CN112967066A - Distribution automation equipment detects overall process management and control analytic system - Google Patents
Distribution automation equipment detects overall process management and control analytic system Download PDFInfo
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Abstract
The invention discloses a management and control analysis system for the whole detection process of distribution automation equipment, which can generate equipment numbers, warehousing labels, payment labels, detection labels, printing labels, ex-warehouse labels, return labels, defect feedback labels, precision labels and evaluation values corresponding to the equipment, display and count in real time, facilitate the inspection of suppliers and managers, realize the communication of the front and rear links of the distribution automation equipment detection, realize the efficient flow operation mode from the delivery inspection to the ex-warehouse, reduce the labor cost of each link, optimize the working efficiency, simultaneously, a buyer can obtain the column diagram, the defect feedback labels and the precision labels of the detection results to carry out multi-directional evaluation on the products of equipment manufacturers, optimize the supplier system and simultaneously improve the quality of the distribution automation equipment, powerful support is provided for distribution network automation actual business.
Description
Technical Field
The invention belongs to the field of power grid automation, relates to a monitoring, control and analysis technology, and particularly relates to a control and analysis system for the whole detection process of distribution automation equipment.
Background
A Distribution automation terminal (Distribution terminal for short) is a general name of various remote monitoring and control units installed in a power Distribution network, and completes functions of data acquisition, control, communication and the like. Among them, the detection categories of the distribution automation terminal may be classified into type inspection, factory inspection, sampling inspection, arrival-at-stock inspection, and the like. For example, the pattern check includes: a) when a new product is shaped or an old product is transferred to a factory for production; b) mass production equipment (more than 100 per year) is used once every two years; c) small-batch production equipment is used once every three years; d) significant improvements in design and process can affect product performance; e) when the contract stipulates that there is type test requirement; f) when the national or company quality supervision agency sets out the requirement for type checking. For example, a power distribution terminal manufacturing enterprise needs to perform factory inspection before a product is shipped, and the product can be shipped after being qualified. For example, the distribution terminal sampling inspection can be arranged when the equipment produced in batch or continuously is checked, or according to the operation conditions of the distribution automation system and the distribution terminal. The sampling detection rate is not less than 15%. For example, after the equipment arrives, the distribution terminal arrives for full inspection before installation on site. For effectively managing and controlling the quality of the power distribution terminal, improving the detection efficiency of the terminal in the full detection mode, the detection is carried out according to various detection items according to the detection technical specification requirement of the power distribution automation equipment.
Disclosure of Invention
The invention aims to provide a management and control analysis system for the whole detection process of distribution automation equipment, which is used for solving the problems of low degree of process, high labor cost and low working efficiency of the conventional detection system.
The purpose of the invention can be realized by the following technical scheme:
a management and control analysis system for the whole detection process of distribution automation equipment comprises an equipment numbering module, an equipment tracking module, a demand distribution module and an analysis management module;
the analysis management module is used for acquiring a device number, a warehousing label, a payment label, a detection label, a printing label, a delivery label, a return label, a defect feedback label, a precision label and a score value corresponding to the device and displaying the device number, the delivery label, the payment label, the detection label, the delivery label, the return label, the defect feedback label, the precision label and the score value in real time;
and when any one or more of the equipment number, the warehousing label, the payment label, the detection label, the printing label, the ex-warehouse label, the return label, the defect feedback label, the precision label and the score value corresponding to the equipment does not exist, the equipment number, the warehousing label, the payment label, the detection label, the printing label, the ex-warehouse label, the return label, the defect feedback label, the precision label and the score value are not displayed.
Further, the equipment numbering module comprises an equipment identification unit, an equipment coding unit, an equipment time node unit, an equipment label unit and a data storage unit;
the equipment identification unit is used for identifying the equipment type and generating a type label, specifically, image acquisition is carried out on the equipment through a camera shooting acquisition node, an entity model of the equipment is established through three-dimensional modeling software, the entity model is substituted into a characteristic analysis model to obtain a characteristic value of the equipment, the characteristic value is compared with characteristic data in an equipment characteristic library, and the equipment type corresponding to the successfully compared characteristic data is marked as the type label;
the type label comprises an equipment name, an equipment manufacturer and an equipment type;
the device coding unit is used for acquiring a coding value of the device and generating a coding label, specifically, acquiring image acquisition data of the device, establishing data connection with image recognition software, performing image recognition on the image acquisition data, marking a code or batch information in a recognition result as a coding value, and recording the coding value as a coding label;
the equipment time node unit is used for recording equipment identification time nodes and generating time labels, and specifically, when the camera shooting acquisition node acquires images of equipment, Beijing time information and perpetual calendar information at the moment are acquired; generating a time label according to the perpetual calendar information-Beijing time information;
the equipment label unit is used for numbering and arranging the type label, the coding label and the time label corresponding to the equipment according to a standard mode to generate an equipment number of the equipment;
the numbering standard arrangement is specifically time tag-type tag-coding tag;
further, the feature analysis model comprises an input layer, a normalization layer, a selection layer, a learning layer and an output layer;
the input layer is used for acquiring a model vector corresponding to the entity model of the equipment;
the normalization layer is used for selecting a standard model vector as a reference direction model vector;
the selection layer is used for selecting the model vector of the entity model corresponding to the reference direction model vector and marking the model vector as a characteristic value;
the learning layer performs iterative learning on the reference direction model vector through a convolutional neural network;
and the output layer acquires and outputs the characteristic value.
Further, the reference direction model vector is specifically a model vector of the lowest point in a standard three-dimensional view.
Furthermore, the equipment tracking module comprises an equipment warehousing unit, a fee payment unit, a detection implementation unit, an application unit, a warehouse-out unit and a goods returning unit;
the equipment warehousing unit is used for recording warehousing information of equipment and generating warehousing labels, and specifically comprises the steps of obtaining warehousing time, warehousing staff, warehouse names and warehousing numbers of the equipment, and generating the warehousing labels through the arrangement of the warehousing time, the warehousing numbers, the warehouse names and the warehousing staff;
the fee payment unit is used for generating a payment label; specifically, the payment condition of the equipment corresponding to a supplier is obtained, wherein the payment condition comprises payment or non-payment and payment time corresponding to the payment condition, and a payment label is generated through the arrangement of the payment condition and the payment time; when the payment condition is not payment, a payment label is not generated;
the detection implementation unit is used for recording the detection result and generating a detection label, and specifically, the detection implementation unit is used for acquiring the detection result and a detection number and generating the detection label through arrangement of the detection number and the detection result; the detection result is specifically qualified or unqualified;
the application unit is used for recording the application for printing of the equipment and generating a label for printing, and specifically, the application for printing and the time point for printing are obtained;
the ex-warehouse unit is used for recording ex-warehouse information of the equipment and generating ex-warehouse labels, specifically, the ex-warehouse time of the equipment and ex-warehouse operators are obtained, and the ex-warehouse labels are generated through the arrangement of the ex-warehouse time and the ex-warehouse operators;
the goods returning unit is used for recording goods returning information of the equipment and generating goods returning labels, specifically, the goods returning time and the goods returning operators of the equipment are obtained, and the goods returning labels are generated through the arrangement of the goods returning time and the goods returning operators.
Further, the demand distribution module comprises a detection result statistic unit, an equipment defect feedback unit, an accuracy analysis unit and a supplier evaluation unit;
the detection result counting unit is used for acquiring detection labels of the label equipment of the same type, counting detection results corresponding to the detection labels and generating a bar graph;
the device defect feedback unit is used for acquiring a detection report of unqualified devices corresponding to the detection labels, sending the detection report to a defect auditing expert port for auditing, collecting feedback results and generating defect feedback labels:
the precision analysis unit is used for acquiring a precision report of the equipment and generating a precision label;
the supplier evaluation unit is used for evaluating suppliers, and specifically, the supplier evaluation unit is used for obtaining detection labels of all equipment corresponding to equipment manufacturers and obtaining a scoring value through a scoring formula.
Further, the scoring formula, specifically,
further, the audit expert port is composed of selected personnel of the detection center.
Compared with the prior art, the invention has the beneficial effects that:
(1) the analysis management module is used for acquiring a device number, a warehousing label, a payment label, a detection label, a printing label, a delivery label, a return label, a defect feedback label, a precision label and a score value corresponding to the device and displaying the device number, the delivery label, the payment label, the detection label, the delivery label, the return label, the defect feedback label, the precision label and the score value in real time; specifically, when any one or more of the equipment number, the warehousing label, the payment label, the detection label, the printing label, the ex-warehouse label, the return label, the defect feedback label, the precision label and the score value corresponding to the equipment do not exist, the display is not carried out, the communication of the links before and after the detection of the distribution automation equipment is realized, the efficient flow operation mode from the delivery inspection to the ex-warehouse is realized, the communication labor cost of each link is reduced, and the work efficiency is optimized.
(2) The equipment numbering module comprises an equipment identification unit, an equipment coding unit, an equipment time node unit, an equipment label unit and a data storage unit; the equipment identification unit is used for identifying the equipment type and generating a type label, specifically, image acquisition is carried out on the equipment through a camera shooting acquisition node, an entity model of the equipment is established through three-dimensional modeling software, the entity model is substituted into a characteristic analysis model to obtain a characteristic value of the equipment, the characteristic value is compared with characteristic data in an equipment characteristic library, and the equipment type corresponding to the successfully compared characteristic data is marked as the type label; the type label comprises an equipment name, an equipment manufacturer and an equipment type; the device coding unit is used for acquiring a coding value of the device and generating a coding label, specifically, acquiring image acquisition data of the device, establishing data connection with image recognition software, performing image recognition on the image acquisition data, marking a code or batch information in a recognition result as a coding value, and recording the coding value as the coding label; the equipment time node unit is used for recording the equipment identification time node and generating a time label, and specifically, when the camera shooting acquisition node acquires an image of the equipment, acquiring Beijing time information and perpetual calendar information at the moment; generating a time label according to the perpetual calendar information-Beijing time information; the equipment label unit is used for numbering and arranging the type label, the coding label and the time label corresponding to the equipment according to a standard mode to generate an equipment number of the equipment; the standard arrangement of the number is specifically that the time tag, the type tag and the coding tag enable the products to be inspected to have specific codes, and the specific codes are the same as the three-dimensional model provided by a supplier, so that the condition that the inspected goods and quality goods provided by the supplier are different to cause fraudulent behaviors is avoided;
(3) the demand distribution module comprises a detection result statistic unit, an equipment defect feedback unit, an accuracy analysis unit and a supplier evaluation unit; the detection result counting unit is used for acquiring detection labels of the label equipment of the same type, counting detection results corresponding to the detection labels and generating a bar graph; the equipment defect feedback unit is used for acquiring a detection report of unqualified equipment corresponding to the detection label, sending the detection report to a defect auditing expert port for auditing, collecting a feedback result and generating a defect feedback label: the precision analysis unit is used for acquiring a precision report of the equipment and generating a precision label; the supplier evaluation unit is used for evaluating suppliers, specifically, obtaining detection labels of all equipment corresponding to equipment manufacturers, and obtaining a scoring value through a scoring formula. The invention provides a system analysis and feedback evaluation mechanism, optimizes the supplier system, improves the quality of the distribution automation equipment, and provides powerful support for the distribution network automation actual service.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
In order to make 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 described clearly and completely with reference to the accompanying drawings of the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
Thus, the detailed description of the embodiments of the present invention provided in the following drawings is not intended to limit the scope of the invention as claimed, but is merely representative of selected embodiments of the invention.
As shown in fig. 1, a system for managing, controlling and analyzing the whole process of detection of distribution automation equipment is characterized by comprising an equipment numbering module, an equipment tracking module, a demand distribution module and an analysis management module;
the device number module, the device tracking module, the demand distribution module and the analysis management module are all installed in the processor, and the processor is an integrated circuit chip and has signal processing capacity. In the implementation process, each step of detecting the overall process management and control analysis system by the distribution automation equipment may be completed by an integrated logic circuit of hardware in the processor or an instruction in the form of software. The Processor may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the device can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component. The various methods and steps of the invention in embodiments of the invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method according to the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and performs steps of the embodiments in combination with hardware thereof.
Specifically, the analysis management module is used for acquiring a device number, a warehousing label, a payment label, a detection label, a printing label, a delivery label, a return label, a defect feedback label, a precision label and a score value corresponding to the device, displaying the label in real time, and performing closed-loop management of real-time mastering, real-time tracking and rectification on the development of daily work of a detection center; through analysis functions such as statistics of the demand of business units, scientific prediction of equipment supply is achieved, and detection work is reasonably arranged;
specifically, when any one or more of an equipment number, a warehousing label, a payment label, a detection label, a printing label, a delivery label, a return label, a defect feedback label, a precision label and a score value corresponding to the equipment does not exist, the equipment number, the warehousing label, the payment label, the detection label, the printing label, the delivery label, the return label, the defect feedback label, the precision label and the score value are not displayed.
When the invention is implemented specifically, when a supplier sends the detected equipment to the detection center for detection, the equipment numbering module generates the equipment number for the equipment to be detected, so that the detection center can conveniently check the equipment in the future;
preferably, the device numbering module comprises a device identifying unit, a device coding unit, a device time node unit, a device label unit and a data storage unit;
the equipment identification unit is used for identifying the equipment type and generating a type label, specifically, image acquisition is carried out on the equipment through a camera shooting acquisition node, an entity model of the equipment is established through three-dimensional modeling software, the entity model is substituted into a characteristic analysis model to obtain a characteristic value of the equipment, the characteristic value is compared with characteristic data in an equipment characteristic library, and the equipment type corresponding to the successfully compared characteristic data is marked as the type label;
it should be noted that the device feature library is composed of three-dimensional models of devices provided by suppliers;
more preferably, the feature analysis model comprises an input layer, a normalization layer, a selection layer, a learning layer and an output layer;
the input layer is used for acquiring a model vector corresponding to the entity model of the equipment;
the normalization layer is used for selecting a standard model vector as a reference direction model vector; specifically, the reference direction model vector is a model vector of the lowest point in a standard three-dimensional view;
the selection layer is used for selecting the model vector of the entity model corresponding to the reference direction model vector and marking the model vector as a characteristic value;
the learning layer performs iterative learning on the reference direction model vector through a convolutional neural network;
specifically, the convolutional neural network comprises an external memory for storing an image to be processed;
the direct access unit is connected with the external memory and used for reading the image to be processed and transmitting the read data to the control unit; the control unit is connected with the direct access unit and used for storing data into the internal memory; the internal memory is connected with the control unit and used for caching data; and the operation unit is connected with the internal memory and is used for reading data from the internal memory and performing convolution pooling operation.
Wherein, the number of the arithmetic units is at least two.
Under the condition that all the operation units are connected in a cascade structure, the data of the nth layer is cached in an internal memory after being subjected to convolution pooling operation of the nth operation unit, the data after operation is taken out by the (n + 1) th operation unit, and the convolution pooling operation of the (n + 1) th layer is carried out, wherein n is a positive integer.
Under the condition that the operation units are connected in a parallel structure, the operation units respectively process partial images of the image to be processed, and the operation units adopt the same convolution kernel to carry out parallel convolution pooling operation.
Under the condition that the operation units are connected in a parallel structure, the operation units respectively extract different features of the image to be processed, and the operation units adopt different convolution kernels to perform parallel convolution pooling operation.
In the case where the number of the operation units is two, the two operation units extract contour information and detail information of the image to be processed, respectively.
The arithmetic unit comprises a convolution arithmetic unit, a pooling arithmetic unit, a buffer unit and a buffer control unit. The convolution operation unit is used for carrying out convolution operation on the data and transmitting an obtained convolution result to the pooling operation unit; the pooling operation unit is connected with the convolution operation unit and used for performing pooling operation on the convolution result and storing the obtained pooling result into the buffer unit; and the buffer control unit is used for storing the pooling result into the internal memory through the buffer unit or into the external memory through the direct access unit.
The external memory includes at least one of:
double-rate synchronous dynamic random access memory and synchronous dynamic random access memory.
The internal memory includes a static memory array including a plurality of static memories each for storing different data.
And the output layer acquires and outputs the characteristic value.
The type label comprises an equipment name, an equipment manufacturer and an equipment type;
the device coding unit is used for acquiring a coding value of the device and generating a coding label, specifically, acquiring image acquisition data of the device, establishing data connection with image recognition software, performing image recognition on the image acquisition data, marking a code or batch information in a recognition result as a coding value, and recording the coding value as the coding label;
the equipment time node unit is used for recording the equipment identification time node and generating a time label, and specifically, when the camera shooting acquisition node acquires an image of the equipment, acquiring Beijing time information and perpetual calendar information at the moment; generating a time label according to the perpetual calendar information-Beijing time information;
the equipment label unit is used for numbering and arranging the type label, the coding label and the time label corresponding to the equipment according to a standard mode to generate an equipment number of the equipment;
the standard arrangement of the numbers is specifically time tag-type tag-coding tag;
preferably, after the inspection device acquires the device number, the device tracking module tracks the detection process;
specifically, the equipment tracking module comprises an equipment warehousing unit, a fee payment unit, a detection implementation unit, an application unit, a warehouse-out unit and a goods returning unit;
the equipment warehousing unit is used for recording warehousing information of the equipment and generating warehousing labels, specifically, warehousing time, warehousing staff, warehouse names and warehousing numbers of the equipment are obtained, and the warehousing labels are generated through the arrangement of the warehousing time, the warehousing numbers, the warehouse names and the warehousing staff;
the fee payment unit is used for generating a payment label; specifically, the method comprises the steps that the equipment acquires the payment condition of a supplier, wherein the payment condition comprises payment or non-payment and payment time corresponding to the payment condition, and generates a payment label through the arrangement of the payment condition and the payment time; when the payment condition is not payment, a payment label is not generated;
the detection implementation unit is used for recording the detection result and generating a detection label, specifically, acquiring the detection result and a detection number, and generating the detection label through arrangement of the detection number and the detection result; the detection result is specifically qualified or unqualified;
the application unit is used for recording the application for printing of the equipment and generating a label for printing, and specifically, the application for printing and the time point for printing are obtained;
the ex-warehouse unit is used for recording ex-warehouse information of the equipment and generating ex-warehouse labels, specifically, the ex-warehouse time of the equipment and ex-warehouse operators are obtained, and the ex-warehouse labels are generated through the arrangement of the ex-warehouse time and the ex-warehouse operators;
the goods returning unit is used for recording goods returning information of the equipment and generating goods returning labels, specifically, the goods returning time and the goods returning operators of the equipment are obtained, and the goods returning labels are generated through arrangement of the goods returning time and the goods returning operators.
Preferably, the demand allocation records the detection statics of the equipment;
specifically, the demand distribution module comprises a detection result statistic unit, an equipment defect feedback unit, an accuracy analysis unit and a supplier evaluation unit;
the detection result counting unit is used for acquiring detection labels of the label equipment of the same type, counting detection results corresponding to the detection labels and generating a bar graph;
the equipment defect feedback unit is used for acquiring a detection report of unqualified equipment corresponding to the detection label, sending the detection report to a defect auditing expert port for auditing, collecting a feedback result and generating a defect feedback label:
the precision analysis unit is used for acquiring a precision report of the equipment and generating a precision label;
the supplier evaluation unit is used for evaluating suppliers, specifically, obtaining detection labels of all equipment corresponding to equipment manufacturers, and obtaining a scoring value through a scoring formula.
More specifically, the scoring formula, specifically,
it should be noted that the auditor port consists of selected personnel of the test center.
The communication of the links before and after detection of the distribution automation equipment can be realized through the generated equipment number and the corresponding warehousing label, the payment label, the printing label, the ex-warehouse label, the return label, the detection label, the defect feedback label and the precision label, the efficient flow operation mode from inspection delivery to ex-warehouse is realized, the communication labor cost of each link is reduced, and the work efficiency is optimized.
Meanwhile, equipment manufacturers can be sequenced through the grade values, and a purchasing party can analyze and evaluate the equipment manufacturers by taking the grade values of the equipment manufacturers as auxiliary means.
Meanwhile, a purchasing party can obtain the histogram, the defect feedback label and the precision label of the detection result to carry out multi-directional evaluation on products of equipment manufacturers, so that the quality of the distribution automation equipment is improved while a supplier system is optimized, and powerful support is provided for distribution network automation actual business.
In the above system for managing and controlling the whole process of detecting distribution automation equipment, the data storage unit is specifically a memory, i.e. a machine-readable storage medium, and is used to store one or more computer instructions, and the one or more computer instructions are executed by the processor to implement the above steps, which is not limited herein.
The Memory may include a high-speed Random Access Memory (RAM) and may also include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The communication connection between the network element of the system and at least one other network element is realized through at least one communication interface (which may be wired or wireless), and the internet, a wide area network, a local network, a metropolitan area network and the like can be used. The bus may be an ISA bus, a PCI bus, an EISA bus, or the like, and may be divided into an address bus, a data bus, a control bus, or the like.
The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula which obtains the latest real situation by acquiring a large amount of data and performing software simulation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
In the embodiments provided by the present invention, it should be understood that the disclosed apparatus, device and method can be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and there may be other divisions when the actual implementation is performed; the modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the method of the embodiment.
It will also be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof.
The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the system claims may also be implemented by one unit or means in software or hardware. The terms second, etc. are used to denote names, but not any particular order.
Finally, it should be noted that the above examples are only intended to illustrate the technical process of the present invention and not to limit the same, and although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that modifications or equivalent substitutions may be made to the technical process of the present invention without departing from the spirit and scope of the technical process of the present invention.
Claims (8)
1. A management and control analysis system for the whole detection process of distribution automation equipment is characterized by comprising an equipment numbering module, an equipment tracking module, a demand distribution module and an analysis management module;
the analysis management module is used for acquiring a device number, a warehousing label, a payment label, a detection label, a printing label, a delivery label, a return label, a defect feedback label, a precision label and a score value corresponding to the device and displaying the device number, the delivery label, the payment label, the detection label, the delivery label, the return label, the defect feedback label, the precision label and the score value in real time;
and when any one or more of the equipment number, the warehousing label, the payment label, the detection label, the printing label, the ex-warehouse label, the return label, the defect feedback label, the precision label and the score value corresponding to the equipment does not exist, the equipment number, the warehousing label, the payment label, the detection label, the printing label, the ex-warehouse label, the return label, the defect feedback label, the precision label and the score value are not displayed.
2. The system according to claim 1, wherein the equipment numbering module comprises an equipment identification unit, an equipment coding unit, an equipment time node unit, an equipment label unit and a data storage unit;
the equipment identification unit is used for identifying the equipment type and generating a type label, specifically, image acquisition is carried out on the equipment through a camera shooting acquisition node, an entity model of the equipment is established through three-dimensional modeling software, the entity model is substituted into a characteristic analysis model to obtain a characteristic value of the equipment, the characteristic value is compared with characteristic data in an equipment characteristic library, and the equipment type corresponding to the successfully compared characteristic data is marked as the type label;
the type label comprises an equipment name, an equipment manufacturer and an equipment type;
the device coding unit is used for acquiring a coding value of the device and generating a coding label, specifically, acquiring image acquisition data of the device, establishing data connection with image recognition software, performing image recognition on the image acquisition data, marking a code or batch information in a recognition result as a coding value, and recording the coding value as a coding label;
the equipment time node unit is used for recording equipment identification time nodes and generating time labels, and specifically, when the camera shooting acquisition node acquires images of equipment, Beijing time information and perpetual calendar information at the moment are acquired; generating a time label according to the perpetual calendar information-Beijing time information;
the equipment label unit is used for numbering and arranging the type label, the coding label and the time label corresponding to the equipment according to a standard mode to generate an equipment number of the equipment;
the standard arrangement of the numbers is specifically time labels, type labels and coding labels.
3. The system according to claim 2, wherein the characteristic analysis model comprises an input layer, a normalization layer, a selection layer, a learning layer, and an output layer;
the input layer is used for acquiring a model vector corresponding to the entity model of the equipment;
the normalization layer is used for selecting a standard model vector as a reference direction model vector;
the selection layer is used for selecting the model vector of the entity model corresponding to the reference direction model vector and marking the model vector as a characteristic value;
the learning layer performs iterative learning on the reference direction model vector through a convolutional neural network;
and the output layer acquires and outputs the characteristic value.
4. The system according to claim 3, wherein the reference direction model vector is a lowest point model vector in a standard three-dimensional view.
5. The system according to claim 1, wherein the equipment tracking module comprises an equipment warehousing unit, a fee payment unit, a detection implementation unit, an application unit, a delivery unit and a return unit;
the equipment warehousing unit is used for recording warehousing information of equipment and generating warehousing labels, and specifically comprises the steps of obtaining warehousing time, warehousing staff, warehouse names and warehousing numbers of the equipment, and generating the warehousing labels through the arrangement of the warehousing time, the warehousing numbers, the warehouse names and the warehousing staff;
the fee payment unit is used for generating a payment label; specifically, the payment condition of the equipment corresponding to a supplier is obtained, wherein the payment condition comprises payment or non-payment and payment time corresponding to the payment condition, and a payment label is generated through the arrangement of the payment condition and the payment time; when the payment condition is not payment, a payment label is not generated;
the detection implementation unit is used for recording the detection result and generating a detection label, and specifically, the detection implementation unit is used for acquiring the detection result and a detection number and generating the detection label through arrangement of the detection number and the detection result; the detection result is specifically qualified or unqualified;
the application unit is used for recording the application for printing of the equipment and generating a label for printing, and specifically, the application for printing and the time point for printing are obtained;
the ex-warehouse unit is used for recording ex-warehouse information of the equipment and generating ex-warehouse labels, specifically, the ex-warehouse time of the equipment and ex-warehouse operators are obtained, and the ex-warehouse labels are generated through the arrangement of the ex-warehouse time and the ex-warehouse operators;
the goods returning unit is used for recording goods returning information of the equipment and generating goods returning labels, specifically, the goods returning time and the goods returning operators of the equipment are obtained, and the goods returning labels are generated through the arrangement of the goods returning time and the goods returning operators.
6. The system according to claim 1, wherein the demand distribution module comprises a detection result statistics unit, an equipment defect feedback unit, an accuracy analysis unit, and a supplier evaluation unit;
the detection result counting unit is used for acquiring detection labels of the label equipment of the same type, counting detection results corresponding to the detection labels and generating a bar graph;
the device defect feedback unit is used for acquiring a detection report of unqualified devices corresponding to the detection labels, sending the detection report to a defect auditing expert port for auditing, collecting feedback results and generating defect feedback labels:
the precision analysis unit is used for acquiring a precision report of the equipment and generating a precision label;
the supplier evaluation unit is used for evaluating suppliers, and specifically, the supplier evaluation unit is used for obtaining detection labels of all equipment corresponding to equipment manufacturers and obtaining a scoring value through a scoring formula.
7. The system according to claim 6, wherein the scoring formula is, in particular,
8. the distribution automation device testing whole process management and control analysis system of claim 6 wherein the audit expert port is comprised of selected personnel of a testing center.
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