the corresponding device dimension coefficient is +.>The larger. Wherein (1)>First quantity weight, < >>Second number weight, < >>Quantity normalization coefficient +.>The device normalization coefficient may be preset by a worker. Wherein (1)>The first quantitative weight may be set to be greater than +.>A second number of weights.

S4, generating an expansion display area for a second reference information template based on the second acquired information and a template adjustment strategy, wherein the second reference information template and the expansion display area generate the second reference information template.

The scheme can combine the second acquired information and the template adjustment strategy to generate an expansion display area for the second reference information template, wherein the second reference information template and the expansion display area generate the second reference information template.

In some embodiments, S4 (generating an extended presentation area for a second reference information template based on the second acquisition information and the template adjustment policy, the second reference information template and the extended presentation area generating a second reference information template) comprises S41-S43:

s41, determining a corresponding template adjustment strategy according to the second reference display slot, wherein the template adjustment strategy comprises the steps that the corresponding second reference display slot is provided with an expansion display slot or is not provided with an expansion display slot, and the expansion display slot is provided with corresponding expansion conditions.

It should be noted that the second collected information is information meeting the preset requirement, however, it only indicates that the collected data is normal, but whether the first device is normal or not, and the judgment needs to be made in combination with the collected second collected information.

Firstly, the corresponding template adjustment strategy is determined by combining the second reference display slots, wherein the template adjustment strategy comprises the steps that the corresponding second reference display slots are provided with or not provided with the expansion display slots, and the expansion display slots are provided with corresponding expansion conditions.

It will be appreciated that the configuration conditions corresponding to the different second reference display slots are different, some of the second reference display slots have expansion conditions that are expansion display slots, and some of the second reference display slots do not have expansion conditions that are common second reference display slots. Which is set in advance in connection with the data dimension corresponding to the second reference display slot.

For example, for the second reference display slot corresponding to the temperature dimension, a corresponding expansion condition may be configured, and after the corresponding expansion condition is triggered, the corresponding expansion display slot performs a corresponding action.

S42, determining corresponding expansion conditions if the second reference display slots are expansion display slots, and generating at least one expansion display slot corresponding to the second reference display slots if the second acquired information meets the expansion conditions, wherein each expansion display slot corresponding to the second reference display slot corresponds to one expansion display area.

And if the second reference display slots are expansion display slots, corresponding expansion conditions are determined, and then when the second acquired information is judged to meet the expansion conditions, at least one expansion display slot corresponding to the second reference display slots is generated, and each expansion display slot corresponding to the second reference display slot corresponds to one expansion display area.

S43, generating a second reference information template according to all the second reference display slots and the expansion display slots, and corresponding the corresponding second reference display slots and the expansion display slots.

The second reference information template can be generated according to all the second reference display slots and the expansion display slots, and then the corresponding second reference display slots and the expansion display slots are corresponding.

And S5, calculating according to the second acquired information to obtain extended display information corresponding to the extended display area, wherein the extended display information at least comprises one of display monitoring information, prevention and control information and management information.

According to the scheme, calculation is performed according to the second acquired information to obtain the extended display information corresponding to the extended display area, wherein the extended display information at least comprises one of display monitoring information, prevention and control information and management information.

In some embodiments, S5 (calculating according to the second collected information to obtain extended display information corresponding to the extended display area, where the extended display information includes at least one of display monitoring information, prevention information, and management information) includes:

It will be appreciated that each second acquisition corresponds to a first calculation strategy. For example, for the temperature dimension, the first calculation strategy may perform calculation comparison on the temperature dimension and a standard temperature interval, so as to obtain results of excessively low temperature, excessively high temperature, moderately high temperature, and the like.

Each calculation result is provided with at least one corresponding expansion display information, and the expansion display information at least comprises one of display monitoring information, prevention and control information and management information. The display monitoring information is, for example, that the temperature is too high, the prevention and control information is, for example, that the load is reduced, and the management information is, for example, that the maintenance is performed. The foregoing is merely exemplary to facilitate the description.

And S6, filling the second acquired information and the expansion display information into a second reference information template respectively to obtain first monitoring, prevention and control management data corresponding to the corresponding first equipment of the supply chain.

According to the scheme, the second acquired information and the expansion display information are respectively filled into the second reference information template, and then the first monitoring prevention and control management data corresponding to the corresponding first equipment of the supply chain is obtained.

On the basis of the above embodiment, further includes calculating an evaluation coefficient for the first management side:

And obtaining the total number of the devices of the first devices corresponding to the first management end, and comprehensively calculating the due-job evaluation coefficients of the corresponding first management end according to the total number of the devices and the monitoring prevention control management coefficients of each first device.

Firstly, the method can obtain the total number of the devices of the first devices corresponding to the first management end, and comprehensively calculate the due-job evaluation coefficients of the corresponding first management end according to the total number of the devices and the monitoring prevention and control management coefficients of each first device.

It will be appreciated that the greater the total number of devices, the greater the corresponding management complexity and the corresponding due evaluation coefficient. The larger the monitoring prevention and control management coefficient is, the more serious the defect is, and the lower the corresponding due evaluation coefficient is.

And if the due evaluation coefficient is smaller than the preset evaluation coefficient, sending the first identity label of the corresponding first management end to the second management end. The second management end can be the upper level of the first management end, and a prompt for supervising the first management end is sent to the second management end when the coefficient is lower.

The due-job evaluation coefficient of the first management side is calculated by the following formula,

，

wherein,is->The due evaluation coefficient of the first management side,/- >For the total number of devices of the first device, +.>For a first preset constant value, +.>For the third quantity weight->Is a second preset constant value, +.>Is->Monitoring prevention management coefficient of the first device, < >>The upper limit value of the first device corresponding to the first management end.

In the above-mentioned formula(s),the larger the total number of devices is, the corresponding +.>The bigger the +.>The larger the monitoring prevention management coefficient is, the more serious the defect is, the smaller the value is, and the lower the corresponding due evaluation coefficient is. Wherein the third quantitative weight->May be preset by a worker.

Referring to fig. 2, a schematic structural diagram of a supply chain risk overall process monitoring, prevention and control management system according to an embodiment of the present invention includes:

The embodiment of the invention provides electronic equipment, which comprises: a processor, a memory and a computer program; wherein the method comprises the steps of

And a memory for storing the computer program, which may also be a flash memory (flash). Such as application programs, functional modules, etc. implementing the methods described above.

And the processor is used for executing the computer program stored in the memory to realize each step executed by the equipment in the method. Reference may be made in particular to the description of the embodiments of the method described above.

In the alternative, the memory may be separate or integrated with the processor.

When the memory is a device separate from the processor, the apparatus may further include:

and the bus is used for connecting the memory and the processor.

The present invention also provides a storage medium having stored therein a computer program for implementing the methods provided by the various embodiments described above when executed by a processor.

The storage medium may be a computer storage medium or a communication medium. Communication media includes any medium that facilitates transfer of a computer program from one place to another. Computer storage media can be any available media that can be accessed by a general purpose or special purpose computer. For example, a storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an application specific integrated circuit (Application Specific Integrated Circuits, ASIC for short). In addition, the ASIC may reside in a user device. The processor and the storage medium may reside as discrete components in a communication device. The storage medium may be read-only memory (ROM), random-access memory (RAM), CD-ROMs, magnetic tape, floppy disk, optical data storage device, etc.

The present invention also provides a program product comprising execution instructions stored in a storage medium. The at least one processor of the device may read the execution instructions from the storage medium, the execution instructions being executed by the at least one processor to cause the device to implement the methods provided by the various embodiments described above.

In the above embodiments of the terminal or the server, it should be understood that the processor may be a central processing unit (english: central Processing Unit, abbreviated as CPU), or may be other general purpose processors, digital signal processors (english: digital Signal Processor, abbreviated as DSP), application specific integrated circuits (english: application Specific Integrated Circuit, abbreviated as ASIC), or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor for execution, or in a combination of hardware and software modules in a processor for execution.

Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention.

Claims

1. The whole supply chain risk process monitoring, prevention and control management method is characterized by comprising the following steps:

2. The supply chain risk overall process monitoring prevention and control management method of claim 1, wherein,

the method includes the steps of obtaining all first devices in a supply chain and first states corresponding to each first device, wherein the first states at least comprise one of distribution configuration states, use states and scrapped states, and the method includes the steps of:

3. The supply chain risk overall process monitoring prevention and control management method of claim 2, wherein,

the different first states correspond to different first Internet of things devices.

4. The supply chain risk overall process monitoring prevention and control management method as set forth in claim 3, wherein,

the determining corresponding first models according to the first states, each first model having a corresponding first data acquisition interface group, acquiring first acquisition information corresponding to a first device according to the first data acquisition interface group, including:

5. The supply chain risk overall process monitoring prevention and control management method as set forth in claim 4, wherein,

the first model analyzes the first acquired information to determine second acquired information meeting preset requirements, the first model invokes a preset first reference information template, and adjusts the first reference information template according to the second acquired information to obtain a corresponding second reference information template, and the method comprises the following steps:

6. The supply chain risk overall process monitoring prevention and control management method as set forth in claim 5, wherein,

the first model invokes a preset first reference information template, and the first reference information template is differentially regulated according to the third acquired information and the difference Internet of things equipment set to obtain a corresponding second reference information template, which comprises the following steps:

7. The supply chain risk overall process monitoring prevention and control management method as set forth in claim 6, wherein,

the generating an extended display area for the second reference information template based on the second collected information and the template adjustment strategy, the generating the second reference information template by the second reference information template and the extended display area comprises the following steps:

8. The supply chain risk overall process monitoring prevention and control management method as set forth in claim 7, wherein,

the calculating according to the second collected information to obtain extended display information corresponding to the extended display area, where the extended display information at least includes one of display monitoring information, prevention and control information and management information, and the method includes:

9. The supply chain risk overall process monitoring prevention and control management method as set forth in claim 6, wherein,

the statistics of all the second reference display slots and the third reference display slots generates corresponding information feedback templates and monitoring prevention and control management coefficients, and the information feedback templates and the monitoring prevention and control management coefficients are sent to the first management end, and each first device is provided with a corresponding first management end, and the statistics method comprises the following steps:

10. The supply chain risk overall process monitoring prevention and control management method of claim 9, wherein,

，

wherein,is->Monitoring prevention management coefficient of the first device, < >>For the number of deletions->For the number of damages +.>For the first quantity weight->For the second number of weights ∈>For the number normalization coefficient, +.>Is->Missing weight or damaging weight of personal internet of things equipment, < ->Is the upper limit value of the number of the devices of the Internet of things, </i >>The coefficients are normalized for the device.

11. The supply chain risk overall process monitoring prevention management method of claim 10, further comprising:

12. The supply chain risk overall process monitoring prevention and control management method of claim 11, wherein,

，

wherein,is->The due evaluation coefficient of the first management side,/->For the total number of devices of the first device, +.>For a first preset constant value, +.>For the third quantitative weight, d is a second preset constant value, < >>Is->Monitoring prevention management coefficient of the first device, < >>The upper limit value of the first device corresponding to the first management end.

13. Supply chain risk overall process monitoring prevention and control management system, characterized by comprising:

14. An electronic device, comprising: a memory, a processor and a computer program stored in the memory, the processor running the computer program to perform the method of any one of claims 1 to 12.

15. A storage medium having stored therein a computer program for implementing the method of any of claims 1 to 12 when executed by a processor.