CN111369383B - Intelligent integrated management system for wire and cable production - Google Patents

Intelligent integrated management system for wire and cable production Download PDF

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CN111369383B
CN111369383B CN202010139879.3A CN202010139879A CN111369383B CN 111369383 B CN111369383 B CN 111369383B CN 202010139879 A CN202010139879 A CN 202010139879A CN 111369383 B CN111369383 B CN 111369383B
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management module
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CN111369383A (en
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毛华撑
于思杰
周妙根
李鹏鹏
齐红磊
周建华
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Chuangguang Cable Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/04—Manufacturing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/30—Noise filtering
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/10—Terrestrial scenes
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

Abstract

The utility model provides an intelligent integrated management system for electric wire and cable production, includes business management module, inventory management module, integrated management module, production management module and safety management module, business management module is used for managing electric wire and cable's sales order, inventory management module is arranged in managing electric wire and cable's raw and other materials and electric wire and cable's memory space in the warehouse, integrated management module is used for formulating according to business management module and inventory management module's statistical information the purchase order of raw and other materials and electric wire and cable's production plan, production management module carries out the purchase of raw and other materials according to the purchase order of the raw and other materials of formulating to and produce electric wire and cable according to the production plan of the electric wire and cable of formulating, safety management module is used for carrying out safety monitoring to electric wire and cable's workshop and warehouse. The invention has the beneficial effects that: the production efficiency of the electric wire and the electric cable is improved by applying the informatization technology to the production process of the electric wire and the electric cable.

Description

Intelligent integrated management system for wire and cable production
Technical Field
The invention relates to the field of production management of wires and cables, in particular to an intelligent integrated management system for wire and cable production.
Background
The existing enterprise management mode is lack of management on the progress of enterprise production products and the purchase of product raw materials, resource sharing and supervision among all departments cannot be realized, a uniform intelligent platform cannot be realized, so that the enterprise management efficiency is not ideal enough, and the development of enterprises is influenced. With the wide application and deep development of the informatization technology in enterprises, the enterprise environment and the operation management mode of the enterprises are changed greatly, and the development of the informatization technology provides advanced processing means and tools for the development and utilization of enterprise information resources.
Disclosure of Invention
In view of the above problems, the present invention aims to provide an intelligent integrated management system for wire and cable production.
The purpose of the invention is realized by the following technical scheme:
an intelligent integrated management system for the production of electric wires and cables comprises a service management module, an inventory management module, an integrated management module, a production management module and a safety management module, the business management module is used for carrying out statistics, display, query and modification operations on the sales orders of the electric wires and the cables, the inventory management module is used for counting, displaying, inquiring and modifying the storage quantity of raw materials for producing the electric wires and the electric cables in the warehouse, the integrated management module is used for making a purchase order of the raw materials and a production plan of the electric wires and the cables according to the statistical information of the business management module and the inventory management module, the production management module purchases the raw materials according to the made purchase order of the raw materials, and producing the electric wire and cable according to the formulated production plan of the electric wire and cable, wherein the safety management module is used for carrying out safety monitoring on a production workshop and a warehouse of the electric wire and cable.
The beneficial effects created by the invention are as follows: the information technology is applied to the production process of the electric wire and the electric cable, the sharing of data resources and the query of data in the production process of the electric wire and the electric cable are realized, so that the production efficiency of the electric wire and the electric cable and the management efficiency of enterprises are improved, the safety management module is arranged to safely monitor the production workshop and the warehouse of the electric wire and the electric cable from the aspects of video monitoring and sensor monitoring, the comprehensive and reliable monitoring of the production workshop and the warehouse of the electric wire and the electric cable is realized, and the smooth production activities of the electric wire and the electric cable are ensured; the safety management module is provided with an image processing unit for carrying out filtering processing on the acquired video image and correcting noise pixels in the video image, a designed filtering algorithm utilizes pixels in a local neighborhood of a pixel to be filtered to process the pixel, and if the pixels in the local neighborhood are the noise pixels in the designed filtering algorithm, the filtering weight of the pixels is close to zero in the filtering process, so that the effect of the noise pixels in pixel filtering is reduced, the filtering accuracy is increased, and the video monitoring accuracy is improved; when monitoring a production workshop of the electric wire and the electric cable and a reference environment, acquiring environmental parameter data of the production workshop of the electric wire and the electric cable and a warehouse by using a sensor node, transmitting the acquired environmental parameter data to a sink node, and performing noise detection on the received environmental parameter data by using the sink node, so that noise data in the environmental parameter data are removed, and the monitoring precision of the environment of the production workshop of the electric wire and the electric cable and the warehouse is improved; when the sink node performs noise detection on received environmental parameter data, detecting a sensor node collecting the detection data (the sensor node is referred to as a sensor node to be detected), setting an effective distance threshold according to actual requirements, determining an effective neighborhood node set of the sensor node to be detected according to the given effective distance threshold, ensuring that the environmental parameter data transmitted to the sink node at the same time by the sensor node in the effective neighborhood node set of the sensor node to be detected and the data to be detected have larger correlation, selecting a part of sensor nodes from the effective neighborhood node set of the sensor node to be detected as reference nodes of the sensor node to be detected to form a reference node set of the sensor node to be detected, wherein the sensor nodes in the reference node set are required to be within the effective distance threshold of the sensor node to be detected, the distance between at least m sensor nodes and the sensor node to be detected in the effective neighborhood node set is required to be smaller than or equal to the effective distance threshold, so that higher correlation between the sensor node to be detected and a reference node of the sensor node to be detected is further ensured, higher reference of environmental parameter data transmitted to the sink node at the same time by the reference node to the data to be detected is ensured, and the noise detection precision is improved; when the data to be detected is subjected to noise detection, environmental parameter data transmitted by sensor nodes in a reference node set received by a sink node at the same time is used as reference data, a noise detection factor is defined, the noise detection factor compares the data to be detected with the reference data to determine the local abnormal condition of the data to be detected, compares the local abnormal condition of the data to be detected with the local abnormal condition of the reference data to further determine the abnormal condition of the data to be detected, introduces a weight value to adjust the importance degree of the local abnormal condition of the reference data when comparing the abnormal condition of the data to be detected with the local abnormal condition of the reference data, and increases the number of overlapped sensor nodes in the reference node set of the sensor node transmitting the reference data and the effective neighborhood node set of the sensor node to be detected, the method comprises the steps of indicating that the reference data has higher reference value to data to be detected, improving the weight of the local abnormal condition of the parameter data, improving the detection precision of the local abnormal condition of the data to be detected, defining a noise detection function, selecting part of data received before the data to be detected from environmental parameter data transmitted by a sensor node to be detected, calculating the change condition of a noise detection factor corresponding to the data to be detected from the data to be detected as a reference value of the noise detection function, and comparing the current change condition of the noise detection factor of the data to be detected with the reference value, so as to judge whether the data to be detected is noise data or not, and the method can effectively detect the noise data and has higher noise detection precision.
Drawings
The invention is further described with the aid of the accompanying drawings, in which, however, the embodiments do not constitute any limitation to the invention, and for a person skilled in the art, without inventive effort, further drawings may be derived from the following figures.
FIG. 1 is a schematic diagram of the present invention.
Detailed Description
The invention is further described with reference to the following examples.
Referring to fig. 1, an intelligent integrated management system for electric wire and cable production according to the present embodiment includes a business management module, an inventory management module, an integrated management module, a production management module and a safety management module, wherein the business management module is configured to perform statistics, display, query and modification operations on a sales order of an electric wire and cable, the inventory management module is configured to perform statistics, display, query and modification operations on a storage amount of raw materials used for electric wire and cable production and a storage amount of an electric wire and cable in a warehouse, the integrated management module is configured to make a purchase order of the raw materials and a production plan of the electric wire and cable according to statistical information of the business management module and the inventory management module, the production management module purchases the raw materials according to the made purchase order of the raw materials and produces the electric wire and cable according to the made production plan of the electric wire and cable, and the safety management module is used for carrying out safety monitoring on a production workshop and a warehouse of the electric wire and the cable.
Preferably, the safety management module is used for carrying out safety monitoring on a production workshop and a warehouse of the electric wire and the cable, and comprises a video monitoring unit, an image processing unit, an environment monitoring unit, an alarm unit and an information display unit, the video monitoring unit adopts a camera to acquire video images in a production workshop and a warehouse of the electric wire and the cable, and transmits the obtained video image to an image processing unit for processing, the environment monitoring unit is used for obtaining environmental parameter data in a production workshop and a warehouse of the electric wire and the cable, and transmits the acquired environmental parameter data to an alarm unit and an information display unit, wherein the alarm unit is used for detecting the environmental parameter data, and when the environmental parameter data is higher than a given safety threshold value, alarming, wherein the information display unit is used for displaying the video image processed by the image processing unit and the environmental parameter data acquired by the environmental monitoring unit.
In the preferred embodiment, the safety management module is arranged to perform safety monitoring on the production workshop of the electric wires and the cables and the warehouse for storing raw materials of the electric wires and the cables from the aspects of video monitoring and sensor monitoring, so that comprehensive and reliable monitoring on the production workshop and the warehouse of the electric wires and the cables is realized, and the safe production and storage of the electric wires and the cables are ensured.
Preferably, the image processing unit is configured to perform filtering processing on the received video image, and set ItRepresenting an image processing unitVideo image received at time t, video image ItPerforming filtering process, setting It(I, j) represents a video image ItPixel at the middle coordinate (i, j), ft(I, j) is a pixel It(i, j) corresponding gray value, f't(I, j) represents a pixel It(i, j) the filtered gray value of f'tThe expression of (i, j) is:
Figure BDA0002398702520000041
Figure BDA0002398702520000042
in the formula, Kt(I, j) is represented by a pixel It(2c +1) × (2c +1) local neighbourhood centred on (I, j), c being a positive integer and having a value less than that of the video image ItThe length and the width of the base material,
Figure BDA0002398702520000043
representing a local neighborhood KtMedian value of the grey values of the pixels in (I, j), It(m, n) denotes the local neighborhood Kt(i, j) pixel at coordinate (m, n), ft(m, n) represents a pixel ItGrey scale value of (m, n) (. eta.)t(m, n) is a pixel It(m, N) filter weights, Nc(i, j) is the local neighborhood KtThe number of pixels in (i, j).
The preferred embodiment is used for filtering the acquired video image and correcting the noise pixel in the video image, the designed filtering algorithm utilizes the pixel in the local neighborhood of the pixel to be filtered to process the pixel, and if the pixel in the local neighborhood is the noise pixel, the filtering weight value of the pixel in the filtering process is close to zero in the designed filtering algorithm, so that the effect of the noise pixel in pixel filtering is reduced, and the filtering accuracy is increased.
Preferably, the environment monitoring unit is used for acquiring environmental parameter data (the environmental parameters) in a production workshop and a warehouse of the electric wire and the electric cableIncluding temperature, humidity, smoke concentration and carbon dioxide concentration), including sensor node and sink node, the sensor node is arranged in gathering the environmental parameter data in the workshop of electric wire and cable's production and warehouse to data transmission who obtains gathers to the sink node, the sink node is removed noise to the environmental parameter data of receiving and is handled, and will remove noise the environmental parameter data after handling and transmit alarm unit and information display unit to, establish and remove noise the environmental parameter data of handling and establish
Figure BDA0002398702520000044
Represents the jth sensor node for monitoring the environmental parameter i,
Figure BDA0002398702520000045
representing sensor nodes
Figure BDA0002398702520000046
The sensor node, the effective neighborhood node set of
Figure BDA0002398702520000047
Set of valid neighborhood nodes
Figure BDA0002398702520000048
The sensor nodes in (1) are all sensor nodes for monitoring the environmental parameter i, and an effective distance threshold value d (c) is given (wherein the effective distance threshold value d (c) can be set to be 1 meter), then
Figure BDA0002398702520000049
Wherein the content of the first and second substances,
Figure BDA00023987025200000410
representing a set of valid neighborhood nodes
Figure BDA00023987025200000411
The (g) th sensor node in (b),
Figure BDA00023987025200000412
representing sensor nodes
Figure BDA00023987025200000413
And a sensor node
Figure BDA00023987025200000414
The distance between the two or more of the two or more,
Figure BDA00023987025200000415
representing a set of valid neighborhood nodes
Figure BDA00023987025200000416
The number of sensor nodes in;
is provided with
Figure BDA00023987025200000417
Representing sensor nodes
Figure BDA00023987025200000418
A set of reference nodes, as a set of valid neighborhood nodes
Figure BDA00023987025200000419
In the sensor node
Figure BDA00023987025200000420
Set of valid neighborhood nodes
Figure BDA00023987025200000421
There are a minimum of m sensor nodes to sensor node
Figure BDA00023987025200000422
Is less than or equal to d (c) (wherein,
Figure BDA00023987025200000423
Figure BDA00023987025200000424
representing a set of valid neighborhood nodes
Figure BDA00023987025200000425
In the sensor nodeNumber), the sensor node is connected
Figure BDA0002398702520000051
Joining to a reference node set
Figure BDA0002398702520000052
In, is provided with
Figure BDA0002398702520000053
Wherein the content of the first and second substances,
Figure BDA0002398702520000054
representing a set of reference nodes
Figure BDA0002398702520000055
The first sensor node in (1) is,
Figure BDA0002398702520000056
representing a set of reference nodes
Figure BDA0002398702520000057
The number of sensor nodes in;
is provided with
Figure BDA0002398702520000058
Sensor node for representing sink node receiving at time t
Figure BDA0002398702520000059
Transmitted data of the environmental parameter i, definition data
Figure BDA00023987025200000510
Corresponding noise decision function is
Figure BDA00023987025200000511
And is
Figure BDA00023987025200000512
The expression of (a) is:
Figure BDA00023987025200000513
Figure BDA00023987025200000514
in the formula (I), the compound is shown in the specification,
Figure BDA00023987025200000515
representing data
Figure BDA00023987025200000516
The corresponding noise detection factor is used to determine,
Figure BDA00023987025200000517
representing data
Figure BDA00023987025200000518
The corresponding noise detection factor is used to determine,
Figure BDA00023987025200000519
representing the sensor node received by the sink node at time (t-1)
Figure BDA00023987025200000520
The transmitted data of the environment parameter i is transmitted,
Figure BDA00023987025200000521
representing data
Figure BDA00023987025200000522
The corresponding noise detection factor is used to determine,
Figure BDA00023987025200000523
sensor node for representing sink node receiving at k time
Figure BDA00023987025200000524
The transmitted data of the environment parameter i is transmitted,
Figure BDA00023987025200000525
representing data
Figure BDA00023987025200000526
The corresponding noise detection factor is used to determine,
Figure BDA00023987025200000527
representing the sensor node received by the sink node at time (k-1)
Figure BDA00023987025200000528
The transmitted data of the environment parameter i is transmitted,
Figure BDA00023987025200000529
and
Figure BDA00023987025200000530
according to the given value
Figure BDA00023987025200000531
The calculation formula of (a) can be obtained in the same way,
Figure BDA00023987025200000532
representing sensor nodes
Figure BDA00023987025200000533
The set of reference nodes of (1) is,
Figure BDA00023987025200000534
as a reference node set
Figure BDA00023987025200000535
The (v) th sensor node in (b),
Figure BDA00023987025200000536
to judge the function when
Figure BDA00023987025200000537
When the temperature of the water is higher than the set temperature,
Figure BDA00023987025200000538
when in use
Figure BDA00023987025200000539
When the temperature of the water is higher than the set temperature,
Figure BDA00023987025200000540
Figure BDA00023987025200000541
representing sensor nodes
Figure BDA00023987025200000542
And a sensor node
Figure BDA00023987025200000543
The distance between the two or more of the two or more,
Figure BDA00023987025200000544
representing a set of reference nodes
Figure BDA00023987025200000545
The number of sensor nodes in (1) is,
Figure BDA00023987025200000546
sensor node for representing sink node receiving at time t
Figure BDA00023987025200000547
The transmitted data of the environment parameter i is transmitted,
Figure BDA00023987025200000548
representing a set of reference nodes
Figure BDA00023987025200000549
The s-th sensor node in (b),
Figure BDA00023987025200000550
sensor node for representing sink node receiving at time t
Figure BDA00023987025200000551
The transmitted data of the environment parameter i is transmitted,
Figure BDA00023987025200000552
representing a set of reference nodes
Figure BDA00023987025200000553
The (a) th sensor node in (b),
Figure BDA00023987025200000554
sensor node for representing sink node receiving at time t
Figure BDA00023987025200000555
Transmitting the data of the environment parameter i;
when data
Figure BDA0002398702520000061
Corresponding noise judgment function
Figure BDA0002398702520000062
The sink node determines the data
Figure BDA0002398702520000063
Is normal data when
Figure BDA0002398702520000064
The sink node determines the data
Figure BDA0002398702520000065
Is noisy data, and the data is processed
Figure BDA0002398702520000066
And (5) deleting.
In the preferred embodiment, the sensor node is adopted to collect the environmental parameter data of the production workshop and the warehouse of the electric wire and cable, and transmit the collected environmental parameter data to the sink node, and the sink node carries out noise detection on the received environmental parameter data, so that the noise data in the environmental parameter data are removed, and the monitoring precision of the production workshop and the warehouse environment of the electric wire and cable is improved; when the sink node performs noise detection on received environmental parameter data, detecting a sensor node collecting the detection data (the sensor node is referred to as a sensor node to be detected), setting an effective distance threshold according to actual requirements, determining an effective neighborhood node set of the sensor node to be detected according to the given effective distance threshold, ensuring that the environmental parameter data transmitted to the sink node at the same time by the sensor node in the effective neighborhood node set of the sensor node to be detected and the data to be detected have larger correlation, selecting a part of sensor nodes from the effective neighborhood node set of the sensor node to be detected as reference nodes of the sensor node to be detected to form a reference node set of the sensor node to be detected, wherein the sensor nodes in the reference node set are required to be within the effective distance threshold of the sensor node to be detected, the distance between at least m sensor nodes and the sensor node to be detected in the effective neighborhood node set is required to be smaller than or equal to the effective distance threshold, so that higher correlation between the sensor node to be detected and a reference node of the sensor node to be detected is further ensured, higher reference of environmental parameter data transmitted to the sink node at the same time by the reference node to the data to be detected is ensured, and the noise detection precision is improved; when the data to be detected is subjected to noise detection, environmental parameter data transmitted by reference nodes received by sink nodes at the same time is taken as reference data, a noise detection factor is defined, the noise detection factor determines the local abnormal condition of the data to be detected by comparing the data to be detected with the reference data, and further determines the abnormal condition of the data to be detected by comparing the local abnormal condition of the data to be detected with the local abnormal condition of the reference data, when the abnormal condition of the data to be detected is compared with the local abnormal condition of the reference data, a weight is introduced to adjust the importance degree of the local abnormal condition of the reference data, when the number of overlapped sensor nodes in a reference node set of the sensor nodes transmitting the reference data and an effective neighborhood node set of the sensor nodes to be detected is more, the method comprises the steps of indicating that the reference data has higher reference value to data to be detected, improving the weight of the local abnormal condition of the parameter data, improving the detection precision of the local abnormal condition of the data to be detected, defining a noise detection function, selecting part of data received before the data to be detected from environmental parameter data transmitted by a sensor node to be detected, calculating the change condition of a noise detection factor corresponding to the data to be detected from the data to be detected as a reference value of the noise detection function, and comparing the current change condition of the noise detection factor of the data to be detected with the reference value, so as to judge whether the data to be detected is noise data or not, and the method can effectively detect the noise data and has higher noise detection precision.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the protection scope of the present invention, although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims (3)

1. An intelligent integrated management system for wire and cable production is characterized by comprising a business management module, an inventory management module, an integrated management module, a production management module and a safety management module, wherein the business management module is used for counting, displaying, inquiring and modifying sales orders of wires and cables, the inventory management module is used for counting, displaying, inquiring and modifying the storage quantity of raw materials for wire and cable production and the storage quantity of the wires and cables in a warehouse, the integrated management module is used for making a purchase order of the raw materials and a production plan of the wires and cables according to the statistical information of the business management module and the inventory management module, the production management module is used for purchasing the raw materials according to the made purchase order of the raw materials and producing the wires and cables according to the made production plan of the wires and cables, the safety management module is used for carrying out safety monitoring on the production workshop and the warehouse of the electric wire and the cableThe system comprises a video monitoring unit, an image processing unit, an environment monitoring unit, an alarming unit and an information display unit, wherein the video monitoring unit acquires video images in a production workshop and a warehouse of the electric wire and cable by adopting a camera and transmits the acquired video images to the image processing unit for processing, the environment monitoring unit is used for acquiring environment parameter data in the production workshop and the warehouse of the electric wire and cable, the alarming unit is used for detecting the acquired environment parameter data and alarming when the environment parameter data is higher than a given safety threshold value, and the information display unit is used for displaying the video images processed by the image processing unit and the environment parameter data acquired by the environment monitoring unit; the image processing unit carries out filtering processing on the received video image and is provided with ItRepresenting the video image received by the image processing unit at time t, for video image ItPerforming filtering process, setting It(I, j) represents a video image ItPixel at the middle coordinate (i, j), ft(I, j) is a pixel It(i, j) corresponding gray value, f't(I, j) represents a pixel It(i, j) the filtered gray value of f'tThe expression of (i, j) is:
Figure FDA0002716416020000011
Figure FDA0002716416020000012
in the formula, Kt(I, j) is represented by a pixel It(2c +1) × (2c +1) local neighbourhood centred on (I, j), c being a positive integer and having a value less than that of the video image ItThe length and the width of the base material,
Figure FDA0002716416020000013
representing a local neighborhood KtMedian value of the grey values of the pixels in (I, j), It(m, n) denotes the local neighborhood KtAt coordinate (m, n) in (i, j)Pixel of (d), ft(m, n) represents a pixel ItGrey scale value of (m, n) (. eta.)t(m, n) is a pixel It(m, N) filter weights, Nt(i, j) is the local neighborhood KtThe number of pixels in (i, j).
2. The intelligent integrated management system for the production of electric wires and cables as claimed in claim 1, wherein the environment monitoring unit is used for acquiring environmental parameter data in a production workshop and a warehouse of electric wires and cables, and comprises sensor nodes and sink nodes, the sensor nodes are used for acquiring the environmental parameter data in the production workshop and the warehouse of electric wires and cables and transmitting the acquired environmental parameter data to the sink nodes, the sink nodes perform denoising processing on the received environmental parameter data and transmit the denoised environmental parameter data to the alarm unit and the information display unit, and the alarm unit and the information display unit are provided with the environment monitoring unit
Figure FDA0002716416020000021
Represents the jth sensor node for monitoring the environmental parameter i,
Figure FDA0002716416020000022
representing sensor nodes
Figure FDA0002716416020000023
Given an effective distance threshold d (c), then
Figure FDA0002716416020000024
Wherein the content of the first and second substances,
Figure FDA0002716416020000025
representing a set of valid neighborhood nodes
Figure FDA0002716416020000026
The (g) th sensor node in (b),
Figure FDA0002716416020000027
representing sensor nodes
Figure FDA0002716416020000028
And a sensor node
Figure FDA0002716416020000029
The distance between the two or more of the two or more,
Figure FDA00027164160200000210
representing a set of valid neighborhood nodes
Figure FDA00027164160200000211
The number of sensor nodes in;
is provided with
Figure FDA00027164160200000212
Representing sensor nodes
Figure FDA00027164160200000213
As sensor nodes
Figure FDA00027164160200000214
Set of valid neighborhood nodes
Figure FDA00027164160200000215
In which there are at least m sensor nodes to a sensor node
Figure FDA00027164160200000216
When the distance is less than or equal to d (c), the sensor node is connected
Figure FDA00027164160200000217
Joining to a reference node set
Figure FDA00027164160200000218
Middle is provided with
Figure FDA00027164160200000219
Wherein the content of the first and second substances,
Figure FDA00027164160200000220
representing a set of reference nodesThe first sensor node in (1) is,
Figure FDA00027164160200000222
representing a set of reference nodes
Figure FDA00027164160200000223
The number of sensor nodes in;
is provided with
Figure FDA00027164160200000224
Sensor node for representing sink node receiving at time t
Figure FDA00027164160200000225
Transmitted data of the environmental parameter i, definition data
Figure FDA00027164160200000226
Corresponding noise decision function is
Figure FDA00027164160200000227
And is
Figure FDA00027164160200000228
The expression of (a) is:
Figure FDA00027164160200000229
Figure FDA00027164160200000230
in the formula, Yi j(t) represents data
Figure FDA00027164160200000231
Corresponding noise detection factor, Yi j(t-1) represents data
Figure FDA00027164160200000232
The corresponding noise detection factor is used to determine,
Figure FDA00027164160200000233
representing the sensor node received by the sink node at time (t-1)
Figure FDA00027164160200000234
Transmitted data of the environmental parameter i, Yi j(k) Representing data
Figure FDA00027164160200000235
The corresponding noise detection factor is used to determine,
Figure FDA00027164160200000236
sensor node for representing sink node receiving at k time
Figure FDA00027164160200000237
Transmitted data of the environmental parameter i, Yi j(k-1) represents data
Figure FDA00027164160200000238
The corresponding noise detection factor is used to determine,
Figure FDA00027164160200000239
representing the sensor node received by the sink node at time (k-1)
Figure FDA00027164160200000240
The transmitted data of the environment parameter i is transmitted,
Figure FDA00027164160200000241
representing sensor nodes
Figure FDA00027164160200000242
The set of reference nodes of (1) is,
Figure FDA00027164160200000243
as a reference node set
Figure FDA00027164160200000244
The (v) th sensor node in (b),
Figure FDA0002716416020000031
to judge the function when
Figure FDA0002716416020000032
When the temperature of the water is higher than the set temperature,
Figure FDA0002716416020000033
when in use
Figure FDA0002716416020000034
When the temperature of the water is higher than the set temperature,
Figure FDA0002716416020000035
Figure FDA0002716416020000036
representing sensor nodes
Figure FDA0002716416020000037
And a sensor node
Figure FDA0002716416020000038
The distance between the two or more of the two or more,
Figure FDA0002716416020000039
representing a set of reference nodes
Figure FDA00027164160200000310
The number of sensor nodes in (1) is,
Figure FDA00027164160200000311
sensor node for representing sink node receiving at time t
Figure FDA00027164160200000312
The transmitted data of the environment parameter i is transmitted,
Figure FDA00027164160200000313
representing a set of reference nodes
Figure FDA00027164160200000314
The s-th sensor node in (b),
Figure FDA00027164160200000315
sensor node for representing sink node receiving at time t
Figure FDA00027164160200000316
The transmitted data of the environment parameter i is transmitted,
Figure FDA00027164160200000317
representing a set of reference nodes
Figure FDA00027164160200000318
The (a) th sensor node in (b),
Figure FDA00027164160200000319
sensor node for representing sink node receiving at time t
Figure FDA00027164160200000320
Transmitting the data of the environment parameter i;
when data
Figure FDA00027164160200000321
Corresponding noise judgment function
Figure FDA00027164160200000322
The sink node determines the data
Figure FDA00027164160200000323
Is normal data when
Figure FDA00027164160200000324
The sink node determines the data
Figure FDA00027164160200000325
Is noisy data, and the data is processed
Figure FDA00027164160200000326
And (5) deleting.
3. An intelligent integrated management system for wire and cable production as claimed in claim 2, wherein said environmental parameters include temperature, humidity, smoke concentration and carbon dioxide concentration.
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